This dataset provides indicators of population and built-up exposure to coastal floods.
\n\nCoastal flooding indicators are estimated using the Global coastal flood hazard maps (Muis, S. et al., 2016). 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 (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).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Coastal flooding - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population and built-up exposure to coastal floods.
\n\nCoastal flooding indicators are estimated using the Global coastal flood hazard maps (Muis, S. et al., 2016). 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 (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).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Coastal flooding - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population and land exposure to wildfires.
\n\nThe indicators use the JRC's Global wildfire dataset of fire regimes and fire behaviours (Art\u00e9s, T. et al., 2019), 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 (Copernicus Climate Change Service, Climate Data Store, 2019). For population exposure, a 5-km buffer was added to the wildfire perimeters before intersecting with the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Wildfires - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population and land exposure to wildfires.
\n\nThe indicators use the JRC's Global wildfire dataset of fire regimes and fire behaviours (Art\u00e9s, T. et al., 2019), 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 (Copernicus Climate Change Service, Climate Data Store, 2019). For population exposure, a 5-km buffer was added to the wildfire perimeters before intersecting with the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Wildfires - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of population exposure to heat stress.
\n\nThe 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\u00b0C to 38\u00b0C are considered as strong heat stress, from 38\u00b0C to 46\u00b0C as very strong heat stress, and above 46\u00b0C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store (Di Napoli C. et al.). For each 0.25\u00b0 by 0.25\u00b0 grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32\u00b0C, 38\u00b0C and 46\u00b0C) 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 (European Commission, GHSL Data Package 2023).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Heat stress - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of population exposure to heat stress.
\n\nThe 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\u00b0C to 38\u00b0C are considered as strong heat stress, from 38\u00b0C to 46\u00b0C as very strong heat stress, and above 46\u00b0C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store (Di Napoli C. et al.). For each 0.25\u00b0 by 0.25\u00b0 grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32\u00b0C, 38\u00b0C and 46\u00b0C) 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 (European Commission, GHSL Data Package 2023).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Heat stress - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs).
\n\nThe indicators use ERA5-Land data. Total precipitation is the sum of all liquid and frozen water\u2014such as rain and snow\u2014that 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\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Precipitations - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs).
\n\nThe indicators use ERA5-Land data. Total precipitation is the sum of all liquid and frozen water\u2014such as rain and snow\u2014that 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\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Precipitations - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population and built-up exposure to river floods.
\n\nRiver flooding indicators use the River Flood Hazard Maps at European and Global Scales datasets (Dottori, F. et al., 2021), 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 (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).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (River flooding - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population and built-up exposure to river floods.
\n\nRiver flooding indicators use the River Flood Hazard Maps at European and Global Scales datasets (Dottori, F. et al., 2021), 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 (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).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (River flooding - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of air temperature, hot days, tropical nights and icing days.
\n\nIndicators are estimated using ERA5-Land 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\u00b0C. Tropical nights correspond to the days when the minimum temperature is above 20\u00b0C, and icing days to the number of days when the maximum temperature is below 0\u00b0C.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Air temperature, hot days, tropical nights and icing days - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of air temperature, hot days, tropical nights and icing days.
\n\nIndicators are estimated using ERA5-Land 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\u00b0C. Tropical nights correspond to the days when the minimum temperature is above 20\u00b0C, and icing days to the number of days when the maximum temperature is below 0\u00b0C.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Air temperature, hot days, tropical nights and icing days - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.
\n\n\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 this link.
\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 (European Commission, GHSL Data Package 2023). 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.
\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Population by age and sex - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.
\n\n\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 this link.
\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 (European Commission, GHSL Data Package 2023). 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.
\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Population by age and sex - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.
\n\n\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 this link.
\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 (European Commission, GHSL Data Package 2023). 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.
\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Dependency ratio - Cities and FUAs),\u00a0http://oe.cd/geostats
\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.
\n\n\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 this link.
\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 (European Commission, GHSL Data Package 2023). 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.
\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Dependency ratio - Cities and FUAs),\u00a0http://oe.cd/geostats
\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.
\n\n\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 this link.
\nFor more details on data sources for each country, please see Astruc-Le Souder et al. (2024).\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Foreign-born population - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.
\n\n\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 this link.
\nFor more details on data sources for each country, please see Astruc-Le Souder et al. (2024).\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Foreign-born population - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of internet speed (downloading and uploading speeds) in FUAs and cities compared to the national values.
\n\nThe indicator uses quarterly data from Speedtest\u00ae by Ookla\u00ae Global Fixed and Mobile Network Performance Maps, based on analysis by Ookla of Speedtest Intelligence\u00ae 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.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Internet speed - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of internet speed (downloading and uploading speeds) in FUAs and cities compared to the national values.
\n\nThe indicator uses quarterly data from Speedtest\u00ae by Ookla\u00ae Global Fixed and Mobile Network Performance Maps, based on analysis by Ookla of Speedtest Intelligence\u00ae 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.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Internet speed - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.
\n\n\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 (European Commission, GHSL Data Package 2023). 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.
\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 (US Bureau of Economic Analysis), and then aggregated by FUA.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Economy - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.
\n\n\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 (European Commission, GHSL Data Package 2023). 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.
\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 (US Bureau of Economic Analysis), and then aggregated by FUA.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Economy - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\n\nThe indicators use 0.1-degree resolution grids from the ERA5-Land dataset. 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\u00b0C for CDDs and 15\u00b0C for HDDs.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Cooling and heating degree days - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\n\nThe indicators use 0.1-degree resolution grids from the ERA5-Land dataset. 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\u00b0C for CDDs and 15\u00b0C for HDDs.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Cooling and heating degree days - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).
\n\nThe indicator uses ESA Worldcover data (Zanaga et al., 2021), 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.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Green areas - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).
\n\nThe indicator uses ESA Worldcover data (Zanaga et al., 2021), 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.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Green areas - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.
\n\nAir pollution indicators use PlumLabs ( \u201cPlume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data.\u201d Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/) gridded data. The available 0.1\u00b0 by 0.1\u00b0 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 \u03bcg/m\u00b3 for PM2.5, 15 \u03bcg/m\u00b3 for PM10, 60 \u03bcg/m\u00b3 for ozone, and 10 \u03bcg/m\u00b3 for nitrogen dioxide).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Air pollution - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.
\n\nAir pollution indicators use PlumLabs ( \u201cPlume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data.\u201d Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/) gridded data. The available 0.1\u00b0 by 0.1\u00b0 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 \u03bcg/m\u00b3 for PM2.5, 15 \u03bcg/m\u00b3 for PM10, 60 \u03bcg/m\u00b3 for ozone, and 10 \u03bcg/m\u00b3 for nitrogen dioxide).
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Air pollution - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe 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 MODIS yearly land cover data, and non-urban lands correspond to the remaining classes, except \"water bodies\". Land surface temperature is derived from MODIS Terra and Aqua 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 Regions and Cities at a Glance 2022.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Urban heat island - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe 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 MODIS yearly land cover data, and non-urban lands correspond to the remaining classes, except \"water bodies\". Land surface temperature is derived from MODIS Terra and Aqua 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 Regions and Cities at a Glance 2022.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Urban heat island - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe 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, http://oe.cd/ipstats. \n
\nPatents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed.\n
\nPatents are classified as environment-related following their technology domain, obtained from the methodology of the Environment-related technologies patents national-level dataset (database documentation). Environment-related patents include patents on climate change mitigation, environmental management, sustainable ocean economy and climate change adaptation technologies.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Environment-related patents - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe 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, http://oe.cd/ipstats. \n
\nPatents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed.\n
\nPatents are classified as environment-related following their technology domain, obtained from the methodology of the Environment-related technologies patents national-level dataset (database documentation). Environment-related patents include patents on climate change mitigation, environmental management, sustainable ocean economy and climate change adaptation technologies.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Environment-related patents - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\n\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 (European Commission, GHSL Data Package 2023). 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.
\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 (US Bureau of Labor Statistics), and then aggregated by FUA.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Labour market - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\n\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 (European Commission, GHSL Data Package 2023). 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.
\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 (US Bureau of Labor Statistics), and then aggregated by FUA.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Labour market - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population density and built-up area in FUAs and cities.
\n\n\nFUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHS built-up surface grids (European Commission, GHSL Data Package 2023). Population counts are extracted from the Population by age and sex - FUAs and cities dataset.\n
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Population and built-up density - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides indicators of population density and built-up area in FUAs and cities.
\n\n\nFUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHS built-up surface grids (European Commission, GHSL Data Package 2023). Population counts are extracted from the Population by age and sex - FUAs and cities dataset.\n
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Population and built-up density - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.
\n\n\nLocal administrative units (LAUs) are mapped to FUAs and cities using GIS techniques. The correspondence table between LAUs and FUAs/cities is available following this link.
\nInformation on population is extracted from the Population by age and sex - FUAs and cities dataset.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Local administrative units - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.
\n\n\nLocal administrative units (LAUs) are mapped to FUAs and cities using GIS techniques. The correspondence table between LAUs and FUAs/cities is available following this link.
\nInformation on population is extracted from the Population by age and sex - FUAs and cities dataset.\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Local administrative units - Cities and FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe indicator uses:\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Access to public transport - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe indicator uses:\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Access to public transport - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe indicator uses:\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Access to services - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe indicator uses:\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Access to services - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe indicator uses data extracted from the Eurostat database 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 annex of Regions and Cities at a Glance 2024.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Main mode of transport to work - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe indicator uses data extracted from the Eurostat database 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 annex of Regions and Cities at a Glance 2024.
\n\nThe OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Main mode of transport to work - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe methodology follows the OECD-International Transport Forum/European Commission Urban Access Framework (UAF) (ITF, 2019). The indicator uses:\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Transport performance - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
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.
\n\nThe methodology follows the OECD-International Transport Forum/European Commission Urban Access Framework (UAF) (ITF, 2019). The indicator uses:\n
The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:\n
OECD Regions, cities and local areas database (Transport performance - FUAs),\u00a0http://oe.cd/geostats
\n\nFor any question or comment, please write to RegionStat@oecd.org
FUA and City Statistics can be further explored with the interactive OECD Regions and Cities Statistical Atlas web-tool.
This dataset provides estimates on the exposure to air pollution in OECD Local Areas.
\n\n\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).
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides air temperature trends in OECD Local Areas.
\n\n\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 \u00b0C) are calculated relative to the average air temperature over the period from 1981 to 2010.\n
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides estimates on the share of population exposed to coastal flooding in OECD Local Areas.
\n\n\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
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\n\nThis dataset provides municipal and local area statistics on Cooling and Heating Degree Days (CDDs and HDDs)
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\n\nCDDs measure the intensity (in \u00b0C) 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\u00b0C). 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\u00b0C).\nCooling Degree Days are assessed based on ERA5-Land using the average annual air temperature at 2 meters height.\n
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides the degree of urbanisation in OECD Local Areas.
\n\n\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
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 count.
\n\n The full dataset can be downloaded here: Download Microdata \n\nThis dataset provides population density values in OECD Local Areas.
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 estimate.
\n\n The full dataset can be downloaded here: Download Microdata \n\nThis dataset provides population counts by age and sex groups in OECD Local Areas.
\n\nThe 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.
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 estimate.
\n\n The full dataset can be downloaded here: Download Microdata \n\nCet ensemble de donn\u00e9es fournit des chiffres de population par tranche d'\u00e2ge dans les zones locales de l'OCDE.
\n\nLa population par tranche d'\u00e2ge est fournie par sexe pour 3 tranches d'\u00e2ge : moins de 14 ans, entre 15 et 64 ans et plus de 65 ans.
\n\nLes donn\u00e9es sont organis\u00e9es au niveau territorial 2 (TL2). Pour visualiser les donn\u00e9es au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante.
\n\n L'ensemble de donn\u00e9es complet peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici\u00a0: T\u00e9l\u00e9charger Microdonn\u00e9es \n\nThis dataset provides green areas estimates for OECD Local Areas.
\n\nGreen 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).
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\nThe full dataset can be downloaded here: Download Microdata \n\nCet ensemble de donn\u00e9es fournit des estimations des zones vertes pour les zones locales de l'OCDE.
\n\nLes zones vertes estim\u00e9es sont d\u00e9finies comme la somme des classes de couverture terrestre WorldCover : arbres, arbustes et prairies. Les indicateurs affich\u00e9s sont la part des espaces verts (en % de la superficie totale) et des espaces verts par habitant (en m2 par habitant)
\n\nLes donn\u00e9es sont organis\u00e9es au niveau territorial 2 (TL2). Pour visualiser les donn\u00e9es au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante.
\n\nL'ensemble de donn\u00e9es complet peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici\u00a0: T\u00e9l\u00e9charger Microdonn\u00e9es \n\nThis dataset provides land cover estimates for OECD Local Areas.
\n\nThe land use and land cover indicators are based on the WorldCover dataset. The land cover classes available are: \n
The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nCet ejeu de donn\u00e9es contient des estimations de la couverture terrestre pour les zones locales de l'OCDE.
\n\nLes indicateurs d'utilisation et de couverture des terres sont bas\u00e9s sur l'ensemble de donn\u00e9es WorldCover. Les classes de couverture terrestre disponibles sont : \n
Les donn\u00e9es sont organis\u00e9es au niveau territorial 2 (TL2). Pour visualiser les donn\u00e9es au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante.
\n\nL'ensemble de donn\u00e9es complet peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici\u00a0: T\u00e9l\u00e9charger Microdonn\u00e9es \n\nThis dataset provides extreme temperature trends, such as hot and icing days and tropical nights in OECD Local Areas.
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\n\nHot days are defined as days during which the maximum temperature is higher than 35\u00b0C. Tropical nights refer to nights during which the minimum temperature is higher than 20\u00b0C. Icing days are defined as days during which the maximum temperature is lower than 0\u00b0C. Anomalies are calculated relative to the average air temperature over the period from 1981 to 2010.\n
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides estimates on the shared of burned areas in OECD Local Areas.
\n\n\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
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides land cover built up area estimates for OECD Local Areas.
\n\nThe 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
The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nCe jeu de donn\u00e9es fournit des estimations de l'occupation des sols sont bas\u00e9s pour les zones locales de l'OCDE.
\n\nLes indicateurs de zones b\u00e2ties de l'occupation des sols sont bas\u00e9s sur le jeu de donn\u00e9es du Global Human Settlement Layer (GHSL). Les classes suivantes de surface et de volume sont disponibles : \n\n
Les donn\u00e9es sont organis\u00e9es au Niveau Territorial 2 (TL2). Pour visualiser les donn\u00e9es au niveau des zones locales, cliquez sur l'indicateur TL2 correspondant.
\nLe jeu de donn\u00e9es complet peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici : T\u00e9l\u00e9charger les microdonn\u00e9es\n\nThis dataset provides estimates on the energy used for heating in dwellings for OECD Local Areas.
\n\nThe energy sources used for heating in dwellings include electricity, natural gas, district heating, fuel oil, coal, biomass, and other sources.\n
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides employment rates and number of employed people by age and sex for OECD Local Areas.
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nCe jeu de donn\u00e9es contient les taux d'emploi et le nombre de personnes occup\u00e9es par \u00e2ge et sexe pour les zones locales de l'OCDE.
\n\nLes donn\u00e9es sont organis\u00e9es au niveau territorial 2 (TL2). Pour visualiser les donn\u00e9es au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante.
\n\nL'ensemble de donn\u00e9es complet peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici\u00a0: T\u00e9l\u00e9charger Microdonn\u00e9es \n\nThis dataset provides trends on total precipitation and extreme precipitation days in OECD Local Areas.
\n\n\nTotal precipitation is the sum of all liquid and frozen water\u2014such as rain and snow\u2014that 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\u20132010 baseline average. All values are given in millimetres (mm).\n
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides estimates on the share and coverage of Protected Areas in OECD Local Areas.
\n\n\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.
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides estimates on the share of population exposed to river flooding in OECD Local Areas.
\n\n\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
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides soil moisture trends in OECD Local Areas.
\n\n\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
\n\nThe data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\n\nThe full dataset can be downloaded here: Download Microdata \n\nThis dataset provides mode of transport to work estimates for OECD Local Areas.
\n\nThe 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.
\n\nThe data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator.
\n\nThe full dataset can be downloaded here: Download Microdata \n\nCet ensemble de donn\u00e9es fournit des estimations du mode de transport pour se rendre au travail pour les zones locales de l'OCDE.
\n\nLes principaux modes de transport utilis\u00e9s par les travailleurs pour se rendre au travail sont class\u00e9s en 5 types : voiture, scooter, transports en commun (y compris les bus d'entreprise), v\u00e9lo ou marche. Les travailleurs travaillant \u00e0 domicile sont exclus de cet indicateur.
\n\nLes donn\u00e9es sont organis\u00e9es au niveau territorial 2 (TL2). Pour visualiser les donn\u00e9es au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante.
\n\nL'ensemble de donn\u00e9es complet peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici\u00a0: T\u00e9l\u00e9charger Microdonn\u00e9es \n\nThis dataset provides subnational statistics on Cooling and Heating Degree Days (CDDs and HDDs), in large (TL2) and small (TL3) regions.
\nData definition and source
\nCDDs measure the intensity (in °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°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). The source of the data is based on Global Land Data Acquisition System (GLDAS), using a 0.25 degree resolution global gridded dataset of monthly and annual cooling and heating degree-days (1970-2018).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques infranationales sur les Jours de Degr\u00e9 de Refroidissement et de Chauffage (CDD et HDD), dans les r\u00e9gions de grande taille (TL2) et de petite taille (TL3).
\nD\u00e9finition des donn\u00e9es et source
\nLes CDD mesurent l'intensit\u00e9 (en °C) et la dur\u00e9e (en jours) des besoins de refroidissement. Plus pr\u00e9cis\u00e9ment, les CDD annuels sont la somme, sur une ann\u00e9e, des diff\u00e9rences entre la temp\u00e9rature moyenne quotidienne de l'air ext\u00e9rieur et la temp\u00e9rature seuil (22°C). De mani\u00e8re similaire, les HDD mesurent les besoins de chauffage et correspondent \u00e0 la somme, sur une ann\u00e9e, des diff\u00e9rences entre la temp\u00e9rature seuil et la temp\u00e9rature moyenne quotidienne de l'air ext\u00e9rieur lorsque la temp\u00e9rature ext\u00e9rieure est inf\u00e9rieure \u00e0 la temp\u00e9rature seuil (15°C). La source des donn\u00e9es est bas\u00e9e sur le Global Land Data Acquisition System (GLDAS), utilisant un jeu de donn\u00e9es global en grille de r\u00e9solution de 0,25 degr\u00e9 des Jours de Degr\u00e9 de Refroidissement et de Chauffage mensuels et annuels (1970-2018).
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_CLIM", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_CLIM@DF_CLIM", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Climate hasard statistics - Regions"}, {"@xml:lang": "fr", "#text": "Statistiques sur le changment climatique - Regions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides subnationaltional statistics on environment and climate, in small and large regions.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides subnationaltional statistics on environment and climate, in small and large regions.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_CLIM", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_CLIM@DF_FIRES", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Wildfires - Regions"}, {"@xml:lang": "fr", "#text": "Feux de for\u00eats - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides regional statistics on exposure to wildfires, in large (TL2) and small (TL3) regions.
\nData definition and source
\nExposure to wildfire indicators are derived from JRC's Global wildfire dataset for the analysis of fire regimes and fire behaviours.See the methodology.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques r\u00e9gionales sur l'exposition aux incendies de for\u00eat, dans les r\u00e9gions de grande taille (TL2) et de petite taille (TL3).
\nD\u00e9finition des donn\u00e9es et source
\nLes indicateurs d'exposition aux incendies de for\u00eat sont d\u00e9riv\u00e9s du jeu de donn\u00e9es mondial sur les incendies de for\u00eat du JRC pour l'analyse des r\u00e9gimes d'incendie et des comportements d'incendie. Voir la m\u00e9thodologie.
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_CLIM", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_CLIM@DF_FLOOD", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "River and coastal flooding - Regions"}, {"@xml:lang": "fr", "#text": "Inondations c\u00f4ti\u00e8res et fluviales - Regions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides subnational statistics on exposure to coastal and river flooding, in TL2 and TL3 regions.
\nData definition and source
\nExposure 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 methodology. Coastal flooding indicators are estimated using the Global coastal flood hazard maps (Muis, S. et al., 2016). 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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques infranationales sur l'exposition aux inondations c\u00f4ti\u00e8res et fluviales, dans les r\u00e9gions TL2 et TL3.
\nD\u00e9finition des donn\u00e9es et source
\nLes indicateurs d'exposition aux inondations sont bas\u00e9s sur l'ampleur des \u00e9v\u00e9nements d'inondation de diff\u00e9rents intervalles de retour (10 \u00e0 100 ans). Un intervalle de retour correspond \u00e0 l'intervalle de temps estim\u00e9 entre les inondations de similarit\u00e9 d'intensit\u00e9. Les indicateurs d'inondation fluviale sont estim\u00e9s \u00e0 l'aide des cartes de risque d'inondation fluviale \u00e0 l'\u00e9chelle europ\u00e9enne et mondiale, voir la m\u00e9thodologie. Les indicateurs d'inondation c\u00f4ti\u00e8re sont estim\u00e9s \u00e0 l'aide des cartes mondiales de risque d'inondation c\u00f4ti\u00e8re (Muis, S. et al., 2016). Ce jeu de donn\u00e9es fournit l'\u00e9tendue des inondations c\u00f4ti\u00e8res pour diff\u00e9rents intervalles de retour (10 \u00e0 100 ans) avec une r\u00e9solution d'1 kilom\u00e8tre. L'exposition des zones urbanis\u00e9es aux inondations c\u00f4ti\u00e8res est calcul\u00e9e en croisant cette carte avec les donn\u00e9es annuelles de couverture terrestre Copernicus (Copernicus Climate Change Service, Climate Data Store, 2019) et l'exposition de la population est calcul\u00e9e en utilisant la couche de population des \u00e9tablissements humains mondiaux (Commission europ\u00e9enne, Ensemble de donn\u00e9es GHSL 2023).
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_CLIM", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_CLIM@DF_HEAT_STRESS", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Heat stress - Regions"}, {"@xml:lang": "fr", "#text": "Exposition au stress thermique - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides regional statistics on population exposure to heat stress, in large (TL2) and small (TL3) regions.
\nData definition and source
\nHeat 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°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. See the methodology.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques r\u00e9gionales sur l'exposition de la population au stress thermique, dans les r\u00e9gions de grande taille (TL2) et de petite taille (TL3).
\nD\u00e9finition des donn\u00e9es et source
\nLe stress thermique est estim\u00e9 en utilisant l'Indice Universel de Confort Thermique (UTCI). L'UTCI permet d'\u00e9valuer l'impact des conditions atmosph\u00e9riques sur le corps humain en tenant compte de la temp\u00e9rature de l'air, du vent, du rayonnement et de l'humidit\u00e9. Les valeurs d'UTCI de 32\u00a0\u00b0C \u00e0 38\u00a0\u00b0C sont consid\u00e9r\u00e9es comme un fort stress thermique, de 38\u00a0\u00b0C \u00e0 46\u00a0\u00b0C comme un stress thermique tr\u00e8s fort, et au-dessus de 46\u00a0\u00b0C comme un stress thermique extr\u00eame. L'exposition de la population au stress thermique a \u00e9t\u00e9 calcul\u00e9e \u00e0 l'aide des grilles horaires des indices de confort thermique de Copernicus Climate Data Store. Voir la m\u00e9thodologie.
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_CLIM", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_DEMO@DF_DEATH_5Y", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Deaths by by 5-year age groups - Regions"}, {"@xml:lang": "fr", "#text": "D\u00e9c\u00e8s par tranche d'\u00e2ge de 5 ans - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides regional satistics on deaths and mortality rates, in large regions (TL2) and small regions (TL3).
\nData definition and source
\nData 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques régionales sur les décès et les taux de mortalité, dans les grandes régions (TL2) et les petites régions (TL3).
\nDéfinition des données et source
\nLes données sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nL'OCDE classifie les régions (unités subnationales) à deux niveaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données sur les petites régions
\nLorsque les données démographiques sont analysées conjointement avec des données économiques au niveau TL3, il est conseillé d'agrégérer les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales, avec des indicateurs agrégés au niveau national selon la typologie territoriale d'accès aux Villes (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis 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 ‘Developer API query builder’, click on the ‘Developer API’ button above.
\nThe 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.
To get started check the API documentation
Indicators covered
\nThis 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.
\nData definition and sources
\nPopulation data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and Türkiye. 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.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit l'ensemble des donn\u00e9es d\u00e9mographiques r\u00e9gionales de l'OCDE et est recommand\u00e9 pour les utilisateurs qui souhaitent interroger une grande quantit\u00e9 de donn\u00e9es. Il n'est pas con\u00e7u pour visualiser les r\u00e9sultats en utilisant les boutons Tableau et Graphique. Pour acc\u00e9der au ‘G\u00e9n\u00e9rateur de requ\u00eates API pour d\u00e9veloppeur’, cliquez sur le bouton ‘API pour d\u00e9veloppeur’ ci-dessus.
\nL'interface de programmation d'application (API), bas\u00e9e sur la norme SDMX, permet \u00e0 un d\u00e9veloppeur d'acc\u00e9der aux donn\u00e9es en utilisant des options d'en-t\u00eate URL et HTTP RESTful simples pour divers choix de formats de r\u00e9ponse, y compris JSON. Le filtre de requ\u00eate est g\u00e9n\u00e9r\u00e9 en fonction de la s\u00e9lection de donn\u00e9es actuelle. Pour modifier la s\u00e9lection de donn\u00e9es, utilisez les filtres \u00e0 gauche.
Pour commencer, consultez la documentation API
Indicateurs couverts
\nCe jeu de donn\u00e9es fournit toutes les donn\u00e9es sur la d\u00e9mographie r\u00e9gionale : population et d\u00e9c\u00e8s par groupes d'\u00e2ge de 5 ans et groupes d'\u00e2ge agr\u00e9g\u00e9s, taux de d\u00e9pendance, taux de mortalit\u00e9, taux de f\u00e9condit\u00e9, mobilit\u00e9 de la population au sein et entre les pays.
\nD\u00e9finition des donn\u00e9es et sources
\nLes donn\u00e9es de population se r\u00e9f\u00e8rent \u00e0 la population r\u00e9sidente habituelle au 1er janvier pour les pays de l'UE, l'Islande, Isra\u00ebl, la Norv\u00e8ge, la Suisse et la Turquie. Estimations de la population en milieu d'ann\u00e9e pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Cor\u00e9e, le Mexique, la Nouvelle-Z\u00e9lande, le Royaume-Uni et les \u00c9tats-Unis. 1er octobre pour le Japon. Les donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_dem) pour les pays de l'UE et des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (GTIT) pour les pays non membres de l'UE de l'OCDE.
\nR\u00e9gions et niveaux territoriaux
\nLes r\u00e9gions sont des unit\u00e9s infranationales situ\u00e9es en dessous des fronti\u00e8res nationales et correspondent \u00e0 des divisions administratives d\u00e9finies de mani\u00e8re autonome par les pays selon diff\u00e9rents crit\u00e8res. L'OCDE classe les r\u00e9gions en deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Cette classification facilite une plus grande comparabilit\u00e9 des unit\u00e9s g\u00e9ographiques au m\u00eame niveau territorial.
\nLa liste et les cartes des r\u00e9gions sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des R\u00e9gions et Villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nLes statistiques infranationales peuvent \u00eatre explor\u00e9es davantage avec :
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_DEMO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_DEMO@DF_DENSITY", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Population density - Regions"}, {"@xml:lang": "fr", "#text": "Densit\u00e9 de population - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides regional data on population density and land areas, for large regions (TL2) and small regions (TL3).
\nData definition and source
\nPopulation 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des donn\u00e9es r\u00e9gionales sur la densit\u00e9 de population et les superficies, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3).
\nD\u00e9finition des donn\u00e9es et source
\nLa densit\u00e9 de population par superficie exclut les \u00e9tendues d'eau int\u00e9rieures. Cet indicateur mesure le nombre de personnes r\u00e9sidant dans les petites r\u00e9gions TL3 et les grandes r\u00e9gions TL2 par kilom\u00e8tre carr\u00e9. Les donn\u00e9es sur la population et les superficies sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_dem) pour les pays de l'UE, et compl\u00e9t\u00e9es par des donn\u00e9es recueillies par les d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et \u00e0 partir des sites Web des instituts nationaux de statistique.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des donn\u00e9es sur les petites r\u00e9gions (TL3)
\nLorsque les donn\u00e9es d\u00e9mographiques sont analys\u00e9es en conjonction avec des donn\u00e9es \u00e9conomiques au niveau TL3, il est conseill\u00e9 d'agr\u00e9gater les donn\u00e9es au niveau de la r\u00e9gion m\u00e9tropolitaine lorsque plusieurs r\u00e9gions TL3 sont associ\u00e9es \u00e0 la m\u00eame r\u00e9gion m\u00e9tropolitaine. Les r\u00e9gions m\u00e9tropolitaines regroupent les r\u00e9gions TL3 lorsque 50 % ou plus de la population r\u00e9gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr\u00e9\u00e9es par les d\u00e9placements domicile-travail, voir la liste des r\u00e9gions m\u00e9tropolitaines de l'OCDE (xlsx) et la m\u00e9thodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites r\u00e9gions (TL3) sont cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales. Consultez les indicateurs d\u00e9mographiques agr\u00e9g\u00e9s au niveau national selon la typologie territoriale d'acc\u00e8s de la population aux aires urbaines fonctionnelles (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact : RegionStat@oecd.org
\""}], "structure:Structure": {"Ref": {"@id": "DSD_REG_DEMO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_DEMO@DF_DEPEND", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,AGE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Dependency rates - Regions"}, {"@xml:lang": "fr", "#text": "Taux de d\u00e9pendance - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides regional data on dependency rates, for large regions (TL2) and small regions (TL3).
\nData definition and source
\nThe 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des données régionales sur les taux de dépendance, pour les grandes régions (TL2) et les petites régions (TL3).
\nDéfinition des données et source
\nLe ratio de dépendance est un indicateur démographique qui mesure le rapport entre les personnes dépendantes (généralement définies comme celles trop jeunes ou trop âgées pour travailler) et la population en âge de travailler. Les tranches d'âge les plus couramment utilisées pour la population en âge de travailler sont de 20 à 64 ans et de 15 à 64 ans. Les données de population sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE, et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données sur les petites régions
\nLorsque les données démographiques sont analysées conjointement avec des données économiques en utilisant le niveau TL3, il est conseillé d'agrégérer les données au niveau de la région métropolitaine. Voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites régions (TL3) sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés au niveau national selon la typologie territoriale d'accès de la population aux aires urbaines fonctionnelles (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_DEMO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_DEMO@DF_FERTILITY", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE,SEX,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Fertility - Regions"}, {"@xml:lang": "fr", "#text": "F\u00e9condit\u00e9 - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides regional statistics on births and fertility, in large regions (TL2) and small regions (TL3).
\nData definition and source
\nData 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques régionales sur les naissances et la fécondité, dans les grandes régions (TL2) et les petites régions (TL3).
\nDéfinition des données et source
\nLes données sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées dans les frontières nationales. L'OCDE classifie les régions à deux niveaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nTypologies territoriales
\nLes petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales, avec des indicateurs agrégés au niveau national selon la typologie territoriale d'accès aux Villes (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis dataset provides regional data on on life expectancy at birth, for large regions (TL2) and small regions (TL3) when available.
\nData definition and source
\nLife 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des données régionales sur l'espérance de vie à la naissance, pour les grandes régions (TL2) et les petites régions (TL3) lorsque disponibles.
\nDéfinition des données et source
\nL'espérance de vie à la naissance est définie comme la durée moyenne qu'un nouveau-né peut s'attendre à vivre, si les taux de mortalité actuels ne changent pas. Cependant, le taux de mortalité spécifique à chaque cohorte de naissance ne peut pas être connu à l'avance. Si les taux baissent (ou augmentent), l'espérance de vie réelle sera plus élevée (ou plus basse) que l'espérance de vie calculée sur la base des taux de mortalité actuels. Les données sur l'espérance de vie sont collectées auprès d'Eurostat (reg_dem) pour les grandes régions (TL2) des pays de l'UE, et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nTypologies territoriales
\nLes petites r\u00e9gions (TL3) sont cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales. Consultez les indicateurs d\u00e9mographiques agr\u00e9g\u00e9s au niveau national selon la typologie territoriale d'acc\u00e8s de la population aux aires urbaines fonctionnelles (lien) et selon la typologie urbaine-rurale (lien).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats.
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_DEMO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_DEMO@DF_MIGR_FLOW", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "International migration flows - Regions"}, {"@xml:lang": "fr", "#text": "Flux de migration internationale - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "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).
\nData source
\nData is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de données fournit des statistiques sur les migrations internationales de la population, en provenance ou à destination des grandes régions (TL2) et des petites régions (TL3).
\nSource des données
\nLes données sont collectées par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et complétées à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées dans les frontières nationales. L'OCDE classifie les régions à deux niveaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données sur les petites régions
\nLorsque les données démographiques sont analysées conjointement avec des données économiques au niveau TL3, il est conseillé d'agrégérer les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales, avec des indicateurs agrégés au niveau national selon la typologie territoriale d'accès de la population aux aires urbaines fonctionnelles (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis dataset provides regional mobility statistics of population within the same country, from or to subnational regions, for large regions (TL2) and small regions (TL3).
\nData source
\nData is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques régionales sur la mobilité de la population à l'intérieur du même pays, depuis ou vers des régions subnationales, pour les grandes régions (TL2) et les petites régions (TL3).
\nSource des données
\nLes données sont collectées par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et complétées à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées dans les frontières nationales. L'OCDE classifie les régions à deux niveaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données sur les petites régions
\nLorsque les données démographiques sont analysées conjointement avec des données économiques au niveau TL3, il est conseillé d'agrégérer les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales, avec des indicateurs agrégés au niveau national selon la typologie territoriale d'accès aux Villes (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis dataset provides regional population counts by sex and 5-year age groups, for large regions (TL2) and small regions (TL3).
\nData definition and source
\nPopulation data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and Türkiye. 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des dénombrements de la population par sexe et par tranches d'âge quinquennales, pour les grandes régions (TL2) et les petites régions (TL3).
\nDéfinition des données et sources
\nLes données de population se rapportent à la population résidente habituelle au 1er janvier pour les pays de l'UE, l'Islande, Israël, la Norvège, la Suisse et la Turquie. Les estimations de la population à mi-année pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Corée, le Mexique, la Nouvelle-Zélande, le Royaume-Uni et les États-Unis. Au 1er octobre pour le Japon. Les données sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE et auprès des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) pour les pays de l'OCDE hors UE.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées dans les frontières nationales. L'OCDE classifie les régions à deux niveaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données sur les petites régions
\nLorsque les données démographiques sont analysées conjointement avec des données économiques au niveau TL3, il est conseillé d'agrégérer les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales, avec des indicateurs agrégés au niveau national selon la typologie territoriale d'accès aux Villes (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis dataset provides regional population counts by broad age groups (0-14,15-64, 65 and older), for large regions (TL2) and small regions (TL3).
\nData definition and source
\nPopulation data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and Türkiye. 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
Cite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des données régionales sur le nombre de la population par groupes d'âge larges (0-14, 15-64, 65 ans et plus), pour les grandes régions (TL2) et les petites régions (TL3).
\nDéfinition des données et source
\nLes données de population se rapportent à la population résidente habituelle au 1er janvier, sauf pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Corée, le Mexique, la Nouvelle-Zélande, le Royaume-Uni et les États-Unis (mi-année), et le Japon (1er octobre). Les données sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées dans les frontières nationales. L'OCDE classifie les régions à deux niveaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données sur les petites régions
\nLorsque les données démographiques sont analysées conjointement avec des données économiques au niveau TL3, il est conseillé d'agrégérer les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nTypologies territoriales
\nLes petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales, avec des indicateurs agrégés au niveau national selon la typologie territoriale d'accès aux Villes (lien) et selon la typologie urbaine-rurale (lien).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis data set provides demographic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.
\nData source and definition
\nThe 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.
\nThe 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.
\nTerritorial typology on population's access to cities
\nTerritorial 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. The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria:
\nList of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des indicateurs démographiques agrégés au niveau national et détaillés par typologie territoriale selon l'accès \u00e0 la ville.
\nSource des données et définition
\nLes données démographiques par typologie comprennent la part de la population, les taux de dépendance, les taux de fécondité et de mortalité, la mobilité de la population à l'intérieur et à l'extérieur des pays. Les données des petites régions TL3 sont agrégées au niveau national selon la typologie d'accès de la population aux aires urbaines fonctionnelles
\nTypologie territoriale selon l'accès de la population aux aires urbaines fonctionnelles
\nLes typologies territoriales aident à évaluer les différences dans les tendances socio-économiques dans les régions, à la fois au sein et entre les pays, et à mettre en évidence les problèmes spécifiques rencontrés par chaque type de région.
\nLa typologie territoriale de l'OCDE sur l'accès aux zones urbaines fonctionnelles utilise le concept de aires urbaines fonctionnelles et classe les petites régions (TL3) (Fadic et al., 2019) selon les critères suivants :
\nLa liste des régions de l'OCDE et les typologies sont présentées dans le tableau de correspondance territoriale de l'OCDE (xlsx). Les cartes des régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nThis dataset provides demographic indicators aggregated at national level and broken down by regional urban-rural typology.
\nData source and definition
\nThe 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.
\nThe 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.
\nTerritorial typology based on urban-rural population
\nTerritorial 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. 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 (pdf). This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.
\nList of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des indicateurs démographiques agrégés au niveau national et détaillés par typologie territoriale urbaine-rurale.
\nSource des données et définition
\nLes données par typologie comprennent la part de la population, les taux de dépendance, les taux de fécondité et de mortalité, la mobilité de la population à l'intérieur et à l'extérieur des pays. Les données sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.
\nLes indicateurs sont des données agrégées au sein d'un pays en fonction de la typologie des petites régions (TL3) pour calculer un total ou une moyenne pour l'ensemble des régions principalement rurales, des régions intermédiaires ou des régions principalement urbaines.
\nTypologie territoriale basée sur la population urbaine-rurale
\nLes typologies territoriales aident à évaluer les différences dans les tendances socio-économiques dans les régions, à la fois au sein et entre les pays, et à mettre en évidence les problèmes spécifiques rencontrés par chaque type de région.
\nTraditionnellement, l'OCDE a classé les petites régions (TL3) comme des régions principalement urbaines, intermédiaires ou principalement rurales. Les régions principalement rurales peuvent être subdivisées en 'Proches de la ville' et 'Éloignées', voir la méthodologie (pdf). Cette typologie reste d'intérêt pour les utilisateurs, bien que la typologie territoriale selon l'Acc\u00e8s a la Ville soit désormais préférée par les analystes territoriaux de l'OCDE.
\nLa liste des régions de l'OCDE et les typologies sont présentées dans le tableau de correspondance territoriale de l'OCDE (xlsx). Les cartes des régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf).
\nCiter ce jeu de données
\nBases de données sur les régions et les villes de l'OCDE http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_DEMO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_ECO", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Economic statistics - Regions (for 'Developer API')"}, {"@xml:lang": "fr", "#text": "Statistiques \u00e9conomiques - R\u00e9gions (pour 'd\u00e9velopeurs API')"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on gross domestic product and gross domestic product per capita, by region.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_EMP", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment by main economic activity - Regions"}, {"@xml:lang": "fr", "#text": "Emploi selon l'activit\u00e9 \u00e9conomique - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on employment by 10 broad activities and labour utlisation, for large regions (TL2) and small regions (TL3).
\nData source and definition
\nEmployment 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur l'emploi par 10 grandes activit\u00e9s et l'utilisation de la main-d'\u0153uvre, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3).
\nSource de donn\u00e9es et d\u00e9finition
\nLes donn\u00e9es sur l'emploi sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_eco10) pour les pays de l'UE et compl\u00e9t\u00e9es par des donn\u00e9es recueillies par les d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et aupr\u00e8s des sites Web des offices statistiques nationaux. L'emploi est mesur\u00e9 sur le lieu de travail. L'utilisation de la main-d'\u0153uvre est mesur\u00e9e par le nombre d'emplois sur le lieu de travail par habitant, pour l'activit\u00e9 totale.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des donn\u00e9es \u00e9conomiques sur les petites r\u00e9gions (TL3)
\nLorsque des analyses \u00e9conomiques sont effectu\u00e9es au niveau TL3, il est conseill\u00e9 d'agr\u00e9gater les donn\u00e9es au niveau de la r\u00e9gion m\u00e9tropolitaine lorsque plusieurs r\u00e9gions TL3 sont associ\u00e9es \u00e0 la m\u00eame r\u00e9gion m\u00e9tropolitaine. Les r\u00e9gions m\u00e9tropolitaines regroupent les r\u00e9gions TL3 lorsque 50 % ou plus de la population r\u00e9gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr\u00e9\u00e9es par les d\u00e9placements domicile-travail, voir la liste des r\u00e9gions m\u00e9tropolitaines de l'OCDE (xlsx) et la m\u00e9thodologie de l'UE (lien).
\nLes petites r\u00e9gions sont \u00e9galement cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales agr\u00e9g\u00e9es au niveau du pays. Consultez les ensembles de donn\u00e9es \u00e9conomiques par typologie territoriale sur l'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie rurale/urbaine (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es de l'OCDE sur les r\u00e9gions et les villes http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_GDP", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross domestic product - Regions"}, {"@xml:lang": "fr", "#text": "Produit int\u00e9rieur brut - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).
\nData source and definition
\nRegional 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 (link). Regional GDP per capita is calculated by dividing the regional GDP by the average annual population of the region.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques sur le produit intérieur brut (PIB) et le PIB par habitant pour les grandes régions (TL2) et les petites régions (TL3).
\nSource de données et définition
\nLes données sur le produit intérieur brut régional sont collectées à des niveaux, à des prix courants, en millions de monnaie nationale à partir d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.
\nAfin de permettre la comparabilité dans le temps et entre les pays, les données à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat (lien). Le PIB par habitant régional est calculé en divisant le PIB régional par la population annuelle moyenne de la région.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données économiques sur les petites régions (TL3)
\nLorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50% ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la méthodologie de l'UE appliquée aux régions TL3 de l'OCDE (lien).
\nCiter ce jeu de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_GVA", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross value added by main economic activity - Regions"}, {"@xml:lang": "fr", "#text": "Valeur ajout\u00e9e par activit\u00e9 \u00e9conomique - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on gross value added by broad 10 activities, for large regions (TL2) and small regions (TL3).
\nData source and definition
\nRegional 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 (link).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur la valeur ajout\u00e9e brute par 10 grandes activit\u00e9s, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3).
\nSource de donn\u00e9es et d\u00e9finition
\nLes donn\u00e9es sur la valeur ajout\u00e9e brute r\u00e9gionale sont collect\u00e9es \u00e0 des niveaux, \u00e0 des prix courants, en millions de monnaie nationale \u00e0 partir d'Eurostat (reg_eco10) pour les pays de l'Union europ\u00e9enne, et compl\u00e9t\u00e9es par des donn\u00e9es recueillies par des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilit\u00e9 dans le temps et entre les pays, les donn\u00e9es \u00e0 prix courants sont transform\u00e9es en prix constants et en mesures de parit\u00e9 de pouvoir d'achat (lien).
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des donn\u00e9es \u00e9conomiques sur les petites r\u00e9gions (TL3)
\nLorsque des analyses \u00e9conomiques sont effectu\u00e9es au niveau TL3, il est conseill\u00e9 d'agr\u00e9gater les donn\u00e9es au niveau de la r\u00e9gion m\u00e9tropolitaine lorsque plusieurs r\u00e9gions TL3 sont associ\u00e9es \u00e0 la m\u00eame r\u00e9gion m\u00e9tropolitaine. Les r\u00e9gions m\u00e9tropolitaines regroupent les r\u00e9gions TL3 lorsque 50 % ou plus de la population r\u00e9gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr\u00e9\u00e9es par les d\u00e9placements domicile-travail, voir la liste des r\u00e9gions m\u00e9tropolitaines de l'OCDE (xlsx) et la m\u00e9thodologie de l'UE (lien).
\nLes petites r\u00e9gions sont \u00e9galement cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales agr\u00e9g\u00e9es au niveau du pays. Consultez les ensembles de donn\u00e9es \u00e9conomiques par typologie territoriale sur l'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie rurale/urbaine (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es de l'OCDE sur les r\u00e9gions et les villes http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_INC", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Income - Regions"}, {"@xml:lang": "fr", "#text": "Revenu - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on disposable income and primary income, for large regions (TL2) and small regions (TL3) when available.
\nData source and definition
\nIncome 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 (link). 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques sur le revenu disponible et le revenu primaire, pour les grandes régions (TL2) et les petites régions (TL3) lorsque disponibles.
\nSource de données et définition
\nLe revenu est mesuré ici du point de vue macro-économique produit par les comptes régionaux. Les données sur le revenu sont collectées auprès d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilité dans le temps et entre les pays, les données de revenu à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat. Pour la série de revenus, le déflateur retenu est l'« indice implicite des prix nationaux de la consommation finale des ménages », qui est le déflateur utilisé dans le SNA pour la transaction P31S14.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données économiques sur les petites régions (TL3)
\nLorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'aggréger les données lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE (xlsx) et la méthodologie de l'UE (lien).
\nLes petites régions sont également catégorisées selon des typologies territoriale agrégées au niveau du pays: par typologie territoriale sur l'accès aux zones urbaines fonctionnelles (lien) et par typologie rurale/urbaine (lien).
\nCiter ce jeu de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_LPR", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour productivity by main economic activity - Regions"}, {"@xml:lang": "fr", "#text": "Productivit\u00e9 du travail par activit\u00e9 \u00e9conomique - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on labour productivity, for large regions (TL2) and small regions (TL3).
\nData source and definition
\nLabour 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 (link).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur la productivit\u00e9 du travail, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3).
\nSource de donn\u00e9es et d\u00e9finition
\nLa productivit\u00e9 du travail est mesur\u00e9e comme la valeur ajout\u00e9e brute par emploi sur le lieu de travail par grande activit\u00e9 \u00e9conomique. Les donn\u00e9es r\u00e9gionales sur la valeur ajout\u00e9e brute et l'emploi sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_eco10) pour les pays de l'Union europ\u00e9enne, et compl\u00e9t\u00e9es par des donn\u00e9es recueillies par des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilit\u00e9 dans le temps et entre les pays, les donn\u00e9es de productivit\u00e9 du travail \u00e0 prix courants sont transform\u00e9es en prix constants et en mesures de parit\u00e9 de pouvoir d'achat (lien).
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des donn\u00e9es \u00e9conomiques sur les petites r\u00e9gions (TL3)
\nLorsque des analyses \u00e9conomiques sont effectu\u00e9es au niveau TL3, il est conseill\u00e9 d'agr\u00e9gater les donn\u00e9es au niveau de la r\u00e9gion m\u00e9tropolitaine lorsque plusieurs r\u00e9gions TL3 sont associ\u00e9es \u00e0 la m\u00eame r\u00e9gion m\u00e9tropolitaine. Les r\u00e9gions m\u00e9tropolitaines regroupent les r\u00e9gions TL3 lorsque 50 % ou plus de la population r\u00e9gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr\u00e9\u00e9es par les d\u00e9placements domicile-travail, voir la liste des r\u00e9gions m\u00e9tropolitaines de l'OCDE (xlsx) et la m\u00e9thodologie de l'UE (lien).
\nLes petites r\u00e9gions sont \u00e9galement cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales agr\u00e9g\u00e9es au niveau du pays. Consultez les ensembles de donn\u00e9es \u00e9conomiques par typologie territoriale sur l'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie rurale/urbaine (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es de l'OCDE sur les r\u00e9gions et les villes http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_TRAD", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "International trade - Regions"}, {"@xml:lang": "fr", "#text": "Commerce international - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on international trade in goods, for large regions (TL2) and small regions (TL3).
\nData source and definition
\nRegional 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 (link) and expressed a share of the regional gross domestic product.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur le commerce international de biens, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3).
\nSource de donn\u00e9es et d\u00e9finition
\nLes donn\u00e9es r\u00e9gionales sur le commerce international de biens sont collect\u00e9es par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilit\u00e9 dans le temps et entre les pays, les donn\u00e9es commerciales \u00e0 prix courants sont transform\u00e9es en prix constants et en mesures de parit\u00e9 de pouvoir d'achat (lien) et exprim\u00e9es en pourcentage du produit int\u00e9rieur brut r\u00e9gional.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des donn\u00e9es \u00e9conomiques sur les petites r\u00e9gions (TL3)
\nLorsque des analyses \u00e9conomiques sont effectu\u00e9es au niveau TL3, il est conseill\u00e9 d'agr\u00e9gater les donn\u00e9es au niveau de la r\u00e9gion m\u00e9tropolitaine lorsque plusieurs r\u00e9gions TL3 sont associ\u00e9es \u00e0 la m\u00eame r\u00e9gion m\u00e9tropolitaine. Les r\u00e9gions m\u00e9tropolitaines regroupent les r\u00e9gions TL3 lorsque 50 % ou plus de la population r\u00e9gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr\u00e9\u00e9es par les d\u00e9placements domicile-travail, voir la liste des r\u00e9gions m\u00e9tropolitaines de l'OCDE (xlsx) et la m\u00e9thodologie de l'UE (lien).
\nLes petites r\u00e9gions sont \u00e9galement cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales agr\u00e9g\u00e9es au niveau du pays. Consultez les ensembles de donn\u00e9es \u00e9conomiques par typologie territoriale sur l'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie rurale/urbaine (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es de l'OCDE sur les r\u00e9gions et les villes http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_TYPE_METRO", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TERRITORIAL_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "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", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Economic indicators by access to city typology"}, {"@xml:lang": "fr", "#text": "Indicateurs \u00e9conomiques par typologie d'acc\u00e8s \u00e0 la ville"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides economic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.
\nData source and definition
\nThe 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.
\nThe 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.
\nTerritorial typology on the population's access to cities
\nTerritorial 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.
\nThe OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria:
\nList of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de données fournit des indicateurs économiques par typologie territoriale selon l'accès \u00e0 la ville. Les indicateurs comprennent le PIB, le PIB par habitant, la valeur ajoutée brute, l'emploi sur le lieu de travail et la productivité du travail.
\nSource des données et définition
\nLes données sont collectées auprès d'Eurostat (reg_eco10) pour les pays de l'UE, et complétées par des données collectées par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des offices statistiques nationaux. Les indicateurs sont des données agrégées basées sur la typologie des petites régions (TL3) pour calculer un total ou une moyenne par type de territoire.
\nTypologie territoriale selon l'accès aux aires urbaines fonctionnelles
\nLa typologie territoriale de l'OCDE sur l'accès aux villes utilise le concept des aires urbaines fonctionnelles (FUA) et classe les petites régions (TL3) en régions métropolitaines et non métropolitaines (Fadic et al., 2019) selon les critères suivants :
\nLes régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le table de correspondance territoriale de l'OCDE (xlsx).
\nCiter cet ensemble de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO@DF_TYPE_RURB", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TERRITORIAL_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "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", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Economic indicators by urban-rural territorial typology"}, {"@xml:lang": "fr", "#text": "Indicateurs \u00e9conomiques par typologie urbaine-rurale"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides economic indicators aggregated at national level and broken down by urban-rural territorial typology.
\nData source and definition
\nThe 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.
\nThe 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.
\nTerritorial typology based on urban-rural population
\nTerritorial 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.
\nTraditionally 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 (pdf). This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.
\nList of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de données fournit des indicateurs économiques selon la typologie territoriale rurale/urbaine. Les indicateurs comprennent le PIB, le PIB par habitant, la valeur ajoutée brute, l'emploi sur le lieu de travail et la productivité du travail par type de territoire.
\nSource des données et définition
\nLes données sont collectées auprès d'Eurostat (reg_eco10) pour les pays de l'UE, et complétées par des données collectées par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des offices statistiques nationaux.
\nLes indicateurs sont des données agrégées au niveau d'un pays, basées sur la typologie des petites régions (TL3), afin de calculer un total ou une moyenne pour toutes les régions principalement rurales, les régions intermédiaires ou les régions principalement urbaines au sein d'un pays.
\nTypologie territoriale basée sur la population urbaine-rurale
\nLes typologies territoriales aident à évaluer les différences dans les tendances socio-économiques dans les régions, à la fois au sein et entre les pays, et à mettre en évidence les problèmes spécifiques rencontrés par chaque type de région.
\nTraditionnellement, l'OCDE a classé les petites régions (TL3) en régions principalement urbaines, intermédiaires ou principalement rurales. Les régions principalement rurales peuvent être décomposées davantage en 'Proches de la ville' et 'Éloignées', voir la méthodologie (pdf). Cette typologie reste d'intérêt pour les utilisateurs, bien que la typologie territoriale selon l'Acc\u00e8s a la Ville soit maintenant préférée par les analystes de l'OCDE.
\nLa liste des régions de l'OCDE et les typologies sont présentées dans le tableau de correspondance territoriale de l'OCDE (xlsx). Les cartes des régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf).
\nCiter cet ensemble de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO_ROPI@DF_ECO_ROPI", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API')"}, {"@xml:lang": "fr", "#text": "Statistiques \u00e9conomiques corrig\u00e9es de l'inflation avec d\u00e9flateurs r\u00e9gionaux, ROPI - R\u00e9gions (pour 'Developer API')"}], "common:Description": [{"@xml:lang": "en", "#text": "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 ‘Developer API query builder’, click on the ‘Developer API’ button above.
\nTo get started check the API documentation
\nDataflows covered
\nSee method and detailed data sources in Regions and Cities at a Glance 2024, Annex.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nUse of economic data on small regions
\nWhen 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:(xlsx).
\nSmall 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 (link).
\nCite this dataset
\nOECD Regions, cities and local areas database (Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API'), http://oe.cd/geostats.
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides economic statistics in constant prices in regions - using regional output producer index (ROPI) when available - is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.
\nTo get started check the API documentation
\nIndicators covered
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Society statistics - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ECO_ROPI", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ECO_ROPI@DF_GDP_ROPI", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Real gross domestic product (ROPI-adjusted for inflation) - Regions"}, {"@xml:lang": "fr", "#text": "Produit int\u00e9rieur brut r\u00e9el (corrig\u00e9 de l'inflation avec d\u00e9flateurs r\u00e9gionaux, ROPI) - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
\nData source and definition
\nRegional 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.
\nTo 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.
\nSee method and detailed data sources in Regions and Cities at a Glance 2024, Annex.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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:(xlsx).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques sur le produit intérieur brut (PIB) réel et le PIB par habitant réel pour les grandes régions (TL2) et les petites régions (TL3). Les valeurs réelles sont ajustées de la déflation en utilisant l'indice des prix de production régionaux (ROPI) lorsque ces series sont disponibles.
\nSource de données et définition
\nLes données sur le produit intérieur brut régional sont collectées à des niveaux, à des prix courants, en millions de monnaie nationale à partir d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.
\nAfin de permettre la comparabilité dans le temps et entre les pays, les données à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat (lien). Le PIB par habitant régional est calculé en divisant le PIB régional par la population annuelle moyenne de la région.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données économiques sur les petites régions (TL3)
\nLorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50% ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la méthodologie de l'UE appliquée aux régions TL3 de l'OCDE (lien).
\nCiter ce jeu de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nThis 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.
\nData source and definition
\nRegional 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.
\nSee method and detailed data sources in Regions and Cities at a Glance 2024, Annex.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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:(xlsx).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques sur la valeur ajoutée brute réelle par 10 grandes activités pour les grandes régions (TL2) et les petites régions (TL3). Les valeurs réelles sont ajustées de la déflation en utilisant l'indice des prix de production régionaux (ROPI) lorsque ces series sont disponibles.
\nSource de données et définition
\nLes données sur la valeur ajoutée brute régionale sont collectées à prix courants, en millions de monnaie nationale à partir d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.
\nAfin de permettre la comparabilité dans le temps et entre les pays, les données à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données économiques sur les petites régions (TL3)
\nLorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50% ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la méthodologie de l'UE appliquée aux régions TL3 de l'OCDE (lien).
\nCiter ce jeu de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nThis 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.
\nData source and definition
\nLabour 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.
\nSee method and detailed data sources in Regions and Cities at a Glance 2024, Annex.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of economic data on small regions
\nWhen 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:(xlsx).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques sur la productivité du travail, pour les grandes régions (TL2) et les petites régions (TL3). Les valeurs réelles sont ajustées de la déflation en utilisant l'indice des prix de production régionaux (ROPI) lorsque ces series sont disponibles.
\nSource de données et définition
\nLa productivité du travail est mesurée comme la valeur ajoutée brute par emploi sur le lieu de travail par grande activité économique. Les données régionales sur la valeur ajoutée brute et l'emploi sont collectées auprès d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.
\nAfin de permettre la comparabilité dans le temps et entre les pays, les données à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat.
\nDéfinition des régions
\nLes régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des données économiques sur les petites régions (TL3)
\nLorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50% ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la méthodologie de l'UE appliquée aux régions TL3 de l'OCDE (lien).
\nCiter ce jeu de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nThis dataset provides statistics on educational attainement in large regions (TL2).
\nData definition and source
\nEducational 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 ISCED 2011 classification used to define the levels of education: ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).
\nData 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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur le niveau d'\u00e9ducation dans de grandes r\u00e9gions (TL2).
\nD\u00e9finition des donn\u00e9es et source
\nLe niveau d'\u00e9ducation est d\u00e9fini comme le plus haut niveau scolaire atteint dans le syst\u00e8me \u00e9ducatif du pays o\u00f9 l'\u00e9ducation a \u00e9t\u00e9 re\u00e7ue. Les niveaux d'\u00e9ducation sont normalis\u00e9s \u00e0 l'\u00e9chelle internationale par la classification CITE 2011 utilis\u00e9e pour d\u00e9finir les niveaux d'\u00e9ducation : CITE 0-2 (\u00e9l\u00e9mentaire), 3-4 (secondaire), 5-8 (tertiaire).
\nLes donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_educ) pour les pays de l'UE, et par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du syst\u00e8me \u00e9ducatif (INES).
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_EDU", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_EDU@DF_EDU", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,CL_AGGREGATION_OPERATION=MEAN", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Education statistics - Regions (for 'Developer API')"}, {"@xml:lang": "fr", "#text": "Statistiques sur l'\u00e9ducation - R\u00e9gions (pour 'Developer API')"}], "common:Description": [{"@xml:lang": "en", "#text": "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 ‘Developer API query builder’, click on the ‘Developer API’ button above.
\nThe 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.
To get started check the API documentation
Indicators covered
\nThis 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.
\nThe list and maps of regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit l'ensemble des donn\u00e9es r\u00e9gionales de l'OCDE sur l'\u00e9ducation et est recommand\u00e9 pour les utilisateurs souhaitant interroger une grande quantit\u00e9 de donn\u00e9es. Il n'est pas con\u00e7u pour visualiser les r\u00e9sultats \u00e0 l'aide des boutons Table et Graphique. Pour acc\u00e9der au ‘G\u00e9n\u00e9rateur de requ\u00eates API d\u00e9veloppeur’, cliquez sur le bouton ‘API d\u00e9veloppeur’ ci-dessus.
\nL'interface de programmation d'application (API), bas\u00e9e sur la norme SDMX, permet \u00e0 un d\u00e9veloppeur d'acc\u00e9der aux donn\u00e9es en utilisant une simple URL RESTful et des options d'en-t\u00eate HTTP pour divers formats de r\u00e9ponse, y compris JSON. Le filtre de requ\u00eate est g\u00e9n\u00e9r\u00e9 en fonction de la s\u00e9lection de donn\u00e9es actuelle. Pour changer la s\u00e9lection de donn\u00e9es, utilisez les filtres sur la gauche.
Pour commencer, consultez la documentation de l'API
Indicateurs couverts
\nCe jeu de donn\u00e9es fournit des statistiques sur l'\u00e9ducation dans les r\u00e9gions, il inclut la population selon le niveau de formation, le taux d'emploi par niveau d'\u00e9ducation, les taux de scolarisation par \u00e2ge, la formation des adultes, les taux de NEET et d'abandon pr\u00e9coce.
\nLa liste et les cartes des r\u00e9gions sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nLes statistiques infranationales peuvent \u00eatre explor\u00e9es davantage avec :
\nPour toute question ou tout commentaire, veuillez \u00e9crire \u00e0 RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_EDU", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_EDU@DF_EMP", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,EDUCATION_LEV,SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;UNIT_MEASURE:Unit\u00e9 de mesure;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment by level of education - Regions"}, {"@xml:lang": "fr", "#text": "Emploi par niveau d'\u00e9ducation - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on employment rates by level of education in large regions (TL2).
\nData definition and source
\nEmployment 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 ISCED-2011 classification: ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).
\nData 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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur les taux d'emploi selon le niveau d'\u00e9ducation dans de grandes r\u00e9gions (TL2).
\nD\u00e9finition des donn\u00e9es et source
\nLe taux d'emploi est mesur\u00e9 par le nombre de personnes employ\u00e9es \u00e2g\u00e9es de 25 \u00e0 64 ans et de 25 \u00e0 34 ans par rapport \u00e0 la population de chaque tranche d'\u00e2ge, ventil\u00e9 par niveau d'\u00e9ducation. Le niveau d'\u00e9ducation est d\u00e9fini comme le plus haut niveau scolaire atteint dans le syst\u00e8me \u00e9ducatif du pays o\u00f9 l'\u00e9ducation a \u00e9t\u00e9 re\u00e7ue. Les niveaux d'\u00e9ducation sont normalis\u00e9s \u00e0 l'\u00e9chelle internationale avec la classification CITE-2011 : CITE 0-2 (\u00e9l\u00e9mentaire), 3-4 (secondaire), 5-8 (tertiaire).
Les donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_educ) pour les pays de l'UE, et par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du syst\u00e8me \u00e9ducatif (INES).
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_EDU", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_EDU@DF_ENROL", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,EDUCATION_LEV,SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;UNIT_MEASURE:Unit\u00e9 de mesure;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Students enrolment - Regions"}, {"@xml:lang": "fr", "#text": "Inscription des \u00e9tudiants - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on enrolment rates by age in large regions (TL2).
\nData definition and source
\nEnrolment 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 ISCED 2011 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 >40 year-olds.
\nData 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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur les taux d'inscription par \u00e2ge dans de grandes r\u00e9gions (TL2).
\nD\u00e9finition des donn\u00e9es et source
\nLes taux d'inscription sont d\u00e9finis comme la proportion d'individus de chaque tranche d'\u00e2ge inscrits dans tous types d'\u00e9coles et d'institutions \u00e9ducatives, y compris publiques, priv\u00e9es et toutes les autres institutions fournissant des programmes \u00e9ducatifs organis\u00e9s selon la classification CITE 2011, ind\u00e9pendamment du niveau d'\u00e9ducation suivi (part d'individus inscrits par rapport \u00e0 la population de la m\u00eame tranche d'\u00e2ge). Les tranches d'\u00e2ge sont d\u00e9finies comme 3-5, 6-14, 15-19, 20-29, 30-39 et >40 ans.
\nLes donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_educ) pour les pays de l'UE, et par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du syst\u00e8me \u00e9ducatif (INES).
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_EDU", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_EDU@DF_EXCLU", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,EDUCATION_LEV,SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;UNIT_MEASURE:Unit\u00e9 de mesure;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Youth exclusion from education - Regions"}, {"@xml:lang": "fr", "#text": "Exclusion des jeunes de l'\u00e9ducation - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on the exclusion of young people from education, NEETs and early leavers in large regions (TL2).
\nData definition and source
\nNEET 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.
\nData 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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur le niveau d'\u00e9ducation dans de grandes r\u00e9gions (TL2).
\nD\u00e9finition des donn\u00e9es et source
\nLe niveau d'\u00e9ducation est d\u00e9fini comme le plus haut niveau scolaire atteint dans le syst\u00e8me \u00e9ducatif du pays o\u00f9 l'\u00e9ducation a \u00e9t\u00e9 re\u00e7ue. Les niveaux d'\u00e9ducation sont normalis\u00e9s \u00e0 l'\u00e9chelle internationale par la classification CITE 2011 utilis\u00e9e pour d\u00e9finir les niveaux d'\u00e9ducation : CITE 0-2 (\u00e9l\u00e9mentaire), 3-4 (secondaire), 5-8 (tertiaire).
\nLes donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_educ) pour les pays de l'UE, et par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du syst\u00e8me \u00e9ducatif (INES).
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_EDU", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_EDU@DF_TRAINING", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTRY,REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,EDUCATION_LEV,SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;UNIT_MEASURE:Unit\u00e9 de mesure;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Adult training - Regions"}, {"@xml:lang": "fr", "#text": "Formation des adultes - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on adult training in large regions (TL2).
\nData definition and source
\nAdult 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)).
\nData 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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur le niveau d'\u00e9ducation dans de grandes r\u00e9gions (TL2).
\nD\u00e9finition des donn\u00e9es et source
\nLe niveau d'\u00e9ducation est d\u00e9fini comme le plus haut niveau scolaire atteint dans le syst\u00e8me \u00e9ducatif du pays o\u00f9 l'\u00e9ducation a \u00e9t\u00e9 re\u00e7ue. Les niveaux d'\u00e9ducation sont normalis\u00e9s \u00e0 l'\u00e9chelle internationale par la classification CITE 2011 utilis\u00e9e pour d\u00e9finir les niveaux d'\u00e9ducation : CITE 0-2 (\u00e9l\u00e9mentaire), 3-4 (secondaire), 5-8 (tertiaire).
\nLes donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_educ) pour les pays de l'UE, et par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du syst\u00e8me \u00e9ducatif (INES).
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations suppl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_EDU", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ENV@DF_AIR_POLLUT", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Exposure to air pollution - Regions"}, {"@xml:lang": "fr", "#text": "Pollution de l'air - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on air pollution in large (TL2) and small (TL3) regions.
\nData definition and source
\nAir 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 (pdf).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur la pollution de l'air dans les grandes (TL2) et petites (TL3) r\u00e9gions.
\nD\u00e9finition des donn\u00e9es et source
\nLa pollution de l'air est mesur\u00e9e par l'exposition annuelle moyenne de la population aux particules fines PM2.5. La source des donn\u00e9es est la base de donn\u00e9es de l'OCDE sur l'environnement, utilisant les estimations de concentration provenant de l'Institute for Health Metrics and Evaluation Global Burden of Disease (IHME-GBD, 2019). Consultez la m\u00e9thodologie (pdf).
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ENV", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ENV@DF_ELEC", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Electricity generation - Regions"}, {"@xml:lang": "fr", "#text": "Production d'\u00e9lectricit\u00e9 - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on electricity generation in large (TL2) and small (TL3) regions.
\nData definition and source
\nElectricity generation is estimated at the power plant level based on the relative capacity of each power plant from the Global Power Plant Database (GPPD) and on the total national electricity generation form each energy source from the International Energy Agency database on Electricity Information(IAE). See the methodology.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur la production d'\u00e9lectricit\u00e9 dans les grandes (TL2) et petites (TL3) r\u00e9gions.
\nD\u00e9finition des donn\u00e9es et source
\nLa production d'\u00e9lectricit\u00e9 est estim\u00e9e au niveau des centrales \u00e9lectriques en fonction de la capacit\u00e9 relative de chaque centrale \u00e9lectrique de la base de donn\u00e9es mondiale des centrales \u00e9lectriques (GPPD) et de la production totale d'\u00e9lectricit\u00e9 nationale \u00e0 partir de chaque source d'\u00e9nergie de la base de donn\u00e9es de l'Agence internationale de l'\u00e9nergie sur les informations relatives \u00e0 l'\u00e9lectricit\u00e9 (AIE). Consultez la m\u00e9thodologie.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ENV", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ENV@DF_ENV", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Environment statistics - Regions"}, {"@xml:lang": "fr", "#text": "Statistiques environementales - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides subnationaltional statistics on environment and climate, in small and large regions.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides subnationaltional statistics on environment and climate, in small and large regions.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ENV", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ENV@DF_GHG", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "MEASURE:Mesure;COMBINED_REF_AREA:Zone g\u00e9ographique combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Greenhouse gas emissions - Regions"}, {"@xml:lang": "fr", "#text": "\u00c9missions de gaz \u00e0 effet de serre - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on greenhouse gaz emissions (GHG) in large (TL2) and small (TL3) regions.
\nData definition and source
\nGHG are estimated by sector of origin at the subnational level are estimated using the Emissions Database for Global Atmospheric Research (EDGAR) (Joint Research Centre). See the methodology.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur les \u00e9missions de gaz \u00e0 effet de serre (GES) dans les grandes (TL2) et petites (TL3) r\u00e9gions.
\nD\u00e9finition des donn\u00e9es et source
\nLes GES sont estim\u00e9s par secteur d'origine au niveau subnational en utilisant la base de donn\u00e9es sur les \u00e9missions pour la recherche atmosph\u00e9rique mondiale (EDGAR) (Joint Research Centre). Consultez la m\u00e9thodologie.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ENV", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_ENV@DF_WASTE", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Waste treatment - Regions"}, {"@xml:lang": "fr", "#text": "Traitement des d\u00e9chets - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.
\nData definition and source
\nData is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur les d\u00e9chets municipaux et le traitement des eaux us\u00e9es dans les grandes (TL2) et petites (TL3) r\u00e9gions.
\nD\u00e9finition des donn\u00e9es et source
\nLes donn\u00e9es sont collect\u00e9es par l'interm\u00e9diaire de d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_ENV", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_HEALTH@DF_CARE", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Health care - Regions"}, {"@xml:lang": "fr", "#text": "Soins de sant\u00e9 - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
\nData definition and source
\nThe three indicators above are measured per 1 000 inhabitants.
\nData 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur les ressources en mati\u00e8re de sant\u00e9 dans de grandes r\u00e9gions (TL2) et de petites r\u00e9gions (TL3) lorsque les donn\u00e9es sont disponibles. Les indicateurs comprennent les m\u00e9decins, les infirmiers en exercice, les lits d'h\u00f4pital et les sorties d'h\u00f4pital.
\nD\u00e9finition des donn\u00e9es et source
\nLes trois indicateurs ci-dessus sont mesur\u00e9s par 1 000 habitants.
\nLes donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_hlth) pour les pays de l'UE et avec des donn\u00e9es collect\u00e9es par l'interm\u00e9diaire de d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et \u00e0 partir des sites Web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_HEALTH", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_HEALTH@DF_HEALTH", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,SEX=_Z,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Health statistics - Regions"}, {"@xml:lang": "fr", "#text": "Statistiques sur la sant\u00e9 - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "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).
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on health statistics in regions. Indicators include healthcare resources (physicians, practising nurses, hospital beds and hospital discharges), health status (life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate) and health risks (obesity, mortality due circulatory and respiratory diseases, air pollution).
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_HEALTH", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_HEALTH@DF_RISK", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Health risks - Regions"}, {"@xml:lang": "fr", "#text": "Risques sur la sant\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
\nData definition and source
\nPM2.5 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nUse of data on small regions
\nWhen 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 (xlsx) and the EU methodology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques r\u00e9gionales sur les risques sanitaires dans de grandes r\u00e9gions (TL2) et de petites r\u00e9gions (TL3) lorsque les donn\u00e9es sont disponibles. Les indicateurs comprennent les taux d'ob\u00e9sit\u00e9, l'exposition \u00e0 la pollution atmosph\u00e9rique, les taux de mortalit\u00e9 dus aux maladies circulatoires et respiratoires.
\nD\u00e9finition des donn\u00e9es et source
\nLes indicateurs de pollution atmosph\u00e9rique PM2.5 sont calcul\u00e9s \u00e0 partir de donn\u00e9es g\u00e9ospatiales du projet Global Burden of Disease (GBD) 2019. Les donn\u00e9es sur la mortalit\u00e9 li\u00e9e aux maladies respiratoires et circulatoires sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_hlth) pour les r\u00e9gions de l'UE et via des d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nUtilisation des donn\u00e9es sur les petites r\u00e9gions
\nLorsque des donn\u00e9es socio-d\u00e9mographiques sont analys\u00e9es avec des donn\u00e9es \u00e9conomiques au niveau TL3, il est recommand\u00e9 d'agr\u00e9gater les donn\u00e9es au niveau des r\u00e9gions m\u00e9tropolitaines lorsqu'elles sont associ\u00e9es \u00e0 plusieurs r\u00e9gions TL3. Les r\u00e9gions m\u00e9tropolitaines regroupent les r\u00e9gions TL3 lorsque 50 % ou plus de la population r\u00e9gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr\u00e9\u00e9es par les d\u00e9placements domicile-travail, voir la liste des r\u00e9gions m\u00e9tropolitaines de l'OCDE (xlsx) et la m\u00e9thodologie de l'UE (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_HEALTH", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_HEALTH@DF_STATUS", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Health status - Regions"}, {"@xml:lang": "fr", "#text": "Etat de sant\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
\nData definition and source
\nData 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur l'\u00e9tat de sant\u00e9 dans de grandes r\u00e9gions (TL2) et de petites r\u00e9gions (TL3) lorsque les donn\u00e9es sont disponibles. Les indicateurs comprennent l'esp\u00e9rance de vie, le taux brut de mortalit\u00e9, le taux de mortalit\u00e9 ajust\u00e9 selon l'\u00e2ge et le taux de mortalit\u00e9 infantile.
\nD\u00e9finition des donn\u00e9es et source
\nLes donn\u00e9es sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_hlth) pour les pays de l'UE et avec des donn\u00e9es collect\u00e9es par l'interm\u00e9diaire de d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et \u00e0 partir des sites Web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_HEALTH", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LAB@DF_LEVELS", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour indicators levels - Regions"}, {"@xml:lang": "fr", "#text": "March\u00e9 du travail (niveaux) - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides labour force, employment and unemployment levels, for large regions (TL2) and small regions (TL3) when available.
\nData definition and source
\nThe 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit les niveaux de la population active, de l'emploi et du ch\u00f4mage, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3) lorsque disponibles.
\nD\u00e9finition des donn\u00e9es et source
\nLe statut de la population active est pr\u00e9sent\u00e9 par sexe, pour les tranches d'\u00e2ge de 15 \u00e0 64 ans et de 15 ans et plus, cette derni\u00e8re ayant une couverture nationale moins \u00e9tendue. Les donn\u00e9es sont bas\u00e9es sur une enqu\u00eate sur la population active utilisant les directives de l'OIT et sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent \u00e9galement des sites web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nTypologies territoriales
\nLes petites r\u00e9gions TL3 sont cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales. Consultez les indicateurs d\u00e9mographiques agr\u00e9g\u00e9s par typologie territoriale au niveau national sur la typologie d'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie urbaine-rurale (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LAB@DF_PART_TIME", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Part-time employment - Regions"}, {"@xml:lang": "fr", "#text": "Emploi \u00e0 temps partiel - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides part-time employment incidence, for large regions (TL2) and small regions (TL3) when available.
\nData definition and source
\nPart-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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit l'incidence de l'emploi \u00e0 temps partiel, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3) lorsque disponibles.
\nD\u00e9finition des donn\u00e9es et source
\nL'emploi \u00e0 temps partiel est d\u00e9fini comme les personnes occup\u00e9es (qu'elles soient salari\u00e9es ou ind\u00e9pendantes) qui travaillent g\u00e9n\u00e9ralement moins de 30 heures par semaine dans leur emploi principal. L'incidence de l'emploi \u00e0 temps partiel est la part des employ\u00e9s \u00e0 temps partiel par rapport \u00e0 l'emploi total. Les donn\u00e9es sont bas\u00e9es sur une enqu\u00eate sur la population active utilisant les directives de l'OIT et sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent \u00e9galement des sites web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nTypologies territoriales
\nLes petites r\u00e9gions TL3 sont cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales. Consultez les indicateurs d\u00e9mographiques agr\u00e9g\u00e9s par typologie territoriale au niveau national sur la typologie d'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie urbaine-rurale (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LAB@DF_RATES", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour indicators rates - Regions"}, {"@xml:lang": "fr", "#text": "March\u00e9 du travail (taux) - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides participation rate, employment to population ratio and unemployment rate, for large regions (TL2) and small regions (TL3) when available.
\nData definition and source
\nThe 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit le taux de participation, le ratio emploi-population et le taux de ch\u00f4mage pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3) lorsque disponibles.
\nD\u00e9finition des donn\u00e9es et source
\nLe statut de la population active est pr\u00e9sent\u00e9 par sexe, pour les tranches d'\u00e2ge de 15 \u00e0 64 ans et de 15 ans et plus, cette derni\u00e8re ayant une couverture nationale moins \u00e9tendue. Les donn\u00e9es sont bas\u00e9es sur une enqu\u00eate sur la population active utilisant les directives de l'OIT et sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent \u00e9galement des sites web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nTypologies territoriales
\nLes petites r\u00e9gions TL3 sont cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales. Consultez les indicateurs d\u00e9mographiques agr\u00e9g\u00e9s par typologie territoriale au niveau national sur la typologie d'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie urbaine-rurale (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LAB@DF_TEMPORARY", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Temporary employees - Regions"}, {"@xml:lang": "fr", "#text": "Salari\u00e9s temporaires - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the share of closed fixed term employment contracts for large regions (TL2) and small regions (TL3) when available.
\nData definition and source
\nData is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nTerritorial typologies
\nSmall 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 (link) and by urban-rural typology (link).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit l'incidence de l'emploi \u00e0 temps partiel, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3) lorsque disponibles.
\nD\u00e9finition des donn\u00e9es et source
\nL'emploi \u00e0 temps partiel est d\u00e9fini comme les personnes occup\u00e9es (qu'elles soient salari\u00e9es ou ind\u00e9pendantes) qui travaillent g\u00e9n\u00e9ralement moins de 30 heures par semaine dans leur emploi principal. L'incidence de l'emploi \u00e0 temps partiel est la part des employ\u00e9s \u00e0 temps partiel par rapport \u00e0 l'emploi total. Les donn\u00e9es sont bas\u00e9es sur une enqu\u00eate sur la population active utilisant les directives de l'OIT et sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent \u00e9galement des sites web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
Les r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans la table de correspondance territoriale de l'OCDE (xlsx).
\nTypologies territoriales
\nLes petites r\u00e9gions TL3 sont cat\u00e9goris\u00e9es en fonction de caract\u00e9ristiques communes en typologies r\u00e9gionales. Consultez les indicateurs d\u00e9mographiques agr\u00e9g\u00e9s par typologie territoriale au niveau national sur la typologie d'acc\u00e8s aux zones urbaines fonctionnelles (lien) et par typologie urbaine-rurale (lien).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LAB@DF_TYPE_METRO", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour indicators by access to city typology"}, {"@xml:lang": "fr", "#text": "Indicateurs sur le march\u00e9 du travail par typologie d'acc\u00e8s \u00e0 la ville"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides labour market indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.
\nData source and definition
\nI>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.
\nThe 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.
\nTerritorial typology on the population's access to cities
\nTerritorial 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.
\nThe OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria:
\nList of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des indicateurs du march\u00e9 du travail agr\u00e9g\u00e9s au niveau national et d\u00e9taill\u00e9s par typologie territoriale en fonction de l'acc\u00e8s de la population \u00e0 la ville.
\nSource de donn\u00e9es et d\u00e9finition
\nLes indicateurs comprennent des donn\u00e9es sur le march\u00e9 du travail au lieu de r\u00e9sidence par type de territoire. Les donn\u00e9es sont bas\u00e9es sur une enqu\u00eate sur la population active utilisant la m\u00e9thodologie de l'OIT et sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent \u00e9galement des sites web des offices statistiques nationaux.
. Les indicateurs sont des données agrégées basées sur la typologie des petites régions (TL3) pour calculer un total ou une moyenne par type de territoire.\nTypologie territoriale selon l'accès aux aires urbaines fonctionnelles
\nLa typologie territoriale de l'OCDE sur l'accès aux aires urbaines fonctionnelles utilise le concept des aires urbaines fonctionnelles (FUA) et classe les petites régions (TL3) en régions métropolitaines et non métropolitaines (Fadic et al., 2019) selon les critères suivants :
\nLes régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf) et dans le table de correspondance territoriale de l'OCDE (xlsx).
\nCiter cet ensemble de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LAB@DF_TYPE_RURB", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour indicators by urban-rural territorial typology"}, {"@xml:lang": "fr", "#text": "Indicateurs sur le march\u00e9 du travail par typologie urbaine-rurale"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides labour market indicators aggregated at national level and broken down by urban-rural territorial typology.
\nData source and definition
\nThe 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.
\nThe 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.
\nTerritorial typology based on urban-rural population
\nTerritorial 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.
\nTraditionally 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 (pdf). This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.
\nList of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des indicateurs du march\u00e9 du travail agr\u00e9g\u00e9s au niveau national et d\u00e9taill\u00e9s par typologie territoriale en fonction de l'acc\u00e8s de la population aux zones urbaines fonctionnelles.
\nSource de donn\u00e9es et d\u00e9finition
\nLes indicateurs comprennent des donn\u00e9es sur le march\u00e9 du travail au lieu de r\u00e9sidence par type de territoire. Les donn\u00e9es sont bas\u00e9es sur une enqu\u00eate sur la population active utilisant la m\u00e9thodologie de l'OIT et sont collect\u00e9es aupr\u00e8s d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'interm\u00e9diaire des d\u00e9l\u00e9gu\u00e9s du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent \u00e9galement des sites web des offices statistiques nationaux.
Les indicateurs sont des données agrégées au niveau d'un pays, basées sur la typologie des petites régions (TL3), afin de calculer un total ou une moyenne pour toutes les régions principalement rurales, les régions intermédiaires ou les régions principalement urbaines au sein d'un pays.
\nTypologie territoriale basée sur la population urbaine-rurale
\nLes typologies territoriales aident à évaluer les différences dans les tendances socio-économiques dans les régions, à la fois au sein et entre les pays, et à mettre en évidence les problèmes spécifiques rencontrés par chaque type de région.
\nTraditionnellement, l'OCDE a classé les petites régions (TL3) en régions principalement urbaines, intermédiaires ou principalement rurales. Les régions principalement rurales peuvent être décomposées davantage en 'Proches de la ville' et 'Éloignées', voir la méthodologie (pdf). Cette typologie reste d'intérêt pour les utilisateurs, bien que la typologie territoriale selon l'Acc\u00e8s a la Ville soit maintenant préférée par les analystes de l'OCDE.
\nLa liste des régions de l'OCDE et les typologies sont présentées dans le tableau de correspondance territoriale de l'OCDE (xlsx). Les cartes des régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE (pdf).
\nCiter cet ensemble de données
\nBases de données de l'OCDE sur les régions et les villes http://oe.cd/geostats
\nInformations supplémentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_LABOUR@DF_LAB", "@agencyID": "OECD.CFE.EDS", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour statistics - Regions (for 'Developer API')"}, {"@xml:lang": "fr", "#text": "Statistiques sur le march\u00e9 du travail - R\u00e9gions (pour 'd\u00e9velopeurs API')"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "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.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_LABOUR", "@version": "2.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_MIGRANT@DF_MIGR_STOCK", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,EDUCATION_LEV,SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:ORIGIN,MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;UNIT_MEASURE:Unit\u00e9 de mesure;COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Foreign-born population - Regions"}, {"@xml:lang": "fr", "#text": "Personnes n\u00e9es \u00e0 l'\u00e9tranger - Statistiques r\u00e9gionales"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on foreign-born population, for large regions (TL2).
\nData definiton
\nThe 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.
\nFor more details on data sources for each country, please see here.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur la population n\u00e9e \u00e0 l'\u00e9tranger, pour les grandes r\u00e9gions (TL2).
\nD\u00e9finition des donn\u00e9es
\nLa base de donn\u00e9es pr\u00e9sente les donn\u00e9es sur les personnes n\u00e9es \u00e0 l'\u00e9tranger en fonction de la r\u00e9gion o\u00f9 la mesure est observ\u00e9e et du lieu de naissance. La mesure du nombre et de l'int\u00e9gration des migrants peut \u00eatre compar\u00e9e \u00e0 celle des personnes n\u00e9es dans le pays. Les indicateurs comprennent les caract\u00e9ristiques d\u00e9mographiques, le niveau d'\u00e9ducation et l'int\u00e9gration sur le march\u00e9 du travail.
\nPour plus de d\u00e9tails sur les sources de donn\u00e9es pour chaque pays, veuillez consulter ici.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales situ\u00e9es en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es sur les r\u00e9gions et les villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_MIGRANT", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_MW@DF_WASTE", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Waste treatment - Regions"}, {"@xml:lang": "fr", "#text": "Traitement des d\u00e9chets - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.
\nData definition and source
\nData is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es fournit des statistiques sur les d\u00e9chets municipaux et le traitement des eaux us\u00e9es dans les grandes (TL2) et petites (TL3) r\u00e9gions.
\nD\u00e9finition des donn\u00e9es et source
\nLes donn\u00e9es sont collect\u00e9es par l'interm\u00e9diaire de d\u00e9l\u00e9gu\u00e9s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.
\nD\u00e9finition des r\u00e9gions
\nLes r\u00e9gions sont des unit\u00e9s subnationales en dessous des fronti\u00e8res nationales. Les pays de l'OCDE ont deux niveaux r\u00e9gionaux : les grandes r\u00e9gions (niveau territorial 2 ou TL2) et les petites r\u00e9gions (niveau territorial 3 ou TL3). Les r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf) et dans le tableau de correspondance territoriale de l'OCDE (xlsx).
\nCiter ce jeu de donn\u00e9es
\nBases de donn\u00e9es des r\u00e9gions et des villes de l'OCDE http://oe.cd/geostats
\nInformations compl\u00e9mentaires
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_MW", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_PAT@DF_PAT", "@agencyID": "OECD.CFE.EDS", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Patent statistics - Regions"}, {"@xml:lang": "fr", "#text": "Statistiques sur les brevets - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "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).
\nRegions and territorial levels
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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques infranationales sur les demandes de brevets, pour les grandes r\u00e9gions (TL2) et les petites r\u00e9gions (TL3). Il couvre les demandes de brevets au niveau international aupr\u00e8s de l'Organisation mondiale de la propri\u00e9t\u00e9 intellectuelle (OMPI) selon le Trait\u00e9 de coop\u00e9ration en mati\u00e8re de brevets (PCT). Ces indicateurs sont d\u00e9riv\u00e9s de la base de donn\u00e9es STI de l'OCDE sur la propri\u00e9t\u00e9 intellectuelle (http://oe.cd/ipstats).
R\u00e9gions et niveaux territoriaux
Les r\u00e9gions sont des unit\u00e9s infranationales situ\u00e9es sous les limites nationales et correspondent \u00e0 des divisions administratives d\u00e9finies de mani\u00e8re autonome par les pays selon des crit\u00e8res diff\u00e9rents. L'OCDE classe les r\u00e9gions en deux niveaux r\u00e9gionaux : grandes r\u00e9gions (niveau territorial 2 ou TL2) et petites r\u00e9gions (niveau territorial 3 ou TL3). Cette classification facilite une plus grande comparabilit\u00e9 des unit\u00e9s g\u00e9ographiques au m\u00eame niveau territorial.
La liste et les cartes des r\u00e9gions de l'OCDE sont pr\u00e9sent\u00e9es dans la grille territoriale de l'OCDE (pdf).
Typologies r\u00e9gionales
Les typologies r\u00e9gionales permettent d'\u00e9valuer les diff\u00e9rences dans les tendances socio-\u00e9conomiques des r\u00e9gions, tant au sein des pays qu'entre eux. Les petites r\u00e9gions (TL3) sont class\u00e9es en deux types de typologie selon des caract\u00e9ristiques partag\u00e9es :
La liste des r\u00e9gions de l'OCDE et des typologies est pr\u00e9sent\u00e9e dans le tableau de correspondance territoriale de l'OCDE (xlsx).
Citez ce jeu de donn\u00e9es
Bases de donn\u00e9es sur les R\u00e9gions et Villes de l'OCDE http://oe.cd/geostats
Informations suppl\u00e9mentaires
Les statistiques infranationales peuvent \u00eatre explor\u00e9es davantage avec :
Pour toute question ou commentaire, veuillez \u00e9crire \u00e0 RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_PAT", "@version": "1.0", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_BROADBAND", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Internet broadband access - Regions"}, {"@xml:lang": "fr", "#text": "Logement - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on the share of households with internet broadband access (in % of total households), in regions.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on the share of households with internet broadband access (in % of total households), in regions.
\nRegions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions and Cities databases http://oe.cd/geostats
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_HOUSING", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Housing - Regions"}, {"@xml:lang": "fr", "#text": "Logement - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on rooms per capita, home ownership rate and housing costs as a percentage of disposable income in subnational regions.
\nData definition and source
\nData sources are detailled in OECD Regions and Cities at a Glance 2024 - Annex B
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Housing - Regions), http://oe.cd/geostats.
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on rooms per capita, home ownership rate and housing costs as a percentage of disposable income in subnational regions.
\nData definition and source
\nData sources are detailled in OECD Regions and Cities at a Glance 2024 - Annex B
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Housing - Regions), http://oe.cd/geostats.
\nContact: RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_INCOME_INEQ", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,MEASURE=PR_INC_DISP_PL_50", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Income inequality - Regions"}, {"@xml:lang": "fr", "#text": "In\u00e9galit\u00e9 de revenu - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on income inequalities in subnational regions. Indicators include relative poverty rate and S80/S20 income ratio.
\nData definition and source
\nData sources are detailled in OECD Regions and Cities at a Glance 2024 - Annex B
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Income inequalities - Regions), http://oe.cd/geostats.
\nContact: RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "Ce jeu de données fournit des statistiques sur les inégalités de revenus dans les grandes régions (TL2). Les indicateurs incluent le taux de pauvreté relative et le ratio de revenus S80/S20.
\nDéfinition des données et sources
\nLes sources des données sont détaillées dans Panorama des régions et des villes de l'OCDE 2024 - Annexe B.
\nDéfinition des régions
\nLes régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l’OCDE (pdf) et dans le tableau de correspondance territoriale de l’OCDE (xlsx).
\nCiter ce jeu de données
\nBase de données sur les régions, villes et zones locales de l'OCDE (Inégalités de revenus - Régions), http://oe.cd/geostats.
\nContact : RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_SAFETY", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Safety - Regions"}, {"@xml:lang": "fr", "#text": "S\u00e9curit\u00e9 - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on safety in subnational regions. It covers homicide rates, motor vehicle thefts and mortality rates due to transport in regions.
\nData definition and source
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Safety - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on safety in subnational regions. It covers homicide rates, motor vehicle thefts and mortality rates due to transport in regions.
\nData definition and source
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Safety - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_SOC", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Social statistics - Regions"}, {"@xml:lang": "fr", "#text": "Statistiques sociales - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "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 ‘Developer API query builder’, click on the ‘Developer API’ button above.
\nThe 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.
To get started check the API documentation
Indicators covered
\nSafety - Regions
Civic engagement - Regions
Private road vehicles - Regions
Housing - Regions
Income inequality - Regions
Regions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Social statistics - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "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 ‘Developer API query builder’, click on the ‘Developer API’ button above.
\nThe 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.
To get started check the API documentation
Indicators covered
\nSafety - Regions
Civic engagement - Regions
Private road vehicles - Regions
Housing - Regions
Income inequality - Regions
Regions and territorial levels
\nRegions 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.
\nThe list and maps of OECD regions are presented in the OECD Territorial grid (pdf).
\nRegional typologies
\nRegional 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:
\nThe list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Social statistics - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_VEH", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Private road vehicles - Regions"}, {"@xml:lang": "fr", "#text": "V\u00e9hicules - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on passenger private road motor vehicles by type of engine, in subnational regions.
\nData definition
\nA 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Private road vehicles - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on passenger private road motor vehicles by type of engine, in subnational regions.
\nData definition
\nA 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.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Private road vehicles - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REG_SOC@DF_VOTER", "@agencyID": "OECD.CFE.EDS", "@version": "2.2", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_AREA:Combined reference area"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_AREA:Zone g\u00e9ographique de r\u00e9f\u00e9rence combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Civic engagement - Regions"}, {"@xml:lang": "fr", "#text": "Engagement civique - R\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides statistics on voter turnout to general elections (percentage of registered voters who voted) in subnational regions.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Civic engagement - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}, {"@xml:lang": "fr", "#text": "This dataset provides statistics on voter turnout to general elections (percentage of registered voters who voted) in subnational regions.
\nDefinition of regions
\nRegions 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 (pdf) and in the OECD Territorial correspondence table (xlsx).
\nCite this dataset
\nOECD Regions, cities and local areas database (Civic engagement - Regions), http://oe.cd/geostats.
\nFurther information
\nSubnational statistics can be further explored with:
\nFor any question or comment, please write to RegionStat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_REG_SOC", "@version": "2.2", "@agencyID": "OECD.CFE.EDS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DASHBOARD@COFOG", "@agencyID": "OECD.CFE.RDG", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SECTOR", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,COFOG", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "CONF_STATUS,OBS_STATUS,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Subnational government expenditure by functional classification (COFOG)"}, {"@xml:lang": "fr", "#text": "D\u00e9penses des collectivit\u00e9s territoriales, par fonction de gouvernement (COFOG)"}], "common:Description": [{"@xml:lang": "en", "#text": "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.This dataset provides a framework to monitor trends in SMEs’ and entrepreneurs’ access to finance and supports the formulation and evaluation of policies in this domain.
\nThe 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.
\nFurther information:
\nCet ensemble de données fournit un cadre d'analyse pour suivre les tendances de l'accès des PME et des entrepreneurs au financement et soutient la formulation et l'évaluation des politiques dans ce domaine.
\nL'ensemble de données présente des séries chronologiques sur le financement des PME pour près de 50 pays. Il comprend des informations pour un certain nombre d'indicateurs de base, y compris le financement de la dette et des fonds propres des PME, les conditions de crédit, la solvabilité et les mesures politiques. L'ensemble des indicateurs fournit aux gouvernements et aux autres parties prenantes un cadre cohérent pour évaluer si les besoins de financement des PME sont satisfaits, pour soutenir la conception et l'évaluation des mesures politiques et pour suivre les implications des réformes financières sur l'accès des PME au financement.
\nPour en savoir plus :
\nCompanion 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 latest Effective Carbon Rates report. Annex A of the first publication of Effective Carbon Rates (OECD, 2016) provides a detailed description of the methodology for calculating ECRs.
"}, {"@xml:lang": "fr", "#text": "Le score de tarification du carbone (CPS) r\u00e9pond \u00e0 la question de savoir dans quelle mesure les pays ont atteint l'objectif de tarification de toutes les \u00e9missions de carbone li\u00e9es \u00e0 l'\u00e9nergie en fonction du co\u00fbt du carbone. Le signal du prix du carbone provient du taux effectif sur le carbone (ECR) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis \u00e9changeables qui fixent effectivement un prix sur les \u00e9missions de carbone. Les progr\u00e8s r\u00e9alis\u00e9s en mati\u00e8re de tarification du carbone sont examin\u00e9s \u00e0 l'aune de trois crit\u00e8res de r\u00e9f\u00e9rence. Plus un pays a progress\u00e9 vers la valeur de r\u00e9f\u00e9rence correspondante, plus le CPS est \u00e9lev\u00e9. Par exemple, un CPS de 100 % par rapport \u00e0 une valeur de r\u00e9f\u00e9rence de 60 euros par tonne de CO2 (CPS60) signifie qu'un pays ou un groupe de pays fixe le prix de toutes les \u00e9missions de carbone provenant de l'utilisation de l'\u00e9nergie \u00e0 60 euros ou plus. Un CPS de 0 % signifie que le pays ne fixe aucun prix pour les \u00e9missions. Un CPS interm\u00e9diaire entre 0 % et 100 % signifie que certaines \u00e9missions sont tarif\u00e9es, mais que toutes les \u00e9missions ne sont pas tarif\u00e9es \u00e0 un niveau \u00e9gal ou sup\u00e9rieur \u00e0 la r\u00e9f\u00e9rence.Données complémentaires aux Taux Effectifs sur le Carbone (Effective Carbon Rates - ECR). ECRs mesure la tarification du carbone des émissions de CO2 liées à la consommation d'énergie dans plus de 70 pays, dont 45 pays de l'OCDE et du G20, couvrant 80% des émissions mondiales. L'ensemble de données fournit une vue complète de la tarification du carbone, y compris lles droits d’accise sur les combustibles et les carburants, les taxes sur le carbone et les prix des permis d'émission négociables. Pour plus d'informations, consultez la nouvelle Effective Carbon Rates édition. Annexe A de la première publication de Effective Carbon Rates (OECD, 2016) fournit une description détaillée de la méthodologie de calcul des ECRs.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ECR", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ECR@DF_SEP", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PRICE_LEVEL", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,STATISTICAL_OPERATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,MEASURE=SEP,SECTOR=ENE", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Shares of CO2 emissions from energy priced"}, {"@xml:lang": "fr", "#text": "Part des \u00e9missions \u00e9nergie CO2 tarif\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "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.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 latest Effective Carbon Rates report. Annex A of the first publication of Effective Carbon Rates (OECD, 2016) provides a detailed description of the methodology for calculating ECRs.
"}, {"@xml:lang": "fr", "#text": "L'indicateur de la part des \u00e9missions tarif\u00e9es montre la part des \u00e9missions de CO2 provenant de l'utilisation de l'\u00e9nergie dans un pays ou un secteur dont le prix du carbone d\u00e9passe un certain niveau. Le signal du prix du carbone provient du taux effectif sur le carbone (ECR) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis \u00e9changeables qui fixent effectivement un prix sur les \u00e9missions de carbone.Données complémentaires aux Taux Effectifs sur le Carbone (Effective Carbon Rates - ECR). ECRs mesure la tarification du carbone des émissions de CO2 liées à la consommation d'énergie dans plus de 70 pays, dont 45 pays de l'OCDE et du G20, couvrant 80% des émissions mondiales. L'ensemble de données fournit une vue complète de la tarification du carbone, y compris lles droits d’accise sur les combustibles et les carburants, les taxes sur le carbone et les prix des permis d'émission négociables. Pour plus d'informations, consultez la nouvelle Effective Carbon Rates édition. Annexe A de la première publication de Effective Carbon Rates (OECD, 2016) fournit une description détaillée de la méthodologie de calcul des ECRs.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ECR", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ETR@DF_ETR_BASELINE", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest", "common:AnnotationType": "RELATED_DATA"}, {"@id": "@SDMX", "common:AnnotationTitle": "ETR_TAX_BASIS,REGIME,FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "ETR_SCENARIO=FIXED,ETR_TAX_TYPE=COMPOSITE,MEASURE=EATR+EMTR,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#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"}, {"@xml:lang": "fr", "#text": "Annexe explicative sur les taux effectifs d\u2019imp\u00f4t sur les soci\u00e9t\u00e9s|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates.pdf"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Effective tax rates - Corporate tax statistics"}, {"@xml:lang": "fr", "#text": "Taux d'imposition effectifs - Statistiques de l'imp\u00f4t sur les soci\u00e9t\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Ce tableau rapporte des indicateurs synth\u00e9tiques de politique fiscale calcul\u00e9s sur la base d'un projet d'investissement prospectif et hypoth\u00e9tique. Contrairement aux ETR r\u00e9trospectifs, ils n'int\u00e8grent aucune information sur les paiements d'imp\u00f4ts effectifs des entreprises.La m\u00e9thodologie de l'OCDE a \u00e9t\u00e9 d\u00e9crite en d\u00e9tail dans le Document de travail de l'OCDE sur la fiscalit\u00e9 n\u00b0 38 (Hanappi, 2018). Des informations m\u00e9thodologiques suppl\u00e9mentaires sont disponibles dans l'annexe explicative."}], "structure:Structure": {"Ref": {"@id": "DSD_ETR", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ETR@DF_ETR_IBRD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,REGIME", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_XBRD/latest", "common:AnnotationType": "RELATED_DATA"}, {"@id": "@SDMX", "common:AnnotationTitle": "ETR_TAX_BASIS,ETR_SCENARIO,FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#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"}, {"@xml:lang": "fr", "#text": "Annexe explicative des taux effectifs d\u2019imp\u00f4t sur les soci\u00e9t\u00e9s bas\u00e9s sur le revenue pour la R&D|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates-ibti.pdf"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Effective tax rates for income based tax incentives - Corporate tax statistics"}, {"@xml:lang": "fr", "#text": "Taux d'imposition effectifs pour les incitations fiscales bas\u00e9es sur les revenus - Statistiques de l'imp\u00f4t sur les soci\u00e9t\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms\u2019 investment costs:
\nFurther methodological information is available in the explanatory annex.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des indicateurs synth\u00e9tiques de politique fiscale qui rendent compte de l'effet des incitations fiscales \u00e0 la R&D bas\u00e9es sur les revenus sur les co\u00fbts d'investissement des entreprises :
\nDes informations m\u00e9thodologiques suppl\u00e9mentaires sont disponibles dans l'annexe explicative.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ETR", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ETR@DF_ETR_XBRD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_RDSUB,DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_IBRD/latest", "common:AnnotationType": "RELATED_DATA"}, {"@id": "@SDMX", "common:AnnotationTitle": "ETR_TAX_BASIS,ETR_SCENARIO,REGIME,FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#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"}, {"@xml:lang": "fr", "#text": "Annexe explicative des taux effectifs d\u2019imp\u00f4t sur les soci\u00e9t\u00e9s bas\u00e9s sur les d\u00e9penses pour la R&D|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates-xbti.pdf"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Effective tax rates for expenditure based tax incentives - Corporate tax statistics"}, {"@xml:lang": "fr", "#text": "Taux d'imposition effectifs pour les incitations fiscales bas\u00e9es sur les d\u00e9penses - Statistiques de l'imp\u00f4t sur les soci\u00e9t\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms\u2019 investment costs:
\nFurther methodological information is available in the explanatory annex.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des indicateurs synth\u00e9tiques de politique fiscale qui rendent compte de l'effet des incitations fiscales \u00e0 la R&D bas\u00e9es sur les d\u00e9penses sur les co\u00fbts d'investissement des entreprises :
\nDes informations m\u00e9thodologiques suppl\u00e9mentaires sont disponibles dans l'annexe explicative.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ETR", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_NECR@DF_NECRS", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,PRICE_BASE=Q,MEASURE=FUETAX+CARBTAX+MPERPRI+ECRATE+SUBSID+NETECR,SECTOR=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,PRICE_BASE,BASE_PER", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Net effective carbon rates"}, {"@xml:lang": "fr", "#text": "Taux nets effectifs sur le carbone"}], "common:Description": [{"@xml:lang": "en", "#text": "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.Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}, {"@xml:lang": "fr", "#text": "Le taux effectif sur le carbone (ECR) est la somme des les droits d\u2019accise sur les combustibles et les carburants, des taxes sur le carbone et des permis des syst\u00e8mes d'\u00e9change de quotas d'\u00e9mission (SEQE) qui donnent un prix aux \u00e9missions de carbone. L'ECR net est \u00e9gal \u00e0 l'ECR moins les subventions aux combustibles fossiles qui diminuent les prix des combustibles fossiles avant imp\u00f4t.Companion dataset to Série de publications de l’OCDE sur la tarification du carbone et la fiscalité des énergies.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}], "structure:Structure": {"Ref": {"@id": "DSD_NECR", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_NECR@DF_NECRSHARES", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Shares of emissions priced"}, {"@xml:lang": "fr", "#text": "Part des \u00e9missions de GES tarif\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "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.Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}, {"@xml:lang": "fr", "#text": "L'indicateur de la part des \u00e9missions tarif\u00e9es montre la part des \u00e9missions de gaz \u00e0 effet de serre (GES) dans un pays ou un secteur dont le prix du carbone d\u00e9passe un certain niveau. Le signal du prix du carbone provient du taux effectif sur le carbone (Net ECR) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis \u00e9changeables qui fixent effectivement un prix sur les \u00e9missions de carbone, moins les subventions aux combustibles fossiles qui diminuent les prix des combustibles fossiles avant imp\u00f4t.Companion dataset to Série de publications de l’OCDE sur la tarification du carbone et la fiscalité des énergies.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}], "structure:Structure": {"Ref": {"@id": "DSD_NECR", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_NECR@DF_NECRSREVFOR", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "STATISTICAL_OPERATION,PRICE_BASE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE=_Z,BASE_PER=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,SECTOR=ENE,PRICE_LEVEL=BEN_EUR_0", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Revenue forgone and net effective carbon rates"}, {"@xml:lang": "fr", "#text": "Recettes perdues et taux nets effectifs sur le carbone"}], "common:Description": [{"@xml:lang": "en", "#text": "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.Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}, {"@xml:lang": "fr", "#text": "L'indicateur de recettes perdues estime le manque \u00e0 gagner fiscal li\u00e9 \u00e0 l'absence de tarification des \u00e9missions de carbone \u00e0 un certain niveau de r\u00e9f\u00e9rence. Cet indicateur, calcul\u00e9 sur la base des taux nets effectifs sur le carbone en vigueur, peut \u00eatre utilis\u00e9 pour estimer les aides aux combustibles fossiles accord\u00e9es par les pays.Companion dataset to Série de publications de l’OCDE sur la tarification du carbone et la fiscalité des énergies.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}], "structure:Structure": {"Ref": {"@id": "DSD_NECR", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_NEER@DF_NEERS", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,PRICE_BASE,BASE_PER", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "ENERGY_SOURCE:OECD.CTP.TPS:HCL_ENERGY_SOURCE_TAXENV(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Net effective energy rates"}, {"@xml:lang": "fr", "#text": "Taux nets effectifs sur l'\u00e9nergie"}], "common:Description": [{"@xml:lang": "en", "#text": "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.Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}, {"@xml:lang": "fr", "#text": "Le taux effectif sur l'\u00e9nergie (EER) est la somme des taxes sur les carburants, des taxes sur le carbone, des taxes sur l'\u00e9lectricit\u00e9 et des permis \u00e9changeables qui donnent un prix sur la consommation d'\u00e9nergie. Le EER net est \u00e9gal au EER moins les subventions aux combustibles fossiles et \u00e0 l'\u00e9lectricit\u00e9 qui diminuent les prix de l'\u00e9nergie avant imp\u00f4t. Les taxes d'accise sur l'\u00e9lectricit\u00e9 et les subventions ne traitent g\u00e9n\u00e9ralement pas les combustibles fossiles de mani\u00e8re diff\u00e9renci\u00e9e par rapport aux sources propres et sont donc exclues de l'indicateur du ECR net.Companion dataset to Série de publications de l’OCDE sur la tarification du carbone et la fiscalité des énergies.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}], "structure:Structure": {"Ref": {"@id": "DSD_NEER", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_NEER@DF_REVPOT", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,PRICE_LEVEL,ENERGY_SOURCE,SECTOR", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Net energy tax revenues and reform potential"}, {"@xml:lang": "fr", "#text": "Recettes nettes des taxes sur l'\u00e9nergie et potentiel de r\u00e9forme"}], "common:Description": [{"@xml:lang": "en", "#text": "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.Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}, {"@xml:lang": "fr", "#text": "Le potentiel de recettes d\u00e9coulant de la r\u00e9forme des subventions aux combustibles fossiles et du prix du carbone montre l'augmentation des recettes si les TECs nets (Net ECRs) \u00e9taient augment\u00e9s pour atteindre un niveau de r\u00e9f\u00e9rence de 120 EUR par tonne de CO2 pour tous les combustibles fossiles. Les recettes fiscales nettes de l'\u00e9nergie sont une estimation ascendante des recettes nettes r\u00e9sultant des taxes et des subventions sur l'\u00e9nergie, ainsi que des recettes provenant de la mise aux ench\u00e8res des permis d'\u00e9mission de CO2 li\u00e9s \u00e0 l'\u00e9nergie.Companion dataset to Série de publications de l’OCDE sur la tarification du carbone et la fiscalité des énergies.
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..
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, https://doi.org/10.1787/b44c74e6-en
Pricing Greenhouse Gas Emissions
"}], "structure:Structure": {"Ref": {"@id": "DSD_NEER", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_QDD_CBCREQ@DF_QDD_CBCREQ", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Country-by-country reporting (CbCR) requirements - Corporate tax statistics"}, {"@xml:lang": "fr", "#text": "Exigences de d\u00e9claration pays par pays - Statistiques de l'imp\u00f4t sur les soci\u00e9t\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
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.
Contact: CorporateTaxStatistics@OECD.org
Dans le cadre de l'action 13 du BEPS, toutes les grandes entreprises multinationales (EMN) sont tenues de pr\u00e9parer un rapport pays par pays (CbC) contenant des donn\u00e9es agr\u00e9g\u00e9es sur la r\u00e9partition mondiale des revenus, des b\u00e9n\u00e9fices, des imp\u00f4ts pay\u00e9s et de l'activit\u00e9 \u00e9conomique entre les juridictions fiscales dans lesquelles elles exercent leurs activit\u00e9s. This CbC report is shared with tax administrations in these jurisdictions, for use in high level transfer pricing and BEPS risk assessments. Cette base de donn\u00e9es fournit aux entreprises multinationales et aux administrations fiscales une vue d'ensemble des membres du Cadre inclusif OCDE/G20 sur le BEPS (Cadre inclusif) qui ont introduit une obligation de d\u00e9claration CbC, ainsi que des informations de base concernant la date d'entr\u00e9e en vigueur de ces obligations et leur mode de fonctionnement.
Contact: CorporateTaxStatistics@OECD.org
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.
The OECD gathers information on progress related to the implementation of Action 3, namely:
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.
Contact: CorporateTaxStatistics@OECD.org
Le rapport BEPS Action 3 de 2015 a recommand\u00e9 des approches pour l'\u00e9laboration de r\u00e8gles relatives aux soci\u00e9t\u00e9s \u00e9trang\u00e8res contr\u00f4l\u00e9es (SEC) visant \u00e0 garantir l'imposition de certaines cat\u00e9gories de revenus des entreprises multinationales dans la juridiction de la soci\u00e9t\u00e9 m\u00e8re, afin de contrer certaines structures offshore qui entra\u00eenent un report d'imposition nul ou ind\u00e9fini. Des r\u00e8gles compl\u00e8tes et efficaces en mati\u00e8re de CFC ont pour effet de r\u00e9duire l'incitation \u00e0 transf\u00e9rer les b\u00e9n\u00e9fices d'une juridiction de march\u00e9 vers une juridiction \u00e0 faible taux d'imposition.
L'OCDE recueille des informations sur les progr\u00e8s li\u00e9s \u00e0 la mise en \u0153uvre de l'action 3, \u00e0 savoir :
En g\u00e9n\u00e9ral, une CFC est d\u00e9finie comme une soci\u00e9t\u00e9 \u00e9trang\u00e8re contr\u00f4l\u00e9e directement ou indirectement par un contribuable r\u00e9sident. Les juridictions appliquent divers crit\u00e8res pour d\u00e9terminer le contr\u00f4le. Certaines approches font r\u00e9f\u00e9rence aux droits de vote d\u00e9tenus par les contribuables r\u00e9sidents ou \u00e0 la valeur des actions d\u00e9tenues par les contribuables r\u00e9sidents, tandis que d'autres stipulent qu'une soci\u00e9t\u00e9 \u00e9trang\u00e8re est une CFC si elle exerce ses activit\u00e9s dans une juridiction \u00e0 faible taux d'imposition et que d'autres encore fondent la d\u00e9signation d'une CFC sur un crit\u00e8re fiscal (c'est-\u00e0-dire si la soci\u00e9t\u00e9 \u00e9trang\u00e8re ne paie pas d'imp\u00f4t dans sa juridiction de r\u00e9sidence). Les juridictions varient \u00e9galement dans leur d\u00e9finition du revenu CFC, certaines appliquant les r\u00e8gles CFC \u00e0 tout type de revenu tandis que d'autres ne les appliquent qu'aux revenus passifs (c'est-\u00e0-dire les revenus provenant d'int\u00e9r\u00eats, de biens locatifs, de dividendes, de redevances ou de plus-values). Enfin, les juridictions varient \u00e9galement en ce qui concerne l'existence de tests d'activit\u00e9 substantielle.
Contact: CorporateTaxStatistics@OECD.org
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\u2019s 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).
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\u2019s 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:
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.
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:
Contact: CorporateTaxStatistics@OECD.org
Le projet BEPS de l'OCDE/G20 a identifi\u00e9 la d\u00e9ductibilit\u00e9 des int\u00e9r\u00eats comme un domaine d'attention important. En particulier, le transfert de b\u00e9n\u00e9fices peut r\u00e9sulter d'arrangements utilisant des dettes de tiers (par exemple, lorsqu'une entit\u00e9 ou une juridiction supporte une proportion excessive du total des charges nettes d'int\u00e9r\u00eats de tiers du groupe) et des dettes intragroupe (par exemple, lorsqu'un groupe utilise des charges d'int\u00e9r\u00eats intragroupe pour transf\u00e9rer des revenus imposables de juridictions \u00e0 fiscalit\u00e9 \u00e9lev\u00e9e vers des juridictions \u00e0 fiscalit\u00e9 faible).
En r\u00e9ponse, le rapport 2015 BEPS Action 4 s'est concentr\u00e9 sur l'utilisation de tous les types de dettes donnant lieu \u00e0 des charges d'int\u00e9r\u00eats excessives ou utilis\u00e9es pour financer la production de revenus exon\u00e9r\u00e9s ou diff\u00e9r\u00e9s. En particulier, le rapport final de l'Action 4 a \u00e9tabli des r\u00e8gles qui lient les d\u00e9ductions d'int\u00e9r\u00eats nets d'une entit\u00e9 \u00e0 son niveau d'activit\u00e9 \u00e9conomique dans la juridiction, mesur\u00e9 \u00e0 l'aide des b\u00e9n\u00e9fices imposables avant revenus d'int\u00e9r\u00eats, imp\u00f4ts, d\u00e9pr\u00e9ciation et amortissement. Ces r\u00e8gles comportaient trois \u00e9l\u00e9ments principaux :
Des travaux suppl\u00e9mentaires sur deux aspects de l'approche d\u00e9crite dans le rapport sur l'action 4 ont \u00e9t\u00e9 men\u00e9s \u00e0 bien en 2017. Le premier a port\u00e9 sur des \u00e9l\u00e9ments cl\u00e9s de la conception et du fonctionnement de la r\u00e8gle du ratio de groupe, en se concentrant sur le calcul des charges d'int\u00e9r\u00eat nettes des tiers, le calcul de l'EBITDA du groupe et les approches pour traiter l'impact des entit\u00e9s ayant un EBITDA n\u00e9gatif. La seconde a identifi\u00e9 les caract\u00e9ristiques des secteurs de la banque et de l'assurance qui peuvent limiter la capacit\u00e9 des groupes \u00e0 s'engager dans le BEPS impliquant des int\u00e9r\u00eats, ainsi que les limites de ces contraintes, et les approches pour traiter les risques pos\u00e9s par les entit\u00e9s de ces secteurs.
L'OCDE recueille des informations sur les progr\u00e8s li\u00e9s \u00e0 la mise en \u0153uvre de l'Action 4, \u00e0 savoir si une juridiction a mis en place une r\u00e8gle de limitation des int\u00e9r\u00eats et, dans l'affirmative, les principales caract\u00e9ristiques de la conception de la r\u00e8gle. Les caract\u00e9ristiques de conception comprennent:
Contact: CorporateTaxStatistics@OECD.org
This tables shows information on intellectual property (IP) regimes reviewed by the OECD\u2019s 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.
IP regimes can be regimes that exclusively provide benefits to income from IP, but some preferential regimes categorised as IP regimes are \u201cdual category\u201d 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.
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 \u201cnexus approach\u201d 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.
Contact: CorporateTaxStatistics@OECD.org
Ce tableau pr\u00e9sente des informations sur les r\u00e9gimes de propri\u00e9t\u00e9 intellectuelle (PI) examin\u00e9s par le Forum sur les pratiques fiscales dommageables (FHTP) de l'OCDE. Les r\u00e9gimes de PI permettent d'imposer les revenus tir\u00e9s de l'exploitation de la PI \u00e0 un taux inf\u00e9rieur au taux d'imposition l\u00e9gal normal.
Les r\u00e9gimes de PI peuvent \u00eatre des r\u00e9gimes qui accordent des avantages exclusivement aux revenus tir\u00e9s de la PI, mais certains r\u00e9gimes pr\u00e9f\u00e9rentiels class\u00e9s comme r\u00e9gimes de PI sont des r\u00e9gimes \"\u00e0 double cat\u00e9gorie\". Ces r\u00e9gimes profitent \u00e9galement aux revenus provenant d'autres activit\u00e9s g\u00e9ographiquement mobiles ou profitent \u00e0 un large \u00e9ventail d'activit\u00e9s et n'excluent pas n\u00e9cessairement les revenus provenant de la propri\u00e9t\u00e9 intellectuelle. Comme convenu dans le cadre de la norme minimale de l'Action 5 du BEPS, des examens par les pairs sont entrepris pour identifier les caract\u00e9ristiques des r\u00e9gimes de propri\u00e9t\u00e9 intellectuelle qui peuvent faciliter l'\u00e9rosion de la base d'imposition et le transfert de b\u00e9n\u00e9fices (BEPS) et qui sont donc susceptibles d'avoir un impact injuste sur la base d'imposition d'autres juridictions. Le rapport sur l'action 5 a remis l'accent sur l'exigence d'une activit\u00e9 substantielle pour tout r\u00e9gime pr\u00e9f\u00e9rentiel, et l'\"approche nexus\" est l'exigence d'une activit\u00e9 substantielle d\u00e9velopp\u00e9e pour les r\u00e9gimes de propri\u00e9t\u00e9 intellectuelle. L'approche nexus exige un lien entre le revenu b\u00e9n\u00e9ficiant du r\u00e9gime de propri\u00e9t\u00e9 intellectuelle et la mesure dans laquelle le contribuable a entrepris la R&D sous-jacente qui a g\u00e9n\u00e9r\u00e9 l'actif de propri\u00e9t\u00e9 intellectuelle. Outre l'approche par le lien, les caract\u00e9ristiques des r\u00e9gimes, telles que l'isolement de l'\u00e9conomie nationale et le manque de transparence, sont \u00e9galement prises en compte dans les \u00e9valuations par les pairs.
Contact: CorporateTaxStatistics@OECD.org
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 Revenue Statistics in Africa publication. The data are extracted from OECD, national sources and the IMF.
\nThe reference series 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.
"}, {"@xml:lang": "fr", "#text": "Les s\u00e9ries de r\u00e9f\u00e9rence comprennent des donn\u00e9es sur le produit int\u00e9rieur brut pour les ann\u00e9es de d\u00e9claration fiscale aux prix du march\u00e9 en monnaie nationale ; en dollars am\u00e9ricains ; et les taux de change en monnaie nationale par dollar am\u00e9ricain. Elles sont utilis\u00e9es pour calculer les indicateurs pr\u00e9sent\u00e9s dans la derni\u00e8re publication Statistiques des recettes publiques en Afrique. Les donn\u00e9es sont extraites de l'OCDE, de sources nationales et du FMI.
\nLes s\u00e9ries de r\u00e9f\u00e9rence sont pr\u00e9sent\u00e9es dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine (ATAF), avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REF_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REF_ASAP@DF_REFSERIES_ASAP", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Reference series of Asia and the Pacific economies"}, {"@xml:lang": "fr", "#text": "S\u00e9ries de r\u00e9f\u00e9rence sur les pays \u00e9conomies d'Asie et du Pacifique"}], "common:Description": [{"@xml:lang": "fr", "#text": "Les s\u00e9ries de r\u00e9f\u00e9rence comprennent des donn\u00e9es sur le produit int\u00e9rieur brut pour les ann\u00e9es de d\u00e9claration fiscale aux prix du march\u00e9 en monnaie nationale ; en dollars am\u00e9ricains ; et les taux de change en monnaie nationale par dollar am\u00e9ricain. Elles sont utilis\u00e9es pour calculer les indicateurs pr\u00e9sent\u00e9s dans la derni\u00e8re publication Revenue Statistics in Asia and the Pacific. Les donn\u00e9es sont extraites de l'OCDE, de sources nationales et du FMI.
\nLes s\u00e9ries de r\u00e9f\u00e9rence sont pr\u00e9sent\u00e9es dans Revenue Statistics in Asia and the Pacific, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS)
"}, {"@xml:lang": "en", "#text": "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 Revenue Statistics in Asia and the Pacific publication. The data are extracted from OECD, national sources and the IMF.
\n\nThe reference series are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REF_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REF_GLOBAL@DF_REFSERIES_GLOBAL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Reference series of countries in the global database"}, {"@xml:lang": "fr", "#text": "S\u00e9ries de r\u00e9f\u00e9rence des statistiques des recettes publiques mondiales"}], "common:Description": [{"@xml:lang": "en", "#text": "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 Revenue Statistics, Revenue Statistics in Latin America and the Caribbean, Revenue Statistics in Africa and Revenue Statistics in Asia and the Pacific. The data are extracted from OECD, national sources and the IMF.
"}, {"@xml:lang": "fr", "#text": "Les s\u00e9ries de r\u00e9f\u00e9rence comprennent des donn\u00e9es sur le produit int\u00e9rieur brut pour les ann\u00e9es de d\u00e9claration fiscale aux prix du march\u00e9 en monnaie nationale ; en dollars am\u00e9ricains ; et les taux de change en monnaie nationale par dollar am\u00e9ricain. L'ensemble de donn\u00e9es combine des donn\u00e9es provenant des publications annuelles qui sont utilis\u00e9es pour le calcul des indicateurs dans les publications <\"https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr.html\">Statistiques des recettes publiques , , <\"https://www.oecd.org/fr/publications/revenue-statistics-in-africa-2023_15bc5bc6-en-fr.html\">Statistiques des recettes publiques en Afrique et <\"https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en.html\">Statistiques des recettes publiques en Asie et dans le Pacifique."}], "structure:Structure": {"Ref": {"@id": "DSD_REF_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REF_LAC@DF_REFSERIES_LAC", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Reference series of Latin American and Caribbean countries"}, {"@xml:lang": "fr", "#text": "S\u00e9ries de r\u00e9f\u00e9rence sur les pays d'Am\u00e9rique latine et des Cara\u00efbes"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REF_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REF_OECD@DF_REFSERIES_OECD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Reference series of OECD member countries"}, {"@xml:lang": "fr", "#text": "S\u00e9ries de r\u00e9f\u00e9rence sur les pays membres de l'OCDE"}], "common:Description": [{"@xml:lang": "en", "#text": "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 Revenue Statistics OECD publication. The data are extracted from OECD, national sources and the IMF.
The reference series are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les s\u00e9ries de r\u00e9f\u00e9rence comprennent des donn\u00e9es sur le produit int\u00e9rieur brut pour les ann\u00e9es de d\u00e9claration fiscale aux prix du march\u00e9 en monnaie nationale, et les taux de change en monnaie nationale par dollar am\u00e9ricain. Elles sont utilis\u00e9es pour calculer les indicateurs pr\u00e9sent\u00e9s dans la derni\u00e8re publication des Statistiques des recettes publiques dans les pays de l\u2019OCDE. Les donn\u00e9es sont extraites de l'OCDE, de sources nationales et du FMI.
Les s\u00e9ries de r\u00e9f\u00e9rence sont pr\u00e9sent\u00e9es dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REF_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVBFA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Burkina Faso"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Burkina Faso"}], "common:Description": [{"@xml:lang": "en", "#text": "
Burkina Faso\u2019s 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 tax revenues and non-tax revenues. 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.
Burkina Faso\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Burkina Faso sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVBWA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Botswana"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Botswana"}], "common:Description": [{"@xml:lang": "en", "#text": "Botswana\u2019s 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 tax revenues and non-tax revenues. 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.
Botswana\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Botswana sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2004
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVCIV", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of C\u00f4te d'Ivoire"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la C\u00f4te d'Ivoire"}], "common:Description": [{"@xml:lang": "en", "#text": "C\u00f4te d'Ivoire\u2019s 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 tax revenues and non-tax revenues. 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.
C\u00f4te d'Ivoire\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la C\u00f4te d'Ivoire sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVCMR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Cameroon"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Cameroun"}], "common:Description": [{"@xml:lang": "en", "#text": "Cameroon\u2019s 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 tax revenues and non-tax revenues. 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.
Cameroon\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Cameroun sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1993
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVCOD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of the Democratic Republic of the Congo"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la R\u00e9publique d\u00e9mocratique du Congo"}], "common:Description": [{"@xml:lang": "en", "#text": "The Democratic Republic of the Congo\u2019s 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 tax revenues and non-tax revenues. 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.
The Democratic Republic of the Congo\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la R\u00e9publique d\u00e9mocratique du Congo sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVCOG", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of the Republic of the Congo"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la R\u00e9publique du Congo"}], "common:Description": [{"@xml:lang": "en", "#text": "Congo\u2019s 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 tax revenues and non-tax revenues. 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.
Congo\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Congo sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1998
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVCPV", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Cabo Verde"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Cabo Verde"}], "common:Description": [{"@xml:lang": "en", "#text": "Cabo Verde\u2019s 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 tax revenues and non-tax revenues. 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.
Cabo Verde\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Cabo Verde sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVEGY", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Egypt"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de l'\u00c9gypte"}], "common:Description": [{"@xml:lang": "en", "#text": "Egypt\u2019s 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 tax revenues and non-tax revenues. 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.
Egypt\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de l'\u00c9gypte sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2002
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVGAB", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Gabon"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Gabon"}], "common:Description": [{"@xml:lang": "en", "#text": "Gabon\u2019s 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 tax revenues and non-tax revenues. 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.
Gabon\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Gabon sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2007
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVGHA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Ghana"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Ghana"}], "common:Description": [{"@xml:lang": "en", "#text": "Ghana\u2019s 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 tax revenues and non-tax revenues. 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.
Ghana\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Ghana sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVGIN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Guinea"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Guin\u00e9e"}], "common:Description": [{"@xml:lang": "en", "#text": "Guinea\u2019s 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 tax revenues and non-tax revenues. 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.
Guinea\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Guin\u00e9e sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVGNQ", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Equatorial Guinea"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Guin\u00e9e \u00e9quatoriale"}], "common:Description": [{"@xml:lang": "en", "#text": "Equatorial Guinea\u2019s 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 tax revenues and non-tax revenues. 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.
Equatorial Guinea\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Guin\u00e9e \u00e9quatoriale sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2005
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVKEN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Kenya"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Kenya"}], "common:Description": [{"@xml:lang": "en", "#text": "Kenya\u2019s 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 tax revenues and non-tax revenues. 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.
Kenya\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Kenya sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2001
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVLSO", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Lesotho"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Lesotho"}], "common:Description": [{"@xml:lang": "en", "#text": "Lesotho\u2019s 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 tax revenues and non-tax revenues. 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.
Lesotho\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Lesotho sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2004
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMAR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Morocco"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Maroc"}], "common:Description": [{"@xml:lang": "en", "#text": "Morocco\u2019s 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 tax revenues and non-tax revenues. 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.
Morocco\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Maroc sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMDG", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Madagascar"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Madagascar"}], "common:Description": [{"@xml:lang": "en", "#text": "Madagascar\u2019s 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 tax revenues and non-tax revenues. 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.
Madagascar\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Madagascar sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1993
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.r
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMLI", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Mali"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Mali"}], "common:Description": [{"@xml:lang": "en", "#text": "Mali\u2019s 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 tax revenues and non-tax revenues. 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.
Mali\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Mali sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1992
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMOZ", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=11", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Mozambique"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Mozambique"}], "common:Description": [{"@xml:lang": "en", "#text": "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 tax revenues and non-tax revenues. 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.
Mali\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Mozambique sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1992
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMRT", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Mauritania"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Mauritanie"}], "common:Description": [{"@xml:lang": "en", "#text": "Mauritania\u2019s 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 tax revenues and non-tax revenues. 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.
Mauritania\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Mauritanie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2007
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMUS", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Mauritius"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Maurice"}], "common:Description": [{"@xml:lang": "en", "#text": "Mauritius\u2019s 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 tax revenues and non-tax revenues. 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.
Mauritius\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Maurice sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVMWI", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Malawi"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Malawi"}], "common:Description": [{"@xml:lang": "en", "#text": "Malawi\u2019s 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 tax revenues and non-tax revenues. 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.
Malawi\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Malawi sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2005
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVNAM", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Namibia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Namibie"}], "common:Description": [{"@xml:lang": "en", "#text": "Namibia\u2019s 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 tax revenues and non-tax revenues. 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.
Namibia\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Namibie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVNER", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Niger"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Niger"}], "common:Description": [{"@xml:lang": "en", "#text": "Niger\u2019s 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 tax revenues and non-tax revenues. 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.
Niger\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Niger sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVNGA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Nigeria"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Nig\u00e9ria"}], "common:Description": [{"@xml:lang": "en", "#text": "Nigeria\u2019s 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 tax revenues and non-tax revenues. 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.
Nigeria\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Nig\u00e9ria sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2010
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVRWA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Rwanda"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Rwanda"}], "common:Description": [{"@xml:lang": "en", "#text": "Rwanda\u2019s 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 tax revenues and non-tax revenues. 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.
Rwanda\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Rwanda sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1996
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVSEN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Senegal"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du S\u00e9n\u00e9gal"}], "common:Description": [{"@xml:lang": "en", "#text": "Senegal\u2019s 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 tax revenues and non-tax revenues. 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.
Senegal\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du S\u00e9n\u00e9gal sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1997
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVSLE", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Sierra Leone"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Sierra Leone"}], "common:Description": [{"@xml:lang": "en", "#text": "Sierra Leone\u2019s 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 tax revenues and non-tax revenues. 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.
Sierra Leone\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Sierra Leone sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2001
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVSOM", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=11", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Somalia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Somalie"}], "common:Description": [{"@xml:lang": "en", "#text": "Somalia\u2019s 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 tax revenues and non-tax revenues. 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.
Sierra Leone\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Somalie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2001
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVSWZ", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Eswatini"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de l'Eswatini"}], "common:Description": [{"@xml:lang": "en", "#text": "Eswatini\u2019s 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 tax revenues and non-tax revenues. 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.
Eswatini\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de l'Eswatini sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVSYC", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of the Seychelles"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es des Seychelles"}], "common:Description": [{"@xml:lang": "en", "#text": "Seychelles\u2019s 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 tax revenues and non-tax revenues. 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.
Seychelles\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales des Seychelles sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2008
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVTCD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Chad"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Tchad"}], "common:Description": [{"@xml:lang": "en", "#text": "Chad\u2019s 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 tax revenues and non-tax revenues. 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.
Chad\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Tchad sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2010
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVTGO", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Togo"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Togo"}], "common:Description": [{"@xml:lang": "en", "#text": "Togo\u2019s 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 tax revenues and non-tax revenues. 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.
Togo\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Togo sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVTUN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Tunisia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Tunisie"}], "common:Description": [{"@xml:lang": "en", "#text": "Tunisia\u2019s 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 tax revenues and non-tax revenues. 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.
Tunisia\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Tunisie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVUGA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Uganda"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de l'Ouganda"}], "common:Description": [{"@xml:lang": "en", "#text": "Uganda\u2019s 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 tax revenues and non-tax revenues. 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.
Uganda\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de l'Ouganda sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1992
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVZAF", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of South Africa"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de l'Afrique du Sud"}], "common:Description": [{"@xml:lang": "en", "#text": "South Africa\u2019s 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 tax revenues and non-tax revenues. 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.
South Africa\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de l'Afrique du Sud sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REVZMB", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=11", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Zambia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Zambie"}], "common:Description": [{"@xml:lang": "en", "#text": "Zambia\u2019s 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 tax revenues and non-tax revenues. 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.
South Africa\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Africa, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.
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.
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Zambie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 pays africains et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_AFRICA@DF_REV_ALL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue, all AFRICA countries"}, {"@xml:lang": "fr", "#text": "Details of tax revenue, all AFRICA countries"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVARM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Armenia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l'Arm\u00e9nie"}], "common:Description": [{"@xml:lang": "en", "#text": "Armenia\u2019s 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 tax revenues and non-tax revenues. 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.
Armenia\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de l'Arm\u00e9nie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2010
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de l'Arm\u00e9nie
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVAUS", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Australia in Revenue Statistics of Asia and the Pacific"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l'Australie - Statistiques des recettes publiques en Asie et Pacifique"}], "common:Description": [{"@xml:lang": "en", "#text": "Australia\u2019s 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 tax revenues and non-tax revenues. 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.
Australia\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de l'Australie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de l'Australie
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVAZE", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Azerbaijan"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l'Azerba\u00efdjan"}], "common:Description": [{"@xml:lang": "en", "#text": "Azerbaijan\u2019s 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 tax revenues and non-tax revenues. 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.
Azerbaijan\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de l'Azerba\u00efdjan sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2014
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de l'Azerba\u00efdjan
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVBGD", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Bangladesh"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Bangladesh"}], "common:Description": [{"@xml:lang": "en", "#text": "Bangladesh\u2019s 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 tax revenues and non-tax revenues. 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.
Bangladesh\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales du Bangladesh sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Bangladesh
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVBTN", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Bhutan"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Bhoutan"}], "common:Description": [{"@xml:lang": "en", "#text": "Bhutan\u2019s 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 tax revenues and non-tax revenues. 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.
Bhutan\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Bhoutan sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2008
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Bhoutan
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVCHN", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of China"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Chine"}], "common:Description": [{"@xml:lang": "en", "#text": "China\u2019s 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 tax revenues and non-tax revenues. 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.
China\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la Chine sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2007
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Chine
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVCOK", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Cook Islands"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es des \u00celes Cook"}], "common:Description": [{"@xml:lang": "en", "#text": "Cook Islands\u2019s 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 tax revenues and non-tax revenues. 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.
Cook Islands\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales des \u00celes Cook sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2006
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. des \u00celes Cook
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVFJI", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Fiji"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Fidji"}], "common:Description": [{"@xml:lang": "en", "#text": "Fiji\u2019s 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 tax revenues and non-tax revenues. 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.
Fiji\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Fidji sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2008
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Fidji
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVGEO", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Georgia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la G\u00e9orgie"}], "common:Description": [{"@xml:lang": "en", "#text": "Georgia\u2019s 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 tax revenues and non-tax revenues. 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.
Georgia\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la G\u00e9orgie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la G\u00e9orgie
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVHKG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Hong Kong, China"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de Hong Kong (Chine)"}], "common:Description": [{"@xml:lang": "en", "#text": "Hong Kong (China)\u2019s 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 tax revenues and non-tax revenues. 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.
Hong Kong (China)\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de Hong Kong (Chine) sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2010
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de Hong Kong (Chine)
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVIDN", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Indonesia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l'Indon\u00e9sie"}], "common:Description": [{"@xml:lang": "en", "#text": "Indonesia\u2019s 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 tax revenues and non-tax revenues. 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.
Indonesia\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de l'Indon\u00e9sie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1997
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de l'Indon\u00e9sie
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVJPN", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Japan in Revenue Statistics of Asia and the Pacific"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Japon - Statistiques des recettes publiques en Asie et Pacifique"}], "common:Description": [{"@xml:lang": "en", "#text": "Japan\u2019s 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 tax revenues and non-tax revenues. 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.
Japan\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Japon sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Japon
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVKAZ", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Kazakhstan"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Kazakhstan"}], "common:Description": [{"@xml:lang": "en", "#text": "Kazakhstan\u2019s 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 tax revenues and non-tax revenues. 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.
Kazakhstan\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Kazakhstan sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1998
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Kazakhstan
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVKGZ", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Kyrgyzstan"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Kirghizistan"}], "common:Description": [{"@xml:lang": "en", "#text": "Kyrgyzstan\u2019s 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 tax revenues and non-tax revenues. 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.
Kyrgyzstan\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales du Kirghizistan sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Kirghizistan
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVKHM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Cambodia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Cambodge"}], "common:Description": [{"@xml:lang": "en", "#text": "Cambodia\u2019s 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 tax revenues and non-tax revenues. 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.
Cambodia\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Cambodge sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2005
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Cambodge
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVKIR", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Kiribati"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Kiribati"}], "common:Description": [{"@xml:lang": "en", "#text": "Kiribati\u2019s 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 tax revenues and non-tax revenues. 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.
Kiribati\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales du Kiribati sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2010
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Kiribati
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVKOR", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Korea in Revenue Statistics of Asia and the Pacific"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Cor\u00e9e - Statistiques des recettes publiques en Asie et Pacifique"}], "common:Description": [{"@xml:lang": "en", "#text": "Korea\u2019s 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 tax revenues and non-tax revenues. 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.
Korea\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la Cor\u00e9e sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Cor\u00e9e
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVLAO", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Lao PDR"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la RDP lao"}], "common:Description": [{"@xml:lang": "en", "#text": "Lao PDR\u2019s 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 tax revenues and non-tax revenues. 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.
Lao PDR\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la RDP lao sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2010
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la RDP lao
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVLKA", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Sri Lanka"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Sri Lanka"}], "common:Description": [{"@xml:lang": "en", "#text": "Sri Lanka\u2019s 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 tax revenues and non-tax revenues. 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.
Sri Lanka\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Sri Lanka sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2006
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Sri Lanka
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVMDV", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Maldives"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es des Maldives"}], "common:Description": [{"@xml:lang": "en", "#text": "Maldives\u2019s 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 tax revenues and non-tax revenues. 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.
Maldives\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales des Maldives sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2007
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. des Maldives
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVMHL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Marshall Islands"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es des \u00celes Marshall"}], "common:Description": [{"@xml:lang": "en", "#text": "Marshall Islands\u2019s 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 tax revenues and non-tax revenues. 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.
Marshall Islands\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales des \u00celes Marshall sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2004
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. des \u00celes Marshall
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVMNG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Mongolia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Mongolie"}], "common:Description": [{"@xml:lang": "en", "#text": "Mongolia\u2019s 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 tax revenues and non-tax revenues. 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.
Mongolia\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Mongolie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2006
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Mongolie
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVMYS", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Malaysia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Malaisie"}], "common:Description": [{"@xml:lang": "en", "#text": "Malaysia\u2019s 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 tax revenues and non-tax revenues. 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.
Malaysia\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la Malaisie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Malaisie
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVNRU", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Nauru"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Nauru"}], "common:Description": [{"@xml:lang": "en", "#text": "Nauru\u2019s 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 tax revenues and non-tax revenues. 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.
Nauru\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Nauru sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2014
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Nauru
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVNZL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of New Zealand in Revenue Statistics of Asia and the Pacific"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Nouvelle-Z\u00e9lande - Statistiques des recettes publiques en Asie et Pacifique"}], "common:Description": [{"@xml:lang": "en", "#text": "New Zealand\u2019s 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 tax revenues and non-tax revenues. 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.
New Zealand\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la Nouvelle Z\u00e9lande sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Nouvelle Z\u00e9lande
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVPAK", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Pakistan"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Pakistan"}], "common:Description": [{"@xml:lang": "en", "#text": "Pakistan\u2019s 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 tax revenues and non-tax revenues. 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.
Pakistan\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Pakistan sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2011
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Pakistan
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVPHL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Philippines"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es des Philippines"}], "common:Description": [{"@xml:lang": "en", "#text": "The Philippines\u2019s 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 tax revenues and non-tax revenues. 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.
The Philippines\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales des Philippines sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1994
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. des Philippines
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVPNG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Papua New Guinea"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es de la Papouasie-Nouvelle-Guin\u00e9e"}], "common:Description": [{"@xml:lang": "en", "#text": "Papua New Guinea\u2019s 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 tax revenues and non-tax revenues. 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.
Papua New Guinea\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Papouasie-Nouvelle-Guin\u00e9e sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2002
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Papouasie-Nouvelle-Guin\u00e9e
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVSGP", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Singapore"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Singapour"}], "common:Description": [{"@xml:lang": "en", "#text": "Singapore\u2019s 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 tax revenues and non-tax revenues. 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.
Singapore\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Singapour sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Singapour
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVSLB", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Solomon Islands"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es des \u00celes Salomon"}], "common:Description": [{"@xml:lang": "en", "#text": "Solomon Islands\u2019s 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 tax revenues and non-tax revenues. 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.
Solomon Islands\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales des \u00celes Salomon sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2007
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. des \u00celes Salomon
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVTHA", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Thailand"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Tha\u00eflande"}], "common:Description": [{"@xml:lang": "en", "#text": "Thailand\u2019s 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 tax revenues and non-tax revenues. 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.
Thailand\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de la Tha\u00eflande sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Tha\u00eflande
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVTKL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Tokelau"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Tok\u00e9laou"}], "common:Description": [{"@xml:lang": "en", "#text": "Tokelau\u2019s 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 tax revenues and non-tax revenues. 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.
Tokelau\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Tok\u00e9laou sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2006
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Tok\u00e9laou
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVTLS", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Timor-Leste"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Timor-Leste"}], "common:Description": [{"@xml:lang": "en", "#text": "Timor-Leste\u2019s 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 tax revenues and non-tax revenues. 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.
Timor-Leste\u2019s 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales du Timor-Leste sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2012
. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Timor-Leste
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVVNM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Viet Nam"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Viet Nam"}], "common:Description": [{"@xml:lang": "en", "#text": "Viet Nam\u2019s 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 tax revenues and non-tax revenues. 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.
Viet Nam\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Viet Nam sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2003
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Viet Nam
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVVUT", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Vanuatu"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Vanuatu"}], "common:Description": [{"@xml:lang": "en", "#text": "Vanuatu\u2019s 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 tax revenues and non-tax revenues. 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.
Vanuatu\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Vanuatu sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2000
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Vanuatu
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_ASAP@DF_REVWSM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Samoa"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non fiscales d\u00e9taill\u00e9es du Samoa"}], "common:Description": [{"@xml:lang": "en", "#text": "Samoa\u2019s 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 tax revenues and non-tax revenues. 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.
Samoa\u2019s tax and non-tax revenues are also included in Comparative tables of Revenue Statistics in Asia and the Pacific, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales du Samoa sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 2005
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre 36 \u00e9conomies en Asie et dans le Pacifique et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Samoa
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques en Asie et dans le Pacifique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_AFRICA@DF_RSAFRICA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparative tables of Revenue Statistics in African countries"}, {"@xml:lang": "fr", "#text": "Tableaux comparatifs des Statistiques des recettes publiques en Afrique"}], "common:Description": [{"@xml:lang": "en", "#text": "Detailed, internationally comparable data on the level and structure of tax revenues and non-tax revenues 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.
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.
"}, {"@xml:lang": "fr", "#text": "Des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur le niveau et la structure des recettes fiscales et non fiscales sont pr\u00e9sent\u00e9es pour 36 pays africains \u00e0 partir de 1990 dans Statistiques des recettes publiques en Afrique. L'approche de la classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. Des tableaux d\u00e9taill\u00e9s par pays sont \u00e9galement disponibles dans l\u2019Explorateur des donn\u00e9es de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement.
\nLes tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de d\u00e9veloppement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union europ\u00e9enne.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_AFRICA", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_ASAP@DF_RSASAP", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparative tables of Revenue Statistics in Asia and the Pacific"}, {"@xml:lang": "fr", "#text": "Tableaux comparatifs des Statistiques des recettes publiques en Asie et Pacifique"}], "common:Description": [{"@xml:lang": "en", "#text": "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 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.
\nThe comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur le niveau et la structure des recettes fiscales et non fiscales sont pr\u00e9sent\u00e9es pour 36 \u00e9conomies en Asie et dans le Pacifique \u00e0 partir de 1990. L'approche de la classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et non-tax revenues. Des tableaux d\u00e9taill\u00e9s par pays sont \u00e9galement disponibles dans le Data Explorer de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement.
\nLes tableaux comparatifs figurent dansRevenue Statistics in Asia and the Pacific, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de d\u00e9veloppement de l'OCDE, en coop\u00e9ration avec la Banque asiatique de d\u00e9veloppement (BAD), l'Association des administrateurs fiscaux des \u00eeles du Pacifique (PITAA) et la Communaut\u00e9 du Pacifique (CPS).
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_ASAP", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_GLOBAL@DF_RSGLOBAL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparative tables of countries in the global database"}, {"@xml:lang": "fr", "#text": "Tableaux comparatifs des statistiques des recettes publiques mondiales"}], "common:Description": [{"@xml:lang": "en", "#text": "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 Revenue Statistics, Revenue Statistics in Latin America and the Caribbean, Revenue Statistics in Africa and Revenue Statistics in Asia and the Pacific . 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 Interpretative Guide 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.
"}, {"@xml:lang": "fr", "#text": "Des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur le niveau et la structure des recettes fiscales de plus de 130 \u00e9conomies sont disponibles depuis 1990. L'ensemble de donn\u00e9es combine des donn\u00e9es provenant des publications annuelles <\"https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr.html\">Statistiques des recettes publiques , , <\"https://www.oecd.org/fr/publications/revenue-statistics-in-africa-2023_15bc5bc6-en-fr.html\">Statistiques des recettes publiques en Afriqueand <\"https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en.html\">Statistiques des recettes publiques en Asie et dans le Pacifique. Il comprend \u00e9galement des donn\u00e9es pour les pays qui ne figurent dans aucune publication r\u00e9gionale. L'approche de la classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie des Statistiques des revenus de l'OCDE, qui est expos\u00e9e dans le Guide d' interpr\u00e9tation des recettes fiscales, reconnu au niveau international. Les tableaux d\u00e9taill\u00e9s par pays sont \u00e9galement disponibles dans le Data Explorer de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_LAC@DF_RSLAC", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparative tables of Revenue Statistics in Latin America and the Caribbean"}, {"@xml:lang": "fr", "#text": "Tableaux comparatifs des Statistiques des recettes publiques en Am\u00e9rique latine et dans les Cara\u00efbes"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_LAC", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_OECD@DF_FSSBOECD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Financing of social security benefits in OECD member countries"}, {"@xml:lang": "fr", "#text": "Financement des prestations de s\u00e9curit\u00e9 sociale dans les pays membres de l'OCDE"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Sont class\u00e9s ici tous les paiements obligatoires qui conf\u00e8rent un droit \u00e0 recevoir une prestation sociale future (\u00e9ventuelle). Ces paiements sont g\u00e9n\u00e9ralement affect\u00e9s au financement de prestations sociales et sont souvent vers\u00e9s aux institutions des administrations publiques qui fournissent ces prestations. Toutefois, cette affectation ne fait pas partie de la d\u00e9finition des cotisations de s\u00e9curit\u00e9 sociale et n'est pas n\u00e9cessaire pour qu'un imp\u00f4t soit class\u00e9 dans cette cat\u00e9gorie. En revanche, l'attribution d'un droit est n\u00e9cessaire pour qu'un imp\u00f4t soit class\u00e9 dans cette rubrique. Ainsi, les pr\u00e9l\u00e8vements sur le revenu ou la masse salariale qui sont affect\u00e9s aux fonds de s\u00e9curit\u00e9 sociale mais ne donnent pas droit \u00e0 des prestations sont exclus de cette rubrique et figurent dans les imp\u00f4ts sur le revenu des personnes physiques (1100) ou les imp\u00f4ts sur la masse salariale et la main-d'\u0153uvre (3000). Les imp\u00f4ts sur d'autres bases, telles que les biens et services, qui sont affect\u00e9s aux prestations de s\u00e9curit\u00e9 sociale ne sont pas repris ici mais sont class\u00e9s selon leurs bases respectives car ils ne donnent g\u00e9n\u00e9ralement pas droit \u00e0 des prestations de s\u00e9curit\u00e9 sociale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_OECD@DF_RSOECD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparative tables of Revenue Statistics in OECD member countries"}, {"@xml:lang": "fr", "#text": "Tableaux comparatifs des Statistiques des recettes publiques pour les pays membres de l'OCDE"}], "common:Description": [{"@xml:lang": "en", "#text": "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 Interpretative Guide. 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.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur le niveau et la structure des recettes fiscales sont pr\u00e9sent\u00e9es pour tous les pays de l'OCDE \u00e0 partir de 1965. L'approche de la classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. Des tableaux d\u00e9taill\u00e9s par pays sont \u00e9galement disponibles dans l\u2019Explorateur des donn\u00e9es de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_COMP_OECD@DF_SSCPTOECD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Social security contributions and payroll taxes paid by government in OECD member countries"}, {"@xml:lang": "fr", "#text": "Cotisations de s\u00e9curit\u00e9 sociale et imp\u00f4ts sur les salaires pay\u00e9s par les administrations publiques dans les pays membres de l'OCDE"}], "common:Description": [{"@xml:lang": "en", "#text": "
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\u2019 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.
"}, {"@xml:lang": "fr", "#text": "Paiements obligatoires effectu\u00e9s par les administrations publiques au titre de leurs employ\u00e9s. Les contributions volontaires et imput\u00e9es sont exclues de ces donn\u00e9es. Les cotisations pour les types de prestations de s\u00e9curit\u00e9 sociale suivants seraient, entre autres, incluses : prestations d'assurance ch\u00f4mage et suppl\u00e9ments, prestations d'accident, de blessure et de maladie, pensions de vieillesse, d'invalidit\u00e9 et de survie, allocations familiales, remboursements de frais m\u00e9dicaux et hospitaliers ou fourniture de services hospitaliers ou m\u00e9dicaux. Les cotisations peuvent \u00eatre pr\u00e9lev\u00e9es \u00e0 la fois sur les salari\u00e9s et les employeurs.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_COMP_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REVBGR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Bulgaria"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Bulgarie"}], "common:Description": [{"@xml:lang": "en", "#text": "Bulgaria\u2019s 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 Interpetative Guide 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 Global Revenue Statistics database and with the averages of OECD member countries as well as regional averages.
Bulgaria
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales Bulgarie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre plus de 130 \u00e9conomies inclus dans la Base de donn\u00e9es mondiale des statistiques des recettes publiques et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. Bulgarie
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REVHRV", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Croatia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Croatie"}], "common:Description": [{"@xml:lang": "en", "#text": "Croatia\u2019s 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 Interpetative Guide 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 Global Revenue Statistics database and with the averages of OECD member countries as well as regional averages.
Croatia
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la Croatie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre plus de 130 \u00e9conomies inclus dans la Base de donn\u00e9es mondiale des statistiques des recettes publiques et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Croatie
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REVLIE", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Liechtenstein"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Liechtenstein"}], "common:Description": [{"@xml:lang": "en", "#text": "Liechtenstein\u2019s 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 Interpetative Guide 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 Global Revenue Statistics database and with the averages of OECD member countries as well as regional averages.
Liechtenstein
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales du Liechtenstein sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1998
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre plus de 130 \u00e9conomies inclus dans la Base de donn\u00e9es mondiale des statistiques des recettes publiques et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Liechtenstein
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REVMLT", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Malta"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de Malte"}], "common:Description": [{"@xml:lang": "en", "#text": "Malta\u2019s 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 Interpetative Guide 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 Global Revenue Statistics database and with the averages of OECD member countries as well as regional averages.
Malta
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales du Malte sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre plus de 130 \u00e9conomies inclus dans la Base de donn\u00e9es mondiale des statistiques des recettes publiques et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. du Malte
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REVROU", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Romania"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Roumanie"}], "common:Description": [{"@xml:lang": "en", "#text": "Romania\u2019s 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 Interpetative Guide 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 Global Revenue Statistics database and with the averages of OECD member countries as well as regional averages.
Romania
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales de la Roumanie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre plus de 130 \u00e9conomies inclus dans la Base de donn\u00e9es mondiale des statistiques des recettes publiques et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de la Roumanie
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REVUKR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax and non-tax revenue of Ukraine"}, {"@xml:lang": "fr", "#text": "Recettes fiscales et non-fiscales d\u00e9taill\u00e9es de l'Ukraine"}], "common:Description": [{"@xml:lang": "en", "#text": "Ukraine\u2019s 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 tax revenues and non-tax revenues. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the Global Revenue Statistics database and with the averages of OECD member countries as well as regional averages.
Ukraine
The detailed country tables and the comparative tables are reported in Revenue Statistics in Asia and the Pacific, an annual publication jointly produced by the OECD\u2019s 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).
"}, {"@xml:lang": "fr", "#text": "Les recettes fiscales et non fiscales de l'Ukraine sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de
. Les recettes fiscales et non fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des statistiques de recettes de l'OCDE, expos\u00e9e dans le Guide interpr\u00e9tatif pour les recettes fiscales et recettes non fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre plus de 130 \u00e9conomies inclus dans la Base de donn\u00e9es mondiale des statistiques des recettes publiques et avec les moyennes d'autres r\u00e9gions et le moyenne des pays membres de l'OCDE. de l'Ukraine
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_GLOBAL@DF_REV_ALL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue, all GLOBAL countries"}, {"@xml:lang": "fr", "#text": "Details of tax revenue, all GLOBAL countries"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_GLOBAL", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVARG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Argentina"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l'Argentine"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVATG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Antigua and Barbuda"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es d'Antigua-et-Barbuda"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVBHS", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Bahamas"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es des Bahamas"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVBLZ", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Belize"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de Belize"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVBOL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Bolivia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Bolivie"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVBRA", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Brazil"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Br\u00e9sil"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVBRB", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Barbados"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Barbade"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVCHL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Chile in Revenue Statistics in Latin America and the Caribbean"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Chili - Statistiques des recettes publiques en Am\u00e9rique latine et dans les Cara\u00efbes"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVCOL", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Colombia in Revenue Statistics in Latin America and the Caribbean"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Colombie - Statistiques des recettes publiques en Am\u00e9rique latine et dans les Cara\u00efbes"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVCRI", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Costa Rica in Revenue Statistics in Latin America and the Caribbean"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Costa Rica - Statistiques des recettes publiques en Am\u00e9rique latine et dans les Cara\u00efbes"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVCUB", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Cuba"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de Cuba"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVDOM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Dominican Republic"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la R\u00e9publique dominicaine"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVECU", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Ecuador"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l'\u00c9quateur"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVGTM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Guatemala"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Guatemala"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVGUY", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Guyana"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Guyana"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVHND", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Honduras"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Honduras"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVJAM", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Jamaica"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Jama\u00efque"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVLCA", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Saint Lucia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de Sainte-Lucie"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVMEX", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Mexico in Revenue Statistics in Latin America and the Caribbean"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Mexique - Statistiques des recettes publiques en Am\u00e9rique latine et dans les Cara\u00efbes"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVNIC", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Nicaragua"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Nicaragua"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVPAN", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Panama"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Panama"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVPER", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Peru"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du P\u00e9rou"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVPRY", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Paraguay"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Paraguay"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVSLV", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of El Salvador"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de El Salvador"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVTTO", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Trinidad and Tobago"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de Trinit\u00e9-et-Tobago"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVURY", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Uruguay"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es d'Uruguay"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_LAC@DF_REVVEN", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Venezuela"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du V\u00e9n\u00e9zuela"}], "common:Description": [{"@xml:lang": "en", "#text": "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\nThese tables are also reported in Revenue Statistics in Latin America and the Caribbean 2024, 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).
\n\nExtending 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.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux pr\u00e9sentent des donn\u00e9es d\u00e9taill\u00e9es et comparables au niveau international sur les recettes fiscales de 27 pays d'Am\u00e9rique latine et des Cara\u00efbes (ALC), dont quatre sont membres de l'OCDE. La classification est bas\u00e9e sur la m\u00e9thodologie bien \u00e9tablie de la base de donn\u00e9es des Statistiques des recettes publiques de l'OCDE, qui est une r\u00e9f\u00e9rence essentielle pour les pays membres de l'OCDE. \n\nCes tableaux figurent \u00e9galement dans Estad\u00edsticas tributarias en Am\u00e9rica Latina y el Caribe 2024, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coop\u00e9ration et de d\u00e9veloppement \u00e9conomiques (OCDE), du Centre de d\u00e9veloppement de l'OCDE, de la Commission \u00e9conomique des Nations Unies pour l'Am\u00e9rique latine et les Cara\u00efbes (CEPALC), du Centre interam\u00e9ricain des administrations fiscales (CIAT) et de la Banque interam\u00e9ricaine de d\u00e9veloppement (BID), avec le soutien financier de l'Agence espagnole de coop\u00e9ration internationale pour le d\u00e9veloppement (AECID).
\n\nL\u2019application de la m\u00e9thodologie de l'OCDE aux pays d'Am\u00e9rique latine et des Cara\u00efbes permet de comparer les recettes fiscales sur une base coh\u00e9rente \u00e0 la fois dans cette r\u00e9gion et avec les pays de l'OCDE. Dans quelques cas, cette m\u00e9thodologie diff\u00e8re de l'approche utilis\u00e9e par la CEPALC, la CIAT et la BID ; ces diff\u00e9rences sont signal\u00e9es dans les tableaux. Les tableaux comparatifs pr\u00e9sentent des donn\u00e9es comparables sur le total des recettes fiscales et les recettes fiscales par cat\u00e9gorie d\u2019imp\u00f4t en pourcentage du PIB ; Ils pr\u00e9sentent aussi la part des diff\u00e9rentes cat\u00e9gories d'imp\u00f4t dans la composition des recettes fiscales totales. Les tableaux d\u00e9taill\u00e9s par pays pr\u00e9sentent les recettes fiscales en monnaie nationale.
"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_LAC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVAUS", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVAUS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Australia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Australie"}], "common:Description": [{"@xml:lang": "en", "#text": "Australia\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Australia\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Australie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Australie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVAUT", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Austria"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Autriche"}], "common:Description": [{"@xml:lang": "en", "#text": "
Austria\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Austria\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Autriche sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Autriche sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVBEL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVBEL(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Belgium"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Belgique"}], "common:Description": [{"@xml:lang": "en", "#text": "
Belgium\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Belgium\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Belgique sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Belgique sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVCAN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCAN(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Canada"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Canada"}], "common:Description": [{"@xml:lang": "en", "#text": "
Canada\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Canada\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Canada sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Canada sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVCHE", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Switzerland"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Suisse"}], "common:Description": [{"@xml:lang": "en", "#text": "
Switzerland\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Switzerland\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Suisse sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Suisse sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVCHL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Chile"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Chili"}], "common:Description": [{"@xml:lang": "en", "#text": "
Chile\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Chile\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Chili sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Chili sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVCOL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Colombia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Colombie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Colombia\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Colombia\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Colombie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Colombie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVCRI", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Costa Rica"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Costa Rica"}], "common:Description": [{"@xml:lang": "en", "#text": "
Costa Rica\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Costa Rica\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Costa Rica sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1990 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Costa Rica sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVCZE", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCZE(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Czechia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Tch\u00e9quie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Czechia\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Czechia\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Tch\u00e9quie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1993 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Tch\u00e9quie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVDEU", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Germany"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Allemagne"}], "common:Description": [{"@xml:lang": "en", "#text": "
Germany\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Germany\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Allemagne sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Allemagne sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVDNK", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Denmark"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Danemark"}], "common:Description": [{"@xml:lang": "en", "#text": "
Denmark\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Denmark\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Danemark sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Danemark sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVESP", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Spain"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Espagne"}], "common:Description": [{"@xml:lang": "en", "#text": "
Spain\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Spain\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Espagne sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Espagne sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVEST", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Estonia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Estonie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Estonia\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Estonia\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Estonie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Estonie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVFIN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Finland"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Finlande"}], "common:Description": [{"@xml:lang": "en", "#text": "
Finland\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Finland\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Finlande sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Finlande sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVFRA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of France"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la France"}], "common:Description": [{"@xml:lang": "en", "#text": "
France\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
France\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la France sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la France sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVGBR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of the United Kingdom"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Royaume-Uni"}], "common:Description": [{"@xml:lang": "en", "#text": "
The United Kingdom\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
The United Kingdom\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Royaume-Uni sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Royaume-Uni sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVGRC", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVGRC(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Greece"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Gr\u00e8ce"}], "common:Description": [{"@xml:lang": "en", "#text": "
Greece\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Greece\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Gr\u00e8ce sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Gr\u00e8ce sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVHUN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVHUN(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Hungary"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Hongrie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Hungary\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Hungary\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Hongrie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1991 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Hongrie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVIRL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Ireland"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Irlande"}], "common:Description": [{"@xml:lang": "en", "#text": "
Ireland\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Ireland\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Irlande sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Irlande sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVISL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Iceland"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Islande"}], "common:Description": [{"@xml:lang": "en", "#text": "
Iceland\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Iceland\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Islande sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Islande sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVISR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Israel"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es d\u2019Isra\u00ebl"}], "common:Description": [{"@xml:lang": "en", "#text": "
Israel\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Israel\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales d\u2019Isra\u00ebl sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales d\u2019Isra\u00ebl sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVITA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Italy"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de l\u2019Italie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Italy\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Italy\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de l\u2019Italie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de l\u2019Italie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVJPN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Japan"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Japon"}], "common:Description": [{"@xml:lang": "en", "#text": "
Japan\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Japan\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Japon sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Japon sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVKOR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Korea"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Cor\u00e9e"}], "common:Description": [{"@xml:lang": "en", "#text": "
Korea\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Korea\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Cor\u00e9e sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1972 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Cor\u00e9e sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVLTU", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Lithuania"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Lituanie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Lithuania\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Lithuania\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Lituanie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Lituanie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVLUX", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Luxembourg"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Luxembourg"}], "common:Description": [{"@xml:lang": "en", "#text": "
Luxembourg\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Luxembourg\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Luxembourg sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Luxembourg sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVLVA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVLVA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Latvia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Lettonie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Latvia\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Latvia\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Lettonie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Lettonie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVMEX", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Mexico"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Mexique"}], "common:Description": [{"@xml:lang": "en", "#text": "
Mexico\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Mexico\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Mexique sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1980 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Mexique sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVNLD", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of the Netherlands"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es des Pays-Bas"}], "common:Description": [{"@xml:lang": "en", "#text": "
The Netherlands\u2019 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
The Netherlands\u2019 tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales des Pays-Bas sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales des Pays-Bas sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVNOR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Norway"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Norv\u00e8ge"}], "common:Description": [{"@xml:lang": "en", "#text": "
Norway\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Norway\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Norv\u00e8ge sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Norv\u00e8ge sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVNZL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of New Zealand"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Nouvelle-Z\u00e9lande"}], "common:Description": [{"@xml:lang": "en", "#text": "
New Zealand\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
New Zealand\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Nouvelle-Z\u00e9lande sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Nouvelle-Z\u00e9lande sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVPOL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVPOL(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Poland"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Pologne"}], "common:Description": [{"@xml:lang": "en", "#text": "
Poland\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Poland\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Pologne sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1991 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Pologne sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVPRT", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Portugal"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es du Portugal"}], "common:Description": [{"@xml:lang": "en", "#text": "
Portugal\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Portugal\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales du Portugal sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales du Portugal sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVSVK", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of the Slovak Republic"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la R\u00e9publique slovaque"}], "common:Description": [{"@xml:lang": "en", "#text": "
Slovak Republic\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Slovak Republic\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la R\u00e9publique slovaque sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la R\u00e9publique slovaque sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVSVN", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Slovenia"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Slov\u00e9nie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Slovenia\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Slovenia\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Slov\u00e9nie sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Slov\u00e9nie sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVSWE", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of Sweden"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la Su\u00e8de"}], "common:Description": [{"@xml:lang": "en", "#text": "
Sweden\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
Sweden\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la Su\u00e8de sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la Su\u00e8de sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVTUR", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of T\u00fcrkiye"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es de la T\u00fcrkiye"}], "common:Description": [{"@xml:lang": "en", "#text": "
T\u00fcrkiye\u2019s 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
T\u00fcrkiye\u2019s tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales de la T\u00fcrkiye sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales de la T\u00fcrkiye sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REVUSA", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REVENUE_CODE", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Cat\u00e9gorie fiscale;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue of the United States"}, {"@xml:lang": "fr", "#text": "Recettes fiscales d\u00e9taill\u00e9es des \u00c9tats-Unis"}], "common:Description": [{"@xml:lang": "en", "#text": "
The United States\u2019 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 Interpretative Guide. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.
The United States\u2019 tax revenues are also included in Comparative tables of Revenue Statistics OECD countries, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.
The detailed country tables and the comparative tables are reported in Revenue Statistics OECD, 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."}, {"@xml:lang": "fr", "#text": "
Les recettes fiscales des \u00c9tats-Unis sont pr\u00e9sent\u00e9es en monnaie nationale \u00e0 partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont class\u00e9es selon la m\u00e9thodologie bien \u00e9tablie des Statistiques des recettes publiques de l'OCDE, expos\u00e9e dans le Guide d\u2019interpr\u00e9tation. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base coh\u00e9rente entre les pays membres de l'OCDE.
Les recettes fiscales des \u00c9tats-Unis sont \u00e9galement incluses dans les Tableaux comparatifs des statistiques des recettes publiques des pays de l\u2019OCDE, qui fournissent des donn\u00e9es internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l\u2019OCDE.
Les tableaux d\u00e9taill\u00e9s par pays et les tableaux comparatifs figurent dans les Statistiques des recettes publiques dans les pays de l\u2019OCDE, une publication annuelle qui pr\u00e9sente un ensemble unique de donn\u00e9es fiscales d\u00e9taill\u00e9es et comparables au niveau international dans un format commun pour tous les pays de l'OCDE \u00e0 partir de 1965."}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_REV_OECD@DF_REV_ALL", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Details of tax revenue, all OECD countries"}, {"@xml:lang": "fr", "#text": "Details of tax revenue, all OECD countries"}], "structure:Structure": {"Ref": {"@id": "DSD_REV_OECD", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_CIT@DF_CIT", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SECTOR", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,REF_AREA,TARGETING", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S13+S1311+S13M,LASTNPERIODS=1,TARGETING=ST", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,SECTOR", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Corporate income tax statutory and targeted small business rates"}, {"@xml:lang": "fr", "#text": "Taux l\u00e9gaux de l'imp\u00f4t sur les b\u00e9n\u00e9fices des soci\u00e9t\u00e9s et taux cibl\u00e9s pour les petites entreprises"}], "common:Description": [{"@xml:lang": "en", "#text": "
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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux l\u00e9gaux et cibl\u00e9s, sous-centraux et combin\u00e9s de l'imp\u00f4t sur le revenu des soci\u00e9t\u00e9s. Targeted rates of 'small incorporated business' are on the basis of size alone (e.g. number of employees, amount of assets, turnover or taxable income) and not on the basis of expenditures or other targeting criteria. Les donn\u00e9es relatives aux taux cibl\u00e9s ne sont disponibles que pour les pays membres de l'OCDE.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_CIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_CIT@DF_CIT_DIVD_INCOME", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR,MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Combined (corporate and shareholder) statutory tax rates on dividend income"}, {"@xml:lang": "fr", "#text": "Taux l\u00e9gaux d'imposition combin\u00e9s (soci\u00e9t\u00e9s et actionnaires) sur les revenus de dividendes"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux d'imposition statutaires effectifs sur les distributions de revenus de source nationale \u00e0 un actionnaire individuel r\u00e9sident, en tenant compte de l'imp\u00f4t sur les soci\u00e9t\u00e9s, de l'imp\u00f4t sur le revenu des personnes physiques et de tout type d'int\u00e9gration ou d'all\u00e8gement visant \u00e0 r\u00e9duire les effets de la double imposition.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_CIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_AV", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SECTOR,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "INCOME_PRINCIPAL", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Personal income tax and social security contributions - average rates on gross wage earnings for a single person without dependent"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques et cotisations de s\u00e9curit\u00e9 sociale - taux moyens sur les revenus salariaux bruts pour une personne seule sans personne \u00e0 charge"}], "common:Description": [{"@xml:lang": "en", "#text": "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 Taxing Wages comparative tables dataset, 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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau indique les taux moyens d'imp\u00f4t sur le revenu des personnes physiques et de cotisations de s\u00e9curit\u00e9 sociale pour une personne seule sans personne \u00e0 charge, \u00e0 diff\u00e9rents multiples (67 %, 100 %, 133 %, 167 %) du SMA/SPA. Le salaire moyen (SM) par pays et par ann\u00e9e se trouve dans Les imp\u00f4ts sur le travail - indicateurs comparatifs de l'OCDE, sous l'intitul\u00e9 de l'indicateur : Total des revenus bruts avant imp\u00f4ts. Le salaire moyen est calcul\u00e9 sur la base d'une personne seule \u00e0 100 % du salaire moyen, sans enfant. Les r\u00e9sultats, d\u00e9riv\u00e9s du cadre des imp\u00f4ts sur les salaires de l'OCDE (\u00e9labor\u00e9 dans la publication annuelle Les imp\u00f4ts sur les salaires), utilisent les taux d'imposition applicables \u00e0 l'ann\u00e9e fiscale. Les r\u00e9sultats tiennent compte des abattements et des cr\u00e9dits d'imp\u00f4t sur le revenu de base/standard et incluent les transferts familiaux en esp\u00e8ces./p>"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_AV_COMB", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_SPOUSE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CIVIL_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Personal income tax and social security contributions - average combined personal income tax and employee social security contribution rates by household type"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques et cotisations de s\u00e9curit\u00e9 sociale - taux moyens combin\u00e9s de l'imp\u00f4t sur le revenu des personnes physiques et des cotisations de s\u00e9curit\u00e9 sociale des salari\u00e9s, par type de m\u00e9nage"}], "common:Description": [{"@xml:lang": "en", "#text": "
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 OECD Taxing Wages 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.
The sub-central personal tax rates used in this table correspond to those used in Taxing Wages.
"}, {"@xml:lang": "fr", "#text": "
Ce tableau pr\u00e9sente les taux moyens de l'imp\u00f4t sur le revenu des personnes physiques (hors et y compris les transferts universels en esp\u00e8ces aux familles) pour les personnes seules et les couples mari\u00e9s \u00e0 un seul revenu, avec ou sans enfants, calcul\u00e9s au salaire moyen (100 % SMA). Les r\u00e9sultats, d\u00e9riv\u00e9s du cadre des OCDE Les imp\u00f4ts sur les salaires, (\u00e9labor\u00e9 dans la publication annuelle Les imp\u00f4ts sur les salaires), utilisent les taux d'imposition et de prestations applicables \u00e0 l'ann\u00e9e fiscale. Les r\u00e9sultats tiennent compte des abattements et des cr\u00e9dits d'imp\u00f4t de base/standard de l'imp\u00f4t sur le revenu. Les r\u00e9sultats de l'imp\u00f4t sur le revenu des personnes physiques et des cotisations de s\u00e9curit\u00e9 sociale des salari\u00e9s moins les transferts en esp\u00e8ces tiennent compte des transferts familiaux en esp\u00e8ces (effectu\u00e9s par l'administration centrale ou sous-centrale) vers\u00e9s normalement pour les enfants \u00e0 charge \u00e2g\u00e9s de cinq \u00e0 douze ans qui fr\u00e9quentent l'\u00e9cole. Les taux d'imposition des personnes au niveau sous-central utilis\u00e9s dans ce tableau correspondent \u00e0 ceux utilis\u00e9s dans Les imp\u00f4ts sur les salaires.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_CENT", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "LEVEL,TRANSACTION,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT,SECTOR=S1311", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Personal income tax - central government rates and thresholds for a single person at 100% of average wage without dependents"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques - taux et seuils d'imposition de l'administration centrale pour une personne seule \u00e0 100 % du salaire moyen sans personne \u00e0 charge"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux l\u00e9gaux de l'imp\u00f4t sur le revenu des personnes physiques de l'administration centrale pour les revenus salariaux, ainsi que les seuils de revenu imposable auxquels ces taux l\u00e9gaux s'appliquent, y compris les abattements fiscaux de base/standard, les cr\u00e9dits d'imp\u00f4t et les taux de surtaxe. Ces informations s'appliquent \u00e0 une personne seule sans personne \u00e0 charge.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_MR", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SECTOR,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "INCOME_PRINCIPAL", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Personal income tax and social security contributions - marginal rates on gross wage earnings for a single person without dependents"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques et cotisations de s\u00e9curit\u00e9 sociale - taux marginaux sur les revenus salariaux bruts pour une personne seule sans personne \u00e0 charge"}], "common:Description": [{"@xml:lang": "en", "#text": "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 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. The sub-central personal tax rates used in this table correspond to those used in Taxing Wages.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux marginaux de l'imp\u00f4t sur le revenu des personnes physiques et des cotisations de s\u00e9curit\u00e9 sociale pour une personne seule sans personne \u00e0 charge, \u00e0 diff\u00e9rents multiples (67%, 100%, 133%, 167%) du salaire moyen/travailleur. Les r\u00e9sultats, d\u00e9riv\u00e9s OCDE Les imp\u00f4ts sur les salaires du cadre (\u00e9labor\u00e9 dans la publication annuelle Taxing Wages), utilisent les taux d'imposition applicables \u00e0 l'ann\u00e9e fiscale. Les r\u00e9sultats tiennent compte des abattements et des cr\u00e9dits d'imp\u00f4t sur le revenu de base/standard et incluent les transferts familiaux en esp\u00e8ces. Les taux d'imposition des personnes au niveau sous-central utilis\u00e9s dans ce tableau correspondent \u00e0 ceux utilis\u00e9s dans Les imp\u00f4ts sur les salaires.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_SUB_NON_PROG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TAX_BASE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSACTION,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Personal income tax - sub-central rates for a non-progressive system for a single person at 100% of average wage without dependants"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques - taux d'imposition au niveau infranational pour un syst\u00e8me non progressif pour une personne seule \u00e0 100 % du salaire moyen sans personne \u00e0 charge"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau indique les taux repr\u00e9sentatifs de l'imp\u00f4t sous-central sur le revenu des personnes physiques, les abattements fiscaux et les cr\u00e9dits d'imp\u00f4t utilis\u00e9s dans les tableaux I.4-I.7. S'applique au revenu salarial d'une personne seule sans personne \u00e0 charge. Bas\u00e9 sur une ville repr\u00e9sentative ou une moyenne des taux sous-centraux. Taux sous-centraux minimums et maximums selon les \u00c9tats et les municipalit\u00e9s.
Le tableau I.7 fournit des d\u00e9tails suppl\u00e9mentaires sur les syst\u00e8mes fiscaux sous-centraux bas\u00e9s sur une structure de taux d'imp\u00f4t sur le revenu progressif.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_SUB_PROG", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "LEVEL,TRANSACTION,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,TAX_BASE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT_PROG,SECTOR=S13M", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Personal income tax - sub-central rates and thresholds for a progressive system for a single person at 100% of average wage without dependants"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques - taux et seuils d'imposition au niveau infranational pour un syst\u00e8me progressif pour une personne seule \u00e0 100 % du salaire moyen sans personne \u00e0 charge"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau fournit des informations d\u00e9taill\u00e9es sur les syst\u00e8mes sous-centraux d'imp\u00f4t sur le revenu avec des structures de taux progressifs, sur la base du cas repr\u00e9sentatif qui s'applique au revenu salarial d'une personne c\u00e9libataire sans personne \u00e0 charge. Les informations figurant dans les colonnes \"Niveau de gouvernement\" et \"Base d'imposition\" correspondent aux m\u00eames colonnes dans le tableau Taux de l'imp\u00f4t sous-central sur le revenu des personnes physiques pour un syst\u00e8me non progressif pour une personne seule \u00e0 100% du salaire moyen sans personne \u00e0 charge.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_PIT@DF_PIT_TOP_EARN_THRESH", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,SECTOR=S13", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "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"}, {"@xml:lang": "fr", "#text": "Imp\u00f4t sur le revenu des personnes physiques - taux l\u00e9gal maximal et taux marginal d'imposition pour les salari\u00e9s au seuil de r\u00e9mun\u00e9ration o\u00f9 le taux l\u00e9gal maximal de l'imp\u00f4t sur le revenu des personnes physiques s'applique pour la premi\u00e8re fois"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau indique de la situation d'une personne seule sans personne \u00e0 charge sur la base du niveau de revenus o\u00f9 le taux l\u00e9gal sup\u00e9rieur de l'imp\u00f4t sur le revenu des personnes physiques s'applique pour la premi\u00e8re fois. Les taux marginaux d'imposition sont calcul\u00e9s sur la base d'une augmentation d'une unit\u00e9 des revenus salariaux bruts au niveau du seuil. Les r\u00e9sultats, qui utilisent les taux d'imposition applicables \u00e0 l'ann\u00e9e fiscale, tiennent compte des abattements et des cr\u00e9dits d'imp\u00f4t sur le revenu de base/standard.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_PIT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_SSC@DF_SSC_EMPLOYEE", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SCHEDULE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "LEVEL,TRANSACTION,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,TAX_BASE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Social security contributions - employee rates"}, {"@xml:lang": "fr", "#text": "Cotisations de s\u00e9curit\u00e9 sociale - taux des employ\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux de cotisation \u00e0 la s\u00e9curit\u00e9 sociale des salari\u00e9s et les dispositions qui s'y rapportent. Un cas repr\u00e9sentatif est utilis\u00e9 pour les pays o\u00f9 les dispositions de s\u00e9curit\u00e9 sociale varient en fonction de la localit\u00e9.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_SSC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_SSC@DF_SSC_EMPLOYER", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SCHEDULE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "LEVEL,TRANSACTION,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,TAX_BASE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Social security contributions - employer rates"}, {"@xml:lang": "fr", "#text": "Cotisations de s\u00e9curit\u00e9 sociale - taux des employeurs"}], "common:Description": [{"@xml:lang": "en", "#text": "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.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux de cotisation des employeurs \u00e0 la s\u00e9curit\u00e9 sociale et les dispositions connexes en utilisant le cas repr\u00e9sentatif pour les pays o\u00f9 les dispositions en mati\u00e8re de s\u00e9curit\u00e9 sociale varient en fonction de la localit\u00e9.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_SSC", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_WAGES_COMP@DF_TW_COMP", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=AV_TW,HOUSEHOLD_TYPE=S_C0,INCOME_PRINCIPAL=AW100,INCOME_SPOUSE=_Z,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_HOUSEHOLD_TYPE:Household type"}, {"@xml:lang": "fr", "#text": "COMBINED_HOUSEHOLD_TYPE:Type de m\u00e9nage"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour taxation \u2013 OECD comparative indicators"}, {"@xml:lang": "fr", "#text": "Les imp\u00f4ts sur le travail - indicateurs comparatifs de l'OCDE"}], "common:Description": [{"@xml:lang": "en", "#text": "These tables, which are also reported in the OECD Taxing Wages publication, 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.
These data on tax burdens and cash benefits are widely used in academic research and the preparation and evaluation of social economic policy-making. However, some definitions may differ from other datasets within OECD.Stat.
The Taxing Wages publication provides further information on the terminology used in Taxing Wages datasets together with a set of downloadable tables and charts.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux, qui sont également signalés dans la publication de l'OCDE Les impôts sur les salaires fournissent des informations uniques pour chacun des pays membres de l'OCDE sur les impôts payés par les travailleurs, leurs cotisations de sécurité sociale, les prestations familiales qu'ils perçoivent sous la forme de transferts en espèces ainsi que les partenaires sociaux cotisations de sécurité et les impôts sur les salaires payés par leurs employeurs. Les montants des impôts et des cotisations de sécurité sociale et les prestations en espèces reçues sont énoncées, programme par programme, pour 8 différents types de ménages caractérisés par staus matrimonial, le nombre d'enfants, les niveaux de revenus sont exprimés en proportion du salaire moyen et si il ya un ou deux salariés.Les résultats communiqués comprennent la charge fiscale moyenne et marginale pour chaque type de ménage.
Ces données sur la pression fiscale et les prestations sont largement utilisés dans la recherche universitaire et la préparation et l'évaluation de la politique économique sociale de décision.
Toutefois, certaines définitions peuvent être différentes de celles utilisées dans d’autres bases de données sur OECD.Stat. Le site Internet des « Impôts sur les salaires oe.cd/taxing-wages apporte d’autres éléments d’information sur la terminologie utilisée dans les bases de données des « Impôts sur les salaires ». On y trouve également des tableaux et des graphiques à télécharger.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_WAGES_COMP", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_WAGES_COU@DF_TW_COU", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_PRINCIPAL", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0+S_C2,INCOME_PRINCIPAL=AW100+AW67+AW167,INCOME_SPOUSE=_Z,LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_HOUSEHOLD_TYPE:Household type"}, {"@xml:lang": "fr", "#text": "COMBINED_HOUSEHOLD_TYPE:Type de m\u00e9nage"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE:OECD.CTP.TPS:HCL_TAX_WAGES(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour taxation \u2013 detailed OECD member country tables"}, {"@xml:lang": "fr", "#text": "Les imp\u00f4ts sur le travail - tableaux d\u00e9taill\u00e9s des pays membres de l'OCDE"}], "common:Description": [{"@xml:lang": "en", "#text": "These tables, which are also reported in the OECD Taxing Wages publication, 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.
These data on tax burdens and cash benefits are widely used in academic research and the preparation and evaluation of social economic policy-making. However, some definitions may differ from other datasets within OECD.Stat.
The Taxing Wages publication provides further information on the terminology used in Taxing Wages datasets together with a set of downloadable tables and charts.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux, qui sont également signalés dans la publication de l'OCDE Les impôts sur les salaires fournissent des informations uniques pour chacun des pays membres de l'OCDE sur les impôts payés par les travailleurs, leurs cotisations de sécurité sociale, les prestations familiales qu'ils perçoivent sous la forme de transferts en espèces ainsi que les partenaires sociaux cotisations de sécurité et les impôts sur les salaires payés par leurs employeurs. Les montants des impôts et des cotisations de sécurité sociale et les prestations en espèces reçues sont énoncées, programme par programme, pour 8 différents types de ménages caractérisés par staus matrimonial, le nombre d'enfants, les niveaux de revenus sont exprimés en proportion du salaire moyen et si il ya un ou deux salariés.Les résultats communiqués comprennent la charge fiscale moyenne et marginale pour chaque type de ménage.
Ces données sur la pression fiscale et les prestations sont largement utilisés dans la recherche universitaire et la préparation et l'évaluation de la politique économique sociale de décision.
Toutefois, certaines définitions peuvent être différentes de celles utilisées dans d’autres bases de données sur OECD.Stat. Le site Internet des « Impôts sur les salaires oe.cd/taxing-wages apporte d’autres éléments d’information sur la terminologie utilisée dans les bases de données des « Impôts sur les salaires ». On y trouve également des tableaux et des graphiques à télécharger.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_WAGES_COU", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TAX_WAGES_DECOMP@DF_TW_DECOMP", "@agencyID": "OECD.CTP.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "INCOME_PRINCIPAL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "CIVIL_STATUS,HOUSEHOLD_TYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0,LASTNPERIODS=1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_HOUSEHOLD_TYPE:Household type"}, {"@xml:lang": "fr", "#text": "COMBINED_HOUSEHOLD_TYPE:Type de m\u00e9nage"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour taxation \u2013 average and marginal tax wedge decompositions"}, {"@xml:lang": "fr", "#text": "Les imp\u00f4ts sur le travail - d\u00e9compositions du coin fiscal moyen et marginal"}], "common:Description": [{"@xml:lang": "en", "#text": "These tables, which are also reported in the OECD Taxing Wages publication, 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.
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.
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.
However, some definitions may differ from other datasets (for example the System of National Accounts) within OECD.Stat.
Taxing Wages provides further information on the terminology used in Taxing Wages datasets together with a set of downloadable tables and charts.
"}, {"@xml:lang": "fr", "#text": "Ces tableaux, qui figurent \u00e9galement dans la publication de l'OCDE Les imp\u00f4ts sur les salaires, fournissent des informations uniques pour chacun des pays de l'OCDE sur les imp\u00f4ts sur le revenu pay\u00e9s par les travailleurs, leurs cotisations de s\u00e9curit\u00e9 sociale, les prestations familiales qu'ils re\u00e7oivent sous forme de transferts en esp\u00e8ces, ainsi que les cotisations de s\u00e9curit\u00e9 sociale et les imp\u00f4ts sur les salaires pay\u00e9s par leurs employeurs.
\n\nLes montants des imp\u00f4ts et des cotisations de s\u00e9curit\u00e9 sociale pay\u00e9s et des prestations en esp\u00e8ces re\u00e7ues sont pr\u00e9sent\u00e9s, programme par programme, pour une gamme de niveaux de revenus pour quatre types de m\u00e9nages diff\u00e9rents : un travailleur c\u00e9libataire sans enfant, un travailleur c\u00e9libataire avec deux enfants, un couple mari\u00e9 \u00e0 un seul revenu sans enfant et un couple mari\u00e9 \u00e0 un seul revenu avec deux enfants. Dans cet ensemble de donn\u00e9es, des niveaux de revenus compris entre 1 % et 250 % du salaire moyen sont envisag\u00e9s pour le principal soutien de chaque type de m\u00e9nage.
\n\nLes r\u00e9sultats pr\u00e9sent\u00e9s incluent la charge fiscale moyenne et marginale pour chaque type de m\u00e9nage. Ces donn\u00e9es sur la charge fiscale et les prestations en esp\u00e8ces sont largement utilis\u00e9es dans la recherche universitaire et dans la pr\u00e9paration et l'\u00e9valuation de la politique \u00e9conomique sociale.
\n\nToutefois, certaines d\u00e9finitions peuvent diff\u00e9rer de celles d'autres ensembles de donn\u00e9es (par exemple le Syst\u00e8me de comptabilit\u00e9 nationale) au sein d'OECD.Stat.
\n\nLes imp\u00f4ts sur les salaires fournit de plus amples informations sur la terminologie utilis\u00e9e dans les ensembles de donn\u00e9es des imp\u00f4ts sur les salaires, ainsi qu'une s\u00e9rie de tableaux et de graphiques t\u00e9l\u00e9chargeables.
"}], "structure:Structure": {"Ref": {"@id": "DSD_TAX_WAGES_DECOMP", "@version": "1.1", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WHT@DF_WHT_STANDARD", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA,LEGAL_BASIS,TREATY_DATE,FREQ,UNIT_MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=STA", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Standard withholding tax rates - Corporate tax statistics"}, {"@xml:lang": "fr", "#text": "Taux de retenue \u00e0 la source standard - Statistiques de l'imp\u00f4t sur les soci\u00e9t\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux standard de retenue \u00e0 la source applicables aux entreprises lorsqu'elles effectuent des paiements \u00e0 d'autres entit\u00e9s commerciales \u00e9trang\u00e8res ou nationales ou \u00e0 des particuliers, par exemple sous forme de dividendes, d'int\u00e9r\u00eats et de redevances. Les gouvernements per\u00e7oivent ces imp\u00f4ts sur la base de taux d'imposition l\u00e9gaux qui obligent les entreprises \u00e0 retenir une fraction des paiements transfrontaliers dans le cadre de la retenue \u00e0 la source."}], "structure:Structure": {"Ref": {"@id": "DSD_WHT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WHT@DF_WHT_TREATY", "@agencyID": "OECD.CTP.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA,TREATY_DATE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_BASIS,FREQ,UNIT_MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=TRE,REF_AREA=AUS", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Treaty based withholding tax rates - Corporate tax statistics"}, {"@xml:lang": "fr", "#text": "Taux de retenue \u00e0 la source bas\u00e9s sur les trait\u00e9s - Statistiques de l'imp\u00f4t sur les soci\u00e9t\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les taux de retenue \u00e0 la source standard pr\u00e9vus par les conventions bilat\u00e9rales et applicables aux entreprises lorsqu'elles effectuent des paiements \u00e0 d'autres entit\u00e9s commerciales \u00e9trang\u00e8res ou nationales ou \u00e0 des particuliers, par exemple sous la forme de dividendes, d'int\u00e9r\u00eats et de redevances. Les gouvernements per\u00e7oivent ces imp\u00f4ts sur la base de taux d'imposition l\u00e9gaux qui obligent les entreprises \u00e0 retenir une fraction des paiements transfrontaliers dans le cadre de la retenue \u00e0 la source."}], "structure:Structure": {"Ref": {"@id": "DSD_WHT", "@version": "1.0", "@agencyID": "OECD.CTP.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DEBT_TRANS_COLL@DF_MICRO", "@agencyID": "OECD.DAF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "DD_ID,REF_AREA,RECIPIENT_TYPE,TIME_PERIOD,FIN_TYPE,CURRENCY,INTEREST_RATE,INTEREST_RATE_TYPE,CLAIM_RANK", "common:AnnotationType": "LAYOUT_ROW"}]}, "common:Name": {"@xml:lang": "en", "#text": "Debt Transparency Individual Transactions"}, "common:Description": {"@xml:lang": "en", "#text": "The data shows the individual transactions\u2019 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."}, "structure:Structure": {"Ref": {"@id": "DSD_DEBT_TRANS_COLL", "@version": "1.0", "@agencyID": "OECD.DAF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DEBT_TRANS_DDOWN@DF_DDOWN", "@agencyID": "OECD.DAF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "CURRENCY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,FREQ", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "DD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DRILLDOWN_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2000,FREQ=M,DD_DIM=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": {"@xml:lang": "en", "#text": "Debt Transparency Aggregates"}, "common:Description": {"@xml:lang": "en", "#text": "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\u2019 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."}, "structure:Structure": {"Ref": {"@id": "DSD_DEBT_TRANS_DDOWN", "@version": "1.0", "@agencyID": "OECD.DAF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_BC", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "1.03", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Benefit payments and contributions to asset-backed pensions"}, {"@xml:lang": "fr", "#text": "Paiements de prestations et cotisations de la retraite par capitalisation"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Les prestations repr\u00e9sentent l'une des sources de sortie de fonds des plans de retraite, tandis que les cotisations sont l'une des sources de revenu. Les prestations sont des paiements vers\u00e9s aux adh\u00e9rents (ou aux personnes \u00e0 charge) apr\u00e8s la retraite et peuvent prendre la forme d'une somme forfaitaire ou d'une rente. Les cotisations sont des paiements qui peuvent \u00eatre effectu\u00e9s \u00e0 un plan par les promoteurs ou les adh\u00e9rents.\n\nLes utilisateurs peuvent trouver le montant des prestations et des cotisations dans plusieurs unit\u00e9s (monnaie nationale, dollar am\u00e9ricain et en pourcentage du PIB), ainsi que la r\u00e9partition des cotisations entre les employ\u00e9s et les employeurs (en monnaie nationale, dollar am\u00e9ricain et en pourcentage des cotisations totales) dans cet ensemble de donn\u00e9es."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_FPS", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,PLAN_TYPE,DEFINITION_TYPE,VEHICLE_TYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=1000,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "1.07", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Asset-backed pensions - main database"}, {"@xml:lang": "fr", "#text": "Retraite par capitalisation - base de donn\u00e9es principale"}], "common:Description": [{"@xml:lang": "en", "#text": "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\u2019 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."}, {"@xml:lang": "fr", "#text": "Cette base de donn\u00e9es sur la retraite par capitalisation est bas\u00e9e sur des donn\u00e9es collect\u00e9es dans le cadre de l\u2019exercice des statistiques mondiales sur les pensions de l\u2019OCDE. Les donn\u00e9es proviennent de diverses sources administratives, principalement : autorit\u00e9s de contr\u00f4le des retraites, autorit\u00e9s des march\u00e9s financiers, minist\u00e8res des finances ou offices nationaux de statistique. Les donn\u00e9es couvrent tous les r\u00e9gimes de retraite par capitalisation dans lesquels des actifs sont accumul\u00e9s pour garantir les paiements de prestations futures, \u00e0 l\u2019exception des r\u00e9serves des r\u00e9gimes de retraite publics (par r\u00e9partition). Les r\u00e9gimes de retraite par capitalisation peuvent \u00eatre financ\u00e9s par diff\u00e9rents v\u00e9hicules (tels que des fonds de pension, des contrats d\u2019assurance retraite, des fonds g\u00e9r\u00e9s par des banques ou des soci\u00e9t\u00e9s d\u2019investissement), administr\u00e9s par une institution publique ou priv\u00e9e, obligatoires ou volontaires, professionnels ou individuels, \u00e0 prestations d\u00e9finies ou \u00e0 cotisations d\u00e9finies, pour les travailleurs du secteur public ou priv\u00e9. Les r\u00e9serves comptables des employeurs sont \u00e9galement dans le champ d'\u00e9tude.\n\nCette base de donn\u00e9es comprend diverses statistiques et indicateurs sur la retraite par capitalisation comme par exemple les actifs destin\u00e9s \u00e0 la retraite, les engagements des organismes de retraite, leurs revenus, leurs d\u00e9penses, le nombre de fonds et de plans, ainsi que le nombre d'adh\u00e9rents. Ces statistiques et indicateurs peuvent \u00eatre d\u00e9compos\u00e9s par type de financement et par type de plan."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_MB", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "1.02", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Pension plan membership"}, {"@xml:lang": "fr", "#text": "Adh\u00e9sion aux r\u00e9gimes de retraite"}], "common:Description": [{"@xml:lang": "en", "#text": "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)."}, {"@xml:lang": "fr", "#text": "Les adh\u00e9rents des plans de retraite sont ceux qui sont soit actifs (travaillant ou cotisant, et donc accumulant activement des actifs), passifs (retrait\u00e9s, et donc recevant des prestations) ou titulaires de droits diff\u00e9r\u00e9s dans un plan de retraite.\n\nCet ensemble de donn\u00e9es montre la proportion d'adh\u00e9rents actifs, titulaires de droits diff\u00e9r\u00e9s et passifs, ainsi que la proportion d'hommes et de femmes participant \u00e0 un plan, en pourcentage du total des adh\u00e9rents. Ces indicateurs sont disponibles par type de plan de retraite (professionnel ou individuel, \u00e0 prestations d\u00e9finies ou \u00e0 cotisations d\u00e9finies) et par financement (par exemple, fonds de pension, contrats d'assurance-retraite, autre v\u00e9hicule de financement)."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_OC", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "1.01", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Operating costs of asset-backed pensions"}, {"@xml:lang": "fr", "#text": "Co\u00fbts de fonctionnement de la retraite par capitalisation"}], "common:Description": [{"@xml:lang": "en", "#text": "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)."}, {"@xml:lang": "fr", "#text": "Les co\u00fbts de fonctionnement comprennent tous les co\u00fbts d'administration et de gestion des investissements impliqu\u00e9s dans le processus de transformation des cotisations de retraite en prestations de retraite. Les indicateurs sur les co\u00fbts de fonctionnement refl\u00e8tent \u00e9galement la mesure dans laquelle les donn\u00e9es sont disponibles dans chaque juridiction pour les diff\u00e9rents types de co\u00fbts support\u00e9s par les prestataires de retraite (tels que les fonds de pension, les compagnies d'assurance, les banques ou les fonds d'investissement proposant des r\u00e9gimes de retraite).\n\nCet ensemble de donn\u00e9es montre les d\u00e9penses d\u2019investissement et les co\u00fbts d'administration des prestataires de retraite, exprim\u00e9s en pourcentage du total des actifs."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_PA", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD, VEHICLE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "1.06", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Assets earmarked for retirement"}, {"@xml:lang": "fr", "#text": "Actifs destin\u00e9s \u00e0 la retraite"}], "common:Description": [{"@xml:lang": "en", "#text": "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\u2019 book reserves but do not cover reserves of public (pay-as-you-go) pension arrangements."}, {"@xml:lang": "fr", "#text": "Les actifs destin\u00e9s \u00e0 la retraite sont des actifs accumul\u00e9s pour couvrir les futurs versements de prestations. Ces actifs peuvent s\u2019accumuler dans des fonds de pension, des contrats d\u2019assurance retraite, des fonds g\u00e9r\u00e9s par des banques ou des soci\u00e9t\u00e9s d\u2019investissement. Ils peuvent \u00eatre dans des plans professionnels ou individuels, \u00e0 prestations d\u00e9finies ou \u00e0 cotisations d\u00e9finies. \n\nCet ensemble de donn\u00e9es montre le montant des actifs - exprim\u00e9 en monnaie nationale, en dollar am\u00e9ricain et en pourcentage du PIB - par type de v\u00e9hicule.\n\nLes donn\u00e9es couvrent les r\u00e9serves comptables des employeurs, mais pas les r\u00e9serves des r\u00e9gimes de retraite publics (par r\u00e9partition)."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_SPS", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE,PLAN_TYPE,DEFINITION_TYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=AFV", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "1.05", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Structure of asset-backed pensions"}, {"@xml:lang": "fr", "#text": "Structure de la retraite par capitalisation"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Il y a diff\u00e9rents types de plans dans le paysage des r\u00e9gimes de retraite \u00e0 travers le monde. Ces plans peuvent financer les prestations futures des retrait\u00e9s par le biais de diff\u00e9rents instruments (fonds de pension, r\u00e9serves dans les comptes des employeurs, contrats d'assurance retraite, fonds g\u00e9r\u00e9s par des banques ou des soci\u00e9t\u00e9s d'investissement). Ils peuvent \u00eatre administr\u00e9s par une institution publique ou priv\u00e9e, obligatoires ou volontaires, professionnels ou individuels, \u00e0 prestations d\u00e9finies ou \u00e0 cotisations d\u00e9finies, destin\u00e9s aux travailleurs du secteur public ou priv\u00e9.\n\nCet ensemble de donn\u00e9es montre la r\u00e9partition des actifs par type de v\u00e9hicule. Il comprend \u00e9galement la r\u00e9partition des actifs des plans de retraite professionnels entre les plans \u00e0 prestations d\u00e9finies et les plans \u00e0 cotisations d\u00e9finies. Les utilisateurs peuvent \u00e9galement trouver le montant des actifs des plans professionnels et individuels, ainsi que les actifs des plans \u00e0 prestations d\u00e9finies et \u00e0 cotisations d\u00e9finies exprim\u00e9s en pourcentage du PIB."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FP@DF_WI", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=PT_AS,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "1.04", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Asset allocation of pension funds and other pension providers"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des actifs des fonds de pension et autres prestataires de retraite"}], "common:Description": [{"@xml:lang": "en", "#text": "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)."}, {"@xml:lang": "fr", "#text": "La mani\u00e8re dont les actifs destin\u00e9s \u00e0 la retraite sont investis sur les march\u00e9s financiers varie selon les juridictions. L'exercice de l'OCDE sur les statistiques mondiales des pensions recueille \u00e0 la fois des donn\u00e9es sur les investissements directs dans divers instruments et v\u00e9hicules et des donn\u00e9es sur les investissements indirects par le biais de plans de placement collectif.\n\nCet ensemble de donn\u00e9es montre la r\u00e9partition des actifs des fournisseurs de pensions (par exemple, les fonds de pension, les compagnies d'assurance proposant des contrats d'assurance pension et d'autres fournisseurs) par type de classe d'actifs ou d'instrument, exprim\u00e9e en monnaie nationale, dollar am\u00e9ricain, en pourcentage du total des actifs (et en pourcentage du total des avoirs d'un instrument donn\u00e9 dans certains cas)."}], "structure:Structure": {"Ref": {"@id": "DSD_FP", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_ASSET_ALLOC", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.011", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Asset allocation of insurance companies"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des actifs des compagnies d'assurance"}], "common:Description": [{"@xml:lang": "en", "#text": "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)."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es pr\u00e9sente les investissements directs des assureurs dans une liste d\u00e9taill\u00e9e d'instruments financiers et leurs investissements indirects par le biais d'organismes de placement collectif. Les utilisateurs peuvent trouver la r\u00e9partition des actifs ventil\u00e9e par propri\u00e9t\u00e9 des compagnies d'assurance (entreprises nationales, les entreprises sous contr\u00f4le \u00e9tranger et succursales et agences), type d'assurance (vie, non-vie, mixte), type d'assureur (assureur direct, r\u00e9assureur) et destination des investissements (nationaux ou \u00e9trangers)."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_BSI", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD,INSURANCE_TYPE=_T,INSURER_TYPE=DIR", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.009", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Balance sheet and income statement of insurance companies"}, {"@xml:lang": "fr", "#text": "Bilan et compte de r\u00e9sultat des compagnies d'assurance"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es couvre plusieurs \u00e9l\u00e9ments relatifs au bilan et au compte de r\u00e9sultat des assureurs directs et des r\u00e9assureurs, tels que les actifs, les provisions techniques, les capitaux propres, le r\u00e9sultat net, les sinistres bruts pay\u00e9s, les d\u00e9penses d'exploitation brutes, les commissions et les variations des provisions pour sinistres impay\u00e9s."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_BUSINESS_ABROAD", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=GRS,UNIT_MEASURE=USD,OWNERSHIP=BASUB_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,COUNTERPART_AREA=W", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.012", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Insurance business written abroad"}, {"@xml:lang": "fr", "#text": "Activit\u00e9 d'assurance souscrite \u00e0 l'\u00e9tranger"}], "common:Description": [{"@xml:lang": "en", "#text": "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 \u201cOwnership\u201d filter)."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es couvre les activit\u00e9s d'assurance souscrites \u00e0 l'\u00e9tranger par des succursales, des agences et des filiales. Ces informations sont disponibles par juridiction d'origine (zone de r\u00e9f\u00e9rence) et par juridiction \u00e9trang\u00e8re (d'accueil) dans la zone OCDE (zone de contrepartie). La r\u00e9partition par zone de contrepartie n'est disponible que pour les succursales et les agences (Allez dans le filtre \"Propri\u00e9taire\")."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_CLASSES", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "INSURANCE_CLASS", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=GRS,UNIT_MEASURE=USD,INSURANCE_BUSINESS=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.013", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Insurance business written by class of insurance"}, {"@xml:lang": "fr", "#text": "Activit\u00e9 d'assurance souscrite par branche d'assurance"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset covers the breakdown of premiums by insurance class for life and non-life insurance."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es couvre la r\u00e9partition des primes par cat\u00e9gorie d'assurance pour l'assurance vie et non-vie."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_IND", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,PREMIUMS,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "INSURANCE_TYPE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.015", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Insurance indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs d'assurance"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es comprend des indicateurs cl\u00e9s sur le secteur de l'assurance, tels que la p\u00e9n\u00e9tration de l'assurance (primes brutes \u00e9mises en pourcentage du PIB), la densit\u00e9 de l'assurance (primes brutes \u00e9mises en dollars des \u00c9tats-Unis par habitant), la part de l'assurance vie et non-vie dans le total des activit\u00e9s d'assurance (primes brutes \u00e9mises en assurance vie et non-vie en pourcentage des primes brutes), le ratio de r\u00e9tention (primes nettes \u00e9mises en pourcentage des primes brutes) et la part de r\u00e9assurance (r\u00e9assurance accept\u00e9e en pourcentage des primes brutes). Cet ensemble de donn\u00e9es montre \u00e9galement la part de march\u00e9 domestique des entreprises et des succursales/agences sous contr\u00f4le \u00e9tranger dans chaque juridiction d\u00e9clarante, ainsi que la r\u00e9partition g\u00e9ographique des primes \u00e9mises au sein de l'OCDE."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_NB_COMP", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OWNERSHIP", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=UND,INSURANCE_TYPE=_T,EMPLOYER_TYPE=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.008", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Insurance companies and employees"}, {"@xml:lang": "fr", "#text": "Compagnies d'assurance et employ\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es indique le nombre de compagnies d'assurance op\u00e9rant dans le secteur de l'assurance vie, le secteur non-vie et les deux (c'est-\u00e0-dire des entreprises mixtes), ainsi que le nombre de soci\u00e9t\u00e9s de r\u00e9assurance, ventil\u00e9s entre compagnies nationales, sous contr\u00f4le \u00e9tranger et des succursales/agences. Cet ensemble de donn\u00e9es comprend \u00e9galement le nombre total d'employ\u00e9s dans les compagnies d'assurance et les interm\u00e9diaires dans chaque juridiction."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INS@DF_UNDERWRITING", "@agencyID": "OECD.DAF.CM", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,CONTRACT_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD,OWNERSHIP=UND_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,CONTRACT_TYPE=_T+_Z,RISK_LOCATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "1.014", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Premiums, claims and expenses of insurance companies"}, {"@xml:lang": "fr", "#text": "Primes, sinistres et d\u00e9penses des compagnies d'assurance"}], "common:Description": [{"@xml:lang": "en", "#text": "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."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es pr\u00e9sente certaines des principales variables des op\u00e9rations techniques des compagnies d'assurance. Il comprend le montant des primes brutes souscrites par les compagnies d'assurance, le montant de la r\u00e9assurance accept\u00e9e, les primes c\u00e9d\u00e9es ainsi que les primes nettes souscrites. Cet ensemble de donn\u00e9es fournit \u00e9galement le montant des paiements bruts de sinistres, des d\u00e9penses d'exploitation brutes et des commissions des assureurs. Ces informations sont disponibles par type de propri\u00e9t\u00e9 (entreprises nationales, entreprises sous contr\u00f4le \u00e9tranger et succursales et agences), type d'assurance (vie, non-vie, mixte) et type d'activit\u00e9 d'assurance (activit\u00e9 directe, r\u00e9assurance accept\u00e9e). Il fournit \u00e9galement une r\u00e9partition entre les paiements de primes uniques et r\u00e9guliers, ainsi que la couverture fournie pour les risques nationaux et les risques situ\u00e9s en dehors de la juridiction d\u00e9clarante."}], "structure:Structure": {"Ref": {"@id": "DSD_INS", "@version": "1.0", "@agencyID": "OECD.DAF.CM", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_CARTEL_QDD@DF_QDD_CARTEL", "@agencyID": "OECD.DAF.COMP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "CARTEL_NAME,BID_RIGGING,INDUSTRY,SANCTION_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "JURISDICTION", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "DD_DIM,DD_ID", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DD_DIM=_T", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#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"}, {"@xml:lang": "fr", "#text": "La m\u00e9thodologie de la base de donn\u00e9es CARTEL|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/competition-and-international-co-operation/guide-to-the-oecd-international-cartels-database.pdf"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "DD_DIM", "common:AnnotationType": "DRILLDOWN"}]}, "common:Name": [{"@xml:lang": "en", "#text": "The OECD International Cartels Database (microdata)"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es de l'OCDE sur les cartels internationaux (microdonn\u00e9es)"}], "common:Description": {"@xml:lang": "en", "#text": "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.
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.
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 “fine” in the OECD International Cartels Database indicates the fine imposed by the relevant authority reported in the (first) decision. A “fine after appeal” indicates the fine imposed after a decision on appeal which is publicly released.
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 ICSTATS@oecd.org.
Note: 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.
Other relevant websites:
https://www.oecd.org/competition/
https://www.oecd.org/en/topics/competition-and-international-co-operation.html
https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452
"}, "structure:Structure": {"Ref": {"@id": "DSD_CARTEL_QDD", "@version": "1.0", "@agencyID": "OECD.DAF.COMP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_CEC_QDD@DF_QDD_CEC", "@agencyID": "OECD.DAF.COMP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "INFO", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "JURISDICTION", "common:AnnotationType": "LAYOUT_COLUMN"}]}, "common:Name": [{"@xml:lang": "en", "#text": "The Competition Enforcement Co-operation Database"}, {"@xml:lang": "fr", "#text": "The Competition Enforcement Co-operation Database"}], "common:Description": {"@xml:lang": "en", "#text": "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.
\nIt 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.
\nData 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.
\n5 sets of data are included:
The field “ Questions ” 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.
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 (2021 OECD/ICN Report and Report to Council on the Implementation of the 2014 Recommendation.
The CEC Database is meant to be updated annually and it is open to all 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 here for information).
If your authority wishes to participate in the next update, please contact Antonio.CAPOBIANCO@oecd.org.
\tThe 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.
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.
The use of the OECD International Cartels Database is governed by the Terms and Conditions governing the OECD website, which you can access via the link at the bottom of this webpage.
\tIt 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).
FDI aggregates are measured in USD millions, in millions of national currency and as a share of GDP.
This dataset supports FDI aggregates indicators available from the OECD Data Portal, and also supports the OECD bi-annual publication FDI in Figures.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI aggregates under the previous BMD3 methodology can be accessed in the archived dataset FDI series of BOP and IIP aggregates
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Principaux agr\u00e9gats d'IDE, BMD4 est mis \u00e0 jour chaque trimestre et comprend les flux, positions et revenus d'investissements directs \u00e9trangers (IDE) trimestriels et annuels entrants et sortants, pour les \u00e9conomies d\u00e9clarantes de l'OCDE et pour les pays non-OCDE du G20 (Argentine, Br\u00e9sil, Chine, Inde, Indon\u00e9sie, Arabie Saoudite et Afrique du Sud).Il s\u2019agit d\u2019un ensemble de donn\u00e9es simplifi\u00e9 avec moins de ventilations par rapport aux autres ensembles de donn\u00e9es respectivement d\u00e9di\u00e9s aux flux d\u2019IDE, aux positions d\u2019IDE ou aux agr\u00e9gats de revenus d\u2019IDE. Dans cet ensemble de donn\u00e9es, les statistiques d'IDE sont pr\u00e9sent\u00e9es sur une base directionnelle uniquement (sauf indication contraire, voir les m\u00e9tadonn\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant) et les Entit\u00e9s \u00e0 Vocation Sp\u00e9ciales (EVS) r\u00e9sidentes, lorsqu'elles existent, sont exclues (sauf indication contraire, voir les m\u00e9tadonn\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant).
Les agr\u00e9gats d'IDE sont mesur\u00e9s en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en pourcentage du PIB.
Cet ensemble de donn\u00e9es sous-tend les indicateurs d'IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique disponibles \u00e0 partir du Portail de donn\u00e9es de l'OCDE, et prend \u00e9galement en charge la publication semestrielle de l'OCDE FDI in Figures.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es d'agr\u00e9gats d'IDE selon la pr\u00e9c\u00e9dente m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9 IDE s\u00e9ries agr\u00e9g\u00e9es de BP et PEG
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_CTRY_IND_HIST", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI by counterpart area and by economic activity, BMD4 and historical BMD3"}, {"@xml:lang": "fr", "#text": "Statistiques d'IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique, BMD4 et s\u00e9ries historiques BMD3"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI by counterpart area and by economic activity, BMD4 and historical BMD3 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.For selected countries, breaks in series were removed as there was no significant impact of BMD4 implementation.
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).
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).
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es combine les statistiques d'IDE selon BMD4 avec des s\u00e9ries historiques de statistiques d'IDE selon BMD3.Cet sensemble de donn\u00e9es IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique, BMD4 et s\u00e9ries historiques BMD3 inclut des s\u00e9ries longues de statistiques d\u2019IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique. Cet ensemble de donn\u00e9es utilise les s\u00e9ries BMD4 disponibles combin\u00e9es avec des s\u00e9ries historiques BMD3 (provenant des ensembles de donn\u00e9es d\u2019IDE non r\u00e9vis\u00e9esselon BMD3) jusque 2005 avec indication des coupures de s\u00e9ries.
Dans cet ensemble de donn\u00e9es, les flux, positions et revenus d\u2019IDE entrants et sortants incluent les Entit\u00e9s \u00e0 Vocation Sp\u00e9ciale (EVS) r\u00e9sidentes lorsqu\u2019elles existent (sauf indication contraire, se r\u00e9f\u00e9rer aux m\u00e9tadon\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant); et ils sont allou\u00e9s \u00e0 la zone de contrepartie imm\u00e9diate (sauf indication contraire, se r\u00e9f\u00e9rer aux m\u00e9tadon\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant).
Les statistiques d\u2019IDE entrant et sortant dans cet ensemble de donn\u00e9es sont pr\u00e9sent\u00e9es selon une base directionnelle (sauf indication contraire, se r\u00e9f\u00e9rer aux m\u00e9tadon\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant); elles sont mesure\u00e9s en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en pourcentage du total (pour les donn\u00e9es de positions d\u2019IDE uniquement).
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re d'investissement direct \u00e9tranger (IDE) statistiques :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es concernent d'autres sources telles que les notifications ou les approbations.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_CTRY_IND_SUMM", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=LE_FA_F+T_FA_F+T_D4P_F,UNIT_MEASURE=USD_EXC+RC,COUNTERPART_AREA=W,ACTIVITY=_T,LASTNPERIODS=2,DECIMALS=1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI by counterpart area and by economic activity, BMD4"}, {"@xml:lang": "fr", "#text": "Statistiques d'IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI by counterpart area and by economic activity, BMD4 includes inward and outward Foreign Direct Investment (FDI) flows, positions and income by partner country and by economic activity for OECD reporting economies.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).
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).
This dataset supports FDI indicators by counterpart area and by economic activity available from the OECD Data Portal.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique, BMD4 comprend les flux, les positions et les revenus d\u2019investissements directs \u00e9trangers (IDE) entrants et sortants par pays partenaire et par activit\u00e9 \u00e9conomique les \u00e9conomies d\u00e9clarantes de l\u2019OCDE.Il s'agit d'un ensemble de donn\u00e9es simplifi\u00e9 avec moins de ventilations par rapport aux autres ensembles de donn\u00e9es distinctivement d\u00e9di\u00e9s aux flux d'IDE, aux positions d'IDE ou aux revenus d'IDE par zone de contrepartie ou par activit\u00e9 \u00e9conomique. Dans cet ensemble de donn\u00e9es, les entit\u00e9s \u00e0 vocation sp\u00e9ciales (EVS) r\u00e9sidentes, lorsqu'elles existent, sont exclues (sauf indication contraire, voir les m\u00e9tadonn\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant) ; et les positions d'IDE entrants sont attribu\u00e9es au pays de contrepartie ultime lorsque cette allocation est disponible (voir les m\u00e9tadonn\u00e9es jointes au niveau du pays d\u00e9clarant).
Les statistiques d\u2019IDE entrants et sortants dans cet ensemble de donn\u00e9es sont pr\u00e9sent\u00e9es sur une base directionnelle (sauf indication contraire, voir les m\u00e9tadonn\u00e9es jointes au niveau du pays d\u00e9clarant) ; elles sont mesur\u00e9es en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en part du total (pour les positions d'IDE uniquement).
Cet ensemble de donn\u00e9es sous-tend les indicateurs d'IDE par zone de contrepartie et par activit\u00e9 \u00e9conomique disponibles sur le Portail de donn\u00e9es de l'OCDE.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re d'investissement direct \u00e9tranger ( IDE) statistiques :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es concernent d'autres sources telles que les notifications ou les approbations.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_FLOW_AGGR", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TYPE_ENTITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=T_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI flows main aggregates, BMD4"}, {"@xml:lang": "fr", "#text": "Flux d'IDE - Principaux agr\u00e9gats, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI flows main aggregates, BMD4 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.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.
In this dataset, FDI flows are presented on two different basis:
For more details on the difference between the two presentations, see the OECD note Implementing latest international standards-Asset liability versus directional presentation
FDI flows aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI flows aggregates under the previous BMD3 methodology can be accessed in the archived dataset FDI series of BOP and IIP aggregates
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Principaux agr\u00e9gats des flux d'IDE, BMD4 est mis \u00e0 jour chaque trimestre et comprend les flux d'investissement direct \u00e9tranger (IDE) agr\u00e9g\u00e9s annuels et trimestriels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 (Argentine, Br\u00e9sil, Chine, Inde, Indon\u00e9sie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la balance des paiements (BDP).Les flux d'IDE enregistrent la valeur des transactions transfrontali\u00e8res li\u00e9es \u00e0 l'investissement direct au cours d'une p\u00e9riode de temps donn\u00e9e, g\u00e9n\u00e9ralement un trimestre ou un an, et comprennent les acquisitions ou cessions de participations, le r\u00e9investissement de b\u00e9n\u00e9fices et les pr\u00eats interentreprises.
Dans cet ensemble de donn\u00e9es, les flux d'IDE sont pr\u00e9sent\u00e9s sur deux bases diff\u00e9rentes :
Pour plus de d\u00e9tails sur la diff\u00e9rence entre les deux pr\u00e9sentations, voir la note de l'OCDE Implementing latest international standards-Asset liability versus directional presentation
Les agr\u00e9gats de flux d'IDE dans cet ensemble de donn\u00e9es sont mesur\u00e9s en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en pourcentage du PIB.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 mise en place en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es d'agr\u00e9gats de flux d'IDE selon la pr\u00e9c\u00e9dente m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9 IDE s\u00e9ries agr\u00e9g\u00e9es de BP et PEG
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_FLOW_CTRY", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI flows by counterpart area, BMD4"}, {"@xml:lang": "fr", "#text": "Flux d'IDE par zone de contrepartie, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI flows by counterpart area, BMD4 includes inward and outward Foreign Direct Investment (FDI) flows by partner country for OECD reporting economies: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.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI flows by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset FDI flows by partner country.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Flux d'IDE par zone de contrepartie, BMD4 comprend les investissements directs \u00e9trangers entrants et sortants ( Flux d'IDE) par pays partenaire pour les \u00e9conomies d\u00e9clarantes de l'OCDE :Les flux d'IDE entrants et sortants par pays partenaire sont pr\u00e9sent\u00e9s selon le principe directionnel (sauf indication contraire dans les m\u00e9tadonn\u00e9es attach\u00e9es au niveau du pays d\u00e9clarant) ; ils sont mesur\u00e9s en millions de dollars am\u00e9ricains et en millions de monnaie nationale.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es de flux d'IDE par zone de contrepartie selon l'ancienne m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9Flux d'IDE par pays partenaire.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_FLOW_IND", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FDI_COMP=D,SECTOR=S1,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI flows by economic activity, BMD4"}, {"@xml:lang": "fr", "#text": "Flux d'IDE par activit\u00e9 \u00e9conomique, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI flows by economic activity, BMD4 includes inward and outward Foreign Direct Investment (FDI) flows by economic activity for OECD reporting economies: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.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI flows by economic activity under the previous BMD3 methodology can be accessed in the archived dataset FDI flows by industry.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Flux d'IDE par activit\u00e9 \u00e9conomique, BMD4 comprend les investissements directs \u00e9trangers entrants et sortants ( IDE) par activit\u00e9 \u00e9conomique pour les \u00e9conomies d\u00e9clarantes de l'OCDE :En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es de flux d'IDE par activit\u00e9 \u00e9conomique selon l'ancienne m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9Flux d'IDE par industrie.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_INC_AGGR", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TYPE_ENTITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=T_D4P_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI income main aggregates, BMD4"}, {"@xml:lang": "fr", "#text": "Revenus d'IDE - Principaux agr\u00e9gats, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI income main aggregates, BMD4 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.FDI income record measure the total returns within a given period of time, usually a quarter or a year, on direct investment stocks.
In this dataset, FDI income are presented on two different basis:
For more details on the difference between the two presentations, see the OECD note Implementing latest international standards-Asset liability versus directional presentation
FDI income aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Principaux agr\u00e9gats des revenus d'IDE, BMD4 est mis \u00e0 jour chaque trimestre et comprend les revenus d'investissement direct \u00e9tranger (IDE) agr\u00e9g\u00e9s annuels et trimestriels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 ( Argentine, Br\u00e9sil, Chine, Inde, Indon\u00e9sie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la balance des paiements (BDP).Les revenus d'IDE mesurent les rendements totaux des stocks d'investissement direct \u00e9trangers, sur une p\u00e9riode de temps donn\u00e9e, g\u00e9n\u00e9ralement un trimestre ou un an.
Dans cet ensemble de donn\u00e9es, les revenus d'IDE sont pr\u00e9sent\u00e9s sur deux bases diff\u00e9rentes :
Pour plus de d\u00e9tails sur la diff\u00e9rence entre les deux pr\u00e9sentations, voir la note de l'OCDE Implementing latest international standards-Asset liability versus directional presentation
Les agr\u00e9gats de revenus d'IDE dans cet ensemble de donn\u00e9es sont mesur\u00e9s en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en pourcentage du PIB.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 mise en place en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_INC_CTRY", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI income by counterpart area, BMD4"}, {"@xml:lang": "fr", "#text": "Revenus d'IDE par zone de contrepartie, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI income by counterpart area, BMD4 includes Foreign Direct Investment (FDI) payments and receipts by partner country for OECD reporting economies: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.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Revenus d'IDE par zone de contrepartie, BMD4 inclut les paiements et les recettes d'investissements directs \u00e9trangers (IDE) par pays partenaire pour les \u00e9conomies d\u00e9clarantes de l'OCDE :Les paimenst et recettes de revenus d\u2019IDE (ou les revenus sur les IDE entrants et sortants respectivement) par pays partenaire sont pr\u00e9sent\u00e9s selon le principe directionnel (sauf indication contraire dans les m\u00e9tadonn\u00e9es au niveau du pays) ; ils sont mesur\u00e9s en millions de dollars am\u00e9ricains et en millions de monnaie nationale.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de relations directes avec l'\u00e9tranger. Statistiques d'investissement (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_INC_IND", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACCOUNTING_ENTRY=NET_FDI,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI income by economic activity, BMD4"}, {"@xml:lang": "fr", "#text": "Revenus d'IDE par activit\u00e9 \u00e9conomique, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI income by economic activity, BMD4 includes Foreign Direct Investment (FDI) payments and receipts by economic activity for OECD reporting economies: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.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Revenus d'IDE par activit\u00e9 \u00e9conomique, BMD4 inclut les paiements et les recettes d'investissements directs \u00e9trangers (IDE) par activit\u00e9 \u00e9conomique pour les \u00e9conomies d\u00e9clarantes de l'OCDE :En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de relations directes avec l'\u00e9tranger. Statistiques d'investissement (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_POS_AGGR", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TYPE_ENTITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=LE_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,FREQ=A,LASTNPERIODS=2", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI positions main aggregates, BMD4"}, {"@xml:lang": "fr", "#text": "Positions d'IDE - Principaux agr\u00e9gats, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI positions main aggregates, BMD4 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.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.
In this dataset, FDI positions are presented on two different basis:
For more details on the difference between the two presentations, see the OECD note Implementing latest international standards-Asset liability versus directional presentation
FDI positions aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI positions aggregates under the previous BMD3 methodology can be accessed in the archived dataset FDI series of BOP and IIP aggregates
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Principaux agr\u00e9gats des positions d'IDE, BMD4 est mis \u00e0 jour chaque trimestre et comprend les positions d'investissement direct \u00e9tranger (IDE) agr\u00e9g\u00e9s annuels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 ( Argentine, Br\u00e9sil, Chine, Inde, Indon\u00e9sie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la position ext\u00e9rieure globale (PEG).Les positions d'IDE enregistrent le niveau total des investissements directs \u00e0 un moment donn\u00e9, g\u00e9n\u00e9ralement \u00e0 la fin d'un trimestre ou d'une ann\u00e9e.
Dans cet ensemble de donn\u00e9es, les positions d'IDE sont pr\u00e9sent\u00e9s sur deux bases diff\u00e9rentes :
Pour plus de d\u00e9tails sur la diff\u00e9rence entre les deux pr\u00e9sentations, voir la note de l'OCDE Implementing latest international standards-Asset liability versus directional presentation
Les agr\u00e9gats de positions d'IDE dans cet ensemble de donn\u00e9es sont mesur\u00e9s en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en pourcentage du PIB.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 mise en place en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es d'agr\u00e9gats de positions d'IDE selon la pr\u00e9c\u00e9dente m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9 IDE s\u00e9ries agr\u00e9g\u00e9es de BP et PEG
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_POS_CTRY", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,LEVEL_COUNTERPART,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI positions by counterpart area, BMD4"}, {"@xml:lang": "fr", "#text": "Positions d'IDE par zone de contrepartie, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI positions by counterpart area, BMD4 includes inward and outward Foreign Direct Investment (FDI) positions by partner country for OECD reporting economies: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.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI positions by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset FDI positions by partner country.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Positions d'IDE par zone de contrepartie, BMD4 inclut les investissements directs \u00e9trangers entrants et sortants ( Positions d'IDE) par pays partenaire pour les \u00e9conomies d\u00e9clarantes de l'OCDE :Les positions d'IDE entrants et sortants par pays partenaire sont pr\u00e9sent\u00e9es selon le principe directionnel (sauf indication contraire dans les m\u00e9tadonn\u00e9es attach\u00e9es au niveau du pays); elles sont mesur\u00e9es en millions de dollars am\u00e9ricains, en millions de monnaie nationale et en pourcentage du total des positions d'IDE.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 publi\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es de positions d'IDE par zone de contrepartie selon l'ancienne m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9Positions d'IDE par pays partenaire.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDI@DF_FDI_POS_IND", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI positions by economic activity, BMD4"}, {"@xml:lang": "fr", "#text": "Positions d'IDE par activit\u00e9 \u00e9conomique, BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset FDI positions by economic activity, BMD4 includes inward and outward Foreign Direct Investment (FDI) positions by economic activity according to ISIC4 for OECD reporting economies: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.
In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:
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\u2019s BPM6 and the OECD\u2019s BMD4. However, some of the data relate to other sources such as notifications or approvals.
Historical and unrevised series of FDI positions by economic activity under the previous BMD3 methodology can be accessed in the archived dataset FDI positions by industry.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es Positions d'IDE par activit\u00e9 \u00e9conomique, BMD4 comprend les investissements directs \u00e9trangers entrants et sortants ( Positions d'IDE) par activit\u00e9 \u00e9conomique selon la CITI4 pour les \u00e9conomies d\u00e9clarantes de l'OCDE :Les positions d'IDE entrants et sortants par activit\u00e9 \u00e9conomique sont pr\u00e9sent\u00e9es selon le principe directionnel (sauf indication contraire dans les m\u00e9tadonn\u00e9es au niveau du pays) ; ils sont mesur\u00e9s en millions de dollars am\u00e9ricains, en milloins de monnaie nationale et en proportion du total des positions d\u2019IDE. Une classification crois\u00e9e des positions d'IDE entrants et sortants par grandes sections de la CITI4 et par principaux agr\u00e9gats g\u00e9ographiques est \u00e9galement disponible pour certaines \u00e9conomies d\u00e9clarantes de l'OCDE.
En 2014, de nombreux pays ont mis en \u0153uvre les derni\u00e8res normes internationales en mati\u00e8re de statistiques sur les investissements directs \u00e9trangers (IDE) :
Cette base de donn\u00e9es de l'OCDE a \u00e9t\u00e9 lanc\u00e9e en mars 2015 et comprend les s\u00e9ries de donn\u00e9es rapport\u00e9es par les experts nationaux selon BMD4. Les donn\u00e9es sont pour l\u2019essentiel bas\u00e9es sur les statistiques de balance des paiements publi\u00e9es par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l\u2019OCDE. Cependant, certaines donn\u00e9es se rapportent \u00e0 d'autres sources telles que les notifications ou les approbations.
Les s\u00e9ries historiques et non r\u00e9vis\u00e9es de positions d'IDE par activit\u00e9 \u00e9conomique selon l'ancienne m\u00e9thodologie BMD3 sont accessibles dans l'ensemble de donn\u00e9es archiv\u00e9Positions d'IDE par industrie.
"}], "structure:Structure": {"Ref": {"@id": "DSD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"common:AnnotationTitle": "V2/structure/dataflow/,/DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES/latest", "common:AnnotationType": "RELATED_DATA"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SECTOR_FDIRRI,POL_CAT,MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "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", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR_FDIRRI:OECD.DAF.INV:HCL_SECTOR_FDIRRI(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "OECD FDI Regulatory Restrictiveness Index - Regulatory Database (beta)"}, {"@xml:lang": "fr", "#text": "L'Indice de l'OCDE de restrictivit\u00e9 de la r\u00e9glementation de l'IDE - Base de donn\u00e9es r\u00e9glementaire"}], "common:Description": [{"@xml:lang": "en", "#text": "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 OECD FDI Regulatory Restrictiveness Index - Scores database.\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.Please refer to the FDIRRI webpage for further details on the methodology.
"}, {"@xml:lang": "fr", "#text": "L'indice de restrictivit\u00e9 r\u00e9glementaire de l'IDE de l'OCDE (FDIRRI) - Base de donn\u00e9es r\u00e9glementaire fournit des informations sur toutes les mesures r\u00e9glementaires sous-jacentes \u00e0 l'indice FDIRRI, y compris des extraits de l\u00e9gislation cl\u00e9, des commentaires explicatifs, des sources et des liens. La Base de donn\u00e9es r\u00e9glementaire pr\u00e9sente \u00e9galement les scores associ\u00e9s \u00e0 chaque mesure r\u00e9glementaire individuelle. Veuillez noter, cependant, que ceux-ci ne repr\u00e9sentent pas des scores au niveau sectoriel ou \u00e9conomique. Notez \u00e9galement que les mesures horizontales enregistr\u00e9es dans la base de donn\u00e9es peuvent ne pas s'appliquer \u00e0 tous les secteurs ou sous-secteurs et peuvent parfois chevaucher d'autres mesures sp\u00e9cifiques \u00e0 un secteur (entr\u00e9es de la base de donn\u00e9es). Le chevauchement des entr\u00e9es horizontales et sp\u00e9cifiques \u00e0 un secteur n'affecte pas les scores du FDIRRI, c'est-\u00e0-dire qu'il n'entra\u00eene pas de double comptage. Pour les comparaisons entre pays, les utilisateurs doivent se r\u00e9f\u00e9rer \u00e0 la base de donn\u00e9es des scores de l'indice de restrictivit\u00e9 r\u00e9glementaire de l'IDE de l'OCDE.\nL'indice FDIRRI de l'OCDE est un outil fond\u00e9 sur les politiques, con\u00e7u pour mesurer les restrictions statutaires sur l'investissement direct \u00e9tranger (IDE) dans les diff\u00e9rents pays et au fil du temps. Cr\u00e9\u00e9 pour la premi\u00e8re fois en 2003 et r\u00e9vis\u00e9 pour la derni\u00e8re fois en 2022, le FDIRRI sert de r\u00e9f\u00e9rence pour \u00e9valuer l'acc\u00e8s aux march\u00e9s et d'autres obstacles r\u00e9glementaires \u00e0 l'IDE, tout en fournissant un moyen de suivre et de promouvoir les r\u00e9formes de politiques d'IDE. Le FDIRRI \u00e9value les restrictions r\u00e9glementaires dans 22 secteurs \u00e9conomiques, r\u00e9partis en quatre domaines de politique : limites de participation \u00e9trang\u00e8re, examen et approbation, restrictions sur le personnel cl\u00e9 \u00e9tranger, et autres restrictions. Seules les mesures statutaires qui discriminent les investisseurs \u00e9trangers, ou qui sont jug\u00e9es particuli\u00e8rement plus contraignantes pour ces derniers, sont comptabilis\u00e9es comme restrictions. D'autres aspects importants de l'environnement d'investissement (par exemple, la transparence r\u00e9glementaire, les monopoles d'\u00c9tat et tout traitement pr\u00e9f\u00e9rentiel pour des investisseurs sp\u00e9cifiques, tels que ceux couverts par des trait\u00e9s ou situ\u00e9s dans des zones \u00e9conomiques sp\u00e9ciales) ne sont pas pris en compte. Chaque mesure de politique est not\u00e9e sur une \u00e9chelle de 0 (enti\u00e8rement ouvert \u00e0 l'IDE) \u00e0 1 (enti\u00e8rement ferm\u00e9), les scores sectoriels refl\u00e9tant la somme de toutes les cat\u00e9gories de politiques, plafonn\u00e9e \u00e0 1. Des pond\u00e9rations sectorielles standards sont appliqu\u00e9es de mani\u00e8re coh\u00e9rente dans tous les pays et au fil du temps pour refl\u00e9ter les diff\u00e9rences dans la signification \u00e9conomique des secteurs, garantissant que toute variation des scores entre pays soit attribu\u00e9e \u00e0 des diff\u00e9rences de politique. Les donn\u00e9es refl\u00e8tent les restrictions r\u00e9glementaires en vigueur fin d\u00e9cembre. Veuillez consulter la page FDIRRI pour plus de d\u00e9tails sur la m\u00e9thodologie."}], "structure:Structure": {"Ref": {"@id": "DSD_FDIRRI_REG_DATABASE", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"common:AnnotationTitle": "V2/structure/dataflow/,/DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE/latest", "common:AnnotationType": "RELATED_DATA"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SECTOR_FDIRRI", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,POL_CAT", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SAF,EU_EX,LEG_PROV,COMMENT,OFF_SOURCES,OTH_SOURCES,LINK_SOURCES,MEASURE_STATUS,MEASURE_ID_FDIRRI,OBS_STATUS=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=ALL,LASTNPERIODS=1,SECTOR_FDIRRI=_T,POL_CAT=ALL", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR_FDIRRI:OECD.DAF.INV:HCL_SECTOR_FDIRRI(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "OECD FDI Regulatory Restrictiveness Index - Scores (beta)"}, {"@xml:lang": "fr", "#text": "L'Indice de l'OCDE de restrictivit\u00e9 de la r\u00e9glementation de l'IDE - Scores"}], "common:Description": [{"@xml:lang": "en", "#text": "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.Please refer to the FDIRRI webpage for further details on the methodology.
"}, {"@xml:lang": "fr", "#text": "L'Indice de l'OCDE de restrictivit\u00e9 de la r\u00e9glementation de l'IDE (FDIRRI) est un outil con\u00e7u pour mesurer les restrictions statutaires \u00e0 l'investissement direct \u00e9tranger (IDE) dans les diff\u00e9rents pays et au fil du temps. \u00c9tabli en 2003 et r\u00e9vis\u00e9 pour la derni\u00e8re fois en 2022, l'indice FDIRRI sert de r\u00e9f\u00e9rence pour \u00e9valuer l'acc\u00e8s au march\u00e9 et les autres obstacles r\u00e9glementaires \u00e0 l'IDE, tout en fournissant un moyen de suivre et de promouvoir les r\u00e9formes des politiques d'IDE. Le FDIRRI \u00e9value les barri\u00e8res r\u00e9glementaires dans 22 secteurs \u00e9conomiques, r\u00e9partis en quatre cat\u00e9gories de restrictions : les limites de participation \u00e9trang\u00e8re, la filtrage et l'approbation de l'IDE, les restrictions sur le personnel \u00e9tranger cl\u00e9, et d'autres restrictions. Seules les mesures statutaires discriminatoires \u00e0 l'\u00e9gard des investisseurs \u00e9trangers ou jug\u00e9es particuli\u00e8rement contraignantes pour ces derniers sont consid\u00e9r\u00e9es comme des restrictions. D'autres aspects importants du climat d'investissement (par exemple la transparence des r\u00e9glementations, les monopoles d'\u00c9tat et tout traitement pr\u00e9f\u00e9rentiel accord\u00e9 de mani\u00e8re selective \u00e0 certains investisseurs, par exemple les investisseurs couverts par un trait\u00e9 et les investisseurs dans les zones \u00e9conomiques sp\u00e9ciales) ne sont pas pris en compte. Chaque mesure r\u00e9glementaire est not\u00e9e sur une \u00e9chelle de 0 (totalement ouvert aux IDE) \u00e0 1 (totalement ferm\u00e9), les scores sectoriels refl\u00e9tant la somme des scores de toutes les cat\u00e9gories de restrictions, plafonn\u00e9e \u00e0 1. Des pond\u00e9rations sectorielles standard sont appliqu\u00e9es de mani\u00e8re coh\u00e9rente entre les pays et au fil du temps pour refl\u00e9ter les diff\u00e9rences g\u00e9n\u00e9rales dans l'importance \u00e9conomique des secteurs, tout en garantissant que les variations de scores entre les pays sont attribu\u00e9es aux diff\u00e9rences de politiques appliqu\u00e9. Les donn\u00e9es refl\u00e8tent les restrictions r\u00e9glementaires \u00e0 la fin du mois de d\u00e9cembre. Pour plus d'informations sur la m\u00e9thodologie, veuillez consulter la page web du FDIRRI."}], "structure:Structure": {"Ref": {"@id": "DSD_FDIRRI_SCORES", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_QDD_FDI@DF_FDI_BMD4", "@agencyID": "OECD.DAF.INV", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=IRL", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE:OECD.DAF.INV:HCL_MEASURE_QDD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "FDI statistics metadata, BMD4"}, {"@xml:lang": "fr", "#text": "Statistiques d'IDE, m\u00e9tadonn\u00e9es selon BMD4"}], "common:Description": [{"@xml:lang": "en", "#text": "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.The FDI according to BMD4 metadata database includes a list of 80 questions, organised in nine main sections:
\nFor any questions, you can contact investment@oecd.org.
"}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es qualitatives concernant les statistiques d'IDE selon la 4\u00e8me \u00e9dition de la D\u00e9finition de R\u00e9f\u00e9rence de l'OCDE pour les statistiques d'investissement direct international (BMD4) comprend, pour les pays de l'OCDE, des informations relatives \u00e0 la m\u00e9thodologie et aux pratiques sous-tendant les statistiques d'IDE par pays partenaire et par secteur, publi\u00e9es par l'OCDE dans la base de donn\u00e9es sur les statistiques d'IDE selon BMD4.Cette base de m\u00e9tadonn\u00e9es comprend une liste de 80 questions, organis\u00e9es en neuf sections principales :
\nPour toute question, vous pouvez contacter investment@oecd.org.
"}], "structure:Structure": {"Ref": {"@id": "DSD_QDD_FDI", "@version": "1.0", "@agencyID": "OECD.DAF.INV", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_CRS@DF_CRS", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_CRS@DF_CRS/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "0.95", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS-README|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=aa82b330-f4e5-4230-ba0c-fd3441bb80bb"}, {"@xml:lang": "fr", "#text": "SNPC-LISEZMOI|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1f810df1-0d75-4b53-b7f9-b19c1ee90663"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS-Parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9"}, {"@xml:lang": "fr", "#text": "SNPC-parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS-reduced-parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577"}, {"@xml:lang": "fr", "#text": "SNPC-parquet-r\u00e9duit-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2023 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c"}, {"@xml:lang": "fr", "#text": "SNPC 2023 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2022 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534"}, {"@xml:lang": "fr", "#text": "SNPC 2022 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2021 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259"}, {"@xml:lang": "fr", "#text": "SNPC 2021 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2020 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5"}, {"@xml:lang": "fr", "#text": "SNPC 2020 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2019 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd"}, {"@xml:lang": "fr", "#text": "SNPC 2019 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2018 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657"}, {"@xml:lang": "fr", "#text": "SNPC 2018 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2017 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de"}, {"@xml:lang": "fr", "#text": "SNPC 2017 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2016 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f"}, {"@xml:lang": "fr", "#text": "SNPC 2016 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2015 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2"}, {"@xml:lang": "fr", "#text": "SNPC 2015 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2014 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba"}, {"@xml:lang": "fr", "#text": "SNPC 2014 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2013 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d"}, {"@xml:lang": "fr", "#text": "SNPC 2013 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2012 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8"}, {"@xml:lang": "fr", "#text": "SNPC 2012 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2011 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b"}, {"@xml:lang": "fr", "#text": "SNPC 2011 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2010 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136"}, {"@xml:lang": "fr", "#text": "SNPC 2010 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2009 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58"}, {"@xml:lang": "fr", "#text": "SNPC 2009 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2008 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a"}, {"@xml:lang": "fr", "#text": "SNPC 2008 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2007 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f"}, {"@xml:lang": "fr", "#text": "SNPC 2007 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2006 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d"}, {"@xml:lang": "fr", "#text": "SNPC 2006 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2004-05 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28"}, {"@xml:lang": "fr", "#text": "SNPC 2004-05 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2002-03 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2"}, {"@xml:lang": "fr", "#text": "SNPC 2002-03 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2000-01 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625"}, {"@xml:lang": "fr", "#text": "SNPC 2000-01 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 1995-99 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2"}, {"@xml:lang": "fr", "#text": "SNPC 1995-99 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 1973-94 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1"}, {"@xml:lang": "fr", "#text": "SNPC 1973-94 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "CRS: Creditor Reporting System (flows)"}, {"@xml:lang": "fr", "#text": "SNPC: Syst\u00e8me de notification des pays cr\u00e9anciers (flux)"}], "common:Description": [{"@xml:lang": "en", "#text": "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 Converged Statistical Reporting Directives.
"}, {"@xml:lang": "fr", "#text": "L'objectif de la base de donn\u00e9es du SNPC sur les activit\u00e9s d'aide est de fournir un ensemble de donn\u00e9es granulaires permettant d'analyser la destination de l'aide, ses objectifs et les politiques qu'elle vise \u00e0 mettre en \u0153uvre, sur une base comparable pour tous les fournisseurs qui notifient leurs statistiques au niveau des activit\u00e9s \u00e0 l'OCDE. Les donn\u00e9es sont collect\u00e9es sur des projets et des programmes individuels, avec une s\u00e9rie d'attributs pour chaque activit\u00e9. De plus amples informations sur la d\u00e9finition et les valeurs possibles de chaque attribut sont disponibles dans les Directives converg\u00e9es pour l\u2019\u00e9tablissement des rapports statistiques.
"}]}, {"@id": "DSD_CRS@DF_CRS", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_CRS@DF_CRS/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.85", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.3).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.3).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS-README|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=aa82b330-f4e5-4230-ba0c-fd3441bb80bb"}, {"@xml:lang": "fr", "#text": "SNPC-LISEZMOI|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1f810df1-0d75-4b53-b7f9-b19c1ee90663"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS-Parquet-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9"}, {"@xml:lang": "fr", "#text": "SNPC-parquet-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS-reduced-parquet-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577"}, {"@xml:lang": "fr", "#text": "SNPC-parquet-r\u00e9duit-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2023 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c"}, {"@xml:lang": "fr", "#text": "SNPC 2023 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2022 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534"}, {"@xml:lang": "fr", "#text": "SNPC 2022 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2021 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259"}, {"@xml:lang": "fr", "#text": "SNPC 2021 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2020 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5"}, {"@xml:lang": "fr", "#text": "SNPC 2020 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2019 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd"}, {"@xml:lang": "fr", "#text": "SNPC 2019 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2018 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657"}, {"@xml:lang": "fr", "#text": "SNPC 2018 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2017 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de"}, {"@xml:lang": "fr", "#text": "SNPC 2017 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2016 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f"}, {"@xml:lang": "fr", "#text": "SNPC 2016 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2015 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2"}, {"@xml:lang": "fr", "#text": "SNPC 2015 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2014 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba"}, {"@xml:lang": "fr", "#text": "SNPC 2014 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2013 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d"}, {"@xml:lang": "fr", "#text": "SNPC 2013 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2012 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8"}, {"@xml:lang": "fr", "#text": "SNPC 2012 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2011 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b"}, {"@xml:lang": "fr", "#text": "SNPC 2011 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2010 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136"}, {"@xml:lang": "fr", "#text": "SNPC 2010 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2009 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58"}, {"@xml:lang": "fr", "#text": "SNPC 2009 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2008 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a"}, {"@xml:lang": "fr", "#text": "SNPC 2008 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2007 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f"}, {"@xml:lang": "fr", "#text": "SNPC 2007 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2006 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d"}, {"@xml:lang": "fr", "#text": "SNPC 2006 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2004-05 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28"}, {"@xml:lang": "fr", "#text": "SNPC 2004-05 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2002-03 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2"}, {"@xml:lang": "fr", "#text": "SNPC 2002-03 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 2000-01 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625"}, {"@xml:lang": "fr", "#text": "SNPC 2000-01 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 1995-99 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2"}, {"@xml:lang": "fr", "#text": "SNPC 1995-99 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "CRS 1973-94 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1"}, {"@xml:lang": "fr", "#text": "SNPC 1973-94 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "CRS: Creditor Reporting System (flows)"}, {"@xml:lang": "fr", "#text": "SNPC: Syst\u00e8me de notification des pays cr\u00e9anciers (flux)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides readily available, granular data on who is giving what aid, to where, and for what purpose, on a flow basis. These data are comparable across all providers who report their activity-level statistics to the OECD.
Please consult our database of development finance classifications for further information on all possible codes for each attribute.
Users of the \"related files\", which contain the raw data by year (or altogether in .parquet format), may find descriptions of each column on the sheet \"CRS bulk data \u2013 codebook\" of this Excel file.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des donn\u00e9es granulaires facilement accessibles sur qui donne quelle aide, \u00e0 quel pays et dans quel objectif, sur la base des flux. Ces donn\u00e9es sont comparables entre tous les fournisseurs qui notifient leurs statistiques au niveau d'activit\u00e9 \u00e0 l'OCDE.
Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Les utilisateurs des \u00ab fichiers connexes \u00bb, qui contiennent les donn\u00e9es brutes par ann\u00e9e (ou dans leur ensemble au format .parquet), peuvent trouver des descriptions de chaque colonne sur la feuille \u00ab CRS bulk data - codebook \u00bb dans ce fichier Excel.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_CRS@DF_CRS_CPA", "@agencyID": "OECD.DCD.FSD", "@version": "1.1", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_CRS@DF_CRS_CPA/1.1", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=250,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Country Programmable Aid (CPA v1)"}, {"@xml:lang": "fr", "#text": "Aide programmable par pays (APP v1)"}], "common:Description": [{"@xml:lang": "en", "#text": "This is version 1 of the new methodology for CPA (based on CRS data)."}, {"@xml:lang": "fr", "#text": "Ceci est la version 1 de la nouvelle methodologie de l'APP, donn\u00e9es bas\u00e9 sur ceux du SNPC."}]}, {"@id": "DSD_CRS@DF_CRS_CPA", "@agencyID": "OECD.DCD.FSD", "@version": "1.2", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_CRS@DF_CRS_CPA/1.2", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=250,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Country Programmable Aid (CPA v1)"}, {"@xml:lang": "fr", "#text": "SNPC: Aide programmable par pays (APP v1)"}], "common:Description": [{"@xml:lang": "en", "#text": "Country Programmable Aid (CPA) refers to official development assistance (ODA) that is subject to multi-year planning at the country or regional level. The OECD has published data on CPA at the aggregate level (provider-partner country) since 2007.
This data represents an update to the measurement of CPA. The main improvement is that this version is derived entirely from the OECD's aid activity database, the Creditor Reporting System (CRS). CPA is calculated by subtracting the following categories of aid from the total of gross bilateral ODA (category = 10):
This measurement is an improvement from the previous CPA measure, which was derived from a combination of the OECD's aggregate aid tables and the CRS, resulting in an aggregate (provider-partner country) perspective on CPA. The result of the new measure is an activity-level perspective on CPA that provides much greater transparency on its composition and thereby allows users to conduct more granular analysis (e.g., by sector, channel, modality, etc.) on who is giving CPA where, how, and for what purpose. The measure is also therefore more replicable to users.
This DataFlow is a \"version 1\" of the updated CPA measure. The OECD welcomes feedback from users on the construction of the measure and its usability for analysis and advocacy. In early 2025, following further user consultation, the OECD will re-publish a \"final\" version of the updated measure, which will be published annually moving forward. Please contact dac.contact@oecd.org with any questions or suggestions.
"}, {"@xml:lang": "fr", "#text": "L'aide programmable par pays (APP) d\u00e9signe l'aide publique au d\u00e9veloppement (APD) qui fait l'objet d'une planification pluriannuelle au niveau national ou r\u00e9gional. L'OCDE publie des donn\u00e9es sur l'APP au niveau agr\u00e9g\u00e9 (pays fournisseur-partenaire) depuis 2007.
Ces donn\u00e9es repr\u00e9sentent une mise \u00e0 jour de la mesure de l'APP. La principale am\u00e9lioration est que cette version est enti\u00e8rement d\u00e9riv\u00e9e de la base de donn\u00e9es de l'OCDE sur les activit\u00e9s d'aide, le syst\u00e8me de notification des pays cr\u00e9anciers (SNPC). L'APP est calcul\u00e9e en soustrayant les cat\u00e9gories d'aide suivantes du total de l'APD bilat\u00e9rale brute (cat\u00e9gorie = 10) :
Cette mesure est une am\u00e9lioration par rapport \u00e0 la mesure pr\u00e9c\u00e9dente de l'APP, qui \u00e9tait d\u00e9riv\u00e9e d'une combinaison des tableaux agr\u00e9g\u00e9s de l'aide de l'OCDE et du SNPC, ce qui donnait une perspective agr\u00e9g\u00e9e (pays fournisseur-partenaire) de l'APP. Le r\u00e9sultat de la nouvelle mesure est une perspective de l'APP au niveau de l'activit\u00e9 qui offre une bien plus grande transparence sur sa composition et permet ainsi aux utilisateurs d'effectuer une analyse plus granulaire (par exemple, par secteur, canal, modalit\u00e9, etc.) sur qui donne l'APP, o\u00f9, comment et dans quel but. La mesure est donc \u00e9galement plus facile \u00e0 reproduire pour les utilisateurs.
Ces donn\u00e9es constituent la \u00ab version 1 \u00bb de la mesure actualis\u00e9e de l'APP. L'OCDE invite les utilisateurs \u00e0 lui faire part de leurs commentaires sur l'\u00e9laboration de la mesure et son utilisation \u00e0 des fins d'analyse et de plaidoyer. Au d\u00e9but de l'ann\u00e9e 2025, apr\u00e8s une nouvelle consultation des utilisateurs, l'OCDE publiera \u00e0 nouveau une version \u00ab finale \u00bb de la mesure actualis\u00e9e, qui sera ensuite publi\u00e9e chaque ann\u00e9e. Veuillez contacter dac.contact@oecd.org pour toute question ou suggestion.
"}]}, {"@id": "DSD_DAC1@DF_DAC1", "@agencyID": "OECD.DCD.FSD", "@version": "1.5", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1.001", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS,TYING_STATUS,SECTOR", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR=DAC,FLOW_TYPE=1160,PRICE_BASE=V+Q,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC1 full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=570b240e-df9c-4586-b53d-99946fac437d"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD1 (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=570b240e-df9c-4586-b53d-99946fac437d"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC1: Flows by provider (ODA+OOF+Private)"}, {"@xml:lang": "fr", "#text": "CAD1: Flux par fournisseur (APD+AASP+priv\u00e9)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides main aggregates of DAC members' and other provider countries' official development assistance (ODA) flows and grant equivalents, as well as other resource flows to developing countries.
To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les principaux agr\u00e9gats des flux d'aide publique au d\u00e9veloppement (APD) et des \u00e9quivalents-dons des membres du CAD et d'autres pays fournisseurs, ainsi que d'autres flux de ressources vers les pays en d\u00e9veloppement.
Pour faciliter la transition entre les syst\u00e8mes, nous fournissons une correspondance des codes entre OECD.Stat (ancien syst\u00e8me) et OECD Data Explorer. Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC1", "@version": "1.5", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC1@DF_DAC5", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "SECTOR", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS,TYING_STATUS,FLOW_TYPE=_Z,SECTOR=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR=ALLD,MEASURE=528,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC5 full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD5 (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC5: Aid (ODA) by sector and provider"}, {"@xml:lang": "fr", "#text": "CAD5: Aide (APD) par secteur et par fournisseur"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides aggregate statistics on the sectoral destination of bilateral official development assistance (ODA) flows and other official flows (OOF), excluding officially-supported export credits.
To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques agr\u00e9g\u00e9es sur la destination sectorielle des flux bilat\u00e9raux d'aide publique au d\u00e9veloppement (APD) et des autres flux officiels (OOF), \u00e0 l'exclusion des cr\u00e9dits \u00e0 l'exportation b\u00e9n\u00e9ficiant d'un soutien public.
Pour faciliter la transition entre les syst\u00e8mes, nous fournissons une correspondance des codes entre OECD.Stat (ancien syst\u00e8me) et OECD Data Explorer. Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC1", "@version": "1.5", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC1@DF_DAC7B", "@agencyID": "OECD.DCD.FSD", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TYING_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS,FLOW_TYPE=_Z,SECTOR=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR=ALLD+DAC+ALLM,MEASURE=74,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC7B full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b23e4a6a-2bb9-425e-b997-a2d1c28b33d1"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD7B (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b23e4a6a-2bb9-425e-b997-a2d1c28b33d1"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC7B: Aid (ODA) tying status"}, {"@xml:lang": "fr", "#text": "DAC7B: Degr\u00e9 de liaison d'aide (APD)"}], "common:Description": [{"@xml:lang": "en", "#text": "Table DAC 7b is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items should therefore not be included in the data reported in this table."}, {"@xml:lang": "fr", "#text": "Ce tableau vise \u00e0 recueillir des informations sur le degr\u00e9 de liaison des engagements bilat\u00e9raux d'APD. Les Membres ont convenu d\u2019ignorer les co\u00fbts administratifs et les d\u00e9penses de coop\u00e9ration technique dans l\u2019\u00e9valuation du pourcentage de l\u2019aide qui est respectivement, li\u00e9e, partiellement d\u00e9li\u00e9e et non li\u00e9e. Par cons\u00e9quent, ces deux \u00e9l\u00e9ments ne seront pas pris en compte dans les donn\u00e9es fournies dans ce tableau."}], "structure:Structure": {"Ref": {"@id": "DSD_DAC1", "@version": "1.2", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_CPA", "@agencyID": "OECD.DCD.FSD", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT=DPGC,MEASURE=245,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=10", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.0).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Country programmable aid (CPA)"}, {"@xml:lang": "fr", "#text": "Aide programmable par pays (APP)"}], "common:Description": [{"@xml:lang": "en", "#text": "CPA is the proportion of aid that is subjected to multi-year programming at country level, and hence represent a subset of ODA outflows. It takes as a starting point data on gross ODA disbursements by recipient but excludes spending which is: 1. inherently unpredictable (humanitarian aid and debt relief); or 2. entails no flows to the recipient country (administration costs, student costs, development awareness and research and refugee spending in donor countries); or 3. is usually not discussed between the main donor agency and recipient governments (food aid, aid from local governments, core funding to NGOs, aid through secondary agencies, ODA equity investments and aid which is not allocable by country); 4. CPA does not net out loan repayments, as these are not usually factored into aid allocation decisions. CPA is therefore a gross concept.
"}, {"@xml:lang": "fr", "#text": "L'APP est la proportion d'aide soumise \u00e0 une programmation pluriannuelle au niveau des pays et ainsi repr\u00e9sente une sous-cat\u00e9gorie des flux d'APD. Elle prend, comme point de d\u00e9part, les donn\u00e9es sur les versements bruts APD par b\u00e9n\u00e9ficiaire mais d\u00e9duit les d\u00e9penses qui: 1. sont impr\u00e9visibles par nature (aide humanitaire et all\u00e8gement de dette) ; 2. n'entra\u00eenent pas de flux transfrontaliers (frais administratifs, co\u00fbts imput\u00e9s des \u00e9tudiants, sensibilisation aux questions de d\u00e9veloppement, recherche, et r\u00e9fugi\u00e9s dans les pays donneurs) ; 3. ne s'inscrivent pas dans le cadre d'accords de coop\u00e9ration entre l'agence principale d'aide et les gouvernements des pays receveurs d'aide (aide alimentaire, aide des collectivit\u00e9s locales des pays donateurs et contributions au budget central des ONG) ; 4. L'APP ne prend pas en compte les remboursements des pr\u00eats car ils ne sont pas habituellement pris en compte dans les d\u00e9cisions d'affectation d'aide. L'APP est ainsi un concept brut.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.1", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_DAC2A", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT=DPGC,MEASURE=206,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC2A full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=87917fc3-d015-4c13-8605-dfcf5211802f"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD2A (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=87917fc3-d015-4c13-8605-dfcf5211802f"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC2A: Aid (ODA) disbursements to countries and regions"}, {"@xml:lang": "fr", "#text": "CAD2A: Versements d'aide (APD) vers les pays et r\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral disbursements of official development assistance (ODA) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible. These data are presented by provider and partner country. Data disaggregated by some types of aid (e.g., grants, loans, and technical co-operation) or flows from philanthropic foundations are also available.
To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques agr\u00e9g\u00e9es sur la r\u00e9partition g\u00e9ographique des versements bilat\u00e9raux et multilat\u00e9raux d'aide publique au d\u00e9veloppement (APD) aux pays et territoires en d\u00e9veloppement figurant sur la liste des b\u00e9n\u00e9ficiaires de l'APD du CAD et aux agences multilat\u00e9rales \u00e9ligibles \u00e0 l'APD. Ces donn\u00e9es sont pr\u00e9sent\u00e9es par fournisseur et par pays partenaire. Des donn\u00e9es ventil\u00e9es selon certains types d'aide (par exemple, les dons, les pr\u00eats et la coop\u00e9ration technique) ou les flux provenant de fondations philanthropiques sont \u00e9galement disponibles.
Pour faciliter la transition entre les syst\u00e8mes, nous fournissons une correspondance des codes entre OECD.Stat (ancien syst\u00e8me) et OECD Data Explorer. Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_DAC2B", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT=DPGC,DONOR=DAC+AUS+AUT+BEL+CAN+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ITA+JPN+KOR+LVA+LTU+LUX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+GBR+USA,PRICE_BASE=Q,UNIT_MEASURE=USD", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC2B full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3d2c855-9096-4f2e-ada4-222336946ad0"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD2B (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3d2c855-9096-4f2e-ada4-222336946ad0"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC2B: Other official flows (OOF) and export credits"}, {"@xml:lang": "fr", "#text": "CAD2B: Autres apports du secteur public (AASP) et cr\u00e9dits \u00e0 l'exportation"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral disbursements of other official flows (OOF) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible, including private sector instruments and officially-supported export credits.
OOF (excluding export credits) are transactions that do not meet the conditions for eligibility as ODA, either because they are not primarily aimed at development, or they are not sufficiently concessional. Further information on the criteria for OOF are available in Chapter 1 of the Converged Statistical Reporting Directives. Officially supported export credits are extended by government-owned or -controlled specialised export-financing agencies or institutions for commercial purposes to finance a specific purchase of goods or services from within the creditor country.
To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques agr\u00e9g\u00e9es sur la r\u00e9partition g\u00e9ographique des versements bilat\u00e9raux et multilat\u00e9raux d'autres apports du secteur public (AASP) aux pays et territoires en d\u00e9veloppement figurant sur la liste des b\u00e9n\u00e9ficiaires de l'APD du CAD et aux agences multilat\u00e9rales \u00e9ligibles \u00e0 l'APD, y compris les instruments du secteur priv\u00e9 et les cr\u00e9dits \u00e0 l'exportation b\u00e9n\u00e9ficiant d'un soutien public.
L'AASP (\u00e0 l'exclusion des cr\u00e9dits \u00e0 l'exportation) sont des transactions qui ne remplissent pas les conditions d'\u00e9ligibilit\u00e9 \u00e0 l'APD, soit parce qu'elles ne sont pas principalement destin\u00e9es au d\u00e9veloppement, soit parce qu'elles ne sont pas suffisamment concessionnelles. De plus amples informations sur les crit\u00e8res de l'AASP sont disponibles dans le chapitre 1 des directives de notification statistique converg\u00e9es. Les cr\u00e9dits \u00e0 l'exportation b\u00e9n\u00e9ficiant d'un soutien public sont accord\u00e9s par des agences ou institutions sp\u00e9cialis\u00e9es dans le financement des exportations, d\u00e9tenues ou contr\u00f4l\u00e9es par l'\u00c9tat, \u00e0 des fins commerciales pour financer un achat sp\u00e9cifique de biens ou de services dans le pays cr\u00e9ancier.
Pour faciliter la transition entre les syst\u00e8mes, nous fournissons une correspondance des codes entre OECD.Stat (ancien syst\u00e8me) et OECD Data Explorer. Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_DAC3A", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT=DPGC,MEASURE=305,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC3A full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac235b5e-f7f9-4785-b039-19ed859e4ddb"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD3A (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac235b5e-f7f9-4785-b039-19ed859e4ddb"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC3A: Aid (ODA) commitments to countries and regions"}, {"@xml:lang": "fr", "#text": "CAD3A: Engagements d'aide (APD) vers les pays et r\u00e9gions"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral commitments of official development assistance (ODA) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible. These data are presented by provider and partner country.
To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques agr\u00e9g\u00e9es sur la r\u00e9partition g\u00e9ographique des engagements bilat\u00e9raux et multilat\u00e9raux d'aide publique au d\u00e9veloppement (APD) aux pays et territoires en d\u00e9veloppement figurant sur la liste des b\u00e9n\u00e9ficiaires de l'APD du CAD et aux agences multilat\u00e9rales \u00e9ligibles \u00e0 l'APD. Ces donn\u00e9es sont pr\u00e9sent\u00e9es par fournisseur et par pays partenaire.
Pour faciliter la transition entre les syst\u00e8mes, nous fournissons une correspondance des codes entre OECD.Stat (ancien syst\u00e8me) et OECD Data Explorer. Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_DAC4", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT=DPGC,MEASURE=490,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "DAC4 full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=80b4c7ae-208e-4308-9d28-b68f958dc86a"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes CAD4 (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=80b4c7ae-208e-4308-9d28-b68f958dc86a"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC4: Private direct investment and other private capital"}, {"@xml:lang": "fr", "#text": "CAD4: Investissements directs priv\u00e9s et autres apports de capitaux priv\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides aggregate statistics on the geographical distribution of bilateral disbursements of private flows to developing countries and territories on the DAC List of ODA Recipients. Private flows are flows undertaken by firms and individuals residing in the reporting country.
To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques agr\u00e9g\u00e9es sur la r\u00e9partition g\u00e9ographique des versements bilat\u00e9raux de flux priv\u00e9s aux pays et territoires en d\u00e9veloppement figurant sur la liste des b\u00e9n\u00e9ficiaires de l'APD du CAD. Les flux priv\u00e9s sont des flux entrepris par des entreprises et des individus r\u00e9sidant dans le pays de notification.
Pour faciliter la transition entre les syst\u00e8mes, nous fournissons une correspondance des codes entre OECD.Stat (ancien syst\u00e8me) et OECD Data Explorer. Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_ODF", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT=DPGC,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Total ODF full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d17dad28-a77f-48e6-9350-ae919db1c2d8"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes Total ODF (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d17dad28-a77f-48e6-9350-ae919db1c2d8"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Official development financing (ODF) by country and region"}, {"@xml:lang": "fr", "#text": "Financement public du d\u00e9veloppement (FPD) par pays et r\u00e9gion"}], "common:Description": [{"@xml:lang": "en", "#text": "Official Development Financing (ODF), measured for recipient countries only, is defined as the sum of their receipts of bilateral ODA, concessional and non-concessional resources from multilateral sources, and bilateral other official flows made available for reasons unrelated to trade, in particular loans to refinance debt.
For more information on these flows, please see the OECD\u2019s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.
"}, {"@xml:lang": "fr", "#text": "Financement public du d\u00e9veloppement (FPD) (agr\u00e9gat calcul\u00e9 par b\u00e9n\u00e9ficiaires) : le total pour chaque b\u00e9n\u00e9ficiaire des apports d'APD bilat\u00e9rale, des ressources mises \u00e0 disposition par le secteur multilat\u00e9ral, quelque soit l\u2019\u00e9l\u00e9ment de lib\u00e9ralit\u00e9, et des AASP fournis pour des raisons n'ayant pas trait au commerce international, plus particuli\u00e8rement les pr\u00eats dont l'objet est de refinancer l'endettement.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur les statistiques de financement du d\u00e9veloppement, y compris la Foire aux questions (FAQ) sur l'APD. Voir les Directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_OFFICIAL", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR=DAC,MEASURE=967,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Total Official full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=487e51ac-3ff7-418c-b869-a650dda4da28"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes Total Official (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=487e51ac-3ff7-418c-b869-a650dda4da28"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Official flows by country and region"}, {"@xml:lang": "fr", "#text": "Apports secteur public par pays et r\u00e9gion"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides aggregate statistics on official flows, which are the sum of official development assistance (ODA) and other official flows (OOF) disbursements to the recipient country shown.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des statistiques agr\u00e9g\u00e9es sur les flux officiels, qui sont la somme des versements d'aide publique au d\u00e9veloppement (APD) et d'autres apports du secteur public (AASP) au pays b\u00e9n\u00e9ficiaire indiqu\u00e9.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DAC2@DF_RECPTS", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "1", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FLOW_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR=DAC,UNIT_MEASURE=USD,LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "TotalReceipts full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d2ed1956-bdaf-49de-981a-7b00c3be42c0"}, {"@xml:lang": "fr", "#text": "Donn\u00e9es completes TotalReceipts (formatt\u00e9 dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d2ed1956-bdaf-49de-981a-7b00c3be42c0"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Receipts by country and region"}, {"@xml:lang": "fr", "#text": "Recettes par pays et r\u00e9gion"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides information on partner countries' total net receipts of financial flows. These flows include official development assistance (ODA), other official flows (OOF), and changes in the bilateral long-term assets of the private non-monetary and monetary sectors (e.g., guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks).
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des informations sur les recettes nettes totales des flux financiers des pays partenaires. Ces flux comprennent l'aide publique au d\u00e9veloppement (APD), les autres apports du secteur public (AASP) et les variations des actifs bilat\u00e9raux \u00e0 long terme des secteurs priv\u00e9s non mon\u00e9taires et mon\u00e9taires (par exemple, les cr\u00e9dits \u00e0 l'exportation garantis, les investissements directs priv\u00e9s, les investissements de portefeuille et, dans la mesure o\u00f9 ils ne sont pas couverts par les rubriques pr\u00e9c\u00e9dentes, les pr\u00eats accord\u00e9s par les banques priv\u00e9es).
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}], "structure:Structure": {"Ref": {"@id": "DSD_DAC2", "@version": "1.4", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_GNDR@DF_GENDER", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_GNDR@DF_GENDER/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SCORE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,MARKER", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,SCORE=2+1+10+0+99,FLOW_TYPE=C,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2019-23 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=070f8060-5694-4ebf-8de0-226019bb09d7"}, {"@xml:lang": "fr", "#text": "Gender 2019-23 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=070f8060-5694-4ebf-8de0-226019bb09d7"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2015-18 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10"}, {"@xml:lang": "fr", "#text": "Gender 2015-18 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2011-14 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b"}, {"@xml:lang": "fr", "#text": "Gender 2011-14 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2007-10 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa"}, {"@xml:lang": "fr", "#text": "Gender 2007-10 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2002-06 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965"}, {"@xml:lang": "fr", "#text": "Gender 2002-06 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "GenderMarkers: Aid activities targeting gender equality and womens empowerment"}, {"@xml:lang": "fr", "#text": "GerderMarkers: Activit\u00e9s d'aide visant l'\u00e9galit\u00e9 des sexes et l'autonomisation des femmes"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains commitment data (since 2002) and disbursement data (since 2009) on aid in support of gender equality from the CRS database.
In their reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS), donors are requested to indicate for each activity whether or not it targets gender equality as one of its policy objectives. To qualify as \u201cgender equality focussed,\u201d an activity must explicitly promote gender equality and women\u2019s empowerment.
An activity can either target gender equality as its \u201cprincipal objective\u201d or as a \u201csignificant objective\u201d. A \u201cprincipal\u201d score (2) is assigned if gender equality was an explicit objective of the activity and fundamental to its design - i.e. the activity would not have been undertaken without this objective. A \u201csignificant\u201d score (1) is assigned if gender equality was an important, but secondary, objective of the activity - i.e. it was not the principal reason for undertaking the activity. A \u201cnot targeted\u201d score (0) is assigned if, after being screened against the gender equality policy marker, an activity is not found to target gender equality. Activities assigned a \u201cprincipal objective\u201d score should not be considered better than activities assigned a \u201csignificant objective\u201d score, as donors that mainstream gender equality - and thus integrate it into their projects across a range of sectors - are more likely to allocate the marker score \u201csignificant\u201d to their aid activities.
The gender equality marker allows an approximate quantification of aid flows that target gender equality as a policy objective. In marker data presentations the figures for principal and significant objectives should be shown separately and the sum referred to as the \u201cestimate\u201d or \u201cupper bound\u201d of gender equality-focussed aid.
An activity can have more than one principal or significant objective. Therefore, total amounts targeting the different objectives should not be added-up to avoid double-counting.
Policy markers seek information on the donor\u2019s policy objectives which can be best assessed at the design stage of projects. This is why policy markers are applied to commitments. Policy marker data on a disbursement basis can also be compiled, but it is important to note that this does not mean the policy objectives of projects under implementation would have been re-assessed. Rather, the disbursements are linked to the qualitative information on the original commitment through project identifiers. Consequently, a project marked as gender equality focussed at the commitment stage will be flagged as gender equality focussed throughout its lifetime, unless the qualitative information was changed.
Consult more definitions, factsheets and the User guide for this dataset at: https://oe.cd/oda-gender-equality
"}, {"@xml:lang": "fr", "#text": "Cette base de donn\u00e9es contient les engagements (depuis 2002) et les versements (depuis 2009) d\u2019aide \u00e0 l\u2019\u00e9galit\u00e9 homme-femme ; ces informations proviennent de la base de donn\u00e9es du SNPC.
Dans leur notification au Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d\u2019aide au d\u00e9veloppement (CAD), les donneurs doivent indiquer, pour chaque activit\u00e9, si elle vise l\u2019\u00e9galit\u00e9 homme-femme comme objectif politique. Une activit\u00e9 doit explicitement promouvoir l\u2019\u00e9galit\u00e9 homme-femme et l\u2019autonomisation des femmes pour \u00eatre class\u00e9e comme orient\u00e9e vers l'\u00e9galit\u00e9 hommes-femmes.
Chaque activit\u00e9 peut viser l\u2019\u00e9galit\u00e9 homme-femme comme objectif \u00ab principal \u00bb ou \u00ab significatif \u00bb. La valeur \u00ab principal \u00bb (2) est attribu\u00e9e si l\u2019\u00e9galit\u00e9 homme-femme est un objectif explicite de l\u2019activit\u00e9 et fondamental \u00e0 sa conception : l\u2019activit\u00e9 n\u2019aurait pas \u00e9t\u00e9 entreprise sans cet objectif. La valeur \u00ab significatif \u00bb (1) est attribu\u00e9e si l\u2019\u00e9galit\u00e9 homme-femme est un objectif important, mais secondaire de l\u2019activit\u00e9 : ce n\u2019est pas la raison principale d\u2019entreprendre l\u2019activit\u00e9. La valeur \u00ab non orient\u00e9e \u00bb (0) est attribu\u00e9e si, apr\u00e8s examen de l\u2019activit\u00e9 en regard du marqueur de l\u2019\u00e9galit\u00e9 homme-femme, il s\u2019av\u00e8re qu\u2019elle ne vise pas cet objectif. La qualification du marqueur par la valeur \u00ab objectif principal \u00bb ne devrait pas \u00eatre consid\u00e9r\u00e9e comme \u201csup\u00e9rieure\u201d \u00e0 la valeur \u00ab objectif significatif \u00bb car, en cas d\u2019int\u00e9gration syst\u00e9matique, l\u2019\u00e9galit\u00e9 homme-femme sera souvent un \u00ab objectif significatif \u00bb, int\u00e9gr\u00e9 dans les projets visant tous les secteurs.
Le marqueur \u00ab \u00e9galit\u00e9 homme-femme \u00bb permet de quantifier approximativement les apports de l\u2019aide visant l\u2019\u00e9galit\u00e9 homme-femme. Dans les pr\u00e9sentations chiffr\u00e9es du marqueur, les donn\u00e9es concernant l\u2019objectif \u00ab principal \u00bb et l\u2019objectif \u00ab significatif \u00bb devraient \u00eatre montr\u00e9es s\u00e9par\u00e9ment, et leur total pr\u00e9sent\u00e9 comme une \u00ab estimation \u00bb ou une \u00ab limite sup\u00e9rieure \u00bb des montants d\u2019aide visant l\u2019\u00e9galit\u00e9 homme-femme.
Il se peut qu\u2019une activit\u00e9 soit assortie de plusieurs objectifs principaux ou significatifs. Par cons\u00e9quent, afin d\u2019\u00e9viter les double comptages, les totaux pour chacun des objectifs ne doivent pas \u00eatre additionn\u00e9s.
Les marqueurs renseignent sur la nature des objectifs politiques du donneur qui sont mieux \u00e0 m\u00eame d\u2019\u00eatre \u00e9valu\u00e9s lors de l\u2019\u00e9tape de conception des projets. C\u2019est pourquoi les marqueurs politiques s\u2019appliquent aux engagements. Il est toujours possible de pr\u00e9parer des statistiques pour les marqueurs sur la base des versements, mais il est important de signaler que les objectifs politiques des projets en cours d\u2019ex\u00e9cution n\u2019en seraient pas r\u00e9\u00e9valu\u00e9s pour autant. En effet, les versements sur un projet restent li\u00e9s \u00e0 l\u2019engagement d\u2019origine et aux informations qualitatives associ\u00e9es (\u00e0 travers l\u2019identifiant de projet) ; donc, un projet qualifi\u00e9 comme visant l\u2019\u00e9galit\u00e9 homme-femme au stade de l\u2019engagement restera qualifi\u00e9 comme tel durant tout son cycle de vie, \u00e0 moins que l\u2019information qualitative ne soit modifi\u00e9e.
Pour plus de d\u00e9finitions, de brochures sur l\u2019aide dans ce domaine ainsi que pour le Guide de l\u2019utilisateur de cette base de donn\u00e9es, aller \u00e0 :
https://oe.cd/apd-genre
"}]}, {"@id": "DSD_GNDR@DF_GENDER", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_GNDR@DF_GENDER/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SCORE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,MARKER", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,SCORE=2+1+10+0+99,FLOW_TYPE=C,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2019-23 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ad849304-26bd-4585-8ec5-559fb99c2673"}, {"@xml:lang": "fr", "#text": "Gender 2019-23 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ad849304-26bd-4585-8ec5-559fb99c2673"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2015-18 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10"}, {"@xml:lang": "fr", "#text": "Gender 2015-18 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2011-14 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b"}, {"@xml:lang": "fr", "#text": "Gender 2011-14 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2007-10 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa"}, {"@xml:lang": "fr", "#text": "Gender 2007-10 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Gender 2002-06 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965"}, {"@xml:lang": "fr", "#text": "Gender 2002-06 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "GenderMarkers: Aid (ODA) activities targeting gender equality and women's empowerment"}, {"@xml:lang": "fr", "#text": "GenderMarkers (SNPC): Activit\u00e9s d'aide (APD) visant l'\u00e9galit\u00e9 des sexes et l'autonomisation des femmes"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains bilateral data on aid (ODA) in support of gender equality and women's empowerment, using the OECD DAC Gender Equality policy marker, from the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are available for commitments since 2002 and disbursements since 2009.
In their reporting to the DAC CRS, providers are requested to indicate for each activity whether or not it targets gender equality as one of its policy objectives. To qualify as \"gender equality focused,\" an activity must explicitly promote gender equality and women's empowerment. An activity can target gender equality as its \"principal\" or \"significant\" objective, or not at all.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es bilat\u00e9rales sur l'aide (APD) en faveur de l'\u00e9galit\u00e9 des sexes et de l'autonomisation des femmes, en utilisant le marqueur politique de l'\u00e9galit\u00e9 des sexes, provenant du Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d'aide au d\u00e9veloppement (CAD). Ces donn\u00e9es sont disponibles pour les engagements depuis 2002 et les versements depuis 2009.
Dans leur notification au SNPC du CAD, les fournisseurs sont pri\u00e9s d'indiquer pour chaque activit\u00e9 si elle vise ou non l'\u00e9galit\u00e9 entre les hommes et les femmes comme l'un de ses objectifs politiques. Pour \u00eatre qualifi\u00e9e de \u00ab centr\u00e9e sur l'\u00e9galit\u00e9 des sexes \u00bb, une activit\u00e9 doit promouvoir explicitement l'\u00e9galit\u00e9 des sexes et l'autonomisation des femmes. Une activit\u00e9 peut cibler l'\u00e9galit\u00e9 des sexes en tant qu'objectif \u00ab principal \u00bb ou \u00ab significatif \u00bb, ou ne pas la cibler du tout.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_GREQ@DF_CRS_GREQ", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_GREQ@DF_CRS_GREQ/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "CRS: Creditor Reporting System (grant equivalent)"}, {"@xml:lang": "fr", "#text": "SNPC: Syst\u00e8me de notification des pays cr\u00e9anciers (\u00e9quivalent-don)"}], "common:Description": [{"@xml:lang": "en", "#text": "CRS dataset on grant equivalent basis"}, {"@xml:lang": "fr", "#text": "Tableau SNPC sur la base d'equivalent-don"}]}, {"@id": "DSD_GREQ@DF_CRS_GREQ", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_GREQ@DF_CRS_GREQ/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.86", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.3).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.3).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "CRS: Creditor Reporting System grant equivalent"}, {"@xml:lang": "fr", "#text": "SNPC: Syst\u00e8me de notification des pays cr\u00e9anciers (\u00e9quivalent-don)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides readily available, granular data on who is giving what aid, to where, and for what purpose, on a grant equivalent basis, and are available for data from 2018 onwards. These data are comparable across all providers who report their activity-level statistics to the OECD.
Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des donn\u00e9es granulaires facilement accessibles sur qui donne quelle aide, \u00e0 quel pays et dans quel objectif, sur la base des \u00e9quivalents-dons. Ces donn\u00e9es sont comparables entre tous les fournisseurs qui notifient leurs statistiques au niveau d'activit\u00e9 \u00e0 l'OCDE.
Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_MOB@DF_MOBILISATION", "@agencyID": "OECD.DCD.FSD", "@version": "1.0", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_MOB@DF_MOBILISATION/1.0", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "PROVIDER,SECTOR,MEASURE,FLOWTYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=10,PROVIDER=ALLD+DAC+WXDAC+ALLM,SECTOR=1000,MEASURE=_T,FLOW_TYPE=100,PRICE_BASE=V", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "PROVIDER:OECD.DCD.FSD:HCL_MOBDONORS(1.0).H,RECIPIENT:OECD.DCD.FSD:HCL_MOBRECIPIENTS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "10000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Mobilised private finance for development"}, {"@xml:lang": "fr", "#text": "Finance priv\u00e9e mobilis\u00e9e pour le d\u00e9veloppement"}], "common:Description": [{"@xml:lang": "en", "#text": "The term \"mobilisation\" describes the causal link between private finance made available for a specific project and an official intervention. Instrument-specific methodologies underpinning the collection of this information can be found in Annex 6 of Addendum 1 to the Statistical Reporting Directives. More details on these efforts can be found on our web page: Amounts mobilised for development.
"}, {"@xml:lang": "fr", "#text": "Le terme \"mobilisation\" d\u00e9crit le lien de causalit\u00e9 entre le financement priv\u00e9 mis \u00e0 disposition pour un projet sp\u00e9cifique et une intervention officielle. Les m\u00e9thodologies sp\u00e9cifiques aux instruments qui sous-tendent la collecte de ces informations se trouvent \u00e0 l'annexe 6 de l'addendum 1 des directives relatives aux rapports statistiques. Vous trouverez plus de d\u00e9tails \u00e0 ce sujet sur le site : Montants mobilis\u00e9s pour le d\u00e9veloppement.
"}]}, {"@id": "DSD_MOB@DF_MOBILISATION", "@agencyID": "OECD.DCD.FSD", "@version": "1.1", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_MOB@DF_MOBILISATION/1.1", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "PROVIDER,SECTOR,MEASURE,FLOWTYPE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=10,PROVIDER=ALLD+DAC+WXDAC+ALLM,SECTOR=1000,MEASURE=_T,FLOW_TYPE=100,PRICE_BASE=V", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "PROVIDER:OECD.DCD.FSD:HCL_MOBDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_MOBRECIPIENTS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": ";COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "10000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "CRS \u2013 Private: Mobilised private finance for development"}, {"@xml:lang": "fr", "#text": "SNPC - Priv\u00e9: Finance priv\u00e9e mobilis\u00e9e pour le d\u00e9veloppement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents information on amounts mobilised from the private sector from members' official sector interventions. The term \"mobilisation\" describes the causal link between private finance made available for a specific project and an official intervention.
Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es pr\u00e9sente des informations sur les montants mobilis\u00e9s aupr\u00e8s du secteur priv\u00e9 pour les interventions des membres dans le secteur officiel. Le terme \u00ab mobilisation \u00bb d\u00e9crit le lien de causalit\u00e9 entre le financement priv\u00e9 mis \u00e0 disposition pour un projet sp\u00e9cifique et une intervention officielle.
Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_MULTI@DF_MULTI", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_MULTI@DF_MULTI/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "CHANNEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,MODALITY,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=1,DONOR=DAC,RECIPIENT=DPGC,SECTOR=1000,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.3).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.3).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Entire dataset (dotStat format)-v20250206|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a"}, {"@xml:lang": "fr", "#text": "La base enti\u00e8re (en format dotStat)-v20250206|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Providers' total use of the multilateral system"}, {"@xml:lang": "fr", "#text": "Utilisation du syst\u00e8me multilat\u00e9ral par les fournisseurs (SNPC)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents providers' total use of the multilateral system, including their multilateral aid (\"Core contributions to\") and bilateral aid channelled through multilateral organisations (\"Contributions through\"). These data originate from members' reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are published starting with 2011 data \u2013 activity-level data for multilateral aid is not complete in CRS for earlier years.
Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
Please note: the raw data, available under \"Related files\" below, has been updated on 06/02/2025 to reflect a correction related to the inclusion/exclusion of certain criteria, which affected the overall values for certain providers. Please refer to this file for the latest, corrected version.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es pr\u00e9sente l'utilisation totale du syst\u00e8me multilat\u00e9ral par les fournisseurs, y compris leur aide multilat\u00e9rale (\u00ab Core contributions to \u00bb) et l'aide bilat\u00e9rale achemin\u00e9e par l'interm\u00e9diaire d'organisations multilat\u00e9rales (\u00ab Contributions through \u00bb). Ces donn\u00e9es proviennent des notifications des membres au Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d'aide au d\u00e9veloppement (CAD). Ces donn\u00e9es sont publi\u00e9es \u00e0 partir de 2011 - les donn\u00e9es au niveau de l'activit\u00e9 pour l'aide multilat\u00e9rale ne sont pas compl\u00e8tes dans le SNPC pour les ann\u00e9es ant\u00e9rieures.
Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
Veuillez noter que les donn\u00e9es brutes, disponibles sous \"Fichiers associ\u00e9s\" ci-dessous, ont \u00e9t\u00e9 mises \u00e0 jour le 06/02/2025 pour refl\u00e9ter une correction li\u00e9e \u00e0 l'inclusion/exclusion de certains crit\u00e8res, ce qui a affect\u00e9 les valeurs globales pour certains fournisseurs. Veuillez vous r\u00e9f\u00e9rer \u00e0 ce fichier pour la derni\u00e8re version corrig\u00e9e.
"}]}, {"@id": "DSD_MULTI@DF_MULTI", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_MULTI@DF_MULTI/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "CHANNEL", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,MODALITY,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=1,DONOR=DAC,RECIPIENT=DPGC,SECTOR=1000,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Entire dataset (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a"}, {"@xml:lang": "fr", "#text": "La base enti\u00e8re (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Providers' total use of the multilateral system"}, {"@xml:lang": "fr", "#text": "Utilisation du syst\u00e8me multilat\u00e9ral par les fournisseurs (SNPC)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents providers' total use of the multilateral system, including their multilateral aid (\"Core contributions to\") and bilateral aid channelled through multilateral organisations (\"Contributions through\"). These data originate from members' reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are published starting with 2011 data \u2013 activity-level data for multilateral aid is not complete in CRS for earlier years.
Please consult our database of development finance classifications for further information on all possible codes for each attribute.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
Please note: the raw data, available under \"Related files\" below, has been updated on 06/02/2025 to reflect a correction related to the inclusion/exclusion of certain criteria, which affected the overall values for certain providers. Please refer to this file for the latest, corrected version.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es pr\u00e9sente l'utilisation totale du syst\u00e8me multilat\u00e9ral par les fournisseurs, y compris leur aide multilat\u00e9rale (\u00ab Core contributions to \u00bb) et l'aide bilat\u00e9rale achemin\u00e9e par l'interm\u00e9diaire d'organisations multilat\u00e9rales (\u00ab Contributions through \u00bb). Ces donn\u00e9es proviennent des notifications des membres au Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d'aide au d\u00e9veloppement (CAD). Ces donn\u00e9es sont publi\u00e9es \u00e0 partir de 2011 - les donn\u00e9es au niveau de l'activit\u00e9 pour l'aide multilat\u00e9rale ne sont pas compl\u00e8tes dans le SNPC pour les ann\u00e9es ant\u00e9rieures.
Veuillez consulter notre base de donn\u00e9es des classifications du financement du d\u00e9veloppement pour plus d'informations sur tous les codes possibles pour chaque attribut.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
Veuillez noter que les donn\u00e9es brutes, disponibles sous \"Fichiers associ\u00e9s\" ci-dessous, ont \u00e9t\u00e9 mises \u00e0 jour le 06/02/2025 pour refl\u00e9ter une correction li\u00e9e \u00e0 l'inclusion/exclusion de certains crit\u00e8res, ce qui a affect\u00e9 les valeurs globales pour certains fournisseurs. Veuillez vous r\u00e9f\u00e9rer \u00e0 ce fichier pour la derni\u00e8re version corrig\u00e9e.
"}]}, {"@id": "DSD_OTHMRKR@DF_OTHERMARKERS", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_OTHMRKR@DF_OTHERMARKERS/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SCORE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY,ALLOCABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,MARKER=60,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2022-23 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2022-23 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2020-21 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2020-21 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2018-19 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2018-19 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2014-17 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2014-17 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2010-13 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2010-13 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2002-09 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2002-09 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "OtherMarkers: Aid activities targeting other policy objectives"}, {"@xml:lang": "fr", "#text": "OtherMarkers: Activit\u00e9s d'aide visant d'autres objectifs politiques"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains bilateral commitment data on aid in support of five policy markers: 1) democratic and inclusive governance, 2) reproductive, maternal, newborn and child health (RMNCH), 3) nutrition, 4) inclusion and empowerment of persons with disabilities, and 5) disaster risk reduction (DRR) from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.
In their reporting to the DAC CRS, donors are requested to indicate, for each activity, whether or not it targets the above-mentioned markers. A scoring system of three values is used, in which aid activities are \"marked\" as targeting the policy objective as either \"principal objective\" or \"significant objective\", or not targeting the objective. Reporting is voluntary for the nutrition and for the disability marker.
"}, {"@xml:lang": "fr", "#text": "Ces donn\u00e9es contiennent les engagements bilat\u00e9raux en mati\u00e8re d'aide \u00e0 l'appui de cinq marqueurs politiques : 1) la gouvernance d\u00e9mocratique et inclusive, 2) la sant\u00e9 reproductive, maternelle, n\u00e9onatale et infantile (RMNCH), 3) la nutrition, 4) l'inclusion et l'autonomisation des personnes handicap\u00e9es, et 5) la r\u00e9duction des risques de catastrophe (RRC), \u00e0 partir de la base de donn\u00e9es du Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d'aide au d\u00e9veloppement (CAD).
Dans leur notification au SNPC du CAD, les donneurs sont pri\u00e9s d'indiquer, pour chaque activit\u00e9, si elle cible ou non les marqueurs susmentionn\u00e9s. Un syst\u00e8me de notation \u00e0 trois valeurs est utilis\u00e9, dans lequel les activit\u00e9s d'aide sont \"marqu\u00e9es\" comme ciblant l'objectif politique en tant qu'\"objectif principal\" ou \"objectif significatif\", ou ne ciblant pas l'objectif. La notification est volontaire pour les marqueurs de la nutrition et du handicap.
"}]}, {"@id": "DSD_OTHMRKR@DF_OTHERMARKERS", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_OTHMRKR@DF_OTHERMARKERS/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SCORE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY,ALLOCABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,MARKER=60,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2022-23 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2022-23 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2020-21 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2020-21 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2018-19 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2018-19 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2014-17 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2014-17 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2010-13 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2010-13 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OtherMarkers 2002-09 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a"}, {"@xml:lang": "fr", "#text": "OtherMarkers 2002-09 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "OtherMarkers: Aid activities targeting other policy objectives"}, {"@xml:lang": "fr", "#text": "OtherMarkers (SNPC): Activit\u00e9s d'aide visant d'autres objectifs politiques"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains bilateral commitment data on aid in support of five policy markers: 1) democratic and inclusive governance, 2) reproductive, maternal, newborn and child health (RMNCH), 3) nutrition, 4) inclusion and empowerment of persons with disabilities, and 5) disaster risk reduction (DRR) from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.
In their reporting to the DAC CRS, donors are requested to indicate, for each activity, whether it targets the above-mentioned markers or not. A scoring system of three values is used, in which aid activities are marked as targeting the policy objective as either as the \"principal\" or \"significant\" objective, or not at all. Reporting is voluntary for the nutrition and disability markers.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les engagements bilat\u00e9raux en mati\u00e8re d'aide en faveur de cinq marqueurs politiques : 1) la gouvernance d\u00e9mocratique et inclusive, 2) la sant\u00e9 reproductive, maternelle, n\u00e9onatale et infantile (RMNCH), 3) la nutrition, 4) l'inclusion et l'autonomisation des personnes handicap\u00e9es, et 5) la r\u00e9duction des risques de catastrophe (RRC) \u00e0 partir de la base de donn\u00e9es du Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d'aide au d\u00e9veloppement (CAD).
Dans leur notification au SNPC du CAD, les donateurs sont invit\u00e9s \u00e0 indiquer, pour chaque activit\u00e9, si elle cible ou non les marqueurs susmentionn\u00e9s. Un syst\u00e8me de notation \u00e0 trois valeurs est utilis\u00e9, dans lequel les activit\u00e9s d'aide sont marqu\u00e9es comme ciblant l'objectif politique en tant qu'objectif \u00ab principal \u00bb ou \u00ab significatif \u00bb, ou pas du tout. La notification est volontaire pour les marqueurs de la nutrition et du handicap.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_PPFD@DF_PPFD", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_PPFD@DF_PPFD/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=9PRIV0,SECTOR=1000,MEASURE=_T,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Entire dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19"}, {"@xml:lang": "fr", "#text": "La base enti\u00e8re (en format dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Private Philanthropy for Development"}, {"@xml:lang": "fr", "#text": "Philanthropie priv\u00e9e pour le d\u00e9veloppement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset includes project-level information for more than 40 of the largest private philanthropic foundations working for development. Data are reported to the OECD Development Co-operation Directorate using the same statistical standards and definitions as those for ODA. Concerning data providers unable to share data on both commitments and disbursements, the missing flow type is proxied based on the one that is available. More details can be found at oe.cd/foundationsdata."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es comprend des informations au niveau des projets pour plus de 40 des plus grandes fondations philanthropiques priv\u00e9es travaillant pour le d\u00e9veloppement. Les donn\u00e9es sont communiqu\u00e9es \u00e0 la Direction de la coop\u00e9ration pour le d\u00e9veloppement de l'OCDE en utilisant les m\u00eames normes et d\u00e9finitions statistiques que pour l'APD. En ce qui concerne les fournisseurs de donn\u00e9es qui ne sont pas en mesure de partager des donn\u00e9es sur les engagements et les d\u00e9caissements, le type de flux manquant est calcul\u00e9 par approximation sur la base de celui qui est disponible. Plus de d\u00e9tails peuvent \u00eatre trouv\u00e9s sur le site oe.cd/foundationsdata."}]}, {"@id": "DSD_PPFD@DF_PPFD", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_PPFD@DF_PPFD/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,ALLOCABLE,MARKER,SCORE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=5,DONOR=9PRIV0,SECTOR=1000,MEASURE=_T,FLOW_TYPE=D,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Entire dataset (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19"}, {"@xml:lang": "fr", "#text": "La base enti\u00e8re (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Private Philanthropy for Development"}, {"@xml:lang": "fr", "#text": "Philanthropie priv\u00e9e pour le d\u00e9veloppement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides project-level information for over 40 of the largest private philanthropic foundations working for development. The data is reported to the OECD's Development Co-operation Directorate, using the same statistical standards and definitions as for ODA.
For providers who are unable to share data on both commitments and disbursements, the missing flow type is proxied based on the one that is available. More details can be found at oe.cd/foundationsdata.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit des informations au niveau des projets pour plus de 40 des plus grandes fondations philanthropiques priv\u00e9es travaillant pour le d\u00e9veloppement. Les donn\u00e9es sont notifi\u00e9es \u00e0 la Direction de la coop\u00e9ration pour le d\u00e9veloppement de l'OCDE en utilisant les m\u00eames normes et d\u00e9finitions statistiques que celles de l'APD.
Pour les fournisseurs qui ne sont pas en mesure de partager des donn\u00e9es \u00e0 la fois sur les engagements et les versements, le type de flux manquant est remplac\u00e9 par celui qui est disponible. Plus de d\u00e9tails sont disponibles sur oe.cd/foundationsdata.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_QDD_DCD_IDRC@DF_QDD_DCD_IDRC", "@agencyID": "OECD.DCD.FSD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=OA,DONOR=ALLD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_IDRC_DONORS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "DAC members\u2019 methodologies for reporting in-donor refugee costs in ODA"}, {"@xml:lang": "fr", "#text": "M\u00e9thodes des membres du CAD pour calculer le co\u00fbt des r\u00e9fugi\u00e9s dans les pays donneurs dans l'APD"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains qualitative data on DAC members' methodologies for reporting in-donor refugee costs in ODA. It provides the possibility to gain insights in the various methodologies used, and to compare them among members. Further information on the reporting rules as well as most members' entire methodologies can be found on the OECD webpage on in-donor refugee costs.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es qualitatives sur les m\u00e9thodologies utilis\u00e9es par les membres du CAD pour rapporter les co\u00fbts des r\u00e9fugi\u00e9s dans l'APD. Il permet de mieux comprendre les diff\u00e9rentes m\u00e9thodologies utilis\u00e9es et de les comparer entre les membres. De plus amples informations sur les r\u00e8gles de d\u00e9claration ainsi que sur les m\u00e9thodologies compl\u00e8tes de la plupart des membres sont disponibles sur la page web de l'OCDE consacr\u00e9e aux co\u00fbts des r\u00e9fugi\u00e9s dans les pays donneurs. .
"}], "structure:Structure": {"Ref": {"@id": "DSD_QDD_DCD_IDRC", "@version": "1.0", "@agencyID": "OECD.DCD.FSD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RIOMRKR@DF_RIOMARKERS", "@agencyID": "OECD.DCD.FSD", "@version": "1.3", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_RIOMRKR@DF_RIOMARKERS/1.3", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SCORE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,MARKER,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,MARKER=10,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2018-23 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d"}, {"@xml:lang": "fr", "#text": "RioMarkers 2018-23 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2014-17 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c"}, {"@xml:lang": "fr", "#text": "RioMarkers 2014-17 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2010-13 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928"}, {"@xml:lang": "fr", "#text": "RioMarkers 2010-13 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2006-09 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6"}, {"@xml:lang": "fr", "#text": "RioMarkers 2006-09 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2002-05 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe"}, {"@xml:lang": "fr", "#text": "RioMarkers 2002-05 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "RioMarkers: Aid activities targeting global environmental objectives"}, {"@xml:lang": "fr", "#text": "RioMarkers: Activit\u00e9s d'aide visant les objectifs environmentaux mondiaux"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.
In addition to bilateral flows presented in this dataset, an integrated view of climate-related development finance by both bilateral and multilateral providers is available on this website (click on the \u201cProject-level data\u201d to download in Excel or follow link to the \u201cData visualisation portal\u201d to see the data graphically).
In their reporting to the DAC CRS, donors are requested to indicate for each activity whether or not it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification). A scoring system of three values is used, in which aid activities are \"marked\" as targeting environment as the \"principal objective\" or a \"significant objective\", or as not targeting the objective.
The environment marker identifies activities that are \"intended to produce an improvement in the physical and/or biological environment of the recipient country, area or target group concerned\" or \"include specific action to integrate environmental concerns with a range of development objectives through institution building and/or capacity development\". A large majority of activities targeting the objectives of the Rio Conventions fall under the DAC definition of \"aid to environment\". The Rio markers permit their specific identification.
Watch out for double-counting!
The same activity can be marked for several objectives, e.g. climate change mitigation and biodiversity. These overlaps reflect that the three Rio Conventions are interlinked and mutually reinforcing. However, care needs to be taken not to double-count the amounts when compiling the total for aid in support of more than one Convention: biodiversity-, climate change- and desertification-related aid should not be added up as this can result in double or triple-counting.
Activity-level marker data that underlie the aggregate figures presented in this dataset are available for consultation and download: see \"Export\", \"Related files\".
Consult more definitions, factsheets and the User guide for this dataset (see Rio Conventions).
"}, {"@xml:lang": "fr", "#text": "Cette base de donn\u00e9es contient les engagements bilat\u00e9raux d\u2019aide \u00e0 l\u2019environnement, \u00e0 la biodiversit\u00e9, \u00e0 l\u2019att\u00e9nuation du changement climatique, \u00e0 l\u2019adaptation au changement climatique ainsi qu\u2019\u00e0 la d\u00e9sertification ; ces informations proviennent de la base de donn\u00e9es du Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC).
En plus des donn\u00e9es bilat\u00e9rales pr\u00e9sent\u00e9es ici, une vue int\u00e9gr\u00e9e incluant \u00e0 la fois les donneurs bilat\u00e9raux et les organisations multilat\u00e9rales est disponible sur ce site (cliquez sur \u201cProject-level data\u201d pour t\u00e9l\u00e9charger les donn\u00e9es en Excel ou suivez le lien vers \u201cData visualisation portal\u201d pour acc\u00e9der \u00e0 une pr\u00e9sentation graphique des donn\u00e9es).
Dans leur notification au SNPC du CAD, les donneurs doivent indiquer, pour chaque activit\u00e9, si elle vise un objectif environnemental ou les objectifs des Conventions de Rio (biodiversit\u00e9, att\u00e9nuation du changement climatique, adaptation au changement climatique, d\u00e9sertification). Un syst\u00e8me de notation \u00e0 trois valeurs est utilis\u00e9 selon lequel les activit\u00e9s sont \"marqu\u00e9es\" comme visant l\u2019environnement comme objectif \"principal\", \"significatif\", ou ne visant pas l\u2019objectif.
Le marqueur \"environnement\" identifie les activit\u00e9s ayant pour objet \"de produire une am\u00e9lioration de l\u2019environnement physique et/ou biologique du pays, de la r\u00e9gion ou du groupe cible int\u00e9ress\u00e9\" ou qui contiennent \"des mesures sp\u00e9cifiques pour int\u00e9grer les consid\u00e9rations environnementales dans les objectifs du d\u00e9veloppement \u00e0 travers le soutien aux institutions et/ou le d\u00e9veloppement des capacit\u00e9s.\"
Une grande majorit\u00e9 des activit\u00e9s visant les objectifs des Conventions de Rio sont comprises dans la d\u00e9finition du CAD de \"l\u2019aide \u00e0 l\u2019environnement\". Les marqueurs Rio permettent de les identifier de fa\u00e7on sp\u00e9cifique.
Attention aux double-comptages !
La m\u00eame activit\u00e9 peut \u00eatre marqu\u00e9e pour plusieurs objectifs \u00e0 la fois, par exemple biodiversit\u00e9 et att\u00e9nuation du changement climatique. Ces chevauchements refl\u00e8tent les liens entre les trois Conventions et le fait qu\u2019elles se renforcent mutuellement. Cependant, lorsqu\u2019on \u00e9tablit le total de l\u2019aide visant les objectifs de plus d\u2019une Convention, il faut prendre soin de ne pas compter double les montants des activit\u00e9s visant plusieurs objectifs : les montants d\u2019aide pour la biodiversit\u00e9, le changement climatique et la d\u00e9sertification ne doivent pas \u00eatre ajout\u00e9s car cela pourrait se traduire par du double voire triple comptage.
Les agr\u00e9gats pr\u00e9sent\u00e9s dans cette base de donn\u00e9es sont calcul\u00e9s \u00e0 partir des activit\u00e9s d\u2019aide notifi\u00e9es par les donneurs dans le SNPC. Les activit\u00e9s d\u2019aide et les marqueurs associ\u00e9s peuvent \u00eatre t\u00e9l\u00e9charg\u00e9s : voir \"Export\", \"Related files\".
Pour plus de d\u00e9finitions, de brochures sur l\u2019aide dans ce domaine ainsi que pour le Guide de l\u2019utilisateur de cette base de donn\u00e9es, voir les Conventions rio.
"}]}, {"@id": "DSD_RIOMRKR@DF_RIOMARKERS", "@agencyID": "OECD.DCD.FSD", "@version": "1.4", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/dcd-public/rest/dataflow/OECD.DCD.FSD/DSD_RIOMRKR@DF_RIOMARKERS/1.4", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "RECIPIENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SCORE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR,MARKER,SECTOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM", "common:AnnotationType": "DRILLDOWN"}, {"common:AnnotationTitle": "0.9999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,MARKER=10,PRICE_BASE=Q", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2022-23 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1e487b41-c6c3-4f19-b2d1-ffeea3c71911"}, {"@xml:lang": "fr", "#text": "RioMarkers 2022-23 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1e487b41-c6c3-4f19-b2d1-ffeea3c71911"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2018-21 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d"}, {"@xml:lang": "fr", "#text": "RioMarkers 2018-21 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2014-17 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c"}, {"@xml:lang": "fr", "#text": "RioMarkers 2014-17 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2010-13 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928"}, {"@xml:lang": "fr", "#text": "RioMarkers 2010-13 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2006-09 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6"}, {"@xml:lang": "fr", "#text": "RioMarkers 2006-09 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "RioMarkers 2002-05 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe"}, {"@xml:lang": "fr", "#text": "RioMarkers 2002-05 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "RioMarkers: Aid (ODA) activities targeting global environmental objectives"}, {"@xml:lang": "fr", "#text": "RioMarkers (SNPC): Activit\u00e9s d'aide (APD) visant les objectifs environmentaux mondiaux"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.
In their reporting to the DAC CRS, donors are requested to indicate for each activity whether it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification) or not. A scoring system of three values is used, in which aid activities are marked as targeting environment as the \"principal\" or \"significant\" objective, or not at all. For more information on the scoring and criteria, please see here. Please note that the same activity can be marked for several objectives, and therefore caution should be used to avoid double-counting.
For more information on these flows, please see the OECD's main page on official development assistance and finance for sustainable development, including frequently asked questions (FAQs) on ODA. See also the converged statistical reporting directives governing these data, alongside other guidance on using our data.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les engagements bilat\u00e9raux concernant l'aide en faveur de la durabilit\u00e9 environnementale, l'aide \u00e0 la biodiversit\u00e9, l'att\u00e9nuation du changement climatique, l'adaptation au changement climatique et la d\u00e9sertification, provenant de la base de donn\u00e9es du Syst\u00e8me de notification des pays cr\u00e9anciers (SNPC) du Comit\u00e9 d'aide au d\u00e9veloppement (CAD).
Dans leur notification au SNPC du CAD, les donateurs sont invit\u00e9s \u00e0 indiquer pour chaque activit\u00e9 si elle cible ou non l'environnement et les conventions de Rio (biodiversit\u00e9, att\u00e9nuation du changement climatique, adaptation au changement climatique et d\u00e9sertification). Un syst\u00e8me de notation \u00e0 trois valeurs est utilis\u00e9, dans lequel les activit\u00e9s d'aide sont marqu\u00e9es comme ciblant l'environnement en tant qu'objectif \u00ab principal \u00bb ou \u00ab significatif \u00bb, ou pas du tout. Pour plus d'informations sur la notation et les crit\u00e8res, voir ici. Veuillez noter qu'une m\u00eame activit\u00e9 peut \u00eatre marqu\u00e9e pour plusieurs objectifs et qu'il convient donc de faire preuve de prudence pour \u00e9viter les doubles comptages.
Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur l'aide publique au d\u00e9veloppement et le financement du d\u00e9veloppement durable, y compris la foire aux questions (FAQ) sur l'APD. Voir \u00e9galement les directives de notification statistique converg\u00e9es (en anglais) r\u00e9gissant ces donn\u00e9es, ainsi que d'autres conseils sur l'utilisation de nos donn\u00e9es.
"}]}, {"@id": "DSD_AFDD_STAT_ANNEX@DF_HISTORIC", "@agencyID": "OECD.DEV.EMEA", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,SEX,DEG_URB,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "RESOURCERICH,POINT_INFO", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE_ID=(TAB01+TAB02+TAB03+TAB04+TAB05+TAB06+TAB07+TAB08+TAB09+TAB10+TAB11+TAB12+TAB13+TAB14+TAB15+TAB16+TAB17+TAB18+TAB19+TAB20+TAB21+TAB22+TAB23+TAB24+TAB25+TAB26+TAB27+TAB28+TAB29+TAB30+TAB31+TAB32+TAB33+TAB34+TAB35+TAB36+TAB37+TAB38+TAB39),RESOURCERICH=(Z+N)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,TIME_PERIOD_END=2024,REF_AREA=EGY+ZAF+COD+ETH+TZA+NGA,MEASURE=POPULATION+GDP+GDPINC_RLPC+INFLATION+EMPLOYMENT", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,SEX,DEG_URB", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Africa's Development Dynamics (AfDD) - full historic data"}, {"@xml:lang": "fr", "#text": "Dynamiques du d\u00e9veloppement en Afrique (DDAf) - toutes les donn\u00e9es historiques"}], "common:Description": [{"@xml:lang": "fr", "#text": "L'Annexe statistique du rapport annuel sur les Dynamiques du d\u00e9veloppement en Afrique (DDAf) est une collection d'indicateurs de d\u00e9veloppement qui ont \u00e9t\u00e9 rassembl\u00e9s et analys\u00e9s lors de la conduite des recherches qui ont servi \u00e0 la r\u00e9daction du rapport. Ces statistiques sont collect\u00e9es aupr\u00e8s de diverses sources internationales r\u00e9put\u00e9es et sont rapport\u00e9es au niveau national ou pour des agr\u00e9gations de groupes de pays pertinents sur une base annuelle. L'Annexe comprend 39 tableaux d'indicateurs pr\u00e9sentant diff\u00e9rents th\u00e8mes de d\u00e9veloppement.\nResidential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors.
This dataset covers the OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices, and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly and annual statistics for each country. Annual figures refer to the average of the year.
"}, {"@xml:lang": "fr", "#text": "Les Indices de Prix des Propriétés Résidentielles (RPPIs) - également appelés indices de prix des Logements (HPIS), Propriété résidentielle Indices des prix (RPPIs) - sont les indices qui mesurent les prix des propriétés résidentielles au cours du temps. Les RPPIs sont des statistiques clés non seulement pour les citoyens et les ménages à travers le monde, mais aussi pour les décideurs économiques et monétaires. Ils peuvent vous aider, par exemple, pour surveiller les déséquilibres macroéconomiques potentiels et l'exposition au risque des ménages et du secteur financier.
Cette base de données couvre les pays membres de l'OCDE et certains pays non-membres. En plus des RPPIs nominaux, il contient des informations sur les prix réels des logements, les prix de location et les ratios de prix nominaux aux loyers et aux revenus des ménages par habitant. Cette base de données contient des statistiques trimestrielles et annuelles pour chaque pays. Les données annuelles se réfèrent à des moyennes des données trimestrielles.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AN_HOUSE_PRICES", "@version": "1.0", "@agencyID": "OECD.ECO.MPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_AGE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "SUBJ_TYPE,AGE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Instruction time in compulsory general education by age"}, {"@xml:lang": "fr", "#text": "Temps d'instruction dans l'enseignement g\u00e9n\u00e9ral obligatoire par \u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents the number of hours of statutory instruction time in full-time compulsory education by age. It covers all ages in primary, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire \u00e0 temps plein, par \u00e2ge. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=INT_TIME,UNIT_MEASURE=H,EDUCATION_LEV=ISCED11_1_2,AGE=_Z,SUBJ_TYPE=INTEND", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Student instruction time - full dataset"}, {"@xml:lang": "fr", "#text": "Temps d'instruction - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the students' instruction time in compulsory general education.
It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur le temps d'instruction des l'\u00e9l\u00e8ves. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_ISCED", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,UNIT_MEASURE,SUBJ_TYPE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "SUBJ_TYPE:SUBJ_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "SUBJ_TYPE:Subject"}, {"@xml:lang": "fr", "#text": "SUBJ_TYPE:Mati\u00e8re"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Instruction time in compulsory general education"}, {"@xml:lang": "fr", "#text": "Temps d'instruction dans l'enseignement g\u00e9n\u00e9ral obligatoire"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents the number of hours of statutory instruction time in full-time compulsory education. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire \u00e0 temps plein. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_ISCED_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,UNIT_MEASURE,SUBJ_TYPE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "SUBJ_TYPE:SUBJ_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "SUBJ_TYPE:Subject"}, {"@xml:lang": "fr", "#text": "SUBJ_TYPE:Mati\u00e8re"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Instruction time in compulsory general education (subnational data)"}, {"@xml:lang": "fr", "#text": "Temps d'instruction dans l'enseignement g\u00e9n\u00e9ral obligatoire (donn\u00e9es infranationales)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents the number of hours of statutory instruction time in full-time compulsory education for some subnational entities. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire \u00e0 temps plein pour certaines entit\u00e9s infranationales. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_ORG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MEASURE=GRDS,AGE,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Organisation of compulsory general education"}, {"@xml:lang": "fr", "#text": "Organisation de la fili\u00e8re g\u00e9n\u00e9rale de l\u2019enseignement obligatoire"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents how full-time compulsory education is organised, such as number of grades. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente la mani\u00e8re dont l'enseignement obligatoire \u00e0 temps plein est organis\u00e9, par exemple le nombre d\u2019ann\u00e9es d\u2019\u00e9tudes. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_ORG_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MEASURE=GRDS,AGE,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Organisation of compulsory general education (subnational data)"}, {"@xml:lang": "fr", "#text": "Organisation de la fili\u00e8re g\u00e9n\u00e9rale de l\u2019enseignement obligatoire (donn\u00e9es infranationales)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents how full-time compulsory education is organised, such as number of grades, for some subnational entities. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente la mani\u00e8re dont l'enseignement obligatoire \u00e0 temps plein est organis\u00e9, par exemple le nombre d\u2019ann\u00e9es d\u2019\u00e9tudes, pour certaines entit\u00e9s infranationales. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_SUBJ_AGE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "SUBJ_TYPE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y10,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Instruction time per subject by age"}, {"@xml:lang": "fr", "#text": "Temps d'instruction par mati\u00e8re et par \u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents the percentage of total compulsory instruction time spent on different subjects by age. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente le pourcentage du temps total d'enseignement obligatoire consacr\u00e9 \u00e0 diff\u00e9rentes mati\u00e8res par \u00e2ge. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_IT@DF_EAG_IT_SUBJ_ISCED", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "SUBJ_TYPE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Instruction time per subject by level of education"}, {"@xml:lang": "fr", "#text": "Temps d'instruction par mati\u00e8re et par niveau d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents the percentage of total compulsory instruction time spent on different subjects by level of education. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente le pourcentage du temps total d'enseignement obligatoire consacr\u00e9 \u00e0 diff\u00e9rentes mati\u00e8res par niveau d'enseignement. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire g\u00e9n\u00e9ral et le deuxi\u00e8me cycle de l'enseignement secondaire g\u00e9n\u00e9ral obligatoire, mais exclut l'enseignement pr\u00e9primaire, m\u00eame s'il est obligatoire. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2023 (ann\u00e9e scolaire 2022/23 ou 2023), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_IT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Education and earnings (EARNINGS) (full dataset)"}, {"@xml:lang": "fr", "#text": "\u00c9ducation et revenus (EARNINGS) (ensemble de donn\u00e9es complet)"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_DISTR_MEDIAN", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,INCOME", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,INCOME=MILE_50+MIGT_50_LE100+MIGT_100_LE150+MIGT_150_LE200+MIGT_200,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earners distribution based on their level of earnings relative to the overall median, by age group, gender and educational attainment level"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des actifs en fonction de leur niveau de revenus par rapport \u00e0 la m\u00e9diane globale, par groupe d'\u00e2ge, sexe et niveau d'\u00e9tudes"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of workers based on their level of earnings relative to the overall median, by educational attainment level, gender and age group. The default table displays 2022 data (or the latest available year) on the distribution of 25-64 year-old workers, for a given level of the three aggregated levels of educational attainment. The selection can be changed to display data by gender and by age group. Overall median refers the median earnings from work for 25-64 year-olds with income from employment (full- and part-time workers) for all levels of educational attainment. Data refer to gross earnings except for Argentina and T\u00fcrkiye. Filter the time period to visualise historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T34,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earnings differences by field of study among tertiary-educated workers, by age group, gender and level of tertiary educational attainment"}, {"@xml:lang": "fr", "#text": "Diff\u00e9rences de revenus par domaine d'\u00e9tudes parmi les actifs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur, par groupe d'\u00e2ge, sexe et niveau de dipl\u00f4me de l'enseignement sup\u00e9rieur"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the differrences in earnings from employment by field of study, age group, educational attainment level and work time arrangement. The baseline is the earnings of tertiary-educated full-time workers from all fields of study. The default table displays 2022 data (or the latest available year). The selection can be changed to display data by more detailed educational attainment level, age group, gender and by work time arrangement (e.g. full- or part-time employment).
Data on full-time workers are recommended because of better comparability. For more information, please consult Education at a Glance 2022. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2022 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_REL_BEL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T34,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_34_44+ISCED11A_35_45+ISCED11A_6,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earnings of workers relative to the earnings of workers with below upper secondary educational attainment, by age group, gender and educational attainment level"}, {"@xml:lang": "fr", "#text": "Revenus des actifs occup\u00e9s par rapport aux revenus des actifs occup\u00e9s ayant un niveau d'\u00e9tudes inf\u00e9rieur au deuxi\u00e8me cycle de l'enseignement secondaire, par groupe d'\u00e2ge, sexe et niveau d'\u00e9tudes"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of workers with below upper secondary attainment, and it is primarily served to analyse the earnings difference by programme orientation. The default table displays 2022 data (or the latest available year) on the earnings of 25-34 year-old full-time workers with general or vocational upper secondary or post-secondary non-tertiary attainment, or bachelor's or equivalent degree as a percentage of the earnings of their peers with below upper secondary attainment. The selection can be changed to display data by gender, by level of educational attainment, by age group and by work time arrangement (e.g. full- or part-time employment). Data refer to gross earnings except for Argentina and T\u00fcrkiye. Data on full-time workers are recommended because of better comparability. Filter the time period to visualise historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_REL_MALE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,WORK_TIME_ARNGMNT=FT,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earnings differences by gender, by age group and educational attainment level"}, {"@xml:lang": "fr", "#text": "Diff\u00e9rences de revenus par sexe, par groupe d'\u00e2ge et par niveau d'\u00e9tudes"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the gender differrences in earnings from employment, by age group, educational attainment level and work time arrangement. The baseline is men's earnings. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old full-time female workers as a percentage of the earnings of their male counterparts, by the three aggregated levels of educational attainment. The selection can be changed to display data by educational attainment, by age group and by work time arrangement (e.g. full- or part-time employment).
Data on full-time workers are recommended because of better comparability. For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_REL_NATIVE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,MIGRATION_AGE=_T,BIRTH_PLACE=FB,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earnings differences by country of birth and age at migration, by age group, gender and educational attainment level"}, {"@xml:lang": "fr", "#text": "Diff\u00e9rences de revenus selon le pays de naissance et l'\u00e2ge au moment de la migration, par groupe d'\u00e2ge, sexe et niveau d'\u00e9tudes"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the differrences in earnings from employment between native- and foreign-born adults, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of native-born workers. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old native-born full-time workers as a percentage of the earnings of their foreign-born counterparts, by the three aggregated levels of educational attainment. The selection can be changed to display data by educational attainment level, age group, gender, age at migration and by work time arrangement (e.g. full- or part-time employment).
Data on full-time workers are recommended because of better comparability. For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_REL_UPPER", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_5+ISCED11A_6+ISCED11A_7_8+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earnings of workers relative to the earnings of workers with upper secondary educational attainment, by age group, gender and educational attainment level"}, {"@xml:lang": "fr", "#text": "Revenus des actifs occup\u00e9s par rapport aux revenus des actifs occup\u00e9s ayant un niveau d'\u00e9ducation secondaire sup\u00e9rieur, par groupe d'\u00e2ge, sexe et niveau d'\u00e9ducation"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of workers with upper secondary attainment. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old full-time workers with below upper secondary attainment or teritary attainment as a percentage of the earnings of their peers with upper secondary attainment. The selection can be changed to display data by gender, educational attainment level, age group and work time arrangement (e.g. full- or part-time employment). Note that the baseline is the earnings of workers with upper secondary or post-secondary non-tertiary attainment for Colombia, France, Italy, Peru and Swizterland. Data refer to gross earnings except for Argentina and T\u00fcrkiye. Data on full-time workers are recommended because of better comparability. Filter the time period to visualise historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_EARN_REL_YAD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,AGE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y35T44+Y45T54+Y55T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Earnings of workers relative to the earnings of 25-34 year-olds, by age group, gender and educational attainment level"}, {"@xml:lang": "fr", "#text": "Revenus des actifs occup\u00e9s par rapport aux revenus des 25-34 ans, par groupe d'\u00e2ge, sexe et niveau d'\u00e9tudes"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of 25-34 year-old workers. The default table displays 2022 data (or the latest available year) on the earnings of 35-44, 45-54 and 55-64 year-old full-time workers as a percentage of the earnings of their 25-34 year-old peers, by the three aggregated levels of educational attainment. The selection can be changed to display data by gender, by educational attainment level, by age group and by work time arrangement (e.g. full- or part-time employment).
Data on full-time workers are recommended because of better comparability. For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "National Educational Attainment Classification (NEAC) and labour market status (full dataset)"}, {"@xml:lang": "fr", "#text": "Classification nationale des niveaux d'\u00e9tudes (NEAC) et situation sur le march\u00e9 du travail (ensemble de donn\u00e9es complet)"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_DISTR_DURUNEMP", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,DURATION_UNEMP", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,DURATION_UNEMP=M_LT3+M3T11+M_GE12,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Duration of unemployment distribution among unemployed adults, by educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "R\u00e9partition de la dur\u00e9e du ch\u00f4mage chez les adultes au ch\u00f4mage, par niveau d'\u00e9tudes, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the duration of unemployment distribution among unemployed adults, by educational attainment, age group and gender. The default table displays 2021 data (or the latest available year) on the distribution of unemployed 25-64 year-olds by duration of unemployment. The selection can be changed to display data by more detailed educational attainment level, by by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2022. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2022 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_DISTR_EA", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2023,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Adults' educational attainment distribution, by age group and gender"}, {"@xml:lang": "fr", "#text": "R\u00e9partition du niveau d'\u00e9tudes des adultes, par groupe d'\u00e2ge et par sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of adults with a given age group and gender by educational attainment level. The default table displays 2023 data (or the latest available year) on the distribution of 25-64 year-olds by educational attainment. The selection can be changed to display data by programme orientation, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_DISTR_EA_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,SEX=_T,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Field of study distribution of tertiary-educated adults, by level of tertiary educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des domaines d'\u00e9tudes des adultes dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur, par niveau d'\u00e9tudes, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of tertiary-educated adults with a given age group and gender by field of study. The default table displays 2021 data (or the latest available year) on the distribution of tertiary-educated 25-64 year-olds by field of study. The selection can be changed to display data by more detailed educational attainment level, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2022. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2022 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_DISTR_EA_MIGR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MIGR_STATUS,ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MIGR_STATUS:Migration status"}, {"@xml:lang": "fr", "#text": "COMBINED_MIGR_STATUS:Statut migratoire"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Adults' educational attainment distribution, by country of birth, age group and gender"}, {"@xml:lang": "fr", "#text": "R\u00e9partition du niveau d'\u00e9tudes des adultes, par pays de naissance, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of native- and foreign-born adults with a given age group and gender by educational attainment level. The default table displays 2023 data (or the latest available year) on the distribution of native- and foreign-born 25-64 year-olds by educational attainment. The selection can be changed to display data by age at migration, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_DISTR_GENDER", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,SEX", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=F+M,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Adults' gender distribution, by educational attainment level and age group"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des adultes par sexe, par niveau de formation et par groupe d'\u00e2ge"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the gender distribution of adults with a given age group and educational attainment level. The default table displays 2023 data (or the latest available year) on the gender distribution of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by educational attainment, by programme orientation and by age group. Filter the time period to visualise historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_DISTR_MIGR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,COMBINED_MIGR_STATUS", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MIGR_STATUS:Migration status"}, {"@xml:lang": "fr", "#text": "COMBINED_MIGR_STATUS:Statut migratoire"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Adults' migration status distribution, by educational attainment level, age group and gender"}, {"@xml:lang": "fr", "#text": "R\u00e9partition du statut migratoire des adultes, par niveau d'\u00e9ducation, par groupe d'\u00e2ge et par sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of adults with a given age group, gender, educational attainment level and migration status. The default table displays 2023 data (or the latest available year) on the share of native- and foreign-born 25-64 year-olds with a given level of educational attainment. The selection can be changed to display data by age at migration, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_EMP", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment rates of adults, by educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux d'emploi des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on employment rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the employment rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_EMP_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux d'emploi des adultes dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur, par domaine d'\u00e9tudes, par niveau d'\u00e9tudes, par groupe d'\u00e2ge et par sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on employment rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2021 data (or the latest available year) on the employment rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2022. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2022 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_EMP_MIGR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,COMBINED_MIGR_STATUS", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MIGR_STATUS:Migration status"}, {"@xml:lang": "fr", "#text": "COMBINED_MIGR_STATUS:Statut migratoire"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment rates of adults, by educational attainment, age group, gender, country of birth and age at migration"}, {"@xml:lang": "fr", "#text": "Taux d'emploi des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge, sexe, pays de naissance et \u00e2ge au moment de la migration"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on employment rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the employment rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_INAC", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Inactivity rates of adults, by educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux d'inactivit\u00e9 des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on inactivity rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the inactivity rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_INAC_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Inactivity rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux d'inactivit\u00e9 des adultes dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur, par domaine d'\u00e9tudes, par niveau d'\u00e9tudes, par groupe d'\u00e2ge et par sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on inactivity rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2021 data (or the latest available year) on the inactivity rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2022. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2022 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_INAC_MIGR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,COMBINED_MIGR_STATUS", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MIGR_STATUS:Migration status"}, {"@xml:lang": "fr", "#text": "COMBINED_MIGR_STATUS:Statut migratoire"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Inactivity rates of adults, by educational attainment, age group, gender, country of birth and age at migration"}, {"@xml:lang": "fr", "#text": "Taux d'inactivit\u00e9 des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge, sexe, pays de naissance et \u00e2ge au moment de la migration"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on inactivity rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the inactivity rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_LF", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour force participation rates of adults, by educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux d'activit\u00e9 des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on labour force participation rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the labour force participation rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_UNEMP", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Unemployment rates of adults, by educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux de ch\u00f4mage des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on unemployment rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the unemployment rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_UNEMPLOYED", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of unemployed adults among all adults, by educational attainment level, age group and gender"}, {"@xml:lang": "fr", "#text": "Part des adultes au ch\u00f4mage parmi l'ensemble des adultes, par niveau de formation, groupe d'\u00e2ge et sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the share of unemployed adults by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the share of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment who are unemployed among all 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to visualise historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_UNEMP_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Unemployment rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "Taux de ch\u00f4mage des adultes dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur, par domaine d'\u00e9tudes, par niveau d'\u00e9tudes, par groupe d'\u00e2ge et par sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on unemployment rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2021 data (or the latest available year) on the unemployment rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2022. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2022 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_NEAC_UNEMP_MIGR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV,COMBINED_MIGR_STATUS", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MIGR_STATUS:Migration status"}, {"@xml:lang": "fr", "#text": "COMBINED_MIGR_STATUS:Statut migratoire"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Unemployment rates of adults, by educational attainment, age group, gender, country of birth and age at migration"}, {"@xml:lang": "fr", "#text": "Taux de ch\u00f4mage des adultes, par niveau d'\u00e9tudes, groupe d'\u00e2ge, sexe, pays de naissance et \u00e2ge au moment de la migration"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on unemployment rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the unemployment rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_TRANS", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDU_STATUS,LABOUR_FORCE_STATUS", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y18T24,ATTAINMENT_LEV=_T,SEX=_T,EDU_STATUS=ED+ED_WS+ED_E_O+NED,LABOUR_FORCE_STATUS=EMP+NE,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+PER+ROU+ZAF", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Distribution of young adults' education and work status, for a given level of educational attainment, age group and gender"}, {"@xml:lang": "fr", "#text": "R\u00e9partition de l'\u00e9ducation et de la situation professionnelle des jeunes adultes, pour un niveau d'\u00e9ducation donn\u00e9, par groupe d'\u00e2ge et par sexe"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of young adults by education and work status. The default table displays 2023 data (or the latest available year) on the distribution of 18-24 year-olds in education/not in education, by their work status (e.g. employed or not employed). Young adults who are neither employed nor in formal education and training are also called NEET. The selection can be changed to display data by educational attainment, by detailed education and work status and by age group.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_TRANS_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Youth's transition from education to work (TRANS) (full dataset)"}, {"@xml:lang": "fr", "#text": "Transition des jeunes de l'\u00e9ducation au travail (TRANS) (ensemble de donn\u00e9es complet)"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_LSO_EA@DF_LSO_TRANS_MIGR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "BIRTH_PLACE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y15T29,ATTAINMENT_LEV=_T,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,EDU_STATUS=NED,LABOUR_FORCE_STATUS=NE,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+PER+ROU+ZAF", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MIGR_STATUS:Migration status"}, {"@xml:lang": "fr", "#text": "COMBINED_MIGR_STATUS:Statut migratoire"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of young adults who are not employment nor in formal education or training (NEET), by country of birth and age at migration"}, {"@xml:lang": "fr", "#text": "Part des jeunes adultes qui n'ont pas d'emploi et ne suivent pas d'enseignement ou de formation formels (NEET), par pays de naissance et \u00e2ge au moment de la migration"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains data on the distribution of young adults who are native- and foreign-born, by education and work status. The default table displays 2023 data (or the latest available year) on share of native- and foreign-born 15-29 year-olds, who are neither employed nor in formal education and training (e.g. NEET). The selection can be changed to display data by educational attainment, by education and work status, by age group and by age at migration.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_LSO_EA", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE,SEX", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,UNIT_MULT,STATISTICAL_OPERATION=OBS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "0.999999990", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Actual salaries of teachers and school heads - full dataset"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des enseignants et des chefs d'\u00e9tablissement - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the actual salaries of teachers and school heads.
It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD average.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es est t\u00e9l\u00e9chargeable au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les salaires r\u00e9els des enseignants et des chefs d'\u00e9tablissement.
Il couvre les enseignants et les chefs d'\u00e9tablissement travaillant \u00e0 temps plein dans des \u00e9tablissements publics, travaillant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles). La s\u00e9lection par d\u00e9faut affiche toutes les mesures disponibles de la moyenne de l'OCDE.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Actual salary of teachers and school heads - full dataset"}, {"@xml:lang": "fr", "#text": "Salaire effectif des enseignants et des chefs d'\u00e9tablissement - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the actual salaries of teachers and school heads.
It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les salaires effectif des enseignants et des chefs d'\u00e9tablissements. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Il couvre les enseignants et les chefs d'\u00e9tablissements travaillant \u00e0 plein temps dans des \u00e9tablissements publics, travaillant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_SCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' actual salary"}, {"@xml:lang": "fr", "#text": "Salaire effectif des chefs d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on actual salaries of school heads (including additional work-related payments). It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente les salaires effectifs des chefs d'\u00e9tablissement (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail). Il couvre les chefs d'\u00e9tablissement \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 plein temps dans des \u00e9tablissements publics et travaillant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_SCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=BEL+BFL+BFR+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' actual salary (subnational data)"}, {"@xml:lang": "fr", "#text": "Salaire effectif des chefs d\u2019\u00e9tablissement (donn\u00e9es infranationales)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on actual salaries of school heads (including additional work-related payments) for some subnational entities. It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente les salaires effectifs des chefs d'\u00e9tablissement (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) pour certaines entit\u00e9s infranationales. Il couvre les chefs d'\u00e9tablissement \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 plein temps dans des \u00e9tablissements publics et travaillant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_SCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_AGE_SEX:AGE,SEX;COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_AGE_SEX:Age group and sex;COMBINED_REF_PERIOD:Reference years of salaries data and of wages of tertiary workers"}, {"@xml:lang": "fr", "#text": "COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe;COMBINED_REF_PERIOD:Ann\u00e9es de r\u00e9f\u00e9rence utilis\u00e9es pour les salaires des enseignants et les r\u00e9mun\u00e9rations d'actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' actual salary relative to earnings of tertiary-educated workers"}, {"@xml:lang": "fr", "#text": "Salaire effectif des chefs d\u2019\u00e9tablissement relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares actual salaries of school heads (including additional work-related payments) with earnings of tertiary-educated workers. It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires effectifs des chefs d'\u00e9tablissement (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire. Il couvre les chefs d'\u00e9tablissement \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 plein temps dans des \u00e9tablissements publics et travaillant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual salary"}, {"@xml:lang": "fr", "#text": "Salaire effectif des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on actual salaries of teachers (including additional work-related payments). It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente des les salaires effectifs des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail). Il couvre les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 temps plein dans des \u00e9tablissements publics et enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_TCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=BEL+BFL+BFR+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual salary (subnational data)"}, {"@xml:lang": "fr", "#text": "Salaire effectif des enseignants (donn\u00e9es infranationales)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on actual salaries of teachers (including additional work-related payments) for some subnational entities. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente les salaires effectifs des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) pour certaines entit\u00e9s infranationales. Il couvre les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 temps plein dans des \u00e9tablissements publics et enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_EAG_SAL_ACT_TCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_AGE_SEX:AGE,SEX;COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_AGE_SEX:Age group and sex;COMBINED_REF_PERIOD:Reference years of salaries data and of wages of tertiary workers"}, {"@xml:lang": "fr", "#text": "COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe;COMBINED_REF_PERIOD:Ann\u00e9es de r\u00e9f\u00e9rence utilis\u00e9es pour les salaires des enseignants et les r\u00e9mun\u00e9rations d'actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual salary relative to earnings of tertiary-educated workers"}, {"@xml:lang": "fr", "#text": "Salaire effectif des enseignants relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares actual salaries of teachers (including additional work-related payments) with earnings of tertiary-educated workers. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires effectifs des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire. Il couvre les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 temps plein dans des \u00e9tablissements publics et enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_SCH", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_AGE_SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires effectifs des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' actual salaries"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des chefs d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on actual salaries of school heads (including additional work-related payments). It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD for school heads aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency)
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires r\u00e9els des chefs d'\u00e9tablissement (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail). Il couvre les chefs d'\u00e9tablissement \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD pour les chefs d'\u00e9tablissement \u00e2g\u00e9s de 25 \u00e0 64 ans. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par groupe d'\u00e2ge, par sexe (pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans uniquement) et par unit\u00e9 mon\u00e9taire (\u00e9quivalent USD ou monnaie nationale).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024 (en anglais). Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_SCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_AGE_SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}, {"common:AnnotationTitle": "0.999999997", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires effectifs des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' actual salaries - Subnational entities"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des chefs d\u2019\u00e9tablissement - Entit\u00e9s infranationales"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on actual salaries of school heads (including additional work-related payments) in subnational entities of some countries. It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD for school heads aged 25-64. The selection can be changed to display data in national currency.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires r\u00e9els des chefs d'\u00e9tablissement (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) dans les entit\u00e9s infranationales de certains pays. Il couvre les chefs d'\u00e9tablissement \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD pour les chefs d'\u00e9tablissement \u00e2g\u00e9s de 25 \u00e0 64 ans. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es en monnaie nationale.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_SCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_AGE_SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REF_PERIOD,BASE_PER", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,BASE_PER=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE;COMBINED_AGE_SEX:AGE,SEX;BASE_PER:BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_AGE_SEX:Age group and sex;BASE_PER:Reference year of earnings data"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe;BASE_PER:Ann\u00e9e de r\u00e9f\u00e9rence utilis\u00e9e pour les r\u00e9mun\u00e9rations d'actifs occup\u00e9s"}]}, {"common:AnnotationTitle": "0.999999999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires effectifs des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' actual salaries relative to workers' earnings"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des chefs d\u2019\u00e9tablissement relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares actual salaries of school heads (including additional work-related payments) with earnings of tertiary-educated workers. It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data for school heads aged 25-64. The default table displays data on actual salaries relative to earnings of tertiary-educated workers. The selection can be changed to display data by age group or by gender (for teachers aged 25-64 only).
The selection can also be changed to display data on actual salaries of teachers relative to earnings of similarly-educated workers.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires r\u00e9els des chefs d'\u00e9tablissement (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) avec les revenus des travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur. Il couvre les chefs d'\u00e9tablissement \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche les donn\u00e9es des chefs d'\u00e9tablissement \u00e2g\u00e9s de 25 \u00e0 64 ans. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les salaires r\u00e9els par rapport aux revenus des travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par groupe d'\u00e2ge ou par sexe (pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans uniquement).
La s\u00e9lection peut \u00e9galement \u00eatre modifi\u00e9e pour afficher les donn\u00e9es sur les salaires r\u00e9els des enseignants par rapport aux revenus des travailleurs ayant suivi un enseignement similaire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_AGE_SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires effectifs des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual salaries"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on actual salaries of teachers (including additional work-related payments). It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD for teachers aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes.
For historical data, see Trends in teachers\u2019 actual salaries since 2000.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires r\u00e9els des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail). Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par groupe d'\u00e2ge, par sexe (pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans uniquement) et par unit\u00e9 mon\u00e9taire (\u00e9quivalent USD ou monnaie nationale).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais).
Pour les donn\u00e9es historiques, voir \u00c9volution des salaires effectifs des enseignants depuis 2000.
"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_TCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_AGE_SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe"}]}, {"common:AnnotationTitle": "0.999999997", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires effectifs des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual salaries - Subnational entities"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des enseignants - Entit\u00e9s infranationales"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on actual salaries of teachers (including additional work-related payments) in subnational entities of some countries. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD for teachers aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency)
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires r\u00e9els des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) dans les entit\u00e9s infranationales de certains pays. Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par groupe d'\u00e2ge, par sexe (pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans uniquement) et par unit\u00e9 mon\u00e9taire (\u00e9quivalent USD ou monnaie nationale).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_ACT@DF_TCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_AGE_SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "REF_PERIOD,BASE_PER", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,BASE_PER=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE;COMBINED_AGE_SEX:AGE,SEX;BASE_PER:BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_AGE_SEX:Age group and sex;BASE_PER:Reference year of earnings data"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_AGE_SEX:Groupe d'\u00e2ge et sexe;BASE_PER:Ann\u00e9e de r\u00e9f\u00e9rence utilis\u00e9e pour les r\u00e9mun\u00e9rations d'actifs occup\u00e9s"}]}, {"common:AnnotationTitle": "0.999999999", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires effectifs des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual salaries relative to workers' earnings"}, {"@xml:lang": "fr", "#text": "Salaires effectifs des enseignants relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares actual salaries of teachers (including additional work-related payments) with earnings of workers. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education. The default table displays data for teachers aged 25-64.
The default table displays data on actual salaries of teachers relative to earnings of tertiary-educated workers. The selection can be changed to display data by age group or by gender (for teachers aged 25-64 only).
The selection can also be changed to display data on actual salaries of teachers relative to earnings of similarly-educated workers.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires r\u00e9els des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) avec les revenus des travailleurs. Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles). Le tableau par d\u00e9faut affiche les donn\u00e9es pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans.
Le tableau par d\u00e9faut affiche les donn\u00e9es sur les salaires r\u00e9els des enseignants par rapport aux revenus des travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par groupe d'\u00e2ge ou par sexe (pour les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans uniquement).
La s\u00e9lection peut \u00e9galement \u00eatre modifi\u00e9e pour afficher les donn\u00e9es sur les salaires r\u00e9els des enseignants par rapport aux revenus des travailleurs ayant suivi un enseignement similaire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_ACT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV,PERS_EXP_LEV", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,UNIT_MULT,STATISTICAL_OPERATION=OBS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "0.999999990", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Statutory salaries of teachers and school heads - full dataset"}, {"@xml:lang": "fr", "#text": "Salaires statutaires des enseignants et des chefs d'\u00e9tablissement - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the statutory salaries of teachers and school heads.
It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD average.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es est t\u00e9l\u00e9chargeable au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les salaires statutaires des enseignants et des chefs d'\u00e9tablissement.
Il couvre les enseignants et les chefs d'\u00e9tablissement travaillant \u00e0 temps plein dans des \u00e9tablissements publics, travaillant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles). La s\u00e9lection par d\u00e9faut affiche toutes les mesures disponibles de la moyenne de l'OCDE.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,PERS_EXP_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,OBS_STATUS=A,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,MEASURE=SAL_STA,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Statutory salary of teachers and school heads - full dataset"}, {"@xml:lang": "fr", "#text": "Salaire statutaire des enseignants et des chefs d'\u00e9tablissement - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the statutory salaries of teachers and school heads.
It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les salaires statutaires des enseignants et des chefs d'\u00e9tablissements. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Il couvre les enseignants et les chefs d'\u00e9tablissements travaillant \u00e0 plein temps dans des \u00e9tablissements publics, travaillant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_SCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,OBS_STATUS=A,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,PRICE_BASE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP+FCTR_SAL_EXP0,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE;COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base;COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix;COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' statutory salary"}, {"@xml:lang": "fr", "#text": "Salaire statutaire des chefs d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on statutory salaries of school heads. It covers school heads working full time in public institutions, in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente les salaires statutaires des chefs d'\u00e9tablissement. Il couvre les chefs d'\u00e9tablissement travaillant \u00e0 temps plein dans des \u00e9tablissements publics, travaillant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_SCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,PERS_TYPE,PERS_QUAL_LEV,PRICE_BASE,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER;COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_PERIOD:Reference years used for salaries of school heads and earnings of tertiary-educated workers;COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_PERIOD:Ann\u00e9es de r\u00e9f\u00e9rence utilis\u00e9es pour les salaires des chefs d'\u00e9tablissement et les r\u00e9mun\u00e9rations d'actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire;COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' statutory salary relative to earnings of tertiary-educated workers"}, {"@xml:lang": "fr", "#text": "Salaire statutaire des chefs d'\u00e9tablissement relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares statutory salaries of school heads with earnings of tertiary-educated workers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires statutaires des chefs d'\u00e9tablissement relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire. Il couvre les chefs d'\u00e9tablissements travaillant \u00e0 plein temps dans des \u00e9tablissements publics, travaillant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,PERS_EXP_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory salary"}, {"@xml:lang": "fr", "#text": "Salaire statutaire des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on statutory salaries of teachers at different points of their careers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente les salaires statutaires des enseignants \u00e0 diff\u00e9rents stades de leur carri\u00e8re. Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_TCH_COM", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,STATISTICAL_OPERATION,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,PERS_EXP_LEV=(EXP15+EXPMAX),PRICE_BASE,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION;UNIT_MEASURE:UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;EDUCATION_LEV:Education level"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;UNIT_MEASURE:Unit of measure;EDUCATION_LEV:Niveau de l'enseignement"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparison of teachers' statutory salary"}, {"@xml:lang": "fr", "#text": "Comparaison des salaires statutaires des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents comparative indicators on statutory salaries of teachers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente des indicateurs comparatifs sur les salaires statutaires des enseignants. Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_TCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,PERS_EXP_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory salary (subnational data)"}, {"@xml:lang": "fr", "#text": "Salaire statutaire des enseignants (donn\u00e9es infranationales)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on statutory salaries of teachers at different points of their careers for some subnational entities. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente les salaires statutaires des enseignants \u00e0 diff\u00e9rents stades de leur carri\u00e8re pour certaines r\u00e9gions infranationales. entit\u00e9s. Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_EAG_SAL_STA_TCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,PRICE_BASE,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_REF_PERIOD:Reference years used for salaries of teachers and earnings of tertiary-educated workers"}, {"@xml:lang": "fr", "#text": "COMBINED_REF_PERIOD:Ann\u00e9es de r\u00e9f\u00e9rence utilis\u00e9es pour les salaires des enseignants et les r\u00e9mun\u00e9rations d'actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory salary relative to earnings of tertiary-educated workers"}, {"@xml:lang": "fr", "#text": "Salaire statutaire des enseignants relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares statutory salaries of teachers with earnings of tertiary-educated workers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires statutaires des enseignants relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s dipl\u00f4m\u00e9s de l\u2019enseignement tertiaire. Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2022 (ann\u00e9e scolaire 2021/22 ou 2022), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_SCH", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY_PRICE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,MEASURE,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,PERS_TYPE,UNIT_MULT,CURRENCY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,UNIT_MEASURE=USD_PPP+FCTR_SAL_MIN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' statutory salaries"}, {"@xml:lang": "fr", "#text": "Salaires statutaires des chefs d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on statutory salaries of school heads. It covers full-time school heads with the minimum qualification, working in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD. The selection can be changed by currency unit (equivalent USD or national currency).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires statutaires des chefs d'\u00e9tablissement. Il couvre les chefs d'\u00e9tablissement \u00e0 temps plein ayant la qualification minimale, travaillant dans des \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD. La s\u00e9lection peut \u00eatre modifi\u00e9e par unit\u00e9 mon\u00e9taire (\u00e9quivalent USD ou monnaie nationale).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_SCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,BASE_PER", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE,EDUCATION_LEV,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD,BASE_PER", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,BASE_PER=2022,OBS_STATUS=A,PERS_TYPE,CURRENCY,PRICE_BASE,UNIT_MULT,PERS_QUAL_LEV,PERS_EXP_LEV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "0.999999998", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' statutory salaries relative to workers' earnings"}, {"@xml:lang": "fr", "#text": "Salaires statutaires des chefs d'\u00e9tablissement relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares statutory salaries of school heads with earnings of tertiary-educated workers. It covers full-time school heads with the minimum qualification, working in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The table displays data on statutory salaries of school heads relative to earnings of tertiary-educated workers.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires statutaires des chefs d'\u00e9tablissement avec les revenus des travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur. Il couvre les chefs d'\u00e9tablissement \u00e0 temps plein ayant la qualification minimale, travaillant dans des \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau pr\u00e9sente des donn\u00e9es sur les salaires statutaires des chefs d'\u00e9tablissement par rapport aux revenus des travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY_PRICE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,PERS_EXP_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY:Devise et base de prix"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory salaries"}, {"@xml:lang": "fr", "#text": "Salaires statutaires des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on statutory salaries of teachers at different points of their careers (starting salary, salaries after 10 and 15 years of experience, and salary at the top of the salary scale). It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD for teachers with the most prevalent qualification at each stage of career (in the reference year). The selection can be changed to display data by qualification level of teachers (minimum, most prevalent or maximum) and by currency unit (equivalent USD or national currency).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes.
For historical data, see Trends in teachers\u2019 statutory salaries since 2000.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires statutaires des enseignants \u00e0 diff\u00e9rents moments de leur carri\u00e8re (salaire de d\u00e9part, salaires apr\u00e8s 10 et 15 ans d'exp\u00e9rience et salaire au sommet de l'\u00e9chelle salariale). Il couvre les enseignants \u00e0 temps plein des \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD pour les enseignants ayant la qualification la plus r\u00e9pandue \u00e0 chaque stade de carri\u00e8re (dans l'ann\u00e9e de r\u00e9f\u00e9rence). La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par niveau de qualification des enseignants (minimum, le plus r\u00e9pandu ou maximum) et par unit\u00e9 mon\u00e9taire (\u00e9quivalent USD ou monnaie nationale).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays sont disponibles dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais).
Pour les donn\u00e9es historiques, voir \u00c9volution des salaires statutaires des enseignants depuis 2000.
"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_TCH_CHG", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,COMBINED_UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,UNIT_MEASURE,STATISTICAL_OPERATION=OBS,UNIT_MULT,CURRENCY,PRICE_BASE,PERS_TYPE,PERS_EXP_LEV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "0.999999997", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Change in teachers' statutory salaries over the career"}, {"@xml:lang": "fr", "#text": "\u00c9volution du salaire statutaire des enseignants au cours de la carri\u00e8re"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains indicators to change in statutory salaries of teachers over the career. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data the ratio of salary at the top of scale to salary at the start of the career and on the years to reach salary at the top of scale with the most prevalent qualification to enter the profession. The selection can be changed to display data by qualification level of teachers (minimum qualification to enter the profession or the most prevalent to enter the profession).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des indicateurs sur l'\u00e9volution des salaires statutaires des enseignants au cours de la carri\u00e8re. Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau par d\u00e9faut affiche les donn\u00e9es sur le ratio du salaire au sommet de l'\u00e9chelle au salaire en d\u00e9but de carri\u00e8re et sur les ann\u00e9es n\u00e9cessaires pour atteindre le salaire au sommet de l'\u00e9chelle avec la qualification la plus r\u00e9pandue pour acc\u00e9der \u00e0 la profession. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par niveau de qualification des enseignants (qualification minimale pour acc\u00e9der \u00e0 la profession ou la plus r\u00e9pandue pour acc\u00e9der \u00e0 la profession).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_TCH_COM", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,PRICE_BASE,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "0.999999997", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Comparative indicators on teachers' statutory salaries"}, {"@xml:lang": "fr", "#text": "Indicateurs comparatifs sur les salaires statutaires des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains comparative indicators on statutory salaries of teachers. It covers full-time teachers with the most prevalent qualification after 15 years of experience, in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD on statutory salary per hour of net teaching time for teachers and the ratio of this indicator between primary and upper secondary general education.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des indicateurs comparatifs sur les salaires statutaires des enseignants. Il couvre les enseignants \u00e0 temps plein ayant la qualification la plus r\u00e9pandue apr\u00e8s 15 ans d'exp\u00e9rience, dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau par d\u00e9faut affiche des donn\u00e9es en \u00e9quivalent USD sur le salaire statutaire par heure de temps d'enseignement net des enseignants et le ratio de cet indicateur entre l'enseignement primaire et secondaire g\u00e9n\u00e9ral sup\u00e9rieur.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_TCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,PERS_EXP_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY:Devise et base de prix"}]}, {"common:AnnotationTitle": "0.999999997", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory salaries - Subnational entities"}, {"@xml:lang": "fr", "#text": "Salaires statutaires des enseignants - Entit\u00e9s infranationales"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on statutory salaries of teachers with the most prevalent qualification at different points of their careers in subnational entities of some countries. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data in equivalent USD for teachers at each stage of career. The selection can be changed by currency unit (equivalent USD or national currency).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les salaires statutaires des enseignants ayant la qualification la plus r\u00e9pandue \u00e0 diff\u00e9rents moments de leur carri\u00e8re dans les entit\u00e9s infranationales de certains pays. Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau par d\u00e9faut affiche les donn\u00e9es en \u00e9quivalent USD pour les enseignants \u00e0 chaque stade de carri\u00e8re. La s\u00e9lection peut \u00eatre modifi\u00e9e par unit\u00e9 mon\u00e9taire (\u00e9quivalent USD ou monnaie nationale).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_STA@DF_TCH_REL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD,BASE_PER", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,BASE_PER=2022,OBS_STATUS=A,PERS_TYPE,CURRENCY,PRICE_BASE,UNIT_MULT,STATISTICAL_OPERATION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP,PERS_EXP_LEV=EXP15", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV;BASE_PER:BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level;BASE_PER:Reference year of earnings data"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;EDUCATION_LEV:Niveau de l'enseignement;BASE_PER:Ann\u00e9e de r\u00e9f\u00e9rence utilis\u00e9e pour les r\u00e9mun\u00e9rations d'actifs occup\u00e9s"}]}, {"common:AnnotationTitle": "0.999999998", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de salaires statutaires des enseignants et des chefs d'\u00e9tablissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory salaries relative to workers' earnings"}, {"@xml:lang": "fr", "#text": "Salaires statutaires des enseignants relatif \u00e0 la r\u00e9mun\u00e9ration des actifs occup\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset compares statutory salaries of teachers with earnings of workers. It covers full-time teachers, in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays data on statutory salaries of teachers (with the most prevalent qualification after 15 years of experience) relative to earnings of tertiary-educated workers. The selection can be changed to display data by qualification level of teachers (the most prevalent qualification to enter the profession or the most prevalent qualification after 15 years of experience), by experience level (only for the most prevalent qualification to enter the profession) and by comparison group (tertiary-educated workers or similarly educated workers).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es compare les salaires statutaires des enseignants avec les revenus des travailleurs. Il couvre les enseignants \u00e0 temps plein, dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (inf\u00e9rieur et sup\u00e9rieur).
Le tableau par d\u00e9faut affiche les donn\u00e9es sur les salaires statutaires des enseignants (avec la qualification la plus r\u00e9pandue apr\u00e8s 15 ans d'exp\u00e9rience) par rapport aux revenus des travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par niveau de qualification des enseignants (la qualification la plus r\u00e9pandue pour acc\u00e9der \u00e0 la profession ou la qualification la plus r\u00e9pandue apr\u00e8s 15 ans d'exp\u00e9rience), par niveau d'exp\u00e9rience (uniquement pour la qualification la plus r\u00e9pandue pour acc\u00e9der \u00e0 la profession) et par groupe de comparaison (travailleurs dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur ou travailleurs ayant suivi une formation similaire).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_STA", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_TREND@DF_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=OECD+OECD_REP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "0.999999990", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers' salaries - full dataset"}, {"@xml:lang": "fr", "#text": "\u00c9volution des salaires des enseignants - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on salaries of teachers since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD averages.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes"}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es est t\u00e9l\u00e9chargeable au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les salaires des enseignants depuis 2000. Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles). La s\u00e9lection par d\u00e9faut affiche toutes les mesures disponibles des moyennes de l'OCDE.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_TREND", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_TREND@DF_EAG_SAL_TREND_ACT", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers\u2019 actual salary since 2000"}, {"@xml:lang": "fr", "#text": "\u00c9volution des salaire effectif des enseignants depuis 2000"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents a trend of actual salaries of teachers (including additional work-related payments) since 2000. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente une tendance des salaires effectifs des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) depuis 2000. Il couvre les enseignants \u00e2g\u00e9s de 25 \u00e0 64 ans, travaillant \u00e0 temps plein dans des \u00e9tablissements publics et enseignant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_TREND", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_TREND@DF_EAG_SAL_TREND_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers' salary - full dataset"}, {"@xml:lang": "fr", "#text": "\u00c9volution des salaire des enseignants - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the trend data for salaries of teachers.
It covers teachers working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data is available from the reference year 2000.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les \u00e9volutions des salaires des enseignants. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, travaillant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es sont disponible depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2000.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_TREND", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_TREND@DF_EAG_SAL_TREND_STA", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers\u2019 statutory salary since 2000"}, {"@xml:lang": "fr", "#text": "\u00c9volution des salaire statutaire des enseignants depuis 2000"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents a trend of statutory salaries of teachers since 2000. It covers teachers working full time in public institutions, teaching in pre-primary, primary and (lower and upper) secondary general education.
For more information, please consult Education at a Glance 2023. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente une tendance des salaires statutaires des enseignants depuis 2000. Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, enseignant dans l'enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Regard sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_TREND", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_TREND@DF_TCH_ACT", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY_PRICE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE,MEASURE,PERS_QUAL_LEV,PERS_EXP_LEV", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers\u2019 actual salaries since 2000"}, {"@xml:lang": "fr", "#text": "\u00c9volution des salaires effectifs des enseignants depuis 2000"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains a trend of actual salaries of teachers (including additional work-related payments) since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays index of change in actual salaries of teachers in primary education aged 25-64. The selection can be changed to display data by education level, and data in national currency.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes"}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente l'\u00e9volution des salaires r\u00e9els des enseignants (y compris les paiements suppl\u00e9mentaires li\u00e9s au travail) depuis 2000. Il couvre les enseignants \u00e0 temps plein des \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche l'indice de variation des salaires r\u00e9els des enseignants de l'enseignement primaire \u00e2g\u00e9s de 25 \u00e0 64 ans. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par niveau d'\u00e9ducation et les donn\u00e9es en monnaie nationale.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_TREND", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_SAL_TREND@DF_TCH_STA", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_CURRENCY_PRICE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE,PERS_EXP_LEV,MEASURE,CURRENCY=_Z,PRICE_BASE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX,PERS_QUAL_LEV=TYP_EXP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CURRENCY_PRICE:Currency and price base"}, {"@xml:lang": "fr", "#text": "COMBINED_CURRENCY_PRICE:Devise et base de prix"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers\u2019 statutory salaries since 2000"}, {"@xml:lang": "fr", "#text": "\u00c9volution des salaires statutaires des enseignants depuis 2000"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains a trend of statutory salaries of teachers since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.
The default table displays index of change in statutory salaries of teachers in primary education after 15 years of experience with the most prevalent qualification at this stage of the career. The selection can be changed to display data by education level and by qualification level, and data in national currency.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes"}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente l'\u00e9volution des salaires statutaires des enseignants depuis 2000. Il couvre les enseignants \u00e0 temps plein des \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycles).
Le tableau par d\u00e9faut affiche l'indice de variation des salaires statutaires des enseignants de l'enseignement primaire apr\u00e8s 15 ans d'exp\u00e9rience avec la qualification la plus r\u00e9pandue \u00e0 ce stade de la carri\u00e8re. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par niveau d'\u00e9ducation et par niveau de qualification, ainsi que les donn\u00e9es en monnaie nationale.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_SAL_TREND", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_INDIC_SHARE_EDU_GOV", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8+ISCED11_1T4+ISCED11_5T8,EXP_SOURCE=S13,PRICE_BASE=_Z,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00013", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of total government expenditure on education"}, {"@xml:lang": "fr", "#text": "Part des d\u00e9penses publiques totales consacr\u00e9es \u00e0 l\u2019\u00e9ducation"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of total government expenditure devoted to education. The default table displays the total government expenditure on education as a share of the total government expenditure on all services by level of education. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des d\u00e9penses publiques totales consacr\u00e9es \u00e0 l'\u00e9ducation. Le tableau par d\u00e9faut affiche les d\u00e9penses publiques totales pour l'\u00e9ducation en proportion des d\u00e9penses publiques totales pour tous les services par niveau d'\u00e9ducation. Veuillez noter que les filtres sont interd\u00e9pendants, ce qui signifie que la s\u00e9lection dans une cat\u00e9gorie peut avoir un impact sur la possibilit\u00e9 de s\u00e9lectionner des options dans une autre cat\u00e9gorie.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_INDIC_SOURCE_NATURE", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8+ISCED11_1T4+ISCED11_5T8,MEASURE=EXP,EXP_SOURCE=S13,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V,Q_SHEET=SOURCE,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00010", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Full dataset - Indicators, source, destination and nature of expenditure on education"}, {"@xml:lang": "fr", "#text": "Ensemble de donn\u00e9es complet - Indicateurs, source, destination et nature des d\u00e9penses d'\u00e9ducation"}], "common:Description": [{"@xml:lang": "en", "#text": "The purpose of this dataset is for download in CSV format. A default selection shows government expenditure on educational institutions simply to accelerate the display and loading of the data.
The dataset contains all indicators as well as the full raw data on the source, destination and nature of expenditure on education in local currency and in USD PPP, in constant and current prices.
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Une s\u00e9lection par d\u00e9faut affiche les d\u00e9penses publiques consacr\u00e9es aux \u00e9tablissements d'enseignement simplement pour acc\u00e9l\u00e9rer l'affichage et le chargement des donn\u00e9es.
L'ensemble de donn\u00e9es contient tous les indicateurs ainsi que les donn\u00e9es brutes compl\u00e8tes sur la source, la destination et la nature des d\u00e9penses d'\u00e9ducation en monnaie locale et en USD PPA, en prix constants et courants.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_NATURE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"common:AnnotationTitle": "1.00009", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Allocation of expenditure (from all sources) - full dataset"}, {"@xml:lang": "fr", "#text": "Nature des d\u00e9penses (toutes sources confondues) - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "The purpose of this dataset is for download in CSV format. It contains the full raw data on the allocation of expenditure in local currency and in USD PPP, in constant and current prices. There is no filter nor default view for this dataset, browsing the data may therefore be slow.
For more information, please consult Education at a Glance 2023. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur la r\u00e9partition des d\u00e9penses en monnaie locale et en dollars des \u00c9-U PPA convertis, en prix constants et courants. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. De plus amples d\u00e9tails sur la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays sont disponibles sur Regards sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_NATURE_CUR_CAP", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,EXPENDITURE_TYPE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8,UNIT_MEASURE=USD_PPP,PRICE_BASE=Q,INST_TYPE_EDU=_T,EXPENDITURE_TYPE=CUR+CAP,EXP_DESTINATION=INST_EDU,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00012", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Capital and total current expenditure on education (from all sources)"}, {"@xml:lang": "fr", "#text": "D\u00e9penses en capital et d\u00e9penses courantes totales d'\u00e9ducation (toutes sources confondues)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on capital and current expenditure on education. The default table displays data in 2015 constant USD PPP, for the combined primary to tertiary levels of education, and for both public and private educational institutions combined. This can be changed to display data by: level of education, type of educational institution, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les d\u00e9penses en capital et courantes en mati\u00e8re d'\u00e9ducation. Le tableau par d\u00e9faut affiche les donn\u00e9es en dollars des \u00c9-U PPA convertis constants de 2015, pour les niveaux d'enseignement primaire \u00e0 tertiaire combin\u00e9s et pour les \u00e9tablissements d'enseignement publics et priv\u00e9s combin\u00e9s. Cela peut \u00eatre modifi\u00e9 pour afficher les donn\u00e9es par\u00a0: niveau d'\u00e9ducation, type d'\u00e9tablissement d'enseignement, devise locale/dollars des \u00c9-U PPA convertis et prix courants/constants. Veuillez noter que les filtres sont interd\u00e9pendants, ce qui signifie que la s\u00e9lection dans une cat\u00e9gorie peut avoir un impact sur la possibilit\u00e9 de s\u00e9lectionner des options dans une autre cat\u00e9gorie.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_NATURE_STAFF", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,EXPENDITURE_TYPE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID,Q_SHEET", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8,UNIT_MEASURE=USD_PPP,PRICE_BASE=Q,EXPENDITURE_TYPE=CUR_LC+CUR_RET+CUR_NLC,EXP_DESTINATION=INST_EDU_PUB+INST_EDU_PRIV_GOV,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00011", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Expenditure on staff compensation in educational institutions (from all sources)"}, {"@xml:lang": "fr", "#text": "D\u00e9penses de r\u00e9mun\u00e9ration du personnel en \u00e9ducation (toutes sources confondues)"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on staff compensation in educational institutions. The default table displays information on expenditure for salaries, pensions and other non-salary benefits in 2015 constant USD PPP, for the combined primary to tertiary levels of education, for public and government dependent private institutions. This can be changed to display data by: level of education, type of institution, type of expenditure, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la r\u00e9mun\u00e9ration du personnel dans les \u00e9tablissements d'enseignement. Le tableau par d\u00e9faut affiche des informations sur les d\u00e9penses en salaires, pensions et autres avantages non salariaux en dollars des \u00c9-U PPA convertis constants de 2015, pour les niveaux combin\u00e9s d'enseignement primaire et sup\u00e9rieur, pour les \u00e9tablissements publics et priv\u00e9s d\u00e9pendant du gouvernement. Cela peut \u00eatre modifi\u00e9 pour afficher les donn\u00e9es par : niveau d'\u00e9ducation, type d'\u00e9tablissement, type de d\u00e9pense, monnaie locale/USD PPA et prix courants/constants. Veuillez noter que les filtres sont interd\u00e9pendants, ce qui signifie que la s\u00e9lection dans une cat\u00e9gorie peut avoir un impact sur la possibilit\u00e9 de s\u00e9lectionner des options dans une autre cat\u00e9gorie.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_SOURCE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"common:AnnotationTitle": "1.00010", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Source and destination of expenditure - full dataset"}, {"@xml:lang": "fr", "#text": "Source et destination des d\u00e9penses - ensemble de donn\u00e9es complet"}], "common:Description": [{"@xml:lang": "en", "#text": "The purpose of this dataset is for download in CSV format. It contains the full raw data on the source and destination of expenditure in local currency and in USD PPP, in constant and current prices. There is no filter nor default view for this dataset, browsing the data may therefore be slow.
For more information, please consult Education at a Glance 2023. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur la source et la destination des d\u00e9penses en monnaie locale et en dollars des \u00c9-U PPA convertis, en prix constants et courants. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. De plus amples d\u00e9tails sur la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays sont disponibles sur Regards sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_FIN_SOURCE_GV_PR_NDOM", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,EXP_SOURCE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID,Q_SHEET=(_Z+SOURCE+NATURE)", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8,EXP_SOURCE=_T+S13+S1D_NON_EDU+S2,EXP_DESTINATION=INST_EDU,PRICE_BASE=Q+_Z,BASE_PER=2015,UNIT_MEASURE=USD_PPP+PT_EXP+PT_B1GQ,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00014", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Distribution of government, private and non-domestic expenditure on educational institutions"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des d\u00e9penses gouvernementales, priv\u00e9es et internationales consacr\u00e9es aux \u00e9tablissements d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on government, private and expenditure on educational institutions. Government expenditure can be brokendown by central, regional (state) and local levels of government. Private sector can also be brokendown by households and other non-educational private sector. Expenditure are reported after transfers between entities, transfers can be from higher to lower levels of government, from the government to the private sector, or from non-domestic source to the government. The default table displays expenditure for the general government, the private sector and non-domestic sources in 2015 constant USD PPP (top section), in percentage of GDP (middle section), and in percentage (distribution by sector, in the bottom section), for the combined primary to tertiary levels of education, and for all public and private educational institutions. This can be changed to display data by: level of education, type of educational institution, level of financing source, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.
Please note that non-domestic expenditure is labelled \"Rest of the world\".
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les d\u00e9penses publiques, priv\u00e9es et internationales consacr\u00e9es aux \u00e9tablissements d'enseignement. Les d\u00e9penses publiques peuvent \u00eatre ventil\u00e9es par niveaux de gouvernement central, r\u00e9gional et local. Le secteur priv\u00e9 peut \u00e9galement \u00eatre ventil\u00e9 entre les m\u00e9nages et les autres secteurs priv\u00e9s non \u00e9ducatifs. Les d\u00e9penses sont d\u00e9clar\u00e9es apr\u00e8s transferts entre entit\u00e9s, les transferts peuvent provenir des niveaux sup\u00e9rieurs de gouvernement vers les niveaux inf\u00e9rieurs de gouvernement, du gouvernment vers le secteur priv\u00e9, ou d'une source internationale vers le gouvernement. Le tableau par d\u00e9faut affiche les d\u00e9penses gouvernementales, du secteur priv\u00e9 et des sources internationales en dollars des \u00c9-U PPA constants de 2015 (section sup\u00e9rieure), en pourcentage du PIB (section centrale), et en pourcentage (r\u00e9partition par secteur, dans la section inf\u00e9rieure), pour les niveaux d'enseignement primaire \u00e0 tertiaire combin\u00e9s, et pour les \u00e9tablissements d\u2019enseignement publics et priv\u00e9s combin\u00e9s. Cela peut \u00eatre modifi\u00e9 pour afficher les donn\u00e9es par : niveau d'\u00e9ducation, type d'\u00e9tablissement d'enseignement, source de financement plus d\u00e9taill\u00e9e, devise locale/dollars des \u00c9-U PPA convertis et prix courants/constants. Veuillez noter que les filtres sont interd\u00e9pendants, ce qui signifie que la s\u00e9lection dans une cat\u00e9gorie peut avoir un impact sur la possibilit\u00e9 de s\u00e9lectionner des options dans une autre cat\u00e9gorie
Veuillez noter que les d\u00e9penses internationales sont identifi\u00e9es comme \u00ab Reste du monde \u00bb.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_INDIC_FIN_GDP", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,EXP_SOURCE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8,EXP_SOURCE=_T+S13+S1D_NON_EDU+S2,EXP_DESTINATION=INST_EDU,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00011", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Expenditure on educational institutions as a percentage of GDP"}, {"@xml:lang": "fr", "#text": "D\u00e9penses d'\u00e9ducation en pourcentage du PIB"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on expenditure on educational institutions as a percentage of GDP. The default table displays expenditure for the general government, the private sector and non-domestic sources, for the combined primary to tertiary levels of education, and for all public and private educational institutions. This can be changed to display data by: level of education, and type of educational institution.
Please note that non-domestic expenditure is labelled \"Rest of the world\".
For more information, please consult Education at a Glance 2023. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2023 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les d\u00e9penses consacr\u00e9es aux \u00e9tablissements d'enseignement en pourcentage du PIB. Le tableau par d\u00e9faut affiche les d\u00e9penses pour les administrations publiques, le secteur priv\u00e9 et les sources internationales, pour les niveaux d'enseignement primaire \u00e0 tertiaire combin\u00e9s et pour tous les \u00e9tablissements d'enseignement publics et priv\u00e9s combin\u00e9s. Cela peut \u00eatre modifi\u00e9 pour afficher les donn\u00e9es par\u00a0: niveau d'\u00e9ducation et type d'\u00e9tablissement d'enseignement.
Veuillez noter que les d\u00e9penses de source internationale sont identifi\u00e9es comme \u00ab Reste du monde \u00bb.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2023. De plus amples d\u00e9tails sur la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays sont disponibles sur Regards sur l'\u00e9ducation 2023 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN@DF_UOE_INDIC_FIN_PERSTUD", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_5T8+ISCED11_6T8+ISCED11_1T8,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,EXP_SOURCE=_T,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V+_Z,UNIT_MEASURE=USD_PPP_ST+PT_B1GQ_POP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "1.00015", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Expenditure on educational institutions per full-time equivalent student"}, {"@xml:lang": "fr", "#text": "D\u00e9penses unitaires d'\u00e9ducation en \u00e9quivalents temps plein"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on expenditure per full-time equivalent student and per full-time equivalent student as a percentage of GPD per capita. The default table displays data for 2021 in current USD PPP and as a percentage of GDP per capita, from all expenditure sources, and unfiltered by type of expenditure. The selection can be changed to display data: by year, by source of expenditure, by destination of expenditure and by type of expenditure. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les d\u00e9penses par \u00e9tudiant \u00e9quivalent temps plein et par \u00e9tudiant \u00e9quivalent temps plein en pourcentage du PIB par habitant. Le tableau par d\u00e9faut affiche les donn\u00e9es pour 2021 en dollars des \u00c9-U PPA convertis courants et en pourcentage du PIB par habitant, provenant de toutes les sources de d\u00e9penses, et non filtr\u00e9es par type de d\u00e9penses. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, par source de d\u00e9penses, par destination de d\u00e9penses et par type de d\u00e9penses. Veuillez noter que les filtres sont interd\u00e9pendants, ce qui signifie que la s\u00e9lection dans une cat\u00e9gorie peut avoir un impact sur la possibilit\u00e9 de s\u00e9lectionner des options dans une autre cat\u00e9gorie.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN_ANNEX@DF_UOE_FIN_ANNEX", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Reference statistics for education finance indicators"}, {"@xml:lang": "fr", "#text": "Statistiques de r\u00e9f\u00e9rence pour les indicateurs de d\u00e9penses d'\u00e9ducation"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains reference statistics that are used in the calculation of education expenditure data. This dataset includes information on Gross domestic product (GDP), GDP per capita, GDP adjusted to the education finance data, on Purchasing Power Parities for GDP, on GDP deflator, on population, and on government expenditure on all services.\n\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des statistiques de r\u00e9f\u00e9rence qui sont utilis\u00e9es dans le calcul des donn\u00e9es sur les d\u00e9penses d'\u00e9ducation. Cet ensemble de donn\u00e9es comprend des informations sur le produit int\u00e9rieur brut (PIB), le PIB par habitant, le PIB ajust\u00e9 aux donn\u00e9es de financement de l'\u00e9ducation, sur les parit\u00e9s de pouvoir d'achat pour le PIB, sur le PIB. d\u00e9flateur, sur la population et sur les d\u00e9penses publiques pour tous les services.\n\n
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN_ANNEX", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_FIN_ENR@DF_UOE_FIN_ENR", "@agencyID": "OECD.EDU.IMEP", "@version": "3.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,INTENSITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "INST_TYPE_EDU", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "LAYOUT_TIME_PERIOD_DESC", "common:AnnotationType": "LAYOUT_TIME_PERIOD_DESC"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1T8", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Enrolment data adjusted to the financial year"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9l\u00e8ves inscrits ajust\u00e9 \u00e0 l'exercice financier"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on enrolment data adjusted to the financial year. This information is only used to calculate the expenditure per student and is provided as a reference statistics. It should NOT be used as the official enrolment figures.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves inscrits ajust\u00e9s \u00e0 l'exercice financier. Ces informations sont utilis\u00e9es uniquement pour calculer les d\u00e9penses par \u00e9l\u00e8ve et sont fournies \u00e0 titre de statistiques de r\u00e9f\u00e9rence. Elles ne doivent PAS \u00eatre utilis\u00e9es comme chiffres officiels du nombre d'\u00e9l\u00e8ves inscrits.\n
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_FIN_ENR", "@version": "3.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_AGE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=Y_LT30+Y30T49+Y_GE50", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of teachers by age range"}, {"@xml:lang": "fr", "#text": "R\u00e9partition d\u2019enseignants par groupe d\u2019\u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by age range. The default table displays 2022 data for a subset of education levels. The selection can be changed to display data: by year, other levels of education and sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des enseignants (CITE 0-4) et du personnel acad\u00e9mique (CITE 5-8) par groupe d'\u00e2ge. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022 pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'enseignement et sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_CLS", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "INST_TYPE_EDU", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Average class size"}, {"@xml:lang": "fr", "#text": "Taille moyenne des classes"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the average class size by type of institution. The default table displays 2022 data. The selection can be changed to display data by year.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la taille moyenne des classes par type d'\u00e9tablissement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par ann\u00e9e.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_RAW_AGE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=_T+Y_LT25+Y25T29+Y30T34+Y35T39+Y40T44+Y45T49+Y50T54+Y55T59+Y60T64+Y_GE65+_U", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of classroom teachers and academic staff by age"}, {"@xml:lang": "fr", "#text": "Nombre d'enseignants et du personnel acad\u00e9mique par \u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by age. The default table displays 2022 data for a subset of education levels. The selection can be changed to display data: by year, other levels of education and sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'enseignants (CITE 0-4) et de personnel acad\u00e9mique (CITE 5-8) par \u00e2ge. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022 pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'enseignement et sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_RAW_INST", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "INST_TYPE_EDU", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,INTENSITY=_T", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of classroom teachers and academic staffs by type of institution"}, {"@xml:lang": "fr", "#text": "Nombre d'enseignants et du personnel acad\u00e9mique selon le type d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by type of institution. The default table displays 2022 data for a subset of education levels. The selection can be changed to display data: by year, other levels of education, intensity and sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'enseignants (CITE 0-4) et de personnel acad\u00e9mique (CITE 5-8) par type d'\u00e9tablissement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022 pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'enseignement, intensit\u00e9 et sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_RAW_INST2", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,INTENSITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of teacher aides"}, {"@xml:lang": "fr", "#text": "Nombre des aides-enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of teacher aides (ISCED 0-3). The default table displays 2022 data. The selection can be changed to display data: by year and sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre des aides-enseignants (CITE 0-3). Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_SEX", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=Y_LT30+Y30T49+Y_GE50,SEX=F", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of teachers by gender and age range"}, {"@xml:lang": "fr", "#text": "Part d\u2019enseignants selon le sexe et par groupe d'\u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by gender and age range. The default table displays 2022 data fro women and for a subset of education levels and age groups. The selection can be changed to display data: by year, other levels of education/age groups and men.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des enseignants (CITE 0-4) et du personnel acad\u00e9mique (CITE 5-8) par sexe et groupe d'\u00e2ge. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022 pour les femmes et pour un sous-ensemble de niveaux d'\u00e9ducation et de groupes d'\u00e2ge. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'\u00e9ducation/groupes d'\u00e2ge et hommes.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_STR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "INST_TYPE_EDU", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Ratio of students to teaching staff by type of institution"}, {"@xml:lang": "fr", "#text": "Nombre d\u2019\u00e9l\u00e8ves/\u00e9tudiants par enseignant selon le type d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the ratio of students to classroom teachers (ISCED 0-4) or academic staff (ISCED 5-8) by type of institution. The default table displays 2022 data. The selection can be changed to display data by year.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves/enseignants (CITE 0-4) ou personnel acad\u00e9mique (CITE 5-8) par type d'\u00e9tablissement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par ann\u00e9e.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_PERS_STU", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,INTENSITY=_T", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of students adjusted to classroom teachers and academic staffs by type of institution"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9l\u00e8ves ajust\u00e9s pour les enseignants et du personnel acad\u00e9mique selon le type d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of students adjusted to classroom teachers and academic staffs by type of institution. The default table displays 2022 data. The selection can be changed to display data by year.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves ajust\u00e9s pour les enseignants et du personnel acad\u00e9mique selon le type d\u2019\u00e9tablissement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par ann\u00e9e.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_PERS@DF_UOE_NF_TEACH_DB", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": {"@xml:lang": "en", "#text": "Teachers (full database)"}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_PERS", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_DIST_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_5T8+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=GRAD,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10+_TX_U,SEX=_T,MOBILITY=_T", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Distribution of enrolled students, new entrants and graduates by field of education"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des \u00e9l\u00e8ves inscrits, des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s par domaine d'\u00e9tudes"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the distribution of enrolled students, new entrants and graduates by field of education. The default table displays 2022 graduates data for the main fields of education and tertiary levels of education. The selection can be changed to display data: by year, other education levels, subset of fields of education, mobility status, sex and measure (students enrolled, new entrants).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la r\u00e9partition des \u00e9l\u00e8ves inscrits, des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s par domaine d'\u00e9tudes. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les dipl\u00f4m\u00e9s de 2022 pour les principaux domaines d'\u00e9tudes et les niveaux d'enseignement sup\u00e9rieur. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'enseignement, sous-ensemble de domaines d'\u00e9tudes, statut de mobilit\u00e9, sexe et mesure (\u00e9tudiants inscrits, nouveaux inscrits).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_DIST_RPTR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,SEX", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T+F+M,MEASURE=RPTR,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Repetition rate by level of education"}, {"@xml:lang": "fr", "#text": "Taux de redoublement par niveau d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the repetition rate by level of education. The default table displays 2022 data. The selection can be changed to display data by year.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le taux de redoublement par niveau d'enseignement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par ann\u00e9e.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_DIST_VET", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_25+ISCED11_35+ISCED11_45+ISCED11_55", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Distribution of students in vocational education and training programmes by level of education"}, {"@xml:lang": "fr", "#text": "R\u00e9partition des \u00e9tudiants dans les programmes d'enseignement et de formation professionnels (EFP) par niveau d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the distribution of students in vocational education and training programmes by level of education. The default table displays 2022 data. The selection can be changed to display data: by year and by sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la r\u00e9partition des \u00e9tudiants dans les programmes d'enseignement et de formation professionnels (EFP) par niveau d'enseignement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_ENRL_RATE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=_T,AGE=Y_LT3+Y3T5+Y6T14+Y15T19+Y20T24+Y25T29,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Enrolment rate by age"}, {"@xml:lang": "fr", "#text": "Taux de scolarisation par \u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on enrolment rate by age. The default table displays data for all levels of education, for the year 2022 and for a subset of age groups. The selection can be changed to display data: by year, sex and other age groups.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le taux de scolarisation par \u00e2ge. Le tableau par d\u00e9faut affiche les donn\u00e9es pour tous les niveaux d'enseignement, pour l'ann\u00e9e 2022 et pour un sous-ensemble de groupes d'\u00e2ge. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, par sexe et par autres groupes d'\u00e2ge.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_MEAN_AGE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=NENT+GRAD,SEX=_T,MOBILITY=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Mean age of enrolled students, new entrants and graduates"}, {"@xml:lang": "fr", "#text": "\u00c2ge moyen des \u00e9l\u00e8ves/\u00e9tudiants inscrits, des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on mean age of enrolled students, new entrants and graduates. The default table displays 2022 graduates and new entrants data for diferent tertiary levels of education. The selection can be changed to display data: by year, other levels of education, sex, mobility status and measure (enrolments).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur l'\u00e2ge moyen des \u00e9l\u00e8ves/\u00e9tudiants inscrits, des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les dipl\u00f4m\u00e9s et les nouveaux inscrits de 2022 pour diff\u00e9rents niveaux d'enseignement sup\u00e9rieur. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'enseignement, sexe, statut de mobilit\u00e9 et mesure (inscriptions).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_NAT_MOB", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ORIGIN", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,EDUCATION_LEVEL,ORIGIN,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of national tertiary students enrolled abroad"}, {"@xml:lang": "fr", "#text": "Part d'\u00e9tudiants nationaux mobiles \u00e0 l'\u00e9tranger"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of national students going abroad.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part d'\u00e9tudiants nationaux mobiles \u00e0 l'\u00e9tranger.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_NR_NAT_ABROAD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ORIGIN", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,EDUCATION_LEVEL,ORIGIN,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of national tertiary students enrolled abroad"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9tudiants nationaux mobiles \u00e0 l'\u00e9tranger"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the total number of mobile national students abroad.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9tudiants nationaux mobiles \u00e0 l'\u00e9tranger.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_RAW_ADULT", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of enrolled adults by age and level of education"}, {"@xml:lang": "fr", "#text": "Nombre d'adultes inscrits par \u00e2ge et niveau d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of enrolled adults by age and level of education. The default table displays 2022 data for all men and women. The selection can be changed to display data: by year and by sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'adultes inscrits par \u00e2ge et par niveau d'enseignement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022 pour tous les hommes et toutes les femmes. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_RAW_AGE", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,REF_AREA=AUS", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of enrolled students, new entrants and graduates by age"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9l\u00e8ves/\u00e9tudiants inscrits, de nouvel inscrits (entrants) et de dipl\u00f4m\u00e9s par \u00e2ge"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of enrolled students, new entrants and graduates by age. The default table displays data on enrolled students in Australia for 2022 and for a subset of education levels. The selection can be changed to display data: by year, reference area, mobility status, sex, age and measure (graduates, new entrants).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves/\u00e9tudiants inscrits, de nouvel inscrits (entrants) et de dipl\u00f4m\u00e9s par \u00e2ge. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les \u00e9tudiants inscrits en Australie pour 2022 et pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, zone de r\u00e9f\u00e9rence, statut de mobilit\u00e9, sexe, \u00e2ge et mesure (dipl\u00f4m\u00e9s, nouveaux inscrits).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_RAW_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_746_756_766+ISCED11_8,MEASURE=GRAD,SEX=_T,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,MOBILITY=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of enrolled students, graduates and new entrants by field of education"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9l\u00e8ves inscrits, de dipl\u00f4m\u00e9s et de nouveaux inscrits (entrants) par domaine d\u2019\u00e9tudes"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of enrolled students, new entrants and graduates by field of education. The default table displays 2022 graduates data for the main fields of education and tertiary levels of education. The selection can be changed to display data: by year, other education levels, subset of fields of education, mobility status, sex and measure (students enrolled, new entrants).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves inscrits, de dipl\u00f4m\u00e9s et de nouveaux inscrits (entrants) par domaine d\u2019\u00e9tudes. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les dipl\u00f4m\u00e9s de 2022 pour les principaux domaines d'\u00e9tudes et les niveaux d'enseignement sup\u00e9rieur. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, autres niveaux d'enseignement, sous-ensemble de domaines d'\u00e9tudes, statut de mobilit\u00e9, sexe et mesure (\u00e9tudiants inscrits, nouveaux inscrits).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_RAW_INST", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "INST_TYPE_EDU", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,INTENSITY=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of enrolled students and graduates by type of institution"}, {"@xml:lang": "fr", "#text": "Nombre d\u2019\u00e9l\u00e8ves/\u00e9tudiants scolaris\u00e9s selon le type d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of enrolled students and graduates by type of institution. The default table displays data on enrolled students in 2022 and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d\u2019\u00e9l\u00e8ves/\u00e9tudiants scolaris\u00e9s selon le type d\u2019\u00e9tablissement. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les \u00e9l\u00e8ves/\u00e9tudiants inscrits en 2022 et pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, par intensit\u00e9, par sexe et par mesure (dipl\u00f4m\u00e9s).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_RAW_MOB", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ORIGIN", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8+ISCED11_5T8,MEASURE=ENRL,SEX=_T,REF_AREA=AUS", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of mobile students enrolled and graduated by country of origin"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9l\u00e8ves/\u00e9tudiants inscrits et dipl\u00f4m\u00e9s mobiles par pays d'origine"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of mobile students enrolled and graduated by country of origin. The default table displays data on enrolled students in Australia for 2022. The selection can be changed to display data: by year, reference area, sex and measure (graduates).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves/\u00e9tudiants inscrits et dipl\u00f4m\u00e9s mobiles par pays d'origine. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les \u00e9tudiants inscrits en Australie pour 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, zone de r\u00e9f\u00e9rence, sexe et mesure (dipl\u00f4m\u00e9s).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_RAW_RPTR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV,GRADE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of students and repeaters by grade and level of education"}, {"@xml:lang": "fr", "#text": "Nombre d'\u00e9l\u00e8ves et de redoublants par ann\u00e9e d'\u00e9tudes et niveau d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the number of students (initial education only) and repeaters by grade and level of education. The default table displays 2022 data for all ages. The selection can be changed to display data: by year, by age (only for the number of students by grade) and sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le nombre d'\u00e9l\u00e8ves (formation initiale uniquement) et de redoublants par ann\u00e9e d'\u00e9tudes et niveau d'enseignement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022 pour tous les \u00e2ges. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, par \u00e2ge (uniquement pour le nombre d'\u00e9l\u00e8ves par ann\u00e9e d'\u00e9tudes) et par sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_FIELD", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_FIELD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_5T8,MEASURE=GRAD,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10+_T,SEX=F+M,MOBILITY=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of new entrants and graduates in each field of education by gender"}, {"@xml:lang": "fr", "#text": "Part des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s dans chaque domaine d'\u00e9tudes selon le sexe"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of new entrants and graduates in each field of education by gender. The default table displays tertiary graduates data for 2022. The selection can be changed to display data: by year, specific education levels, mobility status, sex and measure (new entrants).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s dans chaque domaine d'\u00e9tudes selon le sexe. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur pour 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, niveaux d'\u00e9tudes sp\u00e9cifiques, statut de mobilit\u00e9, sexe et mesure (nouveaux inscrits).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_FIRST", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7,SEX=_T,MOBILITY=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of new entrants to and first-time graduates at tertiary education"}, {"@xml:lang": "fr", "#text": "Part de nouveaux inscrits (premi\u00e8re inscription) et de dipl\u00f4m\u00e9s (premier dipl\u00f4me) de l'enseignement sup\u00e9rieur"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of new entrants to and first-time graduates at tertiary education. The default table displays tertiary new entrants and graduates data for 2022. The selection can be changed to display data: by year, sex and mobility status. Data correspond to the concept of first-time tertiary, i.e. person who has enter (new entrants) or successfully completed (graduates) an education programme at the tertiary level for the first time. The student may have entered / completed the programme at either ISCED level 5 (short-cyle tertiary) , 6 (bachelor) or 7 (master long first degree).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part de nouveaux inscrits (premi\u00e8re inscription) et de dipl\u00f4m\u00e9s (premier dipl\u00f4me) de l'enseignement sup\u00e9rieur. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les nouveaux inscrits et les dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur pour 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, sexe et statut de mobilit\u00e9. Les donn\u00e9es correspondent au concept de premier entrant dans l'enseignement sup\u00e9rieur, c'est-\u00e0-dire une personne qui est entr\u00e9e (nouveaux inscrit) ou a termin\u00e9 avec succ\u00e8s (dipl\u00f4m\u00e9) un programme d'enseignement au niveau tertiaire pour la premi\u00e8re fois. L'\u00e9tudiant peut avoir commenc\u00e9/achev\u00e9 le programme au niveau CITE 5 (enseignement sup\u00e9rieur de cycle court), 6 (licence) ou 7 (master de premier cycle).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_GENDER", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=F+M,MOBILITY=_T,MEASURE=GRAD,EDUCATION_LEV=ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of enrolled students, new entrants and graduates by gender"}, {"@xml:lang": "fr", "#text": "Part d'\u00e9l\u00e8ves/\u00e9tudiants inscrits, des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s selon le sexe"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of enrolled students, new entrants and graduates by gender. The default table displays 2022 graduates data for a subset of education levels. The selection can be changed to display data: by year, mobility status, sex and measure (enrolled students, new entrants).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des \u00e9tudiants inscrits, des nouveaux inscrits et des dipl\u00f4m\u00e9s par sexe. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les dipl\u00f4m\u00e9s de 2022 pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, statut de mobilit\u00e9, sexe et mesure (\u00e9tudiants inscrits, nouveaux inscrits).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_INST", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "INST_TYPE_EDU", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,MEASURE=ENRL,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_5++ISCED11_6+ISCED11_7+ISCED11_8,INST_TYPE_EDU=INST_EDU_PUB+INST_EDU_PRIV+INST_EDU_PRIV_GOV+INST_EDU_PRIV_IND", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Distribution of enrolled students and graduates by type of institution"}, {"@xml:lang": "fr", "#text": "R\u00e9partition d\u2019\u00e9l\u00e8ves/\u00e9tudiants scolaris\u00e9s selon le type d\u2019\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the distribution of enrolled students and graduates by type of institution. The default table displays data on enrolled students in 2022 and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la r\u00e9partition d\u2019\u00e9l\u00e8ves/\u00e9tudiants scolaris\u00e9s selon le type d\u2019\u00e9tablissement. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les \u00e9l\u00e8ves/\u00e9tudiants inscrits en 2022 et pour un sous-ensemble de niveaux d'enseignement. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, par intensit\u00e9, par sexe et par mesure (dipl\u00f4m\u00e9s).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_MOB", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,MEASURE=GRAD,SEX=_T,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of mobile enrolments, new entrants and graduates"}, {"@xml:lang": "fr", "#text": "Part des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s mobiles"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of mobile new entrants and graduates by tertiary levels. The default table displays tertiary graduates data for 2022. The selection can be changed to display data: by year, sex and measure (new entrants). Data for short-cyle tertiary, bachelor's, master's combined correspond to the concept of first-time tertiary, i.e. person who has enter (new entrants) or successfully completed (graduates) an education programme at the tertiary level for the first time. The student may have entered / completed the programme at either ISCED level 5 (short-cyle tertiary) , 6 (bachelor) or 7 (master long first degree).\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des nouveaux inscrits (entrants) et des dipl\u00f4m\u00e9s mobiles. Le tableau par d\u00e9faut affiche les donn\u00e9es sur les dipl\u00f4m\u00e9s de l'enseignement sup\u00e9rieur pour 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e, sexe et mesure (nouveaux inscrits). Les donn\u00e9es pour l'enseignement sup\u00e9rieur de cycle court, la licence et le master combin\u00e9s correspondent au concept de premier cycle sup\u00e9rieur, c'est-\u00e0-dire une personne qui est entr\u00e9e (nouveaux inscrits) ou a termin\u00e9 avec succ\u00e8s (dipl\u00f4m\u00e9) un programme d'enseignement au niveau tertiaire pour la premi\u00e8re fois. L'\u00e9tudiant peut avoir commenc\u00e9/achev\u00e9 le programme au niveau CITE 5 (enseignement sup\u00e9rieur de cycle court), 6 (licence) ou 7 (master long premier dipl\u00f4me).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_MOB_DEST", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "DESTINATION", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,MEASURE,EDUCATION_LEVEL", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,DESTINATION=E+F+A2+A9+O+S+W", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of mobile students enrolled at tertiary level by country of destination"}, {"@xml:lang": "fr", "#text": "Part d\u2019\u00e9tudiants en mobilit\u00e9 internationale par pays d\u2019accueil"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of mobile students by country of destination. The default table displays data by region of destination for 2022. The selection can be changed to display data: by year and by country of destination.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des \u00e9tudiants mobiles par pays de destination. Le tableau par d\u00e9faut affiche les donn\u00e9es par r\u00e9gion de destination pour 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par pays de destination.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_MOB_ORG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ORIGIN", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,MEASURE,EDUCATION_LEVEL", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,ORIGIN=E+F+A2+A9+O+S+W", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of mobile students enrolled at tertiary level by country of origin"}, {"@xml:lang": "fr", "#text": "Part d\u2019\u00e9tudiants en mobilit\u00e9 internationale par pays d\u2019origine"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of mobile students by country of origin. The default table displays data by region of origin for 2022. The selection can be changed to display data: by year and by country of origin.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part d\u2019\u00e9tudiants en mobilit\u00e9 internationale par pays d\u2019origine. Le tableau par d\u00e9faut affiche les donn\u00e9es par r\u00e9gion d'origine pour 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par pays d'origine.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_PT_FT", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "INTENSITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of enrolled part-time and full-time students"}, {"@xml:lang": "fr", "#text": "Part d'\u00e9l\u00e8ves/\u00e9tudiants inscrits \u00e0 temps partiel et \u00e0 temps plein"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of enrolled part-time and full-time students. The default table displays 2022 data. The selection can be changed to display data: by year and by sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part d'\u00e9l\u00e8ves/\u00e9tudiants inscrits \u00e0 temps partiel et \u00e0 temps plein. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_RPTR", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=F+M,MEASURE=RPTR,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of repeaters by gender and level of education"}, {"@xml:lang": "fr", "#text": "Part des redoublants selon le sexe et le niveau d'enseignement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of repeaters by gender and level of education. The default table displays 2022 data. The selection can be changed to display data by year.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part des redoublants par sexe et niveau d'enseignement. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es par ann\u00e9e.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_SHARE_VET", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_35SW+ISCED11_45SW+ISCED11_55SW,SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Share of students enrolled in school and work-based programmes"}, {"@xml:lang": "fr", "#text": "Part d'\u00e9l\u00e8ves/\u00e9tudiants scolaris\u00e9s dans des programmes emploi-\u00e9tudes parmi les \u00e9tudiants scolaris\u00e9s dans des programmes d'EFP"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on the share of students enrolled in school and work-based programmes. The default table displays 2022 data. The selection can be changed to display data: by year and by sex.\n
For more information, please consult Education at a Glance 2024 and the OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur la part d'\u00e9l\u00e8ves/\u00e9tudiants scolaris\u00e9s dans des programmes emploi-\u00e9tudes parmi les \u00e9tudiants scolaris\u00e9s dans des programmes d'EFP. Le tableau par d\u00e9faut affiche les donn\u00e9es de 2022. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es : par ann\u00e9e et par sexe.
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2024 et le Guide de l'OCDE pour l'\u00e9tablissement de statistiques internationalement comparables dans le domaine de l'\u00e9ducation 2018. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Regard sur l'\u00e9ducation 2024 Sources, m\u00e9thodologies et notes techniques."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_UOE_NON_FIN_STUD@DF_UOE_NF_STUD_DB", "@agencyID": "OECD.EDU.IMEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": {"@xml:lang": "en", "#text": "Student (full database)"}, "structure:Structure": {"Ref": {"@id": "DSD_EAG_UOE_NON_FIN_STUD", "@version": "1.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_ACT_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "0.999999995", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual teaching time"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement annuel effectif des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on actual teaching time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). The table displays data in hours per year.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur le temps d'enseignement r\u00e9el des enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire (premier et deuxi\u00e8me cycles) (programmes g\u00e9n\u00e9raux et professionnels). Le tableau affiche les donn\u00e9es en heures par an.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35,REF_AREA=OECD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "0.999999990", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teaching and working time of teachers - full dataset"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement et de travail des enseignants - ensemble complet de donn\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on teaching and working time of teachers.
It covers full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). The default selection shows all available measures of the OECD average.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es est t\u00e9l\u00e9chargeable au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur le temps d'enseignement et de travail des enseignants.
Il couvre les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9primaire, primaire et secondaire (premier et deuxi\u00e8me cycles) (programmes g\u00e9n\u00e9raux et professionnels). La s\u00e9lection par d\u00e9faut affiche toutes les mesures disponibles de la moyenne de l'OCDE.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_EAG_WT_ACT_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2020,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' actual annual teaching time"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement annuel effectif des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on actual teaching time of full-time teachers (including overtime) in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2020 (school year 2019/20 or 2020), unless stated otherwise.
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente le temps d'enseignement r\u00e9el des enseignants \u00e0 temps plein (y compris les heures suppl\u00e9mentaires) dans les \u00e9tablissements publics en l'enseignement pr\u00e9primaire, primaire et secondaire (programmes g\u00e9n\u00e9raux et professionnels). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2020 (ann\u00e9e scolaire 2019/20 ou 2020), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_EAG_WT_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2021,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE=TE,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,UNIT_MEASURE=H_Y,MEASURE=WKT_STA_TCH+WKT_STA_WKT+WKT_STA_WKS", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teaching and working time of teachers and school heads - full dataset"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement et de travail des enseignants et des chefs d'\u00e9tablissement - ensemble complet de donn\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on teaching and working time of teachers and school heads.
It covers full-time teachers and school heads in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les temps d'enseignement et de travail des enseignants et des chefs d'\u00e9tablissement. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Il couvre les enseignants et les chefs d'\u00e9tablissement travaillant \u00e0 plein temps dans des \u00e9tablissements publics, travaillant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2020 (ann\u00e9e scolaire 2019/20 ou 2020), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_EAG_WT_STA_SCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;EDUCATION_LEV:Niveau de l'enseignement"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "School heads' working time"}, {"@xml:lang": "fr", "#text": "Temps de travail des chefs d'\u00e9tablissement"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on statutory requirement on working time (and teaching time, if applicable) of full-time school heads in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente des donn\u00e9es sur les exigences l\u00e9gales en mati\u00e8re de temps de travail (et de temps d'enseignement) des chefs d'\u00e9tablissement travaillant \u00e0 temps plein dans les \u00e9tablissements publics, dans l'enseignement pr\u00e9primaire, primaire et secondaire (premier et deuxi\u00e8me cycles de programmes g\u00e9n\u00e9raux et professionnels). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2021 (ann\u00e9e scolaire 2020/21 ou 2021), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_EAG_WT_STA_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;EDUCATION_LEV:Niveau de l'enseignement"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory teaching and working time"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement et de travail statutaire des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on statutory requirement on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente des donn\u00e9es sur les exigences l\u00e9gales en mati\u00e8re de temps d'enseignement et temps de travail des enseignants travaillant \u00e0 temps plein dans les \u00e9tablissements publics, enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire (premier et deuxi\u00e8me cycles de programmes g\u00e9n\u00e9raux et professionnels). Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2021 (ann\u00e9e scolaire 2020/21 ou 2021), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_EAG_WT_STA_TCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+KOR+KR011+KR012+KR013+KR021+KR022+KR023+KR031+KR032+KR041+KR042+KR043+KR051+KR052+KR053+KR054+KR061+KR071+GBR+UKB+UKL+UKM+UKN,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;EDUCATION_LEV:Niveau de l'enseignement"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory teaching and working time (subnational data)"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement et de travail statutaire des enseignants (donn\u00e9es infranationales)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents data on statutory requirement on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes) for some subnational entities. Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente des donn\u00e9es sur les exigences l\u00e9gales en mati\u00e8re de temps d'enseignement et temps de travail des enseignants travaillant \u00e0 temps plein dans les \u00e9tablissements publics, enseignant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire (premier et deuxi\u00e8me cycles de programmes g\u00e9n\u00e9raux et professionnels) pour certaines entit\u00e9s infranationales. Les donn\u00e9es se r\u00e9f\u00e8rent \u00e0 l'ann\u00e9e de r\u00e9f\u00e9rence 2021 (ann\u00e9e scolaire 2020/21 ou 2021), sauf indication contraire.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_STA_TCH", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=WKT_STA_TCH,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory teaching and working time"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement et de travail statutaire des enseignants"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains data on statutory requirements on teaching and working time of teachers. It covers requirements for full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes).
The default table displays data on teaching time (in hours, days and weeks per year). The selection can be changed to display data in working time (total working time or working time required at school, in hours per year).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes.
For historical data on statutory teaching hours, see Trends in teachers' statutory teaching time since 2000.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les exigences l\u00e9gales en mati\u00e8re de temps d'enseignement et de travail des enseignants. Il couvre les exigences pour les enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire (premier et deuxi\u00e8me cycles) (programmes g\u00e9n\u00e9raux et professionnels).
Le tableau par d\u00e9faut affiche les donn\u00e9es sur le temps d'enseignement (en heures, jours et semaines par an). La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es sur le temps de travail (temps de travail total ou temps de travail requis \u00e0 l'\u00e9cole, en heures par an).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais).
Pour des donn\u00e9es historiques sur le temps d'enseignement statutaires, voir \u00c9volution du temps d'enseignement statutaire des enseignants depuis 2000.
"}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT@DF_STA_TCH_REG", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,EDUCATION_LEV", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "REF_PERIOD,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=WKT_STA_TCH,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "0.999999997", "common:AnnotationType": "SEARCH_WEIGHT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}, {"@xml:lang": "fr", "#text": "Toutes les donn\u00e9es de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Teachers' statutory teaching and working time - Subnational entities"}, {"@xml:lang": "fr", "#text": "Temps d'enseignement et de travail statutaire des enseignants - Entit\u00e9s infranationales"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains data on statutory requirements on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes) in subnational entities of some countries.
The default table displays data on teaching time (in hours, days and weeks per year). The selection can be changed to display data on working time (total working time or working time required at school, in hours per year).
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es contient des donn\u00e9es sur les exigences r\u00e9glementaires en mati\u00e8re de temps d'enseignement et de travail des enseignants \u00e0 temps plein dans les \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire et secondaire (premier et deuxi\u00e8me cycles) (programmes g\u00e9n\u00e9raux et professionnels) dans les entit\u00e9s infranationales de certains pays.
Le tableau par d\u00e9faut affiche les donn\u00e9es sur le temps d'enseignement (en heures, jours et semaines par an). La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es sur le temps de travail (temps de travail total ou temps de travail requis \u00e0 l'\u00e9cole, en heures par an).
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT_TREND@DF_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers' statutory teaching time since 2000"}, {"@xml:lang": "fr", "#text": "\u00c9volution du temps d'enseignement statutaire des enseignants depuis 2000"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains a trend of statutory teaching time requirement since 2000. It covers full-time teachers in public institutions in pre-primary, primary, lower secondary education (general programmes) and upper secondary general programmes.
The default table displays data in hours per year for teachers at the primary level. The selection can be changed to display data on different years and on different levels of education.
For more information, please consult Education at a Glance 2024. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in Education at a Glance 2024 Sources, Methodologies and Technical Notes."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente l'\u00e9volution du temps d'enseignement r\u00e9glementaire depuis 2000. Il couvre les enseignants \u00e0 temps plein des \u00e9tablissements publics de l'enseignement pr\u00e9scolaire, primaire, secondaire inf\u00e9rieur (programmes g\u00e9n\u00e9raux) et secondaire sup\u00e9rieur (programmes g\u00e9n\u00e9raux).
Le tableau par d\u00e9faut affiche les donn\u00e9es en heures par an pour les enseignants du primaire. La s\u00e9lection peut \u00eatre modifi\u00e9e pour afficher les donn\u00e9es sur diff\u00e9rentes ann\u00e9es et sur diff\u00e9rents niveaux d'enseignement.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2024. Des d\u00e9tails suppl\u00e9mentaires concernant la m\u00e9thodologie utilis\u00e9e, les r\u00e9f\u00e9rences aux sources et les notes sp\u00e9cifiques \u00e0 chaque pays peuvent \u00eatre trouv\u00e9s dans Education at a Glance 2024 Sources, Methodologies and Technical Notes (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT_TREND", "@version": "2.0", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT_TREND@DF_EAG_WT_TREND", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teachers' statutory teaching time since 2000"}, {"@xml:lang": "fr", "#text": "\u00c9volution du temps d'enseignement statutaire des enseignants depuis 2000"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents a trend of statutory teaching time requirement since 2000. It covers teachers working full time in public institutions, teaching in pre-primary, primary and (lower and upper) secondary education (general and vocational programmes).
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es pr\u00e9sente une tendance des exigences l\u00e9gales en mati\u00e8re de temps d'enseignement depuis 2000. Il couvre les enseignants travaillant \u00e0 temps plein dans des \u00e9tablissements publics, enseignant dans l'enseignement pr\u00e9primaire, primaire et secondaire (premier et deuxi\u00e8me cycles de programmes g\u00e9n\u00e9raux et professionnels).
Pour plus d'informations, veuillez consulter Regard sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT_TREND", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAG_WT_TREND@DF_EAG_WT_TREND_ALL", "@agencyID": "OECD.EDU.IMEP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "EDUCATION_LEV=ISCED11_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trends in teaching time of teachers - full dataset"}, {"@xml:lang": "fr", "#text": "\u00c9volution du temps d'enseignement des enseignants - ensemble complet de donn\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "
The purpose of this dataset is for download in CSV format. It contains the full raw data on the trend data for teaching time of teachers.
It covers teachers working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data is available from the reference year 2000.
For more information, please consult Education at a Glance 2022. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in Annex 3 of Education at a Glance 2022."}, {"@xml:lang": "fr", "#text": "
Cet ensemble de donn\u00e9es a pour objectif le t\u00e9l\u00e9chargement au format CSV. Il contient les donn\u00e9es brutes compl\u00e8tes sur les \u00e9volutions du temps d'enseignement. Il n'y a pas de filtre ni de vue par d\u00e9faut pour cet ensemble de donn\u00e9es, la navigation dans les donn\u00e9es peut donc \u00eatre lente.
Il couvre les enseignants travaillant \u00e0 plein temps dans des \u00e9tablissements publics, travaillant dans l\u2019enseignement pr\u00e9primaire, primaire et secondaire g\u00e9n\u00e9ral (premier et deuxi\u00e8me cycle). Les donn\u00e9es sont disponible depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2000.
Pour plus d'informations, veuillez consulter Regards sur l'\u00e9ducation 2022. Plus de d\u00e9tails sur les d\u00e9finitions, m\u00e9thodologies, sources de donn\u00e9es et notes sp\u00e9cifiques pour chaque pays sont disponibles dans Annexe 3 de Regards sur l'\u00e9ducation 2022 (en anglais)."}], "structure:Structure": {"Ref": {"@id": "DSD_EAG_WT_TREND", "@version": "1.1", "@agencyID": "OECD.EDU.IMEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HCQO@DF_AC", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SEX", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,TIME_RANGE", "common:AnnotationType": "LAYOUT_FLAG"}, {"common:AnnotationTitle": "METHODOLOGY", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW", "common:AnnotationType": "DEFAULT"}]}, "common:Name": {"@xml:lang": "en", "#text": "Acute care"}, "common:Description": {"@xml:lang": "en", "#text": "The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare \u2013 a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient\u2019s Experiences, and End-of-life care.\n
\nThe indicators reported allow for assessment of whether the care provided is:\nThis dataset provides data on the number of physicians by status (ie. practising physicians, professionally active physicians, and physicians licenced to practice).
\nPractising physicians provide services for individual patients.
\nProfessionally active physicians include practising physicians and other physicians for whom their medical education is a prerequisite for the execution of the job.
\nPhysicians licensed to practice include practising and other (non-practising) physicians who are registered and entitled to practice as healthcare professionals.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_EMP_REAC@DF_PHYS_AGE_SEX", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SEX,AGE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,AGE=_T,SEX=M+F,UNIT_MEASURE=PS+PT_WR_PRF", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00160"}, {"@xml:lang": "fr", "#text": "1.00160"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Physicians by age and sex"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of physicians by age groups and gender. Age groups include less than 35, 35-44, 45-54, 55-64, 65-74, 75+, for total, female and male physicians.
\nThe breakdown by age and gender is provided for practising physicians. If not possible, the data are reported for professionally active physicians or physicians licensed to practise.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_EMP_REAC@DF_PHYS_CAT", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00150"}, {"@xml:lang": "fr", "#text": "1.00150"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Physicians by categories"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of physicians by three main categories and eight sub-categories.
\nThree main categories and eight sub-categories selected are defined as follows:
\nGeneralist medical practitioners (ISCO-08 code: 2211)
\nSpecialist medical practitioners (ISCO-08 code: 2212)
\nMedical doctors not further defined (ISCO-08 code: 2210)
\nThe breakdown by categories is provided for practising physicians where possible. If not possible, the data are reported for professionally active physicians or physicians licensed to practise.
\nPractising physicians provide services for individual patients.
\nNotes: - The following criteria are proposed in order to avoid double counting of doctors who have more than one specialty: 1) the predominant (main) area of practice of doctors; or 2) the last specialty for which doctors have received registration.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_EMP_REAC@DF_REAC", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=HSE,UNIT_MEASURE=PT_EMP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00200"}, {"@xml:lang": "fr", "#text": "1.00200"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Healthcare human resources"}, "common:Description": {"@xml:lang": "en", "#text": "Health professionals and graduates across the health sector.
\nPlease refer to the Sources and Methods for detailed country-specific information.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_EMP_REAC@DF_SOC_EMPLOY", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,UNIT_MEASURE=10P3HB", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00180"}, {"@xml:lang": "fr", "#text": "1.00180"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Health and social employment"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of persons (headcounts) working in healthcare and social work.
\nThe following groups of the International Standard Industrial Classification (ISIC, rev.4) are included:
\nISIC rev.4 - Section VQ Description: Human health and social work activities
\nThis dataset provides data on the number of caring personnel by status (ie. practising caring personnel or professionally active caring personnel).
\nPractising caring personnel (personal care workers) include both Healthcare assistants in institutions (ISCO-08 5321) and Home-based personal care workers (ISCO-08 5322).
\nHealthcare assistants (ISCO-08 code: 5321) provide direct personal care and assistance with activities of daily living to patients and residents in a variety of healthcare settings such as hospitals, clinics, and residential nursing care facilities. They generally work in implementation of established care plans and practices, and under the direct supervision of medical, nursing or other health professionals or associate professionals.
\nHome-based personal care workers (ISCO-08 code: 5322) provide routine personal care and assistance with activities of daily living to persons who are in need of such care due to effects of ageing, illness, injury, or other physical or mental condition in private homes and other independent residential settings.
\nProfessionally active caring personnel (personal care workers) include practising caring personnel and other caring personnel for whom their education is a prerequisite for the execution of the job.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_DNST", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00110"}, {"@xml:lang": "fr", "#text": "1.00110"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Dentists"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of dentists by status (ie. practising dentists, professionally active dentists, and dentists licenced to practice)
\nPractising dentists provide services for patients. They include stomatologists, dental and maxillofacial surgeons.
\nProfessionally active dentists are practising dentists and other dentists for whom their education in dentistry / stomatology is a prerequisite for the execution of the job.
\nDentists licensed to practice include practising and other (non-practising) dentists, who are registered and entitled to practice as healthcare professionals in the field of dentistry. They include stomatologists, dental and maxillofacial surgeons.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_GRAD", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF=PHYS+MIDW+MINU+DNST+PHST,UNIT_MEASURE=10P5HB", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF:OECD.ELS.HD:HCL_HEALTH_PROF_HOSP_GRAD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00070"}, {"@xml:lang": "fr", "#text": "1.00070"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Graduates"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on graduates by category defined as follows:
\nThis dataset provides data on total hospital employment (ie. persons employed in general and specialty hospitals) by category:
\nThis refers to service contracts with non-employed health professionals on treatment of hospital patients. Data are presented by number of persons employed (head counts), and number of full-time equivalent (FTE) persons employed in general and specialty hospitals. Self-employed are included.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_MIDWIFE", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB,HEALTH_PROF=EMPLGENE+EMPLSPMP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00140"}, {"@xml:lang": "fr", "#text": "1.00140"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Midwives"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of midwives by status (ie. practising midwives, professionally active midwives, and midwives licenced to practice).
\nPractising midwives provide services directly to patients.
\nProfessionally active midwives include practising and other (non-practising) midwives for whom their education is a prerequisite for the execution of the job.
\nMidwives licensed to practice have acquired the requisite education and qualifications to be registered and/or legally licensed to practice midwifery. They include both practising and other (non-practising) midwives.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_NURSE", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB,HEALTH_PROF=MINU", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00130"}, {"@xml:lang": "fr", "#text": "1.00130"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Nurses"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of nurses by status (ie. practising nurses, professionally active nurses, and nurses licenced to practice) and category (ie. Professional nurses and associate professional nurses).
\nPractising nurses provide services directly to patients.
\nProfessionally active nurses include practising nurses and other nurses for whom their education is a prerequisite for the execution of the job.
\nA nurse licensed to practice has completed a programme of nursing education and is qualified and authorised in his/her country to practice nursing. They include practising and other (nonpractising) nurses.
\nCategories are defined as follows:
\nProfessional nurses assume responsibility for the planning and management of the care of patients, including the supervision of other healthcare workers, working autonomously or in teams with medical doctors and others in the practical application of preventive and curative measures.
\nAssociate professional nurses generally work under the supervision of, and in support of implementation of healthcare, treatment and referrals plans established by medical, nursing and other health professionals.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_PHST", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00100"}, {"@xml:lang": "fr", "#text": "1.00100"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Pharmacists"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of pharmacists by status (ie. practising pharmacists, professionally active pharmacists, and pharmacists licenced to practice).
\nPractising pharmacists prepare, dispense or sell medicaments and drugs for patients and provide advice.
\nProfessionally active pharmacists are practising pharmacists and other pharmacists for whom their education in pharmacy is a prerequisite for the execution of the job.
\nPharmacists licensed to practice include practising and other (non-practising) pharmacists who are registered and entitled to practice.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_PSIO", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00090"}, {"@xml:lang": "fr", "#text": "1.00090"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Physiotherapists"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of practising physiotherapists.
\nPhysiotherapists assess, plan and implement rehabilitative programs that improve or restore human motor functions, maximize movement ability, relieve pain syndromes, and treat or prevent physical challenges associated with injuries, diseases and other impairments. They apply a broad range of physical therapies and techniques such as movement, ultrasound, heating, laser and other techniques.
\nPractising physiotherapists provide services for patients.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_EMP@DF_REMUN", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,WORKER_STATUS=ICSE93_1,PRICE_BASE=V,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00060"}, {"@xml:lang": "fr", "#text": "1.00060"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Remuneration"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the remuneration of health professionals by category (ie. general practitioners, specialists, and hospital nurses) and by status (ie. salaried and self-employed).
\nGeneral practice includes fully-qualified general practitioners (GPs). Physicians in training should normally be excluded.
\nSpecialists include fully-qualified physicians who have specialised and work primarily in areas other than general practice. Physicians in training should normally be excluded.
\nSalaried hospital nurses include registered nurses actively practising in public and private hospitals and who receive most of their income via a salary.
\nSalaried: Employees and who receive most of their income via a salary.
\nSelf-employed: Physicians who are primarily non-salaried. That is, they are either self-employed, or operate independently, usually receiving (mainly) either capitation or fee-for-service reimbursement.
\nFor physicians who are both salaried and operate in a self-employed or independent capacity, they are presented in the category under which they receive the majority of their compensation.
\nRemuneration is defined as the average gross annual income, including social security contributions and income taxes payable by the employee. Final Consumption expenditure (FCE) price is used.
\nNOTE: Average salaries for healthcare professionals are now converted to USD PPPs using PPPs for household final consumption to bring them in line with average earnings calculations across the OECD. Average salaries presented in the 2021 database cannot be compared with data from previous versions.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_EMP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_HOSP@DF_BEDS_FUNC", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,CARE_TYPE=_T,UNIT_MEASURE=10P3HB", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_FUNCTION:OECD.ELS.HD:HCL_HEALTH_FUNCTION_REAC(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00030"}, {"@xml:lang": "fr", "#text": "1.00030"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Hospital beds by function of healthcare"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of total hospitals beds by function of healthcare (ie. curative (acute) care beds, rehabilitative care beds, long-term care beds, other hospital beds) and by type of care (ie. somatic or psychiatric care)
\nTotal hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:
\nBed numbers according to these functional categories are also broken down between somatic care and psychiatric care.
\nSomatic care beds in hospitals are hospital beds that are available for care relating to the body, as distinguished from psychiatric/mental care.
\nPsychiatric care beds in hospitals are hospital beds accommodating patients with mental health problems.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_HOSP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_HOSP@DF_BEDS_ICU", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,MEASURE=HBU_ICU_A,STATISTICAL_OPERATION=MEAN+_Z,UNIT_MEASURE=10P5HB+BD+PT_BD_AV_ICU", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00020"}, {"@xml:lang": "fr", "#text": "1.00020"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Intensive care unit (ICU) beds and use"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the number of intensive care unit (ICU) beds and use.
\nAn intensive care unit (ICU) is an organized system for the provision of care to critically ill patients that provides intensive and specialised medical and nursing care, an enhanced capacity for monitoring, and multiple modalities of physiologic organ support to sustain life during a period of acute organ system insufficiency. Although an ICU is based in a defined geographic area of a hospital, its activities often extend beyond the walls of the physical space to include the emergency department, hospital ward, and follow-up clinic.
\nData are provided as follows:
\nThis dataset provides data on the number of total hospitals beds by sector (ie. beds in publicly owned hospitals, beds in not-for-profit privately owned hospitals, beds in for-profit privately owned hospitals). Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:
\nThis dataset provides data on the number of hospitals by sector (ie. publicly-owned hospitals, not-for-profit privately owned hospitals, for-profit privately owned hospitals) and by type (ie. General hospitals).
\nHospitals refer to:
\nPublicly owned hospitals: Hospitals that are owned or controlled by a government unit or another public corporation (where control is defined as the ability to determine the general corporate policy).
\nNot-for-profit privately owned hospitals: Hospitals that are legal or social entities created for the purpose of producing goods and services, whose status does not permit them to be a source of income, profit, or other financial gain for the unit(s) that establish, control or finance them.
\nFor-profit privately owned hospitals:
Hospitals that are legal entities set up for the purpose of producing goods and services and are capable of generating a profit or other financial gain for their owners.
\nGeneral hospitals (HP.1.1): comprise licensed establishments primarily engaged in providing general diagnostic and medical treatment (both surgical and non-surgical) to inpatients with a wide variety of medical conditions. These establishments may provide other services, such as outpatient services, anatomical pathology services, diagnostic X-ray services, clinical laboratory services or operating room services for a variety of procedures, and/or pharmacy services, that are usually used by internal patients (intermediate outputs within the hospital treatment) but also by outside patients (see A System of Health Accounts, 2011 Edition).
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_HOSP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_HOSP@DF_HOSP_REAC", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,MEASURE=H,UNIT_MEASURE=10P6HB", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_FUNCTION:OECD.ELS.HD:HCL_HEALTH_FUNCTION_REAC(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00190"}, {"@xml:lang": "fr", "#text": "1.00190"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Healthcare provider resources"}, "common:Description": {"@xml:lang": "en", "#text": "Physical resources and technology in the health sector.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_HOSP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_REAC_HOSP@DF_MED_TECH", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,HEALTH_CARE_PROVIDER=_T,UNIT_MEASURE=10P6HB", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "HEALTH_CARE_PROVIDER:OECD.ELS.HD:HCL_HEALTH_CARE_PROVIDER_REAC(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationType": "SEARCH_WEIGHT", "common:AnnotationText": [{"@xml:lang": "en", "#text": "1.00010"}, {"@xml:lang": "fr", "#text": "1.00010"}]}]}, "common:Name": {"@xml:lang": "en", "#text": "Medical technology availability"}, "common:Description": {"@xml:lang": "en", "#text": "This dataset provides data on the availability of medical technology by equipment (computed tomography scanners, magnetic resonance imaging units, positron emission tomography (PET) scanners, gamma cameras, mammographs, and radiation therapy equipment) and by sector (hospitals or ambulatory).
\nComputed Tomography scanners (CT units): A CT or CAT scanner is an x-ray machine which combines many x-ray images with the aid of a computer to generate cross-sectional views and, if needed, three-dimensional images of the internal organs and structures of the body.
\nMagnetic Resonance Imaging units (MRI units): MRI is an imaging technique designed to visualise internal structures of the body using magnetic and electromagnetic fields which induce a resonance effect of hydrogen atoms. The electromagnetic emission created by these atoms is registered and processed by a dedicated computer to produce the images of the body structures.
\nPositron Emission Tomography scanner units (PET units): PET is a highly specialised imaging technique using short-lived radioactive substances. This technique produces three dimensional images which are used mainly for the assessment of cancer spread in a patient's body.
\nA Gamma camera (including Single Photon Emission Computed Tomography, SPECT) is used for a nuclear medicine procedure in which the camera rotates around the patient to register gamma rays emission from an isotope injected to the patient's body. The gathered data are processed by a computer to form a tomographic (cross-sectional) image.
\nMammography machines (those designed exclusively for taking mammograms). The code is CIM-9 87.37.
\nRadiation therapy equipment: number of machines used for treatment with x-rays or radionuclide. They include linear accelerators, Cobalt-60 units, Caesium-137 therapy units, low to orthovoltage x-ray units, high dose and low dose rate brachytherapy units and conventional brachytherapy units.
\nHospitals sector HP.1 :Hospitals comprise licensed establishments that are primarily engaged in providing medical, diagnostic and treatment services that include physician, nursing and other health services to inpatients and the specialised accommodation services required by inpatients.
\nAmbulatory healthcare sector HP.3 : This item comprises establishments that are primarily engaged in providing healthcare services directly to outpatients who do not require inpatient services. This includes both offices of general medical practitioners and medical specialists and establishments specialising in the treatment of day-cases and in the delivery of home care services.
"}, "structure:Structure": {"Ref": {"@id": "DSD_HEALTH_REAC_HOSP", "@version": "1.0", "@agencyID": "OECD.ELS.HD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HEALTH_STAT@DF_AM", "@agencyID": "OECD.ELS.HD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SEX", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2,OBS_STATUS3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,SEX=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Avoidable mortality"}, {"@xml:lang": "fr", "#text": "Mortalit\u00e9 \u00e9vitable"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents data on preventable, treatable and avoidable (preventable + treatable) causes of mortality. Preventable and treatable causes of mortality are defined as follows:\n- Preventable mortality: Causes of death that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of diseases/injuries, to reduce incidence).\n\n The main characteristics of health systems of OECD countries and accession countries are available in one dataset on a dedicated webpage. The dataset consists of results for the 2023 round of the Health System Characteristics survey as provided by countries, between July - Novemeber 2023.\n
\n \n\n Depending on the query of interest, the user can \u201cselect all\u201d filters or refine the search according to the following criteria:\n
\n\n Please note that when the user creates a table, active filters are shown in bold. After a selection is made in one filter, the other filters automatically display only elements where data are available in bold. The data can be displayed online or downloaded in an excel format file.\n If there is any inconsistency in the results shown, the user could inform the OECD Secretariat by sending a message at the following address: HSCS.health@oecd.org\n
\n\n For the first time, the main characteristics of health systems of OECD countries and key partners and accession countries are available in one dataset on a dedicated webpage. The dataset consists of results for the 2016 round of the Health System Characteristics survey as provided by countries, as well as results for the 2012 round of the survey. A new round of survey for Latin-American countries has been held in 2018.\n
\n \n\n Depending on the query of interest, the user can \u201cselect all\u201d filters or refine the search according to the following criteria:\n
\n\n Please note that when the user creates a table, active filters are shown in bold. After a selection is made in one filter, the other filters automatically display only elements where data are available in bold. The data can be displayed online or downloaded in an excel format file.\n If there is any inconsistency in the results shown, the user could inform the OECD Secretariat by sending a message at the following address: HSCS.health@oecd.org\n
\n\n The 2016 wave of the Health System Characteristics Survey has been designed following three guiding principles:\n
\n Through an online platform Health System Characteristics Community, national correspondents had access to all relevant information concerning the 2016 survey, were able to communicate directly with the Secretariat and other national correspondents as well as download the Data Survey Tool. To reduce the data collection burden on countries, the Data Survey Tool consisted of tables pre-filled with responses from 2012. Countries could either validate the response given in 2012 or update responses if changes have occurred since the previous round of data collection. Responses were submitted to the OECD Secretariat by uploading tables on to the online Community.\n
\n \nThis database provides estimates of annual temporary migration flows to OECD countries. The estimates are mainly based on the number of newly granted permits/visas issued to foreign citizens, provided by NSOs or Ministerial statistical services.
Temporary migration flows are classified into 6 groups: international students newly registered in a tertiary education programme; migrants participating in a work-travel exchange programs; intra-corporate transferees; trainees; seasonal foreign workers; and other foreign workers participating in national temporary migration programmes.
\n
Note that selected temporary movements are excluded from our estimates of temporary migration inflows. These are: tourists; crews; persons in transit; business visitors; diplomats; journalists; job-search visa holders; religious workers; sportspersons; artists; performers; posted workers.
Short-term movements under free-movement agreements are not included in this dataset. Asylum seekers are not included in this data set. See the following tables.
Ukrainians under the Temporary Protection Directive are not included in this data set.
Further information: International Migration Outlook
"}, "structure:Structure": {"Ref": {"@id": "DSD_MIG_INT", "@version": "1.0", "@agencyID": "OECD.ELS.IMD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EPL@DF_EPL", "@agencyID": "OECD.ELS.JAI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,VERSION", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2000,MEASURE=EPL_OV,VERSION=VERSION4", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Strictness of employment protection"}, {"@xml:lang": "fr", "#text": "Rigueur de la protection emploi"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January.The dataset displays greenhouse gas emissions from the plastic lifecycle, in million tonnes of CO2 equivalent (MtCO2e). The dataset provides information at the global level. Details can be found in the Annex of the OECD Global Plastics Outlook.
\nAggregation & consolidation: Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995).
\nOther manipulations: Emission coefficients by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model.
\n\n
Contact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Zheng and Suh (2019)
\n\n
"}, {"@xml:lang": "fr", "#text": "
La base de données affiche les émissions de gaz à effet de serre provenant de l'ensemble du cycle de vie des plastiques, en millions de tonnes d'équivalent CO2 (MtCO2e). La base de données fournit des informations au niveau mondial. Les informations peuvent être trouvées dans l'Annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nAgrégation et consolidation : Les émissions de gaz à effet de serre sont agrégées en utilisant le potentiel de réchauffement global sur 100 ans (PRG) de l'AR2 (GIEC, 1995).
\nAutres manipulations : Les coefficients d'émission par étape et par polymère ou destinée en fin de vie sont extrapolés à partir des données de 2015 en utilisant des indices. Ces indices sont basés sur l'intensité des émissions de scope 2 de la production de plastiques primaires et secondaires (y compris les secteurs amont) du modèle ENV-Linkages de l'OCDE.
\n\n
Contact : env.linkages@oecd.org
\nSources utilis\u00e9es : OECD Global Plastics Outlook, OECD ENV-Linkages model, Zheng and Suh (2019)
\n\n
"}], "structure:Structure": {"Ref": {"@id": "DSD_GHG_PLC", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_GHG_PLC_P@DF_GHG_PLC_P", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLASTIC_LIFEC_S,SCENARIO,GHG", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Projections of Greenhouse Gas Emissions from Plastic Lifecycle"}, {"@xml:lang": "fr", "#text": "Projections des \u00e9missions de gaz \u00e0 effet de serre de l\u2019ensemble du cycle de vie des plastiques"}], "common:Description": [{"@xml:lang": "en", "#text": "
The dataset displays projections of greenhouse gas emissions from primary plastics, in million tonnes of CO2 equivalent (t CO2 eq). The dataset provides estimates at the global level under different scenarios. Details can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon of the projections is 2060.
\nAggregation & consolidation: Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995).
\nOther manipulations: Emission coefficients by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model.
\n\n
Contact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Zheng and Suh (2019)
\n\n
"}, {"@xml:lang": "fr", "#text": "
La base de données affiche les projections des émissions de gaz à effet de serre provenant des plastiques primaires, en millions de tonnes d'équivalent CO2 (t CO2 eq). La base de données fournit des estimations au niveau mondial pour différents scénarios détaillés dans l'Annexe des Perspectives Mondiales des Plastiques de l'OCDE: Scénarios d’action à l’horizon 2060.
\nAgrégation et consolidation : Les émissions de gaz à effet de serre sont agrégées en utilisant le potentiel de réchauffement global sur 100 ans (PRG) de l'AR2 (GIEC, 1995).
\nAutres manipulations : Les coefficients d'émission par étape et par polymère ou destinée en fin de vie sont extrapolés à partir des données de 2015 en utilisant des indices. Ces indices sont basés sur l'intensité des émissions de scope 2 de la production de plastiques primaires et secondaires (y compris les secteurs amont) du modèle ENV-Linkages de l'OCDE.
\n\n
Contact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Zheng and Suh (2019)
\n\n
"}], "structure:Structure": {"Ref": {"@id": "DSD_GHG_PLC_P", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PL@DF_PL", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,PLASTIC_WATER,MISMANAGED_LITTERED_PLASTIC", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PL_MLW,TIME_PERIOD_START=1990", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CONCEPT:PLASTIC_WATER,MISMANAGED_LITTERED_PLASTIC", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CONCEPT:Variable"}, {"@xml:lang": "fr", "#text": "COMBINED_CONCEPT:Variable"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Plastic Leakage - Estimations from 1990 to 2019"}, {"@xml:lang": "fr", "#text": "Rejets de plastiques de 1990 \u00e0 2019"}], "common:Description": [{"@xml:lang": "en", "#text": "
The dataset displays estimations of plastic leakage from mismanaged and littered waste and plastic leakage to aquatic environments, in million tonnes (Mt) of plastic. This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.
\nAdditional information: Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Cottom, Cook and Velis (2020), Lebreton and Andrady (2019), Ryberg et al. (2019)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les estimations de rejets de plastiques provenant de la mauvaise gestion des déchets et de rejets de plastique dans les environnements aquatiques, en millions de tonnes (t) de plastique. Cette base de données fournit des estimations de rejets de plastique pour les 15 régions globales du model ENV-Linkages de l'OCDE, détaillés dans l'Annexe des Perspective Mondiale des Plastiques de l'OCDE.
\nInformations complémentaires : Les estimations de rejets de plastique provenant de la mauvaise gestion des déchets correspondent à la moyenne des estimations calculées en utilisant la méthodologie adaptée de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont été appliquées aux résultats du modèle ENV-Linkages de l'OCDE. Les rejets de plastiques provenant de toutes les autres sources correspondent aux estimations calculées en utilisant la méthodologie adaptée de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-catégorie du transport vers les océans sont estimées en appliquant la méthodologie adaptée de Lebreton et Andrady (2019), sur les sorties du modèle ENV-Linkages de l'OCDE et les rejets de plastique issues de la mauvaise gestion et des déchets. Le stock accumulé de rejets de plastique dans les rivières et les lacs correspond à la somme cumulative nette des rejets dans les rivières et les lacs à partir de 1951. La méthodologie complète peut être trouvée dans l'Annexe de la Perspective Mondiale des Plastiques de l'OCDE.
\n\n
Contact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook, OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Lebreton and Andrady (2019)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PL", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PL_2019@DF_PL_2019", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLASTIC_CATEGORY,PLASTIC_SOURCE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Plastic Leakage in 2019"}, {"@xml:lang": "fr", "#text": "Rejets de plastiques en 2019"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays estimations of plastic leakage plastic leakage to the environment in 2019, in million tonnes (Mt) of plastic for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.
\nAdditional information: Plastic leakage to the environment include estimates of plastic leakage from various sources. Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Cottom, Cook and Velis (2020), Lebreton and Andrady (2019), Ryberg et al. (2019)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les rejets de plastiques dans l'environnement en 2019, en millions de tonnes (t) de plastique pour les 15 régions globales du model ENV-Linkages de l'OCDE, détaillées dans l'Annexe des Perspective Mondiale des Plastiques de l'OCDE.
\nInformations complémentaires : Les rejets de plastique dans l'environment incluent les estimations de rejets de plastiques provenant de différentes sources. Les estimations des rejets de plastique provenant de la mauvaise gestion des déchets correspondent à la moyenne des estimations calculées en utilisant la méthodologie adaptée de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont été appliquées aux résultats du modèle OECD ENV-Linkages. Les rejets de plastique provenant de toutes les autres sources correspondent aux estimations calculées en utilisant la méthodologie adaptée de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-catégorie du transport vers les océans sont estimées en appliquant la méthodologie adaptée de Lebreton et Andrady (2019), sur les sorties du modèle ENV-Linkages de l'OCDE et les rejets de plastique issues de la mauvaise gestion et des déchets. Le stock accumulé de rejets de plastique dans les rivières et les lacs correspond à la somme cumulative nette des rejets dans les rivières et les lacs à partir de 1951. La méthodologie complète peut être trouvée dans l'Annexe de la Perspective Mondiale des Plastiques de l'OCDE.
\n\n
Contact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook, OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Cottom, Cook and Velis (2020), Lebreton and Andrady (2019), Ryberg et al. (2019)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PL_2019", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PL_P@DF_PL_P", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SCENARIO,PLASTIC_CATEGORY,PLASTIC_WATER", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PL_PROJECTION,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CONCEPT:PLASTIC_CATEGORY,PLASTIC_WATER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CONCEPT:Variable"}, {"@xml:lang": "fr", "#text": "COMBINED_CONCEPT:Variable"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Projections of Plastic Leakage"}, {"@xml:lang": "fr", "#text": "Projections des rejets de plastiques"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays projections of plastic leakage to aquatic environments and plastic leakage to the environment overall, in million tonnes (t) of plastic. This dataset provides projections of plastics leakage at the global level and by region for different scenarios detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.
\nAdditional information: Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates calculated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in oceans corresponds to the net cumulative sum of leakages to oceans from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Cottom, Cook and Velis (2020), Lebreton and Andrady (2019), Ryberg et al. (2019)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche des projections de rejets de plastique dans les environnements aquatiques et de rejets de plastiques dans l'environnement en général, en millions de tonnes (t) de plastique. Cette base de données fournit des projections de rejets de plastiques au niveau mondial et par région, sous différents scénarios détaillés dans l'annexe des Perspectives Mondiales des Plastiques de l'OCDE : Scénarios d’action à l’horizon 2060.
\nInformations complémentaires : Les estimations des rejets de plastiques provenant des déchets mal gérés et des déchets sauvages correspondent à la moyenne des estimations calculées à l'aide de la méthodologie adaptée de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont été appliquées sur les sorties du modèle ENV-Linkages de l'OCDE. Les rejets de plastique provenant de toutes les autres sources correspondent aux estimations calculées à l'aide de la méthodologie adaptée de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-catégorie du transport vers les océans sont estimées en appliquant la méthodologie adaptée de Lebreton et Andrady (2019), sur les sorties du modèle ENV-Linkages de l'OCDE et les rejets de plastique issues de la mauvaise gestion et des déchets. Le stock accumulé de rejets de plastique dans les rivières et les lacs correspond à la somme cumulative nette des rejets dans les rivières et les lacs à partir de 1951. La méthodologie complète peut être trouvée dans l'annexe des Perspectives Mondiales des plastiques de l'OCDE : Scénarios d’action à l’horizon 2060.
\nContact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Cottom, Cook and Velis (2020), Lebreton and Andrady (2019), Ryberg et al. (2019)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PL_P", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PU@DF_PU", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PU_APP,TIME_PERIOD_START=1990", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CONCEPT:PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CONCEPT:Variable"}, {"@xml:lang": "fr", "#text": "COMBINED_CONCEPT:Variable"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Plastics Use - Estimations from 1990 to 2019"}, {"@xml:lang": "fr", "#text": "Utilisation des plastiques de 1990 \u00e0 2019"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays estimations of plastic use by application, polymer, type and region, in million tonnes (t) of plastic. This dataset provides estimates of plastic use at the global level and for the 15 global regions of the OECD ENV-Linkages model. Details can be found in the Annex of the OECD Global Plastics Outlook.
\nAdditional information: Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer and by application is made that it is homogenous to the global values. Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017), Ryberg et al.(2019)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les estimations de l'utilisation des plastiques par application, par polymère, par type de plastique et par région, en millions de tonnes (Mt) de plastique. Cette base de données fournit des estimations de l'utilisation des plastiques au niveau mondial et pour les 15 régions mondiales du modèle ENV-Linkages de l'OCDE. Les informations peuvent être trouvées en annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nInformations complémentaires : L'utilisation primaire des plastiques est estimée en utilisant les données de consommation régionale par application de Ryberg et al. (2019). Une hypothèse de répartition par polymère et par application est faite en supposant qu'elle est homogène aux valeurs mondiales. Les valeurs historiques (données antérieures à 2015) sont extrapolées à partir des données de 2015 en utilisant l'évolution mondiale contenue dans Geyer, Jambeck et Law (2017). L'utilisation secondaire des plastiques est dérivée en utilisant les taux de recyclage et les taux de perte de recyclage, comme décrit dans l'annexe de la Perspectives mondiales sur les plastiques de l'OCDE. Les données sur l'utilisation des plastiques sont associées aux flux économiques dans le modèle ENV-Linkages de l'OCDE pour estimer les changements au fil du temps. L'utilisation totale des plastiques est égale à la somme de l'utilisation primaire et de l'utilisation secondaire des plastiques. La méthodologie complète peut être trouvée dans les annexes de la Perspectives mondiales sur les plastiques de l'OCDE.
\n\n
Contact: env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017), Ryberg et al.(2019)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PU", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PU_2019@DF_PU_2019", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLASTIC_POLYMER,PLASTIC_APP", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Plastics Use in 2019"}, {"@xml:lang": "fr", "#text": "Utilisation des plastiques en 2019"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays estimations of plastic use in 2019, in million tonnes (t) of plastic for the 15 global regions of the OECD ENV-Linkages model. Details can be found in the Annex of the OECD Global Plastics Outlook.
\nAdditional information: Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer and by application is made that it is homogenous to the global values. Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017), Ryberg et al.(2019)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les estimations de l'utilisation des plastiques en 2019, en millions de tonnes (Mt) de plastique pour les 15 régions mondiales du modèle ENV-Linkages de l'OCDE. Les informations peuvent être trouvées en annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nInformations complémentaires : L'utilisation primaire des plastiques est estimée en utilisant les données de consommation régionale par application de Ryberg et al. (2019). Une hypothèse de répartition par polymère et par application est faite en supposant qu'elle est homogène aux valeurs mondiales. Les valeurs historiques (données antérieures à 2015) sont extrapolées à partir des données de 2015 en utilisant l'évolution mondiale contenue dans Geyer, Jambeck et Law (2017). L'utilisation secondaire des plastiques est dérivée en utilisant les taux de recyclage et les taux de perte de recyclage, comme décrit dans l'annexe de la Perspectives mondiales sur les plastiques de l'OCDE. Les données sur l'utilisation des plastiques sont associées aux flux économiques dans le modèle ENV-Linkages de l'OCDE pour estimer les changements au fil du temps. L'utilisation totale des plastiques est égale à la somme de l'utilisation primaire et de l'utilisation secondaire des plastiques. La méthodologie complète peut être trouvée dans les annexes de la Perspectives mondiales sur les plastiques de l'OCDE.
\n\n
Contact: env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017), Ryberg et al.(2019)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PU_2019", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PU_P@DF_PU_P", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SCENARIO,PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PU_APP_PROJECTION,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CONCEPT:PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CONCEPT:Variable"}, {"@xml:lang": "fr", "#text": "COMBINED_CONCEPT:Variable"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Projections of Plastics Use"}, {"@xml:lang": "fr", "#text": "Projections des utilisations de plastiques"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays projections of plastic use by application, polymer, type, region and of plastic use overall, in million tonnes (t) of plastic. This dataset provides estimates of plastic use at the global level and for the 15 global regions of the OECD ENV-Linkages model under different scenarios, detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon of the projections is 2060.
\nAdditional information: Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017), Ryberg et al.(2019)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les projections de l'utilisation du plastique par application, par polymère, par type de plastique, par région et de l'utilisation des plastiques en général, en millions de tonnes (t) de plastique. Cette base de données fournit des estimations de l'utilisation du plastique au niveau mondial et pour les 15 régions mondiales du modèle ENV-Linkages de l'OCDE selon différents scénarios, détaillés dans l'Annexe des Perspectives Mondiales des Plastiques de l'OCDE : Scénarios d’action à l’horizon 2060. L'horizon des projections est 2060.
\nInformations complémentaires : L'utilisation principale des plastiques est estimée en utilisant les données de consommation régionale par application de Ryberg et al. (2019). Les valeurs historiques (données antérieures à 2015) sont extrapolées à partir des données de 2015 en utilisant l'évolution mondiale contenue dans Geyer, Jambeck et Law (2017). L'utilisation secondaire des plastiques est dérivée en utilisant les taux de recyclage et les taux de perte de recyclage, comme décrit dans l'Annexe des Perspectives Mondiales des plastiques de l'OCDE. Les données sur l'utilisation des plastiques sont associées aux flux économiques dans le modèle ENV-Linkages de l'OCDE pour estimer les changements au fil du temps. L'utilisation totale des plastiques est égale à la somme de l'utilisation principale et de l'utilisation secondaire des plastiques. La méthodologie complète peut être trouvée dans l'Annexe des Perspectives Mondiales des Plastiques de l'OCDE : Scénarios d’action à l’horizon 2060.
\nContact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017), Ryberg et al.(2019)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PU_P", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PW@DF_PW", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,PLASTIC_END_LIFE,PLASTIC_RECYCLING", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PW_RECYCL,TIME_PERIOD_START=1990", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_CONCEPT:PLASTIC_RECYCLING,PLASTIC_END_LIFE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_CONCEPT:Variable"}, {"@xml:lang": "fr", "#text": "COMBINED_CONCEPT:Variable"}]}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Plastic Waste - Estimations from 1990 to 2019"}, {"@xml:lang": "fr", "#text": "D\u00e9chets plastiques de 1990 \u00e0 2019"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays estimations of plastic waste by end-of-life fate and collected for recycling, in million tonnes (t) of plastic. This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.
\nAdditional information: Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste collected for recycling is estimated by applying the shares of collected for recycling on plastics waste. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les estimations des déchets plastiques par mode de gestion en fin de vie et collectés pour recyclage, en millions de tonnes (Mt) de plastique. Cette base de données fournit des estimations des déchets plastiques pour les 15 régions mondiales du modèle ENV-Linkages de l'OCDE, détaillées en annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nInformations complémentaires : Les déchets plastiques sont calculés en fonction de l'utilisation des plastiques (en volumes), en utilisant une méthodologie basée sur des distributions de durée de vie, selon Geyer, Jambeck et Law (2017). Les déchets plastiques sont divisés en différents flux de gestion des déchets (modes de gstion en fin de vie) en appliquant des parts de fin de vie qui varient selon les pays et qui tiennent compte des pertes de recyclage et des déchets collectés. La méthodologie utilisée est expliquée dans l'annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nContact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PW", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PW_2019@DF_PW_2019", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLASTIC_POLYMER,PLASTIC_APP", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Plastic Waste in 2019"}, {"@xml:lang": "fr", "#text": "D\u00e9chets plastiques en 2019"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays estimations of plastic waste in 2019, in million tonnes (t) of plastic for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.
\nAdditional information: Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les estimations des déchets plastiques en 2019, en millions de tonnes (Mt) de plastique pour les 15 régions mondiales du modèle ENV-Linkages de l'OCDE, détaillées en annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nInformations complémentaires : Les déchets plastiques sont calculés en fonction de l'utilisation des plastiques (en volumes), en utilisant une méthodologie basée sur des distributions de durée de vie, selon Geyer, Jambeck et Law (2017). La méthodologie utilisée est expliquée dans l'annexe des Perspectives Mondiales des Plastiques de l'OCDE.
\nContact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PW_2019", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PW_P@DF_PW_P", "@agencyID": "OECD.ENV.EEI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TIME_PERIOD,SCENARIO", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "PLASTIC_END_LIFE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PW_EL_PROJECTION,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Projections of Plastic Waste"}, {"@xml:lang": "fr", "#text": "Projections des d\u00e9chets plastiques"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset displays projections of plastic waste by end-of-life fate and overall plastic waste, in million tonnes (t) of plastic. This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model under the baseline scenario, detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon for the projections is 2060.
\nAdditional information: Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste collected for recycling is estimated by applying the shares of collected for recycling on plastics waste. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The complete methodology can be found in the Annexes of the OECD Global Plastics Outlook: Policy Scenarios to 2060.
\nContact: env.linkages@oecd.org
\nData source(s) used: OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017)
"}, {"@xml:lang": "fr", "#text": "La base de données affiche les projections des déchets plastiques par mode de gestion en fin de vie et des déchets plastiques en général, en millions de tonnes (Mt) de plastique. Cette base de données fournit des estimations des déchets plastiques pour les 15 régions mondiales du modèle ENV-Linkages de l'OCDE selon le scénario de référence, détaillées en annexe des Perspectives Mondiales des Plastiques de l'OCDE : Scénarios d’action à l’horizon 2060. L'horizon temporel pour les projections est 2060.
\nInformations complémentaires : Les déchets plastiques sont calculés en fonction de l'utilisation des plastiques (en volumes), en utilisant une méthodologie basée sur des distributions de durée de vie, selon Geyer, Jambeck et Law (2017). Les déchets plastiques collectés pour le recyclage sont estimés en appliquant les proportions collectées pour le recyclage sur les déchets plastiques. Les déchets plastiques sont divisés en différents flux de gestion des déchets (modes de gstion en fin de vie) en appliquant des parts de fin de vie qui varient selon les pays et qui tiennent compte des pertes de recyclage et des déchets collectés. La méthodologie utilisée pour calculer les parts en fin de vie est expliquée dans l'annexe des Perspectives mondiales des plastiques de l'OCDE : Scénarios d’action à l’horizon 2060.
\nContact : env.linkages@oecd.org
\nSources utilisées : OECD Global Plastics Outlook: Policy Scenarios to 2060, OECD ENV-Linkages model, Geyer, Jambeck and Law (2017)
"}], "structure:Structure": {"Ref": {"@id": "DSD_PW_P", "@version": "1.0", "@agencyID": "OECD.ENV.EEI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AIR_EMISSIONS@DF_AIR_EMISSIONS", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "POLLUTANT,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,POLLUTANT=SOX,MEASURE=T_EM_MM,UNIT_MEASURE=T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Air emissions - Air pollutants Inventories"}, {"@xml:lang": "fr", "#text": "\u00c9missions atmosph\u00e9riques - Inventaires des polluants atmosph\u00e9riques"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides selected information on national emissions of air pollutants: man-made emissions of sulphur oxides (SOx), nitrogen oxides (NOx), particulate matter (PM), carbon monoxide (CO) and volatile organic compounds (VOC). Categories presented are based on the NFR (nomenclature for reporting) 2014 classification. Details of regroupings can be found in the table of correspondence. Data exclude non man-made emissions and international aviation and maritime transports emissions. For some countries residential mobile emissions (e.g. mowers) are included into “Other combustion” instead of “Other mobile”.
\n\n
Data source(s): (1) The Convention on Long-Range Transboundary Air Pollution (LRTAP Convention), UNECE-EMEP emissions Database, WebDab 2024, as of July 2024. EMEP Official; (2) National Inventory Submissions 2023 (as of August 2023) to the United Nations Framework Convention on Climate Change (UNFCCC, CRF tables); (3) Replies to the OECD Questionnaire on the State of the Environment and comments from member countries.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: July 2024
\n\n"}, {"@xml:lang": "fr", "#text": "
Cette base de données fournit des informations sur les émissions anthropiques d'oxydes de soufre (SOx), d'oxydes d'azote (NOx), de particules (PM), de monoxyde de carbone (CO) et de composés organiques volatils (COV). Les catégories sont basées sur la classification NFR (nomenclature for reporting) 2014. Les détails des regroupements se trouvent dans le tableau de correspondance. Les données excluent les émissions non liées à l'activité humaine et les émissions de l'aviation internationale et du transport maritime. Pour certains pays, les émissions mobiles résidentielles (par exemple les tondeuses) sont incluses dans la catégorie "Autres combustions" au lieu de la catégorie "Autres émissions mobiles".
\nSource(s) de données : (1) Convention sur la pollution atmosphérique transfrontière à longue distance (Convention LRTAP), Base de données des émissions CEE-ONU-EMEP, WebDab 2024, au mois de juillet 2024. EMEP Official; (2) National Inventory Submissions 2023 (Août 2023) à la Convention-cadre des Nations Unies sur les changements climatiques (CCNUCC, tableaux CRF) ; (3) Réponses au questionnaire de l'OCDE sur l'état de l'environnement et commentaires des pays membres.
\n\n
Contact : ENV.Stat@oecd.org
\nDate de publication de la base de données : juillet 2024
\n\n
Documentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_AIR_EMISSIONS", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AIR_GHG@DF_AIR_GHG", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,UNIT_MEASURE,BASE_PER", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "POLLUTANT,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0,BASE_PER=_Z,PRICE_BASE=_Z,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014,POLLUTANT=GHG,MEASURE=_T,UNIT_MEASURE=KG_CO2E_PS", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "POLLUTANT:OECD.ENV.EPI:HCL_POLLUTANT(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Air emissions - Greenhouse gas emissions Inventories"}, {"@xml:lang": "fr", "#text": "\u00c9missions atmosph\u00e9riques - Inventaires des \u00e9missions de gaz \u00e0 effet de serre"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4(methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). Data exclude indirect CO2. For UNCCCC Annex I countries, data follow the IPCC 2006 guidelines. Territories' coverage are as those defined in the Kyoto Protocol.
\nData source(s): National Inventory Submissions 2023 to the United Nations Framework Convention on Climate Change (UNFCCC, CRF tables), and replies to the OECD State of the Environment Questionnaire and comments from countries.
\nContact: ENV.Stat@oecd.org
\n\n
Dataset release date: July 2024, next expected update January 2025
\n\n"}, {"@xml:lang": "fr", "#text": "
Cette base de données présente les tendances des émissions anthropiques des principaux gaz à effet de serre et les émissions par gaz. Les données concernent les émissions totales de CO2 (émissions provenant de l'utilisation de l'énergie et des procédés industriels, par exemple production du ciment), de CH4 (émissions de méthane provenant des déchets solides, du bétail, de l'exploitation minière de charbon et de lignite, des rizières, et des fuites des conduites de gaz naturel), d'oxyde nitreux (N2O), d'hydrofluorocarbures (HFC), d'hydrocarbures perfluorés (PFC), d'hexafluorure de soufre (SF6) et le trifluorure d'azote (NF3). Les données excluent le CO2 indirect. Pour les pays Annexe I à la CCNUCC les données suivent les lignes directrices du 2006 du GIEC. Les couvertures territoriales sont celles définies dans le Protocol de Kyoto.
\nSource(s) de données utilisée(s): Soumission des inventaires nationaux 2023 à la Convention Cadre des Nations Unies sur les Changements Climatiques (CCNUCC, tableaux CRF), et réponses au questionnaire sur l'état de l'environnement de l'OCDE et commentaires des pays.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : juillet 2024, prochaine mise \u00e0 jour pr\u00e9vue : janvier 2025
\n\n
working paper for a more complete description of the methods. A forthcoming working paper reviewing current data sources and updating methods is scheduled for to be released in 2024.\n\n
The dataset has a global coverage on the national level, while on the subnational TL2 level (i.e. large subnational regions), results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. \n\n
Data source(s): Global Burden of Disease air pollutant data and Global Human Settlement Layer population data. \n\n
Contact: ENV.Stat@oecd.org\n\n
Database documentation"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es sur l'exposition \u00e0 la pollution de l'air est une \u00e9valuation mondiale des donn\u00e9es sur la pollution de l'air visant \u00e0 surveiller l'exposition de la population \u00e0 trois polluants de l'air cl\u00e9s, \u00e0 savoir les particules fines (PM2.5), l'ozone (O3) et le dioxyde d'azote (NO2). En utilisant des donn\u00e9es g\u00e9ospatiales \u00e0 haute r\u00e9solution spatio-temporelle, il d\u00e9veloppe un ensemble d'indicateurs annuels comparables au niveau international avec une longue s\u00e9rie temporelle de 1990 \u00e0 2020. Veuillez consulter le document de travail de 2016 pour une description plus compl\u00e8te des m\u00e9thodes. Un prochain document de travail passant en revue les sources de donn\u00e9es actuelles et les m\u00e9thodes de mise \u00e0 jour devrait \u00eatre publi\u00e9 en 2024.\n\n
L'ensemble de donn\u00e9es a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-\u00e0-dire les grandes r\u00e9gions sous-nationales), les r\u00e9sultats sont rapport\u00e9s pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Br\u00e9sil, la Chine, l'Inde, l'Indon\u00e9sie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union europ\u00e9enne, \u00e9conomies avanc\u00e9es, \u00e9conomies de march\u00e9 \u00e9mergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Oc\u00e9anie, OCDE Am\u00e9riques, pays d'Am\u00e9rique latine et monde. \n\n
Source(s) de donn\u00e9es: Global Burden of Disease donn\u00e9es sur les polluants de l'air et Global Human Settlement Layer donn\u00e9es g\u00e9ospatiales sur la population. \n\n
Contact: ENV.Stat@oecd.org\n\n
Documentation de la base de donn\u00e9es"}], "structure:Structure": {"Ref": {"@id": "DSD_AIR_POL", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_CAPMF@DF_CAPMF", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2018,MEASURE=POL_STRINGENCY,CLIM_ACT_POL=LEV1_SEC+LEV2_SEC_E_MBI+LEV3_ETS_E+LEV4_ETS_E_PR+LEV4_ETS_E_GHG+LEV3_CARBONTAX_E+LEV3_FFS_E+LEV3_EXCISETAX_E+LEV3_FIT+LEV3_AUCTION+LEV3_RECS+LEV2_SEC_E_NMBI+LEV2_SEC_I_MBI+LEV2_SEC_I_NMBI+LEV2_SEC_B_MBI+LEV2_SEC_B_NMBI+LEV2_SEC_T_MBI+LEV2_SEC_T_NMBI+LEV1_CROSS_SEC+LEV1_INT,UNIT_MEASURE=0_TO_10+PL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Climate actions and policies measurement framework"}, {"@xml:lang": "fr", "#text": "Cadre de mesure des actions et politiques climatiques"}], "common:Description": [{"@xml:lang": "en", "#text": "
The OECD Climate Actions and Policies Measurement Framework (CAPMF) is the most extensive internationally harmonised climate mitigation policy database to date. Developed under the International Programme for Action on Climate, the CAPMF tracks 130 policy variables, aggregated into 56 key climate actions and policies for the 1990-2023 period for OECD and OECD partner countries as well as the European Union as a block. The current edition of the database covers 50 countries.
\n\n
For each policy, the CAPMF measures policy stringency, defined as the degree to which policies incentivise emissions reductions. The dataset provides the stringency values for all 130 policy variables as well as the average stringency values of the 56 aggregated climate policies for all countries and the entire time-period. It also calculates the average stringency and the number of adopted policies for sectors or policy areas (e.g. electricity, GHG emissions targets) and building block (e.g. sectoral policies, cross-sectoral policies, international policies), following the structure of the CAPMF as laid out in the related working paper. The structure of the CAPMF can be downloaded here.
In some cases the CAPMF also uses a different policy classification according to market-based instruments, non market-based instruments, and climate targets, governance and climate data (see here for a correspondence table).
\nTo find out more about the International Programme for Action on Climate (IPAC), please visit the IPAC webpage.
"}, {"@xml:lang": "fr", "#text": "Documentation de la base de donn\u00e9es
Le cadre de mesure des actions et politiques climatiques de l'OCDE (CAPMF) est la base de donn\u00e9es sur les politiques d'att\u00e9nuation du changement climatique la plus compl\u00e8te et la plus harmonis\u00e9e au niveau international \u00e0 ce jour. D\u00e9velopp\u00e9 dans le cadre du Programme international d'action sur le climat, le CAPMF suit 130 variables politiques, regroup\u00e9es en 56 actions et politiques climatiques cl\u00e9s pour la p\u00e9riode 1990-2023 pour les pays de l'OCDE et les pays partenaires de l'OCDE, ainsi que pour l'Union europ\u00e9enne dans son ensemble. L'\u00e9dition actuelle de la base de donn\u00e9es couvre 50 pays.
\n\n
Pour chaque politique, le CAPMF mesure la rigueur de la politique, d\u00e9finie comme le degr\u00e9 d'incitation des politiques \u00e0 r\u00e9duire les \u00e9missions. Les ensembles de donn\u00e9es fournissent les valeurs de rigueur pour les 130 variables politiques ainsi que les valeurs moyennes de rigueur des 56 politiques climatiques agr\u00e9g\u00e9es pour tous les pays et pour l'ensemble de la p\u00e9riode. Il calcule \u00e9galement la rigueur moyenne et le nombre de politiques adopt\u00e9es pour les secteurs ou les domaines politiques (par exemple, l'\u00e9lectricit\u00e9, les objectifs d'\u00e9missions de GES) et les \u00e9l\u00e9ments constitutifs (par exemple, les politiques sectorielles, les politiques intersectorielles, les politiques internationales), en suivant la structure du CAPMF telle qu'elle est pr\u00e9sent\u00e9e dans the le document de travail connexe. La structure du CAPMF peut \u00eatre t\u00e9l\u00e9charg\u00e9e ici.
Dans certains cas, le CAPMF utilise \u00e9galement une classification diff\u00e9rente selon les instruments bas\u00e9s sur le march\u00e9, les instruments non bas\u00e9s sur le march\u00e9, les objectifs climatiques, la gouvernance et les donn\u00e9es climatiques (voir ici pour un tableau de correspondance).
Pour en savoir plus sur le Programme d'action international sur le climat (IPAC), veuillez visiter la page Web de l'IPAC.
"}], "structure:Structure": {"Ref": {"@id": "DSD_CAPMF", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EAMFP@DF_EAMFP", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,DECIMALS=2", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=EAMFP_G,TIME_PERIOD_START=2010", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Environmentally adjusted multifactor productivity"}, {"@xml:lang": "fr", "#text": "Productivit\u00e9 multifactorielle ajust\u00e9e des facteurs environnementaux"}], "common:Description": [{"@xml:lang": "en", "#text": "Environmentally adjusted multifactor productivity
EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases.
As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived:
Growth contribution of natural capital - measures to what extent a country's growth in output is attributable to natural resource use;
Growth adjustment for pollution abatement - measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the ‘excess' growth which is generated at the expense of environmental quality.
For further details on the methodology please consult:
"}, {"@xml:lang": "fr", "#text": "Productivité multifactorielle corrigée des incidences environnementales
La croissance de la productivité multifactorielle corrigée des incidences environnementales (EAMFP) mesure la croissance résiduelle résultant de la production conjointe de produits souhaitables et de produits indésirables ; elle correspond à la part de croissance qui ne peut pas être expliquée par l'évolution de la consommation d'intrants (y compris le travail, le capital produit et le capital naturel). Par conséquent, pour une croissance donnée de l'utilisation des intrants, la productivité multifactorielle ajustée des incidences environnementales (EAMFP) augmente lorsque le PIB augmente ou que la pollution diminue.
Le cadre de comptabilité de la croissance sur lequel repose l'EAMFP permet d'établir la contribution à la croissance du capital naturel et l'ajustement de la croissance compte tenu des indicateurs de lutte contre la pollution :
Contribution du capital naturel à la croissance - indique dans quelle mesure la croissance de la production d'un pays est attribuable à l'utilisation de ressources naturelles ;
Ajustement de la croissance au titre de la lutte contre la pollution - indique dans quelle mesure la croissance du PIB d'un pays devrait être corrigée des efforts de lutte contre la pollution - en ajoutant la part sous-évaluée correspondant aux ressources consacrées à la lutte contre la pollution, ou en retranchant « l'excès » de croissance généré au détriment de la qualité de l'environnement.
Pour plus de détails sur la méthodologie, voir :
"}], "structure:Structure": {"Ref": {"@id": "DSD_EAMFP", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ECH@COAS_FLOOD", "@agencyID": "OECD.ENV.EPI", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=CF_POP_EXP,RET_PERIOD=Y_10,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "10000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Exposure to coastal flooding"}, {"@xml:lang": "fr", "#text": "Exposition aux inondations c\u00f4ti\u00e8res"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset provides a global assessment of land, population, built-up area and cropland exposure to coastal flooding for different return periods. Exposure indicators to coastal flooding have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods.The Environmental Protection Expenditure Account (EPEA) is a monetary description of environmental protection activities in accordance with the System of Environmental\u2011economic Accounting (SEEA) central framework. It is coherent with the European System of Accounts (ESA 2010), which applies to national accounts and related satellite accounts.
\n\n
Environmental protection (EP) includes all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution as well as any other degradation of the environment. The scope of environmental protection expenditure is defined according to the Classification of Environmental Protection Activities (CEPA 2000).
\n\n
Data source(s): joint OECD/Eurostat questionnaire on EPEA. Eurostat sends the questionnaire annually to its member countries, the OECD every two years.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: April 10, 2025
\n\n"}, {"@xml:lang": "fr", "#text": "
Le compte des dépenses de protection de l'environnement (EPEA) est une description monétaire des activités de protection de l'environnement conformément au cadre central du Système de comptabilité économique et environnementale (SEEA). Il est cohérent avec le Système européen des comptes (SEC 2010), qui s'applique aux comptes nationaux et aux comptes satellites connexes.
\n\n
La protection de l'environnement comprend toutes les activités et actions dont l'objectif principal est la prévention, la réduction et l'élimination de la pollution et de toute autre dégradation de l'environnement. Le champ des dépenses de protection de l'environnement est défini selon la Classification des activités de protection de l'environnement (CEPA 2000).
\n\n
Source(s) de données : questionnaire conjoint OCDE/Eurostat sur les dépenses de protection de l'environnement. Eurostat envoie le questionnaire chaque année à ses pays membres, l'OCDE un an sur deux.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 10 Avril 2025
\nDocumentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_EPEA", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ERTR@DF_ERTR", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=TAXREV,UNIT_MEASURE=USD,CATEGORY=_T,DOMAIN=_T,TIME_PERIOD_START=2017", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Environmentally related tax revenue"}, {"@xml:lang": "fr", "#text": "Recettes provenant des taxes li\u00e9es \u00e0 l'environnement"}], "common:Description": [{"@xml:lang": "en", "#text": "\n\n\n \n \nEnvironmentally related taxes are effective policy instruments to shape relative prices of goods and services. The Environmental Related Tax Revenue Database (ERTR) categorises taxes based on their environmental relevance, constructing environmentally related tax revenue with a breakdown by tax-base category (including energy, transport, pollution, and resources) and 22 environmental domains. Note that tax-base categories are mutually exclusive, while domains are not. Therefore, one should not aggregate revenue across domains as it may lead to double counting.
\n
Data source(s): ERTR draws from the OECD Policy Instruments for the Environment (PINE) database. The database contains detailed qualitative and quantitative information on environmentally related taxes and fees, tradable permits and offsets, deposit-refund schemes, environmentally beneficial subsidies and payments and voluntary approaches used for environmental policy. It is updated annually and covers OECD member countries, accession countries and selected non-OECD countries. The data has been cross-validated and complemented with Revenue statistics from the Global Revenue Statistics databases, Eurostat National Tax Lists, and official national sources.
\nContact: pinedatabase@oecd.org
\nDataset release date: July 2024
\nFor further details on the dataset consult the dataset documentation and oe.cd/pine. For revenue data at the individual-tax level, please consult https://oe.cd/pinedatabase.
\n\n"}, {"@xml:lang": "fr", "#text": "\n\n\n \n \nLes taxes li\u00e9es \u00e0 l'environnement sont des instruments politiques efficaces pour influencer les prix relatifs des biens et des services. La base de donn\u00e9es sur les recettes fiscales li\u00e9es \u00e0 l'environnement (ERTR) classe les taxes en fonction de leur importance pour l'environnement, en construisant des recettes fiscales li\u00e9es \u00e0 l'environnement avec une ventilation par cat\u00e9gorie d'assiette (y compris l'\u00e9nergie, les transports, la pollution et les ressources) et 22 domaines environnementaux. Il convient de noter que les cat\u00e9gories d'assiette sont mutuellement exclusives, alors que les domaines ne le sont pas. Par cons\u00e9quent, il ne faut pas agr\u00e9ger les recettes entre les domaines, car cela peut conduire \u00e0 un double comptage.
\n\n
Source(s) de donn\u00e9es : ERTR s'appuie sur la base de donn\u00e9es PINE (Instruments politiques pour l'environnement) de l'OCDE. Cette base de donn\u00e9es contient des informations qualitatives et quantitatives d\u00e9taill\u00e9es sur les taxes et redevances li\u00e9es \u00e0 l'environnement, les permis n\u00e9gociables et les compensations, les syst\u00e8mes de d\u00e9p\u00f4t-remboursement, subventions et paiements b\u00e9n\u00e9fiques pour l\u2019environnement et les approches volontaires utilis\u00e9es dans le cadre de la politique environnementale. Elle est mise \u00e0 jour chaque ann\u00e9e et couvre les pays membres de l'OCDE, les pays en voie d'adh\u00e9sion et certains pays non membres de l'OCDE. Les donn\u00e9es ont fait l'objet d'une validation crois\u00e9e et ont \u00e9t\u00e9 compl\u00e9t\u00e9es par des statistiques sur les recettes provenant des bases de donn\u00e9es des statistiques mondiales sur les recettes, des listes fiscales nationales d'Eurostat et de sources nationales officielles.
\nContact : pinedatabase@oecd.org
\nDate de publication de la base de donn\u00e9es : juillet 2024
Pour plus de détails sur l'ensemble de données, consultez la documentation de la base de donnéeset oe.cd/pine. Pour les données sur les recettes au niveau de l'impôt individuel, veuillez consulter https://oe.cd/pinedatabase.
\n\n"}], "structure:Structure": {"Ref": {"@id": "DSD_ERTR", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ERTR@DF_ERTR_ACC", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "CATEGORY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=DNK,UNIT_MEASURE=USD,TIME_PERIOD_START=2013", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Environmentally related tax revenue accounts"}, {"@xml:lang": "fr", "#text": "Comptes de recettes fiscales li\u00e9es \u00e0 l'environnement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents the data collected from OECD and partner economies on environmentally related tax revenue accounts with a breakdown by tax-base category and industrial activity. Taxes levied on greenhouse gas (GHG) emissions are explicitly reported in two sub-categories: an energy related part (recorded as an energy tax) and a non-energy related part, such as certain GHG emissions related to landfills or agriculture (recorded as a pollution tax). Four \"memo items\" (i.e. information items that do not change the total) are included: (i) Certain land taxes; (ii) Taxes on oil and natural gas extraction; (iii) Taxes on the resource rent; (iv) Elevated value added taxes levied on environmentally related tax-bases. The OECD ERTR accounts are consistent with the existing data collection by Eurostat and are in line with the System of Environmental-Economic Accounting - Central Framework (SEEA-CF).
\nThe dataset is updated on a biennial basis. For EU countries, it includes the information on ERTR accounts reported to Eurostat.
\nDataset release date: 2024 September
\nContact: ENV.Stat@oecd.org
\nFor further details on the dataset consult: OECD (2023), Methodological Guidelines for Environmentally Related Tax Revenue Accounts, OECD Publishing, Paris, https://doi.org/10.1787/d752d120-en.
"}, {"@xml:lang": "fr", "#text": "Cet ensemble de données présente les données collectées auprès de l'OCDE et des économies partenaires sur les comptes de recettes fiscales liées à l'environnement, avec une ventilation par catégorie d'assiette et par activité industrielle. Les taxes prélevées sur les émissions de gaz à effet de serre (GES) sont explicitement déclarées dans deux sous-catégories : une partie liée à l'énergie (enregistrée comme taxe sur l'énergie) et une partie non liée à l'énergie, telle que certaines émissions de GES liées aux décharges ou à l'agriculture (enregistrée comme taxe sur la pollution). Quatre « postes pour mémoire » (c'est-à-dire des éléments d'information qui ne modifient pas le total) sont inclus : (i) certaines taxes foncières ; (ii) les taxes sur l'extraction du pétrole et du gaz naturel ; (iii) les taxes sur la rente des ressources ; (iv) les taxes sur la valeur ajoutée élevées prélevées sur les assiettes fiscales liées à l'environnement. Les comptes ERTR de l'OCDE sont cohérents avec la collecte de données existante par Eurostat et sont conformes au Système de comptabilité économique et environnementale - Cadre central (SCEE-CF).
\nL'ensemble des données est mis à jour tous les deux ans. Pour les pays de l'UE, il comprend les informations sur les comptes ERTR communiquées à Eurostat.
\nDate de publication de l'ensemble de données : 2024 septembre
\nContact : ENV.Stat@oecd.org
\nPour plus de détails sur l'ensemble de données, consultez: OECD (2023), Methodological Guidelines for Environmentally Related Tax Revenue Accounts, OECD Publishing, Paris, https://doi.org/10.1787/d752d120-en.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ERTR", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EWASTE@DF_EWASTE", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,PRODUCT_CATEGORIES", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2010,MEASURE=GEN,UNIT_MEASURE=T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Waste - Electrical and electronic equipment (e-waste or WEEE)"}, {"@xml:lang": "fr", "#text": "D\u00e9chets - \u00c9quipements \u00e9lectriques et \u00e9lectroniques (e-d\u00e9chets ou DEEE)"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset provides data on the generation, recycling and reuse of e-waste in OECD countries, one of the fastest growing and most complex waste streams in the world, affecting both human health and the environment and proliferating a loss of valuable raw materials.
\n\n
Data source(s): (i) OECD-UNITAR questionnaire for non-European countries (ii) Eurostat (https://ec.europa.eu/eurostat/web/waste/data/database) for European countries
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: March 7, 2025
\n\n\n
Cette base de données fournit des informations sur la production, le recyclage et la réutilisation des déchets électroniques dans les pays de l'OCDE, l'un des flux de déchets les plus complexes et à la croissance la plus rapide au monde, affectant à la fois la santé humaine et l'environnement et entraînant une perte de matières premières précieuses.
\n\n
Source(s) de données : (i) questionnaire OCDE-UNITAR pour les pays non-européens (ii) Eurostat (https://ec.europa.eu/eurostat/web/waste/data/database) pour les pays européens.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 7 mars 2025
\n\n
Documentation de la base de données
\nThe Mortality and Welfare Costs from Exposure to Environmental Risks database provides data on health impacts and welfare costs from exposure to environmentally-related risks. This dataset integrates data on mortality and Disability-Adjusted Life Years (DALYs) from the Global Burden of Disease Study 2019 (GBD 2019), and quantifies welfare costs using a methodology adapted from the OECD (2017), The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries. The database covers a wide range of environmental risks, including air pollution, climate-related threats, exposure to hazardous substances such as lead and radon, unsafe water and sanitation, environment-related occupational risks, and environment-related behavioral risks. The data are disaggregated by gender and age groups, providing a granular view of how these risks impact dimensions of the population.
\nData source(s):
\nGBD (2019), Global Burden of Disease Study 2019 Results, Institute for Health Metrics and Evaluation, Seattle, United States. http://ghdx.healthdata.org/gbd-results-tool
\nGBD 2019 Risk Factor Collaborators (2020), Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet, Volume 396, Issue 10258, Pages 1223-1249. https://doi.org/10.1016/S0140-6736(20)30752-2. Online Appendix 1: https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf
\nOECD (2017), The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries, OECD Publishing, Paris. http://dx.doi.org/10.1787/d1b2b844-en
\nContact: env.stat@oecd.org
\nDataset release date: December 2020
\nFor further details on the dataset, consult the Dataset documentation.
"}, {"@xml:lang": "fr", "#text": "La base de données Mortalité, morbidité et coûts en bien-être imputables à l'exposition aux risques liés à l'environnement fournit des données sur les effets sur la santé et les coûts sociaux de l'exposition à des risques liés à l'environnement. Cet ensemble de données intègre des données sur la mortalité et les années de vie corrigées de l'incapacité (AVCI) provenant de l'Étude sur la charge mondiale de morbidité 2019 (GBD 2019), et quantifie les coûts de bien-être en utilisant une méthodologie adaptée de l'OCDE (2017), The Rising Cost of Ambient Air Pollution thus far in the 21st Century. La base de données couvre un large éventail de risques environnementaux, notamment la pollution de l'air, les menaces liées au climat, l'exposition à des substances dangereuses telles que le plomb et le radon, l'eau insalubre et l'assainissement, les risques professionnels liés à l'environnement et les risques comportementaux liés à l'environnement. Les données sont ventilées par sexe et par tranche d'âge, ce qui permet d'avoir une vision granulaire de l'impact de ces risques sur certaines dimensions de la population.
\nSource(s) de données :
\nGBD (2019), Résultats de l'étude Global Burden of Disease 2019, Institute for Health Metrics and Evaluation, Seattle, États-Unis. http://ghdx.healthdata.org/gbd-results-tool
\nCollaborateurs des Facteurs de Risque GBD 2019 (2020), Charge mondiale de 87 facteurs de risque dans 204 pays et territoires, 1990-2019 : une analyse systématique pour l'étude Global Burden of Disease 2019, The Lancet, Volume 396, Numéro 10258, Pages 1223-1249. https://doi.org/10.1016/S0140-6736(20)30752-2. Annexe en ligne 1 : https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf
\nOCDE (2017), Le coût croissant de la pollution atmosphérique ambiante jusqu'à présent au XXIe siècle : Résultats pour les pays des BRIICS et de l'OCDE, Éditions OCDE, Paris. http://dx.doi.org/10.1787/d1b2b844-fr
\nPour plus de détails sur le jeu de données, consultez la documentation du jeu de donnéesThis dataset traces net changes in terms of volume in the growing stock of standing wood on forest land. Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators, in particular land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. Please bear in mind that definitions and estimation methods vary for some countries. For details see:
\n\n
Data source(s): OECD Annual Quality Assurance (AQA) questionnaire.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: March, 2025
\n\n\n
\n\n
Cette base de données retrace les changements nets en termes de volume du stock croissant de bois sur pied sur les terres forestières. L'épuisement et la croissance des forêts décrivent les équilibres ou les déséquilibres dans différents types de forêts. L'intensité de l'utilisation des ressources forestières reflète les différentes méthodes de gestion des forêts et leur durabilité. Ces données doivent être lues en relation avec d'autres indicateurs, en particulier les changements d'utilisation des terres et la qualité des forêts (diversité des espèces, dégradation des forêts), et être complétées par des données sur les pratiques de gestion forestière et les mesures de protection. Il convient de garder à l'esprit que les définitions et les méthodes d'estimation varient d'un pays à l'autre. Pour plus de details, voir:
\n\n
Source(s) de données : Questionnaire Assurance Qualité Annuelle (AQA) de l’OCDE
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : mars 2025
\n\n\n
\n\n
La base de données de l'OCDE sur la croissance verte contient des indicateurs sélectionnés pour suivre les progrès vers la croissance verte afin de soutenir l'élaboration des politiques et d'informer le grand public. Les indicateurs ont été structurés autour de quatre groupes afin d'appréhender les principales caractéristiques de la croissance verte :
\nSource(s) de données : La base de données synthétise des données et des indicateurs selon des critères bien spécifiés, dans un large éventail de domaines, à partir de bases de données de l'OCDE et de sources de données externes. Pour plus de détails sur l'ensemble des données, consultez la documentation de la base de données.
\nContact : env.stat@oecd.org
\nDate de publication de la base de données : septembre 2024
"}, {"@xml:lang": "en", "#text": "The OECD Green Growth database contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicators have been structured around four groups to capture the main features of green growth:
Data source(s): The database synthesises data according to well-specified criteria, across a wide range of domains from both OECD databases and external data sources. For further details, consult the database documentation.
\nDataset release date: September 2024
\nContact: env.stat@oecd.org
"}], "structure:Structure": {"Ref": {"@id": "DSD_GG", "@version": "1.1", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_GREEN_TRANSITION@DF_GREEN_TRANSITION", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=1990,MEASURE=BONDS", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Green transition"}, {"@xml:lang": "fr", "#text": "Green transition"}], "structure:Structure": {"Ref": {"@id": "DSD_GREEN_TRANSITION", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HAZW@DF_HAZW", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2010", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Waste - Hazardous waste: generation and movements"}, {"@xml:lang": "fr", "#text": "D\u00e9chets - D\u00e9chets dangereux: production et mouvements"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents information on national production, movement and disposal of hazardous waste. Hazardous waste refer to the categories of waste to be controlled according to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and their Disposal on the control of transboundary movements of hazardous waste and their disposal.
\n\n
Data source(s): (i) OECD State of the environment questionnaire for non-European countries and (ii) Eurostat database (https://ec.europa.eu/eurostat/web/environment/database) for EU countries.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: December 6, 2023
\n\n"}, {"@xml:lang": "fr", "#text": "
Cette base de données présente les données sur la production nationale, les mouvements et le traitement de déchets dangereux. Les déchets dangereux correspondent aux catégories de déchets à contrôler d'après la Convention de Bâle sur le contrôle des mouvements transfrontières des produits dangereux et leur élimination.
\n\n
Source(s) de données : (i) Questionnaire OCDE sur l’’etat de l’environnement pour les pays non-européens et (ii) base de données Eurostat (https://ec.europa.eu/eurostat/web/environment/database) pour les pays européens.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 6 décembre 2023
\n\n
Documentation de la base de données
\nLand resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both:
\n\n
\n
The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).
\n\n
Data source(s): Food and Agriculture Organization of the U.N., (FAOSTAT)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: July 5, 2024
\n\n\n
Les ressources foncières sont l'une des quatre composantes de l'environnement naturel : l'eau, l'air, la terre et les ressources vivantes. Dans ce contexte, la terre est à la fois
\n\n
- un "milieu" physique nécessaire au développement de la végétation naturelle et de la végétation cultivée ;
\n- une ressource pour les activités humaines.
\n\n
Les données présentées ici fournissent des informations sur l'état et les changements de l'utilisation des terres (par exemple, terres agricoles, terres forestières).
\n\n
Source(s) de données : Organisation des Nations unies pour l'alimentation et l'agriculture, (FAOSTAT)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 5 Juillet 2024
\n\n
Documentation de la base de données
\nLand resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both:
\n\n
\n
The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).
\n\n
Data source(s): Food and Agriculture Organization of the U.N., (FAOSTAT)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: June 3, 2024
\n\n\n
Les ressources foncières sont l'une des quatre composantes de l'environnement naturel : l'eau, l'air, la terre et les ressources vivantes. Dans ce contexte, la terre est à la fois
\n\n
- un "milieu" physique nécessaire au développement de la végétation naturelle et de la végétation cultivée ;
\n- une ressource pour les activités humaines.
\n\n
Les données présentées ici fournissent des informations sur l'état et les changements de l'utilisation des terres (par exemple, terres agricoles, terres forestières).
\n\n
Source(s) de données : Organisation des Nations unies pour l'alimentation et l'agriculture, (FAOSTAT)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 3 Juin 2024
\n\n
Documentation de la base de données
\nThese data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers.
\n\n
Data source(s): U.N. Environment Programme (UNEP) Global Material Flows Database for non European countries and for material footprint data; Eurostat’s Material Flow and Productivity database (for EU countries + Norway, Switzerland and Türkiye)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: June 27, 2024
\n\n"}, {"@xml:lang": "fr", "#text": "
Ces données concernent les ressources matérielles, c.à.d. les matières issues de ressources naturelles qui constituent la base matérielle de l'économie : les métaux (ferreux, non-ferreux), les minéraux non-métalliques (minéraux de construction, minéraux industriels), la biomasse (bois, aliments), les énergies fossiles.
\n\n
Source(s) de données : Base de données du Programme des Nations unies pour l'environnement (PNUE) sur les flux mondiaux de matières pour les pays non européens et pour les données relatives à l'empreinte matérielle ; base de données d'Eurostat sur les flux de matières et la productivité (pour les pays de l'UE + la Norvège, la Suisse et la Turquie).
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 27 Juin 2024
\n\n
Documentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_MATERIAL_RESOURCES", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_MUNW@DF_MUNW", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,OBS_STATUS_4", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=MUNICIPAL,TIME_PERIOD_START=2015,UNIT_MEASURE=T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER,CONVERSION_TYPE,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Waste - Municipal waste: generation and treatment"}, {"@xml:lang": "fr", "#text": "D\u00e9chets - D\u00e9chets municipaux: production et traitement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents trends in amounts of municipal waste generated (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.
\n\n
Data source(s): OECD Annual Quality Assurance (AQA) questionnaire (jointly collected with Eurostat) for OECD countries. UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at: https://unstats.un.org/unsd/envstats/country_files) for non-OECD countries.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: April 9, 2025
\n\n"}, {"@xml:lang": "fr", "#text": "
Cette base de données présente les tendances des quantités de déchets municipaux produites (y compris les déchets des ménages), ainsi que les méthodes de traitement et d'élimination utilisées. Les quantités de déchets produites dans chaque pays sont liées au degré d'urbanisation, aux types et structures de consommation ainsi qu'au niveau des revenus et style de vie des ménages.
\n\n
Source(s) de données: Questionnaire Assurance Qualité Annuelle (AQA) de l’OCDE (conjointement avec Eurostat) pour les pays OCDE. UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (disponible à l'adresse : https://unstats.un.org/unsd/envstats/country_files) pour les pays non membres de l'OCDE.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 9 avril 2025
\n\n
Documentation de la base de données
\nPatent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries' innovation performance as well as the design of governments' environmental and innovation policies.
\nThis dataset presents data on bilateral collaborations in environment-related technologies, using inventors’ country of residence.
\nFor more information on the methodology, click the link below on "Database documentation"
\nData source(s): OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact: ENV.Stat@oecd.org
\nDataset release date: March 12, 2025
\n"}, {"@xml:lang": "fr", "#text": "Les statistiques et les indicateurs relatifs aux brevets sont adaptés au suivi de l'innovation dans les technologies liées à l'environnement. Ils permettent d'évaluer les performances des pays en matière d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.
\nCette base de données présente des données sur les collaborations bilatérales dans le domaine des technologies liées à l'environnement, en utilisant le pays de résidence des inventeurs.
\nPour plus d'information sur la méthodologie, suivre le lien ci-dessous sur la "Documentation de la base de données".
\nSource(s) de données : OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact : ENV.Stat@oecd.org
\nDate de publication de la base de données : 12 Mars 2025
\nDocumentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_PAT_COL", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PAT_COL_RATES@DF_PAT_COL_RATES", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TECH", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,MEASURE=WITHIN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Patents - international collaboration in technology development"}, {"@xml:lang": "fr", "#text": "Brevets - Collaboration internationale dans le d\u00e9veloppement technologique"}], "common:Description": [{"@xml:lang": "en", "#text": "Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries' innovation performance as well as the design of governments' environmental and innovation policies.
\nThis dataset presents data on shares of co-inventions and on shares of inventors’ collaborations across the OECD area and elsewhere, in environment-related technologies, using inventors’ country of residence.
\nFor more information on the methodology, click the link below on "Database documentation"
\nData source(s): OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact: ENV.Stat@oecd.org
\nDataset release date: March 12, 2025
\n"}, {"@xml:lang": "fr", "#text": "Les statistiques et les indicateurs relatifs aux brevets sont adaptés au suivi de l'innovation dans les technologies liées à l'environnement. Ils permettent d'évaluer les performances des pays en matière d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.
\nCette base de données présente des données sur la part des co-inventions et sur la part des collaborations entre inventeurs dans la zone OCDE et ailleurs, dans le domaine des technologies liées à l'environnement, en utilisant le pays de résidence de l'inventeur.
\nPour plus d'information sur la méthodologie, suivre le lien ci-dessous sur la "Documentation de la base de données".
\nSource(s) de données : OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact : ENV.Stat@oecd.org
\nDate de publication de la base de données : 12 Mars 2025
\nDocumentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_PAT_COL_RATES", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PAT_DEV@DF_PAT_DEV", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SEX=TOTAL,UNIT_MEASURE=PATN,SIZE=TWO,TECH=ENV_PAT,TIME_PERIOD_START=2015", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Patents - technology development"}, {"@xml:lang": "fr", "#text": "Brevets - d\u00e9veloppement technologique"}], "common:Description": [{"@xml:lang": "en", "#text": "Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries' innovation performance as well as the design of governments' environmental and innovation policies.
\n\n
This dataset presents data on inventions in environment-related technologies, using inventors’ country of residence, as well as on shares of inventions by gender of the inventor.
\n\n
Data source(s): OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: March 12, 2025
\n\n"}, {"@xml:lang": "fr", "#text": "
Les statistiques et les indicateurs relatifs aux brevets sont adaptés au suivi de l'innovation dans les technologies liées à l'environnement. Ils permettent d'évaluer les performances des pays en matière d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.
\n\n
Cette base de données présente des données sur les inventions dans le domaine des technologies liées à l'environnement, en utilisant le pays de résidence des inventeurs, ainsi que sur la part des inventions en fonction du sexe de l'inventeur.
\n\n
Source(s) de données : OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 12 Mars 2025
\n\n
Documentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_PAT_DEV", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PAT_DIFF@DF_PAT_DIFF", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TECH", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2010,PAT=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Patents - technology diffusion"}, {"@xml:lang": "fr", "#text": "Brevets - Diffusion technologique"}], "common:Description": [{"@xml:lang": "en", "#text": "Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries' innovation performance as well as the design of governments' environmental and innovation policies.
\nThis dataset presents data on patent applications by patent office.
\nFor more information on the methodology, click the link below on "Database documentation"
\nData source(s): OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact: ENV.Stat@oecd.org
\nDataset release date: March 12, 2025
\n"}, {"@xml:lang": "fr", "#text": "Les statistiques et les indicateurs relatifs aux brevets sont adaptés au suivi de l'innovation dans les technologies liées à l'environnement. Ils permettent d'évaluer les performances des pays en matière d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.
\nCette base de données présente des données sur les demandes de brevets par office des brevets.
\nPour plus d'information sur la méthodologie, suivre le lien ci-dessous sur la "Documentation de la base de données".
\nSource(s) de données : OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact : ENV.Stat@oecd.org
\nDate de publication de la base de données : 12 Mars 2025
\nDocumentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_PAT_DIFF", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PAT_IND@DF_PAT_IND", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TYPE,TECH", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2010", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Patents - indicators"}, {"@xml:lang": "fr", "#text": "Brevets - indicateurs"}], "common:Description": [{"@xml:lang": "en", "#text": "Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries' innovation performance as well as the design of governments' environmental and innovation policies.
\nThis dataset presents indicators on patents derived from the other patent databases (international collaborations, patent development and patent diffusion).
\nFor more information on the methodology, click the link below on "Database documentation"
\nData source(s): OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact: ENV.Stat@oecd.org
\nDataset release date: March 12, 2025
\n"}, {"@xml:lang": "fr", "#text": "Les statistiques et les indicateurs relatifs aux brevets sont adaptés au suivi de l'innovation dans les technologies liées à l'environnement. Ils permettent d'évaluer les performances des pays en matière d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.
\nCette base de données présente des indicateurs sur les brevets dérivés des autres bases de données sur les brevets (collaborations internationales, développement de brevets et diffusion de brevets).
\nPour plus d'information sur la méthodologie, suivre le lien ci-dessous sur la \"Documentation de la base de données\".
\nSource(s) de données : OECD, STI Micro-data Lab: Intellectual Property Database, http://oe.cd/ipstats
\nContact : ENV.Stat@oecd.org
\nDate de publication de la base de données : 12 Mars 2025
\nDocumentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_PAT_IND", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SOE@DF_SOE", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,DESIGNATION,RET_PERIOD,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0,UNIT_MEASURE=_X,DEGISNATION=(_T+_Z),RET_PERIOD=(_T+_Z),REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2017", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "8000", "common:AnnotationType": "MAX_TABLE_DATA"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,DESIGNATION,RET_PERIOD;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Measure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Ocean Economy"}, {"@xml:lang": "fr", "#text": "Economie durable de l'oc\u00e9an"}], "common:Description": {"@xml:lang": "en", "#text": "DocumentationThe ocean is a shared global resource. Ocean-related industries in many countries have expanded with insufficient consideration for the environment, risking the natural resources and the essential marine ecosystem services on which economies and people’s well-being depend.
The OECD Sustainable Ocean Economy Database synthesizes available ocean-related datasets and indicators from across the Organisation to improve their discoverability and comparability. The database brings together relevant indicators from the Environment Directorate (ENV), the Trade and Agriculture Directorate (TAD), the Centre for Entrepreneurship, SMEs, Regions and Cities (CFE), the International Transport Forum (ITF), the International Energy Agency (IEA), and others.
The conceptual frameworkThe database structure follows the OECD’s Green Growth indicators framework. It is designed to help answer the following questions:
Indicators for the following main themes are provided:
This is a work in progress. Advances in many areas are needed to build a truly integrated database measuring the sustainability of the ocean economy. Development of new or improved ocean indicators will require mobilising data in existing statistics and statistical systems (e.g. satellite accounts to identify ocean industries in the SNA), building new statistical methodologies (e.g. air emission accounts for maritime shipping [SEEA-CF] or ocean ecosystem accounts [SEEA-EEA]) and identifying new sources of data (e.g. Earth observation).
"}, "structure:Structure": {"Ref": {"@id": "DSD_SOE", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WATER_ABSTRACT@DF_WATER_ABSTRACT", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SOURCE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SOURCE=TOTAL_ABSTRACT,MEASURE=TOTAL,TIME_PERIOD_START=2010,UNIT_MEASURE=M3_PS", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Freshwater - abstractions"}, {"@xml:lang": "fr", "#text": "Eau douce - pr\u00e9l\u00e8vements"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total abstractions.
\n\n
When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by member countries may vary considerably.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: https://unstats.un.org/unsd/envstats/country_files))
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: April 15, 2025
\n\n
Country metadata - Métadonnées pays
"}, {"@xml:lang": "fr", "#text": "Cette base de données montre les prélèvements d'eau par source (eaux de surface et eaux souterraines) et par utilisation principale. Les prélèvements d'eau font référence à l'eau prélevée dans les sources d'eau souterraines ou de surface et acheminée jusqu'au lieu d'utilisation. Si l'eau retourne à une source d'eau de surface, le prélèvement de la même eau par l'utilisateur en aval est recompté dans le calcul des prélèvements totaux.
\n\n
Lors de l'interprétation de ces données, il convient de garder à l'esprit que les définitions et les méthodes d'estimation employées par les états membres peuvent varier considérablement.
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 15 Avril 2025
\n\n
Country metadata - Métadonnées pays
"}], "structure:Structure": {"Ref": {"@id": "DSD_WATER_ABSTRACT", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WATER_ASSET_ACCOUNTS@DF_WATER_ASSET_ACCOUNTS", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PERIOD=LTAA,REF_AREA=AUS", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Water accounts - assets"}, {"@xml:lang": "fr", "#text": "Comptes de l'eau - actifs"}], "common:Description": [{"@xml:lang": "en", "#text": "Water flow accounts describe flows of water, in physical units, encompassing the initial abstraction of water resources from the environment into the economy, to the water flows within the economy in the form of supply and use by industries and households, and finally, flows of water back to the environment.
\n\n
Asset accounts for water resources focus on the inflows and outflows of water to and from the land surface and subsurface, and on the destination of these flows. They present information on the stock of water at the beginning and end of an accounting period.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: March 5, 2024
\n\n"}, {"@xml:lang": "fr", "#text": "
Les comptes de flux d'eau décrivent les flux d'eau, en unités physiques, englobant l'extraction initiale des ressources en eau de l'environnement vers l'économie, les flux d'eau au sein de l'économie sous la forme d'approvisionnement et d'utilisation par les industries et les ménages, et enfin les flux d'eau retournant à l'environnement.
\n\n
Les comptes d'actifs pour les ressources en eau se concentrent sur les flux d'eau entrants et sortants de la surface du sol et du sous-sol, ainsi que sur la destination de ces flux. Ils présentent des informations sur le stock d'eau au début et à la fin d'une période comptable.
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 5 Mars 2024
\n\n
Documentation de la base de données
"}], "structure:Structure": {"Ref": {"@id": "DSD_WATER_ASSET_ACCOUNTS", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WATER_BALANCE@DF_WATER_BALANCE", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "SOURCE,MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2015", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Freshwater - balance table"}, {"@xml:lang": "fr", "#text": "Eaux douces - bilan hydrique"}], "common:Description": [{"@xml:lang": "en", "#text": "Water balance is a summary table of water abstractions and uses. Please refer to the "Freshwater abstractions" and "Water use" databases.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: March 12, 2025
"}, {"@xml:lang": "fr", "#text": "Le bilan hydrique est un tableau récapitulatif des prélèvements et des utilisations de l'eau. Veuillez vous référer aux bases de données "Prélèvements d'eau douce" et "Utilisation de l'eau".
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 12 Mars 2025
"}], "structure:Structure": {"Ref": {"@id": "DSD_WATER_BALANCE", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WATER_DISCHARGE@DF_WATER_DISCHARGE", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS,FREQ,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PAR=VOLUME,MEASURE=ALL_AGR", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Wastewater - generation and discharge"}, {"@xml:lang": "fr", "#text": "Eaux us\u00e9es - production et rejet"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset shows generation, treatment and discharges of wastewater, by source and in terms of volumes and of Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD).
\n\n
UN-Habitat, WHO, and UNSD are co-custodians for SDG Indicator 6.3.1. The Eurostat/OECD Joint Questionnaire on Inland Waters serves as an important data source for the indicator. Progress reports are published every three years and global, regional, and country estimates are updated routinely. Progress reports, a data portal, methodological details, and country files can be found on the SDG Indicator 6.3.1 website.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: https://unstats.un.org/unsd/envstats/country_files))
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: April 15, 2025
\n\n
Country metadata - Métadonnées pays
"}, {"@xml:lang": "fr", "#text": "Cette base de données montre la production, le traitement et les rejets d'eaux usées, par source et en termes de volumes et de demande biochimique en oxygène (BOD) et de demande chimique en oxygène (COD).
\n\n
ONU-Habitat, l'OMS et la DSNU sont les co-responsables de l'indicateur 6.3.1 de l'ODD;. Le questionnaire commun Eurostat/OCDE sur les eaux intérieures constitue une importante source de données pour cet indicateur. Les rapports d'avancement sont publiés tous les trois ans et les estimations mondiales, régionales et nationales sont régulièrement mises à jour. Les rapports d'avancement, un portail de données, des détails méthodologiques et des fichiers nationaux sont disponibles sur le site web de l'indicateur 6.3.1 des ODD.
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 15 Avril 2025
\n\n
Country metadata - Métadonnées pays
"}], "structure:Structure": {"Ref": {"@id": "DSD_WATER_DISCHARGE", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WATER_PSUT@DF_WATER_PSUT", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SUPPLY_USE=SUPPLY,TIME_PERIOD_START=2021,REF_AREA=AUS,ACTIVITY=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Water accounts - supply and use"}, {"@xml:lang": "fr", "#text": "Comptes de l'eau - ressources et des emplois"}], "common:Description": [{"@xml:lang": "en", "#text": "Water flow accounts describe flows of water, in physical units, encompassing the initial abstraction of water resources from the environment into the economy, to the water flows within the economy in the form of supply and use by industries and households, and finally, flows of water back to the environment.
\n\n
Physical supply and use tables can be compiled at various levels of detail, depending on the required policy and analytical focus and data availability. A basic PSUT for water contains information on the supply and use of water and provides an overview of water flows. The PSUT is divided into five sections which organize information on (a) abstraction of water from the environment; (b) distribution and use of abstracted water across enterprises and households; (c) flows of wastewater and reused water (between households and enterprises); (d) return flows of water to the environment; and (e) evaporation, transpiration and water incorporated into products.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: March 5, 2024
\n\n"}, {"@xml:lang": "fr", "#text": "
Les comptes de flux d'eau décrivent les flux d'eau, en unités physiques, englobant l'extraction initiale des ressources en eau de l'environnement vers l'économie, les flux d'eau au sein de l'économie sous la forme d'approvisionnement et d'utilisation par les industries et les ménages, et enfin les flux d'eau retournant à l'environnement.
\n\n
Les tableaux physiques des ressources et des emplois peuvent être compilés à différents niveaux de détail, en fonction de l'orientation politique et analytique requise et de la disponibilité des données. Un PSUT de base pour l'eau contient des informations sur l'approvisionnement et l'utilisation de l'eau et fournit une vue d'ensemble des flux d'eau. Le PSUT est divisé en cinq sections qui organisent les informations sur (a) le prélèvement d'eau dans l'environnement ; (b) la distribution et l'utilisation de l'eau prélevée par les entreprises et les ménages ; (c) les flux d'eaux usées et d'eau réutilisée (entre les ménages et les entreprises) ; (d) les flux de retour de l'eau dans l'environnement ; et (e) l'évaporation, la transpiration et l'eau incorporée dans les produits.
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 5 Mars 2024
\n\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: https://unstats.un.org/unsd/envstats/country_files))
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: April 15, 2025
\n\n
Country metadata - Métadonnées pays
"}, {"@xml:lang": "fr", "#text": "Cette base de données montre les ressources en eau douce et leurs cycle, par année et par moyenne à long terme.
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 15 Avril 2025
\n\n
Country metadata - Métadonnées pays
"}], "structure:Structure": {"Ref": {"@id": "DSD_WATER_RESOURCES", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WATER_TREAT@DF_WATER_TREAT", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TIME_PERIOD_START=2010", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Wastewater - connection rates to treatment"}, {"@xml:lang": "fr", "#text": "Eaux us\u00e9es - taux de raccordement au traitement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides information on the level of public equipment installed by countries to managed and abate water pollution. It shows the percentage of national population connected to "public" sewerage networks and related treatment facilities, and the percentage of national population connected to "public" wastewater treatment plants, and the degree of treatment. Connected here means actually connected to a wastewater plants through a public sewage network. When analysing these data, it should be kept in mind that the optimal connection rate is not necessarily 100%. It may vary among countries and depends on geographical features and on the spatial distribution of habitats. The interpretation of those data should take into account some variations in countries' definitions, as reflected in metadata.
\n\n
Data for EU countries, Iceland, Norway, Switzerland and Turkey is provisional. Data for these countries will be updated when Eurostat will have published its final data.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: Mars 12, 2025
\n\n
Country metadata - Métadonnées pays
"}, {"@xml:lang": "fr", "#text": "Cette base de données fournit des informations sur le niveau d'équipements publics existant dans les pays pour gérer et lutter contre la pollution de l'eau. Il présente les pourcentages de population nationale raccordée à un réseau d'assainissement collectif et à des installations de traitement, ainsi que les pourcentages de population nationale raccordée à une station d'épuration collective et le degré de traitement. Raccordée signifie effectivement connectée à une station d'épuration à travers un réseau public d'assainissement. En analysant ces données il faut garder à l'esprit que le taux optimal de connexion n'est pas nécessairement de 100%. Il peut varier d'un pays à l'autre et dépend des caractéristiques géographiques et de la distribution spatiale des habitats. L'interprétation de ces données doit prendre en compte les différences de définition entre les pays telles que les métadonnées le précisent.
\n\n
Les données pour les pays UE, Norvège, Islande, Suisse et Turquie sont provisoires. Les données pour ces pays seront mis à jour une fois que Eurostat aura publié ses données finales.
\n\n
Source(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 12 Mars 2025
\n\n\n
\n
Data for EU countries, Iceland, Norway, Switzerland and Turkey is provisional. Data for these countries will be updated when Eurostat will have published its final data.
\n\n
Data source(s): Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (https://unstats.un.org/unsd/envstats/country_files)
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: April 14, 2025
\n\n
Country metadata - Métadonnées pays
"}, {"@xml:lang": "fr", "#text": "Cette base de données présente des données nationales sur l'eau mise à disposition pour l'utilisation, par secteur. L'interprétation de ces données doit prendre en compte les différences de définition entre les pays telles que les métadonnées le précisent.
\nLes données pour les pays UE, Norvège, Islande, Suisse et Turquie sont provisoires. Les données pour ces pays seront mis à jour une fois que Eurostat aura publié ses données finales.
\nSource(s) de données : Questionnaire conjoint OCDE/Eurostat sur les eaux intérieures. Les données pour les pays non-OCDE sont sourcées de UNSD (https://unstats.un.org/unsd/envstats/country_files)
\nContact : ENV.Stat@oecd.org
\nDate de publication de la base de données : 14 Avril 2025
\nCountry metadata - Métadonnées pays
"}], "structure:Structure": {"Ref": {"@id": "DSD_WATER_USE", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WILD_LIFE@DF_WILD_LIFE", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "SPECIES", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=THREAT_PERCENT", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Threatened species"}, {"@xml:lang": "fr", "#text": "Esp\u00e8ces menac\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset presents the latest data on the state of threatened species, by species type.
\n\n
When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in existence and that varying definitions can limit comparability across countries.
\n\n
Data source(s): OECD Annual Quality Assurance (AQA) questionnaire.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: February 26, 2025
\n\n"}, {"@xml:lang": "fr", "#text": "
Cette base de données présente les données les plus récentes sur la situation des espèces menacées, par type d'espèce.
\n\n
Lors de l'interprétation de ces données, il convient de garder à l'esprit que le nombre d'espèces connues ne reflète pas toujours avec précision le nombre d'espèces existantes et que des définitions différentes peuvent limiter la comparabilité entre les pays.
\n\n
Source(s) de données : Questionnaire Assurance Qualité Annuelle (AQA) de l’OCDE
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 26 f\u00e9vrier 2025
\n\n
Documentation de la base de données
\nThis dataset presents data on waste by economic sector, using the major divisions of the International Standard Industrial Classification (ISIC), revision 4.
\n\n
Data source(s): (i) OECD State of the Environment questionnaire on waste for non-EU countries; (ii) EU Waste Framework Directive for EU-countries (available in Eurostat database https://ec.europa.eu/eurostat/web/environment/database); and (iii) UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at: https://unstats.un.org/unsd/envstats/country_files) for non-OECD countries.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: December 6, 2023
\n\n"}, {"@xml:lang": "fr", "#text": "Cette base de donn\u00e9es pr\u00e9sente les quantit\u00e9s de d\u00e9chets produits par les diff\u00e9rents secteurs \u00e9conomiques, selon les grandes cat\u00e9gories de la Classification Internationale Type par Industrie (CITI), r\u00e9vision 4.\n\nSource(s) de donn\u00e9es : (i) questionnaire de l'OCDE sur l'\u00e9tat de l'environnement concernant pour les pays non membres de l'UE ; (ii) directive-cadre de l'UE sur les d\u00e9chets pour les pays de l'UE (disponible dans la base de donn\u00e9es d'Eurostat https://ec.europa.eu/eurostat/web/environment/database) ; et (iii) UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (disponible \u00e0 l'adresse suivante : https://unstats.un.org/unsd/envstats/country_files) pour les pays non membres de l'OCDE.\n\nContact : ENV.Stat@oecd.org \n\nDate de publication de la base de donn\u00e9es : 6 d\u00e9cembre 2023\n\nDocumentation de la base de donn\u00e9es"}], "structure:Structure": {"Ref": {"@id": "DSD_WSECTOR", "@version": "1.0", "@agencyID": "OECD.ENV.EPI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WSTREAMS@DF_WSTREAMS", "@agencyID": "OECD.ENV.EPI", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,MATERIAL", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=GEN,MATERIAL=PLASTIC", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Waste - Selected waste streams: generation, recovery and recycling"}, {"@xml:lang": "fr", "#text": "D\u00e9chets - Flux de d\u00e9chets s\u00e9lectionn\u00e9s: production, r\u00e9cup\u00e9ration et recyclage"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset presents the generation, recovery and recycling of selected waste streams. It includes all waste generated, i.e. household and other municipal waste, waste handled by the scrapping industry and other waste. Waste collected for recycling by private sources should be included. Waste material undergoing internal recycling, i.e. directly at the place of generation, is excluded.
\n\n
Data source(s): (i) OECD State of the environment questionnaire for non-European countries and (ii) Eurostat database (https://ec.europa.eu/eurostat/web/environment/database) for EU countries.
\n\n
Contact: ENV.Stat@oecd.org
\n\n
Dataset release date: May 6, 2024
\nCette base de données présente la production, la valorisation et le recyclage de certains flux de déchets. Il comprend tous les déchets produits, c'est-à-dire les déchets ménagers et autres déchets municipaux, les déchets traités par l'industrie de la ferraille et les autres déchets. Les déchets collectés pour le recyclage par des sources privées doivent être inclus. Les déchets faisant l'objet d'un recyclage interne, c'est-à-dire directement sur le lieu de production, sont exclus.
\n\n
Source(s) de données : (i) Questionnaire OCDE sur l’’etat de l’environnement pour les pays non-européens et (ii) base de données Eurostat (https://ec.europa.eu/eurostat/web/environment/database) pour les pays européens.
\n\n
Contact : ENV.Stat@oecd.org
\n\n
Date de publication de la base de données : 6 Mai 2024
\nThe OECD Database on Financial Management and Reporting contains the results of the 2022 OECD Survey on Financial Management and Reporting. The database provides practitioners, academics and civil society with an overview of financial management and reporting practices across OECD countries, including information on Financial Management Information Systems (FMIS) design and digital financial reporting.\n \t
\nThe content of the 2022 database was collected using an online questionnaire and a glossary was also provided.\n\t
\n \tThe 2022 dataset provides information on the following topics:
\n\t\n\tThe 2022 database comprises responses from 34 OECD countries1 and the data refers only to central/federal government practices as of 30 September 2022. Respondents were predominantly officials within accounting and finance departments. \nThe content of the database draws heavily upon self-reporting from governments representing the country\u2019s own assessment of current practices and procedures.
\n\tPreliminary results were presented at the 23rd Annual Meeting of the Working Party on Financial Management and Reporting in March 2023. \n\t
\n\n1For 2022, data for Colombia, Israel, Mexico and Slovenia are not available.\n\nThe OECD Database on Gender Budgeting contains the results of the 2022 OECD Survey on Gender Budgeting. The database provides budget practitioners, academics and civil society with an overview of gender budgeting practices from across OECD countries.\n \t
\nThe content of the 2022 database was collected using an online questionnaire and a glossary was also provided.\n\t
\n \tThe 2022 dataset provides information on the following topics:
\n\t\n\tA composite indicator was developed, encompassing the five parts of the survey (available here).
\nThe 2022 database comprises responses from all 38 OECD countries and the data refers only to central/federal government practices as of 1 March 2022. Respondents were predominantly budget officials within central budget authorities. The content of the database draws heavily upon self-reporting from governments representing the country\u2019s own assessment of current practices and procedures. \n
\n\tThe report Gender Budgeting in OECD Countries 2023 provides an overview of the 2022 survey results and also presents the 2022 OECD Gender Budgeting Index methodology.\n\t
\nThe OECD Database on Green Budgeting contains the results of the 2022 OECD Survey on Green Budgeting. The database provides budget practitioners, academics and civil society with an overview of green budgeting practices from across OECD countries.\n \t
\nThe content of the 2022 database was collected using an online questionnaire and a glossary was also provided.\n\t
\n \tThe 2022 dataset provides information on practices across the four building blocks of the 2020 OECD Green Budgeting Framework:
\n\t\n\tA composite indicator was developed, encompassing the four building blocks of the 2020 OECD Green Budgeting Framework (available here).
\nThe 2022 database comprises responses from 36 OECD countries1 and the data refers only to central/federal government practices as of 30 June 2022. Respondents were predominantly budget officials within central budget authorities. The content of the database draws heavily upon self-reporting from governments representing the country\u2019s own assessment of current practices and procedures. \n
\n\tPreliminary results were presented at the Meeting of the OECD Paris Collaborative on Green Budgeting in November 2022. \n\t
\n \n\n1For 2022, data for Costa Rica and Slovenia are not available.\n\nThe OECD dataset on the Governance of Infrastructure (Phase 2) contains the results of the 2022 OECD Survey on the Governance of Infrastructure. The database provides users with a unique resource on the governance of infrastructure in OECD countries. \nMore specifically, it provides data on a set of governance dimensions, including stakeholder participation, regulatory framework and permitting procedures, management of threats to integrity, and environmental sustainability and climate resilience.
The content of the database was collected using an online questionnaire and a glossary was also provided. The 2022 OECD Survey on the Governance of Infrastructure was conducted in May-October 2022 by the Infrastructure and Public Procurement Division of the OECD Directorate for Public Governance. It covers the entire infrastructure life cycle mapping out governments\u2019 decision making processes, tools and norms of interaction in the areas of stakeholder participation, regulation and permitting, integrity, evidence-informed decision making, sustainability and climate resilience.The 2022 Survey covers four of the ten pillars set out in the OECD Recommendation on the Governance of Infrastructure adopted by the OECD Executive Council in 2020. Additionally, it covers the cross-cutting theme of environmental sustainability and climate resilience. The first three pillars of the OECD Recommendation (strategic planning; fiscal sustainability, affordability and value for money; and public procurement) were covered in the 2020 OECD Survey on the Governance of Infrastructure (Phase 1).The dataset for the 2020 Survey is available here.
The goal of the 2022 Survey was to gather data and provide an improved understanding of current practices and procedures in infrastructure governance in OECD countries. The data collected allows for international comparative analysis, benchmarking of best practices, and monitoring of change in infrastructure governance practices over time in the following dimensions:
Part I: Ensure transparent, systematic and effective stakeholder participation
Part II: Promote a coherent, predictable, and efficient regulatory framework
Part III: Implement a whole of government approach to manage threats to integrity
Part IV: Promote evidence-informed decision making
Part V: Deliver environmentally sustainable and climate-resilient infrastructure
A composite indicator was developed for each of the five parts of the survey (available here). This database covers parts I, II, III and V of the survey. It comprises 34 OECD countries.The data draw heavily upon self-reporting from governments representing the country\u2019s own assessment of current practices and procedures. Respondents are predominantly senior officials in the central/federal ministries of infrastructure, public works and finance, as well as in infrastructure agencies and other line ministries. The data refers mostly to central/federal governments and excludes the subnational level.
"}, "structure:Structure": {"Ref": {"@id": "DSD_QDD_GOV_INFRA_PH_2", "@version": "1.0", "@agencyID": "OECD.GOV.GIP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_QDD_GOV_PE@DF_GOV_PE", "@agencyID": "OECD.GOV.GIP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,REF_AREA", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=CAN+FRA+DEU+ITA+JPN+GBR+USA", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Unfiltered Table in Excel (PE)|https://webfs.oecd.org/governmentataglance/Budgeting/Unfiltered%20Table%20in%20Excel%20(PE).xlsx"}, {"@xml:lang": "fr", "#text": "Unfiltered Table in Excel (PE)|https://webfs.oecd.org/governmentataglance/Budgeting/Unfiltered%20Table%20in%20Excel%20(PE).xlsx"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Public policy evaluation - 2023"}, {"@xml:lang": "fr", "#text": "\u00c9valuation des politiques publiques - 2023"}], "common:Description": {"@xml:lang": "en", "#text": "The 2023 OECD Survey on Public Policy Evaluation provides practitioners, academics and civil society with an overview of evaluation practices across OECD countries, including information on institutionalisation, quality and impact.\n \t
\nThe content of the 2023 database was collected using an online questionnaire and a glossary was also provided\n\t
\n \tThe 2023 dataset provides information on the following topics:
\n\t\n\tThe 2023 database comprises responses from 31 OECD countries1 and the data refers only to central/federal government practices as of 1 May 2023. Respondents were predominantly officials with evaluation coordination functions. \nThe content of the database draws heavily upon self-reporting from governments representing the country\u2019s own assessment of current practices and procedures.
\n\tPreliminary results were presented at the 5th Annual Meeting of the Evaluation Expert group on December 2023. \n\t
\n\n1For 2023, data for Finland, Germany, Israel, Korea, Slovenia, Slovak Republic and T\u00fcrkiye are not available."}, "structure:Structure": {"Ref": {"@id": "DSD_QDD_GOV_PE", "@version": "1.0", "@agencyID": "OECD.GOV.GIP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_QDD_GOV_PSLC_2022@DF_GOV_PSLC_2022", "@agencyID": "OECD.GOV.GIP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,REF_AREA", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=CAN+FRA+DEU+ITA+JPN+GBR", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Unfiltered Table in Excel (PSLC_2022)|https://webfs.oecd.org/governmentataglance/Public%20employment%20and%20management/Unfiltered%20Table%20in%20Excel%20(PSLC_2022).xlsx"}, {"@xml:lang": "fr", "#text": "Unfiltered Table in Excel (PSLC_2022)|https://webfs.oecd.org/governmentataglance/Public%20employment%20and%20management/Unfiltered%20Table%20in%20Excel%20(PSLC_2022).xlsx"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Public service leadership and capability - 2022"}, {"@xml:lang": "fr", "#text": "Leadership et les aptitudes de la fonction publique - 2022"}], "common:Description": {"@xml:lang": "en", "#text": "The 2022 OECD Survey on Public Service Leadership and Capability provides practitioners, academics and civil society with an overview of central and federal administrations\u2019 practices across OECD member countries on mobility, flexible working arrangements, and learning and development.\n \t
\nThe content of the 2022 database was collected using an online questionnaire and a glossary was also provided.\n\t
\n \tThe 2022 dataset provides information on the following topics:
\n\t\n\tThe 2022 database comprises responses from 37 OECD countries1 and the data refers only to central/federal government practices as of 1 January 2022. Respondents were predominantly officials from central human resource management administrations. The content of the database draws heavily upon self-reporting from governments representing the country\u2019s own assessment of current practices and procedures.
\n\tResults were published in Public Employment and Management 2023: Towards a More Flexible Public Service.. \n\t
\n\n1 For 2022, data for the United States are not available."}, "structure:Structure": {"Ref": {"@id": "DSD_QDD_GOV_PSLC_2022", "@version": "1.0", "@agencyID": "OECD.GOV.GIP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_QDD_GOV_REG@DF_GOV_REG", "@agencyID": "OECD.GOV.GIP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REGULATORY_CATEGORY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014,REF_AREA=AUS", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "REGULATORY_CATEGORY:OECD.GOV.GIP:HCL_REGULATORY_CATEGORY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Unfiltered Table in Excel (REG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6a2f2b0-332d-45a7-a1e3-8f8e91bcc2d7"}, {"@xml:lang": "fr", "#text": "Unfiltered Table in Excel (REG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6a2f2b0-332d-45a7-a1e3-8f8e91bcc2d7"}]}, {"common:AnnotationTitle": "18000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Regulatory governance"}, {"@xml:lang": "fr", "#text": "Gouvernance r\u00e9glementaire"}], "common:Description": {"@xml:lang": "en", "#text": "The OECD Dataset on the Indicators of Regulatory Policy and Governance (iREG) presents up-to-date evidence of regulatory policy and governance practices of the OECD member countries, \n the European Union as well as the five EU Member States that are not OECD member countries. It focuses on practices as described in the 2012 Recommendation of the Council on Regulatory Policy and Governance (Recommendation), \n the first international instrument to address regulatory policy as a whole-of-government activity. The data covers in detail three principles of the 2012 Recommendation: stakeholder engagement, regulatory impact assessment (RIA) and ex post evaluation. \n For each of these areas, the indicators present information in four categories: \n
The content of the database was collected through the 2014, 2017 and 2021 Regulatory Indicators surveys (more information can be found here). \n\tA composite indicator was developed, encompassing the three principles of the Recommendation (available here).\n\tThe Regulatory Policy division of the OECD Directorate for Public Governance conducted these surveys in the second semester of 2014, 2017 and 2020 respectively. \n Responses were provided by delegates to the OECD Regulatory Policy Committee (RPC) and central government officials. The data covers practices on the national level that apply to all policy areas. \n The data for stakeholder engagement and RIA focus on the processes of developing regulations (both primary and subordinate) that are carried out by the executive branch of the national government, the data for ex post evaluation covers all national regulations \n regardless of whether they were initiated by parliament or the executive. The survey questionnaire has been developed in close co-operation with RPC delegates and members of the OECD Steering Group on Measuring Regulatory Performance. Survey answers underwent a \n verification process carried out by the OECD Secretariat in co-operation with delegates to the RPC in order to enhance data quality and ensure comparability of answers across countries and over time.\n\t
\nResults were presented in the 2015, 2018 and\n 2021 OECD Regulatory Policy Outlook, as well as in the 2023 OECD Government at a Glance publication.\n The data for all EU Member States were presented in the 2019 Better Regulation Practices across the European Union report.\n
\nThe OECD Dataset on the Indicators of Regulatory Policy and Governance (iREG) presents up-to-date evidence of regulatory policy and governance practices of the OECD member countries, \n the European Union as well as the five EU Member States that are not OECD member countries. It focuses on practices as described in the 2012 Recommendation of the Council on Regulatory Policy and Governance (Recommendation), \n the first international instrument to address regulatory policy as a whole-of-government activity. The data covers in detail three principles of the 2012 Recommendation: stakeholder engagement, regulatory impact assessment (RIA) and ex post evaluation. \n For each of these areas, the indicators present information in four categories: \n
The content of the database was collected through the 2014, 2017 and 2021 Regulatory Indicators surveys (more information can be found here). The Regulatory Policy division of the OECD Directorate for Public Governance conducted these surveys in the second semester of 2014, 2017 and 2020 respectively. \n Responses were provided by delegates to the OECD Regulatory Policy Committee (RPC) and central government officials. The data covers practices on the national level that apply to all policy areas. \n The data for stakeholder engagement and RIA focus on the processes of developing regulations (both primary and subordinate) that are carried out by the executive branch of the national government, the data for ex post evaluation covers all national regulations \n regardless of whether they were initiated by parliament or the executive. The survey questionnaire has been developed in close co-operation with RPC delegates and members of the OECD Steering Group on Measuring Regulatory Performance. Survey answers underwent a \n verification process carried out by the OECD Secretariat in co-operation with delegates to the RPC in order to enhance data quality and ensure comparability of answers across countries and over time.\n\t
\nResults were presented in the 2015, 2018 and\n 2021 OECD Regulatory Policy Outlook, as well as in the 2023 OECD Government at a Glance publication.\n The data for all EU Member States were presented in the 2019 Better Regulation Practices across the European Union report.\n
\nFollowing the adoption of the OECD Council Recommendation on Public Integrity in 2017, the Public Governance Committee (PGC), via its Working Party of Senior Public Integrity Officials (SPIO) subsidiary body, developed the OECD Public Integrity Indicators (PII) to measure the implementation of the OECD Council Recommendation on Public Integrity. The PII are complementary to the OECD Public Integrity Handbook and the OECD Public Integrity Maturity Models.
The OECD Public Integrity Indicators (PII) measure the quality and effectiveness of public integrity systems across six areas:
The OECD Public Integrity Indicators provide cross-country comparative data to help policy makers and practitioners strengthen the resilience of public integrity systems towards corruption risks and prevent the mismanagement and waste of public funds. The PIIs measure the strength of standard regulatory safeguards (de jure) and implementation of these safeguards in practice (de facto). The OECD Secretariat collaborates closely with national administrations to obtain primary data collected directly from a wide range of actors across the executive, legislative and judiciary branches.
Data is collected for all 38 OECD member states (Australia, Austria, Belgium, Canada, Chile, Colombia, Costa Rica, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea (Republic of), Latvia, Lithuania, Luxembourg, Mexico, the Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Türkiye, the United Kingdom, and the United States), two adherents to the OECD Recommendation on Public Integrity (Argentina and Peru), and one OECD key partner (Brazil).
Data is presented for each area as a set of indicators (listed under “Measure”), which can be further broken down into criteria. Indicator values are calculated by counting the number of criteria fulfilled (based on OECD and other international standards) and expressing as a percentage of the total. Criteria values are binary, with a status of fulfilled represented as a 1 and a status of not fulfilled represented as a 0. Some outcome-level indicators consist of numerical rates calculated based on primary data values, either from administrative data sources (public registries) or surveys.
“Data not available” indicates that no data exists. “Data not provided” represents data that was not provided during the data collection process and “Data pending” represents data that is still being collected and/or assessed. “Not tracking” is used to indicate when administrations do not collate existing data into a central statistical measure.
"}, "structure:Structure": {"Ref": {"@id": "DSD_PII", "@version": "1.4", "@agencyID": "OECD.GOV.PSI", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_ECONOMIC", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=EXP_TRANSPORT", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport economic and social indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs \u00e9conomiques et sociaux des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to the economic and social aspects of transport."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s aux aspects \u00e9conomiques et sociaux du transport."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_ENVIRONMENT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=EMISSION,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport energy and environment indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs \u00e9nerg\u00e9tiques et environnementaux des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to the energy and environment aspects of transport."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s aux aspects \u00e9nerg\u00e9tiques et environnementaux des transports."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_EQUIPMENT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=VEHICLES,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport equipment indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs du mat\u00e9riel des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to transport equipment."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s au mat\u00e9riel de transport."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_INFRASTRUCTURE", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=INFRASTUCTURE,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport infrastructure indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs d'infrastructure des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to transport infrastructure."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s aux infrastructures de transport."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_MEASUREMENT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=FREIGHT,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport activity indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs d'activit\u00e9 des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to transport measurement."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s \u00e0 l'activit\u00e9 des transports."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_SAFETY", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport safety indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs de la s\u00e9curit\u00e9 des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to transport safety."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s \u00e0 la s\u00e9curit\u00e9 des transports."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_TRAFFIC", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=TRAFFIC,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport traffic indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs de trafic de transport"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes performance indicators linked to transport traffic."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend des indicateurs de performance li\u00e9s au trafic de transport."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INDICATORS@DF_TRANSPORTINDICATORS", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,UNIT_MULT=0,PRICE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=FREIGHT,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport performance indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs de performance des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataset includes more than 90 performance indicators related to transport. The indicators cover seven themes: infrastructure, equipment, activity, safety, traffic, economic and social, environment."}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es comprend plus de 90 indicateurs de performance li\u00e9s au transport. Les indicateurs couvrent sept th\u00e9matiques : infrastructures, mat\u00e9riel, activit\u00e9, s\u00e9curit\u00e9, circulation, \u00e9conomique et social, environnement."}], "structure:Structure": {"Ref": {"@id": "DSD_INDICATORS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_INFRINV@DF_INFRINV", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSPORT_MODE,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,OBS_STATUS_2=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "PRICE_BASE=V,UNIT_MEASURE=EUR,MEASURE=INV", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:PRICE_BASE,CURRENCY,UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Transport infrastructure investment and maintenance spending"}, {"@xml:lang": "fr", "#text": "D\u00e9penses d'investissements et entretien pour les infrastructures de transport"}], "common:Description": [{"@xml:lang": "en", "#text": "Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the \"Investment Spending in Transport Infrastructure\". The original data is collected in national currency, current values. Data are converted and published in euros, both current and constant (2015 prices). The variables collected include investment, maintenance spending and capital value of road, rail, inland waterways, maritime ports and airports. Data are published annually on 31 March. Data series start in 1995 and continue until the current year-2, or the most recent available data."}, {"@xml:lang": "fr", "#text": "Les donn\u00e9es sont collect\u00e9es aupr\u00e8s des minist\u00e8res des transports, des bureaux nationaux de statistique et d'autres institutions d\u00e9sign\u00e9es comme source officielle de donn\u00e9es. L'enqu\u00eate utilis\u00e9e pour cet exercice est \u00abD\u00e9penses d'investissement dans les infrastructures de transport\u00bb. Les donn\u00e9es d'origine sont collect\u00e9es en monnaie nationale, valeurs courantes. Les donn\u00e9es sont converties et publi\u00e9es en euros, courants et constants (prix 2015). Les variables collect\u00e9es comprennent l'investissement, les d\u00e9penses d'entretien et la valeur en capital des routes, des chemins de fer, des voies navigables int\u00e9rieures, des ports maritimes et des a\u00e9roports. Les donn\u00e9es sont publi\u00e9es annuellement le 31 mars. Les donn\u00e9es commencent en 1995 et continuent jusqu\u2019\u00e0 l\u2019ann\u00e9e en cours-2, ou jusqu'aux derni\u00e8res donn\u00e9es disponibles."}], "structure:Structure": {"Ref": {"@id": "DSD_INFRINV", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STFAT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z,TRANSPORT_MODE=ROAD,MEASURE=FATALITIES", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Fatalities"}, {"@xml:lang": "fr", "#text": "Personnes tu\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "People killed in road crashes within 30 days the crash occurred."}, {"@xml:lang": "fr", "#text": "Personnes tu\u00e9es sur le coup ou d\u00e9c\u00e9dant dans les 30 jours \u00e0 la suite d\u2019un accident corporel de la route."}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STFREIGHT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Freight transport"}, {"@xml:lang": "fr", "#text": "Transport de merchandises"}], "common:Description": [{"@xml:lang": "en", "#text": "Freight transport by rail, road and inland waterways, split in national and international transport."}, {"@xml:lang": "fr", "#text": "Transport de marchandises par chemin de fer, route et voies navigables int\u00e9rieures, r\u00e9parti en transports nationaux et internationaux."}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STFUEL", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Motor fuel deliveries"}, {"@xml:lang": "fr", "#text": "Livraisons de carburant"}], "common:Description": [{"@xml:lang": "en", "#text": "Petrol and diesel deliveries to the road sector."}, {"@xml:lang": "fr", "#text": "Livraisons d'essence et de diesel au secteur routier."}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STINDICATORS", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Short term transport indicators"}, {"@xml:lang": "fr", "#text": "Statistiques conjoncturelles des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the \"Quarterly Transport Statistics\". Variables collected include rail, road and inland waterways national and international freight transport, rail passenger transport, road motor vehicle traffic, first registrations of brand new passenger cars and road goods vehicles, fuel deliveries and road fatalities. Data are collected with a lag of 2 months and made available at the end of each quarter. Data series start in 1994 and continue until the current quarter-1, or the most recent available data."}, {"@xml:lang": "fr", "#text": "Les donn\u00e9es sont collect\u00e9es aupr\u00e8s des minist\u00e8res des transports, des bureaux nationaux de statistique et d'autres institutions d\u00e9sign\u00e9es comme source officielle de donn\u00e9es. L'enqu\u00eate utilis\u00e9e pour cet exercice est \u00abStatistiques trimestrielles des transports\u00bb. Les variables collect\u00e9es comprennent le transport ferroviaire, routier et par voie navigable int\u00e9rieure national et international de marchandises, le transport ferroviare de voyageurs, la circulation routi\u00e8re, les premi\u00e8res immatriculations des voitures particuli\u00e8res et des v\u00e9hicules routieres pour le transport de marchandises, les livraisons de carburant et le nombre de tu\u00e9es sur la route. Les donn\u00e9es sont collect\u00e9es avec un d\u00e9calage de 2 mois et mises \u00e0 disposition \u00e0 la fin de chaque trimestre. Les donn\u00e9es commencent en 1994 et continuent jusqu\u2019au trimestre en cours-1, ou jusqu'aux derni\u00e8res donn\u00e9es disponibles."}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STPASS", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z,TRANSPORT_MODE=RAIL,MEASURE=PASSENGER", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,TRANSPORT_MODE=RAIL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Passenger transport"}, {"@xml:lang": "fr", "#text": "Transport de voyageurs"}], "common:Description": [{"@xml:lang": "en", "#text": "Passenger transport by rail."}, {"@xml:lang": "fr", "#text": "Transport de voyageurs par chemin de fer."}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STREG", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "First registrations of brand new vehicles"}, {"@xml:lang": "fr", "#text": "Premi\u00e8res immatriculations des v\u00e9hicules"}], "common:Description": [{"@xml:lang": "en", "#text": "Number of new passenger cars and goods road motor vehicles registered for the first time."}, {"@xml:lang": "fr", "#text": "Nombre de voitures particuli\u00e8res et de v\u00e9hicules routiers automobiles pour le transport de merchandises neufs immatricul\u00e9s pour la premi\u00e8re fois."}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ST@DF_STTRAFFIC", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS2", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z,MEASURE=TRAFFIC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Road motor vehicle traffic"}, {"@xml:lang": "fr", "#text": "Circulation routi\u00e8re"}], "common:Description": [{"@xml:lang": "en", "#text": "Movement of road motor vehicles on a given road network."}, {"@xml:lang": "fr", "#text": "Tout mouvement d\u2019un v\u00e9hicule routier \u00e0 moteur sur un r\u00e9seau routier donn\u00e9"}], "structure:Structure": {"Ref": {"@id": "DSD_ST", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TRENDS@DF_TRENDS", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual transport trends"}, {"@xml:lang": "fr", "#text": "Tendances annuelles des transports"}], "common:Description": [{"@xml:lang": "en", "#text": "Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the \"Trends in the Transport Sector\". Variables collected include inland transport of goods and passengers, as well as road injury crashes. Additional information is also gathered on containers transported by rail and sea as well as short sea shipping. Data are published annually on 31 October. Data series start in 1970 and continue until the current year-1, or the most recent available data."}, {"@xml:lang": "fr", "#text": "Les donn\u00e9es sont collect\u00e9es aupr\u00e8s des minist\u00e8res des transports, des bureaux nationaux de statistique et d'autres institutions d\u00e9sign\u00e9es comme source officielle de donn\u00e9es. L'enqu\u00eate utilis\u00e9e pour cet exercice est \u00abTendances dans le secteur des transports\u00bb. Les variables collect\u00e9es comprennent le transport int\u00e9rieur de marchandises et de voyageurs, ainsi que les accidents corporels routiers. Les donn\u00e9es comprennent aussi des informations sur les conteneurs transport\u00e9s par chemin de fer ou par la mer et sur le cabotage. Les donn\u00e9es sont publi\u00e9es annuellement le 31 octobre. Les donn\u00e9es commencent en 1970 et continuent jusqu\u2019\u00e0 l\u2019ann\u00e9e en cours-1, ou jusqu'aux derni\u00e8res donn\u00e9es disponibles."}], "structure:Structure": {"Ref": {"@id": "DSD_TRENDS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TRENDS@DF_TRENDSCONT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual container transport"}, {"@xml:lang": "fr", "#text": "Transport annuelles des conteneurs"}], "common:Description": [{"@xml:lang": "en", "#text": "Container transport by rail and sea."}, {"@xml:lang": "fr", "#text": "Transport de conteneur par chemin de fer et maritime."}], "structure:Structure": {"Ref": {"@id": "DSD_TRENDS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TRENDS@DF_TRENDSFREIGHT", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual freight transport"}, {"@xml:lang": "fr", "#text": "Transport annuelles des marchandises"}], "common:Description": [{"@xml:lang": "en", "#text": "Freight transport by rail, road, inland waterways and pipeline."}, {"@xml:lang": "fr", "#text": "Transport de marchandises par chemin de fer, route, voies navigables int\u00e9rieures et pipeline."}], "structure:Structure": {"Ref": {"@id": "DSD_TRENDS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TRENDS@DF_TRENDSINFR", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual length of inland transport infrastructure"}, {"@xml:lang": "fr", "#text": "Longueur des infrastructures de transport int\u00e9rieur"}], "common:Description": [{"@xml:lang": "en", "#text": "Length of rail lines, road network and navigable inland waterways."}, {"@xml:lang": "fr", "#text": "Longeur de voie de transport ferroviaire, du reseau routier et des voies navigables int\u00e9rieurs"}], "structure:Structure": {"Ref": {"@id": "DSD_TRENDS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TRENDS@DF_TRENDSPASS", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual passenger transport"}, {"@xml:lang": "fr", "#text": "Transport annuelles des passagers"}], "common:Description": [{"@xml:lang": "en", "#text": "Passenger transport by rail and road."}, {"@xml:lang": "fr", "#text": "Transport de voyageurs par chemin de feret route."}], "structure:Structure": {"Ref": {"@id": "DSD_TRENDS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TRENDS@DF_TRENDSSAFETY", "@agencyID": "OECD.ITF", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMBINED_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSPORT_MODE=ROAD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE\\", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "11000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual road fatalities, injured, injury crashes"}, {"@xml:lang": "fr", "#text": "Victimes annuelles des et accidents corporels de la route"}], "common:Description": [{"@xml:lang": "en", "#text": "People killed in road crashes within 30 days the crash occurred, people injured in road crashes, and road injury crashes."}, {"@xml:lang": "fr", "#text": "Personnes tu\u00e9es sur le coup ou d\u00e9c\u00e9dant dans les 30 jours \u00e0 la suite d\u2019un accident corporel de la route, personnes blese\u00e9es sur la route, et accidents corporels de la route."}], "structure:Structure": {"Ref": {"@id": "DSD_TRENDS", "@version": "1.0", "@agencyID": "OECD.ITF", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_EGDNA_CONS_HHT@DF_CONS_HHT", "@agencyID": "OECD.SDD.NAD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSACTION,EXPENDITURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "HOUSEHOLD_TYPE,INCOME_GROUP", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "DECIMAL", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE,INCOME_GROUP,SEX,LABOUR_MARKET_STATUS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC,MAIN_INCOME_SOURCE=_Z", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "TRANSACTION:OECD.SDD.NAD:HCL_TRANSACT_CONSUMP_EGDNA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "HOUSEHOLD_GROUPS:Household groups"}, {"@xml:lang": "fr", "#text": "HOUSEHOLD_GROUPS:Household groups"}]}, {"common:AnnotationTitle": "V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_CONS_INC@DF_CONS_INC,DSD_EGDNA_CONS_HHT@DF_CONS_HHT,DSD_EGDNA_CONS_MSI@DF_CONS_MSI/latest", "common:AnnotationType": "RELATED_DATA"}]}, "common:Name": {"@xml:lang": "en", "#text": "Household consumption in the National Accounts: distributions by household type"}, "common:Description": {"@xml:lang": "en", "#text": "This table presents household consumption from the national accounts broken down by household type. It includes final consumption expenditure and actual individual consumption. Final consumption expenditure concerns the amount that households actually spend on consumption goods and services such as food, clothing, housing, transport, health care and education. Actual individual consumption includes not only households\u2019 total final consumption expenditure but also their consumption of social transfers in kind, which are goods and services (such as health care, education, housing and childcare) that are provided by government and non-profit institutions for free or at subsidised rates, so they are not fully paid for by households themselves.| Industries | Households | Changes in inventories | Exports | Environment | Total | |
|---|---|---|---|---|---|---|
| Energy from natural inputs | Extraction of energy from natural inputs | Total use of energy from natural inputs | ||||
| Energy products | Intermediate consumption | Household consumption | Changes in inventories | Exports | Total use of energy products | |
| Energy residuals | Collection and treatment of residuals | Accumulation of residuals | Exported residuals | Residual flows direct to environment | Total use of energy residuals |
| Industries | Households | Changes in inventories | Exports | Environment | Total | |
|---|---|---|---|---|---|---|
| Energy from natural inputs | Extraction of energy from natural inputs | Total use of energy from natural inputs | ||||
| Energy products | Intermediate consumption | Household consumption | Changes in inventories | Exports | Total use of energy products | |
| Energy residuals | Collection and treatment of residuals | Accumulation of residuals | Exported residuals | Residual flows direct to environment | Total use of energy residuals |
| Industries | Households | Changes in inventories | Imports | Environment | Total | |
|---|---|---|---|---|---|---|
| Energy from natural inputs | Energy inputs from the environment | Total supply of energy from natural inputs | ||||
| Energy products | Output | Imports | Total supply of energy products | |||
| Energy residuals | Residuals generated by industry | Residuals generated by household consumption | Residuals from accumulation | Imported residuals | Residuals recovered from the environment | Total supply of energy residuals |
| Industries | Households | Changes in inventories | Imports | Environment | Total | |
|---|---|---|---|---|---|---|
| Energy from natural inputs | Energy inputs from the environment | Total supply of energy from natural inputs | ||||
| Energy products | Output | Imports | Total supply of energy products | |||
| Energy residuals | Residuals generated by industry | Residuals generated by household consumption | Residuals from accumulation | Imported residuals | Residuals recovered from the environment | Total supply of energy residuals |
| Industries | Households | Changes in inventories | Exports | Environment | Total | |
|---|---|---|---|---|---|---|
| Energy from natural inputs | Extraction of energy from natural inputs | Total use of energy from natural inputs | ||||
| Energy products | Intermediate consumption | Household consumption | Changes in inventories | Exports | Total use of energy products | |
| Energy residuals | Collection and treatment of residuals | Accumulation of residuals | Exported residuals | Residual flows direct to environment | Total use of energy residuals |
| Industries | Households | Changes in inventories | Exports | Environment | Total | |
|---|---|---|---|---|---|---|
| Energy from natural inputs | Extraction of energy from natural inputs | Total use of energy from natural inputs | ||||
| Energy products | Intermediate consumption | Household consumption | Changes in inventories | Exports | Total use of energy products | |
| Energy residuals | Collection and treatment of residuals | Accumulation of residuals | Exported residuals | Residual flows direct to environment | Total use of energy residuals |
The methodology followed to build the dataset is detailed in the accompanying paper
The dataset is also available for bulk download, with its corresponding explanatory file (see related files)
Click here to access the dedicated webpage to OECD Balanced Trade Statistics"}, "structure:Structure": {"Ref": {"@id": "DSD_DD_HCL", "@version": "1.0", "@agencyID": "OECD.SDD.SDPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_KEI@DF_KEI", "@agencyID": "OECD.SDD.STES", "@version": "4.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,ACTIVITY=_Z,TRANSFORMATION=_Z,ADJUSTMENT=_Z,UNIT_MEASURE=GR", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,MEASURE=PRVM,UNIT_MEASURE=IX,ACTIVITY=BTE", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT,TRANSFORMATION,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Key short-term economic indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs \u00e9conomiques cl\u00e9s \u00e0 court-terme"}], "common:Description": [{"@xml:lang": "en", "#text": "The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
The \u201cEmployment by activites and status (ALFS)\u201d dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).
This dataset contains employment statistics broken down by economic activities as defined by the ISIC Rev. 4 classification and by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers. It also shows the number of employees broken down by economic activities (ISIC Rev. 4).
Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries\u2019 data.
The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week.
Data are presented in thousands of persons, or as indices with base year 2015=100.
Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.
Historical data of employment statistics defined according to ISIC Rev. 2 are also available from 1970 to 2014
Historical data of employment statistics defined according to ISIC Rev. 3 are available from 1983 to 2023. Data for Canada are currently only available in ISIC Rev. 3
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es \"Emploi par activit\u00e9 et situation profesionnelle (ALFS)\" est un sous-ensemble de la base de donn\u00e9es des \"Statistiques annuelles sur la population active\" qui pr\u00e9sente ces statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Br\u00e9sil et 4 zones g\u00e9ographiques (G7, Zone euro, Union europ\u00e9enne et OCDE-Total).
Cet ensemble de donn\u00e9es contient des statistiques sur l'emploi ventil\u00e9es par activit\u00e9s \u00e9conomiques telles que d\u00e9finies par la classification CITI R\u00e9v. 4 et par situations professionnelles telles que d\u00e9finis par la CISP-1993, incluant les salari\u00e9s, les employeurs et les travailleurs pour leur propre compte, ainsi que les travailleurs familiaux non r\u00e9mun\u00e9r\u00e9s. Il montre \u00e9galement le nombre de salari\u00e9s ventil\u00e9s par activit\u00e9s \u00e9conomiques (CITI R\u00e9v. 4).
Les activit\u00e9s \u00e9conomiques sont d\u00e9finies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activit\u00e9s \u00e9conomiques (CITI) R\u00e9v. 4, \u00e0 l'exception des \u00c9tats-Unis qui compilent, depuis 2003, des donn\u00e9es sur l'emploi par secteur selon le Syst\u00e8me de classification des industries de l'Am\u00e9rique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approxim\u00e9s avec la CITI R\u00e9v. 4 et ne sont donc pas strictement comparables avec les donn\u00e9es des autres pays.
Le statut professionnel est d\u00e9fini dans la Classification internationale d\u2019apr\u00e8s la situation dans la profession (CISP-1993). Pour \u00eatre consid\u00e9r\u00e9 comme travailleur familial non r\u00e9mun\u00e9r\u00e9, le seuil horaire varie d'une heure \u00e0 18 heures par semaine.
Les donn\u00e9es sont pr\u00e9sent\u00e9es en milliers de personnes ou sous forme d'indices avec une ann\u00e9e de base 2015=100.
Les donn\u00e9es annuelles de cet ensemble de donn\u00e9es sont g\u00e9n\u00e9ralement calcul\u00e9es comme des moyennes d'estimations infra-annuelles. Cela peut entra\u00eener des diff\u00e9rences avec les donn\u00e9es annuelles publi\u00e9es par les instituts nationaux de statistiques.
Les donn\u00e9es historiques des statistiques de l'emploi d\u00e9finies selon CITI R\u00e9v. 2 sont \u00e9galemnt disponibles de 1970 \u00e0 2014
Les donn\u00e9es historiques des statistiques de l'emploi d\u00e9finies selon CITI R\u00e9v. 3 sont \u00e9galement disponibles de 1983 \u00e0 2023. Les donn\u00e9es pour le Canada ne sont actuellement disponibles que dans la CITI R\u00e9v. 3
"}], "structure:Structure": {"Ref": {"@id": "DSD_ALFS", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ALFS@DF_ALFS_EMP_EES", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA, ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,LASTNPERIODS=5,MEASURE=EMP,ACTIVITY=ATU+BTF+C,AGE=Y_GE15,AGE=Y_GE15,SEX=_T,TRANSFORMATION=N,WORKER_STATUS=ICSE93_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Number of employees by activities (ISIC Rev. 4)"}, {"@xml:lang": "fr", "#text": "Nombre d'employ\u00e9s par activit\u00e9 (ISIC Rev. 4)"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataflow \"Number of employees by activities (ISIC Rev. 4)\" is a subset of the \u201cEmployment by activites and status (ALFS)\u201d dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).
This dataflow shows the number of employees broken down by economic activities (ISIC Rev. 4).
Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries\u2019 data.
The professional status is defined in the International Classification by status in Employment (ICSE-1993).
Data are presented in thousands of persons, or as indices with base year 2015=100.
Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.
Historical data of employment statistics defined according to ISIC Rev. 2 are also available from 1970 to 2014
Historical data of employment statistics defined according to ISIC Rev. 3 are available from 1983 to 2023. Data for Canada are currently only available in ISIC Rev. 3
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es \"Nombre d'employ\u00e9s par activit\u00e9 (CITI Rev. 4)\" est un sous-ensemble de l'ensemble de donn\u00e9es \"Emploi par activit\u00e9 et situation profesionnelle (ALFS)\" qui pr\u00e9sente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Br\u00e9sil et 4 zones g\u00e9ographiques (G7, Zone euro, Union europ\u00e9enne et OCDE-Total).
Cet ensemble de donn\u00e9es montre le nombre de salari\u00e9s ventil\u00e9s par activit\u00e9s \u00e9conomiques (CITI R\u00e9v. 4).
Les activit\u00e9s \u00e9conomiques sont d\u00e9finies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activit\u00e9s \u00e9conomiques (CITI) R\u00e9v. 4, \u00e0 l'exception des \u00c9tats-Unis qui compilent, depuis 2003, des donn\u00e9es sur l'emploi par secteur selon le Syst\u00e8me de classification des industries de l'Am\u00e9rique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approxim\u00e9s avec la CITI R\u00e9v. 4 et ne sont donc pas strictement comparables avec les donn\u00e9es des autres pays.
Le statut professionnel est d\u00e9fini dans la Classification internationale d\u2019apr\u00e8s la situation dans la profession (CISP-1993). Pour \u00eatre consid\u00e9r\u00e9 comme travailleur familial non r\u00e9mun\u00e9r\u00e9, le seuil horaire varie d'une heure \u00e0 18 heures par semaine.
Les donn\u00e9es sont pr\u00e9sent\u00e9es en milliers de personnes ou sous forme d'indices avec une ann\u00e9e de base 2015=100.
Les donn\u00e9es annuelles de cet ensemble de donn\u00e9es sont g\u00e9n\u00e9ralement calcul\u00e9es comme des moyennes d'estimations infra-annuelles. Cela peut entra\u00eener des diff\u00e9rences avec les donn\u00e9es annuelles publi\u00e9es par les instituts nationaux de statistiques.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ALFS", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ALFS@DF_ALFS_EMP_ICSE93", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "WORKER_STATUS", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA, WORKER_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,LASTNPERIODS=5,MEASURE=EMP,ACTIVITY=_T,AGE=Y_GE15,SEX=_T,TRANSFORMATION=N,WORKER_STATUS=_T+ICSE93_1+ICSE93_2T3+ICSE93_5", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment by professional status (ICSE-93)"}, {"@xml:lang": "fr", "#text": "Emploi par situation profesionnelle (CISP-93)"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataflow \"Employment by profesional status (ICSE-93)\" is a subset of the \u201cEmployment by activites and status (ALFS)\u201d dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).
This dataflow contains employment statistics for all economic activities broken down by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers.
Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries\u2019 data.
The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week.
Data are presented in thousands of persons, or as indices with base year 2015=100.
Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es \"Emploi par situation profesionnelle (CISP-1993)\" est un sous-ensemble de l'ensemble de donn\u00e9es \"Emploi par activit\u00e9 et situation profesionnelle (ALFS)\" qui pr\u00e9sente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Br\u00e9sil et 4 zones g\u00e9ographiques (G7, Zone euro, Union europ\u00e9enne et OCDE-Total).
Cet ensemble de donn\u00e9es contient des statistiques sur l'emploi dans toutes les branches d'activit\u00e9s ventil\u00e9es par situations professionnelles telles que d\u00e9finis par la CISP-1993, incluant les salari\u00e9s, les employeurs et les travailleurs pour leur propre compte, ainsi que les travailleurs familiaux non r\u00e9mun\u00e9r\u00e9s.
Les activit\u00e9s \u00e9conomiques sont d\u00e9finies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activit\u00e9s \u00e9conomiques (CITI) R\u00e9v. 4, \u00e0 l'exception des \u00c9tats-Unis qui compilent, depuis 2003, des donn\u00e9es sur l'emploi par secteur selon le Syst\u00e8me de classification des industries de l'Am\u00e9rique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approxim\u00e9s avec la CITI R\u00e9v. 4 et ne sont donc pas strictement comparables avec les donn\u00e9es des autres pays.
Le statut professionnel est d\u00e9fini dans la Classification internationale d\u2019apr\u00e8s la situation dans la profession (CISP-1993). Pour \u00eatre consid\u00e9r\u00e9 comme travailleur familial non r\u00e9mun\u00e9r\u00e9, le seuil horaire varie d'une heure \u00e0 18 heures par semaine.
Les donn\u00e9es sont pr\u00e9sent\u00e9es en milliers de personnes ou sous forme d'indices avec une ann\u00e9e de base 2015=100.
Les donn\u00e9es annuelles de cet ensemble de donn\u00e9es sont g\u00e9n\u00e9ralement calcul\u00e9es comme des moyennes d'estimations infra-annuelles. Cela peut entra\u00eener des diff\u00e9rences avec les donn\u00e9es annuelles publi\u00e9es par les instituts nationaux de statistiques.
Les donn\u00e9es historiques des statistiques de l'emploi d\u00e9finies selon CITI R\u00e9v. 2 sont \u00e9galemnt disponibles de 1970 \u00e0 2014
Les donn\u00e9es historiques des statistiques de l'emploi d\u00e9finies selon CITI R\u00e9v. 3 sont \u00e9galement disponibles de 1983 \u00e0 2023. Les donn\u00e9es pour le Canada ne sont actuellement disponibles que dans la CITI R\u00e9v. 3
"}], "structure:Structure": {"Ref": {"@id": "DSD_ALFS", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ALFS@DF_ALFS_EMP_ISIC", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,LASTNPERIODS=5,MEASURE=EMP,ACTIVITY=ATU+BTF+C,AGE=Y_GE15,SEX=_T,TRANSFORMATION=N,WORKER_STATUS=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment by activities (ISIC Rev. 4)"}, {"@xml:lang": "fr", "#text": "Emploi par activit\u00e9 (ISIC Rev. 4)"}], "common:Description": [{"@xml:lang": "en", "#text": "The dataflow \"Employment by activities (ISIC Rev.4)\" is a subset of the \u201cEmployment by activites and status (ALFS)\u201d dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).
This dataflow contains employment statistics broken down by economic activities as defined by the ISIC Rev. 4 classification and by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers.
Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries\u2019 data.
The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week.
Data are presented in thousands of persons, or as indices with base year 2015=100.
Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.
Historical data of employment statistics defined according to ISIC Rev. 2 are also available from 1970 to 2014
Historical data of employment statistics defined according to ISIC Rev. 3 are available from 1983 to 2023. Data for Canada are currently only available in ISIC Rev. 3
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es \"Emploi par activit\u00e9 (CITI R\u00e9v. 4)\" est un sous-ensemble de l'ensemble de donn\u00e9es \"Emploi par activit\u00e9 et situation profesionnelle (ALFS)\" qui pr\u00e9sente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Br\u00e9sil et 4 zones g\u00e9ographiques (G7, Zone euro, Union europ\u00e9enne et OCDE-Total).
Cet ensemble de donn\u00e9es contient des statistiques sur l'emploi ventil\u00e9es par activit\u00e9s \u00e9conomiques telles que d\u00e9finies par la classification CITI R\u00e9v. 4 et par situations professionnelles telles que d\u00e9finis par la CISP-1993, incluant les salari\u00e9s, les employeurs et les travailleurs pour leur propre compte, ainsi que les travailleurs familiaux non r\u00e9mun\u00e9r\u00e9s.
Les activit\u00e9s \u00e9conomiques sont d\u00e9finies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activit\u00e9s \u00e9conomiques (CITI) R\u00e9v. 4, \u00e0 l'exception des \u00c9tats-Unis qui compilent, depuis 2003, des donn\u00e9es sur l'emploi par secteur selon le Syst\u00e8me de classification des industries de l'Am\u00e9rique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approxim\u00e9s avec la CITI R\u00e9v. 4 et ne sont donc pas strictement comparables avec les donn\u00e9es des autres pays.
Le statut professionnel est d\u00e9fini dans la Classification internationale d\u2019apr\u00e8s la situation dans la profession (CISP-1993). Pour \u00eatre consid\u00e9r\u00e9 comme travailleur familial non r\u00e9mun\u00e9r\u00e9, le seuil horaire varie d'une heure \u00e0 18 heures par semaine.
Les donn\u00e9es sont pr\u00e9sent\u00e9es en milliers de personnes ou sous forme d'indices avec une ann\u00e9e de base 2015=100.
Les donn\u00e9es annuelles de cet ensemble de donn\u00e9es sont g\u00e9n\u00e9ralement calcul\u00e9es comme des moyennes d'estimations infra-annuelles. Cela peut entra\u00eener des diff\u00e9rences avec les donn\u00e9es annuelles publi\u00e9es par les instituts nationaux de statistiques.
Les donn\u00e9es historiques des statistiques de l'emploi d\u00e9finies selon CITI R\u00e9v. 2 sont \u00e9galemnt disponibles de 1970 \u00e0 2014
Les donn\u00e9es historiques des statistiques de l'emploi d\u00e9finies selon CITI R\u00e9v. 3 sont \u00e9galement disponibles de 1983 \u00e0 2023. Les donn\u00e9es pour le Canada ne sont actuellement disponibles que dans la CITI R\u00e9v. 3
"}], "structure:Structure": {"Ref": {"@id": "DSD_ALFS", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ALFS@DF_SUMTAB", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,LASTNPERIODS=13,MEASURE=LF,AGE=Y15T64,SEX=_T,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Annual labour force survey, summary tables"}, {"@xml:lang": "fr", "#text": "Enqu\u00eate annuelle sur la force de travail, tableaux synth\u00e9tiques"}], "common:Description": [{"@xml:lang": "en", "#text": "The \u201cALFS Summary tables\u201d dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).
Data are presented in thousands of persons, in percentage or as indices with base year 2015=100.
Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.
This dataset contains estimates from the OECD for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time.
Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries\u2019 data.
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es \"ALFS Tableaux synth\u00e8tiques\" est un sous-ensemble de la base de donn\u00e9es \"Enqu\u00eate annuelle sur la population active\" qui pr\u00e9sente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Br\u00e9sil et 4 zones g\u00e9ographiques (groupe des 7 grands, zone euro, Union Europ\u00e8enne et OECD).
Les donn\u00e9es sont pr\u00e9sent\u00e9es en milliers de personnes, en pourcentage ou sous forme d'indices avec 2015 pour ann\u00e9e de base.
Les donn\u00e9es annuelles de cet ensemble de donn\u00e9es sont g\u00e9n\u00e9ralement calcul\u00e9es comme des moyennes des estimations infra-annuelles. Cela peut entra\u00eener des diff\u00e9rences avec les donn\u00e9es annuelles publi\u00e9es par les instituts nationaux de statistique.
Cet ensemble de donn\u00e9es contient des estimations de l'OCDE pour les derni\u00e8res ann\u00e9es o\u00f9 les pays n'ont pas fourni de donn\u00e9es. Ces estimations sont n\u00e9cessaires pour compiler des statistiques agr\u00e9g\u00e9es pour les zones g\u00e9ographiques sur une p\u00e9riode compl\u00e8te.
Depuis 2003, les donn\u00e9es sur l'emploi par secteur pour les \u00c9tats-Unis sont calcul\u00e9es selon le Syst\u00e8me de classification des industries de l'Am\u00e9rique du Nord (SCIAN) ; elles ne sont donc pas strictement comparables avec les donn\u00e9es d'autres pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_ALFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BATIS@DF_BATIS", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,ADJUSTMENT", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"common:AnnotationTitle": "METHODOLOGY_TYPE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA=WXOECD,TYPE_PRODUCT=S,CURRENCY=USD,FREQ=A,DECIMALS=2,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,TYPE_PRODUCT=S,TRADE_FLOW=X,SERVICE=S,UNIT_MEASURE=USD_EXC,TIME_PERIOD_START=2020", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "Bulk download - all data (438 MB)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc36ebab-e1ad-4e6b-88a2-ebb2476cfc78"}, {"@xml:lang": "fr", "#text": "T\u00e9l\u00e9chargement en masse - toutes les donn\u00e9es (438 MB)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc36ebab-e1ad-4e6b-88a2-ebb2476cfc78"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Balanced trade in services (BaTIS)"}, {"@xml:lang": "fr", "#text": "Echanges \u00e9quilibr\u00e9s de services (BaTIS)"}], "common:Description": [{"@xml:lang": "fr", "#text": "La base de donn\u00e9es \u00c9quilibr\u00e9es sur le Commerce des Services (BaTIS) de l'OCDE et de l'OMC est une matrice compl\u00e8te, coh\u00e9rente et \u00e9quilibr\u00e9e des statistiques du commerce international des services (ITSS). Elle contient des donn\u00e9es bilat\u00e9rales annuelles couvrant 202 pays d\u00e9clarants et pays partenaires, ventil\u00e9es selon le total des services ainsi que 26 cat\u00e9gories EBOPS 2010 (BPM6) de 2005 \u00e0 2023. BaTIS est le r\u00e9sultat des efforts conjoints de l'OCDE et de l'OMC. Deux caract\u00e9ristiques principales permettent \u00e0 BaTIS de s\u2019imposer comme la r\u00e9f\u00e9rence internationale pour toute analyse sur le commerce international des services :
Batis fournit trois mesures pour chaque flux commercial (sous la dimension \u2018ajustement\u2019):
\nLes informations officielles sur les flux commerciaux bilat\u00e9raux ont \u00e9t\u00e9 collect\u00e9es aupr\u00e8s de l'OCDE, d'Eurostat, de sources nationales ainsi que de l'UNSD. Le jeu de donn\u00e9es sur le commerce des services OMC-CNUCED, bas\u00e9 sur un certain nombre de sources primaires compl\u00e9t\u00e9es par des estimations, \u00e9tait la principale source de donn\u00e9es avec le partenaire monde.
La base de donn\u00e9es BaTIS peut \u00eatre utilis\u00e9e comme une entr\u00e9e autonome pour l'analyse \u00e9conomique et l'\u00e9laboration de politiques. De plus, les donn\u00e9es \u00e9quilibr\u00e9es sur le commerce des services constituent une entr\u00e9e essentielle \u00e0 l'initiative de l'OCDE sur le Commerce en Valeur Ajout\u00e9e (TiVA), pour laquelle une vision \u00e9quilibr\u00e9e du commerce international est cruciale. BaTIS est destin\u00e9 \u00e0 \u00eatre r\u00e9guli\u00e8rement mis \u00e0 jour et constamment am\u00e9lior\u00e9 \u00e0 mesure que de nouvelles donn\u00e9es deviennent disponibles.
Pour plus d'informations sur la m\u00e9thodologie, veuillez-vous r\u00e9f\u00e9rer au document technique accompagnant cette base de donn\u00e9es L'OCDE-OMC Commerce \u00c9quilibr\u00e9 des Services (BaTIS)
\nPour plus d'informations sur les statistiques du commerce \u00e9quilibr\u00e9, veuillez consulter la page de l'OCDE sur le sujet (uniquement disponible en anglais) Statistiques du commerce \u00e9quilibr\u00e9
\nLes utilisateurs sont encourag\u00e9s \u00e0 envoyer leurs questions, ou \u00e0 signaler toute erreur apparente, concernant cette base de donn\u00e9es \u00e0 STAT.Contact@oecd.org
\n"}, {"@xml:lang": "en", "#text": "The OECD-WTO Balanced Trade in Services (BaTIS) dataset is a complete, consistent, and balanced matrix of international trade in services statistics (ITSS). It contains annual bilateral data covering 202 reporters and partners, broken down by total services and 26 EBOPS 2010 (BPM6) categories from 2005 to 2023. BaTIS is the result of joint efforts by the OECD and WTO. Two main features enable BaTIS to stand out as the international benchmark for any analysis on international trade in services:
\nBatis provides three measures for each trade flow (under the \u2018adjustment\u2019 dimension):
\nOfficial information on bilateral trade flows was collected from OECD, Eurostat, national sources as well as UNSD. The WTO-UNCTAD trade in services dataset, based on a number of primary sources complemented with estimations, was the main source for data with partner world.
\nThe BaTIS dataset can be used as a stand-alone input for economic analysis and policy-making. In addition, balanced trade in services data form an essential input to the OECD Trade in Value Added (TiVA) initiative, for which a balanced view of international trade is crucial. BaTIS is intended to be regularly updated and constantly improved as new data become available.
\nFor more information on the methodology, please refer to the technical paper accompanying this dataset The OECD-WTO Balanced Trade in Services (BaTIS)
\nFor more information on balanced trade statistics, please go to the topic related OECD page Balanced trade statistics
\nUsers are encouraged to send their questions, or to signal any apparent errors, regarding this database to STAT.Contact@oecd.org
\n"}], "structure:Structure": {"Ref": {"@id": "DSD_BATIS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BOP@DF_BOP", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACCOUNTING_ENTRY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA,CURRENCY=_Z,UNIT_MULT=0,DECIMALS,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=USA,FREQ=Q,UNIT_MEASURE=XDC,ADJUSTMENT=Y", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,CURRENCY,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACCOUNTING_ENTRY:OECD.SDD.TPS:HCL_ACCOUNTING_ENTRY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Balance des paiements"}, {"@xml:lang": "en", "#text": "Balance of payments"}], "common:Description": [{"@xml:lang": "fr", "#text": "La balance des paiements est un état statistique qui fournit un résumé systématique des transactions économiques d'une économie avec le reste du monde, pour une période donnée. Les transactions se font pour la plupart entre résidents et non-résidents de l'économie. Une transaction est définie comme un flux économique qui reflète la création, la transformation, l'échange, le transfert ou l'extinction d'une valeur économique et implique des changements de propriété, de biens ou d'actifs, de prestation de services, de travail ou de capital.Cet ensemble de données présente les économies qui établissent des statistiques de balance des paiements conformément à la 6e édition du Manuel de la balance des paiements et de la position extérieure globale publié par le FMI (MBP6). Les transactions comprennent : les comptes de biens et services, le compte de revenu primaire (compte de revenu dans le MBP5), le compte de revenu secondaire (transferts dans le MBP5), le compte de capital et le compte financier.
Toutes les économies diffusées ici produisent des balances des paiements selon le BPM6, ce qui permet une forte comparabilité entre les pays. En tant que tel, l'objectif principal de cet ensemble de données est de fournir des statistiques trimestrielles agrégées de la balance des paiements pertinentes, fiables, cohérentes, comparables et opportunes à des fins analytiques. Néanmoins, il existe quelques écarts par rapport aux définitions standard qui sont indiqués dans les notes (voir « i » attaché aux séries).
Dans le compte financier, pour la valeur nette, un signe positif indique un flux net de l'économie nationale vers le reste du monde (un prêt au reste du monde) et un signe négatif, un flux net du reste du monde vers l'économie nationale (c'est-à-dire un emprunt net au reste du monde). Au niveau des sous-postes (investissements à l'étranger, investissements dans l'économie déclarante, etc.), un signe positif indique une augmentation du sous-poste considéré et un signe négatif une diminution. Ces conventions sont imposées par le MBP6.
Le flux de données couvre : tous les pays membres de l'OCDE, les économies du G20 et une sélection d'économies non membres.
L'unité monétaire utilisée pour toutes les séries est :
Millions de dollars US ou Millions de monnaie nationale.
Contact pour les statistiques de l'OCDE : stat.contact@oecd.org
http://www.oecd.org/sdd"}, {"@xml:lang": "en", "#text": "The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.
This dataset presents economies compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account.
All economies disseminated here produce balance of payments according to BPM6; providing strong cross-country comparability.
As such the main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely aggregate quarterly balance of payments statistics for analytical purposes. Nevertheless there are some deviations from standard definitions that are indicated in notes (see « i » attached to series).
In the financial account, for net value, a positive sign indicates a net flow from the domestic economy to the rest of the world (a lending to the rest of the world) and a negative sign, a net flow from the rest of the world to the domestic economy (i.e. a net borrowing from the rest of the world). At the level of the sub items (investment abroad investment in the reporting economy etc.), a positive sign indicates an increase of the sub item under consideration and a negative sign a decrease. These conventions are imposed by the BPM6.
The dataflow covers : all OECD member countries, G20 economies and a selection of non-member economies.
The currency unit used for all series is:
Millions of US dollars or Millions of National Currency.
OECD statistics contact: stat.contact@oecd.org
http://www.oecd.org/sdd"}], "structure:Structure": {"Ref": {"@id": "DSD_BOP", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BOP@DF_IIP", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,FS_ENTRY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,ACCOUNTING_ENTRY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA,CURRENCY=_Z,ADJUSTMENT,DECIMALS,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=FRA,FREQ=Q,UNIT_MEASURE=XDC,TIME_PERIOD_START=2022", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACCOUNTING_ENTRY:OECD.SDD.TPS:HCL_ACCOUNTING_ENTRY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "International investment position"}, {"@xml:lang": "fr", "#text": "Position ext\u00e9rieure globale"}], "common:Description": [{"@xml:lang": "fr", "#text": "La position extérieure globale (PEG) est un état statistique qui fournit un résumé systématique de la valeur cumulée des actifs financiers d'une économie dans d'autres pays et de ses engagements envers les résidents d'autres pays à la fin d'une période spécifique. La différence entre les actifs et les passifs constitue la position extérieure nette et représente soit une créance nette sur le reste du monde, soit un engagement net à son égard. Les données sont présentées par catégories d'investissement, telles que les investissements directs, les investissements de portefeuille et les avoirs de réserve, chacune d'entre elles étant plus détaillée. Comprendre les types d'investissements détenus par des propriétaires étrangers peut nous éclairer sur la vulnérabilité d'une économie aux changements des conditions du marché extérieur.
Cet ensemble de données présente les économies qui compilent des statistiques sur la position extérieure globale conformément à la 6e édition du Manuel de la balance des paiements et de la position extérieure globale publié par le FMI (MBP6), ce qui permet une forte comparabilité entre les pays.En tant que tel, l'objectif principal de cet ensemble de données est de fournir des statistiques trimestrielles agrégées sur la position extérieure globale qui soient pertinentes, fiables, cohérentes, comparables et opportunes à des fins analytiques. Néanmoins, il existe quelques écarts par rapport aux définitions standard qui sont indiqués dans les notes (voir « i » attaché aux séries).
Dans la position extérieure globale, pour la valeur nette, un signe positif indique un stock net de l'économie nationale vers le reste du monde (un prêt ou une créance sur le reste du monde) et un signe négatif, un stock net du reste du monde vers l'économie nationale (c'est-à-dire un emprunt net auprès du reste du monde). Au niveau des sous-postes (investissements à l'étranger, investissements dans l'économie déclarante, etc.), un signe positif indique un stock d'actifs (créances) du sous-poste considéré et un signe négatif un stock de passifs. Ces conventions sont imposées par le MBP6.
Le flux de données couvre : tous les pays membres de l'OCDE, les économies du G20 et une sélection d'économies non membres.
L'unité de mesure utilisée pour toutes les séries est :
Millions de dollars US ou Millions de monnaie nationale.
Contact pour les statistiques de l'OCDE : stat.contact@oecd.org
http://www.oecd.org/sdd"}, {"@xml:lang": "en", "#text": "The international investment position (IIP) is a statistical statement that provides a systematic summary of the accumulated value of an economy’s financial assets in other countries and its liabilities to residents of other countries at the end of a specific time period. The difference between assets and liabilities is the net international investment position and represents either a net claim on, or a net liability to, the rest of the world. Data are shown by categories of investment, such as direct investment, portfolio investment, and reserve assets, each with expanded detail available. Understanding the types of investment held by foreign owners can shed light on the vulnerability of an economy to changes in external market conditions.
This dataset presents economies compiling international investment position statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6), providing strong cross-country comparability.
As such the main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely aggregate quarterly international investment position statistics for analytical purposes. Nevertheless there are some deviations from standard definitions that are indicated in notes (see « i » attached to series).
In the international investment position, for net value, a positive sign indicates a net stock from the domestic economy to the rest of the world (a lending to, or claim on, the rest of the world) and a negative sign, a net stock from the rest of the world to the domestic economy (i.e. a net borrowing from the rest of the world). At the level of the sub items (investment abroad, investment in the reporting economy etc.), a positive sign indicates a stock of assets (claims) of the sub item under consideration and a negative sign a stock of liabilities. These conventions are imposed by the BPM6.
The dataflow covers : all OECD member countries, G20 economies and a selection of non-member economies.
The currency unit used for all series is:
Millions of US dollars or Millions of National Currency.
OECD statistics contact: stat.contact@oecd.org
http://www.oecd.org/sdd"}], "structure:Structure": {"Ref": {"@id": "DSD_BOP", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BOP@DF_TIS", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "CURRENCY=_Z,FREQ,ADJUSTMENT,DECIMALS,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUS,MEASURE=S,ACCOUNTING_ENTRY=B,UNIT_MEASURE=USD_EXC,TIME_PERIOD_START=2009", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACCOUNTING_ENTRY:OECD.SDD.TPS:HCL_ACCOUNTING_ENTRY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "International trade in services"}, {"@xml:lang": "fr", "#text": "Echanges internationaux de services"}], "common:Description": [{"@xml:lang": "en", "#text": "Metadata by country are available in English and French. Please click on the link below:
https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b8105717-7bc7-4320-b01e-d1b13ece5034.
The aim of this dataflow International Trade in Services EBOPS 2010 (by partner country) is to collect and disseminate balance of payments data on international trade in services at the most detailed partner country level available. To the extent that countries report them, data are also broken down by type of service according to the EBOPS 2010 classification.
There has been a growing interest in monitoring patterns of trade in services around the world, which is partly associated with ongoing trade negotiations and partly due to the increasing importance of services in OECD economies. It has been developed to supplement other OECD publications on trade in services to address the data needs of trade analysts. It is also an important part of OECD's programme to facilitate the implementation of the recommendations of the revised Manual on Statistics of International Trade in Services 2010.
The currency unit used for all series is:
Millions of US dollars or Millions of National Currency or Millions of Euros.
OECD statistics contact: stat.contact@oecd.org
http://www.oecd.org/sdd"}, {"@xml:lang": "fr", "#text": "Les m\u00e9tadonn\u00e9es par pays sont disponibles en anglais et en fran\u00e7ais sur le lien ci-dessous :
https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b8105717-7bc7-4320-b01e-d1b13ece5034.
L'objectif de ce flux de données Commerce international de services EBOPS 2010 (par pays partenaire) est de collecter et de diffuser des données de balance des paiements sur le commerce international de services au niveau le plus détaillé possible des pays partenaires. Dans la mesure où les pays les communiquent, les données sont également ventilées par type de service selon la classification de l'EBOPS 2010.
Le suivi des échanges de services dans le monde suscite un intérêt croissant, en partie lié aux négociations commerciales en cours et en partie dû à l'importance croissante des services dans les économies de l'OCDE. Cette publication a été développée pour compléter d'autres publications de l'OCDE sur les échanges de services afin de répondre aux besoins en données des analystes du commerce. Il s'agit également d'un élément important du programme de l'OCDE visant à faciliter la mise en œuvre des recommandations du Manuel révisé des statistiques du commerce international des services 2010.
L'unité de mesure utilisée pour toutes les séries est :
Millions de dollars US ou Millions de monnaie nationale ou Millions d'euros.
Contact pour les statistiques de l'OCDE : stat.contact@oecd.org
http://www.oecd.org/sddThis dataset contains country weights used for calculation of Consumer Prices aggregates for OECD total and G7 area. The weights are based on relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs)."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient les poids des pays utilisés pour le calcul des indices de prix à la consommation agrégés pour le total OCDE et le G7. Les poids sont calculés à partir des dépenses de consommation finale privée des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) exprimées en Parités de pouvoir d’achat (PPA). The Hourly Earnings dataset contains predominantly monthly statistics, and associated statistical methodological information, for the OECD member countries and for selected non-member economies. The Hourly Earnings dataset provides monthly and quarterly data on employees' earnings series. It includes earnings series in manufacturing and for the private economic sector. Mostly the sources of the data are business surveys covering different economic sectors, but in some cases administrative data are also used. The target series for hourly earnings correspond to seasonally adjusted average total earnings paid per employed person per hour, including overtime pay and regularly recurring cash supplements. Where hourly earnings series are not available, a series could refer to weekly or monthly earnings. In this case, a series for full-time or full-time equivalent employees is preferred to an all employees series. L'ensemble de donn\u00e9es sur les r\u00e9mun\u00e9rations horaires contient des statistiques essentiellement mensuelles, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour certaines \u00e9conomies non membres. L'ensemble de donn\u00e9es sur les r\u00e9mun\u00e9rations horaires fournit des donn\u00e9es mensuelles et trimestrielles sur les s\u00e9ries de r\u00e9mun\u00e9rations des salari\u00e9s. Il comprend des s\u00e9ries de r\u00e9mun\u00e9rations dans l'industrie manufacturi\u00e8re et pour le secteur \u00e9conomique priv\u00e9. La plupart des sources de donn\u00e9es sont des enqu\u00eates aupr\u00e8s des entreprises couvrant diff\u00e9rents secteurs \u00e9conomiques, mais dans certains cas, des donn\u00e9es administratives sont \u00e9galement utilis\u00e9es. Les s\u00e9ries cibles pour les r\u00e9mun\u00e9rations horaires correspondent aux r\u00e9mun\u00e9rations totales moyennes corrig\u00e9es des variations saisonni\u00e8res vers\u00e9es par personne occup\u00e9e et par heure, y compris la r\u00e9mun\u00e9ration des heures suppl\u00e9mentaires et les versements r\u00e9guliers en esp\u00e8ces. Lorsque les s\u00e9ries de r\u00e9mun\u00e9rations horaires ne sont pas disponibles, une s\u00e9rie peut se r\u00e9f\u00e9rer \u00e0 des r\u00e9mun\u00e9rations hebdomadaires ou mensuelles. Dans ce cas, une s\u00e9rie pour les salari\u00e9s \u00e0 temps plein ou en \u00e9quivalent temps plein est pr\u00e9f\u00e9rable \u00e0 une s\u00e9rie pour l'ensemble des salari\u00e9s. This dataset contains statistics on Consumer Price Indices - all items, for G20 countries and for the G20 as a whole. The G20 area consists of the following economies: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Korea, Mexico, the Russian Federation, Saudi Arabia, South Africa, Türkiye, the United Kingdom, the United States, the African Union and the European Union. The CPI aggregate for G20 area is calculated for the headline indicator only (CPI/HICP All items). It reflects national CPIs for all G20 countries (with the exception of Türkiye and the United Kingdom) that are not part of the EU while it reflects the HICPs for the EU, its Member States, for Türkiye and the United Kingdom. It is an annual chain-linked Laspeyres-type indices, calculated taking the sixteen individual country members of the G20 (other than France, Germany, and Italy) plus the EU as an aggregate. The G20 aggregate does not include African Union countries, except for South Africa."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des informations sur les indices de prix à la consommation (IPCs, global), pour les pays du G20 et le G20 dans son ensemble. Le G20 comprend les membres suivants : Afrique du Sud, Allemagne, Arabie saoudite, Argentine, Australie, Brésil, Canada, Chine, Corée, États-Unis, Fédération de Russie, France, Inde, Indonésie, Italie, Japon, Mexique, Royaume-Uni, Türkiye, Union africaine et Union européenne. L’agrégat du G20 est calculé uniquement pour l’indicateur global (IPC/IPCH global). Il correspond aux IPCs nationaux pour tous les pays du G20 (à l’exception du Royaume-Uni et de la Türkiye) qui ne sont pas membres de l’UE, tandis qu’il correspond aux IPCHs pour l’UE, ses États membres, le Royaume-Uni et la Türkiye. Il s’agit d’un indice annuel chaîné de type Laspeyres, calculé en agrégeant les indices des seize pays membres du G20 (à l’exception de la France, de l’Allemagne et de l’Italie) et l’agrégat de l’UE. L’agrégat du G20 n’inclut pas les pays de l’Union africaine, à l’exception de l’Afrique du Sud. The International Trade dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for all OECD member countries and for all non-OECD G20 economies and the EU.
The dataset itself contains international trade statistics measured in billions of US dollars (USD) or Millions of billions of National Currency or Growth rates for: Exports, Imports, Trade Balance. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series\u2019 data to aid with analysis."}, {"@xml:lang": "fr", "#text": "Contact pour les statistiques de l'OCDE : stat.contact@oecd.org
Le dataset du commerce international pr\u00e9sente des donn\u00e9es mensuelles du commerce international de marchandises ainsi que les informations m\u00e9thodologiques d\u00e9crivant ces statistiques, pour les pays membres de l'OCDE, les membres du G20 non membres de l'OCDE et l'Union europ\u00e9enne.
Transport and insurance costs, usually referred to as CIF/FOB margins, are important determinants of the volume and geography of international trade. The OECD ITIC dataset combines the largest and most detailed cross-country sample of official national statistics on observed CIF-FOB margins with model estimates, providing information on CIF/FOB margins for more than 200 reporters and 240 partners and over 1200 products (HS 2017 at 4 digits), covering the period 1995 to 2022.
\nThe OECD ITIC dataset is built in four steps. First, a gravity model is estimated based on the reported CIF/FOB margins at HS 6-digit product level (available for 34 countries). Second, the gravity-model coefficients are used to derive estimates for countries which do not explicitly report CIF/FOB margins. Third, the observations that could not be estimated by the model are derived from the estimated margins using standard statistical techniques. Finally, estimates are calibrated to explicitly reported data for countries that provide incomplete time series of observed margins. The final ITIC dataset consists of a combination of reported data and different types of estimates and includes specific codes which identify the methodology behind each observation.
\nITIC constitutes an important tool to further the understanding of global value chains and forms a crucial input to the development of coherent and balanced bilateral trade statistics.
\nNote:
\nFor more information on the methodology, please refer to the working paper accompanying this dataset Recent trends in transport and insurance costs and estimates at disaggregated product level
\nUsers are encouraged to send their questions, or to signal any apparent errors, regarding this database to STAT.Contact@oecd.org
\n"}, {"@xml:lang": "fr", "#text": "Les co\u00fbts de transport et d'assurance, g\u00e9n\u00e9ralement d\u00e9sign\u00e9s sous le nom de marges CAF/FAB, sont des d\u00e9terminants importants du volume et de la g\u00e9ographie du commerce international. La base de donn\u00e9es de l'OCDE ITIC combine l\u2019\u00e9chantillon le plus important et le plus d\u00e9taill\u00e9 par pays partenaire de statistiques nationales officielles sur les marges CAF/FAB observ\u00e9es avec des estimations de mod\u00e8le, fournissant des informations sur les marges CAF/FAB pour plus de 200 d\u00e9clarants et 240 partenaires et plus de 1200 produits (HS 2017 \u00e0 4 chiffres), couvrant la p\u00e9riode de 1995 \u00e0 2022.
\nLa base de donn\u00e9es ITIC de l'OCDE est construite en quatre \u00e9tapes. Premi\u00e8rement, un mod\u00e8le de gravit\u00e9 est estim\u00e9 sur la base des marges CAF/FAB d\u00e9clar\u00e9es par le pays au niveau du produit SH \u00e0 6 chiffres (disponible pour 34 pays). Deuxi\u00e8mement, les coefficients du mod\u00e8le de gravit\u00e9 sont utilis\u00e9s pour d\u00e9river des estimations pour les pays qui ne d\u00e9clarent pas explicitement les marges CAF/FAB. Troisi\u00e8mement, les observations qui n'ont pas pu \u00eatre estim\u00e9es par le mod\u00e8le sont d\u00e9duites des marges estim\u00e9es en utilisant des techniques statistiques standard. Enfin, les estimations sont calibr\u00e9es sur les donn\u00e9es explicitement d\u00e9clar\u00e9es pour les pays qui fournissent des s\u00e9ries chronologiques incompl\u00e8tes de marges observ\u00e9es. La base de donn\u00e9es finale ITIC se compose d'une combinaison de donn\u00e9es d\u00e9clar\u00e9es et de diff\u00e9rents types d'estimations et comprend des codes sp\u00e9cifiques qui identifient la m\u00e9thodologie utilis\u00e9e pour chaque observation.
\nLa base de donn\u00e9es ITIC constitue un outil important pour approfondir la compr\u00e9hension des cha\u00eenes de valeur mondiales et constitue un apport crucial au d\u00e9veloppement de statistiques commerciales bilat\u00e9rales coh\u00e9rentes et \u00e9quilibr\u00e9es.
Remarque:
\nPour plus d'informations sur la m\u00e9thodologie, veuillez-vous r\u00e9f\u00e9rer au document de travail accompagnant cette base de donn\u00e9es (uniquement disponible en anglais) Recent trends in transport and insurance costs and estimates at disaggregated product level
\nLes utilisateurs sont encourag\u00e9s \u00e0 envoyer leurs questions, ou \u00e0 signaler toute erreur apparente, concernant cette base de donn\u00e9es \u00e0 STAT.Contact@oecd.org
\n"}], "structure:Structure": {"Ref": {"@id": "DSD_ITIC", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_EMP_ISIC4_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=EMP,ACTIVITY=BTE,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employed population by economic activity"}, {"@xml:lang": "fr", "#text": "Population occup\u00e9e par activit\u00e9s \u00e9conomiques"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on employed population by economic activity is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by economic activity (Agriculture, Manufacturing, Industry including and excluding construction, Construction and Services) and associated statistical methodological information, for the OECD member countries and for selected other economies.
The employed population commonly comprises employed persons \u201cat work\u201d(i.e. who worked in a job for at least one hour) and employed persons \u201cnot at work\u201d due to temporary absence from a job, or to working-time arrangements (such as shift work, flexitime and compensatory leave for overtime).
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable. Data disaggregated by economic activity are provided according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC), namely Revision 4.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur la population occup\u00e9e par activit\u00e9 \u00e9conomique est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en \u00e2ge de travailler par activit\u00e9 \u00e9conomique (Agriculture, Industrie manufacturi\u00e8re, Industrie y compris et hors construction, Construction et Services) ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
La population occup\u00e9e comprend g\u00e9n\u00e9ralement les personnes occup\u00e9es \"au travail\" (c'est-\u00e0-dire qui ont occup\u00e9 un emploi pendant au moins une heure) et les personnes occup\u00e9es \"non au travail\" en raison d'une absence temporaire d'un emploi ou d'am\u00e9nagements du temps de travail (tels que le travail post\u00e9, les horaires flexibles et les cong\u00e9s compensatoires pour les heures suppl\u00e9mentaires).
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur la force de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international. Les donn\u00e9es ventil\u00e9es par activit\u00e9 \u00e9conomique sont fournies selon la derni\u00e8re version de la Classification internationale type par industrie de toutes les branches d'activit\u00e9 \u00e9conomique (CITI), \u00e0 savoir la r\u00e9vision 4.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_EMP_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=EMP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employed population by age groups"}, {"@xml:lang": "fr", "#text": "Population occup\u00e9e par groupes d'age"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on employed population by age groups is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly quarterly statistics on the employed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information, for the OECD member countries and selected other economies.
The employed population commonly comprises employed persons \u201cat work\u201d(i.e. who worked in a job for at least one hour) and employed persons \u201cnot at work\u201d due to temporary absence from a job, or to working-time arrangements (such as shift work, flexitime and compensatory leave for overtime).
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur la population occup\u00e9e par groupes d\u2019\u00e2ge est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en \u00e2ge de travailler par groupes d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces donn\u00e9es sont disponibles) et par sexe, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
La population occup\u00e9e comprend g\u00e9n\u00e9ralement les personnes occup\u00e9es \"au travail\" (c'est-\u00e0-dire qui ont occup\u00e9 un emploi pendant au moins une heure) et les personnes occup\u00e9es \"non au travail\" en raison d'une absence temporaire d'un emploi ou d'am\u00e9nagements du temps de travail (tels que le travail post\u00e9, les horaires flexibles et les cong\u00e9s compensatoires pour les heures suppl\u00e9mentaires).
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur la force de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_EMP_WAP_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=EMP_WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment rate"}, {"@xml:lang": "fr", "#text": "Taux d'emploi"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on employment rate is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The employment rate is calculated as the number of employed persons as a percentage of the working age population. The employed population commonly comprises employed persons \u201cat work\u201d(i.e. who worked in a job for at least one hour) and employed persons \u201cnot at work\u201d due to temporary absence from a job, or to working-time arrangements (such as shift work, flexitime and compensatory leave for overtime).
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur le taux d'emploi est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en \u00e2ge de travailler par groupes d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces donn\u00e9es sont disponibles) et par sexe, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es. Le taux d'emploi est calcul\u00e9 comme le rapport du nombre de personnes occup\u00e9es en pourcentage de la population en \u00e2ge de travailler.
La population occup\u00e9e comprend g\u00e9n\u00e9ralement les personnes occup\u00e9es \"au travail\" (c'est-\u00e0-dire qui ont occup\u00e9 un emploi pendant au moins une heure) et les personnes occup\u00e9es \"non occup\u00e9es\" en raison d'une absence temporaire d'un emploi ou d'am\u00e9nagements du temps de travail (tels que le travail post\u00e9, les horaires flexibles et les cong\u00e9s compensatoires pour les heures suppl\u00e9mentaires).
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur la force de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_INDIC", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=13,MEASURE=UNE_LF_M,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Infra-annual labour statistics"}, {"@xml:lang": "fr", "#text": "Statistiques infra-annuelles du travail"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual labour statistics dataset contains predominantly monthly and quarterly labour statistics, and associated statistical methodological information, for the OECD member countries and selected other economies. It covers countries that compile labour statistics from sample household surveys on a monthly or quarterly basis. It is widely accepted that household surveys are the best source for labour market key statistics. In such surveys, information is collected from people living in households through a representative sample and the surveys are based on standard methodology and procedures used internationally.
The subjects available cover: working age population by age; active and inactive labour force by age; employment by economic activity, by working time and by status; and, unemployment (including monthly unemployment) by age and by duration. Data is expressed in levels (thousands of persons) or rates (e.g. employment rate) where applicable. The relationship between these several measures are as follow:
\u2022 Working age population = Labour force population + Inactive population
\u2022 Labour force population = Employed population + Unemployed population
\u2022 Employment rate = Employed population / Working age population
\u2022 Unemployment rate = Unemployed population / Labour force population
\u2022 Labour force participation rate = Labour force population / Working age population
\nThe infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es infra-annuelles sur les statistiques du travail contient principalement des statistiques du travail mensuelles et trimestrielles, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et d'autres \u00e9conomies s\u00e9lectionn\u00e9es. Il couvre les pays qui compilent des statistiques du travail \u00e0 partir d'enqu\u00eates par sondage aupr\u00e8s des m\u00e9nages sur une base mensuelle ou trimestrielle. Il est largement admis que les enqu\u00eates aupr\u00e8s des m\u00e9nages constituent la meilleure source de statistiques cl\u00e9s sur le march\u00e9 du travail. Dans ces enqu\u00eates, les informations sont collect\u00e9es aupr\u00e8s des personnes vivant dans un m\u00e9nage par le biais d'un \u00e9chantillon repr\u00e9sentatif et les enqu\u00eates sont bas\u00e9es sur une m\u00e9thodologie et des proc\u00e9dures standard utilis\u00e9es au niveau international.
Les sujets disponibles couvrent : la population en \u00e2ge de travailler par \u00e2ge ; la main-d'\u0153uvre active et inactive par \u00e2ge ; l'emploi par activit\u00e9 \u00e9conomique, par temps de travail et par statut ; et le ch\u00f4mage (y compris le ch\u00f4mage mensuel) par \u00e2ge et par dur\u00e9e. Les donn\u00e9es sont exprim\u00e9es en niveaux (milliers de personnes) ou en taux (par exemple, le taux d'emploi), le cas \u00e9ch\u00e9ant. La relation entre ces diff\u00e9rentes mesures est la suivante :\n
\u2022 Population en \u00e2ge de travailler = population active + population inactive
\n
\u2022 Population active = population active occup\u00e9e + population inactive
\n
\u2022 Taux d'emploi = population employ\u00e9e / population en \u00e2ge de travailler
\n
\u2022 Taux de ch\u00f4mage = population au ch\u00f4mage / population active
\n
\u2022 Taux d'activit\u00e9 = population active / population en \u00e2ge de travailler
\n\n
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur la force de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_LF_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=LF,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour force population"}, {"@xml:lang": "fr", "#text": "Population active"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on labour force population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The labour force population is commonly defined as the sum of all persons of working age who are employed and those who are unemployed.
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur la population active est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la la population active par groupes d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque les donn\u00e9es sont disponibles) et par sexe ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
La population active est g\u00e9n\u00e9ralement d\u00e9finie comme la somme de toutes les personnes en \u00e2ge de travailler qui ont un emploi et de celles qui sont au ch\u00f4mage.
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur la force de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_LF_WAP_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=LF_WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Labour force participation rate"}, {"@xml:lang": "fr", "#text": "Taux d'activit\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on the labour force participation rate is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the labour force participation rate by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The labour force participation rate is calculated as the number of the labour force population as a percentage of the working age population.
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur le taux d'activit\u00e9 est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur le taux d'activit\u00e9 par groupe d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsqu'elles sont disponibles) et par sexe, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
Le taux d'activit\u00e9 est calcul\u00e9 comme le rapport le rapport du nombre de personnes actives en pourcentage de la population en \u00e2ge de travailler.
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es d'enqu\u00eates sur les forces de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_OLF_WAP_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=OLF_WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Population outside the labour force"}, {"@xml:lang": "fr", "#text": "Population inactive"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on the outside the labour force population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the outside the labour force population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed).
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur la population inactive est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population inactive par groupe d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces donn\u00e9es sont disponibles) et par sexe, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
Les personnes hors de la population active comprennent toutes les personnes en \u00e2ge de travailler qui, au cours de la p\u00e9riode de r\u00e9f\u00e9rence sp\u00e9cifi\u00e9e, ne faisaient pas partie de la population active (c'est-\u00e0-dire qu'elles n'\u00e9taient ni occup\u00e9es ni au ch\u00f4mage).
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur les forces de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_UNE_LF_M", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=13,MEASURE=UNE_LF_M,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Monthly unemployment levels"}, {"@xml:lang": "fr", "#text": "Niveaux de ch\u00f4mage mensuels"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on the monthly unemployed population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job.
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "
Le flux de donn\u00e9es infra-annuelles sur la population mensuelle au ch\u00f4mage est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population au ch\u00f4mage par groupe d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces donn\u00e9es sont disponibles) et par sexe, ainsi que des informations statistiques m\u00e9thodologiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
Les ch\u00f4meurs sont des personnes en \u00e2ge de travailler qui, au cours de la p\u00e9riode de r\u00e9f\u00e9rence, n'ont pas d'emploi, sont disponibles pour travailler et ont entrepris des d\u00e9marches sp\u00e9cifiques pour trouver un emploi.
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur les forces de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_UNE_M", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=13,MEASURE=UNE_M,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Monthly unemployment rates"}, {"@xml:lang": "fr", "#text": "Taux de ch\u00f4mage mensuels"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on the monthly unemployment rate is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The unemployment rate is calculated as the number of unemployed persons as a percentage of the labour force (i.e., the unemployed plus those in employment). The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job.
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur le taux de ch\u00f4mage mensuel est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population au ch\u00f4mage par groupe d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces donn\u00e9es sont disponibles) et par sexe, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
Le taux de ch\u00f4mage est calcul\u00e9 comme le nombre de ch\u00f4meurs en pourcentage de la population active (c'est-\u00e0-dire les ch\u00f4meurs plus les personnes ayant un emploi). Les ch\u00f4meurs sont des personnes en \u00e2ge de travailler qui, au cours de la p\u00e9riode de r\u00e9f\u00e9rence, n'ont pas d'emploi, sont disponibles pour travailler et ont entrepris des d\u00e9marches sp\u00e9cifiques pour trouver un emploi.
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur les forces de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_UNE_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=UNE,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Unemployed population"}, {"@xml:lang": "fr", "#text": "Population au ch\u00f4mage"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on the unemployed population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies.
The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job.
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur la population au ch\u00f4mage est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population au ch\u00f4mage par groupe d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces donn\u00e9es sont disponibles) et par sexe, ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
Les ch\u00f4meurs sont des personnes en \u00e2ge de travailler qui, au cours de la p\u00e9riode de r\u00e9f\u00e9rence, n'ont pas d'emploi, sont disponibles pour travailler et ont entrepris des d\u00e9marches sp\u00e9cifiques pour trouver un emploi.
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur les forces de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_LFS@DF_IALFS_WAP_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=7,MEASURE=WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Working-age population"}, {"@xml:lang": "fr", "#text": "Population en \u00e2ge de travailler"}], "common:Description": [{"@xml:lang": "en", "#text": "The infra-annual dataflow on working age population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information, for the OECD member countries and selected other economies.
The working-age population is commonly defined as persons aged 15 years and older.
The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.
"}, {"@xml:lang": "fr", "#text": "Le flux de donn\u00e9es infra-annuelles sur la population en \u00e2ge de travailler est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en \u00e2ge de travailler par groupes d'\u00e2ge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque les donn\u00e9es sont disponibles) et par sexe ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
La population en \u00e2ge de travailler est g\u00e9n\u00e9ralement d\u00e9finie comme les personnes \u00e2g\u00e9es de 15 ans et plus.
Les statistiques infra-annuelles du travail compil\u00e9es pour tous les pays membres de l'OCDE sont tir\u00e9es des enqu\u00eates sur la force de travail bas\u00e9es sur la d\u00e9finition fournie par la 19e Conf\u00e9rence des statisticiens du travail en 2013. L'application uniforme de ces d\u00e9finitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.
"}], "structure:Structure": {"Ref": {"@id": "DSD_LFS", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_OLAB@DF_OIALAB_INDIC", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=13,MEASURE=REG_UNE+REG_UNE_LF+VAC_N+VAC_U,ADJUSTMENT=Y,TRANSFORMATION=_Z+B1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Infra-annual registered unemployment and job vacancies"}, {"@xml:lang": "fr", "#text": "Statistiques infra-annuelles du ch\u00f4mage administratif et des offres d'emploi"}], "common:Description": [{"@xml:lang": "en", "#text": "The Registered Unemployment and Job Vacancies statistics\n\t\t\t\t\tis a subset of the Infra-annual Labour Force Statistics database, which contains\n\t\t\t\t\tpredominantly quarterly and monthly statistics, and associated statistical methodological\n\t\t\t\t\tinformation, for the OECD member countries and selected other economies.\n\t\t\t\t\t
There are basically two sources for unemployment statistics: labour force\n\t\t\t\t\tsurveys and administrative data. Surveys are based on standard methodology and\n\t\t\t\t\tprocedures used all over the world while administrative data are subject to\n\t\t\t\t\tnational legislations which evolve through time. Consequently registered\n\t\t\t\t\tunemployment data are not comparable across countries. The relationship between\n\t\t\t\t\tsurvey and registered unemployment is not the same for all countries. Number of\n\t\t\t\t\tregistered unemployed persons and registered unemployment rates are presented\n\t\t\t\t\there because they are monthly and quickly available after their reference\n\t\t\t\t\tperiod.
The job vacancies data provides estimates of the number of unfilled job\n\t\t\t\t\tvacancies across national economies. Series give an indication of the labour\n\t\t\t\t\tdemand while the unemployment is linked with the labour\n\t\t\t\t\tsupply.
"}, {"@xml:lang": "fr", "#text": "L'ensemble de donn\u00e9es infra-annuelles sur le ch\u00f4mage administratif et les offres d'emploi est un sous-ensemble de la base de donn\u00e9es infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles ainsi que des informations m\u00e9thodologiques statistiques associ\u00e9es, pour les pays membres de l'OCDE et pour d'autres \u00e9conomies s\u00e9lectionn\u00e9es.
Il existe essentiellement deux sources de statistiques sur le ch\u00f4mage : les enqu\u00eates sur la force de travail et les donn\u00e9es administratives. Les enqu\u00eates sont bas\u00e9es sur une m\u00e9thodologie et des proc\u00e9dures standard utilis\u00e9es dans le monde entier, tandis que les donn\u00e9es administratives sont soumises \u00e0 des l\u00e9gislations nationales qui \u00e9voluent au fil du temps. Par cons\u00e9quent, les donn\u00e9es sur le ch\u00f4mage administratif ne sont pas comparables d'un pays \u00e0 l'autre. La relation entre l'enqu\u00eate et le ch\u00f4mage administratif n'est pas la m\u00eame dans tous les pays. Le nombre de ch\u00f4meurs inscrits et les taux de ch\u00f4mage administratif sont pr\u00e9sent\u00e9s ici parce qu'ils sont mensuels et rapidement disponibles apr\u00e8s leur p\u00e9riode de r\u00e9f\u00e9rence.
Les donn\u00e9es sur les emplois vacants fournissent des estimations du nombre d'emplois vacants non pourvus dans les \u00e9conomies nationales. Les s\u00e9ries donnent une indication de la demande de main-d'\u0153uvre, tandis que le ch\u00f4mage est li\u00e9 \u00e0 l'offre de main-d'\u0153uvre.
"}], "structure:Structure": {"Ref": {"@id": "DSD_OLAB", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PDB@DF_PDB_GR", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=FRA", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,CONVERSION_TYPE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Productivity growth rates"}, {"@xml:lang": "fr", "#text": "Croissance de la productivit\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file OECD-Productivity-Statistics-Database-metadata"}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es de l'OCDE sur la productivit\u00e9 vise \u00e0 fournir aux utilisateurs les estimations de productivit\u00e9 les plus compl\u00e8tes et les plus r\u00e9centes. Le cycle de mise \u00e0 jour est continu : chaque variable de l'ensemble de donn\u00e9es est rendue publique d\u00e8s qu'elle est mise \u00e0 jour dans les bases de donn\u00e9es sources. La base de donn\u00e9es sur la productivit\u00e9 contient des donn\u00e9es sur la productivit\u00e9 du travail, mesur\u00e9es \u00e0 la fois en utilisant l'emploi ou les heures travaill\u00e9es et les composantes du capital et du travail. La base de donn\u00e9es sur la productivit\u00e9 en niveaux, en taux de croissance et par industrie contient des donn\u00e9es annuelles, tandis que la base de donn\u00e9es sur la productivit\u00e9 et les co\u00fbts unitaires de main-d'\u0153uvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de donn\u00e9es et la m\u00e9thodologie peuvent \u00eatre trouv\u00e9es dans le fichier ci-joint. OECD-Productivity-Statistics-Database-metadata"}], "structure:Structure": {"Ref": {"@id": "DSD_PDB", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PDB@DF_PDB_ISIC4_I4", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "LASTNPERIODS=1,ACTIVITY = BEXCL,MEASURE=GVAHRS,TRANSFORMATION=G1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER,CONVERSION_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "10000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Productivity by industry"}, {"@xml:lang": "fr", "#text": "Productivit\u00e9 par principale activit\u00e9 \u00e9conomique"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file OECD-Productivity-Statistics-Database-metadata"}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es de l'OCDE sur la productivit\u00e9 vise \u00e0 fournir aux utilisateurs les estimations de productivit\u00e9 les plus compl\u00e8tes et les plus r\u00e9centes. Le cycle de mise \u00e0 jour est continu : chaque variable de l'ensemble de donn\u00e9es est rendue publique d\u00e8s qu'elle est mise \u00e0 jour dans les bases de donn\u00e9es sources. La base de donn\u00e9es sur la productivit\u00e9 contient des donn\u00e9es sur la productivit\u00e9 du travail, mesur\u00e9es \u00e0 la fois en utilisant l'emploi ou les heures travaill\u00e9es et les composantes du capital et du travail. La base de donn\u00e9es sur la productivit\u00e9 en niveaux, en taux de croissance et par industrie contient des donn\u00e9es annuelles, tandis que la base de donn\u00e9es sur la productivit\u00e9 et les co\u00fbts unitaires de main-d'\u0153uvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de donn\u00e9es et la m\u00e9thodologie peuvent \u00eatre trouv\u00e9es dans le fichier ci-joint. OECD-Productivity-Statistics-Database-metadata"}], "structure:Structure": {"Ref": {"@id": "DSD_PDB", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PDB@DF_PDB_LV", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=GDPHRS", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER,CONVERSION_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Productivity levels"}, {"@xml:lang": "fr", "#text": "Niveau de la productivit\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file OECD-Productivity-Statistics-Database-metadata"}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es de l'OCDE sur la productivit\u00e9 vise \u00e0 fournir aux utilisateurs les estimations de productivit\u00e9 les plus compl\u00e8tes et les plus r\u00e9centes. Le cycle de mise \u00e0 jour est continu : chaque variable de l'ensemble de donn\u00e9es est rendue publique d\u00e8s qu'elle est mise \u00e0 jour dans les bases de donn\u00e9es sources. La base de donn\u00e9es sur la productivit\u00e9 contient des donn\u00e9es sur la productivit\u00e9 du travail, mesur\u00e9es \u00e0 la fois en utilisant l'emploi ou les heures travaill\u00e9es et les composantes du capital et du travail. La base de donn\u00e9es sur la productivit\u00e9 en niveaux, en taux de croissance et par industrie contient des donn\u00e9es annuelles, tandis que la base de donn\u00e9es sur la productivit\u00e9 et les co\u00fbts unitaires de main-d'\u0153uvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de donn\u00e9es et la m\u00e9thodologie peuvent \u00eatre trouv\u00e9es dans le fichier ci-joint. OECD-Productivity-Statistics-Database-metadata"}], "structure:Structure": {"Ref": {"@id": "DSD_PDB", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PDB@DF_PDB_ULC_Q", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=NC,CONVERSION_TYPE=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,TRANSFORMATION,ADJUSTMENT;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER,CONVERSION_TYPE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Productivity and unit labour costs"}, {"@xml:lang": "fr", "#text": "Productivi\u00e9 et CUM"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file OECD-Productivity-Statistics-Database-metadata"}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es de l'OCDE sur la productivit\u00e9 vise \u00e0 fournir aux utilisateurs les estimations de productivit\u00e9 les plus compl\u00e8tes et les plus r\u00e9centes. Le cycle de mise \u00e0 jour est continu : chaque variable de l'ensemble de donn\u00e9es est rendue publique d\u00e8s qu'elle est mise \u00e0 jour dans les bases de donn\u00e9es sources. La base de donn\u00e9es sur la productivit\u00e9 contient des donn\u00e9es sur la productivit\u00e9 du travail, mesur\u00e9es \u00e0 la fois en utilisant l'emploi ou les heures travaill\u00e9es et les composantes du capital et du travail. La base de donn\u00e9es sur la productivit\u00e9 en niveaux, en taux de croissance et par industrie contient des donn\u00e9es annuelles, tandis que la base de donn\u00e9es sur la productivit\u00e9 et les co\u00fbts unitaires de main-d'\u0153uvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de donn\u00e9es et la m\u00e9thodologie peuvent \u00eatre trouv\u00e9es dans le fichier ci-joint. OECD-Productivity-Statistics-Database-metadata"}], "structure:Structure": {"Ref": {"@id": "DSD_PDB", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PPP@DF_PPP", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ANALYTICAL_CATEGORIES", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,BASE_REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=PPP,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,BASE_REF_AREA=OECD", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "200000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "fr", "#text": "PPA r\u00e9sultats d\u00e9taill\u00e9s, depuis 2020"}, {"@xml:lang": "en", "#text": "PPP detailed results, 2020 onwards"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce jeu de donn\u00e9es contient les r\u00e9sultats d\u00e9taill\u00e9s du Programme conjoint Eurostat-OCDE de Parit\u00e9s de Pouvoir d'Achat pour les 48 pays participants \u00e0 partir de 2020. La production des PPA est un exercice multilat\u00e9ral impliquant les Instituts Statistiques Nationaux des pays participants, Eurostat et l'OCDE. Des indicateurs avec l'OCDE comme r\u00e9f\u00e9rence et avec l'Union europ\u00e9enne comme r\u00e9f\u00e9rence sont pr\u00e9sent\u00e9s dans ce jeu de donn\u00e9es.
\nLes donn\u00e9es jusqu'en 2021 sont d\u00e9finitives, celles de 2022 sont quasi-d\u00e9finitives et celles de 2023 sont pr\u00e9liminaires. La prochaine mise \u00e0 jour inclura :
\nThis dataset contains detailed results of the joint Eurostat-OECD Purchasing Power Parities Programme for the 48 participating countries from 2020 onwards. The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD. Indicators with OECD as reference and with the European Union as reference are presented in this dataset.
\nData until 2021 is final, 2022 is quasi-final, and 2023 is preliminary. The next update will include:
\nThis dataset contains monthly Comparative Price Levels (CPL) for OECD countries. CPLs are defined as the ratios of PPPs for private final consumption expenditure to exchange rates. They provide measures of differences in price levels between countries. The monthly PPPs used to derive the table are OECD estimates. The table is to be read vertically. Each column shows the number of specified monetary units needed in each of the countries listed to buy the same representative basket of consumer goods and services. In each case the representative basket costs a hundred units in the country whose currency is specified. Let\u2019s take an example. If you are a Canadian citizen and you want to know the price level in Canada when compared to other countries, you have to look at the column Canada, where the price level is set at 100 for the whole column. If you have 120 for Finland, it means that the price level in Finland is 20% higher than in Canada. It means that you would spend 120 dollars in Finland to buy the same basket of goods and services when you spend 100 in Canada.
The monthly PPPs used to derive the table are obtained by extrapolating 2022 PPPs for household final consumption expenditure using the relative rates of inflation between the countries as measured by their consumer price indices. Unless a country is a high inflation country, its PPP will tend to change slowly over time. Month-to-month changes in comparative price levels are more likely to be the result of exchange rate fluctuations.
Updated data are available at the beginning of each month.
Click here for release dates
OECD statistics contact: stat.contact@oecd.org"}, {"@xml:lang": "fr", "#text": "
Ce tableau pr\u00e9sente les niveaux de prix compar\u00e9s pour les pays de l'OCDE. Les niveaux de prix compar\u00e9s sont d\u00e9finis comme les rapports des PPA de la consommation finale priv\u00e9e et des taux de change. Ils mesurent les diff\u00e9rences de niveaux de prix entre les pays. Les PPA mensuelles utilis\u00e9es ici sont des estimations de l'OCDE. Ce tableau se lit verticalement. Chaque colonne montre, pour tous les pays de la liste, le nombre d'unit\u00e9s mon\u00e9taires nationales permettant d'acheter, dans chacun de ces pays, le m\u00eame panier repr\u00e9sentatif de biens et services. Le panier repr\u00e9sentatif co\u00fbte 100 unit\u00e9s dans le pays pour lequel la monnaie est pr\u00e9cis\u00e9e. Prenons un example. Si vous \u00eates un citoyen canadien et vous voulez comparer le niveau de prix aux autres pays, il faut regarder la colonne Canada, o\u00f9 le niveau de prix est 100 pour toute la colonne. Si vous avez par exemple, 120 pour la Finlande, alors cela signifie que le niveau de prix en Finlande est 20% plus haut qu'au Canada. Cela signifie que vous d\u00e9penseriez 120 dollars si vous achetiez le m\u00eame panier en Finlande lorsque vous en d\u00e9pensez 100 au Canada.
Les PPA mensuelles utilis\u00e9es pour construire ce tableau sont obtenues par extrapolation des PPP 2022 de la consommation priv\u00e9e. L'indicateur utilis\u00e9 est le taux d'inflation relatif entre les pays, mesur\u00e9 par l'indice de prix \u00e0 la consommation. Les PPA tendent \u00e0 \u00eatre assez stables au cours du temps sauf dans le cas de pays \u00e0 forte inflation. Les variations mensuelles des niveaux de prix compar\u00e9s sont vraisemblablement davatage dues aux fluctuations des taux de change.
Les donn\u00e9es mises \u00e0 jour sont disponibles au d\u00e9but de chaque mois.
Cliquez ici pour les dates de publication
Contact pour les statistiques de l'OCDE : stat.contact@oecd.org"}], "structure:Structure": {"Ref": {"@id": "DSD_PPP_M", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_PRICES@DF_PRICES_ALL", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,EXPENDITURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,METHODOLOGY,TRANSFORMATION,ADJUSTMENT", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,MEASURE=CPI,METHODOLOGY=N,TRANSFORMATION=GY+_Z,ADJUSTMENT=N,LASTNPERIODS=13,EXPENDITURE=_T", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}, {"common:AnnotationTitle": "10000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Consumer price indices (CPIs, HICPs), COICOP 1999"}, {"@xml:lang": "fr", "#text": "Indices des prix \u00e0 la consommation (IPCs, IPCHs), COICOP 1999"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset contains statistics on Consumer Price Indices by COICOP 1999 divisions, including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national year-on-year inflation. For countries for which data are already available according to the COICOP 2018 classification statistics on Consumer Price Indices can be found in dataset Consumer price indices (CPIs, HICPs), COICOP 2018. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data)."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation pour les divisions de la classification COICOP 1999, et contient les IPCs nationaux, les indices de prix à la consommation harmonisés (IPCHs) et les poids associés, ainsi que les contributions à l’inflation en glissement annuel nationale. Pour les pays pour lesquels les données sont déjà disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix à la consommation se trouvent dans l’ensemble de données Indices des prix à la consommation (IPCs), COICOP 2018. Les séries présentées ont été choisies car elles sont considérées comme les statistiques de prix les plus pertinentes pour lesquelles des données comparables entre les pays sont disponibles. Les données sont mensuelles pour tous les pays à l’exception de l’Australie et de la Nouvelle-Zélande (données trimestrielles). This dataset contains statistics on contributions to national year-on-year inflation by COICOP 1999 divisions. Contributions show how much each of the COICOP Divisions contributes to the annual inflation. All data are calculated by the OECD following the Ribe formula. However, data for Austria, Chile, Finland, Mexico, the Netherlands, Poland, Sweden and the United Kingdom are directly calculated by the National Statistical Offices. For countries for which data are already available according to the COICOP 2018 classification, contributions can be found in dataset Contribution to year-on-year inflation by COICOP 2018 by country."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques de contribution à l’inflation en glissement annuel nationale pour les divisions de la classification COICOP 1999. Les contributions indiquent dans quelle mesure chaque division de la COICOP contribue à l’inflation annuelle. Toutes les données sont calculées par l’OCDE avec la formule de Ribe. Cependant, les données pour l’Autriche, la Finlande, le Mexique, les Pays-Bas, la Pologne, la Suède et le Royaume-Uni sont calculées directement par les offices statistiques nationaux. Pour les pays pour lesquels les données sont déjà disponibles selon la classification COICOP 2018, les contributions se trouvent dans l’ensemble de données Contribution à l'inflation en glissement annuel par divisions COICOP 2018, par pays. This dataset contains statistics on Harmonised Indices of Consumer Prices (HICPs) by ECOICOP divisions and their associated weights. HICPs are published by Eurostat, the statistical office of the European Union and are calculated according to a harmonised approach and a single set of definitions in order to give comparable measures of inflation in the euro area, the European Union, the European Economic Area and for other countries."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation harmonisés (IPCHs) pour les divisions de la classification COICOP 2018 et les poids associés. Les IPCHs sont publiés par Eurostat, l’Office statistique de l’Union européenne et sont calculés en utilisant une approche harmonisée et un ensemble unique de définitions, afin de présenter des mesures comparables de l’inflation dans la zone euro, l’Union européenne, l’Espace économique européen et pour les autres pays. This dataset contains item weights associated to Harmonised Indices of Consumer Prices (HICPs) by ECOICOP divisions. HICPs are published by Eurostat, the statistical office of the European Union and are calculated according to a harmonised approach and a single set of definitions in order to give comparable measures of inflation in the euro area, the European Union, the European Economic Area and for other countries."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient les poids associés aux indices de prix à la consommation harmonisés (IPCHs) par divisions de la classification ECOICOP. Les IPCHs sont publiés par Eurostat, l’Office statistique de l’Union européenne et sont calculés en utilisant une approche harmonisée et un ensemble unique de définitions, afin de présenter des mesures comparables de l’inflation dans la zone euro, l’Union européenne, l’Espace économique européen et pour les autres pays. This dataset contains statistics on national Consumer Price Indices for Food and non-alcoholic beverages (COICOP 1999). For countries for which data are already available according to the COICOP 2018 classification, statistics on CPIs for Food and non-alcoholic beverages can be found in dataset National CPI, Growth rate over one year, All countries, Food and non-alcoholic beverages, COICOP 2018. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data)."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation pour les produits alimentaires et boissons non alcoolisées (COICOP 1999). Pour les pays pour lesquels les données sont déjà disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix à la consommation pour les produits alimentaires et boissons non alcoolisées se trouvent dans l’ensemble de données IPC national, taux de croissance sur un an, tous les pays, produits alimentaires et boissons non alcoolisées, COICOP 2018. Les données sont mensuelles pour tous les pays à l’exception de l’Australie et de la Nouvelle-Zélande (données trimestrielles). This dataset contains statistics on national Consumer Price Indices for Energy (COICOP 1999). For countries for which data are already available according to the COICOP 2018 classification, statistics on CPIs for Energy can be found in dataset National CPI, Growth rate over one year, All countries, Energy, COICOP 2018. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data)."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation de l’énergie (COICOP 1999). Pour les pays pour lesquels les données sont déjà disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix à la consommation de l’énergie se trouvent dans l’ensemble de données IPC national, taux de croissance sur un an, tous les pays, énergie, COICOP 2018. Les données sont mensuelles pour tous les pays à l’exception de l’Australie et de la Nouvelle-Zélande (données trimestrielles). This dataset contains item weights associated to national CPIs. Weights are defined as the proportion of total household expenditure spent on a given product during the weight reference period. For countries for which data are already available according to the COICOP 2018 classification, contributions can be found in dataset National CPI, Item weights, COICOP 2018."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient les poids associés aux IPCs nationaux. Les poids correspondent à la part des dépenses de l’ensemble des ménages dans un produit donné au cours de la période de référence des poids. Pour les pays pour lesquels les données sont déjà disponibles selon la classification COICOP 2018, les poids associés aux IPCs nationaux se trouvent dans l’ensemble de données IPC national, pondération des dépenses, COICOP 2018, tous les pays, global. This dataset contains statistics on national Consumer Price Indices for all items less food and energy (COICOP 1999). For countries for which data are already available according to the COICOP 2018 classification, statistics on CPIs for all items less food and energy can be found in dataset National CPI, Growth rate over one year, All countries, All items less food and energy, COICOP 2018. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data)."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation hors alimentation et énergie (COICOP 1999). Pour les pays pour lesquels les données sont déjà disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix à la consommation hors alimentation et énergie se trouvent dans l’ensemble de données IPC national, taux de croissance sur un an, tous les pays, global hors alimentation et énergie, COICOP 2018. Les données sont mensuelles pour tous les pays à l’exception de l’Australie et de la Nouvelle-Zélande (données trimestrielles). This dataset contains statistics on Consumer Price Indices by COICOP 2018 divisions, including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national year-on-year inflation. For countries for which data are not yet available according to the COICOP 2018 classification, statistics on Consumer Price Indices can be found in dataset Consumer price indices (CPIs, HICPs), COICOP 1999. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation pour les divisions de la classification COICOP 2018, et contient les IPCs nationaux et les poids associés, ainsi que les contributions à l’inflation en glissement annuel nationale. Pour les pays pour lesquels les données ne sont pas encore disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix à la consommation se trouvent dans l’ensemble de données Indices des prix à la consommation (IPCs, IPCHs), COICOP 1999. Les séries présentées ont été choisies car elles sont considérées comme les statistiques de prix les plus pertinentes pour lesquelles des données comparables entre les pays sont disponibles. This dataset contains statistics on contributions to national year-on-year inflation by COICOP 2018 divisions. Contributions show how much each of the COICOP Divisions contributes to the annual inflation. All data are calculated by the OECD following the Ribe formula. For countries for which data are not yet available according to the COICOP 2018 classification, contributions can be found in dataset Contribution to year-on-year inflation by COICOP 1999 by country."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques de contribution à l’inflation en glissement annuel nationale pour les divisions de la classification COICOP 2018. Les contributions indiquent dans quelle mesure chaque division de la COICOP contribue à l’inflation annuelle. Toutes les données sont calculées par l’OCDE avec la formule de Ribe. Pour les pays pour lesquels les données ne sont pas encore disponibles selon la classification COICOP 2018, les contributions se trouvent dans l’ensemble de données Contribution à l'inflation en glissement annuel par divisions COICOP 1999, par pays. This dataset contains statistics on national Consumer Price Indices for Food and non-alcoholic beverages (COICOP 2018). For countries for which data are not yet available according to the COICOP 2018 classification, statistics on CPIs for Food and non-alcoholic beverages can be found in dataset National CPI, Growth rate over one year, All countries, Food and non-alcoholic beverages, COICOP 1999."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation pour les produits alimentaires et boissons non alcoolisées (COICOP 2018). Pour les pays pour lesquels les données ne sont pas encore disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix à la consommation pour les produits alimentaires et boissons non alcoolisées se trouvent dans l’ensemble de données IPC national, taux de croissance sur un an, tous les pays, produits alimentaires et boissons non alcoolisées, COICOP 1999. This dataset contains statistics on national Consumer Price Indices for Energy (COICOP 2018). For countries for which data are not yet available according to the COICOP 2018 classification, statistics on CPIs for Energy can be found in dataset National CPI, Growth rate over one year, All countries, Energy, COICOP 1999."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation de l’énergie (COICOP 2018). Pour les pays pour lesquels les données ne sont pas encore disponibles selon la classification COICOP 2018 les statistiques sur les indices de prix à la consommation de l’énergie se trouvent dans l’ensemble de données IPC national, taux de croissance sur un an, tous les pays, énergie, COICOP 1999. This dataset contains item weights associated to national CPIs. Weights are defined as the proportion of total household expenditure spent on a given product during the weight reference period. For countries for which data are not yet available according to the COICOP 2018 classification, contributions can be found in dataset National CPI, Item weights, COICOP 1999."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient les poids associés aux IPCs nationaux. Les poids correspondent à la part des dépenses de l’ensemble des ménages dans un produit donné au cours de la période de référence des poids. Pour les pays pour lesquels les données ne sont pas encore disponibles selon la classification COICOP 2018, les poids associés aux IPCs nationaux se trouvent dans l’ensemble de données Indices des prix à la consommation (IPCs, IPCHs), COICOP 1999. This dataset contains statistics on national Consumer Price Indices for all items less food and energy (COICOP 2018). For countries for which data are not yet available according to the COICOP 2018 classification, statistics on CPIs for all items less food and energy can be found in dataset National CPI, Growth rate over one year, All items less food and energy, COICOP 1999."}, {"@xml:lang": "fr", "#text": " Cet ensemble de données contient des statistiques sur les indices de prix à la consommation hors alimentation et énergie (COICOP 2018). Pour les pays pour lesquels les données ne sont pas encore disponibles selon la classification COICOP 2018 les statistiques sur les indices de prix à la consommation hors alimentation et énergie se trouvent dans l’ensemble de données IPC national, taux de croissance sur un an, tous les pays, global hors alimentation et énergie, COICOP 1999. Residential Property Price Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector. “National and Regional House Price Indices” datasets include RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings). The dataset called “National and Regional House Price Indices” contains the full list of available RPPIs. Residential Property Price Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. Number and value of housing transactions are provided in the same dataset as RPPIs. They are available as quarterly indices and refer to the total number and value of dwellings transactions at national level where the purchaser is a household. “National and Regional House Price Indices” datasets include RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings). This dataset called “National and Regional House Price Indices – Headline Indicators” presents, for each country, the RPPI that is available at the most aggregate level at both national and regional levels. It mainly contains quarterly statistics. This dataset presents Employer business demography."}, "structure:Structure": {"Ref": {"@id": "DSD_SDBSBD_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDBSBSC_ISIC4@DF_SDBS_ISIC4", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SIZE_CLASS", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=ENTR+TUTT,ACTIVITY=C,TIME_PERIOD_START=2018,SIZE_CLASS=_T+S1T249+S_GE250", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Structural business statistics by size class and economic activity (ISIC Rev. 4)"}, {"@xml:lang": "fr", "#text": "Statistiques structurelles des entreprises par classe de taille et activit\u00e9 \u00e9conomique (CITI rev.4)"}], "common:Description": [{"@xml:lang": "en", "#text": "OECD statistics contact: stat.contact@oecd.org The OECD Secretariat collects a wide range of statistics on businesses and business activity. The Structural Business Statistics by size class dataset is part of the Structural and Demographic Business Statistics (SDBS) database featuring the harmonised data collection of the OECD Statistics and Data Directorate relating to a number of key variables, such as value added, operating surplus, employment, and the number of business units. Data are broken down to class (4-digit) level of International Standard of Industrial Classification (ISIC Revision 4), and by enterprise size class based on the number of persons employed. Data cover OECD member and partner countries, non-OECD countries that are members of the European Statistical System who provide data to Eurostat, as well as countries participating in OECD Regional initiatives."}, {"@xml:lang": "fr", "#text": "Contact pour les statistiques de l'OCDE : stat.contact@oecd.org Le Secr\u00e9tariat de l'OCDE collecte un nombre de statistiques sur les entreprises et leur activit\u00e9. L'ensemble de donn\u00e9es Statistiques structurelles des entreprises par classe de taille fait partie de la base de donn\u00e9es Statistiques structurelles et d\u00e9mographiques des entreprises (SDBS) qui pr\u00e9sente la collecte de donn\u00e9es harmonis\u00e9es de la Direction des statistiques et des donn\u00e9es de l'OCDE concernant un certain nombre de variables cl\u00e9s, telles que la valeur ajout\u00e9e, l'exc\u00e9dent d'exploitation, l'emploi et le nombre d'unit\u00e9s commerciales. Les donn\u00e9es sont ventil\u00e9es par classe (niveau de 4 chiffres) de Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v.4) , ainsi que par classe de taille d'entreprise en fonction du nombre de personnes occup\u00e9es. Les donn\u00e9es couvrent les pays membres et partenaires de l'OCDE, les pays non membres de l'OCDE qui sont membres du Syst\u00e8me statistique europ\u00e9en qui fournissent les donn\u00e9es a Eurostat, ainsi que les pays participant aux initiatives r\u00e9gionales de l'OCDE."}], "structure:Structure": {"Ref": {"@id": "DSD_SDBSBSC_ISIC4@DF_SDBS_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,NBPARTNER", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T04,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T,PARTNER_COUNTRY=W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SIZE_CLASS:OECD.SDD.TPS:HCL_SIZECLASS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics (for API users)"}], "common:Description": [{"@xml:lang": "en", "#text": "International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. This dataset includes data from all ten TEC datasets and is primarily aimed at API users. Users interested in a particular breakdown can find the links to each table at the bottom of this page. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ce tableau r\u00e9unit les donn\u00e9es des dix tableaux TEC - elle est principalement destin\u00e9 aux utilisateurs de l'API. Les utilisateurs int\u00e9ress\u00e9s par une ventillation sp\u00e9cifique peuvent trouver les liens vers chaque tableau au bas de cette page. Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC01", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY,SIZE_CLASS", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,TOP_ENT,NBPARTNER,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T01,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T+S0T9+S10T49+S50T249+S_GE250+S0T249+_X,FLOW=X,ACTIVITY=_T,PARTNER_COUNTRY=EU00+WXEU00+W,MEASURE=ENTR_TEC,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SIZE_CLASS:OECD.SDD.TPS:HCL_SIZECLASS(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par activit\u00e9 economique et classe de taille"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by economic activity and size class"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 01) pr\u00e9sente une r\u00e9partition par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4) et par classe de taille d'emploi. La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 01) presents a breakdown by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4) and by employment size class. International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC02", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TOP_ENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,ACTIVITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,NBPARTNER,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T02,FREQ=A,LASTNPERIODS=4,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T+A_F_HTU+BTE+G,PARTNER_COUNTRY=EU00+WXEU00+W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par concentration de commerce (top entreprises) et activit\u00e9 economique"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by economic activity and concentration of trade (top enterprises)"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 02) pr\u00e9sente une r\u00e9partition par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4) et par concentration du commerce. La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 02) presents a breakdown by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4) and concentration of trade. International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC03", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "PARTNER_COUNTRY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,ACTIVITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,TOP_ENT,NBPARTNER,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T03,FREQ=A,LASTNPERIODS=4,SIZE_CLASS=S0T249+S0T9+S10T49+S50T249+S_GE250+_T+_X,FLOW=M+X+_T,ACTIVITY=_T+A_F_HTU+BTE+G,PARTNER_COUNTRY=_X+A_O+A2+A5+A7+A8+ALB+ARE+ARG+ARM+AUS+AUT+AZE+BEL+BGR+BHR+BHS+BIH+BLR+BOL+BRA+BRB+BWA+CAN+CHE+CHL+CHN+CIV+CMR+COD+COG+COL+CRI+CUB+CYP+CZE+DEU+DNK+DOM+DZA+E+E_O+ECU+EGY+ESP+EST+ETH+EU00+EU00_X+EU27+EU28+F+F_O+F4+F97+FIN+FJI+FRA+GAB+GBR+GEO+GHA+GIB+GRC+GRL+GTM+HKG+HND+HRV+HTI+HUN+IDN+IND+IRL+IRN+ISL+ISR+ITA+JAM+JOR+JPN+KAZ+KEN+KHM+KOR+LKA+LTU+LUX+LVA+MAR+MDA+MEX+MKD+MLT+MMR+MTQ+MUS+MYS+NGA+NIC+NLD+NOR+NZL+O_ATA+PAN+PER+PHL+PNG+POL+PRI+PRT+PRY+QAT+REU+ROU+RUS+RWA+S+S_O+SAU+SEN+SGP+SLV+SRB+SVK+SVN+SWE+SWZ+THA+TKM+TTO+TUN+TUR+TWN+TZA+UGA+UKR+URY+USA+UZB+VEN+VNM+W+W_CF+WXEU00+WXEU00_X+ZAF+ZMB+ZWE,REF_AREA=AUT", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par pays et groupes de pays partenaires"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by partner zones and countries"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 03) pr\u00e9sente une r\u00e9partition par pays et groupes de pays partenaires. La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 03) presents a breakdown by partner zones and countries. International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC04", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "FLOW,NBPARTNER", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY,TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T04,FREQ=A,LASTNPERIODS=4,MEASURE=ENTR_TEC,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T+A_F_HTU+BTE+G,PARTNER_COUNTRY=W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par nombre de pays partenaires et activit\u00e9"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by number of partner countries and activity"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 04) pr\u00e9sente une r\u00e9partition par nombre de pays partenaires et par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4). La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 04) presents a breakdown by partner countries and by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4). International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC05", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "FLOW,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,CPC", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T05,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=M,ACTIVITY=_T+A_F_HTU+A+A01+A02+A03+B+B05+B06+B07+B08+B09+BTE+C+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C20+C21+C22+C23+C24+C25+C26+C27+C28+C29+C30+C31+C32+C33+D+D35+E+E36+E37+E38+E39+F+F41+F42+F43+G+G45+G46+G47+H+H49+H50+H51+H52+H53+I_OTU+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+Q87+Q88+R+R91+R92+R93+S+S95+S96+T_U+U+U99,PARTNER_COUNTRY=EU00+WXEU00+W,REF_AREA=BEL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par cat\u00e9gories de biens (CPC)"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by commodity groups (CPC)"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 05) pr\u00e9sente une r\u00e9partition par cat\u00e9gories de biens (CPC) et par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4). La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 05) presents a breakdown by commodity groups (CPC) and by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4). International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC06", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY,TTRADER,FLOW", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T06,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=M+X+_T,ACTIVITY=_T+A+B+C+C10+C101+C102+C103+C104+C105+C106+C107+C108+C11+C12+C13+C131+C139+C14+C141+C142+C143+C15+C151+C152+C16+C161+C162+C17+C170+C18+C181+C182+C19+C191+C192+C20+C201+C202+C203+C21+C210+C22+C221+C222+C23+C231+C239+C24+C241+C242+C243+C25+C251+C252+C259+C26+C261+C262+C263+C264+C265+C266+C267+C268+C27+C271+C272+C273+C274+C275+C279+C28+C281+C282+C29+C291+C292+C293+C30+C301+C302+C303+C304+C309+C31+C32+C321+C322+C323+C324+C325+C329+C33+C331+C332+D+D35+D351+D352+D353+E+E36+E37+E38+E381+E382+E383+E39+F+G+G45+G451+G452+G453+G454+G46+G461+G462+G463+G464+G465+G466+G469+G47+G471+G472+G473+G474+G475+G476+G477+G478+G479+H+I+J+K+L+M+N+O+P+Q+R+S,PARTNER_COUNTRY=W,REF_AREA=DEU", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par type de commer\u00e7ant"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by type of trader"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 06) pr\u00e9sente une r\u00e9partition par type de commer\u00e7ant et par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4). La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 06) presents a breakdown by type of trader and by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4). International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC07", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,TOWNERSHIP", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FLOW,MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T07,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=X,MEASURE=TUTT_TEC,ACTIVITY=_T+A_F_HTU+A+A01+A02+A03+B+B05+B06+B07+B08+B09+BTE+C+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C20+C21+C22+C23+C24+C25+C26+C27+C28+C29+C30+C31+C32+C33+D+D35+E+E36+E37+E38+E39+F+F41+F42+F43+G+G45+G46+G47+H+H49+H50+H51+H52+H53+I+I_OTU+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+R+S,PARTNER_COUNTRY=W,REF_AREA=FIN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par contr\u00f4le (domestique ou \u00e9tranger)"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by ownership (domestic or foreign)"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 07) pr\u00e9sente une r\u00e9partition par contr\u00f4le (domestique ou \u00e9tranger) et par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4). La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 07) presents a breakdown by ownership (domestic or foreign) and by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4). International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC08", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY,EXPINT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,TOWNERSHIP,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T08,FREQ=A,LASTNPERIODS=4,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T+A_F_HTU+A+A01+A02+A03+B+B05+B06+B07+B08+B09+BTE+C+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C20+C21+C22+C23+C24+C25+C26+C27+C28+C29+C30+C31+C32+C33+D+D35+E+E36+E37+E38+E39+F+F41+F42+F43+G+G45+G46+G47+H+H49+H50+H51+H52+H53+I+I_OTU+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+R+S,PARTNER_COUNTRY=EU00+WXEU00+W,REF_AREA=FRA", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par intensit\u00e9 des exportations"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by exports intensity"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 08) pr\u00e9sente une r\u00e9partition par intensit\u00e9 des exportations et par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4). La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 08) presents a breakdown by exports intensity and by economic activity according to International Standard Industrial Classification, Revision 4 (ISIC Rev. 4). International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC09", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T09,FREQ=A,LASTNPERIODS=10,SIZE_CLASS=_T,MEASURE=ENTR_TUTT,FLOW=X,ACTIVITY=_T+A+A01+A02+A03+B+B05+B06+B07+B08+B09+C+C10+C101+C102+C103+C104+C105+C106+C107+C108+C11+C12+C13+C131+C139+C14+C141+C142+C143+C15+C151+C152+C16+C161+C162+C17+C170+C18+C181+C182+C19+C191+C192+C20+C201+C202+C203+C21+C210+C22+C221+C222+C23+C231+C239+C24+C241+C242+C243+C25+C251+C252+C259+C26+C261+C262+C263+C264+C265+C266+C267+C268+C27+C271+C272+C273+C274+C275+C279+C28+C281+C282+C29+C291+C292+C293+C30+C301+C302+C303+C304+C309+C31+C32+C321+C322+C323+C324+C325+C329+C33+C331+C332+D+D35+D351+D352+D353+E+E36+E37+E38+E381+E382+E383+E39+F+F41+F42+F43+G+G45+G451+G452+G453+G454+G46+G461+G462+G463+G464+G465+G466+G469+G47+G471+G472+G473+G474+G475+G476+G477+G478+G479+H+H49+H50+H51+H52+H53+I+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+Q86+Q87+Q88+R+R90+R91+R92+R93+S+S94+S95+S96+T+T97+T98+U+U99,PARTNER_COUNTRY=W,REF_AREA=NLD", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par secteur d'activit\u00e9"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by activity sectors"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 09) pr\u00e9sente une r\u00e9partition par activit\u00e9 \u00e9conomique selon la Classification internationale type par industrie, r\u00e9vision 4 (CITI R\u00e9v. 4) au niveau des groupes (3-chiffres). La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 09) presents a breakdown by economic activity at group- (3-digit) level of International Standard Industrial Classification, Revision 4 (ISIC Rev.4): ISIC Rev. 4. International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TEC_ISIC4@DF_TEC10", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "SIZE_CLASS", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,FLOW,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ,OBS_STATUS=A,TOP_ENT,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TABLE=T10,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T+S0T9+S10T49+S50T249+S_GE250+S0T249+_X,FLOW=M,ACTIVITY=_T,PARTNER_COUNTRY=W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises par pays partenaire et classe de taille"}, {"@xml:lang": "en", "#text": "Trade in goods by enterprise characteristics by partner countries and size-class"}], "common:Description": [{"@xml:lang": "fr", "#text": "Ce tableau (TEC 10) pr\u00e9sente une r\u00e9partition par par pays partenaire et classe de taille d'emploi. La base de donn\u00e9es Commerce international par caract\u00e9ristiques \u00e9conomiques des entreprises (TEC) vise \u00e0 combler cette lacune et contient des donn\u00e9es sur le commerce international annuel de marchandises ventil\u00e9es par diff\u00e9rentes cat\u00e9gories d'entreprises. Ces donn\u00e9es constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles r\u00e9pondent \u00e0 des questions telles que : qui sont les entreprises engag\u00e9es sur les march\u00e9s \u00e9trangers et quelles sont leurs caract\u00e9ristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 \u00c9tats membres de l'UE ainsi que le Canada, le Costa Rica, la Norv\u00e8ge, Isra\u00ebl, la Turquie, le Royaume Uni et les \u00c9tats-Unis. Les donn\u00e9es pour le Royaume-Uni n'ont pas \u00e9t\u00e9 mises \u00e0 jour depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2018, pour la Cor\u00e9e et le Mexique depuis l'ann\u00e9e de r\u00e9f\u00e9rence 2015. La base de donn\u00e9es se compose de dix ensembles de donn\u00e9es pr\u00e9sentant diverses combinaisons de ventilations par activit\u00e9 \u00e9conomique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commer\u00e7ants, type de propri\u00e9t\u00e9 (\u00e9trang\u00e8re vs. nationale), intensit\u00e9 des exportations. Les donn\u00e9es TEC sont collect\u00e9es en coop\u00e9ration avec Eurostat et directement aupr\u00e8s des instituts statistiques nationales (INS). Pour cr\u00e9er des donn\u00e9es TEC, les INS doivent attribuer les flux commerciaux \u00e0 des entreprises pr\u00e9sentant des caract\u00e9ristiques diff\u00e9rentes en fusionnant les donn\u00e9es sur le commerce international (g\u00e9n\u00e9ralement des donn\u00e9es douani\u00e8res) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.\u200b Ensembles de donn\u00e9es associ\u00e9: D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, D\u00e9mographie r\u00e9gionale des entreprises, Statistiques structurelles des entreprises par classe de taille, Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise."}, {"@xml:lang": "en", "#text": "This dataset (TEC 10) presents a breakdown by partner countries and size-class. International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade. The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015. The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity. TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Regional Business Demography, Structural Business Statistics by Size Class, Timely Indicators of Entrepreneurship by Enterprise Characteristics."}], "structure:Structure": {"Ref": {"@id": "DSD_TEC_ISIC4", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,LEGAL_FORM,TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=8,MEASURE=ENTRIES,SIZE_CLASS=_T,ACTIVITY=_T+BTSXO_S94+BTNXK,REF_AREA=AUS+AUT+BEL+BGR+CAN+HRV+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HUN+ISL+ITA+LTU+NLD+NOR+NZL+POL+PRT+SVN+SWE+TUR+USA+SGP", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise"}], "common:Description": [{"@xml:lang": "en", "#text": " Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators. Data are broken down whenever available by With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes. Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": " Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs. Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par \u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels. Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises. Donn\u00e9es associ\u00e9s D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_AUS", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D_E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T+_X,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,LEGAL_FORM=LL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Australia"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Australie"}], "common:Description": [{"@xml:lang": "en", "#text": " Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators. Data are broken down whenever available by With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes. Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics. This dataset presents timely indicators for Australia. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": " Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs. Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par \u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels. Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises. Ce tableau pr\u00e9sente les donn\u00e9es pour l'Australie. Donn\u00e9es associ\u00e9s D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_AUT", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+BTE+F+G+H+I+J+KTN+PTSX94+BTSXO_S94+BTF+GTN+BTN,REF_AREA=AUT", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_AUT(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Austria"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Autriche"}], "common:Description": [{"@xml:lang": "en", "#text": " Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators. Data are broken down whenever available by With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes. Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics. This dataset presents timely indicators for Austria. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": " Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs. Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par \u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels. Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises. Ce tableau pr\u00e9sente les donn\u00e9es pour l'Autriche. Donn\u00e9es associ\u00e9s D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_BEL", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+GTN+OTU+_X+_T,REF_AREA=BEL+BE1+BE2+BE3", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_BEL(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Belgium"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Belgique"}], "common:Description": [{"@xml:lang": "en", "#text": " Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators. Data are broken down whenever available by With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes. Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics. This dataset presents timely indicators for Belgium. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": " Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs. Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par \u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels. Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises. Ce tableau pr\u00e9sente les donn\u00e9es pour la B\u00e9lgique. Donn\u00e9es associ\u00e9s D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_BGR", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=BTE+BTF+BTN+BTSXO_S94+F+G+GTN+H+I+J+KTN+PTSX94,REF_AREA=BGR", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_BGR(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Bulgaria"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Bulgarie"}], "common:Description": [{"@xml:lang": "en", "#text": " Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators. Data are broken down whenever available by With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes. Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics. This dataset presents timely indicators for Bulgaria. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": " Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs. Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par \u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels. Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises. Ce tableau pr\u00e9sente les donn\u00e9es pour la Bulgarie. Donn\u00e9es associ\u00e9s D\u00e9mographie des entreprises employant des salari\u00e9s, D\u00e9mographie des entreprises, Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_CAN", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY,ADJUSTMENT", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D_E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T,REF_AREA=CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+CAN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Canada"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Canada"}], "common:Description": [{"@xml:lang": "en", "#text": " Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators. Data are broken down whenever available by With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes. Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics. This dataset presents timely indicators for Canada. Related datasets: Employer Business Demography Statistics, Business Demography Statistics, Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": " Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs. Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour Canada.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_CZE", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=BTSXO_S94+BTE+F+G+H+I+J+KTN+PTSX94+BTF+BTN+GTN,REF_AREA=CZE", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_CZE(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Czechia"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Tch\u00e9quie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Czechia.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour Tch\u00e9quie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_DEU", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S,REF_AREA=DE1+DE2+DE3+DE4+DE5+DE6+DE7+DE8+DE9+DEA+DEB+DEC+DED+DEE+DEF+DEG+DEU", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Germany"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Allemagne"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Germany.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour l'Allemagne.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_DNK", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+G+H+I+J+K+L+M_N+OTQ+R+_T+_X,REF_AREA=DK01+DK02+DK03+DK04+DK05+DNK", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Denmark"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Danemark"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Denmark.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour Danemark.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_ESP", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+A+B+C+D+E+BTE+F+GTN+G+H+I+J+K+L+M+N+O+P+Q+R+S+OTU,REF_AREA=ES11+ES12+ES13+ES21+ES22+ES23+ES24+ES30+ES41+ES42+ES43+ES51+ES52+ES53+ES61+ES62+ES63+ES64+ES70+ESP", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_ESP(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Spain"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Espagne"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Spain.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour l'Espagne.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_EST", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T,REF_AREA=EST", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Estonia"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Estonie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Estonia.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour l'Estonie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_FIN", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=FI19+FI1B+FI1C+FI1D+FI20+FIN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Finland"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Finlande"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Finland.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Finlande.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_FRA", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+G+H+I+J+K+L+M_N+OTQ+S+_T+BTNXK,REF_AREA=FR1+FRA+FRB+FRC+FRD+FRE+FRF+FRG+FRH+FRI+FRJ+FRK+FRL+FRM+FRY1+FRY2+FRY3+FRY4+FRY5", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_FRA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, France"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, France"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for France.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la France.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_GBR", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=GBR+UK1+UKM+UKN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, United Kingdom"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Royaume-Uni"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for the United Kingdom.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour le Royaume-Uni.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_GRC", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T+_X,REF_AREA=EL3+EL4+EL5+EL6+GRC", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Greece"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Gr\u00e8ce"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Greece.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Gr\u00e8ce.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_HRV", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+P+Q+R+BTE+GTN+ATSXO_S94,REF_AREA=HRV", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_HRV(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Croatia"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Croatie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Croatia.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Croatie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_HUN", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T+_X,REF_AREA=HUN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Hungary"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Hongrie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Hungary.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Hongrie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_ISL", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=ISL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Iceland"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Islande"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Iceland.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour l'Islande.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_ITA", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=6,SIZE_CLASS=_T,ACTIVITY=C+G,REF_AREA=ITI2+ITI3+ITF3+ITF4+ITI1+ITF2+ITF5+ITC1+ITG2+ITF1+ITF6+ITH2+ITH4+ITC3+ITA+ITC4+ITH5+ITC2+ITI4+ITH3+ITG1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Italy"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Italie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Italy.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour l'Italie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_LTU", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=LT01+LT02+LTU", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_LTU(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Lithuania"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Lituanie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Lithuania.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Lituanie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_NLD", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=NL11+NL12+NL13+NL21+NL22+NL23+NL31+NL32+NL33+NL34+NL41+NL42+NLD", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_NLD(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Netherlands"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Pays Bas"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Netherlands.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour les Pays Bas.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_NOR", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+GTN+O_STU+P_Q+_T+_X,REF_AREA=NOR", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_NOR(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Norway"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Norv\u00e8ge"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Norway.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Norv\u00e8ge.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_NZL", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T,REF_AREA=NZ11+NZ12+NZ13+NZ14+NZ15+NZ16+NZ17+NZ18+NZ19+NZ21+NZ22+NZ23+NZ24+NZ25+NZL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, New Zealand"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Nouvelle-Z\u00e9lande"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for New Zealand.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Nouvelle-Z\u00e9lande.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_POL", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=BTE+F+G+H+I+J+KTN+PTSX94+BTF+BTN+GTN,REF_AREA=POL", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_POL(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Poland"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Pologne"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Poland.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Pologne.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_PRT", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=6,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+P+Q+R+S+_T,REF_AREA=PRT+PT11+PT15+PT16+PT17+PT18+PT20+PT30+PT19+PT1A+PT1B+PT1C+PT1D", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_PRT(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Portugal"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Portugal"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Portugal.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour Portugal.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_SGP", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=C+F+G+H+I+J+K+L+M+N+_T+_X+GTN+M_N+P_Q+R_S+GTNXK,REF_AREA=SGP", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_SGP(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Singapore"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Singapour"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Singapore.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour Singapour.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_SVN", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T,REF_AREA=SVN", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Slovenia"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Slov\u00e9nie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Slovenia.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Slov\u00e9nie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_SWE", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,REF_AREA,LEGAL_FORM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=6,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+GTN+O_STU+P+Q+R+STU+_T+_X,REF_AREA=SE11+SE12+SE21+SE22+SE23+SE31+SE32+SE33+SWE", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_SWE(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, Sweden"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Su\u00e8de"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for Sweden.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Su\u00e8de.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_TUR", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=M,LASTNPERIODS=240,SIZE_CLASS=_T,ACTIVITY=_T,REF_AREA=TUR", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, T\u00fcrkiye"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, Turquie"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for T\u00fcrkiye.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour la Turquie.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIE@DF_TIE_USA", "@agencyID": "OECD.SDD.TPS", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,SIZE_CLASS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+B+C+F+G+H+I+J+K+BTE+BTF+BTN+D_E+GTN+GTU+M_N+P_Q+B_D_E+BTNXK+GTNXK,REF_AREA=US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56+USA+PRI+VIR", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_USA(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Timely indicators of entrepreneurship by enterprise characteristics, United States"}, {"@xml:lang": "fr", "#text": "Indicateurs rapides d\u2019entrepreneuriat par type d\u2019entreprise, \u00c9tats-Unis"}], "common:Description": [{"@xml:lang": "en", "#text": "
Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.
Data are broken down whenever available by
With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.
Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.
This dataset presents timely indicators for the United States.
Related datasets:
Employer Business Demography Statistics,
Business Demography Statistics,
Structural Business Statistics by Size Class."}, {"@xml:lang": "fr", "#text": "
Les indicateurs rapides de l'entrepreneuriat font d\u00e9sormais partie int\u00e9grante de l\u2019offre de statistiques d\u2019entreprises de la plupart des pays membres de l\u2019OCDE et au-del\u00e0. Il compl\u00e8te l'ensembles de donn\u00e9es annuelles plus compl\u00e8tes (par exemple, d\u00e9mographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limit\u00e9 d'indicateurs.
Les donn\u00e9es sont ventil\u00e9es d\u00e8s que possible par
\u00c0 de tr\u00e8s rares exceptions pr\u00e8s, les s\u00e9ries ne sont pas corrig\u00e9es des variations saisonni\u00e8res ou calendaires. Il convient donc d'\u00eatre prudent dans l'interpr\u00e9tation des changements infra-annuels.
Les indicateurs rapides de l'entrepreneuriat fournissent des informations pr\u00e9cieuses aux d\u00e9cideurs politiques et aux chercheurs sur les tendances les plus r\u00e9centes de la dynamique des entreprises.
Ce tableau pr\u00e9sente les donn\u00e9es pour les \u00c9tats-Unis.
Donn\u00e9es associ\u00e9s
D\u00e9mographie des entreprises employant des salari\u00e9s,
D\u00e9mographie des entreprises,
Statistiques structurelles des entreprises par classe de taille."}], "structure:Structure": {"Ref": {"@id": "DSD_TIE", "@version": "1.1", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_VC@DF_VC_INV", "@agencyID": "OECD.SDD.TPS", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "BUSINESS_DEVELOPMENT_STAGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=VC_INV_MKT,FREQ=A,UNIT_MULT=0,OBS_STATUS=A,CURRENCY=_Z+USD,DECIMALS", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=USD_EXC,TIME_PERIOD_START=2007", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "fr", "#text": "Investissements de capital-risque (statistiques de march\u00e9)"}, {"@xml:lang": "en", "#text": "Venture capital investments (market statistics)"}], "common:Description": [{"@xml:lang": "fr", "#text": "Dans la Base de données de l’OCDE sur le financement de l’entrepreneuriat, le capital risque correspond à la somme du capital risque investi au stade de développement initial (qui comprend le préamorçage, l’amorçage, le démarrage et les autres stades de développement initial) et au stade de développement ultérieur. Comme les diverses associations d’investisseurs de capital risque et autres fournisseurs de données n’utilisent pas de définition harmonisée des stades d’investissement du capital risque, les données d’origine ont été agrégées à nouveau de manière à correspondre à la classification du capital risque par stades de développement de l’OCDE. L’Afrique du Sud, la Corée, la Fédération de Russie et la Nouvelle Zélande ne fournissent pas de ventilations du capital risque par stade de développement qui permettraient de réaliser des comparaisons internationales valables.
Le tableau ci-joint présente les correspondances entre les données d’origine et les données harmonisées par l’OCDE de la ventilation du capital risque par stade de développement.
https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2aa27890-769e-4f10-843a-a654c5e7b24e
Le capital risque est une forme de capital investissement particulièrement importante pour les jeunes entreprises présentant un potentiel d’innovation et de croissance, mais dont le modèle économique n’a pas encore fait ses preuves et qui n’ont pas d’historique d’activité ; il remplace ou complète les financements bancaires classiques. Le développement de cette forme de financement est considéré comme une condition cadre importante pour stimuler l’entrepreneuriat innovant. Les données agrégées sur le capital-risque fournissent des informations utiles sur l'évolution du secteur du capital-risque.
Ces données sont généralement compilées par des associations nationales et régionales de capital-investissement et de capital-risque, souvent avec le concours de fournisseurs de données sur les entreprises. La qualité et la disponibilité de données agrégées sur le capital-risque se sont considérablement améliorées ces dernières années ; il demeure difficile, cependant, de réaliser des comparaisons internationales du fait de deux problèmes principaux.
La première difficulté tient à l’absence de définition internationale normalisée du capital-risque. Si tout le monde comprend de quoi il s’agit, la définition des types d’investissements inclus dans le capital-risque varie d’un pays et d’une région à l’autre. Dans certains cas, les différences sont purement linguistiques ; dans d’autres, elles sont plus profondes.
Le second problème a trait à la diversité des méthodes employées par ceux qui compilent les données. C’est la manière dont les données sont collectées qui détermine si les statistiques sur le capital-risque donneront une image complète et représentative de ce secteur dans un pays donné.
Les unités utilisées sont :
Millions de dollars des E-U; part du PIB.
Contact pour les statistiques de l'OCDE : stat.contact@oecd.org"}, {"@xml:lang": "en", "#text": "In the OECD Entrepreneurship Financing Database, venture capital is made up of the sum of early stage (including pre-seed, seed, start-up and other early stage) and later stage venture capital. As there are no harmonised definitions of venture capital stages across venture capital associations and other data providers, original data have been re-aggregated to fit the OECD classification of venture capital by stages. Korea, New Zealand, the Russian Federation and South Africa do not provide breakdowns of venture capital by stage that would allow meaningful international comparisons.
The attached table shows the correspondences between original data and OECD harmonised data for venture capital investments by stage.
https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2aa27890-769e-4f10-843a-a654c5e7b24e
Venture capital is a form of equity financing particularly relevant for young companies with innovation and growth potential but untested business models and no track record; it replaces or complements traditional bank finance. The development of the venture capital industry is considered an important framework condition to stimulate innovative entrepreneurship. Aggregate data on venture capital provide useful information on trends in the venture capital industry.
These data are typically compiled by national or regional Private Equity and Venture Capital Associations, often with the support of commercial data providers. The quality and availability of aggregate data on venture capital have improved considerably in recent years; international comparisons, however, remain complicated because of two main problems.
The first difficulty comes from the lack of a standard international definition of venture capital. While there is a general understanding, the definition of the types of investments included in venture capital varies across countries and regions. In some cases, differences are purely linguistic; in others, they are more substantive. The second problem relates to the diverse methodologies employed by data compilers. The completeness and representativeness of venture capital statistics with respect to the venture capital industry of a country will differ depending on how data were collected.
The units used are : Millions of US Dollars and share of GDP.
OECD statistics contact: stat.contact@oecd.org"}], "structure:Structure": {"Ref": {"@id": "DSD_VC", "@version": "1.0", "@agencyID": "OECD.SDD.TPS", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BB_DATABASE@DF_BB_TEL_DATABASE", "@agencyID": "OECD.STI.DEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=Q,MEASURE=ALL", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "9000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Broadband and telecom databases"}, {"@xml:lang": "fr", "#text": "Bases de donn\u00e9es haut d\u00e9bit et t\u00e9l\u00e9coms"}], "structure:Structure": {"Ref": {"@id": "DSD_BB_DATABASE", "@version": "1.0", "@agencyID": "OECD.STI.DEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DEO_1@DF_DEO_1", "@agencyID": "OECD.STI.DEP", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": [{"@xml:lang": "en", "#text": "DEO part 1"}, {"@xml:lang": "fr", "#text": "DEO partie 1"}], "structure:Structure": {"Ref": {"@id": "DSD_DEO_1", "@version": "1.0", "@agencyID": "OECD.STI.DEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DEO_2@DF_DEO_2", "@agencyID": "OECD.STI.DEP", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": [{"@xml:lang": "en", "#text": "DEO part 2"}, {"@xml:lang": "fr", "#text": "DEO partie 2"}], "structure:Structure": {"Ref": {"@id": "DSD_DEO_2", "@version": "1.0", "@agencyID": "OECD.STI.DEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_DEO_3@DF_DEO_3", "@agencyID": "OECD.STI.DEP", "@version": "1.0", "@isFinal": "false", "common:Annotations": {"common:Annotation": {"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}}, "common:Name": [{"@xml:lang": "en", "#text": "DEO part 3"}, {"@xml:lang": "fr", "#text": "DEO partie 3"}], "structure:Structure": {"Ref": {"@id": "DSD_DEO_3", "@version": "1.0", "@agencyID": "OECD.STI.DEP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_ICT_B@DF_BUSINESSES", "@agencyID": "OECD.STI.DEP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "TIME_HORIZON_USE,OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,FREQ=A,OBS_STATUS=A,BREAKDOWN_V7,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SIZE_CLASS=S_GE10+S_GE100,ACTIVITY=_T,MEASURE=B1_B,TIME_PERIOD_START=2012", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SIZE_CLASS:OECD.STI.DEP:HCL_SIZECLASS(1.0).H,ACTIVITY:OECD.STI.DEP:HCL_ACTIVITY_ISIC4(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "ICT Access and Usage by Businesses"}, {"@xml:lang": "fr", "#text": "Acc\u00e8s et utilisation des TIC par les entreprises"}], "common:Description": {"@xml:lang": "en", "#text": "
The ICT Access and Usage by Businesses database provides a selection of 59 indicators, based on the 2nd revision of the OECD Model Survey on ICT Access and Usage by Businesses.
\n\n
The selected indicators originate from two sources:
\n
1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Colombia, Japan, Korea, Mexico, New Zealand, Switzerland and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.
2. Eurostat Statistics on Businesses for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the correspondence table-. Please refer to Eurostat methodology to access the methodological information.
For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.
The ICT Access and Usage by Households and Individuals database provides a selection of 106 indicators, based on the of 2nd revision of the OECD Model Survey on ICT Access and Usage by Households and Individuals.
\nThis dataset relates to Households. For Individuals, please refer to ICT Access and Usage by Individuals. In each of the datasets, only a limited combination of breakdowns is available.
\n
The selected indicators originate from two sources:
1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Costa Rica, Chile, Colombia, Israel, Japan, Korea, Mexico, New Zealand, Switzerland, and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.
2. Eurostat Statistics on Households and Individuals for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the correspondence table-. Please refer to Eurostat methodology to access the methodological information.
For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.
The ICT Access and Usage by Households and Individuals database provides a selection of 106 indicators, based on the of 2nd revision of the OECD Model Survey on ICT Access and Usage by Households and Individuals.
\nThis dataset relates to Individuals. For Households, please refer to ICT Access and Usage by Households. In each of the datasets, only a limited combination of breakdowns is available.
\n
The selected indicators originate from two sources:
1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Costa Rica, Chile, Colombia, Israel, Japan, Korea, Mexico, New Zealand, Switzerland, and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.
2. Eurostat Statistics on Households and Individuals for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the correspondence table-. Please refer to Eurostat methodology to access the methodological information.
For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.
\u2022 TiVA 2023 Indicators Guide \u2022 TIVA 2023 structure and coverage"}, {"@xml:lang": "fr", "#text": "L'Origine du contenu en valeur ajout\u00e9e des exportations brutes est \u00e9tablie \u00e0 partir des Tableaux internationaux des entr\u00e9es-sorties (TIES) de l'OCDE. Les estimations du total des exportations brutes sont ventil\u00e9es selon \u2022 les branches d'activit\u00e9 i de \u2022 chaque pays c et selon \u2022 l'origine sectorielle j et \u2022 g\u00e9ographique s de la valeur ajout\u00e9e. Cet indicateur illustre le fait qu'un territoire, en exportant des produits interm\u00e9diaires et finals, exporte en r\u00e9alit\u00e9 une accumulation de valeur produite par une multiplicit\u00e9 de branches situ\u00e9es dans plusieurs pays. Lorsque l'origine g\u00e9ographique s de la valeur ajout\u00e9e et le pays exportateur c sont identiques, cela revient \u00e0 consid\u00e9rer l'origine de la valeur ajout\u00e9e locale ; ce qui correspond simplement au code \"D: Domestique\" de la dimension origine g\u00e9ographique.
\u2022 TiVA 2023 Guide sur les Indicateurs \u2022 TIVA 2023 Structure et couverture"}]}, {"@id": "DSD_TIVA_FDVA@DF_FDVA", "@agencyID": "OECD.STI.PIE", "@version": "1.0", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/sti-public/rest/dataflow/OECD.STI.PIE/DSD_TIVA_FDVA@DF_FDVA/1.0", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "VALUE_ADDED_SOURCE_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "VALUE_ADDED_SOURCE_ACTIVITY=_T,FINAL_DEMAND_AREA=W,FINAL_DEMAND_ACTIVITY=_T,TIME_PERIOD_START=2015", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "VALUE_ADDED_SOURCE_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H,FINAL_DEMAND_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,FINAL_DEMAND_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trade in Value Added (TiVA) 2023 edition: Origin of value added in final demand"}, {"@xml:lang": "fr", "#text": "\u00c9changes en Valeur Ajout\u00e9e (TiVA) \u00e9dition 2023: Origine du contenu en valeur ajout\u00e9e de la demande finale"}], "common:Description": [{"@xml:lang": "en", "#text": "The Origin of value added in final demand is derived from the OECD\u2019s Inter-Country Input-Output (ICIO) database and provides estimates of final demand in \u2022 country c for \u2022 industry i final goods and services, broken down by the value added originating from \u2022 source industry j in \u2022 source country s. In other words, it reveals how the value of final demand goods and services consumed within a country is an accumulation of value generated by many industries in many countries. Domestic value added origin is shown where source country s = c and, for convenience, also represented by source country = \u201cD: Domestic\u201d.
\u2022 TiVA 2023 Indicators Guide \u2022 TIVA 2023 structure and coverage"}, {"@xml:lang": "fr", "#text": "L'Origine du contenu en valeur ajout\u00e9e de la demande finale est \u00e9tablie \u00e0 partir des Tableaux internationaux des entr\u00e9es-sorties (TIES) de l'OCDE et fournit des estimations de la demande finale \u2022 du pays c pour les biens et services finals de \u2022 la branche d'activit\u00e9 i, ventil\u00e9e selon l'origine \u2022 sectorielle j et \u2022 g\u00e9ographique s de la valeur ajout\u00e9e. Cet indicateur illustre le fait qu'un territoire, pour satisfaire sa demande finale en biens et services, consomme en r\u00e9alit\u00e9 une accumulation de valeur provenant de multiples origines g\u00e9ographiques et sectorielles. Lorsque l'origine g\u00e9ographique s de la valeur ajout\u00e9e et le pays de la demande finale c sont identiques, cela revient \u00e0 consid\u00e9rer le contenu en valeur ajout\u00e9e locale ; ce qui correspond simplement au code \"D: Domestique\" de la dimension origine g\u00e9ographique.
\u2022 TiVA 2023 Guide sur les Indicateurs \u2022 TIVA 2023 Structure et couverture"}]}, {"@id": "DSD_TIVA_IMGRVA@DF_IMGRVA", "@agencyID": "OECD.STI.PIE", "@version": "1.0", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/sti-public/rest/dataflow/OECD.STI.PIE/DSD_TIVA_IMGRVA@DF_IMGRVA/1.0", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "VALUE_ADDED_SOURCE_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "IMPORTING_AREA=OECD,EXPORTING_AREA=W,EXPORTING_ACTIVITY=_T,TIME_PERIOD_START=2015", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "IMPORTING_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H,EXPORTING_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,EXPORTING_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trade in Value Added (TiVA) 2023 edition: Origin of value added in gross imports"}, {"@xml:lang": "fr", "#text": "\u00c9changes en Valeur Ajout\u00e9e (TiVA) \u00e9dition 2023: Origine du contenu en valeur ajout\u00e9e des importations brutes"}], "common:Description": [{"@xml:lang": "en", "#text": "The Origin of value added in gross imports is derived from the OECD\u2019s Inter-Country Input-Output (ICIO) database and provides estimates of gross imports \u2022 by country c of goods and services \u2022 from industry i \u2022 in partner country / region p \u2022 broken down by value added originating from source country / region s.
\u2022 TiVA 2023 Indicators Guide \u2022 TIVA 2023 structure and coverage"}, {"@xml:lang": "fr", "#text": "L'Origine du contenu en valeur ajout\u00e9e des importations brutes est calcul\u00e9e \u00e0 partir des Tableaux internationaux des entr\u00e9es-sorties (TIES) de l'OCDE et permet d'estimer : \u2022 pour chaque pays importateur c , la valeur de ses importations brutes de biens et services \u2022 ventil\u00e9es selon les branches d'activit\u00e9 exportatrices i (i.e. origine sectorielle des produits import\u00e9s) \u2022 des \u00e9conomies partenaires p (i.e. origine g\u00e9ographique des produits import\u00e9s) \u2022 et selon l'origine g\u00e9ographique s (i.e. pays / r\u00e9gion) de la valeur ajout\u00e9e.
\u2022 TiVA 2023 Guide sur les Indicateurs \u2022 TIVA 2023 Structure et couverture"}]}, {"@id": "DSD_TIVA_MAINLV@DF_MAINLV", "@agencyID": "OECD.STI.PIE", "@version": "1.0", "@isExternalReference": "true", "@isFinal": "true", "@structureURL": "https://sdmx.oecd.org/sti-public/rest/dataflow/OECD.STI.PIE/DSD_TIVA_MAINLV@DF_MAINLV/1.0", "common:Annotations": {"common:Annotation": [{"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=FFD_DVA,REF_AREA=AUS,COUNTERPART_AREA=W,TIME_PERIOD_START=2015", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "UNIT_MEASURE=USD", "common:AnnotationType": "UNIT_MEASURE_CONCEPTS"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,COUNTERPART_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "0.95", "common:AnnotationType": "SEARCH_WEIGHT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Trade in Value Added (TiVA) 2023 edition: Principal Indicators"}, {"@xml:lang": "fr", "#text": "\u00c9changes en Valeur Ajout\u00e9e (TiVA) \u00e9dition 2023: Principaux indicateurs"}], "common:Description": [{"@xml:lang": "en", "#text": "The Trade in Value Added (TiVA) database is a collection of measures that can provide insights into global production networks and supply chains beyond what is possible with conventional trade statistics.TiVA Principal indicators track the origins of value added in exports, imports and final demand.
\u2022 TiVA 2023 Indicators Guide \u2022 TIVA 2023 structure and coverage
\u2022 TiVA 2023 Guide sur les Indicateurs \u2022 TIVA 2023 Structure et couverture
\u2022 TiVA 2023 Indicators Guide \u2022 TIVA 2023 structure and coverage
\u2022 TiVA 2023 Guide sur les Indicateurs \u2022 TIVA 2023 Structure et couverture
The following dataset presents seven bibliometric indicators by fields of science for the 2008-2022 period. The dataset covers OECD member and accession countries, key partners (including Brazil, China, India, Indonesia and South Africa) and other selected non-OECD countries.
The indicators are:
1. Scientific publications, fractional counts.
2. The percentage of corresponding/leading author documents.
3. The percentage of scientific publications involving international collaboration.
4. The number of top 10% most cited scientific publications, fractional counts.
5. Percentage of scientific publications among the world's 10% top-cited publications. The world average is 10% for the period.
6. The normalised citation impact score is the ratio of actual versus expected publications, shown as a percentage. The world average is 100.
7. The specialisation index relative to world of scientific publications measures relative specialisation. The world average is 1.
For more information on the calculations see the dataset documentation.
Source: OECD calculations based on Scopus Custom Data, Elsevier, Version 1.2024; and Scimago Journal Rankings, April 2024."}, "structure:Structure": {"Ref": {"@id": "DSD_BIBLIO", "@version": "1.1", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BIBLIO@DF_BIBLIO_COLLAB", "@agencyID": "OECD.STI.STP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,REF_AREA=WXOECD,COUNTERPART_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA=AUS+CAN+FRA+DEU+ITA+JPN+KOR+ESP+GBR+USA+EU27+BRA+CHN+IND,MEASURE=COLLAB,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "7000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Bibliometric indicators of international collaboration"}, {"@xml:lang": "fr", "#text": "Indicateurs bibliom\u00e9triques de la collaboration internationale"}], "common:Description": {"@xml:lang": "en", "#text": "
This dataset presents trends in international collaboration calculated using Elsevier's Scopus Custom Data, Elsevier, Version 1.2024.
International collaboration refers to publications co-authored among institutions in different countries. Estimates are computed for each country by counting documents for which the set of listed affiliations includes at least one address within the country and one outside.
Data are based on the main country affiliation for authors captured in at least two documents published and indexed in the Scopus database over the 2008-2022 period.
A threshold has been set and only 10 or more collaborations are presented. Publications refer to citable publications only (articles, reviews and conference proceedings).
Publications are attributed to countries on the basis of the authors' institutional affiliations. Whole counts gives equal weight of one to each of the documents authoring units.
Bilateral international collaboration intensity, normalised based on whole counts. The indicator of bilateral collaboration intensity between two economies is calculated by dividing the number of scientific publications by authors with affiliations in both economies (whole counts) by the square root of the product of the publications for each of the two economies (whole counts). This indicator is therefore normalised for publication output."}, "structure:Structure": {"Ref": {"@id": "DSD_BIBLIO", "@version": "1.1", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_BIBLIO_F@DF_BIBLIO_F", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ORIGIN", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "DESTINATION", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,ORIGIN=WXOECD,DESTINATION=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DESTINATION=AUS+CAN+FRA+DEU+ITA+JPN+KOR+ESP+GBR+USA+EU27+BRA+CHN+IND", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"common:AnnotationTitle": "7000", "common:AnnotationType": "MAX_TABLE_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Bibliometric indicators of implied bilateral mobility flows"}, {"@xml:lang": "fr", "#text": "Indicateurs bibliom\u00e9triques des flux de mobilit\u00e9 bilat\u00e9raux implicites"}], "common:Description": {"@xml:lang": "en", "#text": "
This dataset presents bilateral flows calculated by OECD using Elsevier's Scopus Custom Data, Elsevier, Version 1.2024.
Using the term ‘country’ for economy of language to refer to the jurisdictions or territorial entities indexed by Elsevier for authors’ affiliations, data are based on the main country affiliation for authors captured in at least two documents published and indexed in the Scopus database over the 2008-2022 period.
Counts are based on the number of authors with distinct country affiliations in their first and last recorded publication within this period. Flows to and from interim affiliations are not taken into account in this figure.
In the case of multiple country affiliations (approximately 2 percent of documents), the most recurrent country (modal) affiliation for that author has been used. Values under the threshold of 10 flows have been suppressed in the published database."}, "structure:Structure": {"Ref": {"@id": "DSD_BIBLIO_F", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_COMPASS@DF_COMPASS_REITER", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,LOCATION=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,VAR=ADTERPOP_XT", "common:AnnotationType": "DEFAULT"}]}, "common:Name": {"@xml:lang": "en", "#text": "REITER.Stat"}, "structure:Structure": {"Ref": {"@id": "DSD_COMPASS", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_COMPASS_KEY@DF_COMPASS_KEY", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,LOCATION=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,VAR=G_XGDP", "common:AnnotationType": "DEFAULT"}]}, "common:Name": {"@xml:lang": "en", "#text": "COMPASS Key Indicators"}, "structure:Structure": {"Ref": {"@id": "DSD_COMPASS_KEY", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_MSTI@DF_MSTI", "@agencyID": "OECD.STI.STP", "@version": "1.3", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "PRICE_BASE=_Z,TRANSFORMATION=_Z,UNIT_MULT=0,PRICES=_Z,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=G+T_RS", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,TRANSFORMATION,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "All MSTI tables in Excel|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4a027aba-85c3-46c2-a974-524ed1fe1567"}, {"@xml:lang": "fr", "#text": "Toutes les tables PIST en Excel|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4a027aba-85c3-46c2-a974-524ed1fe1567"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Main Science and Technology Indicators (MSTI database)"}, {"@xml:lang": "fr", "#text": "Principaux Indicateurs de la Science et de la Technologie (Base de donn\u00e9es PIST)"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Main Science and Technology Indicators (MSTI) provide a set of indicators that compare the Science and Technology (S&T) performance of OECD member countries and selected non-member economies. The MSTI database focuses principally on tracking financial and human resources devoted to research and experimental development (R&D), as defined in the OECD Frascati Manual, complemented by additional indicators of outputs and potential outcomes of S&T activities, namely patent data and international trade in R&D-intensive industries. MSTI also comprises several OECD economic and demographic statistical series which are used to calculate relevant benchmarks that account for differences in the relative size of economies, purchasing power and the effect of inflation."}, {"@xml:lang": "fr", "#text": "Les Principaux Indicateurs de la Science et de la Technologie (PIST) de l'OCDE fournissent un ensemble d\u2019indicateurs pour comparer les performances en mati\u00e8re de Science et de Technologie (S&T) des pays membres de l'OCDE et de certaines \u00e9conomies non-membres. La base de donn\u00e9es PIST se concentre principalement sur le suivi des ressources financi\u00e8res et humaines consacr\u00e9es \u00e0 la recherche et au d\u00e9veloppement exp\u00e9rimental (R-D), telles que d\u00e9finies dans le Manuel de Frascati de l'OCDE. Elle est compl\u00e9t\u00e9e par des indicateurs sur les r\u00e9sultats des activit\u00e9s scientifiques et technologiques, \u00e0 savoir des indicateurs sur les brevets et sur le commerce international dans les industries \u00e0 forte intensit\u00e9 de R-D. La base PIST comprend \u00e9galement des s\u00e9ries \u00e9conomiques et d\u00e9mographiques de l'OCDE servant \u00e0 produire des indicateurs ajust\u00e9s qui tiennent compte des diff\u00e9rences de taille, de pouvoir d'achat et de prix entre \u00e9conomies."}], "structure:Structure": {"Ref": {"@id": "DSD_MSTI", "@version": "1.3", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_BERD@DF_BERD_INDU", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,CRITERIA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,REF_AREA=AUS,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Business enterprise R&D expenditure by industry"}, {"@xml:lang": "fr", "#text": "D\u00e9penses intra-muros totale de R-D des entreprises par industrie"}], "common:Description": [{"@xml:lang": "en", "#text": "
This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D) ex\u00e9cut\u00e9es dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI) r\u00e9vision 4."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_BERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_BERD@DF_BERD_MA_SOF", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,SECT_FUND", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,CRITERIA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,REF_AREA=AUS,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Business enterprise R&D expenditure by main activity (focussed) and source of funds"}, {"@xml:lang": "fr", "#text": "D\u00e9penses intra-muros totale de R-D des entreprises par industrie et par source de financement"}], "common:Description": [{"@xml:lang": "en", "#text": "This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4. and by source of funds (business enterprise, government, other national funds, and funds from the rest of the world).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D) ex\u00e9cut\u00e9es dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI) r\u00e9vision 4. et par source de financement (entreprises, l'\u00c9tat, autres sources nationales, et fonds du reste du monde)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_BERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_BERD@DF_BERD_MA_TOE", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD,TYPE_COST", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,CRITERIA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,REF_AREA=AUS,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Business enterprise R&D expenditure by main activity (focussed) and type of expenditure"}, {"@xml:lang": "fr", "#text": "D\u00e9penses intra-muros totale de R-D des entreprises par industrie et par type de d\u00e9pense"}], "common:Description": [{"@xml:lang": "en", "#text": "This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4. and by type of expenditure (current expenditure, capital expenditure).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D) ex\u00e9cut\u00e9es dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI r\u00e9vision 4) et par type de d\u00e9penses (d\u00e9penses courantes et d\u00e9penses en capital)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_BERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_BERD@DF_BERD_SOF_SIZE", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_FUND, SIZE_CLASS,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,REF_AREA=AUT,UNIT_MEASURE=XDC,SECT_PERF=BES", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Business enterprise R&D expenditure by size class and by source of funds"}, {"@xml:lang": "fr", "#text": "D\u00e9penses intra-muros totale de R-D des entreprises par source de financement et nombre de personnes employ\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector. Data include total business enterprise intramural expenditure on R&D by size class and source of funds.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D) ex\u00e9cut\u00e9es dans le secteur des entreprises. Les donn\u00e9es incluent des d\u00e9penses intra-muros de R-D du secteur des entreprises par taille d'entreprise et source de financement."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_BERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_GERD@DF_GERD_FORD", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF, FORD,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,FORD=_T,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross domestic expenditure on R&D by sector of performance and field of R&D"}, {"@xml:lang": "fr", "#text": "D\u00e9penses int\u00e9rieures brutes de R-D par secteur d'ex\u00e9cution et par domaine de R-D"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains research and development (R&D) expenditure statistics on gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by field of research (natural sciences, engineering and technology, medical and health sciences, agricultural and veterinary sciences, social sciences, and humanities and the arts).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D) . Les donn\u00e9es incluent des d\u00e9penses int\u00e9rieures brutes de R-D par secteur d'ex\u00e9cution (entreprises, \u00c9tat, enseignement sup\u00e9rieur, institutions sans but lucratif, et total intra-muros) et par discipline scientifique (sciences naturelles, ing\u00e9nierie et technologie, sciences m\u00e9dicales et sciences de la sant\u00e9, sciences agricoles et v\u00e9t\u00e9rinaires, sciences sociales et sciences humaines et arts)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_GERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_GERD@DF_GERD_SEO", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF, SEO,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,SEO=_T,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross domestic expenditure on R&D by sector of performance and socio-economic objectives"}, {"@xml:lang": "fr", "#text": "D\u00e9penses int\u00e9rieures brutes de R-D par secteur d'ex\u00e9cution et par objectif socio-\u00e9conomique"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains data on Gross domestic expenditure on R&D (GERD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge, and Defence.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les donn\u00e9es sur les D\u00e9penses int\u00e9rieures brutes de R-D (DIRD) par objectif socio-\u00e9conomique selon la classification NABS 2007, c'est \u00e0 dire: Exploration et exploitation du milieu terrestre, Environnement, Exploration et exploitation de l'espace, Transports, t\u00e9l\u00e9communications et autres infrastructures, \u00c9nergie, Production et technologie industrielles, Sant\u00e9 publique, Agriculture, Enseignement, Culture, activit\u00e9s de loisirs, r\u00e9ligion et m\u00e9dias, Organisation et structure politique et sociale, Progr\u00e8s g\u00e9n\u00e9ral des connaissances, et D\u00e9fense."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_GERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_GERD@DF_GERD_SOF", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF, SECT_FUND,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,SECT_FUND=_T,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross domestic expenditure on R&D by sector of performance and source of funds"}, {"@xml:lang": "fr", "#text": "D\u00e9penses int\u00e9rieures brutes de R-D par secteur d'ex\u00e9cution et par source de financement"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains gross research and development (R&D) expenditure statistics broken down by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by source of funds (business enterprise, government - including public general university funds -, higher education, private non-profit and funds from the rest of the World - including funds from enterprises and other funds from the rest of the World).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D). Les donn\u00e9es incluent des d\u00e9penses int\u00e9rieures brutes de R-D par secteur d\u2019ex\u00e9cution (entreprises, \u00c9tat, enseignement sup\u00e9rieur, institutions sans but lucratif, et total intra-muros) et par source de financement (entreprises, \u00c9tat - y compris les fonds g\u00e9n\u00e9raux des universit\u00e9s d\u2019origine publique -, enseignement sup\u00e9rieur, institutions sans but lucratif, et fonds du reste du monde - y compris les fonds provenant des entreprises et autres fonds du reste du monde)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_GERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_GERD@DF_GERD_TOE", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF, TYPE_COST,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,TYPE_COST=_T,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross domestic expenditure on R&D by sector of performance and type of expenditure"}, {"@xml:lang": "fr", "#text": "D\u00e9penses int\u00e9rieures brutes de R-D par secteur d'ex\u00e9cution et par type de d\u00e9penses"}], "common:Description": [{"@xml:lang": "en", "#text": "This table presents research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of expenditure (current expenditure, capital expenditure and their respective breakdowns).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D). Les donn\u00e9es incluent des d\u00e9penses int\u00e9rieures brutes de R-D par secteur d\u2019ex\u00e9cution (entreprises, \u00c9tat, enseignement sup\u00e9rieur, institutions sans but lucratif, et total intra-muros) et par type de d\u00e9penses (d\u00e9penses courantes, en capital et leurs ventilations respectives)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_GERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_GERD@DF_GERD_TORD", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF, TYPE_RD,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,TYPE_RD=_T,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Gross domestic expenditure on R&D by sector of performance and type of R&D"}, {"@xml:lang": "fr", "#text": "D\u00e9penses de R-D par secteur d'ex\u00e9cution et par type de R-D"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains gross domestic R&D expenditures by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of R&D (basic research, applied research, experimental development, capital expenditure not elsewhere classified).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques de d\u00e9penses intra-muros de recherche et d\u00e9veloppement (R-D) . Les donn\u00e9es incluent les d\u00e9penses int\u00e9rieures brutes de R-D par secteur d'ex\u00e9cution (les entreprises, l'\u00c9tat, l'enseignement sup\u00e9rieur, les institutions sans but lucratif, et total intra-muros) et par type de R-D (recherche fondamentale, recherche appliqu\u00e9e, d\u00e9veloppement exp\u00e9rimentale, non sp\u00e9cifi\u00e9)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_GERD", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_GOV@DF_GBARD_NABS07", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SEO,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=EXP,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SEO=_T,UNIT_MEASURE=XDC", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Government budget allocations for R&D"}, {"@xml:lang": "fr", "#text": "Cr\u00e9dits budg\u00e9taires publics de R-D"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains data on Government budget allocations for R&D (GBARD) by socio-economic objective (SEO), using the NABS 2007 classification
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente les donn\u00e9es sur les cr\u00e9dits budg\u00e9taires publics de R-D (CBPRD) par objectif socio-\u00e9conomique selon la classification NABS 2007, c'est \u00e0 dire: Exploration et exploitation du milieu terrestre, Environnement, Exploration et exploitation de l'espace, Transports, t\u00e9l\u00e9communications et autres infrastructures, \u00c9nergie, Production et technologie industrielles, Sant\u00e9 publique, Agriculture, Enseignement, Culture, activit\u00e9s de loisirs, r\u00e9ligion et m\u00e9dias, Organisation et structure politique et sociale, Progr\u00e8s g\u00e9n\u00e9ral des connaissances: activit\u00e9s de R-D financ\u00e9es par les Fonds g\u00e9n\u00e9raux des universit\u00e9s (FGU), Progr\u00e8s g\u00e9n\u00e9ral des connaissances: activit\u00e9s de R-D financ\u00e9es par d\u2019autres sources que les FGU, D\u00e9fense."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_GOV", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_PERS@DF_PERS_FORD", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF,GENDER,EMP_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,FUNCTION=RSE,FORD=_T,SEX=_T,UNIT_MEASURE=PS_FTE", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "R&D personel by sector of performance and major field of R&D"}, {"@xml:lang": "fr", "#text": "Personnel de R-D par secteur d'emploi et domaine scientifique"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains research and development (R&D) personnel statistics. Number of R&D personnel is provided in both headcounts and full-time equivalent on R&D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by field of research (natural sciences, engineering and technology, medical and health sciences, agricultural and veterinary sciences, social sciences, and humanities and the arts).
"}, {"@xml:lang": "fr", "#text": "Ce tableaux pr\u00e9sente des statistiques sur le personnel de recherche et d\u00e9veloppement (R-D). Il fournit le nombre du personnel de R-D, par sexe, par secteur d'emploi et par domaine de R-D, en \u00e9quivalence plein temps \u00e0 des travaux de R-D (EPT) si disponible, ou en personnes physiques dans le cas contraire."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_PERS", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_PERS@DF_PERS_FUNC", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF,FUNCTION,GENDER,EMP_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,FUNCTION=_T,SEX=_T,UNIT_MEASURE=PS_FTE", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "R&D personnel by sector of performance and function"}, {"@xml:lang": "fr", "#text": "Personnel de R-D par secteur d'emploi et profession"}], "common:Description": [{"@xml:lang": "en", "#text": "This table contains research and development (R&D) personnel statistics. Number of R&D personnel is provided in both headcounts and full-time equivalent on R&D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by function (researchers, technicians and other support staff).
"}, {"@xml:lang": "fr", "#text": "Ce tableaux pr\u00e9sente des statistiques sur le personnel de recherche et d\u00e9veloppement (R-D). Il fournit le nombre, mesur\u00e9 en personnes physiques et en \u00e9quivalence plein temps \u00e0 des activit\u00e9s de R-D, du personnel de R-D par sexe, par secteur d'emploi (entreprises, \u00c9tat, enseignement sup\u00e9rieur, institutions sans but lucratif) et par profession (chercheurs, techniciens et autre personnel de soutien)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_PERS", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_PERS@DF_PERS_INDU", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,GENDER,EMP_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,REF_AREA=AUS,FUNCTION=RSE,SEX=_T,UNIT_MEASURE=PS_FTE", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "R&D personnel in the business enterprise sector by main activity"}, {"@xml:lang": "fr", "#text": "Personnel de R-D dans le secteur des entreprises par industrie"}], "common:Description": [{"@xml:lang": "en", "#text": "This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4. Data at the industry level are presented from 2000, first year from which some countries converted their data from ISIC rev.3.1 to the current ISIC rev. 4 classification.
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques sur le personnel de recherche et d\u00e9veloppement (R-D) du secteur des entreprises. Il fournit le nombre, mesur\u00e9 en \u00e9quivalence plein temps \u00e0 des travaux de R-D, du personnel total de R-D et des chercheurs dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI) r\u00e9vision 4. Les donn\u00e9es par industrie sont pr\u00e9sent\u00e9es \u00e0 partir de 2000, premi\u00e8re ann\u00e9e \u00e0 partir de laquelle des pays ont converti leurs donn\u00e9es de la classification CITI r\u00e9v 3.1 vers la CITI r\u00e9v 4."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_PERS", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDS_PERS@DF_PERS_QUAL", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SECT_PERF,GENDER,EMP_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,SECT_PERF=_T,FUNCTION=RSE,EDUCATION_LEV=_T,SEX=_T,UNIT_MEASURE=PS", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "R&D personnel by sector of performance and formal qualification"}, {"@xml:lang": "fr", "#text": "Personnel de R-D par secteur d'emploi et niveau de qualification"}], "common:Description": [{"@xml:lang": "en", "#text": "This table presents research and development (R&D) personnel statistics. Number of R&D personnel is provided in headcounts;D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by formal qualification (university and other diplomas by ISCED classification).
"}, {"@xml:lang": "fr", "#text": "Ce tableau pr\u00e9sente des statistiques sur le personnel de recherche et d\u00e9veloppement (R-D). Il fournit le nombre, mesur\u00e9 en personnes physiques, du personnel de R-D par sexe, par secteur d'emploi (entreprises, \u00c9tat, enseignement sup\u00e9rieur, institutions sans but lucratif) et par niveau de qualification (dipl\u00f4mes universitaires et autre dipl\u00f4mes selon la classification CITE)."}], "structure:Structure": {"Ref": {"@id": "DSD_RDS_PERS", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDTAX@DF_IPTAX", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,UNIT_MULT=0,MEASURE=IPTAX", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE=PT_B1GQ", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "General and country specific notes \u2013 Income-based tax support|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=848b5e68-28dc-49b0-aeb5-3a1a53daded1"}, {"@xml:lang": "fr", "#text": "Notes g\u00e9n\u00e9rales et sp\u00e9cifiques au pays \u2013 Aide fiscale bas\u00e9e sur le revenu|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=848b5e68-28dc-49b0-aeb5-3a1a53daded1"}]}, {"common:AnnotationTitle": "V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_RDSUB,DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest", "common:AnnotationType": "RELATED_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Income-based tax support for R&D and Innovation"}, {"@xml:lang": "fr", "#text": "Aide fiscale \u00e0 la R-D et l\u2019innovation bas\u00e9e sur le revenu"}], "common:Description": {"@xml:lang": "en", "#text": "The OECD R&D Tax Incentives database has been extended in scope in November 2024 to additionally include one indicator (IPTAX) on income-based tax support for R&D and innovation provided at central and/or subnational government level across OECD member countries and eleven non-member economies (Argentina, Brazil, Bulgaria, Croatia, Cyprus, Malta, People's Republic of China, Peru, Romania, South Africa and Thailand). Income-based tax incentives provide relief in form of a reduced tax rate or tax exemption on revenues connected with outputs of the innovation activity of the firm. They comprise two broad categories of incentives: (i) intellectual property (IP) regimes that provide relief to the income derived from certain eligible IP assets (e.g. patent boxes), which can be related to the innovation activity of the firm, and (ii) dual category’ regimes which provide relief to the entirety of business income (i.e. not necessarily IP-based) but restricted to eligible businesses deemed to be engaged in R&D or other innovation-related activities. The new indicator included in the OECD R&D Tax Incentives database specifies the cost of income-based tax support for R&D and innovation to governments in 2021 (or latest year), measured in terms of foregone tax revenue. It complements existing indicators in the OECD R&D Tax Incentives database that reflect the level and structure of central government support for business R&D in form of tax and direct support for business R&D expenditures.
"}, "structure:Structure": {"Ref": {"@id": "DSD_RDTAX", "@version": "1.1", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDTAX@DF_RDSUB", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SIZE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,MEASURE=RDSUB,UNIT_MULT=0,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OECD R&D Tax Incentives Database 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es de l'OCDE sur les incitations fiscales \u00e0 la R&D 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "General and country specific notes - B-Index|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=eb7cb8ad-0738-49e8-b3f8-5158db6b6d96"}, {"@xml:lang": "fr", "#text": "Notes g\u00e9n\u00e9rales et sp\u00e9cifiques \u00e0 chaque pays - GTARD|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=eb7cb8ad-0738-49e8-b3f8-5158db6b6d96"}]}, {"common:AnnotationTitle": "V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_IPTAX,DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest", "common:AnnotationType": "RELATED_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Implied tax subsidy rates on R&D expenditures"}, {"@xml:lang": "fr", "#text": "Taux de subvention fiscale des d\u00e9penses de R-D"}], "common:Description": {"@xml:lang": "en", "#text": "The OECD R&D Tax Incentives database presents OECD time-series indicators of implied tax subsidy rates on R&D expenditures by firm size and profitability scenario for OECD member countries and other major economies, drawing on data collected in the OECD R&D tax incentives surveys since 2007. Implied R&D tax subsidy rates are defined as 1 minus the B-Index, a measure of the before-tax income needed by a \u201crepresentative\u201d firm to break even on one additional monetary unit of R&D outlay (Warda, 2001; OECD, 2023). The more generous the tax provisions for R&D, the lower the before-tax breakeven economic return required by firms and the higher the implied marginal R&D tax subsidy. The OECD time-series estimates of implied R&D tax subsidy rates is based on headline tax credit and allowance rates. Due to limited historical data availability, the estimates are not adjusted for provisions that bound the tax benefits received by firms (e.g. ceilings, thresholds). They therefore provide an upper bound for the marginal tax subsidy implied by R&D tax relief measures at central government level across countries over time. OECD (2019) provides a practical guide to using the OECD R&D Tax Incentives database, describing the R&D tax incentive time series data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.
"}, "structure:Structure": {"Ref": {"@id": "DSD_RDTAX", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_RDTAX@DF_RDTAX", "@agencyID": "OECD.STI.STP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CURRENCY", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2015,UNIT_MEASURE=PT_B1GQ", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "OECD R&D Tax Incentives Database 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es de l'OCDE sur les incitations fiscales \u00e0 la R&D 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb"}]}, {"@id": "@SDMX", "common:AnnotationType": "EXT_RESOURCE", "common:AnnotationText": [{"@xml:lang": "en", "#text": "General and country specific notes - GTARD|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7bac5f9d-e557-4938-8928-dda26fb93a19"}, {"@xml:lang": "fr", "#text": "Notes g\u00e9n\u00e9rales et sp\u00e9cifiques \u00e0 chaque pays - GTARD|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7bac5f9d-e557-4938-8928-dda26fb93a19"}]}, {"common:AnnotationTitle": "V2/structure/dataflow/,/DSD_RDTAX@DF_RDSUB,DSD_RDTAX@DF_IPTAX,DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest", "common:AnnotationType": "RELATED_DATA"}]}, "common:Name": [{"@xml:lang": "en", "#text": "R&D tax expenditure and direct government funding of BERD"}, {"@xml:lang": "fr", "#text": "D\u00e9penses fiscale en faveur de la R-D et financement public direct de la DIRDE"}], "common:Description": {"@xml:lang": "en", "#text": "The OECD R&D Tax Incentives database provides a set of indicators that reflect the level and structure of central and subnational government support for business R&D in form of R&D tax incentives and direct funding across OECD member countries and other major economies. This includes time-series indicators of tax expenditures for R&D, based on the latest OECD data collection on tax incentive support for R&D expenditures. Estimates of the cost of R&D tax support at subnational government level are reported whenever such provisions are applicable and relevant data are available. These estimates of the cost of central and subnational R&D tax relief have been combined with data on direct government funding of business expenditure on R&D (BERD), as compiled by National Statistical Offices based on reports from firms, in order to provide a more complete picture of government efforts to promote business R&D. Furthermore, these estimates are combined with data on Government budget allocations for R&D (GBARD) in the broader context of overall budgetary support for R&D activities undertaken by governments. Government budget allocations for R&D include direct funding provided to all sectors, including contributions to R&D programmes abroad. OECD (2019)provides a practical guide to using the OECD R&D Tax Incentives database, describing the R&D tax incentive time series data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.
"}, "structure:Structure": {"Ref": {"@id": "DSD_RDTAX", "@version": "1.0", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SBRD@DF_SBRD", "@agencyID": "OECD.STI.STP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"common:AnnotationTitle": "OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,LOCATION=WXOECD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "VAR=G_PPP,TIME_PERIOD_START=2005", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "R&D indicators sub-platform"}, {"@xml:lang": "fr", "#text": "Plateforme des indiacteurs de la R-D"}], "structure:Structure": {"Ref": {"@id": "DSD_SBRD", "@version": "1.1", "@agencyID": "OECD.STI.STP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FFS@DF_FFS_ARG", "@agencyID": "OECD.TAD.ADM", "@version": "2.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MECHANISM", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Fossil Fuel Support - Argentina"}, {"@xml:lang": "fr", "#text": "Soutien aux \u00e9nergies fossiles - Argentine"}], "common:Description": [{"@xml:lang": "en", "#text": "Methodology: https://www.oecd.org/fossil-fuels/methodology/:This Inventory contains information on export regulations in the raw materials sector, namely minerals, metals and wood. It records measures known to restrain export activity from 2009-2023 at the 6-digit level of HS2007 classification.
Selection must be started by choosing a country (reference area). Then data queries can be made using one or several of the filters: Type of measures, Commodities, and Year. Selection of products is possible through the \"Commodities\" filter. After a selection is made in one filter, the other filters automatically align and only elements where data are available are selectable.
The list of countries below were reviewed and no restriction in place was found over the period 2009-2023
Regulations on exports of primary agriculture products are contained in a separate database. For current information on trade and domestic measures related to wheat, maize, rice, and soybean please refer to the AMIS Policy Database.
Methodological note to the Inventory on export restrictions on Industrial Raw Materials:
This note explains the measures included in the database as well as the coverage and methodology of the data collection.
\nCet inventaire contient des informations sur les r\u00e9glementations contraignant \u00e0 l'exportation dans le secteur des mati\u00e8res premi\u00e8res, \u00e0 savoir les min\u00e9raux, les m\u00e9taux et le bois. Il recense les mesures connues pour restreindre l'activit\u00e9 d'exportation entre 2009 et 2023 au niveau 6 chiffres de la classification HS2007.\n
\nLa s\u00e9lection doit commencer par le choix d'un pays (zone de r\u00e9f\u00e9rence). Il est ensuite possible d'interroger les donn\u00e9es en utilisant un ou plusieurs filtres : Type de politique, Produit et Ann\u00e9e. La s\u00e9lection des produits est possible \u00e0 travers le filtre \"Produit\". Une fois la s\u00e9lection effectu\u00e9e dans un filtre, les autres filtres s'alignent automatiquement et seuls les \u00e9l\u00e9ments pour lesquels des donn\u00e9es sont disponibles peuvent \u00eatre s\u00e9lectionn\u00e9s.\n
\nLa liste des pays ci-dessous a \u00e9t\u00e9 examin\u00e9e et aucune restriction n'a \u00e9t\u00e9 trouv\u00e9e pour la p\u00e9riode 2009-2023.
\nLes r\u00e9glementations relatives aux exportations de produits agricoles primaires font l'objet d'une base de donn\u00e9es distincte. Pour des informations actualis\u00e9es sur les mesures commerciales et nationales relatives au bl\u00e9, au ma\u00efs, au riz et au soja, veuillez vous r\u00e9f\u00e9rer \u00e0 la base de donn\u00e9es AMIS Policy Database.
\n\nNote m\u00e9thodologique de l'inventaire des restrictions \u00e0 l'exportation de mati\u00e8res premi\u00e8res industrielles :
\nCette note explique les mesures incluses dans la base de donn\u00e9es ainsi que la couverture et la m\u00e9thodologie de la collecte de donn\u00e9es.\n
The OECD database of agri-environmental indicators (AEIs) provides the latest and most comprehensive set of indicators for 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam. The period shown spans 1985 to the most recent data available (varies by country). The database is compiled based on annual data collection by the OECD Secretariat for some countries and via collaboration with Eurostat, which collects statistics for all EU member states plus Norway and Switzerland.
\n\n
The AEI database can be used as a tool to assist policy makers by describing the current state and trends of environmental conditions in agriculture that may require policy responses; highlighting where \u201chot spots\u201d or new challenges are emerging; monitoring trends over time, especially to assist policy makers in meeting environmental targets, threshold levels and standards where these have been established; providing data that can be used to develop other indicators; and as a basis for policy evaluation.
"}, {"@xml:lang": "fr", "#text": "
La base de donn\u00e9es de l'OCDE sur les indicateurs agro-environnementaux (IAE) fournit l'ensemble le plus r\u00e9cent et le plus complet d'indicateurs pour 38 pays membres de l'OCDE, 5 \u00c9tats membres de l'Union europ\u00e9enne non membres de l'OCDE et 11 \u00e9conomies \u00e9mergentes : Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Afrique du Sud, Ukraine et Viet Nam. La p\u00e9riode pr\u00e9sent\u00e9e s'\u00e9tend de 1985 aux donn\u00e9es les plus r\u00e9centes disponibles (variables selon les pays). La base de donn\u00e9es est constitu\u00e9e \u00e0 partir de la collecte annuelle de donn\u00e9es par le Secr\u00e9tariat de l'OCDE pour certains pays et en collaboration avec Eurostat, qui recueille des statistiques pour tous les \u00c9tats membres de l'UE ainsi que pour la Norv\u00e8ge et la Suisse.
\n\n\n
La base de donn\u00e9es des IAE peut \u00eatre utilis\u00e9e comme un outil pour aider les d\u00e9cideurs politiques en d\u00e9crivant l'\u00e9tat actuel et les tendances des conditions environnementales dans l'agriculture qui peuvent n\u00e9cessiter des r\u00e9ponses politiques ; en mettant en \u00e9vidence les \"points chauds\" ou les nouveaux d\u00e9fis qui \u00e9mergent ; en surveillant les tendances dans le temps, en particulier pour aider les d\u00e9cideurs politiques \u00e0 atteindre les objectifs environnementaux, les niveaux de seuil et les normes lorsque ceux-ci ont \u00e9t\u00e9 \u00e9tablis ; en fournissant des donn\u00e9es qui peuvent \u00eatre utilis\u00e9es pour d\u00e9velopper d'autres indicateurs ; et comme une base pour l'\u00e9valuation des politiques.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGAMMO", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Ammonia emissions"}, {"@xml:lang": "fr", "#text": "\u00c9missions d'ammoniac"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGBIO", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=1995", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Biodiversity"}, {"@xml:lang": "fr", "#text": "Biodiversit\u00e9"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGGHGSEM", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012,MEASURE=TOTGHG_GAZ", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Agricultural greenhouse gases emissions"}, {"@xml:lang": "fr", "#text": "\u00c9missions de gaz \u00e0 effet de serre dans l'agriculture"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGLAND", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012,MEASURE=TOTAGR_LAND", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Agricultural land area"}, {"@xml:lang": "fr", "#text": "Superficie des terres agricoles"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGNRJ", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Energy use"}, {"@xml:lang": "fr", "#text": "Utilisation de l'\u00e9nergie"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGPEST", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Pesticides use"}, {"@xml:lang": "fr", "#text": "Utilisation de pesticides"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=SOIL_EROSION", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Soil erosion"}, {"@xml:lang": "fr", "#text": "\u00c9rosion des sols"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGWATER", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,MEASURE=TOTFRESHW", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Water use"}, {"@xml:lang": "fr", "#text": "Utilisation de l'eau"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_AGWQ", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,WATER_TYPE=SW", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Water quality"}, {"@xml:lang": "fr", "#text": "Qualit\u00e9 de l'eau"}], "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGRI_ENV@DF_NB", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2012,MEASURE=B0_H", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Nutrients balances"}, {"@xml:lang": "fr", "#text": "Bilan des \u00e9l\u00e9ments nutritifs"}], "common:Description": {"@xml:lang": "en", "#text": "
The OECD database of nutrient balances provides the latest balances for 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam. The period shown spans 1985 to the most recent data available (varies by country). The database is compiled based on annual data collection by the OECD Secretariat for some countries and via collaboration with Eurostat, which collects statistics for all EU member states plus Norway and Switzerland.
The gross nutrient balances for nitrogen and phosphorus (N and P), expressed in tonnes, are calculated as the difference between the total quantity of nutrients entering an agricultural system (mainly as fertilisers and livestock manure) and the quantity of nutrients leaving the system (mainly via uptake by crops and grassland). The nutrient balance indicator can be used as a proxy to reveal the status of environmental pressures. A positive nutrient balance represents a nutrient surplus (inputs exceed outputs), which can lead to nutrient pollution of air and water resources. A negative nutrient balance represents a deficit (outputs exceed inputs), which can lead to degradation in soil fertility. The nutrient balance indicator is also reported on a per unit land area basis, in kilogrammes of nutrients per hectare of agricultural land.
For more information click on Gross nitrogen Balances.pdf
For more information click on this link Gross phosphorus Balances.pdf
"}, "structure:Structure": {"Ref": {"@id": "DSD_AGRI_ENV", "@version": "1.0", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@BP_CGE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2023", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Contribution of Budgetary Payments to change in Producer Support Estimate by country, 2022 to 2023"}, {"@xml:lang": "fr", "#text": "Contribution des Paiements Budg\u00e9taires aux variations de l'Estimation du Soutien aux Producteurs par pays, 2022 \u00e0 2023"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the contribution of Budgetary Payments to change in Producer Support Estimate by country, 2022 to 2023.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente la contribution des paiements budg\u00e9taires \u00e0 l'\u00e9volution de l'estimation du soutien aux producteurs par pays, 2022 \u00e0 2023.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_BOR_PRI", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2023", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Contribution to change in Border Price by country, 2022 to 2023"}, {"@xml:lang": "fr", "#text": "Contribution aux variations des prix \u00e0 la fronti\u00e8re par pays, 2022 \u00e0 2023"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the contribution to change in Border Price by country, 2022 to 2023.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente la contribution \u00e0 la variation du prix \u00e0 la fronti\u00e8re par pays, 2022 \u00e0 2023.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_COMGSSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Composition of General Services Support Estimate"}, {"@xml:lang": "fr", "#text": "Composition de l'Estimation du soutien aux services d'int\u00e9r\u00eat g\u00e9n\u00e9ral"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the composition of the General Services Support Estimate.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente la composition de l\u2019estimation du soutien aux services d'int\u00e9r\u00eat g\u00e9n\u00e9ral par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_COMM", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMMODITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014,REF_AREA=OECD,COMMODITY=CPC_0115+CPC_0111+CPC_0112", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMMODITY:OECD.TAD.ARP:HCL_COMMODITY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Single commodity indicators"}, {"@xml:lang": "fr", "#text": "Indicateurs de produit individuel"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the core indicators of commodity-level data.
\n\n
The commodities used in this dataset have been reviewed and mapped to the Central Product Classification (CPC) Version 2.1 where relevant to facilitate international comparison. The mapping can be found here
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente les principaux indicateurs au niveau des produits.
\n\n
Les produits utilis\u00e9s dans cette base de donn\u00e9es ont \u00e9t\u00e9 examin\u00e9s et cartographi\u00e9s sur la Classification centrale des produits (CPC) version 2.1, le cas \u00e9ch\u00e9ant, pour faciliter la comparaison internationale. La cartographie peut \u00eatre trouv\u00e9e ici
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_COMPSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Composition of Producer Support Estimate"}, {"@xml:lang": "fr", "#text": "Composition de l'Estimation du soutien aux producteurs"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the composition of Producer Support Estimate by country.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente la composition de l'estimation du soutien aux producteurs par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_CSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Consumer Support Estimate (CSE)"}, {"@xml:lang": "fr", "#text": "Estimation du soutien aux consommateurs (ESC)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the core indicators of the Consumer Support Estimate (CSE).
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente une s\u00e9lection d'indicateurs de l\u2019 estimation du soutien aux consommateurs par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_GSSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "General Services Support Estimate (GSSE)"}, {"@xml:lang": "fr", "#text": "Estimation du soutien aux services d'int\u00e9r\u00eat g\u00e9n\u00e9ral (ESSG)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the General Services Support Estimate (GSSE) by country.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente l\u2019estimation du soutien aux services d'int\u00e9r\u00eat g\u00e9n\u00e9ral par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_MONEVA", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMMODITY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014,REF_AREA=OECD,COMMODITY=CPC_EX_TO", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "COMMODITY:OECD.TAD.ARP:HCL_COMMODITY(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Agricultural Policy Monitoring and Evaluation: all data"}, {"@xml:lang": "fr", "#text": "Suivi et \u00e9valuation des politiques agricoles: toutes les donn\u00e9es"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThe OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies.
\n\nThe commodities used in this dataset have been reviewed and mapped to the Central Product Classification (CPC) Version 2.1 where relevant to facilitate international comparison. The mapping can be found here
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
L\u2019OCDE utilise un syst\u00e8me coh\u00e9rent de mesure et de classification du soutien agricole \u2013 les estimations du soutien aux producteurs et aux consommateurs (ESP et ESC), et indicateurs connexes. Ceux-ci offrent une bonne compr\u00e9hension des politiques agricoles dont la complexit\u00e9 va croissant et servent de base \u00e0 leur suivi et \u00e0 leur \u00e9valuation.
\n\n
Les produits utilis\u00e9s dans cette base de donn\u00e9es ont \u00e9t\u00e9 examin\u00e9s et cartographi\u00e9s sur la Classification centrale des produits (CPC) version 2.1, le cas \u00e9ch\u00e9ant, pour faciliter la comparaison internationale. La cartographie peut \u00eatre trouv\u00e9e ici
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_MONREF", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014,REF_AREA=OECD,UNIT_MEASURE=USD+FCTR+IX+PT_B1GQ+PT_REC_FRM+PT_PROD_VAL+PT_SUPP_E_GN_SRV+PT_CSE_AGR_COM", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Estimates of Support to Agriculture"}, {"@xml:lang": "fr", "#text": "Estimations du soutien \u00e0 l'agriculture"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the core indicators of support for the agricultural sector by country.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente les principaux indicateurs de soutien au secteur agricole par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_POL", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Characteristics of producer policy support"}, {"@xml:lang": "fr", "#text": "Caract\u00e9ristiques des politiques de soutien au producteur"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the characteristics of support for agricultural producers by country.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente les caract\u00e9ristiques des politiques de soutien aux producteurs par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_PSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Producer Support Estimate (PSE)"}, {"@xml:lang": "fr", "#text": "Estimation du soutien aux producteurs (ESP)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents selected indicators of support for agricultural producers by country.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente une s\u00e9lection d'indicateurs de soutien aux producteurs agricoles par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_PSE_CGE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2023", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Contribution to change in Producer Support Estimate by country, 2022 to 2023"}, {"@xml:lang": "fr", "#text": "Contribution aux variations de l'Estimation du Soutien aux Producteurs par pays, 2022 \u00e0 2023"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents the contribution to change in Producer Support Estimate by country, 2022 to 2023.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n
Ce tableau pr\u00e9sente la contribution au changement dans l'estimation du soutien aux producteurs par pays, 2022 \u00e0 2023.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_AGR_POLIND@DF_TSE", "@agencyID": "OECD.TAD.ARP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2014", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Total Support Estimate (TSE)"}, {"@xml:lang": "fr", "#text": "Estimation du soutien total (EST)"}], "common:Description": [{"@xml:lang": "en", "#text": "
This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People\u2019s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.
\n\nThis table presents selected indicators for the Total Support Estimate (TSE) by country.
"}, {"@xml:lang": "fr", "#text": "
Cette base de donn\u00e9es vient en compl\u00e9ment du rapport Politiques agricoles : suivi et \u00e9valuation 2024. Ce document d\u00e9crit l\u2019\u00e9volution des politiques agricoles dans les 38 pays membres de l\u2019OCDE, les 5 \u00c9tats de l\u2019Union europ\u00e9enne qui ne sont pas membres de l\u2019OCDE, et 11 \u00e9conomies \u00e9mergentes ou en d\u00e9veloppement : Afrique du Sud, Argentine, Br\u00e9sil, R\u00e9publique populaire de Chine, Inde, Indon\u00e9sie, Kazakhstan, Philippines, F\u00e9d\u00e9ration de Russie, Ukraine et Viet Nam.
\n\n\n
Ce tableau pr\u00e9sente une s\u00e9lection d'indicateurs pour l\u2019estimation du soutien total (EST) par pays.
"}], "structure:Structure": {"Ref": {"@id": "DSD_AGR_POLIND", "@version": "1.1", "@agencyID": "OECD.TAD.ARP", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_FISH_EMP@DF_FISH_EMPL", "@agencyID": "OECD.TAD.ARP", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "DOMAIN", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,WORK_STATUS", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS,CONF_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,MEASURE", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2010,SEX=_T,WORK_STATUS=_T", "common:AnnotationType": "DEFAULT"}, {"@id": "@SDMX", "common:AnnotationTitle": "SEX:OECD.TAD.ARP:HCL_SEX(1.0).H", "common:AnnotationType": "HIER_CONTEXT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Employment in fisheries, aquaculture and processing"}, {"@xml:lang": "fr", "#text": "Emploi dans le secteur de la p\u00eache, de l'aquaculture et de la transformation"}], "common:Description": {"@xml:lang": "en", "#text": "This dataset contains information on the number of fishers (marine coastal, marine deep-sea, inland, subsistence), fish farmers, and fish processors working in each country. Data are broken down by working status (part-time, full-time, occasional) and sex.\n
\nThe OECD Digital STRI identifies, catalogues and quantifies barriers that affect trade in digitally enabled services across 91 countries. It provides policy makers with an evidence-based tool that helps to identify regulatory bottlenecks, design policies that foster more competitive and diversified markets for digital trade, and analyze the impact of policy reforms. The OECD Digital STRI captures cross-cutting impediments that affect all types of services traded digitally. As a stand-alone instrument, it complements the OECD Services Trade Restrictiveness Index (STRI).
A zip file containing the OECD Digital STRI indices for all countries available over 2014-2024 can be downloaded here: OECD Digital STRI 2024
"}, {"@xml:lang": "fr", "#text": "L\u2019indice de restrictivit\u00e9 des \u00e9changes de services num\u00e9riques (IRES num\u00e9rique) de l\u2019OCDE identifie, catalogue et quantifie les obstacles qui affectent l\u2019\u00e9change des services num\u00e9riquement activ\u00e9s dans 91 pays. Il fournit aux d\u00e9cideurs politiques un outil bas\u00e9 sur des preuves qui aide \u00e0 identifier les goulets d\u2019\u00e9tranglement r\u00e9glementaires, \u00e0 concevoir des politiques favorisant des march\u00e9s plus comp\u00e9titifs et diversifi\u00e9s pour le commerce num\u00e9rique, et \u00e0 analyser l\u2019impact des r\u00e9formes politiques. L\u2019IRES num\u00e9rique de l\u2019OCDE capture les obstacles transversaux qui affectent tous les types de services \u00e9chang\u00e9s num\u00e9riquement. En tant qu\u2019instrument autonome, il compl\u00e8te l\u2019Indice de Restriction des \u00c9changes des Services (IRES) de l\u2019OCDE.
Un fichier zip contenant les indices IRES num\u00e9riques pour tous les pays disponibles sur la période 2014-2024 peut être téléchargé ici :OECD Digital STRI 2024
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI@DF_STRI_DIGITAL_HETERO", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "METHODOLOGY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2019,REF_AREA=AUS", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Digital STRI Heterogeneity Indices"}, {"@xml:lang": "fr", "#text": "Indices h\u00e9t\u00e9rog\u00e8nes de restriction sur les \u00e9changes de services num\u00e9riques"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Digital STRI heterogeneity indices complement the existing Digital STRI's and presents indices of regulatory heterogeneity based on the rich information in the Digital STRI regulatory database. The indices are built from assessing \u2013 for each country pair and each measure \u2013 whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a
"}, {"@xml:lang": "fr", "#text": "L\u2019indice de restrictivit\u00e9 des \u00e9changes de services num\u00e9riques (IRES num\u00e9rique) identifie, catalogue et quantifie les barri\u00e8res rencontr\u00e9es par les services \u00e9chang\u00e9es num\u00e9riquement dans 91 pays. Il constitue un outil de diagnostic sans pareil permettant aux pays de discerner rapidement o\u00f9 se situent les restrictions atypiques et les \u00e9ventuels blocages, d'\u00e9laborer des politiques pour des march\u00e9s plus comp\u00e9titifs et diversifi\u00e9s pour les \u00e9changes num\u00e9riques des services et d'analyser l'impact de ces r\u00e9formes. En tant qu'instrument ind\u00e9pendant, il compl\u00e8te l'Indice de Restrcitivit\u00e9 des Echanges de Services de l'OCDE.
Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la période 2014-2024 peut être téléchargé ici :https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI@DF_STRI_HETERO", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA,METHODOLOGY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUT,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "STRI Heterogeneity Indices"}, {"@xml:lang": "fr", "#text": "Indices h\u00e9t\u00e9rog\u00e8nes de restriction sur les \u00e9changes de services"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD STRI heterogeneity indices complement the existing STRI's and presents indices of regulatory heterogeneity based on the rich information in the STRI regulatory database. The indices are built from assessing \u2013 for each country pair and each measure \u2013 whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a
"}, {"@xml:lang": "fr", "#text": "Les indices d'h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 de l'IRES de l'OCDE compl\u00e8tent les IRES existants en pr\u00e9sentant des indices d'h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 r\u00e9glementaire bas\u00e9s sur les informations riches de la base de donn\u00e9es r\u00e9glementaires de l'IRES. Ces indices sont construits en \u00e9valuant, pour chaque paire de pays et chaque mesure, si les pays ont la m\u00eame r\u00e9glementation. Pour chaque paire de pays et chaque secteur, les indices refl\u00e8tent la part (pond\u00e9r\u00e9e) des mesures pour lesquelles les deux pays ont des r\u00e9glementations diff\u00e9rentes.
Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la période 2014-2024 peut être téléchargé ici :https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI@DF_STRI_INTRAEEA", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUT,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Intra-EEA Services Trade Restrictiveness Index"}, {"@xml:lang": "fr", "#text": "Indices h\u00e9t\u00e9rog\u00e8nes de restriction sur les \u00e9changes de services"}], "common:Description": [{"@xml:lang": "en", "#text": "The intra-EEA Services Trade Restrictiveness Index identifies and catalogues which policy measures restrict trade within the European Economic Area (EEA) for 24 OECD EU member countries (25 up to 2020). It complements the existing STRI, which quantifies multilateral services trade restrictiveness, allowing to track the progress of regional services integration across 22 services sectors.
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: OECD INTREEA STRI 2014-2024
"}, {"@xml:lang": "fr", "#text": "L'Indice de Restrictivit\u00e9 des Echanges de Services identifie et catalogue les mesures r\u00e9glementaires qui restreignent les \u00e9changes de services au sein de l'Espace Economique Europ\u00e9en (EEE) pour 24 pays membres de l'OCDE et de l'EEE (25 jusqu'en 2020). Il compl\u00e8te l'IRES d\u00e9j\u00e0 existant qui quantifie la restrictivit\u00e9 dans les \u00e9changes de services multilat\u00e9raux, permettant de suivre les progr\u00e8s de l'int\u00e9gration r\u00e9gionale dans 22 secteurs de services.
Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la période 2014-2024 peut être téléchargé ici :OECD INTREEA STRI 2014-2024
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI@DF_STRI_INTRAEEA_HETERO", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "COUNTERPART_AREA,METHODOLOGY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUT,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Intra-EEA STRI Heterogeneity Indices"}, {"@xml:lang": "fr", "#text": "Indices de restriction sur les \u00e9changes de services Intra-EEE"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD intra-EEA STRI heterogeneity indices complement the existing intra-EEA STRI's and presents indices of regulatory heterogeneity based on the rich information in the intra-EEA STRI regulatory database. The indices are built from assessing \u2013 for each country pair and each measure \u2013 whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a
"}, {"@xml:lang": "fr", "#text": "Les indices IRES h\u00e9t\u00e9rog\u00e8nes intra-EEE de l'OCDE compl\u00e8tent les indices IRES intra-EEE r\u00e9cemment publi\u00e9s en utilisant l'information tr\u00e8s riche se trouvant dans la base r\u00e9glementaire IRES intra-EEE. Les indices sont construits en d\u00e9terminant pour chaque paire de pays et pour chaque mesure si ces deux pays ont des r\u00e9glementations similaires. Pour chaque paire de pays par secteur, les indices refl\u00e8tent la part pond\u00e9r\u00e9e des mesures pour lesquels deux pays ont des r\u00e9glementations qui diff\u00e8rent.
Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la période 2014-2024 peut être téléchargé ici :https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI@DF_STRI_MAIN", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA=AUT,TIME_PERIOD_START=2019", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Services Trade Restrictiveness Index by services sector"}, {"@xml:lang": "fr", "#text": "Indices de restriction sur les \u00e9changes de services par secteur"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD STRI is a unique, evidence-based tool that collects information on services trade restrictions across 22 services sectors. The project has two distinct but complementary instruments: a services trade regulatory database and a services trade restrictiveness index. Based on the qualitative information in the database, composite indices quantify the identified restrictions across five standard policy categories, with values between zero and one. Complete openness to trade and investment gives a score of zero, while being completely closed to foreign services providers yields a score of one. This dataset presents a breakdown by economic activity at group- (3-digit) level of International Standard Industrial Classification, Revision 4 (ISIC Rev.4): ISIC Rev. 4.
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: OECD STRI 2024
"}, {"@xml:lang": "fr", "#text": "L’indice de restrictivité des échanges de services (IRES) de l'OCDE est un outil unique, basé sur des preuves, qui collecte des informations sur les restrictions au commerce des services dans 22 secteurs de services. Le projet comprend deux instruments distincts mais complémentaires : une base de données réglementaires sur le commerce des services et un indice de restrictivité du commerce des services. Basés sur les informations qualitatives de la base de données, des indices composites quantifient les restrictions identifiées dans cinq catégories de politiques standard, avec des valeurs comprises entre zéro et un. Une ouverture totale au commerce et à l'investissement donne un score de zéro, tandis qu'une fermeture complète aux prestataires de services étrangers donne un score de un. Ce jeu de données présente une ventilation par activité économique au niveau du groupe (3 chiffres) de la Classification internationale type par industrie, Révision 4 (CITI Rev.4).
Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la période 2014-2024 peut être téléchargé ici :OECD STRI 2024
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI_POLICY@DF_STRI_POLICY_DIGITAL", "@agencyID": "OECD.TAD.TPD", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD_START=2023,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE,STRI_REGULATORY_MEASURE=6_1_1+6_2_1+6_3_1+6_4_1", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Digital Services Trade Restrictiveness Index Regulatory Database"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es r\u00e9glementaires de l'indice de restriction sur les \u00e9changes de services num\u00e9riques"}], "common:Description": [{"@xml:lang": "en", "#text": "The Digital Services Trade Restrictiveness Index database identifies and catalogues barriers that affect trade in digitally enabled services across 91 countries and economies. The STRI indicators and database have been updated to 2024. The entries in the database are documented with reference to the sources.
The policy measures are categorised under five policy areas:
Regulatory data for the following countries was collected in collaboration with:
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: OECD Digital STRI Regulatory Database 2014-2024
Note: OECD is not responsible for the content or availability of external websites.
"}, {"@xml:lang": "fr", "#text": "The Digital Services Trade Restrictiveness Index database identifies and catalogues barriers that affect trade in digitally enabled services across 90 countries and economies. The STRI indicators and database have been updated to 2023. The entries in the database are documented with reference to the sources.
The policy measures are categorised under five policy areas:
Regulatory data for the following countries was collected in collaboration with:
A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: OECD Digital STRI Regulatory Database 2014-2024
Note: OECD is not responsible for the content or availability of external websites.
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI_POLICY", "@version": "1.1", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI_POLICY@DF_STRI_POLICY_INTRAEEA", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY=F,TIME_PERIOD_START=2023,STRI_REGULATORY_MEASURE=1_1_1+1_1_3+1_1_4+1_2_1", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Intra-EEA Services Trade Restrictiveness Index Regulatory Database"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es r\u00e9glementaires de l'indice de restriction sur les \u00e9changes de services Intra-EEE"}], "common:Description": [{"@xml:lang": "en", "#text": "The intra-EEA Services Trade Restrictiveness Index identifies and catalogues which policy measures restrict trade within the European Economic Area (EEA) for 24 OECD EU member countries. It complements the existing STRI, which quantifies multilateral services trade restrictiveness, allowing to track the progress of regional services integration in 22 \u00a0sectors (transport, financial, professional, logistics, audiovisual, construction, telecommunications, distribution, computer). The STRI indicators and database have been updated to 2023 for all sectors. The update also involves further harmonisation of measures across sectors and sharpening some of the measures. The entries in the database are documented with reference to the sources. Note: OECD is not responsible for the content or availability of external websites."}, {"@xml:lang": "fr", "#text": "The intra-EEA Services Trade Restrictiveness Index identifies and catalogues which policy measures restrict trade within the European Economic Area (EEA) for 24 OECD EU member countries. It complements the existing STRI, which quantifies multilateral services trade restrictiveness, allowing to track the progress of regional services integration in 22 \u00a0sectors (transport, financial, professional, logistics, audiovisual, construction, telecommunications, distribution, computer). The STRI indicators and database have been updated to 2023 for all sectors. The update also involves further harmonisation of measures across sectors and sharpening some of the measures. The entries in the database are documented with reference to the sources. Note: OECD is not responsible for the content or availability of external websites."}], "structure:Structure": {"Ref": {"@id": "DSD_STRI_POLICY", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_STRI_POLICY@DF_STRI_POLICY_MAIN", "@agencyID": "OECD.TAD.TPD", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "ACTIVITY=F,TIME_PERIOD_START=2023,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE,STRI_REGULATORY_MEASURE=1_1_1+1_1_3+1_1_4+1_2_1", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Services Trade Restrictiveness Index Regulatory Database"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es r\u00e9glementaires de l'indice de restriction sur les \u00e9changes de services"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Services Trade Restrictiveness Index database contains information on trade restrictions and behind the border regulation in 22 sectors (transport, financial, professional, logistics, audiovisual, construction, telecommunications, distribution, computer). The STRI indicators and database have been updated to 2024 for all sectors. The entries in the database are documented with reference to the sources.
A zip file containing the STRI Regulatory Database for all countries and sectors available over 2014-2024 can be downloaded here: OECD STRI Regulatory Database 2024
Note: OECD is not responsible for the content or availability of external websites.
"}, {"@xml:lang": "fr", "#text": "La base de donn\u00e9es r\u00e9glementaire de l'Indice de Restriction des \u00c9changes de Services (IRES) de l'OCDE contient des informations sur les restrictions commerciales et la r\u00e9glementation int\u00e9rieure dans 22 secteurs (transport, financier, professionnel, logistique, audiovisuel, construction, t\u00e9l\u00e9communications, distribution, informatique). Les indicateurs et la base de donn\u00e9es STRI ont \u00e9t\u00e9 mis \u00e0 jour pour 2024 pour tous les secteurs. Les entr\u00e9es dans la base de donn\u00e9es sont document\u00e9es avec r\u00e9f\u00e9rence aux sources.
Un fichier zip contenant la base de donn\u00e9es r\u00e9glementaire IRES pour tous les pays et secteurs disponibles sur la p\u00e9riode 2014-2024 peut \u00eatre t\u00e9l\u00e9charg\u00e9 ici : OECD STRI Regulatory Database 2024
Note : L'OCDE n'est pas responsable du contenu ou de la disponibilit\u00e9 des sites externes.
"}], "structure:Structure": {"Ref": {"@id": "DSD_STRI_POLICY", "@version": "1.0", "@agencyID": "OECD.TAD.TPD", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_CWB@DF_CWB", "@agencyID": "OECD.WISE.CWB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "DOMAIN,MEASURE", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "POP_GROUP", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "DOMAIN=A1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Child well-being"}, {"@xml:lang": "fr", "#text": "Bien-\u00eatre des enfants"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset contains key internationally comparable indicators on children\u2019s well being outcomes, a range of additional context indicators on important drivers of child well being, and child relevant public policies. The dataset is built using the latest available data from OECD databases and a range of leading international child surveys and data collection programmes. Indicators are selected based on a multi-dimensional and forward looking approach to child well-being, centred on the idea that children should be able to both enjoy a \u201cgood\u201d positive childhood in the here and now, and have the opportunity to develop skills and abilities that set them up well for the future. While the data look to cover the well-being of children of all ages, limitations in data availability mean that most indicators focus on those in middle childhood and adolescence. This dataset represents a selection of headline indicators from the OECD Child Well-being Data Portal, a tool for policy makers and the public to monitor countries\u2019 efforts to promote child well being. It is built on the OECD's Child Well-being Measurement Framework as set out in the OECD's 2021 report Measuring What Matters for Child Well-being and Policies."}, {"@xml:lang": "fr", "#text": "Cette base de donn\u00e9es contient des indicateurs cl\u00e9s comparables au niveau international sur les r\u00e9sultats du bien-\u00eatre des enfants, une s\u00e9rie d'indicateurs contextuels suppl\u00e9mentaires sur les moteurs importants du bien-\u00eatre des enfants, et des indicateurs pertinents sur les politiques publiques relatives aux enfants. L'ensemble de donn\u00e9es est construit \u00e0 partir des derni\u00e8res donn\u00e9es disponibles provenant des bases de donn\u00e9es de l'OCDE et d'un ensemble d'enqu\u00eates internationales sur les enfants. Les indicateurs sont s\u00e9lectionn\u00e9s sur la base d'une approche multidimensionnelle et d\u00e9veloppementale du bien-\u00eatre de l'enfant, centr\u00e9e sur l'id\u00e9e que le bien-\u00eatre dans l\u2019enfance est aussi important pour d\u00e9velopper des comp\u00e9tences et des aptitudes qui les pr\u00e9parent bien pour l'avenir. Bien que les donn\u00e9es cherchent \u00e0 couvrir le bien-\u00eatre des enfants de tous \u00e2ges, les limites de la disponibilit\u00e9 des donn\u00e9es signifient que la plupart des indicateurs se concentrent sur ceux qui sont au milieu de l'enfance et de l'adolescence. Cet ensemble de donn\u00e9es est compos\u00e9 d\u2019une s\u00e9lection d'indicateurs principaux du Portail de donn\u00e9es sur le bien-\u00eatre des enfants de l'OCDE, un outil permettant aux d\u00e9cideurs politiques et au public de suivre les efforts d\u00e9ploy\u00e9s par les pays pour promouvoir le bien-\u00eatre des enfants. Il s'appuie sur le cadre de mesure du bien-\u00eatre de l'enfant de l'OCDE, tel qu'il est d\u00e9fini dans le rapport de l'OCDE de 2021 intitul\u00e9 Mesurer ce qui compte pour le bien-\u00eatre de l'enfant et les politiques relatives aux enfants."}], "structure:Structure": {"Ref": {"@id": "DSD_CWB", "@version": "1.0", "@agencyID": "OECD.WISE.CWB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_TIME_USE@DF_TIME_USE", "@agencyID": "OECD.WISE.INE", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,SEX", "common:AnnotationType": "LAYOUT_COLUMN"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "SEX=_T", "common:AnnotationType": "DEFAULT"}]}, "common:Name": [{"@xml:lang": "en", "#text": "Time use"}, {"@xml:lang": "fr", "#text": "Emploi du temps"}], "common:Description": [{"@xml:lang": "en", "#text": "Time-use surveys are the primary statistical vehicle for recording information on how people precisely allocate their time across different day-to-day activities. Typically, a large number of people keep a diary of activities over one or several representative days for a given period. Respondents describe their activities in their own words in a time diary and these are then re-coded by national statistical agencies into a set of descriptive categories. A well-designed survey classifies activities across a total duration of 24 hours (or 1 440 minutes) per day. Interest in time-use studies has grown considerably over the last 30 years and an increasing number of national statistical agencies have been conducting large-scale time-use surveys"}, {"@xml:lang": "fr", "#text": "Les enqu\u00eates sur l\u2019emploi du temps sont le principal outil statistique permettant d\u2019enregistrer des informations sur la mani\u00e8re dont les personnes r\u00e9partissent leur temps entre diff\u00e9rentes activit\u00e9s quotidiennes. En r\u00e8gle g\u00e9n\u00e9rale, un grand nombre de personnes tiennent un carnet de leurs activit\u00e9s pendant un ou plusieurs jours repr\u00e9sentatifs pour une p\u00e9riode donn\u00e9e. Les r\u00e9pondants d\u00e9crivent leurs activit\u00e9s dans leurs propres mots dans un carnet de temps. Celles-ci sont ensuite recod\u00e9es par les agences nationales de statistiques en un ensemble de cat\u00e9gories descriptives. Une enqu\u00eate bien con\u00e7ue permet de classer les activit\u00e9s sur une dur\u00e9e totale de 24 heures (ou 1 440 minutes) par jour. L'int\u00e9r\u00eat pour les \u00e9tudes sur l'emploi du temps a consid\u00e9rablement augment\u00e9 au cours des 30 derni\u00e8res ann\u00e9es et un nombre croissant d'organismes nationaux de statistiques ont men\u00e9 des enqu\u00eates \u00e0 grande \u00e9chelle sur l'utilisation du temps."}], "structure:Structure": {"Ref": {"@id": "DSD_TIME_USE", "@version": "1.0", "@agencyID": "OECD.WISE.INE", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WEALTH@DF_WEALTH", "@agencyID": "OECD.WISE.INE", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE,STATISTICAL_OPERATION,THRESHOLD", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,THRESHOLD=_Z,STATISTICAL_OPERATION=_Z", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=SH_TOP10", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,THRESHOLD;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Wealth distribution database"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es sur la distribution de la richesse"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Wealth Distribution Database (WDD) collects information on the distribution of household net wealth and is updated every two or three years."}, {"@xml:lang": "fr", "#text": "The\u00a0OECD Wealth Distribution Database (WDD)\u00a0collects information on the distribution of household net wealth and is updated every two or three years."}], "structure:Structure": {"Ref": {"@id": "DSD_WEALTH", "@version": "1.0", "@agencyID": "OECD.WISE.INE", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_WISE_IDD@DF_IDD", "@agencyID": "OECD.WISE.INE", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,AGE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MEASURE,DEFINITION,METHODOLOGY", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "CURRENCY,OBS_STATUS", "common:AnnotationType": "LAYOUT_FLAG"}, {"@id": "@SDMX", "common:AnnotationTitle": "UNIT_MULT=0,OBS_STATUS=A,FREQ=A,CONF_STATUS=F,STATISTICAL_OPERATION=_Z,REF_AREA=WXOECD,POVERTY_LINE=_Z,UNIT_MEASURE=XDC", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "MEASURE=INC_DISP_GINI,AGE=_T,DEFINITION=D_CUR,TIME_PERIOD_START=2010,METHODOLOGY=METH2012", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,POVERTY_LINE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Measure combin\u00e9e;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure combin\u00e9e"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Income distribution database"}, {"@xml:lang": "fr", "#text": "Base de donn\u00e9es sur la distribution des revenus"}], "common:Description": [{"@xml:lang": "en", "#text": "The OECD Income Distribution Database (IDD) offers data on levels and trends in income inequality and poverty and is updated on a rolling basis, two to three times a year."}, {"@xml:lang": "fr", "#text": "The OECD Income Distribution Database (IDD) offers data on levels and trends in income inequality and poverty and is updated on a rolling basis, two to three times a year."}], "structure:Structure": {"Ref": {"@id": "DSD_WISE_IDD", "@version": "1.0", "@agencyID": "OECD.WISE.INE", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_GOAL=G_1,SDG_TARGET=1_2", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goals"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides a wide range of indicators to measure OECD countries' efforts towards the 2030 Agenda for Sustainable Development, which includes an ambitious set of 17 goals and 169 targets. The dataset has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green growth indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others.Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit un large \u00e9ventail d'indicateurs pour mesurer les efforts des pays de l'OCDE en faveur de l'Agenda 2030 pour le d\u00e9veloppement durable, qui comprend un ensemble ambitieux de 17 objectifs et 169 cibles. L'ensemble de donn\u00e9es a \u00e9t\u00e9 construit \u00e0 partir de donn\u00e9es mondiales sur les ODD et de donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore.Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_1", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=1_2", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 01 - No poverty"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 01 - Pas de pauvret\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 1 - End poverty in all its forms everywhere. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 1 \u00c9liminer la pauvret\u00e9 sous toutes ses formes et partout dans le monde.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_10", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=10_2", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 10 - Reduced inequality"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 10 - In\u00e9galit\u00e9s r\u00e9duites"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 10 - Reduce inequality within and among countries. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 10 R\u00e9duire les in\u00e9galit\u00e9s dans les pays et d\u2019un pays \u00e0 l\u2019autre.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_11", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=11_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 11 - Sustainable cities and communities"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 11 - Villes et communaut\u00e9s durables"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 11 - Make cities and human settlements inclusive, safe, resilient, and sustainable. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 11 Faire en sorte que les villes et les \u00e9tablissements humains soient ouverts \u00e0 tous, s\u00fbrs, r\u00e9silients et durables.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_12", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=12_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 12 - Responsible consumption and production"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 12 - Consommation et production responsables"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 12 - Ensure sustainable consumption and production patterns. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 12 \u00c9tablir des modes de consommation et de production durables.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_13", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=13_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 13 - Climate action"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 13 - Mesures relatives \u00e0 la lutte contre les changements climatiques"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 13 - Take urgent action to combat climate change and its impacts. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 13 Prendre d\u2019urgence des mesures pour lutter contre les changements climatiques et leurs r\u00e9percussions.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_14", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=14_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 14 - Life below water"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 14 - Vie aquatique"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 14 - Conserve and sustainably use the oceans, seas, and marine resources for sustainable development. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 14 Conserver et exploiter de mani\u00e8re durable les oc\u00e9ans, les mers et les ressources marines aux fins du d\u00e9veloppement durable.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_15", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=15_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 15 - Life on land"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 15 - Vie terrestre"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 15 - Protect, restore, and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 15 Pr\u00e9server et restaurer les \u00e9cosyst\u00e8mes terrestres, en veillant \u00e0 les exploiter de fa\u00e7on durable, g\u00e9rer durablement les for\u00eats, lutter contre la d\u00e9sertification, enrayer et inverser le processus de d\u00e9gradation des sols et mettre fin \u00e0 l\u2019appauvrissement de la biodiversit\u00e9.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_16", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=16_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 16 - Peace, justice, and strong institutions"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 16 - Paix, justice et institutions efficaces"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 16 - Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable, and inclusive institutions at all levels. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 16 Promouvoir l\u2019av\u00e8nement de soci\u00e9t\u00e9s pacifiques et inclusives aux fins du d\u00e9veloppement durable, assurer l\u2019acc\u00e8s de tous \u00e0 la justice et mettre en place, \u00e0 tous les niveaux, des institutions efficaces, responsables et ouvertes \u00e0 tous.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_17", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=17_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 17 - Partnerships for the goals"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 17 - Partenariats pour la r\u00e9alisation des Objectifs de d\u00e9veloppement durable"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 17 - Strengthen the means of implementation and revitalize the global partnership for sustainable development. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD Renforcer les moyens de mettre en \u0153uvre le Partenariat mondial pour le d\u00e9veloppement et le revitaliser.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_2", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=2_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 02 - Zero hunger"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 02 - Faim \u00ab z\u00e9ro \u00bb"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 2 - End hunger, achieve food security and improved nutrition and promote sustainable agriculture. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 2 \u00c9liminer la faim, assurer la s\u00e9curit\u00e9 alimentaire, am\u00e9liorer la nutrition et promouvoir l\u2019agriculture durable.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_3", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=3_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 03 - Good health and well-being"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 03 - Bonne sant\u00e9 et bien-\u00eatre"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 3 - Ensure healthy lives and promote well-being for all at all ages. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 3 Permettre \u00e0 tous de vivre en bonne sant\u00e9 et promouvoir le bien-\u00eatre de tous \u00e0 tout \u00e2ge.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_4", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=4_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 04 - Quality education"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 04 - \u00c9ducation de qualit\u00e9"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 4 - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 4 Assurer l\u2019acc\u00e8s de tous \u00e0 une \u00e9ducation de qualit\u00e9, sur un pied d\u2019\u00e9galit\u00e9, et promouvoir les possibilit\u00e9s d\u2019apprentissage tout au long de la vie.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_5", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=5_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 05 - Gender equality"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 05 - \u00c9galit\u00e9 entre les sexes"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 5 - Achieve gender equality and empower all women and girls. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 5 Parvenir \u00e0 l\u2019\u00e9galit\u00e9 des sexes et autonomiser toutes les femmes et les filles.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_6", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=6_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 06 - Clean water and sanitation"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 06 - Eau propre et assainissement"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 6 - Ensure availability and sustainable management of water and sanitation for all. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 6 Garantir l\u2019acc\u00e8s de tous \u00e0 des services d\u2019alimentation en eau et d\u2019assainissement g\u00e9r\u00e9s de fa\u00e7on durable.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_7", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=7_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 07 - Affordable and clean energy"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 07 - \u00c9nergie propre et d'un co\u00fbt abordable"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 7 - Ensure access to affordable, reliable, sustainable and modern energy for all. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 7 Garantir l\u2019acc\u00e8s de tous \u00e0 des services \u00e9nerg\u00e9tiques fiables, durables et modernes, \u00e0 un co\u00fbt abordable.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_8", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=8_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 08 - Decent work and economic growth"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 08 - Travail d\u00e9cent et croissance \u00e9conomique"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 8 - Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 8 Promouvoir une croissance \u00e9conomique soutenue, partag\u00e9e et durable, le plein emploi productif et un travail d\u00e9cent pour tous.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_SDG@DF_SDG_G_9", "@agencyID": "OECD.WISE.RSB", "@version": "1.0", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "TIME_PERIOD", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "SDG_GOAL,SDG_TARGET,SDG_INDICATOR", "common:AnnotationType": "LAYOUT_ROW_SECTION"}, {"common:AnnotationTitle": "SOURCE", "common:AnnotationType": "LAYOUT_NOTE"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=9_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Sustainable Development Goal 09 - Industry, innovation, and infrastructure"}, {"@xml:lang": "fr", "#text": "Objectifs de d\u00e9veloppement durable 09 - Industrie, innovation et infrastructure"}], "common:Description": [{"@xml:lang": "en", "#text": "This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 9 - Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation. The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. Details on the construction of the database can be found in the methodology note."}, {"@xml:lang": "fr", "#text": "Cet ensemble de donn\u00e9es fournit les indicateurs permettant de mesurer les efforts d\u00e9ploy\u00e9s par les pays de l'OCDE pour atteindre l'ODD 9 B\u00e2tir une infrastructure r\u00e9siliente, promouvoir une industrialisation durable qui profite \u00e0 tous et encourager l\u2019innovation.L'ensemble de donn\u00e9es de l'OCDE sur les ODD a \u00e9t\u00e9 construit \u00e0 partir des donn\u00e9es globales de l'UNSDG et des donn\u00e9es compl\u00e9mentaires de l'OCDE, ce qui permet d'adapter l'analyse aux d\u00e9fis politiques auxquels sont confront\u00e9s les pays de l'OCDE. La m\u00e9thodologie s'appuie sur les donn\u00e9es de la base de donn\u00e9es mondiale des Nations Unies sur les ODD et sur les bases de donn\u00e9es pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivit\u00e9 de l'OCDE, entre autres. L'OCDE est (co-)d\u00e9positaire d'un certain nombre d'indicateurs et fournit directement des donn\u00e9es \u00e0 la base de donn\u00e9es mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fond\u00e9e sur le sexe, l'acc\u00e8s \u00e0 la justice civile et d'autres encore. Les d\u00e9tails de la construction de la base de donn\u00e9es se trouvent dans la note m\u00e9thodologique."}], "structure:Structure": {"Ref": {"@id": "DSD_SDG", "@version": "1.0", "@agencyID": "OECD.WISE.RSB", "@package": "datastructure", "@class": "DataStructure"}}}, {"@id": "DSD_HSL@DF_HSL_CWB", "@agencyID": "OECD.WISE.WDP", "@version": "1.1", "@isFinal": "true", "common:Annotations": {"common:Annotation": [{"common:AnnotationType": "NonProductionDataflow", "common:AnnotationText": {"@xml:lang": "en", "#text": "true"}}, {"@id": "@SDMX", "common:AnnotationTitle": "REF_AREA", "common:AnnotationType": "LAYOUT_ROW"}, {"@id": "@SDMX", "common:AnnotationTitle": "DOMAIN,MEASURE,UNIT_MEASURE", "common:AnnotationType": "LAYOUT_COLUMN"}, {"@id": "@SDMX", "common:AnnotationTitle": "OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T", "common:AnnotationType": "NOT_DISPLAYED"}, {"@id": "@SDMX", "common:AnnotationTitle": "lastNObservations=1,AGE=_T,SEX=_T,EDUCATION_LEV=_T,MEASURE=11_2+11_1+9_3+9_2+8_2+8_1_DEP+7_2+7_1_DEP+6_2_DEP+6_2+5_3+5_1+4_3+4_1+3_2+3_1+2_7+2_2+2_1+1_3+1_2+1_1", "common:AnnotationType": "DEFAULT"}, {"common:AnnotationTitle": "COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT", "common:AnnotationType": "COMBINED_CONCEPTS", "common:AnnotationText": [{"@xml:lang": "en", "#text": "COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}, {"@xml:lang": "fr", "#text": "COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unit\u00e9 de mesure"}]}]}, "common:Name": [{"@xml:lang": "en", "#text": "Current well-being"}, {"@xml:lang": "fr", "#text": "Bien-\u00eatre actuel"}], "common:Description": [{"@xml:lang": "en", "#text": "The How\u2019s Life? database is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's definitions and metadata.\n