96 datasets found
  1. d

    505 Economics: Monthly Sub-National GDP Dataset for France (granular, timely...

    • datarade.ai
    Updated May 12, 2021
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    505 Economics (2021). 505 Economics: Monthly Sub-National GDP Dataset for France (granular, timely and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-sub-national-gdp-dataset-for-france-granular-timely-and-precise-505-economics
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 12, 2021
    Dataset authored and provided by
    505 Economics
    Area covered
    France
    Description

    505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

    Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

    We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

    This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

    We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

    Key features:

    • Granular: Data is provided at the following geographical units:
      • NUTS3 (e.g. London Boroughs),
      • NUTS2 (e.g. London),
      • NUTS1 (e.g. England), and
      • NUTS0 (e.g. United Kingdom) levels.
    • Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
    • Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
    • Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

    The dataset can be used by:

    • Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
    • Financial services - to get an indication of national-level GDP before official GDP statistics are released
    • Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
    • Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
    • Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
    • Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

    We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

  2. F

    Gross Domestic Product

    • fred.stlouisfed.org
    • trends.sourcemedium.com
    json
    Updated May 29, 2025
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    (2025). Gross Domestic Product [Dataset]. https://fred.stlouisfed.org/series/GDP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

  3. d

    Gross and Real Gross Domestic Product for State of Iowa

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Nov 15, 2024
    + more versions
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    data.iowa.gov (2024). Gross and Real Gross Domestic Product for State of Iowa [Dataset]. https://catalog.data.gov/dataset/gross-and-real-gross-domestic-product-for-state-of-iowa
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset provides both quarterly and annual estimates of the value of the goods and services produced in Iowa as provided by the U.S. Department of Commerce, Bureau of Economic Analysis in tables SAGDP2N, SAGDP9N, SAGDP10N, SQGDP2, and SQGDP9. Annual data is available beginning in 1997, and quarterly beginning 2005. The data include breakdowns of industries' contributions. Quarterly estimates are presented as an annual rate. Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars. Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars. The annual per capita real GDP is also provided and is measured in chained dollars. In calculating the per capita real GDP, the real GDP is divided by the Census Bureau’s annual midyear (July 1) population estimates for the year.

  4. GDP in chained volume measures – real-time database (ABMI)

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Jun 30, 2025
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    Office for National Statistics (2025). GDP in chained volume measures – real-time database (ABMI) [Dataset]. https://cy.ons.gov.uk/economy/grossdomesticproductgdp/datasets/realtimedatabaseforukgdpabmi
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Quarterly levels for UK gross domestic product (GDP), in chained volume measures at market prices.

  5. GDP – data tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jun 30, 2025
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    Office for National Statistics (2025). GDP – data tables [Dataset]. https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/uksecondestimateofgdpdatatables
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    xlsxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Annual and quarterly data for UK gross domestic product (GDP) estimates, in chained volume measures and current market prices.

  6. Annual Gross Domestic Product (GDP) - Datasets - Government of the Republic...

    • data.gov.tt
    Updated Sep 28, 2023
    + more versions
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    data.gov.tt (2023). Annual Gross Domestic Product (GDP) - Datasets - Government of the Republic of Trinidad and Tobago Open Data Platform [Dataset]. https://data.gov.tt/dataset/annual-gross-domestic-product-gdp
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    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Data.govhttps://data.gov/
    Area covered
    Trinidad and Tobago
    Description

    The dataset provides annual insights into the economic performance of Trinidad and Tobago, focusing on Gross Domestic Product (GDP) at producer prices and other related indicators. Gross domestic product (GDP) is the total monetary or market value of all the finished goods and services produced within a country’s borders in a specific time period. As a broad measure of overall domestic production, it is a comprehensive scorecard of a country’s economic health.

  7. d

    Gross Domestic Product

    • datasets.ai
    • open.canada.ca
    • +3more
    21, 23, 53, 55, 8
    Updated Sep 5, 2024
    + more versions
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    Government of Alberta | Gouvernement de l'Alberta (2024). Gross Domestic Product [Dataset]. https://datasets.ai/datasets/4a493355-1283-4197-9928-7bb7baa01939
    Explore at:
    23, 8, 53, 55, 21Available download formats
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Government of Alberta | Gouvernement de l'Alberta
    Description

    Gross Domestic Product (GDP) is a measure of the economic production which takes place within the geographical boundaries of a province or country. It can be measured at basic prices (by industry) or at market prices.

  8. Ontario gross domestic product

    • open.canada.ca
    • data.ontario.ca
    • +1more
    xlsx
    Updated Jun 18, 2025
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    Government of Ontario (2025). Ontario gross domestic product [Dataset]. https://open.canada.ca/data/en/dataset/ee45201e-64fc-41de-acd4-893be8564472
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2023
    Area covered
    Ontario
    Description

    Get data on the Ontario gross domestic product (GDP) by Goods-Producing Industries and Services Industries. The GDP is a monetary measure of the value of all the goods and services produced in a period.

  9. d

    Iowa Real Gross Domestic Product, Quarterly Estimate

    • catalog.data.gov
    Updated Sep 1, 2023
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    data.iowa.gov (2023). Iowa Real Gross Domestic Product, Quarterly Estimate [Dataset]. https://catalog.data.gov/dataset/iowa-real-gross-domestic-product-quarterly-estimate
    Explore at:
    Dataset updated
    Sep 1, 2023
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa reporting using an annual rate. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). Iowa GDP excludes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment. Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa.

  10. GDP(o) data sources catalogue

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 11, 2024
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    Office for National Statistics (2024). GDP(o) data sources catalogue [Dataset]. https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/gdpodatasourcescatalogue
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    xlsxAvailable download formats
    Dataset updated
    Oct 11, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Breakdown of all the data sources that feed into the output measure of Gross Domestic Product.

  11. Approaches of domestic product (GDP); National Accounts, 1995-2022

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Oct 18, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (2024). Approaches of domestic product (GDP); National Accounts, 1995-2022 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/84087eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Oct 18, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1995 - 2022
    Area covered
    The Netherlands
    Description

    This table presents annual data on the output components, the final expenditure categories and the income components of gross domestic product of the Netherlands. In the national accounts gross domestic product is approached from three points of view: from the output, from the generation of income and from the final expenditure. Gross domestic product is a main macroeconomic indicator. The volume change of gross domestic product is a measure for the economic growth of a country.

    Data available from: 1995 up to and including 2022.

    Status of the figures: Data from 1995 up to and including 2021 are final. Data of 2022 are provisional. Since this table has been discontinued, provisional data will not become final.

    Changes as of June 24th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

    When will new figures be published? Not applicable anymore.

    When will new figures be published? Not applicable anymore.

  12. T

    Japan GDP

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). Japan GDP [Dataset]. https://tradingeconomics.com/japan/gdp
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Japan
    Description

    The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. T

    Vietnam GDP

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). Vietnam GDP [Dataset]. https://tradingeconomics.com/vietnam/gdp
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1985 - Dec 31, 2024
    Area covered
    Vietnam
    Description

    The Gross Domestic Product (GDP) in Vietnam was worth 476.39 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Vietnam represents 0.45 percent of the world economy. This dataset provides the latest reported value for - Vietnam GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. d

    505 Economics: Monthly Sub-National GDP Dataset for Italy (granular, timely...

    • datarade.ai
    Updated May 1, 2021
    + more versions
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    505 Economics (2021). 505 Economics: Monthly Sub-National GDP Dataset for Italy (granular, timely and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-sub-national-gdp-dataset-for-italy-granular-timely-and-precise-505-economics
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 1, 2021
    Dataset authored and provided by
    505 Economics
    Area covered
    Italy
    Description

    505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

    Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

    We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

    This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

    We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

    Key features:

    • Granular: Data is provided at the following geographical units:
      • NUTS3 (e.g. Provinces),
      • NUTS2 (e.g. Regions),
      • NUTS1 (e.g. Macroregions), and
      • NUTS0 (e.g. Italy) levels.
    • Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
    • Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
    • Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

    The dataset can be used by:

    • Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
    • Financial services - to get an indication of national-level GDP before official GDP statistics are released
    • Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
    • Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
    • Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
    • Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

    We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

  15. d

    Iowa Real Gross Domestic Product, Quarterly Estimate Change Rate

    • catalog.data.gov
    • datasets.ai
    Updated Jun 21, 2025
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    data.iowa.gov (2025). Iowa Real Gross Domestic Product, Quarterly Estimate Change Rate [Dataset]. https://catalog.data.gov/dataset/iowa-real-gross-domestic-product-quarterly-estimate-change-rate
    Explore at:
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This measure reports the change rate for the Iowa Real Gross Domestic Product quarterly estimate.

  16. t

    Real GDP growth rate - volume - Vdataset - LDM

    • service.tib.eu
    Updated Jan 8, 2025
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    (2025). Real GDP growth rate - volume - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_1pdehxmf8q9yexgyf1pyhq
    Explore at:
    Dataset updated
    Jan 8, 2025
    Description

    Gross domestic product (GDP) is a measure of the economic activity, defined as the value of all goods and services produced less the value of any goods or services used in their creation. The calculation of the annual growth rate of GDP volume is intended to allow comparisons of the dynamics of economic development both over time and between economies of different sizes. For measuring the growth rate of GDP in terms of volumes, the GDP at current prices are valued in the prices of the previous year and the thus computed volume changes are imposed on the level of a reference year; this is called a chain-linked series. Accordingly, price movements will not inflate the growth rate.

  17. Gross domestic product for agri-food sector

    • open.canada.ca
    • data.ontario.ca
    • +1more
    xlsx
    Updated Jun 18, 2025
    + more versions
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    Government of Ontario (2025). Gross domestic product for agri-food sector [Dataset]. https://open.canada.ca/data/en/dataset/62f4ddec-15fa-4469-84c0-b7164ccf8783
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2023
    Description

    Get data on Ontario Gross Domestic Product (GDP) for agri-food Sector. The GDP is a monetary measure of the value of all final goods and services produced in a period.

  18. Digital Economy Satellite Account

    • catalog.data.gov
    Updated Jul 15, 2022
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    Bureau of Economic Analysis (2022). Digital Economy Satellite Account [Dataset]. https://catalog.data.gov/dataset/digital-economy-satellite-account-476a7
    Explore at:
    Dataset updated
    Jul 15, 2022
    Dataset provided by
    The Bureau of Economic Analysishttp://www.bea.gov/
    Description

    The Digital Economy Satellite Account measures the digital economy's contribution to U.S. GDP, improves measures of high-tech goods and services, and offers a more complete picture of international trade. Includes valuing digital-enabling infrastructure, e-commerce transactions, and digital media.

  19. f

    Data from: Can GDP Measurement Be Further Improved? Data Revision and...

    • tandf.figshare.com
    pdf
    Updated May 30, 2023
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    Jan P. A. M. Jacobs; Samad Sarferaz; Jan-Egbert Sturm; Simon van Norden (2023). Can GDP Measurement Be Further Improved? Data Revision and Reconciliation [Dataset]. http://doi.org/10.6084/m9.figshare.13119974.v3
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Jan P. A. M. Jacobs; Samad Sarferaz; Jan-Egbert Sturm; Simon van Norden
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Recent years have seen many attempts to combine expenditure-side estimates of U.S. real output (GDE) growth with income-side estimates (GDI) to improve estimates of real GDP growth. We show how to incorporate information from multiple releases of noisy data to provide more precise estimates while avoiding some of the identifying assumptions required in earlier work. This relies on a new insight: using multiple data releases allows us to distinguish news and noise measurement errors in situations where a single vintage does not. We find that (a) the data prefer averaging across multiple releases instead of discarding early releases in favor of later ones, and (b) that initial estimates of GDI are quite informative. Our new measure, GDP++, undergoes smaller revisions and tracks expenditure measures of GDP growth more closely than either the simple average of the expenditure and income measures published by the BEA or the GDP growth measure of Aruoba et al. published by the Federal Reserve Bank of Philadelphia.

  20. Annual GDP and components - output approach

    • db.nomics.world
    Updated May 30, 2025
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    DBnomics (2025). Annual GDP and components - output approach [Dataset]. https://db.nomics.world/OECD/DSD_NAMAIN10@DF_TABLE1_OUTPUT
    Explore at:
    Dataset updated
    May 30, 2025
    Authors
    DBnomics
    Description

    This table presents Gross Domestic Product (GDP) and its components according to the output approach. In the output approach, GDP is measured as the sum of gross value added (GVA) of all economic activities plus taxes less subsidies on products. This table includes breakdowns of GVA by type of economic activity according to Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC).

    The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data is also presented converted to US dollars using exchange rates. It is also possible to select current prices, chain linked volumes etc using the ‘Price base’ filter (the default view is current prices).

    The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. These can be selected using the ‘Reference area’ filter.

    These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset.
    See ANA Changes for information on changes in methodology: ANA Changes
    Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
    OECD statistics contact: STAT.Contact@oecd.org

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505 Economics (2021). 505 Economics: Monthly Sub-National GDP Dataset for France (granular, timely and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-sub-national-gdp-dataset-for-france-granular-timely-and-precise-505-economics

505 Economics: Monthly Sub-National GDP Dataset for France (granular, timely and precise)

Explore at:
.json, .xml, .csv, .xlsAvailable download formats
Dataset updated
May 12, 2021
Dataset authored and provided by
505 Economics
Area covered
France
Description

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features:

  • Granular: Data is provided at the following geographical units:
    • NUTS3 (e.g. London Boroughs),
    • NUTS2 (e.g. London),
    • NUTS1 (e.g. England), and
    • NUTS0 (e.g. United Kingdom) levels.
  • Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
  • Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
  • Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

  • Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
  • Financial services - to get an indication of national-level GDP before official GDP statistics are released
  • Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
  • Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
  • Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
  • Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

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