93 datasets found
  1. GDP per capita (current US$)

    • kaggle.com
    Updated Jun 8, 2023
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    Bhanupratap Biswas☑️ (2023). GDP per capita (current US$) [Dataset]. http://doi.org/10.34740/kaggle/dsv/5874119
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Kaggle
    Authors
    Bhanupratap Biswas☑️
    Area covered
    United States
    Description

    GDP per capita (current US$) is an economic indicator that measures the average economic output per person in a country. It is calculated by dividing the total Gross Domestic Product (GDP) of a country by its population, both measured in current US dollars. GDP per capita provides a useful metric for comparing the economic well-being and living standards between different countries.

    There are various sources where you can find GDP per capita data, including international organizations, government agencies, and financial institutions. Some prominent sources for GDP per capita data include:

    1. World Bank: The World Bank provides comprehensive data on GDP per capita for countries around the world. They maintain the World Development Indicators (WDI) database, which includes GDP per capita figures for different years.

    2. International Monetary Fund (IMF): The IMF also offers GDP per capita data through their World Economic Outlook (WEO) database. It provides economic indicators and forecasts, including GDP per capita figures for various countries.

    3. National Statistical Agencies: Many countries have their own national statistical agencies that publish GDP per capita data. These agencies collect and analyze economic data, including GDP and population figures, to calculate GDP per capita.

    4. Central Banks: In some cases, central banks may also provide GDP per capita data for their respective countries. They often publish economic indicators and reports that include GDP per capita figures.

    When using GDP per capita data, it's important to note that it represents an average measure and does not necessarily reflect the distribution of wealth within a country. Additionally, GDP per capita figures are often adjusted for inflation to provide real GDP per capita, which accounts for changes in the purchasing power of money over time.

    To access the most up-to-date and accurate GDP per capita data, it is recommended to refer to reputable sources mentioned above or consult the official websites of international organizations, government agencies, or central banks that specialize in economic data and analysis.

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

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 14, 2025
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    Office for National Statistics (2025). GDP in chained volume measures – real-time database (ABMI) [Dataset]. https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/realtimedatabaseforukgdpabmi
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    xlsxAvailable download formats
    Dataset updated
    Aug 14, 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.

  3. 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.

  4. F

    Gross Domestic Product

    • fred.stlouisfed.org
    • trends.sourcemedium.com
    json
    Updated Jul 30, 2025
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    (2025). Gross Domestic Product [Dataset]. https://fred.stlouisfed.org/series/GDP
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 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.

  5. d

    Gross and Real Gross Domestic Product for State of Iowa

    • catalog.data.gov
    • data.iowa.gov
    • +1more
    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
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    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.

  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. GDP – data tables

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Aug 14, 2025
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    Office for National Statistics (2025). GDP – data tables [Dataset]. https://cy.ons.gov.uk/economy/grossdomesticproductgdp/datasets/uksecondestimateofgdpdatatables
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    xlsxAvailable download formats
    Dataset updated
    Aug 14, 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.

  8. GDP(o) data sources catalogue

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Oct 11, 2024
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    Office for National Statistics (2024). GDP(o) data sources catalogue [Dataset]. https://cy.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.

  9. GDP Per Capita | Gov Expenditure | Trade

    • kaggle.com
    Updated Apr 8, 2025
    + more versions
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    Shaswata Tripathy (2025). GDP Per Capita | Gov Expenditure | Trade [Dataset]. https://www.kaggle.com/datasets/shaswatatripathy/gdp-per-capita-gov-expenditure-trade
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Kaggle
    Authors
    Shaswata Tripathy
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides a comprehensive view of key macroeconomic indicators across various entities (countries or regions) over time. It includes annual data for the following variables:

    Entity: The name of the country or region for which the data is recorded. Code: A standardized three-letter country or region code, facilitating easier identification and merging with other datasets. Year: The calendar year for which the economic indicators are reported. GDP per capita: The gross domestic product (GDP) divided by the midyear population. It represents the average economic output per person and is a common measure of living standards and economic development. Value of global merchandise exports as a share of GDP: This indicates the proportion of a country's total economic output that is represented by the value of its exported goods. It highlights the importance of international trade in the economy. Government expenditure (% of GDP): The total spending by the government as a percentage of the country's GDP. This reflects the size and scope of government involvement in the economy. Trade as a Share of GDP: The sum of a country's total exports and imports of goods and services, expressed as a percentage of its GDP. This metric indicates the overall openness of an economy to international trade. ****Inflation, consumer prices (annual %)****: The percentage change in the average prices of goods and services typically purchased by households over a one-year period. It measures the rate at which the cost of living is changing.

  10. Real GDP per capita

    • data.europa.eu
    • db.nomics.world
    • +1more
    csv, html, tsv, xml
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    Eurostat, Real GDP per capita [Dataset]. https://data.europa.eu/data/datasets/e7xssvplrdkyjkfqpz9b2w
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    csv(11004), tsv(4556), xml(9589), xml(9159), htmlAvailable download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    The indicator is calculated as the ratio of real GDP (GDP adjusted for inflation) to the average population of a specific year, where GDP is expressed in millions and population is expressed in thousands. Real GDP is published without decimals. GDP measures the value of the total final output of goods and services produced by an economy within a certain period of time. It includes goods and services that have markets (or which could have markets) and products which are produced by general government and non-profit institutions. It is a measure of economic activity and is commonly used as a proxy for the development in a country’s material living standards. However, it is not a complete measure of economic welfare. For example, GDP does not include most unpaid household work. Neither does GDP take account of negative effects of economic activity, like environmental degradation.

  11. 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
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    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.

  12. Global Data: GDP, Life Expectancy & More

    • kaggle.com
    Updated Oct 19, 2024
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    Arslaan Siddiqui (2024). Global Data: GDP, Life Expectancy & More [Dataset]. https://www.kaggle.com/datasets/arslaan5/global-data-gdp-life-expectancy-and-more/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Arslaan Siddiqui
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    Global Data: GDP, Life Expectancy & More

    This dataset comprises 204 entries and 38 attributes, providing a comprehensive analysis of key economic and social indicators across various countries. It includes a diverse range of metrics, allowing for in-depth exploration of global trends related to GDP, education, health, and environmental factors.

    Key Features:

    • GDP: Gross Domestic Product (in current US dollars), representing the total economic output of a country.
    • Sex Ratio: The ratio of males to females in the population, highlighting demographic trends.
    • Life Expectancy: Average lifespan for males and females, an essential indicator of healthcare quality.
    • Education Enrollment Rates: Data on primary, secondary, and post-secondary education enrollment for males and females, reflecting educational attainment.
    • Unemployment Rate: Percentage of the labor force that is unemployed, indicating economic health.
    • Homicide Rate: Number of homicides per 100,000 population, providing insight into safety and crime levels.
    • Urban Population Growth: Rate of growth in urban populations, illustrating migration trends.
    • CO2 Emissions: Carbon dioxide emissions per capita, an important measure of environmental impact.
    • Forested Area: Percentage of land covered by forests, indicating biodiversity and environmental health.
    • Tourist Numbers: Total number of international visitors, which can reflect a country's tourism potential.

    Applications and Uses:

    1. Research and Analysis: Ideal for researchers studying the correlation between economic performance and social indicators. This dataset can help identify trends and patterns relevant to global development.

    2. Policy Development: Policymakers can utilize this data to inform decisions on education, healthcare, and environmental policies, aiming to improve national outcomes.

    3. Machine Learning and Data Science: Data scientists can apply machine learning techniques to predict economic trends, analyze social impacts, or classify countries based on various indicators.

    4. Educational Purposes: Suitable for students and educators in fields like economics, sociology, and environmental science for practical data analysis exercises.

    5. Visualization Projects: Perfect for creating compelling visualizations that illustrate relationships between different metrics, aiding in public understanding and engagement.

    By leveraging this dataset, users can uncover insights into how different factors influence a country's development, making it a valuable resource for diverse applications across various fields.

  13. d

    505 Economics: Monthly Sub-National GDP Dataset for Spain (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 Spain (granular, timely and precise) [Dataset]. https://datarade.ai/data-products/505-economics-monthly-sub-national-gdp-dataset-for-spain-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
    Spain
    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. Barcelona),
      • NUTS2 (e.g. Cataluna),
      • NUTS1 (e.g. Este), and
      • NUTS0 (e.g. Spain) 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.

  14. Digital Economy Satellite Account

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    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.

  15. 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
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    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.

  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. c

    GDP per capita in PPS

    • opendata.marche.camcom.it
    • db.nomics.world
    • +1more
    json
    Updated Jul 10, 2025
    + more versions
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    ESTAT (2025). GDP per capita in PPS [Dataset]. https://opendata.marche.camcom.it/json-browser.htm?dse=tec00114?lastTimePeriod=1
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    ESTAT
    License

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

    Time period covered
    2024
    Area covered
    Variables measured
    Volume indices of real expenditure per capita (in PPS_EU27_2020=100)
    Description

    Data from 1st of June 2022. For most recent GDP data, consult dataset nama_10_gdp. Gross domestic product (GDP) is a measure for the economic activity. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The volume index of GDP per capita in Purchasing Power Standards (PPS) is expressed in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of GDP per head is higher than the EU average and vice versa. Basic figures are expressed in PPS, i.e. a common currency that eliminates the differences in price levels between countries allowing meaningful volume comparisons of GDP between countries. Please note that the index, calculated from PPS figures and expressed with respect to EU27_2020 = 100, is intended for cross-country comparisons rather than for temporal comparisons."

    Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

  18. Data from: Dataset on the Index of Sustainable Economic Welfare for the EU27...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Sep 13, 2024
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    Claire Soupart; Claire Soupart; Brent Bleys; Brent Bleys (2024). Dataset on the Index of Sustainable Economic Welfare for the EU27 and beyond. [Dataset]. http://doi.org/10.5281/zenodo.13365452
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    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Claire Soupart; Claire Soupart; Brent Bleys; Brent Bleys
    License

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

    Time period covered
    Sep 13, 2024
    Description
    This dataset contains data about two ISEWs for the EU27, its individual Member States (MS), the UK and the US. Following Van der Slycken and Bleys (2023) (1), two variants of the ISEW are presented in this dataset: the ISEW_BCE accounts for the benefits and costs of the present and pasts activities experienced in the present and within a specific country (Benefits and Costs Experienced); the ISEW_BCPA accounts for the benefits and costs of present activities experienced in the present and in the future, both domestically and internationally (Benefits and Costs of Present economic Activities).
    This document contains different datasets. Two datasets contain a summary of the values of the ISEWs and their components in ‘per capita’ terms. One summary presents the results for the EU27 (and MS) and the other one presents the results for the UK and the US (Non-EU countries). Additionally, each component is presented in some details in different pages, allowing to see the value of the different subcomponents included in each component (and even the value of some items with subcomponents for some components).
    The period covered by this dataset is 1995-2020.
    All the components are described in the accompanying table and in the report.
    (1) Van der Slycken, J. and Bleys, B. (2023). Towards ISEW and GPI 2.0: Dealing with Cross-Time and Cross-Boundary Issues in a Case Study for Belgium. Social Indicators Research, 168(1):557-583.
  19. m

    Export diversification and economic growth

    • data.mendeley.com
    Updated Aug 5, 2022
    + more versions
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    KHOLISWA MALINDINI (2022). Export diversification and economic growth [Dataset]. http://doi.org/10.17632/j8hvpnstyk.1
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    Dataset updated
    Aug 5, 2022
    Authors
    KHOLISWA MALINDINI
    License

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

    Description

    The dataset was utilised to examine the impact of export diversification on economic growth in Sub-Saharan Africa. A total of 43 countries over a period of 19 years were taken into account. The research hypothesis for this study is: Export concentration constrains economic growth in Sub-Saharan Africa. The data for macroeconomic variables considered in the study were drawn from the World Development Indicators' database. Then data for measuring the extent of export diversification were drawn from the International Monetary Funds' Herfindahl-Hirschman Index database. Lastly, data to measure the quality of governance were drawn from the Worldwide Governance Indicators' database. The study measured the log of GDP per capita growth as the dependent variable- and export diversification and, governance index (index of the six components of governance), foreign direct investment, domestic investment as the main explanatory variables - whereas trade policy, trade openness were included as control variables. Furthermore, the study tested for a u-shaped pattern between export diversification and economic growth in the region and thus an additional variable was included InExDsq to achieve this objective. The results suggest that export diversification is still low in Sub-Saharan Africa and consequently impact negatively on economic growth in the region. This is evidenced by the negative coefficient of export diversification.

  20. p

    World Development Indicators - Gross Domestic Product (GDP)

    • app.pollinatorhub.eu
    Updated Apr 18, 2025
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    World Bank Group (2025). World Development Indicators - Gross Domestic Product (GDP) [Dataset]. https://app.pollinatorhub.eu/dataset-discovery/GRSSD225.0.0
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    Dataset updated
    Apr 18, 2025
    Dataset provided by
    EU Pollinator Hub
    Authors
    World Bank Group
    License

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

    Description

    The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. Gross domestic product (GDP) is a monetary measure of the market value of…

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Bhanupratap Biswas☑️ (2023). GDP per capita (current US$) [Dataset]. http://doi.org/10.34740/kaggle/dsv/5874119
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GDP per capita (current US$)

GDP per capita (current US$) is an economic indicator that measures the average

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 8, 2023
Dataset provided by
Kaggle
Authors
Bhanupratap Biswas☑️
Area covered
United States
Description

GDP per capita (current US$) is an economic indicator that measures the average economic output per person in a country. It is calculated by dividing the total Gross Domestic Product (GDP) of a country by its population, both measured in current US dollars. GDP per capita provides a useful metric for comparing the economic well-being and living standards between different countries.

There are various sources where you can find GDP per capita data, including international organizations, government agencies, and financial institutions. Some prominent sources for GDP per capita data include:

  1. World Bank: The World Bank provides comprehensive data on GDP per capita for countries around the world. They maintain the World Development Indicators (WDI) database, which includes GDP per capita figures for different years.

  2. International Monetary Fund (IMF): The IMF also offers GDP per capita data through their World Economic Outlook (WEO) database. It provides economic indicators and forecasts, including GDP per capita figures for various countries.

  3. National Statistical Agencies: Many countries have their own national statistical agencies that publish GDP per capita data. These agencies collect and analyze economic data, including GDP and population figures, to calculate GDP per capita.

  4. Central Banks: In some cases, central banks may also provide GDP per capita data for their respective countries. They often publish economic indicators and reports that include GDP per capita figures.

When using GDP per capita data, it's important to note that it represents an average measure and does not necessarily reflect the distribution of wealth within a country. Additionally, GDP per capita figures are often adjusted for inflation to provide real GDP per capita, which accounts for changes in the purchasing power of money over time.

To access the most up-to-date and accurate GDP per capita data, it is recommended to refer to reputable sources mentioned above or consult the official websites of international organizations, government agencies, or central banks that specialize in economic data and analysis.

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