100+ datasets found
  1. World Bank GDP by Country and Continent(2000–2025)

    • kaggle.com
    zip
    Updated Sep 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Naveena Paleti (2025). World Bank GDP by Country and Continent(2000–2025) [Dataset]. https://www.kaggle.com/datasets/naveenapaleti/world-bank-gdp-by-country-and-continent20002025
    Explore at:
    zip(26735 bytes)Available download formats
    Dataset updated
    Sep 24, 2025
    Authors
    Naveena Paleti
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Description

    Context

    This dataset provides country-level GDP (Gross Domestic Product) in current US dollars from 2000 to 2025, mapped to the seven classic continents (Asia, Africa, Europe, North America, South America, Australia, and Antarctica). It is designed to make global economic data easier to explore, compare, and visualize by combining both geographic and temporal dimensions.

    GDP is one of the most widely used indicators to measure the size of an economy, its growth trends, and relative economic performance across regions.

    Source

    Data Provider: World Bank Open Data

    Indicator Used: NY.GDP.MKTP.CD → GDP (current US$)

    License: World Bank Dataset Terms of Use (aligned with CC BY 4.0)

    Note: 2024–2025 values may be incomplete or missing for some countries, depending on World Bank publication updates.

    Dataset Structure

    Name of country → Country name

    Continent → One of the 7 continents

    2000–2025 → GDP values in current US$ (float, may contain missing values NaN)

    Format: wide panel data (one row per country, one column per year).

    Inspiration & Use Cases

    This dataset was prepared to make economic analysis, visualization, and forecasting more accessible. It can be used for:

    • Time-series forecasting (predicting GDP growth into the future)
    • Cross-country comparisons (e.g., comparing GDP trends of India vs. USA vs. Brazil)
    • Continent-level aggregation (summing GDP by continent per year)
    • Data visualization (heatmaps, line charts, world choropleths)
    • Machine Learning applications (e.g., clustering countries by GDP trajectory)

    Citation

    If you use this dataset, please cite:

    Source: World Bank, World Development Indicators (NY.GDP.MKTP.CD). Licensed under the World Bank Terms of Use.

  2. U

    United States US: GDP: Real

    • ceicdata.com
    Updated Nov 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). United States US: GDP: Real [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-real/us-gdp-real
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Real data was reported at 17,304.984 USD bn in 2017. This records an increase from the previous number of 16,920.328 USD bn for 2016. United States US: GDP: Real data is updated yearly, averaging 8,735.853 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17,304.984 USD bn in 2017 and a record low of 3,078.071 USD bn in 1960. United States US: GDP: Real data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Real. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

  3. Non-U.S.-based employees at World Bank 2015-2023

    • statista.com
    Updated Jul 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Non-U.S.-based employees at World Bank 2015-2023 [Dataset]. https://www.statista.com/statistics/1496348/world-bank-employees-non-us/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, United States
    Description

    The share of full-time employees at the World Bank who were based outside the United States increased from 2015 to 2023, reaching nearly ** percent. Only in 2020, at the height of the COVID-19 pandemic, did more than half of the employees work outside the U.S.. The World Bank Group and its subunits provide loans to low- and middle-income countries.

  4. F

    Number of Bank Branches for United States

    • fred.stlouisfed.org
    json
    Updated Mar 23, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Number of Bank Branches for United States [Dataset]. https://fred.stlouisfed.org/series/DDAI02USA643NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 23, 2022
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Number of Bank Branches for United States (DDAI02USA643NWDB) from 2004 to 2019 about banks, depository institutions, and USA.

  5. World Bank Enterprise Survey 2024 - United States

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank Group (WBG) (2025). World Bank Enterprise Survey 2024 - United States [Dataset]. https://microdata.worldbank.org/index.php/catalog/6709
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank Group (WBG)
    Time period covered
    2024 - 2025
    Area covered
    United States
    Description

    Abstract

    The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

    Geographic coverage

    National

    Analysis unit

    The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

    Universe

    All formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the registration agency. In the case of the United States, registration was considered as being registered with the Business Registry and/or the Internal Revenue Service, as a business entity.

    The universe table is the total number of eligible establishments, and the table is partitioned by the stratification groups (industry classification, establishment size, and subnational region) in a country.

    Note: The universe table can be found in Table 1 of the "United States 2024 World Bank Enterprise Survey Implementation Report, Tables".

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

    • produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
    • ensures representativeness by including observations in all of those categories
    • produces more precise estimates for a given sample size or budget allocation, and
    • may reduce implementation costs by splitting the population into convenient subdivisions.

    The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

    Note: For detailed sampling methodology, refer to the Sampling Structure section in "The United States 2024 World Bank Enterprise Survey Implementation Report".

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, trade, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

    Response rate

    Overall survey response rate was 11.5%.

  6. F

    H-Statistic in Banking Market for United States

    • fred.stlouisfed.org
    json
    Updated Sep 21, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). H-Statistic in Banking Market for United States [Dataset]. https://fred.stlouisfed.org/series/DDOI03USA066NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 21, 2018
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for H-Statistic in Banking Market for United States (DDOI03USA066NWDB) from 2010 to 2014 about h-statistics, banks, depository institutions, and USA.

  7. U

    United States Multidimensional Poverty Headcount Ratio: World Bank: % of...

    • ceicdata.com
    Updated Feb 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States Multidimensional Poverty Headcount Ratio: World Bank: % of total population [Dataset]. https://www.ceicdata.com/en/united-states/social-poverty-and-inequality/multidimensional-poverty-headcount-ratio-world-bank--of-total-population
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    United States
    Description

    United States Multidimensional Poverty Headcount Ratio: World Bank: % of total population data was reported at 1.500 % in 2022. This records an increase from the previous number of 0.600 % for 2021. United States Multidimensional Poverty Headcount Ratio: World Bank: % of total population data is updated yearly, averaging 1.300 % from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 1.500 % in 2022 and a record low of 0.500 % in 2020. United States Multidimensional Poverty Headcount Ratio: World Bank: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  8. U

    United States US: GDP: Deflator

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States US: GDP: Deflator [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-nominal/us-gdp-deflator
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Deflator data was reported at 112.052 2010=100 in 2017. This records an increase from the previous number of 110.072 2010=100 for 2016. United States US: GDP: Deflator data is updated yearly, averaging 62.424 2010=100 from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 112.052 2010=100 in 2017 and a record low of 17.651 2010=100 in 1960. United States US: GDP: Deflator data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Nominal. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

  9. s

    Distribution of votes at the World Bank 2024, by agency

    • statista.com
    Updated Sep 30, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Distribution of votes at the World Bank 2024, by agency [Dataset]. https://www.statista.com/statistics/1497110/world-bank-voting-distribution-agency/
    Explore at:
    Dataset updated
    Sep 30, 2024
    Dataset authored and provided by
    Statista
    Time period covered
    Sep 30, 2024
    Area covered
    Worldwide
    Description

    The United States holds a plurality of the vote share in the World Bank, with shares of around ** percent within the International Bank for Reconstruction and Development (IBRD) as well as the Multilateral International Guarantee Agency (MIGA). Voting shares within the World Bank organizations are allocated at the time of membership as well as based on capital subscriptions, and the allocation process varies somewhat from organization to organization. The voting shares have been allocated differently at different points throughout history to reflect the power of emerging economies.

  10. U

    United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Nov 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  11. G

    Capital investment, in dollars in High income countries (World Bank...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 28, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2021). Capital investment, in dollars in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/capital_investment_dollars/WB-high/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Jan 28, 2021
    Dataset authored and provided by
    Globalen LLC
    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
    World
    Description

    The average for 2023 based on 55 countries was 267.33 billion U.S. dollars. The highest value was in the USA: 5971.33 billion U.S. dollars and the lowest value was in the Seychelles: 0.45 billion U.S. dollars. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

  12. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 15, 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
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. F

    Outstanding Total International Debt Securities to GDP for United States

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Outstanding Total International Debt Securities to GDP for United States [Dataset]. https://fred.stlouisfed.org/series/DDDM07USA156NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Outstanding Total International Debt Securities to GDP for United States (DDDM07USA156NWDB) from 1980 to 2020 about issues, debt, GDP, and USA.

  14. Data from: GDP DATA

    • kaggle.com
    zip
    Updated Nov 9, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ruken Missonnier (2023). GDP DATA [Dataset]. https://www.kaggle.com/datasets/rukenmissonnier/gdp-data
    Explore at:
    zip(131273 bytes)Available download formats
    Dataset updated
    Nov 9, 2023
    Authors
    Ruken Missonnier
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Description

    Economic Data Descriptions

    GDP (current US$)

    GDP (current US$) refers to the Gross Domestic Product measured in current United States dollars. It is a key economic indicator that represents the total monetary value of all goods and services produced within a country's borders in a specific time period, usually a year. This metric provides a comprehensive overview of a nation's economic activity and is widely used for comparing the economic performance of different countries. Calculated in current US dollars, GDP (current US$) takes into account inflation and exchange rate fluctuations, allowing for meaningful international comparisons of economic output and trends.

    World Bank National Accounts Data

    The World Bank National Accounts data refers to a comprehensive and reliable set of economic data compiled and maintained by the World Bank. These data files encompass a wide range of economic indicators, including GDP, for countries across the globe. The World Bank collects and analyzes national accounts data from various sources, such as government agencies and international organizations, to provide accurate and up-to-date information on economic activities, expenditures, and incomes within different countries. Researchers, policymakers, and analysts often rely on World Bank National Accounts data to assess economic performance, formulate policies, and conduct cross-country comparisons.

    OECD National Accounts Data Files

    The OECD (Organization for Economic Co-operation and Development) National Accounts data files contain detailed economic information about OECD member countries and other major economies. These files include comprehensive data on GDP, consumption, investment, government spending, and other economic indicators. OECD collects and publishes these data to facilitate in-depth analysis of economic trends, policy evaluations, and international comparisons. Researchers, economists, and policymakers utilize OECD National Accounts data files to gain insights into the economic health of individual countries, identify patterns, and make informed decisions based on robust and standardized economic data.

  15. y

    US GDP as % of World GDP

    • ycharts.com
    html
    Updated Sep 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank (2025). US GDP as % of World GDP [Dataset]. https://ycharts.com/indicators/us_gdp_as_a_percentage_of_world_gdp
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    World Bank
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    United States
    Variables measured
    US GDP as % of World GDP
    Description

    View yearly updates and historical trends for US GDP as % of World GDP. from United States. Source: World Bank. Track economic data with YCharts analytics.

  16. h

    wbfns

    • huggingface.co
    Updated Feb 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Liam O'Dea (2024). wbfns [Dataset]. https://huggingface.co/datasets/lodeawb/wbfns
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 7, 2024
    Authors
    Liam O'Dea
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Card for wbfns 2018

    42 publicly-available document texts downloaded from the World Bank Documents and Report API.

      Dataset Details
    
    
    
    
    
      Dataset Description
    

    42 World Bank document texts, related to Nutrition and food security, published in 2018. All documents are publicly available from the World Bank Project API, here: https://documents.worldbank.org/en/publication/documents-reports/api

    License: mit

      Uses
    

    Intended to be used in very short text… See the full description on the dataset page: https://huggingface.co/datasets/lodeawb/wbfns.

  17. k

    International Macroeconomic Dataset (2015 Base)

    • datasource.kapsarc.org
    Updated Oct 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). International Macroeconomic Dataset (2015 Base) [Dataset]. https://datasource.kapsarc.org/explore/dataset/international-macroeconomic-data-set-2015/
    Explore at:
    Dataset updated
    Oct 26, 2025
    Description

    TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

    Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

    Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

    Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

    Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

    Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

    Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

    Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

    Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

    BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

    Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

    USMCA/8 Canada, Mexico, United States

    Europe and Central Asia/9 Europe, Former Soviet Union

    Middle East and North Africa/10 Middle East and North Africa

    Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

    Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

    Indicator Source

    Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

    Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

    GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

    Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

    Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

  18. T

    United States - Gross Capital Formation (% Of GDP)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 10, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). United States - Gross Capital Formation (% Of GDP) [Dataset]. https://tradingeconomics.com/united-states/gross-capital-formation-percent-of-gdp-wb-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 10, 2017
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Gross capital formation (% of GDP) in United States was reported at 21.74 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Gross capital formation (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

  19. MIGA gross issuance 2023, by region

    • statista.com
    Updated Oct 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). MIGA gross issuance 2023, by region [Dataset]. https://www.statista.com/study/173727/world-bank/
    Explore at:
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    During 2023, the Multilateral Investment Guarantee Agency (MIGA), part of the World Bank Group, had over 6.4 billion U.S. dollars in gross issuance around the world. Regionally, Sub-Saharan Africa had the highest proportion of MIGA gross issuance, valued at over 1.9 billion U.S dollars. Latin America and the Caribbean followed closely behind with a gross issuance value of over 1.8 billion U.S. dollars.

  20. G

    GDP per capita, PPP in High income countries (World Bank classification) |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 2, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2021). GDP per capita, PPP in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_per_capita_ppp/WB-high/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Feb 2, 2021
    Dataset authored and provided by
    Globalen LLC
    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, 1990 - Dec 31, 2024
    Area covered
    World
    Description

    The average for 2024 based on 58 countries was 58042 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Barbados: 19946 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Naveena Paleti (2025). World Bank GDP by Country and Continent(2000–2025) [Dataset]. https://www.kaggle.com/datasets/naveenapaleti/world-bank-gdp-by-country-and-continent20002025
Organization logo

World Bank GDP by Country and Continent(2000–2025)

Country-level GDP (2000–2025) in current US dollars, mapped to 7 continents.

Explore at:
zip(26735 bytes)Available download formats
Dataset updated
Sep 24, 2025
Authors
Naveena Paleti
License

https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

Description

Context

This dataset provides country-level GDP (Gross Domestic Product) in current US dollars from 2000 to 2025, mapped to the seven classic continents (Asia, Africa, Europe, North America, South America, Australia, and Antarctica). It is designed to make global economic data easier to explore, compare, and visualize by combining both geographic and temporal dimensions.

GDP is one of the most widely used indicators to measure the size of an economy, its growth trends, and relative economic performance across regions.

Source

Data Provider: World Bank Open Data

Indicator Used: NY.GDP.MKTP.CD → GDP (current US$)

License: World Bank Dataset Terms of Use (aligned with CC BY 4.0)

Note: 2024–2025 values may be incomplete or missing for some countries, depending on World Bank publication updates.

Dataset Structure

Name of country → Country name

Continent → One of the 7 continents

2000–2025 → GDP values in current US$ (float, may contain missing values NaN)

Format: wide panel data (one row per country, one column per year).

Inspiration & Use Cases

This dataset was prepared to make economic analysis, visualization, and forecasting more accessible. It can be used for:

  • Time-series forecasting (predicting GDP growth into the future)
  • Cross-country comparisons (e.g., comparing GDP trends of India vs. USA vs. Brazil)
  • Continent-level aggregation (summing GDP by continent per year)
  • Data visualization (heatmaps, line charts, world choropleths)
  • Machine Learning applications (e.g., clustering countries by GDP trajectory)

Citation

If you use this dataset, please cite:

Source: World Bank, World Development Indicators (NY.GDP.MKTP.CD). Licensed under the World Bank Terms of Use.

Search
Clear search
Close search
Google apps
Main menu