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

    • kaggle.com
    zip
    Updated Sep 24, 2025
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    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. k

    Real GDP Growth Projections

    • datasource.kapsarc.org
    Updated Sep 24, 2025
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    (2025). Real GDP Growth Projections [Dataset]. https://datasource.kapsarc.org/explore/dataset/real-gdp-growth-projections/
    Explore at:
    Dataset updated
    Sep 24, 2025
    Description

    Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

    growth rate, Real, COVID-19, GDP

    Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

  3. k

    International Macroeconomic Dataset (2015 Base)

    • datasource.kapsarc.org
    Updated Oct 26, 2025
    + more versions
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    (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.

  4. 🌍 Country Comparison Dataset (USA & More) 🌍

    • kaggle.com
    Updated Sep 10, 2024
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    Waqar Ali (2024). 🌍 Country Comparison Dataset (USA & More) 🌍 [Dataset]. https://www.kaggle.com/datasets/waqi786/country-comparison-dataset-usa-and-more
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Waqar Ali
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.

    🔍 Key Comparisons:

    Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.

    ✨ Key Features:

    Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.

  5. k

    World Competitiveness Ranking based on Criteria

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Mar 13, 2024
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    (2024). World Competitiveness Ranking based on Criteria [Dataset]. https://datasource.kapsarc.org/explore/dataset/world-competitiveness-ranking-based-on-criteria-2016/
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    Dataset updated
    Mar 13, 2024
    Description

    Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

    Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

    Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

    Follow data.kapsarc.org for timely data to advance energy economics research.

  6. k

    Macro-Statistics / Macro Indicators

    • datasource.kapsarc.org
    Updated Sep 4, 2025
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    (2025). Macro-Statistics / Macro Indicators [Dataset]. https://datasource.kapsarc.org/explore/dataset/macro-statistics-macro-indicators-1970-2014/
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    Dataset updated
    Sep 4, 2025
    Description

    Explore macroeconomic statistics and indicators, including GDP, Gross Fixed Capital Formation, National Income, and more. This dataset covers a wide range of countries such as Afghanistan, Albania, Algeria, Australia, Brazil, China, Germany, India, United States, and many more.

    GDP, Gross Domestic Product, Capita, GFCF, Gross Fixed Capital Formation, Value, Added, Gross, Output, National, Income, Manufacturing, Agriculture, Population, National Accounts

    Afghanistan, Albania, Algeria, Andorra, 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, Comoros, Congo, Costa Rica, Croatia, Cuba, Cyprus, Czechia, Democratic Republic of the Congo, 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, Kiribati, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkmenistan, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States of America, Uruguay, Uzbekistan, Vanuatu, Venezuela, Yemen, Zambia, Zimbabwe

    Follow data.kapsarc.org for timely data to advance energy economics research.

  7. k

    Penn World Table 10.01

    • data.kapsarc.org
    • datasource.kapsarc.org
    Updated Oct 29, 2024
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    (2024). Penn World Table 10.01 [Dataset]. https://data.kapsarc.org/explore/dataset/penn-world-table-90/?flg=ar-001
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    Dataset updated
    Oct 29, 2024
    License

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

    Description

    Explore the Penn World Table dataset featuring key economic indicators like real GDP, population, human capital index, and more. Access detailed information and analysis for various countries.

    Expenditure, GDP, PPP, output, Population, working hours, Index, Household, Consumption, Capital , IRR, prices

    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, Comoros, Congo, Costa Rica, Croatia, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, 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, Latvia, Lebanon, Lesotho, Liberia, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Venezuela, Yemen, Zambia, Zimbabwe, World Follow data.kapsarc.org for timely data to advance energy economics research. When using these data, please refer to the following paper:Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt

  8. T

    India GDP From Mining

    • de.tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 11, 2025
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    TRADING ECONOMICS (2025). India GDP From Mining [Dataset]. https://de.tradingeconomics.com/india/gdp-from-mining
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Sep 11, 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
    Jun 30, 2011 - Jun 30, 2025
    Area covered
    Indien
    Description

    Das BIP aus dem Bergbau in Indien sank im zweiten Quartal 2025 von 1.013,49 INR Milliarden im ersten Quartal 2025 auf 873,27 INR Milliarden. Diese Seite bietet - Indiens BIP aus Bergbau - tatsächliche Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.

  9. T

    India GDP From Agriculture

    • de.tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 17, 2023
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    TRADING ECONOMICS (2023). India GDP From Agriculture [Dataset]. https://de.tradingeconomics.com/india/gdp-from-agriculture
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Dec 17, 2023
    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
    Jun 30, 2011 - Jun 30, 2025
    Area covered
    Indien
    Description

    Das BIP aus der Landwirtschaft in Indien sank im zweiten Quartal 2025 von 6773,89 INR Milliarden im ersten Quartal 2025 auf 5683,74 INR Milliarden. Diese Seite bietet - Indien BIP aus Landwirtschaft - tatsächliche Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.

  10. T

    India GDP From Utilities

    • de.tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, India GDP From Utilities [Dataset]. https://de.tradingeconomics.com/india/gdp-from-utilities
    Explore at:
    excel, csv, json, xmlAvailable download formats
    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
    Jun 30, 2011 - Jun 30, 2025
    Area covered
    Indien
    Description

    Das BIP aus dem Versorgungssektor in Indien stieg im zweiten Quartal 2025 von 1000,44 INR Milliarden im ersten Quartal 2025 auf 1064,70 INR Milliarden. Diese Seite bietet - Indiens BIP aus Versorgungsunternehmen - tatsächliche Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.

  11. T

    India GDP From Construction

    • de.tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). India GDP From Construction [Dataset]. https://de.tradingeconomics.com/india/gdp-from-construction
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Sep 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
    Jun 30, 2011 - Jun 30, 2025
    Area covered
    Indien
    Description

    Das BIP aus dem Bauwesen in Indien sank im zweiten Quartal 2025 von 4636,41 INR Milliarden im ersten Quartal 2025 auf 3980,32 INR Milliarden. Diese Seite bietet - Indien BIP aus Bauwesen - tatsächliche Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.

  12. T

    India GDP From Manufacturing

    • de.tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 2, 2025
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    TRADING ECONOMICS (2025). India GDP From Manufacturing [Dataset]. https://de.tradingeconomics.com/india/gdp-from-manufacturing
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Sep 2, 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
    Jun 30, 2011 - Jun 30, 2025
    Area covered
    Indien
    Description

    Das BIP aus dem verarbeitenden Gewerbe in Indien sank im zweiten Quartal 2025 von 8299,55 INR Milliarden im ersten Quartal 2025 auf 7613,94 INR Milliarden. Diese Seite bietet - Indien BIP aus Fertigung - tatsächliche Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.

  13. T

    India GDP From Public Administration

    • de.tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, India GDP From Public Administration [Dataset]. https://de.tradingeconomics.com/india/gdp-from-public-administration
    Explore at:
    xml, csv, json, excelAvailable download formats
    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
    Jun 30, 2011 - Jun 30, 2025
    Area covered
    Indien
    Description

    Das BIP aus der öffentlichen Verwaltung in Indien sank im zweiten Quartal 2025 von 5623,82 INR Milliarden im ersten Quartal 2025 auf 5614,13 INR Milliarden. Diese Seite bietet - Indiens BIP aus der öffentlichen Verwaltung - tatsächliche Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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

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

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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.

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