100+ datasets found
  1. Rankings of Countries Dataset

    • kaggle.com
    zip
    Updated Jul 17, 2023
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    Shuv😈 (2023). Rankings of Countries Dataset [Dataset]. https://www.kaggle.com/datasets/shuvammandal121/global-country-rankings-dataset
    Explore at:
    zip(11539 bytes)Available download formats
    Dataset updated
    Jul 17, 2023
    Authors
    Shuv😈
    Description

    Content

    The "Global Country Rankings Dataset" is a comprehensive collection of metrics and indicators that ranks countries worldwide based on their socioeconomic performance. This datasets are providing valuable insights into the relative standings of nations in terms of key factors such as GDP per capita, economic growth, and various other relevant criteria.

    Researchers, analysts, and policymakers can leverage this dataset to gain a deeper understanding of the global economic landscape and track the progress of countries over time. The dataset covers a wide range of metrics, including but not limited to:

    Economic growth: the rate of change of real GDP- Country rankings: The average for 2021 based on 184 countries was 5.26 percent.The highest value was in the Maldives: 41.75 percent and the lowest value was in Afghanistan: -20.74 percent. The indicator is available from 1961 to 2021.

    GDP per capita, Purchasing Power Parity - Country rankings: The average for 2021 based on 182 countries was 21283.21 U.S. dollars.The highest value was in Luxembourg: 115683.49 U.S. dollars and the lowest value was in Burundi: 705.03 U.S. dollars. The indicator is available from 1990 to 2021.

    GDP per capita, current U.S. dollars - Country rankings: The average for 2021 based on 186 countries was 17937.03 U.S. dollars.The highest value was in Monaco: 234315.45 U.S. dollars and the lowest value was in Burundi: 221.48 U.S. dollars. The indicator is available from 1960 to 2021.

    GDP per capita, constant 2010 dollars - Country rankings: The average for 2021 based on 184 countries was 15605.8 U.S. dollars.The highest value was in Monaco: 204190.16 U.S. dollars and the lowest value was in Burundi: 261.02 U.S. dollars. The indicator is available from 1960 to 2021.

    source: https://www.theglobaleconomy.com/

  2. T

    GDP by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 29, 2011
    + more versions
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    TRADING ECONOMICS (2011). GDP by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gdp
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 29, 2011
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  3. πŸ’° Global GDP Dataset (Latest)

    • kaggle.com
    zip
    Updated Oct 17, 2025
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    Asadullah Shehbaz (2025). πŸ’° Global GDP Dataset (Latest) [Dataset]. https://www.kaggle.com/datasets/asadullahcreative/global-gdp-explorer-2024-world-bank-un-data
    Explore at:
    zip(6672 bytes)Available download formats
    Dataset updated
    Oct 17, 2025
    Authors
    Asadullah Shehbaz
    License

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

    Description

    🧾 About Dataset

    🌍 Global GDP by Country β€” 2024 Edition

    πŸ“– Overview

    The Global GDP by Country (2024) dataset provides an up-to-date snapshot of worldwide economic performance, summarizing each country’s nominal GDP, growth rate, population, and global economic contribution.

    This dataset is ideal for economic analysis, data visualization, policy modeling, and machine learning applications related to global development and financial forecasting.

    πŸ“Š Dataset Information

    • Total Records: 181 countries
    • Time Period: 2024 (latest available global data)
    • Geographic Coverage: Worldwide
    • File Format: CSV
    • File Size: ~10 KB
    • Missing Values: None (100% complete dataset)

    🎯 Target Use-Cases:
    - Economic growth trend analysis
    - GDP-based country clustering
    - Per capita wealth comparison
    - Share of world economy visualization

    🧩 Key Features

    Feature NameDescription
    CountryOfficial country name
    GDP (nominal, 2023)Total nominal GDP in USD
    GDP (abbrev.)Simplified GDP format (e.g., β€œ$25.46 Trillion”)
    GDP GrowthAnnual GDP growth rate (%)
    Population 2023Estimated population for 2023
    GDP per capitaAverage income per person (USD)
    Share of World GDPPercentage contribution to global GDP

    πŸ“ˆ Statistical Summary

    Population Overview

    • Mean Population: 43.6 million
    • Standard Deviation: 155.5 million
    • Minimum Population: 9,816 (small island nations)
    • Median Population: 9.1 million
    • Maximum Population: 1.43 billion (China)

    🌟 Highlights

    πŸ’° Top Economies (Nominal GDP):
    United States, China, Japan, Germany, India

    πŸ“ˆ Fastest Growing Economies:
    India, Bangladesh, Vietnam, and Rwanda

    🌐 Global Insights:
    - The dataset covers 181 countries representing 100% of global GDP.
    - Suitable for data visualization dashboards, AI-driven economic forecasting, and educational research.

    πŸ’‘ Example Use-Cases

    • Build a choropleth map showing GDP distribution across continents.
    • Train a regression model to predict GDP per capita based on population and growth.
    • Compare economic inequality using population vs GDP share.

    πŸ“š Dataset Citation

    Source: Worldometers β€” GDP by Country (2024)
    Dataset compiled and cleaned by: Asadullah Shehbaz
    For open research and data analysis.

  4. T

    GDP by Country in AMERICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP by Country in AMERICA [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=america
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 30, 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
    2025
    Area covered
    United States
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  5. 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 β†’ 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 β†’ Country name

    Continent β†’ One of the 7 continents

    2000–2025 β†’ 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.

  6. GDP ranking

    • datacatalog.worldbank.org
    csv, excel, pdf
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    World Development Indicators, The World Bank, GDP ranking [Dataset]. https://datacatalog.worldbank.org/search/dataset/0038130/gdp-ranking
    Explore at:
    pdf, excel, csvAvailable download formats
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    Gross domestic product ranking table.

  7. List of Countries by GDP Sector Composition

    • kaggle.com
    zip
    Updated Mar 20, 2023
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    Raj Kumar Pandey (2023). List of Countries by GDP Sector Composition [Dataset]. https://www.kaggle.com/datasets/rajkumarpandey02/list-of-countries-by-gdp-sector-composition
    Explore at:
    zip(8122 bytes)Available download formats
    Dataset updated
    Mar 20, 2023
    Authors
    Raj Kumar Pandey
    License

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

    Description

    CONTENT

    The figures are based on GDP (Nominal) and sector composition ratios provided by the CIA World Fact Book. Agriculture includes farming, fishing, and forestry. Industry includes mining, manufacturing, energy production, and construction. Services cover government activities, communications, transportation, finance, and all other private economic activities that do not produce material goods.

    CONTEXT

    • Agriculture Sector : Agriculture Sector contributes 6.4 percent of total world's economic production. Total production of sector is $5,084,800 million. China is the largest contributer followed by India. China and India accounts for 19.49 and 7.39 percent of total global agricultural output. World's largest economy United States is at third place. Next in line come Brazil and Indonesia

    • **Industry Sector : **With GDP of $23,835 billion, Industry Sector holds a share of 30% of total GDP nominal. China is the largest contributor followed by US. Japan is at 3rd and Germany is at 4th place. These four countries contributes 45.84 of total global industrial output.

    • Services Sector : Services sector is the largest sector of the world as 63 percent of total global wealth comes from services sector. United States is the largest producer of services sector with around 15.53 trillion USD. Services sector is the leading sector in 201 countries/economies. 30 countries receive more than 80 percent of their GDP from services sector. Chad has lowest 27% contribution by services sector in its economy.

  8. T

    GDP by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 13, 2025
    + more versions
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    TRADING ECONOMICS (2025). GDP by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=asia
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Nov 13, 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
    2025
    Area covered
    Asia
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. T

    GDP by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=europe
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 30, 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
    2025
    Area covered
    Europe
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  10. 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/
    Explore at:
    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.

  11. List of Countries by nominal GDP

    • kaggle.com
    zip
    Updated Jun 21, 2023
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    Jordan D'Souza (2023). List of Countries by nominal GDP [Dataset]. https://www.kaggle.com/datasets/jordandsouza/list-of-countries-by-nominal-gdp
    Explore at:
    zip(19090 bytes)Available download formats
    Dataset updated
    Jun 21, 2023
    Authors
    Jordan D'Souza
    Description

    This dataset provides a comprehensive list of countries ranked by their nominal Gross Domestic Product (GDP). It includes key information such as the country's GDP value, ranking and year of measurement along with estimates done by IMF, World Bank and UN. You can utilize this dataset to analyze economic trends, compare country performance, and gain a deeper understanding of the global economic landscape. Please upvote if you find it useful.

  12. d

    Country, Regional and World GDP (Gross Domestic Product)

    • datahub.io
    Updated Aug 29, 2017
    + more versions
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    (2017). Country, Regional and World GDP (Gross Domestic Product) [Dataset]. https://datahub.io/core/gdp
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    Dataset updated
    Aug 29, 2017
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    World
    Description

    Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV.

  13. T

    GDP by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=africa
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 27, 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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  14. Macro-Economic Indicators Dataset (Country-Level)

    • kaggle.com
    zip
    Updated Mar 9, 2025
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    Vesela Gencheva (2025). Macro-Economic Indicators Dataset (Country-Level) [Dataset]. https://www.kaggle.com/datasets/veselagencheva/macro-economic-indicators-dataset-country-level
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    zip(10693 bytes)Available download formats
    Dataset updated
    Mar 9, 2025
    Authors
    Vesela Gencheva
    Description

    This dataset provides a comprehensive view of global economic trends, combining multiple essential indicators for analysis and research. The data focuses on the period from 2020 to 2023 and includes two key components:

    1. GDP Per Capita and Inflation (2020–2023)

    Scope: Yearly GDP per capita (in USD) and inflation rates per countries over the four-year period.

    1. Population (2023)

    Scope: The total population of each country at the end of 2023.

    The dataset is meticulously compiled from trusted sources:

    GDP per capita and inflation data are sourced from the World Bank national accounts data and OECD National Accounts data files.

    Population data is derived from the World Bank Data Catalog (Population Ranking).

    Potential Applications

    Analyze the impact of inflation on economic growth during and after the pandemic.

    Examine relationships between GDP per capita and population size.

    Compare economic indicators across countries and regions.

    Key Features: Clean, structured, and ready-to-use format.

    Country-level granularity for detailed comparisons.

    Suitable for trend analysis, visualizations, and predictive modeling.

    Licensing: This dataset is licensed under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. You are free to copy, modify, and distribute the data for any purpose, including commercial use, as long as appropriate credit is given to the World Bank.

  15. Z

    Global Country Information 2023

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jun 15, 2024
    + more versions
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    Elgiriyewithana, Nidula (2024). Global Country Information 2023 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8165228
    Explore at:
    Dataset updated
    Jun 15, 2024
    Authors
    Elgiriyewithana, Nidula
    License

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

    Description

    Description

    This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

    Key Features

    Country: Name of the country.

    Density (P/Km2): Population density measured in persons per square kilometer.

    Abbreviation: Abbreviation or code representing the country.

    Agricultural Land (%): Percentage of land area used for agricultural purposes.

    Land Area (Km2): Total land area of the country in square kilometers.

    Armed Forces Size: Size of the armed forces in the country.

    Birth Rate: Number of births per 1,000 population per year.

    Calling Code: International calling code for the country.

    Capital/Major City: Name of the capital or major city.

    CO2 Emissions: Carbon dioxide emissions in tons.

    CPI: Consumer Price Index, a measure of inflation and purchasing power.

    CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.

    Currency_Code: Currency code used in the country.

    Fertility Rate: Average number of children born to a woman during her lifetime.

    Forested Area (%): Percentage of land area covered by forests.

    Gasoline_Price: Price of gasoline per liter in local currency.

    GDP: Gross Domestic Product, the total value of goods and services produced in the country.

    Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.

    Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.

    Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.

    Largest City: Name of the country's largest city.

    Life Expectancy: Average number of years a newborn is expected to live.

    Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.

    Minimum Wage: Minimum wage level in local currency.

    Official Language: Official language(s) spoken in the country.

    Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.

    Physicians per Thousand: Number of physicians per thousand people.

    Population: Total population of the country.

    Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.

    Tax Revenue (%): Tax revenue as a percentage of GDP.

    Total Tax Rate: Overall tax burden as a percentage of commercial profits.

    Unemployment Rate: Percentage of the labor force that is unemployed.

    Urban Population: Percentage of the population living in urban areas.

    Latitude: Latitude coordinate of the country's location.

    Longitude: Longitude coordinate of the country's location.

    Potential Use Cases

    Analyze population density and land area to study spatial distribution patterns.

    Investigate the relationship between agricultural land and food security.

    Examine carbon dioxide emissions and their impact on climate change.

    Explore correlations between economic indicators such as GDP and various socio-economic factors.

    Investigate educational enrollment rates and their implications for human capital development.

    Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.

    Study labor market dynamics through indicators such as labor force participation and unemployment rates.

    Investigate the role of taxation and its impact on economic development.

    Explore urbanization trends and their social and environmental consequences.

  16. T

    LEADING ECONOMIC INDEX by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 22, 2014
    + more versions
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    TRADING ECONOMICS (2014). LEADING ECONOMIC INDEX by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/leading-economic-index
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Aug 22, 2014
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for LEADING ECONOMIC INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  17. T

    GDP FROM MINING by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 3, 2016
    + more versions
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    TRADING ECONOMICS (2016). GDP FROM MINING by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gdp-from-mining
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Feb 3, 2016
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for GDP FROM MINING reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  18. T

    GDP ANNUAL GROWTH RATE by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP ANNUAL GROWTH RATE by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/gdp-annual-growth-rate?continent=europe
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 28, 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
    2025
    Area covered
    Europe
    Description

    This dataset provides values for GDP ANNUAL GROWTH RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  19. GDP-BY-COUNTRY-2022

    • kaggle.com
    zip
    Updated Oct 24, 2024
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    Muneeb_Qureshi3131 (2024). GDP-BY-COUNTRY-2022 [Dataset]. https://www.kaggle.com/datasets/muneebqureshi3131/gdp-by-country/code
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    zip(6044 bytes)Available download formats
    Dataset updated
    Oct 24, 2024
    Authors
    Muneeb_Qureshi3131
    License

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

    Description

    This dataset provides key economic indicators for five of the world's largest economies, based on their nominal Gross Domestic Product (GDP) in 2022. It includes the GDP values, population, GDP growth rates, per capita GDP, and each country's share of the global economy.

    Columns: Country: Name of the country. GDP (nominal, 2022): The total nominal GDP in 2022, represented in USD. GDP (abbrev.): The abbreviated GDP in trillions of USD. GDP growth: The percentage growth in GDP compared to the previous year. Population: Total population of each country in 2022. GDP per capita: The GDP per capita, representing average economic output per person in USD. Share of world GDP: The percentage of global GDP contributed by each country. Key Highlights: The dataset includes some of the largest global economies, such as the United States, China, Japan, Germany, and India. The data can be used to analyze the economic standing of countries in terms of overall GDP and per capita wealth. It offers insights into the relative growth rates and population sizes of these leading economies. This dataset is ideal for exploring economic trends, performing country-wise comparisons, or studying the relationship between population size and GDP growth.

  20. top 100 country economies

    • kaggle.com
    zip
    Updated Oct 19, 2024
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    Aamir (2024). top 100 country economies [Dataset]. https://www.kaggle.com/datasets/mohdamir168/top-100-country-economies
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    zip(1374 bytes)Available download formats
    Dataset updated
    Oct 19, 2024
    Authors
    Aamir
    License

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

    Description

    Dataset Description: Top 100 Countries with the Best Economies Overview This dataset provides a comprehensive analysis of the top 100 countries with the strongest economies worldwide. It includes various economic indicators that reflect the overall economic health and performance of these nations. The data aims to facilitate research, analysis, and comparison of economic strength across countries.

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Shuv😈 (2023). Rankings of Countries Dataset [Dataset]. https://www.kaggle.com/datasets/shuvammandal121/global-country-rankings-dataset
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Rankings of Countries Dataset

Exploring the Socioeconomic Landscape: A Ranking of Countries based on GDP

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zip(11539 bytes)Available download formats
Dataset updated
Jul 17, 2023
Authors
Shuv😈
Description

Content

The "Global Country Rankings Dataset" is a comprehensive collection of metrics and indicators that ranks countries worldwide based on their socioeconomic performance. This datasets are providing valuable insights into the relative standings of nations in terms of key factors such as GDP per capita, economic growth, and various other relevant criteria.

Researchers, analysts, and policymakers can leverage this dataset to gain a deeper understanding of the global economic landscape and track the progress of countries over time. The dataset covers a wide range of metrics, including but not limited to:

Economic growth: the rate of change of real GDP- Country rankings: The average for 2021 based on 184 countries was 5.26 percent.The highest value was in the Maldives: 41.75 percent and the lowest value was in Afghanistan: -20.74 percent. The indicator is available from 1961 to 2021.

GDP per capita, Purchasing Power Parity - Country rankings: The average for 2021 based on 182 countries was 21283.21 U.S. dollars.The highest value was in Luxembourg: 115683.49 U.S. dollars and the lowest value was in Burundi: 705.03 U.S. dollars. The indicator is available from 1990 to 2021.

GDP per capita, current U.S. dollars - Country rankings: The average for 2021 based on 186 countries was 17937.03 U.S. dollars.The highest value was in Monaco: 234315.45 U.S. dollars and the lowest value was in Burundi: 221.48 U.S. dollars. The indicator is available from 1960 to 2021.

GDP per capita, constant 2010 dollars - Country rankings: The average for 2021 based on 184 countries was 15605.8 U.S. dollars.The highest value was in Monaco: 204190.16 U.S. dollars and the lowest value was in Burundi: 261.02 U.S. dollars. The indicator is available from 1960 to 2021.

source: https://www.theglobaleconomy.com/

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