100+ 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. Global GDP Per Capita (1990-2023) - World Bank

    • kaggle.com
    zip
    Updated Mar 19, 2025
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    Gaurav Kumar (2025). Global GDP Per Capita (1990-2023) - World Bank [Dataset]. https://www.kaggle.com/datasets/gauravkumar2525/global-gdp-per-capita-1990-2023-world-bank
    Explore at:
    zip(58130 bytes)Available download formats
    Dataset updated
    Mar 19, 2025
    Authors
    Gaurav Kumar
    License

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

    Description

    ABOUT

    The Global GDP Per Capita Dataset provides a comprehensive record of annual economic output per person across various countries and regions. It includes key economic indicators such as GDP per capita (adjusted for inflation and purchasing power parity), country codes, and yearly data points. This dataset is valuable for economists, researchers, policymakers, and analysts interested in studying economic growth, income distribution, and global development trends.

    Key features of the dataset:

    ✅ Covers multiple countries and regions worldwide
    ✅ Provides annual GDP per capita data from 1990 to 2023
    ✅ Adjusted for inflation and purchasing power parity (PPP, constant 2021$)
    ✅ Sourced from the World Bank - World Development Indicators
    ✅ Useful for economic analysis, policy-making, and financial forecasting

    This dataset serves as a crucial resource for understanding global economic trends, comparing living standards across nations, and making data-driven decisions in economic research and policy development.

    FILE INFORMATION

    The dataset consists of structured records related to GDP per capita, compiled from the World Bank’s World Development Indicators (WDI). Each file contains country-level economic data, including GDP per capita values in constant 2021 international dollars (PPP). This allows researchers, economists, and data analysts to study economic growth patterns and trends over time. The file type is CSV.

    COLUMNS DESCRIPTION

    • Entity – The country or region name.
    • Code – The country code (ISO Alpha-3 format or OWID custom code) [NOTE : missing value if there is no ISO Alpha-3 code].
    • Year – The year of the GDP observation (1990–2023).
    • GDP per capita (PPP, 2021$) – The economic output per person, adjusted for inflation and cost of living.

    This dataset provides valuable insights into economic trends over three decades, helping researchers analyze global income levels, economic development, and policy impacts.

  3. GDP (annual % growth)

    • data360.worldbank.org
    Updated Aug 9, 2025
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    World Bank (2025). GDP (annual % growth) [Dataset]. https://data360.worldbank.org/en/indicator/WB_WDI_NY_GDP_MKTP_KD_ZG?country=CHN&view=trend
    Explore at:
    Dataset updated
    Aug 9, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

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

    Time period covered
    1961 - 2024
    Area covered
    Eswatini, Seychelles, Pre-demographic dividend, Austria, Virgin Islands (U.S.), South Sudan, Turks and Caicos Islands, Australia, Tajikistan, Channel Islands
    Measurement technique
    National accounts are compiled in accordance with international standards: System of National Accounts, 2008 or 1993 versions. Specific information on how countries compile their national accounts can be found on the IMF website: https://dsbb.imf.org/
    Description

    Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.

  4. F

    Gross Domestic Product Per Capita for Least Developed Countries

    • fred.stlouisfed.org
    json
    Updated Oct 8, 2025
    + more versions
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    (2025). Gross Domestic Product Per Capita for Least Developed Countries [Dataset]. https://fred.stlouisfed.org/series/NYGDPPCAPCDLDC
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

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

    Description

    Graph and download economic data for Gross Domestic Product Per Capita for Least Developed Countries (NYGDPPCAPCDLDC) from 1960 to 2024 about per capita and GDP.

  5. World Bank Dataset

    • kaggle.com
    zip
    Updated Oct 20, 2024
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    Bhadra Mohit (2024). World Bank Dataset [Dataset]. https://www.kaggle.com/datasets/bhadramohit/world-bank-dataset
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    zip(5074 bytes)Available download formats
    Dataset updated
    Oct 20, 2024
    Authors
    Bhadra Mohit
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    This dataset simulates a set of key economic, social, and environmental indicators for 20 countries over the period from 2010 to 2019. The dataset is designed to reflect typical World Bank metrics, which are used for analysis, policy-making, and forecasting. It includes the following variables:

    Country Name: The country for which the data is recorded. Year: The specific year of the observation (from 2010 to 2019). GDP (USD): Gross Domestic Product in billions of US dollars, indicating the economic output of a country. Population: The total population of the country in millions. Life Expectancy (in years): The average life expectancy at birth for the country’s population. Unemployment Rate (%): The percentage of the total labor force that is unemployed but actively seeking employment. CO2 Emissions (metric tons per capita): The per capita carbon dioxide emissions, reflecting environmental impact. Access to Electricity (% of population): The percentage of the population with access to electricity, representing infrastructure development. Country:

    Description: Name of the country for which the data is recorded. Data Type: String Example: "United States", "India", "Brazil" Year:

    Description: The year in which the data is observed. Data Type: Integer Range: 2010 to 2019 Example: 2012, 2015 GDP (USD):

    Description: The Gross Domestic Product of the country in billions of US dollars, indicating the economic output. Data Type: Float (billions of USD) Example: 14200.56 (represents 14,200.56 billion USD) Population:

    Description: The total population of the country in millions. Data Type: Float (millions of people) Example: 331.42 (represents 331.42 million people) Life Expectancy (in years):

    Description: The average number of years a newborn is expected to live, assuming that current mortality rates remain constant throughout their life. Data Type: Float (years) Range: Typically between 50 and 85 years Example: 78.5 years Unemployment Rate (%):

    Description: The percentage of the total labor force that is unemployed but actively seeking employment. Data Type: Float (percentage) Range: Typically between 2% and 25% Example: 6.25% CO2 Emissions (metric tons per capita):

    Description: The amount of carbon dioxide emissions per person in the country, measured in metric tons. Data Type: Float (metric tons) Range: Typically between 0.5 and 20 metric tons per capita Example: 4.32 metric tons per capita Access to Electricity (%):

    Description: The percentage of the population with access to electricity. Data Type: Float (percentage) Range: Typically between 50% and 100% Example: 95.7%

  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. G

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

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 2, 2021
    + more versions
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    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.

  8. G

    Percent of world GDP in High income countries (World Bank classification) |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 20, 2021
    + more versions
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    Globalen LLC (2021). Percent of world GDP in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_share/WB-high/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 20, 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, 1980 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2023 based on 64 countries was 0.97 percent. The highest value was in the USA: 26.3 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

  9. F

    Gross Domestic Product for World

    • fred.stlouisfed.org
    json
    Updated Oct 8, 2025
    + more versions
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    (2025). Gross Domestic Product for World [Dataset]. https://fred.stlouisfed.org/series/NYGDPMKTPCDWLD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

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

    Area covered
    World
    Description

    Graph and download economic data for Gross Domestic Product for World (NYGDPMKTPCDWLD) from 1960 to 2024 about , and GDP.

  10. G

    GDP per unit of energy in Upper middle income countries (World Bank...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 25, 2021
    + more versions
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    Globalen LLC (2021). GDP per unit of energy in Upper middle income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/GDP_per_unit_of_energy/WB-high-mid/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Jan 25, 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, 2023
    Area covered
    World
    Description

    The average for 2015 based on 40 countries was 10.35 GDP per kg of oil equivalent. The highest value was in Dominican Republic: 18.55 GDP per kg of oil equivalent and the lowest value was in Turkmenistan: 3.42 GDP per kg of oil equivalent. The indicator is available from 1990 to 2023. Below is a chart for all countries where data are available.

  11. p

    World Development Indicators - Gross Domestic Product (GDP)

    • app.pollinatorhub.eu
    Updated Oct 6, 2025
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    World Bank Group (2025). World Development Indicators - Gross Domestic Product (GDP) [Dataset]. https://app.pollinatorhub.eu/dataset-discovery/GRSSD225.0.0
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    Dataset updated
    Oct 6, 2025
    Dataset provided by
    EU Pollinator Hub
    Authors
    World Bank Group
    License

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

    Description

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

  12. G

    Exports, percent of GDP in High income countries (World Bank classification)...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 31, 2021
    + more versions
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    Globalen LLC (2021). Exports, percent of GDP in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/exports/WB-high/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 31, 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 66.08 percent. The highest value was in Luxembourg: 217.77 percent and the lowest value was in the USA: 11.01 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

  13. G

    Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita

    • ceicdata.com
    Updated Sep 15, 2025
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    CEICdata.com (2025). Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita [Dataset]. https://www.ceicdata.com/en/germany/gross-domestic-product-annual-growth-rate/de-gdp-growth-household-final-consumption-expenditure-per-capita
    Explore at:
    Dataset updated
    Sep 15, 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, 2012 - Dec 1, 2023
    Area covered
    Germany
    Variables measured
    Gross Domestic Product
    Description

    Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita data was reported at -1.528 % in 2023. This records a decrease from the previous number of 3.171 % for 2022. Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita data is updated yearly, averaging 1.355 % from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 5.289 % in 1971 and a record low of -5.930 % in 2020. Germany DE: GDP: Growth: Household Final Consumption Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

  14. GDP & Crises Analysis Using World Bank Indicators

    • kaggle.com
    zip
    Updated May 8, 2025
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    Lam H Mai (2025). GDP & Crises Analysis Using World Bank Indicators [Dataset]. https://www.kaggle.com/datasets/lamhmai/gdp-1999-2023
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    zip(149397 bytes)Available download formats
    Dataset updated
    May 8, 2025
    Authors
    Lam H Mai
    Description

    Title: GDP & Crises Analysis Using World Bank Indicators

    **Source: **World Bank Open Data

    License: This dataset is provided by the World Bank Open Data initiative and is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

    Description: This dataset includes key global development indicators collected from the World Bank database. It covers country-level annual data on: - Gross Domestic Product (GDP, current US$) - Population - Poverty headcount ratio at national poverty line (% of population) - Natural Resource Rents (% of GDP)

    Objective: This project investigates how major global crises — specifically the 2008 Financial Crisis and the COVID-19 pandemic — influenced GDP across countries. The study also explores how structural factors like population size, poverty levels, and natural resource dependence relate to total GDP and GDP per capita.

    Key Research Questions: - How did GDP respond to the 2008 and COVID-19 crises across different regions? - What is the relationship between population and GDP versus GDP per capita? - How do poverty rates correlate with national income? - Does natural resource rent (as a share of GDP) positively or negatively relate to economic performance?

    Methods Used: - Descriptive statistics and trend analysis - Econometric modeling (linear regression, fixed effects models) - Interaction analysis (e.g., poverty × population) - Visualization using ggplot2

  15. F

    Financial System Deposits to GDP for Trinidad and Tobago

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Financial System Deposits to GDP for Trinidad and Tobago [Dataset]. https://fred.stlouisfed.org/series/DDDI08TTA156NWDB
    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
    Trinidad and Tobago
    Description

    Graph and download economic data for Financial System Deposits to GDP for Trinidad and Tobago (DDDI08TTA156NWDB) from 1960 to 2021 about Trinidad and Tobago, deposits, financial, and GDP.

  16. F

    Deposit Money Bank Assets to GDP for Viet Nam

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
    + more versions
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    (2024). Deposit Money Bank Assets to GDP for Viet Nam [Dataset]. https://fred.stlouisfed.org/series/DDDI02VNA156NWDB
    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
    Vietnam
    Description

    Graph and download economic data for Deposit Money Bank Assets to GDP for Viet Nam (DDDI02VNA156NWDB) from 1992 to 2021 about Viet Nam, deposits, assets, banks, depository institutions, and GDP.

  17. Gross Domestic Product Per Capita, 2016, from World Bank

    • hub.arcgis.com
    • fesec-cesj.opendata.arcgis.com
    • +1more
    Updated Jul 5, 2017
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    Urban Observatory by Esri (2017). Gross Domestic Product Per Capita, 2016, from World Bank [Dataset]. https://hub.arcgis.com/maps/UrbanObservatory::gross-domestic-product-per-capita-2016-from-world-bank/about
    Explore at:
    Dataset updated
    Jul 5, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map contains Gross Domestic Product - the total value of goods produced and services provided - by country, per capita in 2016, expressed in 2016 US Dollars. Expressing the GDP in "per capita" terms allows for better comparisons across countries. Total GDP is available in an accompanying map. GDP as a measure has been largely criticized as an incomplete measure of productivity and wealth, as it does not take into account production in the informal economy, quality of life, degradation to the environment, or income distribution. However, GDP is an internationally comparable measure, used in everything from banks setting interest rates to political campaign speeches.Source: World Bank, World Development Indicators.

  18. F

    Gross Domestic Product for Italy

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
    + more versions
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    (2025). Gross Domestic Product for Italy [Dataset]. https://fred.stlouisfed.org/series/MKTGDPITA646NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

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

    Area covered
    Italy
    Description

    Graph and download economic data for Gross Domestic Product for Italy (MKTGDPITA646NWDB) from 1960 to 2024 about Italy and GDP.

  19. GDP ranking, PPP based

    • datacatalog.worldbank.org
    csv, excel, pdf
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    World Development Indicators, The World Bank, GDP ranking, PPP based [Dataset]. https://datacatalog.worldbank.org/search/dataset/0038129/gdp-ranking-ppp-based
    Explore at:
    excel, csv, pdfAvailable 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 based on purchasing power parity (PPP)

  20. E

    Ethiopia ET: Domestic Credit: to Private Sector by Banks: % of GDP

    • ceicdata.com
    Updated Mar 15, 2018
    + more versions
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    CEICdata.com (2018). Ethiopia ET: Domestic Credit: to Private Sector by Banks: % of GDP [Dataset]. https://www.ceicdata.com/en/ethiopia/bank-loans/et-domestic-credit-to-private-sector-by-banks--of-gdp
    Explore at:
    Dataset updated
    Mar 15, 2018
    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, 1997 - Dec 1, 2008
    Area covered
    Ethiopia
    Description

    Ethiopia ET: Domestic Credit: to Private Sector by Banks: % of GDP data was reported at 17.645 % in 2008. This records a decrease from the previous number of 18.522 % for 2007. Ethiopia ET: Domestic Credit: to Private Sector by Banks: % of GDP data is updated yearly, averaging 6.348 % from Dec 1981 (Median) to 2008, with 28 observations. The data reached an all-time high of 20.446 % in 2006 and a record low of 1.474 % in 1991. Ethiopia ET: Domestic Credit: to Private Sector by Banks: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.WDI: Bank Loans. Domestic credit to private sector by banks refers to financial resources provided to the private sector by other depository corporations (deposit taking corporations except central banks), such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.; ; International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.; Weighted average;

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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
Organization logo

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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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.

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