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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.
✅ 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.
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.
This dataset provides valuable insights into economic trends over three decades, helping researchers analyze global income levels, economic development, and policy impacts.
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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.
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Graph and download economic data for Gross Domestic Product Per Capita for World (NYGDPPCAPCDWLD) from 1960 to 2024 about per capita and GDP.
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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%
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GDP data is gathered from World Bank. Data may be used for academic research or for self-learn. More than +200 country GDP is used between the years 1960-2020.
Data can be used for processing, analyzing, and visualizing various GDP types for various countries for a given year.
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Graph and download economic data for Constant GDP per capita for Low and Middle Income Countries (NYGDPPCAPKDLMY) from 1960 to 2024 about per capita, income, and GDP.
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This is the dataset for 2021 world biased/unbiased per capita GDP including ranking. The original data (country, code, population, GDP) was downloaded from the World Bank with date 12/22/2022.
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Every country strives to be economically stronger, as a strong economy tends bring better outcomes for the citizens of the country.
Yearly Per Capita GDP is a good indicator of a country's economic strength.
The following dataset has the Yearly Per Capita GDP of most countries from 1960 to 2020. It was downloaded from The World Bank Website.
https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
Note: The World Bank does not report the Yearly Per Capita GDP of some countries, for example, Taiwan.
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https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products.
Data are in current U.S. dollars.
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GDP per capita (current US$) in Chad was reported at 1016 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Chad - GDP per capita - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.
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GDP per capita (current US$) in Hong Kong was reported at 54107 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Hong Kong - GDP per capita - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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This dataset provides a comprehensive collection of time series data sourced from the World Bank Open Data Platform, covering a wide range of global indicators from 1960 to the most recently published year. It includes economic, social, environmental, and demographic metrics, making it an ideal resource for researchers, data scientists, and policymakers interested in global development trends, economic forecasting, or socio-economic analysis.
A tutorial on how to combined the dataset topics together into one large dataset can be found here
My motivation for this project was to curate a high-quality collection of datasets for World Bank indicators organized by topics and structured in time-series, making them more accessible for data science projects. Since the World Bank’s Kaggle datasets have not been updated since 2019 https://www.kaggle.com/organizations/theworldbank, I saw an opportunity to provide more current data for the data analysis community.
This collection brings together more than 800 World Bank indicators organized into 18 topic‑specific CSV files. Each file is structured as a country‑year panel: every row represents a unique combination of year (1960‑present) and ISO‑3 country code, while the columns hold the topic’s indicators.
The collection includes datasets with a variety of indicators, such as:
- Economic Metrics: GDP growth (%), GDP per capita, consumer price inflation, merchandise trade, gross capital formation, and more.
- Social Metrics: School enrollment (primary, secondary, tertiary), infant mortality rate, maternal mortality rate, poverty headcount, and more.
- Environmental Metrics: Forest area, renewable energy consumption, food production indices, and more.
- Demographic Metrics: Urban population, life expectancy, net migration, and more.
This dataset is ideal for a variety of applications, including:
- Economic forecasting and trend analysis (e.g., GDP growth, inflation).
- Socio-economic studies (e.g., education, health, poverty).
- Environmental impact analysis (e.g., renewable energy adoption).
- Demographic research (e.g., population trends, migration).
Topic datasets can be merged with each other using year and country code. This tutorial with notebook code can help you get started quickly.
The data is collected via a custom software application that discovers and groups high-quality indicators with rules-based logic & artificial intelligence, generates metadata, and performs ETL for the data from the World Bank API. The result is a clean, up‑to‑date collection of World Bank indicators in time-series format that is ready for analysis—no manual downloads or data wrangling required.
The original World Bank data has been aggregated and transformed for ease of use. Missing values have been preserved as provided by the World Bank, and no significant transformations have been applied beyond formatting and aggregation into a single file.
The World Bank: World Development Indicators
This dataset is publicly available and sourced from the World Bank Open Data Platform and is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. When using this data, please attribute the World Bank as follows: "Data sourced from the World Bank, licensed under CC BY 4.0." For more details on the World Bank’s terms of use, visit: https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets.
This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Feel free to use this data in Kaggle notebooks, academic research, or policy analysis. If you create a derived dataset or analysis, I encourage you to share it with the Kaggle community.
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GDP per capita, PPP (current international $) in Latvia was reported at 43867 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Latvia - GDP per capita, PPP (current international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.
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Germany DE: GDP: Real: per Capita data was reported at 39,960.579 EUR in 2023. This records an increase from the previous number of 39,819.663 EUR for 2022. Germany DE: GDP: Real: per Capita data is updated yearly, averaging 27,920.436 EUR from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 39,960.579 EUR in 2023 and a record low of 11,356.630 EUR in 1960. Germany DE: GDP: Real: 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: Real. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;
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Switzerland GDP: per Capita data was reported at 78,962.126 CHF in 2017. This records an increase from the previous number of 78,699.540 CHF for 2016. Switzerland GDP: per Capita data is updated yearly, averaging 56,763.677 CHF from Dec 1960 (Median) to 2017, with 48 observations. The data reached an all-time high of 79,343.778 CHF in 2014 and a record low of 7,816.038 CHF in 1960. Switzerland GDP: per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank.WDI: Gross Domestic Product: Nominal. GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;
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Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 4,770.000 USD in 2017. This records a decrease from the previous number of 5,420.000 USD for 2016. Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 3,710.000 USD from Dec 1980 (Median) to 2017, with 23 observations. The data reached an all-time high of 7,030.000 USD in 1990 and a record low of 2,020.000 USD in 2006. Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iraq – Table IQ.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;
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GDP per capita, PPP (constant 2017 international $) in Thailand was reported at 21737 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - GDP per capita, PPP (constant 2005 international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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GDP per capita, PPP (current international $) in Ethiopia was reported at 3278 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ethiopia - GDP per capita, PPP (current international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.
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Trinidad and Tobago TT: GDP: per Capita data was reported at 109,328.732 TTD in 2017. This records an increase from the previous number of 108,973.730 TTD for 2016. Trinidad and Tobago TT: GDP: per Capita data is updated yearly, averaging 16,898.990 TTD from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 133,260.553 TTD in 2008 and a record low of 1,082.289 TTD in 1960. Trinidad and Tobago TT: GDP: per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Gross Domestic Product: Nominal. GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;
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Australia GDP: Real: per Capita data was reported at 96,309.614 AUD in 2023. This records an increase from the previous number of 95,411.776 AUD for 2022. Australia GDP: Real: per Capita data is updated yearly, averaging 57,211.197 AUD from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 96,309.614 AUD in 2023 and a record low of 30,914.634 AUD in 1962. Australia GDP: Real: per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Gross Domestic Product: Real. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;
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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.
✅ 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.
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.
This dataset provides valuable insights into economic trends over three decades, helping researchers analyze global income levels, economic development, and policy impacts.