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.

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.

Graph and download economic data for Constant GDP per capita for Lower Middle Income Countries (NYGDPPCAPKDLMC) from 1960 to 2024 about per capita, income, and GDP.

Graph and download economic data for Constant GDP per capita for High Income Countries (NYGDPPCAPKDHIC) from 1960 to 2024 about per capita, income, and GDP.

Belgium BE: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 8.100 % in 2021. This records an increase from the previous number of 7.900 % for 2020. Belgium BE: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 9.100 % from Dec 1985 (Median) to 2021, with 25 observations. The data reached an all-time high of 10.500 % in 2015 and a record low of 6.000 % in 1985. Belgium BE: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belgium – Table BE.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.

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.

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;

The World Bank is a treasure trove of information. :- https://data.worldbank.org/

Generally the Gross Domestic Product of a country = the total output of the country = measure of development/total affluence of the country is measured by indicators such as household spending, government spending, level of investments etc.

Please see Bank of England explanation of GDP here :- http://edu.bankofengland.co.uk/knowledgebank/what-is-gdp/

I have argued that GDP could instead be measured better by primary indicators that lead to these what I call "secondary indicators".

Primary indicators are such as :- level of education. I hypothesize that a higher level of education leads to higher household income and hence higher household spending. So does knowing education levels of a country allow us to predict the GDP of the country?

I have used the list of primary indicators below to do a regression of the GDP per person :- (1) Women making informed choices regarding healthcare - The null hypotheses (H0)----> is the higher the level of women's education - the higher the level of national education and lesser infant mortality rates(which might be a stretch) and hence higher household income --> higher household spending ---> higher GDP. (2) Rural Population % - The null hypotheses (H0) is -----> higher rural population ----> lower per capita household income----> lower level of household spending----> lower GDP. (3) Ratio of Population having education ----> similar to above. You get the point hopefully by now... if not read a introductory macroeconomics textbook or course like this :- https://www.edx.org/course/introduction-economics-macroeconomics-snux-snu044-088-2x-0 (4) Legal Rights Strength Index-----> This actually comes from Islam. In Islam - the affluence of a country is related to truthfulness, rule of law being abided in the country etc.. For those who can understand Urdu/Hindi - please watch this video :- https://www.youtube.com/watch?v=XLjicUv0KYs (5) Credit to Private Sector -----> easier it is to open a business, work on ideas-----> higher should be the output of the country (6) Births attended by Skilled Staff ------> less infant mortality ----> indicates higher level of education and health care in the country ------> can indicate higher government spending among other factors ------>and should translate to higher level of GDP. (6) ATMMachines Ratio per 1000 people ---------> Higher level -----> shows finance is easily available -----> institutions are developed -----> maybe even indicates better public infrastructure-----> should indicate higher personal and government funding. (7) Agricultural Machines per hectare of land ------> higher automation -----> better access to finance for rural areas ------> should lead to higher GDP. (8) Literacy Rate Adults -----> the higher level of education in adults ----> higher private spending -----> should lead to higher GDP. (9) Accounts Ratio Financial Institutions -----> how many people have bank accounts who are male and over 15 ------> shows level of private spending-----> level of finance and infrastructure and hence government funding maybe -----> higher GDP.

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.

The average for 2024 based on 177 countries was 27291 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Burundi: 836 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

🧾 About Dataset

🌍 Global GDP by Country — 2024 Edition

📖 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.

📊 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

📈 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

💰 Top Economies (Nominal GDP):
United States, China, Japan, Germany, India

📈 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.

💡 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.

📚 Dataset Citation

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

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.

The average for 2024 based on 18 countries was 55.07 percent. The highest value was in Puerto Rico: 75.99 percent and the lowest value was in Brunei: 28.5 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

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The World Bank, the World Inequality Database (WID), and the Luxembourg Income Study (LIS) are all sources of data on poverty and inequality. They differ in terms of the income measure they use, the countries they cover, and the frequency of their data updates.

The World Bank uses a measure of income after taxes and transfers, which is called disposable income. It covers a wide range of countries, but the data is not updated as frequently as the data from the other two sources. The WID uses a measure of net national income after taxes, which is called net national income per adult. It covers a smaller range of countries than the World Bank, but the data is updated more frequently. The LIS uses a measure of disposable household income per capita. It covers a smaller range of countries than the World Bank or the WID, but the data is very detailed and goes back further in time. In general, the LIS data is considered to be the most reliable source of data on poverty and inequality. However, the World Bank and WID data are also useful, especially for countries that are not covered by the LIS.

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

Lebanon LB: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 10.700 % in 2011. Lebanon LB: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 10.700 % from Dec 2011 (Median) to 2011, with 1 observations. The data reached an all-time high of 10.700 % in 2011 and a record low of 10.700 % in 2011. Lebanon LB: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Context : - A country's gross domestic product (GDP) at purchasing power parity (PPP) per capita is the PPP value of all final goods and services produced within an economy in a given year, divided by the average (or mid-year) population for the same year. This is similar to nominal GDP per capita, but adjusted for the cost of living in each country.

• In 2019, the estimated average GDP per capita (PPP) of all of the countries of the world was Int$ 18,381.[a] For rankings regarding wealth.

Method

• The gross domestic product (GDP) per capita figures on this page are derived from PPP calculations. Such calculations are prepared by various organizations, including the IMF and the World Bank. As estimates and assumptions have to be made, the results produced by different organizations for the same country are not hard facts and tend to differ, sometimes substantially, so they should be used with caution.

• Comparisons of national wealth are frequently made on the basis of nominal GDP and savings (not just income), which do not reflect differences in the cost of living in different countries (see List of countries by GDP (nominal) per capita); hence, using a PPP basis is arguably more useful when comparing generalized differences in living standards between economies because PPP takes into account the relative cost of living and the inflation rates of the countries, rather than using only exchange rates, which may distort the real differences in income.

• This is why GDP (PPP) per capita is often considered one of the indicators of a country's standard of living,[3][4] although this can be problematic because GDP per capita is not a measure of personal income. (See Standard of living and GDP.)

• GDP (PPP) and GDP (PPP) per capita are usually measured by international dollar, which is a hypothetical currency that has the same purchasing power in every economy as the U.S. dollar in the United States.

Content

All figures are in current international dollars, and rounded to the nearest whole number.

The table initially ranks each country or territory with their latest available year's estimates, and can be reranked by either of the sources

• Nearly all country links in the table connect to articles titled "Income in (country or territory)" or to "Economy of (country or territory)".

Data Columns:

• Index of Serial Number
• Name of the U N Region
• International Monetary Fund (IMF) Data.
• World Bank Data.
• Central Intelligence Agency (CIA) Data.

Acknowledgements

The Method for collecting the Data is Web Scraping Wikipedia.

Graph and download economic data for Constant GDP per capita for Upper Middle Income Countries (NYGDPPCAPKDUMC) from 1960 to 2024 about per capita, income, and GDP.

United Kingdom UK: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 40,530.000 USD in 2017. This records a decrease from the previous number of 42,370.000 USD for 2016. United Kingdom UK: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 21,055.000 USD from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 48,420.000 USD in 2008 and a record low of 2,440.000 USD in 1970. United Kingdom UK: 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 UK – Table UK.World Bank: 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;