Context

GDP or Gross Domestic Product, as defined by the International Monetary Fund, "measures the monetary value of final goods and services—that is, those that are bought by the final user—produced in a country in a given period of time". GDP per capita shows a country's GDP divided by its total population. It is theoretically the amount of money that each individual earns in that particular country.

GDP per capita is a very handy data to have access to in complement to other datasets, especially when working with prices, salaries, etc. As there was no such updated dataset on kaggle, I uploaded this dataset which is updated up until 2021, with predictions going up to 2026, so that other kagglers can have easy access to it when needed. This data was extracted from the International Monetary Fund official website.

Content

This dataset contains the GDP per capita of 229 countries, from 1980 to 2021, with predictions up until 2026. It is organized as follows: each year is represented by a column, and each country by a row.

Acknowledgements

This data set was extracted from the following website: https://www.imf.org/external/datamapper/NGDPDPC@WEO/OEMDC/ADVEC/WEOWORLD .

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.

** IMF's GDP Data 📈: 1980-2028 Global Trends Explore the economic trajectories of countries worldwide with the "IMF's GDP Data: 1980-2028 Global Trends" dataset. Providing a comprehensive overview of GDP per capita, this dataset measures the average economic output per person in current U.S. dollars. With actual data from 1980 to 2023 and predictions extending to 2028, it's an invaluable asset for understanding past progress and anticipating future growth.

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.

EU:(GDP) Gross Domestic ProductBased on purchasing-power-parity (PPP) Per Capita GDP: Constant Prices data was reported at 37,574.780 PPP 2011 Intl $ in 2017. This records an increase from the previous number of 36,676.830 PPP 2011 Intl $ for 2016. EU:(GDP) Gross Domestic ProductBased on purchasing-power-parity (PPP) Per Capita GDP: Constant Prices data is updated yearly, averaging 29,083.946 PPP 2011 Intl $ from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 37,574.780 PPP 2011 Intl $ in 2017 and a record low of 21,181.800 PPP 2011 Intl $ in 1981. EU:(GDP) Gross Domestic ProductBased on purchasing-power-parity (PPP) Per Capita GDP: Constant Prices data remains active status in CEIC and is reported by International Monetary Fund - World Economic Outlook. The data is categorized under World Trend Plus’s Aggregate: Euro Area and European Union – Table EU.IMF.WEO: Gross Domestic Product: European Union (EU28).

The graph shows per capita gross domestic product (GDP) in China until 2024, with forecasts until 2030. In 2024, per capita GDP reached around 13,300 U.S. dollars in China. That year, the overall GDP of China had amounted to 18.7 trillion U.S. dollars. Per capita GDP in China Gross domestic product is a commonly-used economic indicator for measuring the state of a country's economy. GDP is the total market value of goods and services produced in a country within a given period of time, usually a year. Per capita GDP is defined as the GDP divided by the total number of people in the country. This indicator is generally used to compare the economic prosperity of countries with varying population sizes.In 2010, China overtook Japan and became the world’s second-largest economy. As of 2024, it was the largest exporter and the second largest importer in the world. However, one reason behind its economic strength lies within its population size. China has to distribute its wealth among 1.4 billion people. By 2023, China's per capita GDP was only about one fourth as large as that of main industrialized countries. When compared to other emerging markets, China ranked second among BRIC countries in terms of GDP per capita. Future development According to projections by the IMF, per capita GDP in China will escalate from around 13,300 U.S. dollars in 2024 to 18,600 U.S. dollars in 2030. Major reasons for this are comparatively high economic growth rates combined with negative population growth. China's economic structure is also undergoing changes. A major trend lies in the shift from an industry-based to a service-based economy.

19 of the 20 countries with the lowest estimated GDP per capita in the world in 2024 are located in Sub-Saharan Africa. South Sudan is believed to have a GDP per capita of just 351.02 U.S. dollars - for reference, Luxembourg has the highest GDP per capita in the world, at almost 130,000 U.S. dollars, which is around 400 times larger than that of Burundi (U.S. GDP per capita is over 250 times higher than Burundi's). Poverty in Sub-Saharan Africa Many parts of Sub-Saharan Africa have been among the most impoverished in the world for over a century, due to lacking nutritional and sanitation infrastructures, persistent conflict, and political instability. These issues are also being exacerbated by climate change, where African nations are some of the most vulnerable in the world, as well as the population boom that will place over the 21st century. Of course, the entire population of Sub-Saharan Africa does not live in poverty, and countries in the southern part of the continent, as well as oil-producing states around the Gulf of Guinea, do have some pockets of significant wealth (especially in urban areas). However, while GDP per capita may be higher in these countries, wealth distribution is often very skewed, and GDP per capita figures are not representative of average living standards across the population. Outside of Africa Yemen is the only country outside of Africa to feature on the list, due to decades of civil war and instability. Yemen lags very far behind some of its neighboring Arab states, some of whom rank among the richest in the world due to their much larger energy sectors. Additionally, the IMF does not make estimates for Afghanistan, which would also likely feature on this list.

The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.

This dataset has all the countries listed with their continents, GDP, population and GDP_per_capita. We can use GDP per capita as a label and play with the dataset. Using linear regression , is there a possibility to explore in terms of reciprocal relation between the features.

The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.

Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF's International Financial Statistics.

The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank's Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, "Economy Groupings," for more details.

Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B-D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year.

Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP.

In many countries, fiscal data follow the IMF's Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing ("") of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending.

The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF's Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions.

The WHD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in the Western Hemisphere. Data for the Western Hemisphere REO are prepared in conjunction and are consistent with the semi-annual World Economic Outlook (WEO) exercises. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.

In 2019, Venezuela’s estimated gross domestic product (GDP) per capita dropped to 2,624.41 U.S. dollars from 3,529.72 U.S. dollars the year before. the country's GDP has been on a continuous downswing for about a decade now - in 2010, it amounted to more than 11,000 U.S. dollars, and seemed to recover from a sudden slump again in 2016, before decreasing rapidly ever since. GDP per capita is a measurement of a country’s economic output that accounts for its number of people, thus making it a good measurement of a country’s standard of living. A time of economic hardships Currently, a major economic crisis is shaking Venezuela, resulting in hyperinflation, food and water shortages, and unemployment. Venezuela’s inflation rate has skyrocketed to over 900,000 percent in 2018, and the economy is suffering, with the Venezuelan GDP growth decreasing substantially each year since 2014. A population affected by instability In response to the economic and political climate, many are leaving the country for places such as Colombia, Peru, and Ecuador, with hopes for more stability and better economic prospects. Due in part to this, Venezuela’s population growth has decreased consistently over the last five years: In 2019, the country’s population was around 28 million inhabitants - a figure that is estimated to decrease further in the future.

GDP per capita (current US$) is an economic indicator that measures the average economic output per person in a country. It is calculated by dividing the total Gross Domestic Product (GDP) of a country by its population, both measured in current US dollars. GDP per capita provides a useful metric for comparing the economic well-being and living standards between different countries.

There are various sources where you can find GDP per capita data, including international organizations, government agencies, and financial institutions. Some prominent sources for GDP per capita data include:

1. World Bank: The World Bank provides comprehensive data on GDP per capita for countries around the world. They maintain the World Development Indicators (WDI) database, which includes GDP per capita figures for different years.

2. International Monetary Fund (IMF): The IMF also offers GDP per capita data through their World Economic Outlook (WEO) database. It provides economic indicators and forecasts, including GDP per capita figures for various countries.

3. National Statistical Agencies: Many countries have their own national statistical agencies that publish GDP per capita data. These agencies collect and analyze economic data, including GDP and population figures, to calculate GDP per capita.

4. Central Banks: In some cases, central banks may also provide GDP per capita data for their respective countries. They often publish economic indicators and reports that include GDP per capita figures.

When using GDP per capita data, it's important to note that it represents an average measure and does not necessarily reflect the distribution of wealth within a country. Additionally, GDP per capita figures are often adjusted for inflation to provide real GDP per capita, which accounts for changes in the purchasing power of money over time.

To access the most up-to-date and accurate GDP per capita data, it is recommended to refer to reputable sources mentioned above or consult the official websites of international organizations, government agencies, or central banks that specialize in economic data and analysis.

The Gross Domestic Product per capita (gross domestic product divided by mid-year population converted to international dollars, using purchasing power parity rates) has been identified as an important determinant of susceptibility and vulnerability by different authors and used in the Disaster Risk Index 2004 (Peduzzi et al. 2009, Schneiderbauer 2007, UNDP 2004) and is commonly used as an indicator for a country’s economic development (e.g. Human Development Index). Despite some criticisms (Brooks et al. 2005) it is still considered useful to estimate a population’s susceptibility to harm, as limited monetary resources are seen as an important factor of vulnerability. However, collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Night time lights satellite imagery of NOAA grid provides an alternative means for measuring economic activity. NOAA scientists developed a model for creating a world map of estimated total (formal plus informal) economic activity. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for some target Country and at the national level for other countries of the world, and subsequently regression coefficients were derived. Multiplying the regression coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a 30 arc-second map of total economic activity (see Ghosh, T., Powell, R., Elvidge, C. D., Baugh, K. E., Sutton, P. C., & Anderson, S. (2010).Shedding light on the global distribution of economic activity. The Open Geography Journal (3), 148-161). We adjusted the GDP to the total national GDPppp amount as recorded by IMF (International Monetary Fund) for 2010 and we divided it by the population layer from Worldpop Project. Further, we ran a focal statistics analysis to determine mean values within 10 cell (5 arc-minute, about 10 Km) of each grid cell. This had a smoothing effect and represents some of the extended influence of intense economic activity for local people. Finally we apply a mask to remove the area with population below 1 people per square Km. This dataset has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

The statistic shows the gross domestic product (GDP) per capita in India from 1987 to 2030. In 2020, the estimated gross domestic product per capita in India amounted to about 1,915.55 U.S. dollars. See figures on India's economic growth here. For comparison, per capita GDP in China had reached about 6,995.25 U.S. dollars in 2013. India's economic progress India’s progress as a country over the past decade can be attributed to a global dependency on cheaper production of goods and services from developed countries around the world. India’s economy is built upon its agriculture, manufacturing and services sector, which, along with its drastic rise in population and demand for employment, led to a significant increase of the nation’s GDP per capita. Despite experiencing rather momentous economic gains since the mid 2000s, the Indian economy stagnated around 2012, with a decrease in general growth as well as the value of its currency. Residents and consumers in India have recently shown pessimism regarding the future of the Indian economy as well as their own financial situation, and with the recent economic standstill, consumer confidence in the country could potentially lower in the near future. Typical Indian exports consist of agricultural products, jewelry, chemicals and ores. Imports consist primarily of crude oil, gold and precious stones, used primarily in the manufacturing of jewelry. As a result, India has seen a rather highly increased demand of several gems in order to boost their jewelry industry and in general their exports. Although India does not export an extensive amount of goods, especially when considering the stature of the country, India has remained as one of the world’s largest exporters.

In 2025, the United States had the largest economy in the world, with a gross domestic product of over 30 trillion U.S. dollars. China had the second largest economy, at around 19.23 trillion U.S. dollars. Recent adjustments in the list have seen Germany's economy overtake Japan's to become the third-largest in the world in 2023, while Brazil's economy moved ahead of Russia's in 2024. Global gross domestic product Global gross domestic product amounts to almost 110 trillion U.S. dollars, with the United States making up more than one-quarter of this figure alone. The 12 largest economies in the world include all Group of Seven (G7) economies, as well as the four largest BRICS economies. The U.S. has consistently had the world's largest economy since the interwar period, and while previous reports estimated it would be overtaken by China in the 2020s, more recent projections estimate the U.S. economy will remain the largest by a considerable margin going into the 2030s.The gross domestic product of a country is calculated by taking spending and trade into account, to show how much the country can produce in a certain amount of time, usually per year. It represents the value of all goods and services produced during that year. Those countries considered to have emerging or developing economies account for almost 60 percent of global gross domestic product, while advanced economies make up over 40 percent.

This is the data used to estimate the monetary value of Disability-Adjusted Life Years (DALYs) lost from all causes in Mauritius in 2019. The file has (a) Disability-Adjusted Life Years (DALYs) by cause data for Mauritius from 'Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2020. Available online from: http://ghdx.healthdata.org/gbd-results-tool. Accessed 27 October 2020'; (b) Mauritius gross domestic product (GDP) per capita in International Dollars (Int$) from 'International Monetary Fund (IMF). World Economic Outlook Database. [Updated: October 2020]. Available online from: https://www.imf.org/en/Publications/WEO/weo-database/2020/October/select-country-group . Accessed 28 October 2020.'; (c). Mauritius current health expenditure per capita (CHEPC) projected from 'World Health Organization (WHO). Global Health Expenditure Database. Available online from: Available online from: http://apps.who.int/nha/database/Select/Indicators/en . Accessed 28 October 2020.'; and (d) authors estimate of the net GDP per capita in 2019 (Int$) for Mauritius, which is the difference between GDP per capita and current health expenditure per capita.

Dataset in excel of main macroeconomic indicators growth from 2017 to 2021 for near 200 countries and according to IMF data. It allows us to quickly assess the impact of the COVID19 in the global economic

It includes: real GDP growth, GDP per capita, inflation, unemployment rate, general government net lending /borrowing.

In 2024, the gross domestic product (GDP) per capita at current prices in Vietnam amounted to around 4,536 U.S. dollars. GDP is the total value of all goods and services produced in a country in a year. It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth. Vietnam’s economy In the last decade, the Vietnamese economy has experienced consistent economic growth with a six to seven percent increase in GDP from year to year. The country’s economy is fueled by its exports of natural resources and agricultural products, though since 2008 its information technology hardware exports have risen substantially. Vietnam’s agriculture and service sectors generate over 56 percent of Vietnam’s gross domestic product. Vietnam’s population The majority of Vietnam’s population works in the agriculture or service industries, and the country has one of the world’s lowest unemployment rates at just 1.8 percent in 2018. The population is relatively young, with the median age expected to reach 32.5 years by 2020. The median age has increased significantly from its low point of 18.2 years in 1970, around the time Vietnam was being devastated by war. Since then, the country’s population has increased as well, reaching over 94 million people in 2018.

State fragility has received an increasing attention in recent decades as a result of the nexus between development and international stability. This study investigates the empirical drivers of state fragility in sub-Saharan Africa from 2007 to 2019. We shed light on the explanatory variables of government effectiveness, political stability, per-capita GDP, grow GDP%, International Monetary Fund (IMF loans), and Official Development Assistance (ODA). Using panel data analysis and a 39-country sample, our study finds that government efficiency and political stability, in contrast to foreign aid, has a significant effect on reducing fragility in sub-Saharan Africa. In light of these findings, the article proposes delivering foreign aid in ways that strengthen state capacity. Devlet kırılganlığı, kalkınma ve uluslararası istikrar arasındaki bağlantının bir sonucu olarak son yıllarda giderek artan bir ilgi görmektedir. Bu makale, 2007-2019 yılları arasında Sahra Altı Afrika'da devlet kırılganlığının ampirik belirleyicilerini araştırmaktadır. Çalışmada, hükümet etkinliği, siyasi istikrar, kişi başına GSYİH, büyüme, Uluslararası Para Fonu (IMF kredileri) ve Resmi Kalkınma Yardımı (ODA) gibi açıklayıcı değişkenlere odaklanılmaktadır. Panel veri analizi ve 39 ülke örneğini kullanan çalışma, hükümet etkinliğinin ve siyasi istikrarın, dış yardımın aksine, Sahra Altı Afrika'daki kırılganlığı azaltmada olumlu bir etkiye sahip olduğunu tespit etmiştir. Bu bulgular ışığında, makale, dış yardımın devlet kapasitesini güçlendirecek şekillerde sağlanmasını önermektedir.