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.

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.

Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.

By the year 2030, it is projected that China will eclipse the United States and have the largest gross domestic product (GDP) in the world, at 31.7 trillion U.S. dollars. The United States is projected to have the second largest GDP, at 22.9 trillion U.S. dollars.

What is gross domestic product?

Gross domestic product, or GDP, is an economic measure of a country’s production in time. It includes all goods and services produced by a country and is used by economists to determine the health of a country’s economy. However, since GDP just shows the size of an economy and is not adjusted for the country’s size, this can make direct country comparisons complicated.

The growth of the global economy

Currently, the United States has the largest GDP in the world, at 20.5 trillion U.S. dollars. China has the second largest GDP, at 13.4 trillion U.S. dollars. In the coming years, production will become faster and more global, which will help to grow the global economy.

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.

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

Based on IMF forecasts from April 2025, the real GDP growth in industrial countries will slow in 2030, only growing by *** percent. This is because of the impact of the high global inflation rates. On the other hand, the GDP of emerging and developing countries is expected to grow by around * percent both in 2022, 2030, and 2024.

Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPXDCUSA) from 1950 to 2024 about GDP and USA.

The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and individual countries. The WEO dataset is released twice a year: April and September/October. Please fill out this online form for access to the confidential version--not for redistribution or transfer to any unauthorized third party. The public version is available on the IMF website.

The IMF's World Economic Outlook uses a "bottom-up" approach in producing its forecasts; that is, country teams within the IMF generate projections for individual countries. These are then aggregated, and through a series of iterations where the aggregates feed back into individual countries' forecasts, forecasts converge to the projections reported in the WEO.

Because forecasts are made by the individual country teams, the methodology can vary from country to country and series to series depending on many factors. To get more information on a specific country and series forecast, you may contact the country teams directly; from the Countries tab on the IMF website. (From: https://www.imf.org/en/Publications/WEO/frequently-asked-questions#:~:text=%2Ddatabase%2FDisclaimer.-,Q.,generate%20projections%20for%20individual%20countries.)

The statistic shows global gross domestic product (GDP) from 1985 to 2024, with projections up until 2030. In 2020, global GDP amounted to about 85.76 trillion U.S. dollars, two and a half trillion lower than in 2019. Gross domestic product Gross domestic product, also known as GDP, is the accumulated value of all finished goods and services produced in a country, often measured annually. GDP is significant in determining the economic health, growth and productivity in the country, and is a stat often used when comparing several countries at a time, most likely in order to determine which country has seen the most progress. Until 2020, Global GDP had experienced a growth every year since 2010. However, a strong growth rate does not necessarily lead to all positive outcomes and often has a negative effect on inflation rates. A severe growth in GDP leads to lower unemployment, however lower unemployment often leads to higher inflation rates due to demand increasing at a much higher rate than supply and as a result prices rise accordingly. In terms of unemployment, growth had been fairly stagnant since the economic downturn of 2007-2009, but it remains to be seen what the total impact of the coronavirus pandemic will be on total employment.

Graph and download economic data for Real Gross Domestic Product for Germany (NGDPRNSAXDCDEQ) from Q1 1991 to Q2 2025 about Germany, real, and GDP.

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

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 average for 2025 based on 184 countries was 3.13 percent. The highest value was in Libya: 17.3 percent and the lowest value was in Equatorial Guinea: -4.2 percent. The indicator is available from 1980 to 2030. Below is a chart for all countries where data are available.

As of April 2025, South Africa's GDP was estimated at over 410 billion U.S. dollars, the highest in Africa. Egypt followed, with a GDP worth around 347 billion U.S. dollars, and ranked as the second-highest on the continent. Algeria ranked third, with nearly 269 billion U.S. dollars. These African economies are among some of the fastest-growing economies worldwide. Dependency on oil For some African countries, the oil industry represents an enormous source of income. In Nigeria, oil generates over five percent of the country’s GDP in the third quarter of 2023. However, economies such as the Libyan, Algerian, or Angolan are even much more dependent on the oil sector. In Libya, for instance, oil rents account for over 40 percent of the GDP. Indeed, Libya is one of the economies most dependent on oil worldwide. Similarly, oil represents for some of Africa’s largest economies a substantial source of export value. The giants do not make the ranking Most of Africa’s largest economies do not appear in the leading ten African countries for GDP per capita. The GDP per capita is calculated by dividing a country’s GDP by its population. Therefore, a populated country with a low total GDP will have a low GDP per capita, while a small rich nation has a high GDP per capita. For instance, South Africa has Africa’s highest GDP, but also counts the sixth-largest population, so wealth has to be divided into its big population. The GDP per capita also indicates how a country’s wealth reaches each of its citizens. In Africa, Seychelles has the greatest GDP per capita.

Egypt EG: GDP: Volume: 2001-02 Prices data was reported at 486,500.000 EGP mn in 2007. This records an increase from the previous number of 454,300.000 EGP mn for 2006. Egypt EG: GDP: Volume: 2001-02 Prices data is updated yearly, averaging 40,150.000 EGP mn from Dec 1982 (Median) to 2007, with 26 observations. The data reached an all-time high of 486,500.000 EGP mn in 2007 and a record low of 22,500.000 EGP mn in 1982. Egypt EG: GDP: Volume: 2001-02 Prices data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Egypt – Table EG.IMF.IFS: Gross Domestic Product: by Expenditure: Annual. The ending period of the reported fiscal year is standardized to December when data is reported to IMF. Annual data provided by Local authorities may have different ending period than December. Quarterly data provided by IMF is not directly comparable to quarterly data provided by Local Authorities. Due to different ending periods of the years, fiscal quarters may correspond to different calendar quarters.

The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

This dataset FDI positions by counterpart area, BMD4 includes inward and outward Foreign Direct Investment (FDI) positions by partner country for OECD reporting economies:

• Inward FDI positions by partner country measure the total level of direct investment in the reporting economy at the end of the year, by source countries, enabling, for example, the identification of the major sources of FDI for a specific OECD economy. Inward FDI positions are allocated to the immediate investing country but inward FDI positions allocated to the ultimate investing country are also available for some OECD economies.
• Outward FDI positions by partner country measure the total level of direct investment from the reporting economy at the end of the year, by destination countries, enabling, for example, the identification of the major destinations of FDI for a specific OECD economy. Outward FDI positions are allocated to the immediate counterpart country for all OECD countries.

Inward and outward FDI positions by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions, in millions of national currency and as a share of total FDI positions.

In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:

• the OECD’s Benchmark Definition of FDI, 4th edition (BMD4); and
• the IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)

This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.

Historical and unrevised series of FDI positions by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset FDI positions by partner country.

The country layer captures the network of ports and routes that facilitate a country’s maritime trade. The includes all the exporting (either in country or in transport connected country), transhipment, and importing (at ports of bilateral trade partner) ports that facilitate a country’s maritime exports, and the importing (either in country or in transport connected country), transhipment, and exporting (at ports of bilateral trade partner) ports that facilitate for a country’s maritime imports. The Oxford Maritime Transport (OxMarTrans) model predicts the allocation of maritime trade flows (based on bilateral trade data) on the maritime transport network, including the port and route taken, to determine the dependency between ports and trade flow. In other words, it captures how trade between origin and destination is most likely being shipped across the global maritime transport network, including the port used for exporting, transhipment (if required) and importing. The resulting network consist of >2.1 million unique port-country pair combinations across >25,000 unique country pairs and 13 economic sectors, which capture what share of maritime trade between two countries going through specific ports and on specific routes. The base year considered is 2022.The 13 economic sectors are based on the International Convention on the Harmonized Commodity Description and Coding System (HS Convention) and align to the 21 HS Sections as per the table below.NameHS SectionAnimal & Animal Products1Vegetable Products2Prepared Foodstuffs & Beverages3+4Mineral Products5Chemical & Allied Industries6Plastics, Rubber, Leather7+8Wood & Wood Products9+10Textiles & Footwear11+12Stone & Glass13+14Metals15Machinery & Electrical Equipment16+18Vehicles & Equipment17Miscellaneous19+20+21The spillover simulator shows the amount of country’s imports or exports that is at-risk of being affected because of a disruption at a selected port in value terms. This could be because the port was exporting/importing a country’s imports/exports, or because of transhipments. This impacts can be analysed in aggregate terms (across all commodity sectors) or per commodity sector. In addition, the amount of trade at-risk is expressed as a fraction of an economy’s Gross Domestic Product (GDP) to capture how impactful trade disruptions are in relative terms for respective country economies. It should be noted that in most cases trade is not directly lost, but merely delayed in case of smaller disruptions (<7 days). However, in case of larger disruptions (>30 days) and limited possibilities to reroute goods, trade bottlenecks could occur, potentially resulting in severe supply shortages. GDP data comes from the October 2023 WEO (NGDPD = Gross domestic product, current prices; Year 2022).Source: Verschuur, J., Koks, E.E. & Hall, J.W. Ports’ criticality in international trade and global supply-chains. Nat Commun 13, 4351 (2022). https://doi.org/10.1038/s41467-022-32070-0Variables:from_portid = port id. Full list of ports can be found here.from_portname = port name. from_country = country the port resides in.from_iso3 = ISO 3-letter country code of the port.to_country = country for which we compute trade that is at-risk of being affected because of a disruption at from_portname.to_iso3 = ISO 3-letter country code of the country for which we compute trade that is at-risk of being affected because of a disruption at from_portname.industry = one of the following: - Animal & Animal Products- Vegetable Products- Prepared Foodstuffs & Beverages- Mineral Products- Chemical & Allied Industries- Plastics, Rubber, Leather- Wood & Wood Products- Textiles & Footwear- Stone & Glass - Metals- Machinery & Electrical Equipment- Vehicles & Equipment- Miscellaneous- Total (sum of all of the above)hs_section = corresponding HS section(s)unit = all values are expressed in US Dollars.scale = all values are expressed in units.daily_export_value_at_risk = daily to_country’s exports that is at-risk of being affected because of a disruption at from_portname.daily_import_value_at_risk = daily to_country’s imports that is at-risk of being affected because of a disruption at from_portname.

National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making.

Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013, amended by Council Regulation (EU) 2023/734 of 15 March 2023.

Gross domestic product (GDP) is one of the key aggregates in the European system of accounts (ESA). GDP is a measure of the total economic activity taking place on an economic territory which leads to output meeting the final demands of the economy.

There are three ways of measuring GDP at market prices:

1. the production approach, as the sum of the values added by all activities which produce goods and services, plus taxes less subsidies on products;
2. the expenditure approach, as the total of all final expenditures made in either consuming the final output of the economy, or in adding to wealth, plus exports less imports of goods and services;
3. the income approach, as the total of all incomes earned in the process of producing goods and services plus taxes on production and imports less subsidies.

Data published in the following tables reflect these 3 approaches.

Breakdowns provided are based on the ESA Transmission Programme, which list all tables requested from the countries.

The annual tables under this collection are the following:

• nama_10_gdp GDP and main components (output, expenditure and income)
• nama_10_pc Main GDP aggregates per capita
• nama_10_a10 Gross value added and income components by A*10 industry
• nama_10_a64 Gross value added and income components by A*64 industry

Geographical entities covered are the European Union, the euro area, EU Member States, EFTA countries and Candidate Countries. Data from other countries (e.g. US, Japan and other countries) are received via the OECD and IMF and published in Eurobase in the naid_10 collection.

Data sources: National Statistical Institutes, Eurostat (for European aggregates).