The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in the United States expanded 2 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Historical chart and dataset showing U.S. GDP by year from 1960 to 2023.

The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented as growth rates. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).

When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.
The data is presented for G20 countries individually, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area.

These indicators were presented in the previous dissemination system in the QNA dataset.

See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
See QNA Calendar for information on advance release dates: QNA Calendar
See QNA Changes for information on changes in methodology: QNA Changes
See QNA TIPS for a better use of QNA data: QNA TIPS
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

This dataset provides both quarterly and annual estimates of the value of the goods and services produced in Iowa as provided by the U.S. Department of Commerce, Bureau of Economic Analysis in tables SAGDP2N, SAGDP9N, SAGDP10N, SQGDP2, and SQGDP9. Annual data is available beginning in 1997, and quarterly beginning 2005. The data include breakdowns of industries' contributions. Quarterly estimates are presented as an annual rate. Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars. Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars. The annual per capita real GDP is also provided and is measured in chained dollars. In calculating the per capita real GDP, the real GDP is divided by the Census Bureau’s annual midyear (July 1) population estimates for the year.

The Global 15x15 Minute Grids of the Downscaled GDP Based on the Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990 and 2025, are geospatial distributions of Gross Domestic Product (GDP) per Unit area (GDP densities). These global grids were generated using the Country-level GDP and Downscaled Projections Based on the SRES B2 Scenario, 1990-2100 data set, and CIESIN's Gridded Population of World, Version 2 (GPWv2) data set as the base map. First, the GDP per capita was developed at a country-level for 1990 and 2025. Then the gridded GDP was developed within each country by applying the GDP per capita to each grid cell of the GPW, under the assumption that the GDP per capita was uniform within a country. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

Gross Domestic Product (GDP) is one of the best known indicators of economic activity and is widely used to monitor economic performance. GDP statistics for Scotland are produced by the Scottish Government and have been designated as National Statistics. This dataset contains statistics for the output approach to GDP and growth in real terms, and includes results for the whole economy (Total GDP) and industry sectors. GDP can also be broken down using the income and expenditure approaches, which are available as separate datasets. There are two updates to the output by industry statistics each quarter. The First Estimate of GDP growth is published around 80 days after the quarter’s end, and an updated second estimate is published in the Quarterly National Accounts around 120 days after the quarter’s end. The First Estimate of GDP statistics will be published on this website as open data; the Second Estimate will not currently be available as open data, but will be available on the Scottish Government website. Results for previous periods are also open to revision each quarter. Further details on Scottish GDP statistics, including methodology notes and the revisions policy, are available. The Industry Sector dimension in this dataset contains the broad industry sectors used on GDP statistics for Scotland the UK. These are based on industry sections from the Standard Industrial Classification (SIC, 2007). Further information can be found here The Measure Type dimension in this dataset contains four GDP measures, detailed below. The index measure is rounded to 4 decimal places and the growth rate measures are rounded to 1 decimal place. It is not always possible to replicate the published growth rates using rounded data, but all results are also available unrounded in the downloadable spreadsheets from the latest publication. • 4Q-on-4Q is the percentage change (growth rate) for the latest four quarters compared to the previous four non-overlapping quarters. This rolling annual growth rate gives a smoothed measure of recent trends. This growth rate is calculated from the Index measure. • Index represents the level of output in real, or volume, terms for each industry or total GDP, relative to the base year (2019). An index value of more than 100 means that output is higher than in the base year, and a value of less than 100 means that output is lower than in the base year. • q-on-q is the percentage change (growth rate) for the latest quarter compared to the previous quarter. This quarterly growth rate is usually taken as the headline measure of GDP growth. This growth rate is calculated from the Index measure. • q-on-q year ago is the percentage change (growth rate) for the latest quarter compared to the same quarter in the previous year. This growth rate over the year is usually compared to other statistics such as earnings or price inflation. This growth rate is calculated from the Index measure. The Reference Period dimension relates to standard calendar quarters. Quarter 1 refers to the period from January to March, Quarter 2 refers to April to June, Quarter 3 refers to July to September, and Quarter 4 refers to October to December. The Reference Area dimension for this dataset only contains results for Scotland, with no breakdowns to other areas. In this dataset, all results relate to Scotland’s onshore economy and do not include the output of offshore oil and gas extraction in Scottish Adjacent Waters. Each industry sector is indexed to make them comparable. For each sector, the value during 2019 is taken as the base year, and given the value of 100. All indexed values are chainlinked volume measures, and given relative to the base year.

The Ministry of Finance (MoF) and the Central Statistical Office (CSO) have published helpful information on the Gross Domestic Production (GDP) that can be accessed via shared links. The GDP dataset links are based on the following: Gross Domestic Product of Trinidad and Tobago at Constant (2012) Market Prices /TT$ Millions/ for 2018 to 2022 Gross Domestic Product of Trinidad and Tobago at Constant (2012) Market Prices /Percentage Change/ for 2018 to 2022 Gross Domestic Product of Trinidad and Tobago at Constant (2012) Market Prices /Percentage Contribution/ for 2018 to 2022 Gross Domestic Product of Trinidad and Tobago at Market Prices (Current Prices) /TT$ Millions/ for 2018 to 2022 Gross Domestic Product of Trinidad and Tobago at Market Prices (Current Prices) /Percentage Change/ for 2018 to 2022 Gross Domestic Product of Trinidad and Tobago at Market Prices (Current Prices) /Percentage Contribution/ for 2018 to 2022

The Gross Domestic Product (GDP) in Japan stagnated 0 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Japan GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The dataset "tipsau20" has been replaced by "tipsna15" since 10/01/2025. Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Data are seasonally adjusted and presented in million units of national currency.

Get data on the Ontario gross domestic product (GDP) by Goods-Producing Industries and Services Industries.

The GDP is a monetary measure of the value of all the goods and services produced in a period.

Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

growth rate, Real, COVID-19, GDP

Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

Quarterly expenditure-based, gross domestic product, Canada, in chained (2017) and current dollars.

China GDP data was reported at 31,875.800 RMB bn in Mar 2025. This records a decrease from the previous number of 37,372.616 RMB bn for Dec 2024. China GDP data is updated quarterly, averaging 7,996.500 RMB bn from Mar 1992 (Median) to Mar 2025, with 133 observations. The data reached an all-time high of 37,372.616 RMB bn in Dec 2024 and a record low of 528.490 RMB bn in Mar 1992. China GDP data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.AA: Gross Domestic Product: Quarterly.

This table provides data from Quarterly National Accounts (QNA) of Statistics The Netherlands. It contains quarterly and annual data on production, expenditures, income and external economic transactions of The Netherlands.

Data available from 1995.

Status of the figures: Annual data of the period 1995-2021 are final. Quarterly data from 2021 are provisional. Since this table has been discontinued, provisional data will not become final.

Changes as of June 24th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. This table contains revised data. For further information see section 3.

When will new figures be published? Not applicable anymore.

This dataset provides information on the Real GDP per capita for 30 countries and regions across Europe, from 1995 to 2023. The dataset includes real GDP per capita data, which is adjusted for inflation (constant prices), allowing comparisons over time across different countries. This data is critical for economic analysis, providing insights into the economic performance and living standards in these countries and regions.

Countries included are:

• Austria (AT)
• Belgium (BE)
• Bulgaria (BG)
• Cyprus (CY)
• Czech Republic (CZ)
• Germany (DE)
• Denmark (DK)
• Euro Area (EA20) – The 20 countries using the euro
• Estonia (EE)
• Greece (EL)
• Spain (ES)
• European Union 27 (EU27_2020) – EU countries excluding the UK (post-Brexit)
• Finland (FI)
• France (FR)
• Croatia (HR)
• Hungary (HU)
• Ireland (IE)
• Italy (IT)
• Lithuania (LT)
• Luxembourg (LU)
• Latvia (LV)
• Malta (MT)
• Netherlands (NL)
• Poland (PL)
• Portugal (PT)
• Romania (RO)
• Sweden (SE)
• Slovenia (SI)
• Slovakia (SK)

Source:

• Eurostat API (via Python Eurostat library)

Time Period:

• 1995 - 2023

Year:

• The year of the data (1995 to 2023)

Usage:

• This dataset is suitable for economic research, data analysis, and forecasting. It can be used to study trends in economic growth, compare the performance of different European economies, and examine the effects of historical events on national GDP.

National Accounts

The System of National Accounts is a comprehensive, accounting framework within which economic data can be presented on the operation of the nation’s economy in much the same way as business accounts describe the operation of an enterprise. It is based on a set of internationally agreed concepts, definitions, classifications and accounting rules within which economic data can be presented.

The Jamaican System of National Accounts is based on the United Nations System of National Accounts 1993 (1993 SNA). The classification of industries used in the accounts is the Jamaica Industrial Classification (JIC 2005). This is a local adaptation of the United Nations International Standard Industrial Classification of all Economic Activities (ISIC Rev.3).

The Gross Domestic Product (GDP) in Vietnam was worth 476.39 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Vietnam represents 0.45 percent of the world economy. This dataset provides the latest reported value for - Vietnam GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Global Multihazard Total Economic Loss Risk Deciles is a 2.5 minute grid of global multihazard total economic loss risks. First, for each of the considered hazards (cyclones, droughts, earthquakes, floods, landslides, and volcanoes), subnational distributions of Gross Domestic Product (GDP) are computed using a methodology developed from Sachs et al. (2003). Where applicable, the contributions of subnational Units to national GDP estimates, the contribution ratio, are determined using data of varied origin. World Bank Development Indicators are substituted for GDP estimates of varied origin and the subnational GDP is estimated using the fore mentioned contribution ratios. A subnational, per capita GDP is derived and a final GDP estimate per grid cell is made based on grid cell population density. A raw, total economic loss is computed per grid cell using a regional economic loss rate derived from EM-DAT records. To more accurately reflect the confidence surrounding the economic loss estimate, the range of losses are classified into deciles, 10 classes of an approximately equal number of grid cells. A multihazard index is generated by summing the top three deciles of the individual hazards. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).