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.

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

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

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.

Gross domestic product is the market value of goods and services produced by labor and property in the United States. The U.S. Bureau of Economic Analysis estimates GDP for each quarter and releases new statistics every month. Quarterly GDP data are seasonally adjusted at annual rates.

Annual and quarterly data for UK gross domestic product (GDP) estimates, in chained volume measures and current market prices.

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

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.

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features:

• Granular: Data is provided at the following geographical units:
  • NUTS3 (e.g. London Boroughs),
  • NUTS2 (e.g. London),
  • NUTS1 (e.g. England), and
  • NUTS0 (e.g. United Kingdom) levels.
• Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
• Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
• Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
• Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

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.

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features: - Frequent: Data is provided every month from January 2015. This is more frequent than quarterly official datasets. - Timely: Data is provided with a three week lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 3-6 month lag of official datasets. - Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Governments and policy makers - to monitor the performance of economies, to measure the impact of policies, and to get a real-time indication of economic activity.
• Engineering companies - to monitor and evaluate the national impact of infrastructure projects
• Consultancies - to forecast the national impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research with more-frequent GDP data than is available from official sources. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for the UK, Switzerland and 28 EU Countries.

This dataset contains Annual GDP using chained dollars from previous period by sector from 1997 to present (most recent as reported by U.S. Bureau of Economic Analysis) for Maryland and United States.

Administrative unitsRepresents the administrative units used for GDP per capita (PPP) and HDI data products. National administrative units have id 1-999, sub-national ones 1001-admin_areas_GDP_HDI.ncGDP_per_capita_PPP_1990_2015The GDP per capita (PPP) dataset represents average gross domestic production per capita in a given administrative area unit. GDP is given in 2011 international US dollars. Gap-filled sub-national data were used, supplemented by national data where necessary. Datagaps were filled by using national temporal pattern. Dataset has global extent at 5 arc-min resolution for the 26-year period of 1990-2015. Detail description is given in a linked article and metadata is provided as an attribute in the NetCDF file itself.GDP_PPP_1990_2015_5arcminThis global dataset represents the gross domestic production (GDP) of each grid cell. GDP is given in 2011 international US dollars. The data is derived from GDP per capita (PPP) which is multiplied by gridded population data HYDE...

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

GDP: Seasonally Adjusted data was reported at 1,624,533,381.832 VND mn in Dec 2020. This records an increase from the previous number of 1,581,635,698.751 VND mn for Sep 2020. GDP: Seasonally Adjusted data is updated quarterly, averaging 786,158,277.050 VND mn from Dec 2003 (Median) to Dec 2020, with 69 observations. The data reached an all-time high of 1,624,533,381.832 VND mn in Dec 2020 and a record low of 178,623,432.454 VND mn in Dec 2003. GDP: Seasonally Adjusted data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.GEM: Gross Domestic Products: Nominal: Quarterly.

The Gross Domestic Product (GDP) in Germany expanded 0.40 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - Germany GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Syria Gross Domestic Product (GDP) data was reported at 88,590,464.000 SYP mn in 2022. This records an increase from the previous number of 41,455,877.000 SYP mn for 2021. Syria Gross Domestic Product (GDP) data is updated yearly, averaging 630,916.000 SYP mn from Dec 1963 (Median) to 2022, with 54 observations. The data reached an all-time high of 88,590,464.000 SYP mn in 2022 and a record low of 4,432.000 SYP mn in 1963. Syria Gross Domestic Product (GDP) data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Syrian Arab Republic – Table SY.A003: GDP by Industry: Current Price.

China GDP: Prefecture Level City data was reported at 71,746.936 RMB bn in 2015. This records an increase from the previous number of 67,836.364 RMB bn for 2014. China GDP: Prefecture Level City data is updated yearly, averaging 16,335.067 RMB bn from Dec 1991 (Median) to 2015, with 23 observations. The data reached an all-time high of 71,746.936 RMB bn in 2015 and a record low of 1,559.944 RMB bn in 1991. China GDP: Prefecture Level City data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City.

The Gross Domestic Product (GDP) in Jordan was worth 53.35 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Jordan represents 0.05 percent of the world economy. This dataset provides the latest reported value for - Jordan GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.