The Gross Domestic Product (GDP) in the United States expanded 2 percent in the second 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.

Gross domestic product (GDP) is a measure of the economic activity, defined as the value of all goods and services produced less the value of any goods or services used in their creation. The calculation of the annual growth rate of GDP volume is intended to allow comparisons of the dynamics of economic development both over time and between economies of different sizes. For measuring the growth rate of GDP in terms of volumes, the GDP at current prices are valued in the prices of the previous year and the thus computed volume changes are imposed on the level of a reference year; this is called a chain-linked series. Accordingly, price movements will not inflate the growth rate.

Gross domestic product (GDP) is a measure of the economic activity, defined as the value of all goods and services produced less the value of any goods or services used in their creation. The calculation of the annual growth rate of GDP volume is intended to allow comparisons of the dynamics of economic development both over time and between economies of different sizes. For measuring the growth rate of GDP in terms of volumes, the GDP at current prices are valued in the prices of the previous year and the thus computed volume changes are imposed on the level of a reference year; this is called a chain-linked series. Accordingly, price movements will not inflate the growth rate.

Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV.

This dataset covers the link between natural resources booms and social policy expenditure for all countries of the Global South.

All countries with “total natural resources rents” (World Bank data) above 15% have been checked. Economic booms have been defined as “GDP growth (annual %)” (World Bank data) showing at least three years of consecutive economic growth amounting to a total of at least 20% in GDP growth. For each country, all consecutive years where the total natural resource rent stays above 15% and GDP is growing have been taken together as one natural resource boom phase.

For each natural resource boom phase state social policy expenditure has been taken from the World Bank database, the IMF and the Global State Revenues and Expenditures Dataset (GSRE). For 45 cases from 37 countries there are sufficient data for analysis. For 23 cases, data on social spending are not sufficient to establish a trend over the full boom period for at least one type of social policy expenditure.

For the 45 cases, we calculate the slope of the linear trendline for all types of social expenditure as share of GDP for which data are available. We sort all cases for which sufficient data are available into three groups: (1) social spending increases in line with GDP (i.e., average increase = flat trendline for spending as share of GDP, marked as “=” in the dataset), (2) state social spending gets a substantially higher share of GDP (operationalized as a trendline slope higher than +7%, marked as “+” in the dataset) or (3) the share of GDP devoted to social spending by the state decreases (slope of the trendline below -7%, marked as “–” in the dataset).

This dataset contains the full data collection in one Excel file (sheet 1 contains all original data for all countries, sheets 2-4 shows the trendline scopes for all case countries and sheet 5 lists all sources used by country). This dataset also contains a pdf file with a detailed description of data collection.

New in this version: Data for the trendline slope have been added for five years prior to and after each natural resource boom. The description of data collection (pdf file) has been updated.

Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

This table presents annual data on the output components, the final expenditure categories and the income components of gross domestic product of the Netherlands. In the national accounts gross domestic product is approached from three points of view: from the output, from the generation of income and from the final expenditure. Gross domestic product is a main macroeconomic indicator. The volume change of gross domestic product is a measure for the economic growth of a country.

Data available from: 1995 up to and including 2022.

Status of the figures: Data from 1995 up to and including 2021 are final. Data of 2022 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. For further information see section 3.

When will new figures be published? Not applicable anymore.

When will new figures be published? Not applicable anymore.

The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following:

Gross Domestic Product:
Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140].

Gross Disposable Income:
Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145].

Definition of Debt:
Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices.

To view other related indicator datasets, please refer to:
Institutional Investors Indicators [add link]
Household Dashboard [add link]

The statistic shows the growth rate of Australia’s real GDP from 2020 to 2024, with projections up until 2030. In 2024, GDP in Australia grew by about 1.04 percent on the previous year.The recession-proof land down underGDP is one of the primary indicators used to gauge the state and health of a country’s economy. It is the total market value of all final goods and services that have been produced within a country in a given period of time, usually a year. GDP figures allow us to understand a country’s economy in a clear way. Real GDP, in a similar vein, is also a very useful indicator; this is a measurement that takes prices changes (inflation and deflation) into account, therefore acting as a key indicator for economic growth.The gross domestic product (GDP) growth rate in Australia has, for sometime, been able to get a steady foothold in the somewhat shaky post-recession world, shaky, but far from catastrophic. The annual growth rate between the 2008 and 2009 financial years, for example, a time at which the world was brought to its proverbial knees, saw growth rates down under reach to 2.49 and 1.37 percent respectively on the previous years, whereas the GDP growth rate in the United States plummeted well into the minus zone. Australia, like all other capitalist nations, is at the mercy of international markets, and when the world economy takes a hit, it would be foolish to suggest it could emerge fully unscathed. However, Australia has earned some much deserved praise and attention owing to the fact that it has managed to remain recession-free for the past twenty years. This could be thanks to its abundance of raw materials, the Australian mining boom, the fact the recession came at a time of high commodity prices and, maybe most importantly, that just under a third of its exports go to China.

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 Country-Level GDP and Downscaled Projections Based on the Special Report on Emissions Scenarios (SRES) A1, A2, B1, and B2 marker scenarios, 1990-2100, were developed using the 1990 base year GDP (Gross Domestic Product) from national accounts database available from the UN Statistics Division. SRES regional GDP growth rates were calculated from 1990 to 2100 based on the SRES marker model regional data and applied uniformly to each country that fell within the SRES-defined regions. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

The Country-Level GDP and Downscaled Projections Based on the Special Report on Emissions Scenarios (SRES) A1, A2, B1, and B2 marker scenarios, 1990-2100, were developed using the 1990 base year GDP (Gross Domestic Product) from national accounts database available from the UN Statistics Division. SRES regional GDP growth rates were calculated from 1990 to 2100 based on the SRES marker model regional data and applied uniformly to each country that fell within the SRES-defined regions. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

This dataset contains Saudi Arabia Distribution of Gross Domestic Product by Kind of Economic Activity at Current Prices. Data from General Authority for Statistics .Follow datasource.kapsarc.org for timely data to advance energy economics research.Preliminary Data: 2021Indicator Definition: It expresses the total of final goods and services produced during a certain period of time (usually a year) within the geographical borders of the country, whether that was done by the citizens of the country or foreigners residing in it.

This dataset is extracted from https://en.wikipedia.org/wiki/List_of_African_countries_by_GDP_growth. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

This table presents economic growth data (percentage volume changes of gross domestic product) and the contributions to economic growth by expenditure components.

Gross domestic product can be calculated as the sum of final consumptions, gross capital formation and net exports. This expenditure approach allows to estimate the contribution of the various components of final expenditure to the volume change of GDP. For estimating the contribution, final expenditure components have to be adjusted for the incorporated imports. The adjusted final expenditure components sum up to GDP and are the bases of the calculation of the contribution of GDP growth. The attribution of imports to final expenditure components is performed using input-output analysis.

Contributions of final expenditure to GDP are provided in percentage points of GDP growth.

Data available from 2016 to 2018.

Status of the figures: Data of 2016 and 2017 are final. Data of 2018 are provisional. Due to the discontinuation, the provisional figures will not become definite.

Changes as of November 25th 2020: None. This table has been discontinued.

When will new figures be published? Not applicable. This table has been dicontinued.

This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.

   <h3>Data sources and methodology</h3>
   <p align="justify">
   When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. GDP) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br />
   When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (<a href=https://www.bea.gov/data/employment/employment-county-metro-and-other-areas>US Bureau of Economic Analysis</a>), and then aggregated by FUA.
   </p>

   <h3>Defining FUAs and cities</h3>
   <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of:
   <ol>
   <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li>
   <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>
   </ol>
   The delineation process includes:
   <ul>
   <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>
   <li>Excluding non-contiguous municipalities.</li>
   </ul>
   The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>
   <h3>Cite this dataset</h3>
   <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e5">Economy - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p>

   <h3>Further information</h3>
   <ul> 
   <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li>
   <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li>
   </ul>
   <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>

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 1995-2023 are final. Quarterly data from 2023 are provisional.

Changes as of July 30th 2025: Data of the preliminary estimate of 2025q2 have been added to this table.

When will new figures be published? The preliminary estimate (flash estimate) of a quarter is released within 30 days. The second estimate is published after 85 days. At the second estimate of the fourth quarter, data of the previous three quarters will also be revised. If (new) annual figures become available in June, the quarterly figures will be revised again to bring them in line with the annual figures. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the latest figures.

This dataset comprises 500 peer-reviewed circular economy (CE) definitions, annotated with extracted themes within and beyond the R-strategies (R0–R9) using a rule-based Natural Language Processing (NLP) model. Each definition is accompanied by its publication year and reference source, enabling temporal analysis of CE conceptual evolution. The dataset includes:Original CE definitions from academic sourcesPublication year for temporal trend analysisReference information for citation trackingDetected R-strategies (R0–R9) based on predefined keyword listsExtracted themes beyond R-strategies (e.g., economic growth, social equity, eco-innovation)The dataset supports statistical, thematic, and trend analyses of CE definitions, providing insights into integrating sustainability dimensions over time.

The Gross Domestic Product (GDP) in Australia expanded 0.20 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Australia GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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 presented in million units of national currency.