The Gross Domestic Product (GDP) in the United States expanded 3 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP 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) growth rates are expected to slow in most world regions in 2023. Particularly the euro area and the European Union will be hit by slowing growth rates, falling from more than ***** percent in 2022 to only *** percent in 2023. These regions have been hit particularly hard by the high inflation rates and electricity prices through 2022 and 2023. On the other hand, the growth rate was forecast to increase from *** to *** percent in emerging and developing Asia.

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.

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.

Global real gross domestic product (GDP) growth is estimated to remain around ***** percent until 2025. While the increase is expected to be only *** percent in the Euro Area in 2024, it is estimated to grow by over **** percent in emerging and developing Asia.

The dataset provides quarterly insights into the economic performance of Trinidad and Tobago, focusing on Gross Domestic Product (GDP) at producer prices and other related indicators.

Gross Domestic Product by Activity by quater, Constant 2016 Prices Explore More information Download

Guyana had the highest real gross domestic product (GDP) in the Americas in 2023, reaching ** percent. Panama followed behind with *** percent. On the other hand, the GDP of Haiti decreased by *** percent in 2023.

The Gross Domestic Product (GDP) in Germany contracted 0.10 percent in the second 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.

The Gross Domestic Product (GDP) in Japan expanded 0.30 percent in the second 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 Gross Domestic Product (GDP) in China expanded 5.20 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The 'GDP Growth Annualized Prel' in Japan measures the preliminary annualized rate of growth in the country's Gross Domestic Product, reflecting economic performance over a quarter.

In 2023 the real gross domestic product (GDP) of the United States increased by 2.5 percent compared to 2022. This rate of annual growth indicates a return to economy normalcy after 2020 saw a dramatic decline in the GDP growth rate due to the the coronavirus (COVID-19) pandemic, and high growth in 2021.

What does GDP growth mean?

Essentially, the annual GDP of the U.S. is the monetary value of all goods and services produced within the country over a given year. On the surface, an increase in GDP therefore means that more goods and services have been produced between one period than another. In the case of annualized GDP, it is compared to the previous year. In 2023, for example, the U.S. GDP grew 2.5 percent compared to 2022.

Countries with highest GDP growth rate

Although the United States has by far the largest GDP of any country, it does not have the highest GDP growth, nor the highest GDP at purchasing power parity. In 2021, Libya had the highest growth in GDP, growing more than 177 percent compared to 2020. Furthermore, Luxembourg had the highest GDP per capita at purchasing power parity, a better measure of living standards than nominal or real GDP.

The 'GDP Growth Rate QoQ Prel' in the UK refers to the preliminary estimate of the quarter-on-quarter change in the country's Gross Domestic Product, measuring the economic performance and growth rate.

The Gross Domestic Product (GDP) In the Euro Area expanded 0.10 percent in the second quarter of 2025 over the previous quarter. This dataset provides - Euro Area GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Global Data: GDP, Life Expectancy & More

This dataset comprises 204 entries and 38 attributes, providing a comprehensive analysis of key economic and social indicators across various countries. It includes a diverse range of metrics, allowing for in-depth exploration of global trends related to GDP, education, health, and environmental factors.

Key Features:

• GDP: Gross Domestic Product (in current US dollars), representing the total economic output of a country.
• Sex Ratio: The ratio of males to females in the population, highlighting demographic trends.
• Life Expectancy: Average lifespan for males and females, an essential indicator of healthcare quality.
• Education Enrollment Rates: Data on primary, secondary, and post-secondary education enrollment for males and females, reflecting educational attainment.
• Unemployment Rate: Percentage of the labor force that is unemployed, indicating economic health.
• Homicide Rate: Number of homicides per 100,000 population, providing insight into safety and crime levels.
• Urban Population Growth: Rate of growth in urban populations, illustrating migration trends.
• CO2 Emissions: Carbon dioxide emissions per capita, an important measure of environmental impact.
• Forested Area: Percentage of land covered by forests, indicating biodiversity and environmental health.
• Tourist Numbers: Total number of international visitors, which can reflect a country's tourism potential.

Applications and Uses:

1. Research and Analysis: Ideal for researchers studying the correlation between economic performance and social indicators. This dataset can help identify trends and patterns relevant to global development.

2. Policy Development: Policymakers can utilize this data to inform decisions on education, healthcare, and environmental policies, aiming to improve national outcomes.

3. Machine Learning and Data Science: Data scientists can apply machine learning techniques to predict economic trends, analyze social impacts, or classify countries based on various indicators.

4. Educational Purposes: Suitable for students and educators in fields like economics, sociology, and environmental science for practical data analysis exercises.

5. Visualization Projects: Perfect for creating compelling visualizations that illustrate relationships between different metrics, aiding in public understanding and engagement.

By leveraging this dataset, users can uncover insights into how different factors influence a country's development, making it a valuable resource for diverse applications across various fields.

The Gross Domestic Product (GDP) in Russia expanded 1.10 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Russia GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product (GDP) in Indonesia expanded 5.12 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides - Indonesia GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States US: Government-Financed GERD: % of GDP data was reported at 0.650 % in 2022. This records a decrease from the previous number of 0.654 % for 2021. United States US: Government-Financed GERD: % of GDP data is updated yearly, averaging 0.786 % from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 1.245 % in 1985 and a record low of 0.650 % in 2022. United States US: Government-Financed GERD: % of GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

This report uses recent economic modelling to relate cognitive skills – as measured by PISA and other international instruments – to economic growth, demonstrating that relatively small improvements to labour force skills can largely impact the future well-being of a nation. The report also shows that it is the quality of learning outcomes, not the length of schooling, which makes the difference. A modest goal of all OECD countries boosting their average PISA scores by 25 points over the next 20 years would increase OECD gross domestic product by USD 115 trillion over the lifetime of the generation born in 2010. More aggressive goals could result in gains in the order of USD 260 trillion.