60 datasets found
  1. F

    World Uncertainty Index: Global: GDP Weighted Average

    • fred.stlouisfed.org
    json
    Updated Jul 9, 2025
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    (2025). World Uncertainty Index: Global: GDP Weighted Average [Dataset]. https://fred.stlouisfed.org/series/WUIGLOBALWEIGHTAVG
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    jsonAvailable download formats
    Dataset updated
    Jul 9, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for World Uncertainty Index: Global: GDP Weighted Average (WUIGLOBALWEIGHTAVG) from Q1 1990 to Q2 2025 about uncertainty, average, World, GDP, and indexes.

  2. T

    China GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China GDP [Dataset]. https://tradingeconomics.com/china/gdp
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. BRICS+ and G7 countries' share of the world's GDP in PPP 2000-2024

    • statista.com
    Updated May 30, 2025
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    Statista (2025). BRICS+ and G7 countries' share of the world's GDP in PPP 2000-2024 [Dataset]. https://www.statista.com/statistics/1412425/gdp-ppp-share-world-gdp-g7-brics/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The BRICS countries overtook the G7 countries share of the world's total gross domestic product (GDP) in terms of purchasing power parity (PPP) in 2018. By 2024, the difference had increased even further, the BRICS now holding a total 35 percent of the world's GDP compared to 30 percent held by the G7 countries.

  4. F

    Gross Domestic Product: Chain-type Price Index

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
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    (2025). Gross Domestic Product: Chain-type Price Index [Dataset]. https://fred.stlouisfed.org/series/GDPCTPI
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Gross Domestic Product: Chain-type Price Index (GDPCTPI) from Q1 1947 to Q2 2025 about chained, GDP, price index, indexes, price, and USA.

  5. F

    Gross Domestic Product for World

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Gross Domestic Product for World [Dataset]. https://fred.stlouisfed.org/series/NYGDPMKTPCDWLD
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    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Gross Domestic Product for World (NYGDPMKTPCDWLD) from 1960 to 2024 about , and GDP.

  6. T

    United States Gross Federal Debt to GDP

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Gross Federal Debt to GDP [Dataset]. https://tradingeconomics.com/united-states/government-debt-to-gdp
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    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1940 - Dec 31, 2024
    Area covered
    United States
    Description

    The United States recorded a Government Debt to GDP of 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. S

    A dataset of GDP spatial distribution on the Qinghai-Tibet Plateau (2020)

    • scidb.cn
    Updated Apr 21, 2023
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    Gao Yuan; Zhou Qiang; Xia Xingsheng; Liu Fenggui; Chen Qiong; Ma Mingfu; Zhi Zemin; Ma Weidong (2023). A dataset of GDP spatial distribution on the Qinghai-Tibet Plateau (2020) [Dataset]. http://doi.org/10.57760/sciencedb.j00001.00794
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 21, 2023
    Dataset provided by
    Science Data Bank
    Authors
    Gao Yuan; Zhou Qiang; Xia Xingsheng; Liu Fenggui; Chen Qiong; Ma Mingfu; Zhi Zemin; Ma Weidong
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Tibet, Tibetan Plateau
    Description

    Economic spatial distribution data is one of the important indicators for disaster loss assessment. The economy of the Qinghai Tibet Plateau region is relatively backward, and geological disasters occur frequently. Studying the impact of disasters in the region on the economy is of great significance. This study is based on the method of zoning and industry simulation, and establishes corresponding relationships between the GDP of the primary industry and land use types, DEM, village settlements, roads, and river buffer zones. After coupling the GDP of the secondary and tertiary industries with multiple information, spatial models are created for night lighting, building distribution, and interest point data in urban and county areas. Random forest is used to determine the weight of various indicators in the secondary and tertiary industries, calculate the grid value of GDP23, and finally superimpose GDP1 and GDP23 grids to build a 100 m Tibetan Plateau in 2020 × Spatial distribution map of GDP at 100 meters. Using municipal GDP statistical data for accuracy verification, the RMSE is 0.0388, indicating that the data can better reflect the spatial distribution of GDP in the Qinghai Tibet Plateau. This data can provide data support for disaster risk assessment, prevention and reduction in the Qinghai Tibet Plateau.

  8. T

    China GDP per capita PPP

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China GDP per capita PPP [Dataset]. https://tradingeconomics.com/china/gdp-per-capita-ppp
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1990 - Dec 31, 2024
    Area covered
    China
    Description

    The Gross Domestic Product per capita in China was last recorded at 23845.62 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in China, when adjusted by Purchasing Power Parity is equivalent to 134 percent of the world's average. This dataset provides - China GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. Gross domestic product (GDP) in Venezuela 2026

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Gross domestic product (GDP) in Venezuela 2026 [Dataset]. https://www.statista.com/statistics/370937/gross-domestic-product-gdp-in-venezuela/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Venezuela
    Description

    Gross domestic product (GDP) of Venezuela fell to 43.79 billion U.S. dollars in 2020, down from a 2012 peak of 372.59 U.S. dollars.

    Venezuela’s economic capacity

    Venezuela is famously the country with the largest oil reserves. However, mismanagement of the economy has led to several economic problems. Most notably, inflation has gotten out of control and has turned into hyperinflation. This represents a complete breakdown in people’s faith in the currency and, to a similar extent, the entire financial system.

    The Maduro Diet

    President Nicolás Maduro has largely been blamed for the economic situation in Venezuela. Many people have lost weight due to food shortages, which critics refer to as the “Maduro Diet”. In early 2019, opposition leader Juan Guaido declared the Maduro administration illegitimate, plunging the country into a constitutional crisis that divided the diplomatic world. Regardless of the outcome, Venezuela will still have to deal with high inflation, growing national debt, and challenges in infrastructure.

  10. Latin America & Caribbean: gross domestic product 2025, by country

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Latin America & Caribbean: gross domestic product 2025, by country [Dataset]. https://www.statista.com/statistics/802640/gross-domestic-product-gdp-latin-america-caribbean-country/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Latin America, Caribbean, Americas, LAC
    Description

    In 2025, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.3 trillion U.S. dollars, whereas Mexico's amounted to almost 1.8 trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

  11. Annual GDP and real GDP for the United States 1929-2022

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Annual GDP and real GDP for the United States 1929-2022 [Dataset]. https://www.statista.com/statistics/1031678/gdp-and-real-gdp-united-states-1930-2019/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    On October 29, 1929, the U.S. experienced the most devastating stock market crash in it's history. The Wall Street Crash of 1929 set in motion the Great Depression, which lasted for twelve years and affected virtually all industrialized countries. In the United States, GDP fell to it's lowest recorded level of just 57 billion U.S dollars in 1933, before rising again shortly before the Second World War. After the war, GDP fluctuated, but it increased gradually until the Great Recession in 2008. Real GDP Real GDP allows us to compare GDP over time, by adjusting all figures for inflation. In this case, all numbers have been adjusted to the value of the US dollar in FY2012. While GDP rose every year between 1946 and 2008, when this is adjusted for inflation it can see that the real GDP dropped at least once in every decade except the 1960s and 2010s. The Great Recession Apart from the Great Depression, and immediately after WWII, there have been two times where both GDP and real GDP dropped together. The first was during the Great Recession, which lasted from December 2007 until June 2009 in the US, although its impact was felt for years after this. After the collapse of the financial sector in the US, the government famously bailed out some of the country's largest banking and lending institutions. Since recovery began in late 2009, US GDP has grown year-on-year, and reached 21.4 trillion dollars in 2019. The coronavirus pandemic and the associated lockdowns then saw GDP fall again, for the first time in a decade. As economic recovery from the pandemic has been compounded by supply chain issues, inflation, and rising global geopolitical instability, it remains to be seen what the future holds for the U.S. economy.

  12. F

    Real gross domestic product per capita

    • fred.stlouisfed.org
    json
    Updated Aug 28, 2025
    + more versions
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    (2025). Real gross domestic product per capita [Dataset]. https://fred.stlouisfed.org/series/A939RX0Q048SBEA
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    jsonAvailable download formats
    Dataset updated
    Aug 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  13. Real GDP growth rates in Europe 2024

    • statista.com
    Updated Jun 2, 2025
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    Statista (2025). Real GDP growth rates in Europe 2024 [Dataset]. https://www.statista.com/statistics/686147/gdp-growth-europe/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    The fastest growing economy in Europe in 2024 was Malta. The small Mediterranean country's gross domestic product grew at five percent in 2024, beating out Montenegro which had a growth rate of almost four percent and the Russian Federation which had a rate of 3.6 percent in the same year. Estonia was the country with the largest negative growth in 2024, as the Baltic country's economy shrank by 0.88 percent compared with 2023, largely as a result of the country's exposure to the economic effects of Russia's invasion of Ukraine and the subsequent economic sanctions placed on Russia. Germany, Europe's largest economy, experience economic stagnation with a growth of 0.1 percent. Overall, the EU (which contains 27 European countries) registered a growth rate of one percent and the Eurozone (which contains 20) grew by 0.8 percent.

  14. T

    Japan GDP

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan GDP [Dataset]. https://tradingeconomics.com/japan/gdp
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    xml, json, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Japan
    Description

    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.

  15. T

    Germany GDP

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Germany GDP [Dataset]. https://tradingeconomics.com/germany/gdp
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1970 - Dec 31, 2024
    Area covered
    Germany
    Description

    The Gross Domestic Product (GDP) in Germany was worth 4659.93 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Germany represents 4.39 percent of the world economy. This dataset provides the latest reported value for - Germany GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. D

    Map of the proportion of threatened endemic species per country in relation...

    • dataverse.ird.fr
    • search.dataone.org
    • +2more
    Updated Nov 17, 2020
    + more versions
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    Robin Pouteau; Robin Pouteau; Caroline Brunel; Caroline Brunel; Wayne Dawson; Wayne Dawson; Franz Essl; Franz Essl; Holger Kreft; Holger Kreft; Bernd Lenzner; Bernd Lenzner; Carsten Meyer; Carsten Meyer; Jan Pergl; Jan Pergl; Petr Pysek; Petr Pysek; Hanno Seebens; Hanno Seebens; Patrick Weigelt; Patrick Weigelt; Marten Winter; Marten Winter; Mark van Kleunen; Mark van Kleunen (2020). Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers [Dataset]. http://doi.org/10.23708/7TANIW
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    application/zipped-shapefile(3546277)Available download formats
    Dataset updated
    Nov 17, 2020
    Dataset provided by
    DataSuds
    Authors
    Robin Pouteau; Robin Pouteau; Caroline Brunel; Caroline Brunel; Wayne Dawson; Wayne Dawson; Franz Essl; Franz Essl; Holger Kreft; Holger Kreft; Bernd Lenzner; Bernd Lenzner; Carsten Meyer; Carsten Meyer; Jan Pergl; Jan Pergl; Petr Pysek; Petr Pysek; Hanno Seebens; Hanno Seebens; Patrick Weigelt; Patrick Weigelt; Marten Winter; Marten Winter; Mark van Kleunen; Mark van Kleunen
    License

    https://dataverse.ird.fr/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.23708/7TANIWhttps://dataverse.ird.fr/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.23708/7TANIW

    Description

    This dataset is a shapefile representing the proportion of threatened endemic species (both plants and animals) in 247 countries along with associated environmental and socioeconomic drivers. The geographic coordinate system is World Geodetic System 1984 (EPSG: 4326). Information on a total of 65,125 endemic species including 27,294 globally threatened endemic species (55% threatened plant species, 45% threatened animal species) was extracted from the IUCN Red List. The categories of threatened species used in the analyses included vulnerable (VU), endangered (EN), critically endangered (CR), extinct in the wild (EW) and globally extinct (EX). We calculated the proportion of globally threatened endemic species among the total number of assessed endemic species per country (Chamberlain et al., 2020). Associated environmental socioeconomic regional correlates included: 1) Cropland: The proportion of each country covered by crops (including food, fibre and fodder crops and pasture grasses) was determined based on a FAO global map with a resolution of 5 arc-minutes (von Velthuizen et al., 2007); 2) HANPP: The proportion of net primary production appropriated by humans (HANPP) by harvesting or burning biomass and by converting natural ecosystems to managed lands with lower productivity was derived for the year 2010 from Krausmann et al. (2013); 3) Delta HANPP: We also computed the increase in HANPP over the period 1962-2010 (Krausmann et al., 2013); 4) per area GDP: The per area gross domestic product (GDP, in international $) was obtained by calculating the median value over each country of all 5 arcmin cells of a recently gridded GDP dataset (Kummu et al., 2018); 5) Human Footprint (HFP): The global terrestrial human footprint (HFP) is an index integrating the influence of built environments, population density, electric infrastructure, croplands, pasture lands, roads, railways, and navigable waterways on the environment based on remotely-sensed and bottom-up survey information (Venter et al., 2016). We extracted from a 1 km resolution HFP map the median value over each country in 2009; 6) Delta HFP: We also calculated the increase in median HFP over the period 1993-2009 (Venter et al., 2016); 7) Invasive alien plants: The richness of invasive alien vascular plant species recorded in each country was compiled by Essl et al. (2019); 8) Invasive alien animals: The richness of invasive alien animal species was derived from the Global Register of Introduced and Invasive Species database (http://griis.org/ accessed on 27-6-2018); 9) Delta temperature: Based on decadal climate maps produced by the IPCC over the last century with a 0.5° resolution, we calculated the median of the change in annual mean temperature (in °C) between 1901-1910 and 1981-1990 (Mitchell & Jones, 2005); 10) Delta rainfall: The same for annual precipitation (in mm); 11) Velocity temperature: We also calculated the median velocity of climate change based on the formula from Hamann et al. (2015) to evaluate the distance (in °) over which a species must migrate over the surface of the earth to maintain constant temperature conditions; 12) Velocity rainfall: The same for precipitation; 13) Roadless areas: The median area of a roadless fragment (in km²) was calculated from the global map of roadless areas published by Ibisch et al. (2016); 14) Wilderness areas: The proportion of wildlands (categories ‘wild woodlands' and ‘wild treeless and barren lands') was calculated from the anthropogenic biome map of Ellis et al. (2010); 15) Protected areas: The proportion of protected areas was estimated from the IUCN's shapefile of World Database on Protected Areas (https://www.iucn.org/theme/protected-areas/our-work/world-database-protected-areas); 16) Conservation spending: The mean annual conservation spending of each country (in international $) was taken from Waldron et al. (2017) to quantify investment to mitigate biodiversity loss; 17) Completeness of biodiversity information: We used data on the estimated percentage completeness of species records in GBIF, as assessed through comparison with independent estimates of native richness. Inventory effort indices available for vertebrates (Meyer et al., 2015) and vascular plants (Meyer et al., 2016) were merged into a single metric based upon an average weighted by estimated native species richness.

  17. GDP distribution across economic sectors in China 2014-2024

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). GDP distribution across economic sectors in China 2014-2024 [Dataset]. https://www.statista.com/statistics/270325/distribution-of-gross-domestic-product-gdp-across-economic-sectors-in-china/
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to preliminary data, the agricultural sector contributed around 6.8 percent to the gross domestic product (GDP) of China in 2024, whereas 36.5 percent of the economic value added originated from the industrial sector and 54.6 percent from the service sector, respectively. The total GDP of China at current prices amounted to approximately 134.91 trillion yuan in 2024. Economic development in China The gross domestic product (GDP) serves as a primary indicator to measure the economic performance of a country or a region. It is generally defined as the monetary value of all finished goods and services produced within a country in a specific period of time. It includes all of private and public spending, government spending, investments, and net exports which are calculated as total exports minus imports. In other words, GDP represents the size of the economy.With its national economy growing at an exceptional annual growth rate of above nine percent for three decades in succession, China had become the worlds’ second largest economy by 2010, surpassing all other economies but the United States. Even though China's GDP growth has cooled down in recent years, its economy still expanded at roughly two times the pace of the United States in 2024. Breakdown of GDP in China When compared to other developed countries, the proportions of agriculture and industry in China's GDP are significantly higher. Even though agriculture is a major industry in the United States, it only accounted for about one percent of the economy in 2023. While the service sector contributed to more than 70 percent of the economy in most developed countries, it's share was considerably lower in China. This was not only due to China's lower development level, but also to the country’s focus on manufacturing and export. However, as the future limitations of this growth model become more and more apparent, China is trying to shift it's economic focus to the high-tech and service sectors. Accordingly, growth rates of the service sector have been considerably higher than in industry and agriculture in the years before the spread of the coronavirus pandemic.

  18. F

    Contributions to percent change in real gross domestic product: Net exports...

    • fred.stlouisfed.org
    json
    Updated Aug 28, 2025
    + more versions
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    (2025). Contributions to percent change in real gross domestic product: Net exports of goods and services [Dataset]. https://fred.stlouisfed.org/series/A019RY2Q224SBEA
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    jsonAvailable download formats
    Dataset updated
    Aug 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Contributions to percent change in real gross domestic product: Net exports of goods and services (A019RY2Q224SBEA) from Q2 1947 to Q2 2025 about contributions, exports, percent, Net, goods, services, real, GDP, and USA.

  19. f

    Equivalent weighting factors of ecosystem services per hectare of...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Tianhong Li; Yao Ding (2023). Equivalent weighting factors of ecosystem services per hectare of terrestrial ecosystems in China [16]. [Dataset]. http://doi.org/10.1371/journal.pone.0174562.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tianhong Li; Yao Ding
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Equivalent weighting factors of ecosystem services per hectare of terrestrial ecosystems in China [16].

  20. T

    Italy GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 29, 2025
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    TRADING ECONOMICS (2025). Italy GDP Growth Rate [Dataset]. https://tradingeconomics.com/italy/gdp-growth
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 30, 1960 - Jun 30, 2025
    Area covered
    Italy
    Description

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

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(2025). World Uncertainty Index: Global: GDP Weighted Average [Dataset]. https://fred.stlouisfed.org/series/WUIGLOBALWEIGHTAVG

World Uncertainty Index: Global: GDP Weighted Average

WUIGLOBALWEIGHTAVG

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3 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Jul 9, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for World Uncertainty Index: Global: GDP Weighted Average (WUIGLOBALWEIGHTAVG) from Q1 1990 to Q2 2025 about uncertainty, average, World, GDP, and indexes.

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