33 datasets found
  1. T

    China GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, China GDP [Dataset]. https://tradingeconomics.com/china/gdp
    Explore at:
    csv, json, excel, xmlAvailable 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
    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.

  2. T

    China GDP Annual Growth Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). China GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth-annual
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jul 15, 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
    Dec 31, 1989 - Jun 30, 2025
    Area covered
    China
    Description

    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.

  3. T

    China GDP per capita

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, China GDP per capita [Dataset]. https://tradingeconomics.com/china/gdp-per-capita
    Explore at:
    csv, json, excel, xmlAvailable 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
    China
    Description

    The Gross Domestic Product per capita in China was last recorded at 13121.68 US dollars in 2024. The GDP per Capita in China is equivalent to 104 percent of the world's average. This dataset provides - China GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. T

    China GDP per capita PPP

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 25, 2013
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2013). China GDP per capita PPP [Dataset]. https://tradingeconomics.com/china/gdp-per-capita-ppp
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jul 25, 2013
    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.

  5. China CN: GDP: PPP: 2017 Price

    • ceicdata.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, China CN: GDP: PPP: 2017 Price [Dataset]. https://www.ceicdata.com/en/china/gross-domestic-product-purchasing-power-parity/cn-gdp-ppp-2017-price
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Gross Domestic Product
    Description

    China GDP: PPP: 2017 Price data was reported at 25,684,414.532 Intl $ mn in 2022. This records an increase from the previous number of 24,938,967.814 Intl $ mn for 2021. China GDP: PPP: 2017 Price data is updated yearly, averaging 7,839,613.420 Intl $ mn from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 25,684,414.532 Intl $ mn in 2022 and a record low of 1,616,385.776 Intl $ mn in 1990. China GDP: PPP: 2017 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

  6. C

    China GDP per Capita: PPP: 2021 Price

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, China GDP per Capita: PPP: 2021 Price [Dataset]. https://www.ceicdata.com/en/china/gross-domestic-product-purchasing-power-parity/gdp-per-capita-ppp-2021-price
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Gross Domestic Product
    Description

    China GDP per Capita: PPP: 2021 Price data was reported at 22,137.600 Intl $ in 2023. This records an increase from the previous number of 21,011.617 Intl $ for 2022. China GDP per Capita: PPP: 2021 Price data is updated yearly, averaging 7,381.927 Intl $ from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 22,137.600 Intl $ in 2023 and a record low of 1,645.579 Intl $ in 1990. China GDP per Capita: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Weighted average;

  7. Replication dataset and calculations for PIIE PB 16-24, Should the United...

    • piie.com
    Updated Dec 12, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chad P. Bown (2016). Replication dataset and calculations for PIIE PB 16-24, Should the United States Recognize China as a Market Economy?, by Chad P. Bown. (2016). [Dataset]. https://www.piie.com/publications/policy-briefs/should-united-states-recognize-china-market-economy
    Explore at:
    Dataset updated
    Dec 12, 2016
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Chad P. Bown
    Area covered
    China, United States
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Should the United States Recognize China as a Market Economy?, PIIE Policy Brief 16-24. If you use the data, please cite as: Bown, Chad P. (2016). Should the United States Recognize China as a Market Economy?. PIIE Policy Brief 16-24. Peterson Institute for International Economics.

  8. w

    Dataset of book subjects that contain A political economy of the United...

    • workwithdata.com
    Updated Nov 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2024). Dataset of book subjects that contain A political economy of the United States, China, and India : prosperity with inequality [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=A+political+economy+of+the+United+States%2C+China%2C+and+India+%3A+prosperity+with+inequality&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    India, China, United States
    Description

    This dataset is about book subjects. It has 12 rows and is filtered where the books is A political economy of the United States, China, and India : prosperity with inequality. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  9. k

    World Competitiveness Ranking based on Criteria

    • datasource.kapsarc.org
    Updated Mar 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). World Competitiveness Ranking based on Criteria [Dataset]. https://datasource.kapsarc.org/explore/dataset/world-competitiveness-ranking-based-on-criteria-2016/
    Explore at:
    Dataset updated
    Mar 13, 2024
    Description

    Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

    Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

    Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

    Follow data.kapsarc.org for timely data to advance energy economics research.

  10. f

    Fiscal stress and economic and financial variables

    • figshare.com
    txt
    Updated Jun 7, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Barbara Jarmulska (2020). Fiscal stress and economic and financial variables [Dataset]. http://doi.org/10.6084/m9.figshare.11593899.v4
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 7, 2020
    Dataset provided by
    figshare
    Authors
    Barbara Jarmulska
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.

  11. Replication dataset and calculations for PIIE Briefing 17-1, US-China...

    • piie.com
    Updated Jun 6, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adam S. Posen; Jiming Ha; Karen Dynan; Jason Furman; Joseph E. Gagnon; Nathan Sheets; Nicolas Véron; Jeromin Zettelmeyer; Chad P. Bown; Lee G. Branstetter; J. Bradford Jensen; Zixuan Huang; Nicholas R. Lardy; Jeffrey J. Schott; Zhiyao (Lucy) Lu (2017). Replication dataset and calculations for PIIE Briefing 17-1, US-China Cooperation in a Changing Global Economy, edited by Adam S. Posen and Jiming Ha (2017). [Dataset]. https://www.piie.com/publications/piie-briefings/us-china-cooperation-changing-global-economy
    Explore at:
    Dataset updated
    Jun 6, 2017
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Adam S. Posen; Jiming Ha; Karen Dynan; Jason Furman; Joseph E. Gagnon; Nathan Sheets; Nicolas Véron; Jeromin Zettelmeyer; Chad P. Bown; Lee G. Branstetter; J. Bradford Jensen; Zixuan Huang; Nicholas R. Lardy; Jeffrey J. Schott; Zhiyao (Lucy) Lu
    Description

    If you use the data, please cite as: Posen, Adam S., and Jiming Ha. (2017). US-China Cooperation in a Changing Global Economy. PIIE Briefing 17-1. Peterson Institute for International Economics.

  12. C

    China GDP: PPP: 2021 Price

    • ceicdata.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, China GDP: PPP: 2021 Price [Dataset]. https://www.ceicdata.com/en/china/gross-domestic-product-purchasing-power-parity/gdp-ppp-2021-price
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Gross Domestic Product
    Description

    China GDP: PPP: 2021 Price data was reported at 31,229,733.453 Intl $ mn in 2023. This records an increase from the previous number of 29,672,080.422 Intl $ mn for 2022. China GDP: PPP: 2021 Price data is updated yearly, averaging 9,704,809.855 Intl $ mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 31,229,733.453 Intl $ mn in 2023 and a record low of 1,868,036.534 Intl $ mn in 1990. China GDP: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

  13. Share price index in major developed and emerging economies 2019-2023

    • statista.com
    Updated Sep 19, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2023). Share price index in major developed and emerging economies 2019-2023 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
    Explore at:
    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Brazilian and Indian share prices became the highest performing of the major developed and emerging economies as of June 2023, with index values of 235.25 and 230.91 respectively in that month. Conversely, the lowest-performing were China and the Germany, both with index values of 86.98 and 113.04 respectively at this time. The index value is calculated with 2015 values as the baseline (i.e. 2015 = 100).

  14. C

    China CN: GDP: per Capita: Guangdong: Shenzhen

    • ceicdata.com
    Updated Dec 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). China CN: GDP: per Capita: Guangdong: Shenzhen [Dataset]. https://www.ceicdata.com/en/china/gross-domestic-product-prefecture-level-city-per-capita/cn-gdp-per-capita-guangdong-shenzhen
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Gross Domestic Product
    Description

    GDP: per Capita: Guangdong: Shenzhen data was reported at 195,230.173 RMB in 2023. This records an increase from the previous number of 183,801.000 RMB for 2022. GDP: per Capita: Guangdong: Shenzhen data is updated yearly, averaging 35,390.000 RMB from Dec 1979 (Median) to 2023, with 45 observations. The data reached an all-time high of 195,230.173 RMB in 2023 and a record low of 606.000 RMB in 1979. GDP: per Capita: Guangdong: Shenzhen data remains active status in CEIC and is reported by Shenzhen Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: per Capita.

  15. k

    Development Indicators

    • datasource.kapsarc.org
    Updated Apr 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Development Indicators [Dataset]. https://datasource.kapsarc.org/explore/dataset/saudi-arabia-world-development-indicators-1960-2014/
    Explore at:
    Dataset updated
    Apr 26, 2025
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

    Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

    Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

  16. Global merchandise exports index 2019-2024, by region

    • statista.com
    Updated Sep 19, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jose Sanchez (2023). Global merchandise exports index 2019-2024, by region [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
    Explore at:
    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In July 2024, the merchandise exports index worldwide, excluding the U.S., stood at 204.8. This is compared to an index value of 143 for the United States in the same month. The index was highest in emerging economies, reaching an index score of 353. Moreover, the merchandise imports index was also highest in emerging economies. The merchandise exports index is the U.S. dollar value of goods sold to the rest of the world, deflated by the U.S. Consumer Price Index (CPI).

  17. GDP loss due to COVID-19, by economy 2020

    • statista.com
    Updated Sep 19, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jose Sanchez (2023). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
    Explore at:
    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

  18. Industrial production growth worldwide 2019-2024, by region

    • statista.com
    Updated Sep 19, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jose Sanchez (2023). Industrial production growth worldwide 2019-2024, by region [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
    Explore at:
    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In July 2024, global industrial production, excluding the United States, increased by 1.5 percent compared to the same time in the previous year, based on three month moving averages. This is compared to an increase of 0.2 percent in advanced economies (excluding the United States) for the same time period. The global industrial production collapsed after the outbreak of COVID-19, but increased steadily in the months after, peaking at 23 percent in June 2021. Industrial growth rate tracks the output production in the industrial sector.

  19. H

    Hong Kong SAR, China GDP: PPP: 2021 Price

    • ceicdata.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Hong Kong SAR, China GDP: PPP: 2021 Price [Dataset]. https://www.ceicdata.com/en/hong-kong/gross-domestic-product-purchasing-power-parity/gdp-ppp-2021-price
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Hong Kong
    Variables measured
    Gross Domestic Product
    Description

    Hong Kong SAR (China) GDP: PPP: 2021 Price data was reported at 485,834.097 Intl $ mn in 2023. This records an increase from the previous number of 470,420.641 Intl $ mn for 2022. Hong Kong SAR (China) GDP: PPP: 2021 Price data is updated yearly, averaging 360,173.410 Intl $ mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 499,278.941 Intl $ mn in 2018 and a record low of 180,255.892 Intl $ mn in 1990. Hong Kong SAR (China) GDP: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

  20. T

    China Exports to United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 5, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). China Exports to United States [Dataset]. https://tradingeconomics.com/china/exports/united-states
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 5, 2017
    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
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    China
    Description

    China Exports to United States was US$525.65 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports to United States - data, historical chart and statistics - was last updated on August of 2025.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS, China GDP [Dataset]. https://tradingeconomics.com/china/gdp

China GDP

China GDP - Historical Dataset (1960-12-31/2024-12-31)

Explore at:
281 scholarly articles cite this dataset (View in Google Scholar)
csv, json, excel, xmlAvailable 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
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.

Search
Clear search
Close search
Google apps
Main menu