100+ datasets found
  1. G

    Percent of world GDP by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 18, 2016
    + more versions
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    Globalen LLC (2016). Percent of world GDP by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_share/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Nov 18, 2016
    Dataset authored and provided by
    Globalen LLC
    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, 1980 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 184 countries was 0.54 percent. The highest value was in the USA: 26.47 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

  2. Share of economic sectors in the global gross domestic product from 2013 to...

    • statista.com
    • ai-chatbox.pro
    Updated Feb 20, 2025
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    Statista (2025). Share of economic sectors in the global gross domestic product from 2013 to 2023 [Dataset]. https://www.statista.com/statistics/256563/share-of-economic-sectors-in-the-global-gross-domestic-product/
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    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the share of economic sectors in the global gross domestic product (GDP) from 2013 to 2023. In 2022, agriculture contributed 4.25 percent, industry contributed approximately 27.22 percent and services contributed about 61.76 percent to the global gross domestic product. See global GDP for comparison.

  3. United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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    Dataset updated
    Dec 15, 2010
    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, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  4. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
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    xml, excel, 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, 1960 - Dec 31, 2024
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. United States share of global gross domestic product (GDP) 2029

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). United States share of global gross domestic product (GDP) 2029 [Dataset]. https://www.statista.com/statistics/270267/united-states-share-of-global-gross-domestic-product-gdp/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the United States accounted for 15.56 percent of global gross domestic product (GDP) after adjusting for purchasing power parity (PPP). This share was expected to decrease to 14.72 percent by 2029, which is roughly a seventh of the global total. What is PPP? The easiest way to understand purchasing power parity is the Big Mac Index, a measure developed by The Economist. The index tracks the price of the McDonald’s Big Mac burger, sold at each of its thousands of restaurants worldwide. Countries where the Big Mac is most expensive have higher purchasing power, meaning one can buy more for each unit of that currency. To calculate PPP, economists use a group of goods to calculate the ratio of the price of this group in each country. This ratio is then used to convert all countries into a standardized price level, on parity with each other. Why use PPP? A U.S. dollar in the United States does not have the same purchasing power as a dollar in China, even after considering the exchange rate. For this reason, adjusting for PPP gives an idea of what the rest of the world could buy in the United States, if prices were the same as in their home country. However, some economists argue that using PPP for comparisons between countries is inaccurate because it changes the price level differently for each country. Still, because it accounts not only for country-specific effects but also inflation and exchange rate fluctuations, PPP is a very popular metric.

  6. Value of the global sharing economy 2021-2024, with 2027 and 2030 forecast

    • statista.com
    Updated May 16, 2025
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    Statista (2025). Value of the global sharing economy 2021-2024, with 2027 and 2030 forecast [Dataset]. https://www.statista.com/statistics/830986/value-of-the-global-sharing-economy/
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Sharing economy services have exploded in popularity over recent years, with many expecting this trend to continue. The total value of the global sharing economy has been predicted to increase to over ************ U.S. dollars by 2030, up from *** billion U.S. dollars in 2024. This has translated to a compound annual growth rate (CAGR) of approximately ** percent. The sharing economyThe sharing economy is where assets owned by members of a network can be temporarily accessed by other members of the network, generally through an online platform. This differs from traditional businesses, whereby goods and services are owned by a single owner and then rented to the public. Because of this difference, sharing economy companies often escape industry regulations. The two most common examples of the sharing economy are the sharing of private vehicles via ride-hailing apps such as Uber, and the various other sharing economy businesses – predominantly Airbnb, that has left its mark globally. Coworking, where workers from different organizations can access shared office space, is also considered part of the sharing economy. RegulationThe growth predicted above assumes that the sharing economy retains its position outside of industry regulations – something that is not certain. For example, opinions of Canadians on how the government should regulate Uber have been that they should be regulated in the same way as taxis, which would raise licensing and staffing costs. This would of course increase the cost to the consumer. What has kept customers however, are the top benefits consumers recognize from using sharing economy services, such as it generally being cheaper for users.

  7. 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.

  8. France FR: Stocks Traded: Total Value: % of GDP

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). France FR: Stocks Traded: Total Value: % of GDP [Dataset]. https://www.ceicdata.com/en/france/financial-sector/fr-stocks-traded-total-value--of-gdp
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    Dataset updated
    Dec 15, 2017
    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, 2003 - Dec 1, 2014
    Area covered
    France
    Variables measured
    Turnover
    Description

    France FR: Stocks Traded: Total Value: % of GDP data was reported at 40.973 % in 2014. This records an increase from the previous number of 39.327 % for 2013. France FR: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 13.969 % from Dec 1975 (Median) to 2014, with 40 observations. The data reached an all-time high of 108.977 % in 2007 and a record low of 0.850 % in 1977. France FR: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  9. Growth of the global gross domestic product (GDP) 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 20, 2025
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    Statista (2025). Growth of the global gross domestic product (GDP) 2030 [Dataset]. https://www.statista.com/statistics/273951/growth-of-the-global-gross-domestic-product-gdp/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    In most years since 1980, global GDP growth has been relatively consistent, generally fluctuating between two and five percent growth from year to year. The most notable exceptions to this were during the Great Recession in 2009, and again in 2020 during the Covid-19 pandemic, where the global economy actually shrank in both of these years. As the world economy continues to deal with the economic impact of the pandemic, as well as the fallout from Russia's invasion of Ukraine in 2022, the future remains uncertain, however current estimates suggest that annual growth will return to steady figures of around 3 percent in 2029.

  10. Norway NO: Stocks Traded: Total Value: % of GDP

    • ceicdata.com
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    CEICdata.com, Norway NO: Stocks Traded: Total Value: % of GDP [Dataset]. https://www.ceicdata.com/en/norway/financial-sector/no-stocks-traded-total-value--of-gdp
    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, 2006 - Dec 1, 2017
    Area covered
    Norway
    Variables measured
    Turnover
    Description

    Norway NO: Stocks Traded: Total Value: % of GDP data was reported at 29.547 % in 2017. This records an increase from the previous number of 28.386 % for 2016. Norway NO: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 20.933 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 101.684 % in 2007 and a record low of 0.130 % in 1980. Norway NO: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  11. MSCI World: Reflecting Global Economic Trends or Inflated Valuations?...

    • kappasignal.com
    Updated May 7, 2024
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    KappaSignal (2024). MSCI World: Reflecting Global Economic Trends or Inflated Valuations? (Forecast) [Dataset]. https://www.kappasignal.com/2024/05/msci-world-reflecting-global-economic.html
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    Dataset updated
    May 7, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    MSCI World: Reflecting Global Economic Trends or Inflated Valuations?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  12. G

    Shadow economy by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Oct 2, 2023
    + more versions
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    Globalen LLC (2023). Shadow economy by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/shadow_economy/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Oct 2, 2023
    Dataset authored and provided by
    Globalen LLC
    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, 1991 - Dec 31, 2015
    Area covered
    World, World
    Description

    The average for 2015 based on 158 countries was 27.78 percent. The highest value was in Zimbabwe: 67 percent and the lowest value was in Switzerland: 6.94 percent. The indicator is available from 1991 to 2015. Below is a chart for all countries where data are available.

  13. T

    Saudi Arabia GDP

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 1, 2002
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    TRADING ECONOMICS (2002). Saudi Arabia GDP [Dataset]. https://tradingeconomics.com/saudi-arabia/gdp
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Apr 1, 2002
    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, 1968 - Dec 31, 2024
    Area covered
    Saudi Arabia
    Description

    The Gross Domestic Product (GDP) in Saudi Arabia was worth 1237.53 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Saudi Arabia represents 1.17 percent of the world economy. This dataset provides - Saudi Arabia GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. Oman OM: GDP: % of Total Value Added: Industry

    • ceicdata.com
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    CEICdata.com, Oman OM: GDP: % of Total Value Added: Industry [Dataset]. https://www.ceicdata.com/en/oman/governance-economic-environment-and-growth-non-oecd-member-annual/om-gdp--of-total-value-added-industry
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    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
    Oman
    Description

    Oman OM: GDP: % of Total Value Added: Industry data was reported at 56.980 % in 2022. This records an increase from the previous number of 50.630 % for 2021. Oman OM: GDP: % of Total Value Added: Industry data is updated yearly, averaging 54.100 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 68.190 % in 2011 and a record low of 44.380 % in 1998. Oman OM: GDP: % of Total Value Added: Industry 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 Oman – Table OM.OECD.GGI: Governance: Economic Environment and Growth: Non OECD Member: Annual.

  15. G

    Economic freedom, overall index in North America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 28, 2019
    + more versions
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    Globalen LLC (2019). Economic freedom, overall index in North America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/economic_freedom/North-America/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Nov 28, 2019
    Dataset authored and provided by
    Globalen LLC
    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, 1995 - Dec 31, 2024
    Area covered
    North America, World
    Description

    The average for 2024 based on 20 countries was 60 index points. The highest value was in Canada: 72 index points and the lowest value was in Cuba: 26 index points. The indicator is available from 1995 to 2024. Below is a chart for all countries where data are available.

  16. F

    Stock Market Total Value Traded to GDP for Japan

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Stock Market Total Value Traded to GDP for Japan [Dataset]. https://fred.stlouisfed.org/series/DDDM02JPA156NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

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

    Area covered
    Japan
    Description

    Graph and download economic data for Stock Market Total Value Traded to GDP for Japan (DDDM02JPA156NWDB) from 1975 to 2020 about market cap, stock market, Japan, trade, and GDP.

  17. Vietnam VN: Stocks Traded: Total Value: % of GDP

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2023). Vietnam VN: Stocks Traded: Total Value: % of GDP [Dataset]. https://www.ceicdata.com/en/vietnam/financial-sector/vn-stocks-traded-total-value--of-gdp
    Explore at:
    Dataset updated
    Feb 15, 2025
    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, 2008 - Dec 1, 2017
    Area covered
    Vietnam
    Variables measured
    Turnover
    Description

    Vietnam VN: Stocks Traded: Total Value: % of GDP data was reported at 17.001 % in 2017. This records an increase from the previous number of 10.850 % for 2016. Vietnam VN: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 10.850 % from Dec 2008 (Median) to 2017, with 9 observations. The data reached an all-time high of 21.384 % in 2009 and a record low of 5.527 % in 2011. Vietnam VN: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  18. F

    Stock Market Total Value Traded to GDP for Zimbabwe

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Stock Market Total Value Traded to GDP for Zimbabwe [Dataset]. https://fred.stlouisfed.org/series/DDDM02ZWA156NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

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

    Description

    Graph and download economic data for Stock Market Total Value Traded to GDP for Zimbabwe (DDDM02ZWA156NWDB) from 1993 to 1999 about Zimbabwe, market cap, stock market, trade, and GDP.

  19. T

    Iran GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Iran GDP [Dataset]. https://tradingeconomics.com/iran/gdp
    Explore at:
    excel, xml, csv, jsonAvailable 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
    Iran
    Description

    The Gross Domestic Product (GDP) in Iran was worth 436.91 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Iran represents 0.41 percent of the world economy. This dataset provides - Iran GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
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    Jose Sanchez (2025). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    May 30, 2025
    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.

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Globalen LLC (2016). Percent of world GDP by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_share/

Percent of world GDP by country, around the world | TheGlobalEconomy.com

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17 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, csvAvailable download formats
Dataset updated
Nov 18, 2016
Dataset authored and provided by
Globalen LLC
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, 1980 - Dec 31, 2023
Area covered
World, World
Description

The average for 2023 based on 184 countries was 0.54 percent. The highest value was in the USA: 26.47 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

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