100+ datasets found
  1. Countries with largest stock markets globally 2025

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

  2. T

    Global Equity Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 16, 2019
    + more versions
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    TRADING ECONOMICS (2019). Global Equity Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/spglobal:ind
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Sep 16, 2019
    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, 2000 - Jul 20, 2025
    Description

    Prices for Global Equity Index including live quotes, historical charts and news. Global Equity Index was last updated by Trading Economics this July 20 of 2025.

  3. Sweden Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Jul 26, 2018
    + more versions
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    CEICdata.com (2018). Sweden Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/sweden/trade-index
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    Dataset updated
    Jul 26, 2018
    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, 2010 - Dec 1, 2021
    Area covered
    Sweden
    Variables measured
    Merchandise Trade
    Description

    Net Barter Terms of Trade Index data was reported at 99.930 2015=100 in 2021. This records an increase from the previous number of 99.062 2015=100 for 2020. Net Barter Terms of Trade Index data is updated yearly, averaging 100.967 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 108.386 2015=100 in 2001 and a record low of 97.159 2015=100 in 2018. Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  4. United States Net Barter Terms of Trade Index

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/united-states/trade-index/net-barter-terms-of-trade-index
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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, 2010 - Dec 1, 2021
    Area covered
    United States
    Variables measured
    Merchandise Trade
    Description

    United States Net Barter Terms of Trade Index data was reported at 104.655 2015=100 in 2021. This records an increase from the previous number of 100.000 2015=100 for 2020. United States Net Barter Terms of Trade Index data is updated yearly, averaging 100.042 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 105.128 2015=100 in 1995 and a record low of 91.765 2015=100 in 1985. United States Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  5. T

    Trading Open-End Index Fund Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 16, 2025
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    Data Insights Market (2025). Trading Open-End Index Fund Report [Dataset]. https://www.datainsightsmarket.com/reports/trading-open-end-index-fund-1989128
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Trading Open-End Index Fund market exhibits robust growth, driven by increasing investor preference for passive investment strategies and the diversification benefits offered by index funds. The market's size in 2025 is estimated at $500 billion, reflecting a Compound Annual Growth Rate (CAGR) of approximately 12% from 2019. This growth is fueled by several key factors, including the rising popularity of Exchange-Traded Funds (ETFs) which are a type of open-end index fund, the increasing accessibility of investment platforms, and a growing awareness among retail and institutional investors about the advantages of cost-effective index fund investing compared to actively managed funds. Technological advancements, such as robo-advisors and algorithmic trading, further contribute to market expansion by lowering barriers to entry and enhancing efficiency. While regulatory changes and market volatility can pose challenges, the long-term outlook for the Trading Open-End Index Fund market remains positive, with significant potential for expansion in developing economies where investment awareness is rapidly growing. Leading players like BlackRock (iShares), Nomura, Nikko, and Daiwa, along with several other prominent asset management firms in Asia and beyond, are actively shaping the market landscape through product innovation and strategic partnerships. The forecast period from 2025 to 2033 projects a continued upward trajectory for the market, with a CAGR projection remaining above 10%. Regional variations are expected, with North America and Europe maintaining substantial market shares, while Asia-Pacific is anticipated to witness the fastest growth rate due to its expanding middle class and increasing participation in global capital markets. Competitive pressures are expected to intensify, with existing players focusing on enhancing their product offerings, expanding their distribution networks, and leveraging technological innovations to gain a competitive edge. The market will likely see further consolidation through mergers and acquisitions as firms seek to optimize their scale and reach. Segmentation within the market is likely to become more nuanced, with specialization emerging around specific index types (e.g., sector-specific, thematic, or sustainable indices).

  6. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
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    excel, csv, xml, 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
    Jan 5, 1965 - Jul 18, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, fell to 39819 points on July 18, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 3.46%, though it remains 0.61% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on July of 2025.

  7. G

    Trade openness by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 21, 2016
    + more versions
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    Globalen LLC (2016). Trade openness by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/trade_openness/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 21, 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, 1960 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 153 countries was 94.91 percent. The highest value was in Luxembourg: 386.03 percent and the lowest value was in Sudan: 6.77 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  8. Croatia Import Volume Index

    • ceicdata.com
    Updated Feb 27, 2018
    + more versions
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    CEICdata.com (2018). Croatia Import Volume Index [Dataset]. https://www.ceicdata.com/en/croatia/trade-index
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    Dataset updated
    Feb 27, 2018
    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, 2010 - Dec 1, 2021
    Area covered
    Croatia
    Variables measured
    Merchandise Trade
    Description

    Import Volume Index data was reported at 130.173 2015=100 in 2021. This records an increase from the previous number of 118.805 2015=100 for 2020. Import Volume Index data is updated yearly, averaging 95.285 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 130.173 2015=100 in 2021 and a record low of 51.203 2015=100 in 2000. Import Volume Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Trade Index. Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the import volume indexes (lines 73) in the IMF's International Financial Statistics are used.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  9. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, 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 19, 1990 - Jul 18, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3534 points on July 18, 2025, gaining 0.50% from the previous session. Over the past month, the index has climbed 5.13% and is up 18.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  10. Titan-Global-Trading (Company) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, Titan-Global-Trading (Company) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/index.php/company/Titan-Global-Trading/
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    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/index.php/terms-of-use/https://whoisdatacenter.com/index.php/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 1, 2025
    Description

    Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Titan-Global-Trading.

  11. d

    Crypto Market Indices | VWAP & PRIMKT Indices Data | Real-Time & Historical...

    • datarade.ai
    .json, .csv
    + more versions
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    CoinAPI, Crypto Market Indices | VWAP & PRIMKT Indices Data | Real-Time & Historical Crypto Index [Dataset]. https://datarade.ai/data-products/coinapi-crypto-index-vwap-primkt-indexes-cryptocurrenc-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Congo (Democratic Republic of the), Lesotho, Togo, Saudi Arabia, Oman, Botswana, Brunei Darussalam, Brazil, Micronesia (Federated States of), Australia
    Description

    CoinAPI's comprehensive set of crypto market indices gives traders and institutions the reliable price benchmarks they need. Our system tracks VWAP and PRIMKT indices data across more than 350 exchanges, updating every 100ms to ensure you always have the latest market information.

    The VWAP (Volume-Weighted Average Price) index shows you what's happening across the entire market by combining prices and trading volumes from multiple exchanges. By weighting each trade by its size, VWAP reveals the true market consensus price, filtering out noise from low-liquidity venues. This makes it perfect for making informed trading decisions or valuing your crypto holdings accurately.

    Meanwhile, our PRIMKT (Principal Market Price) index focuses specifically on the exchanges with the highest trading volumes for each cryptocurrency pair. This approach meets important accounting standards like IFRS 13 and FASB ASC 820, making it especially valuable for companies that need to report crypto assets on their financial statements.

    Both real-time and historical crypto index data are available, giving you the complete picture of market movements over time. Whether you're trading actively, conducting research, or preparing financial reports, our crypto market indices provide the accurate price discovery tools you need.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Market indexes (VWAP, PRIMKT) - 13 Data Sources - +7k indexes tracked - +2k assets covered - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

    Technical Excellence: - 99,9% uptime guarantee - 100ms update frequency - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    From Wall Street trading desks to Silicon Valley analytics firms, financial professionals worldwide rely on our indices when accuracy matters most. We've built our reputation on delivering clean, consistent market benchmarks that stand up to scrutiny. When organizations need to know the true price of digital assets - not just what's displayed on a single exchange - they turn to CoinAPI. Join the community of professionals who've made our crypto market indices their gold standard for price discovery.

  12. T

    Global Supply Chain Pressure Index

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 19, 2022
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    TRADING ECONOMICS (2022). Global Supply Chain Pressure Index [Dataset]. https://tradingeconomics.com/world/supply-chain-pressure-index
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 19, 2022
    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
    Sep 30, 1997 - Jun 30, 2025
    Area covered
    World
    Description

    Supply Chain Pressure Index in World decreased to 0 points in June from 0.30 points in May of 2025. This dataset includes a chart with historical data for Global Supply Chain Pressure Index.

  13. Russia Export Value Index

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia Export Value Index [Dataset]. https://www.ceicdata.com/en/russia/trade-index/export-value-index
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    Dataset updated
    Jan 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, 2010 - Dec 1, 2021
    Area covered
    Russia
    Variables measured
    Merchandise Trade
    Description

    Russia Export Value Index data was reported at 144.638 2015=100 in 2021. This records an increase from the previous number of 97.644 2015=100 for 2020. Russia Export Value Index data is updated yearly, averaging 88.909 2015=100 from Dec 1995 (Median) to 2021, with 27 observations. The data reached an all-time high of 155.017 2015=100 in 2012 and a record low of 21.804 2015=100 in 1998. Russia Export Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Trade Index. Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's export value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

  14. v

    Taiwan Import Data

    • volza.com
    • mirhenge.com
    Updated Mar 31, 2025
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    (2025). Taiwan Import Data [Dataset]. https://www.volza.com/global-trade-data/plan/startup/
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    Dataset updated
    Mar 31, 2025
    Description

    Comprehensive import data for Taiwan , including supplier names, addresses, HS Codes, and more. Updated monthly.

  15. United States Import Value Index

    • ceicdata.com
    Updated Mar 15, 2023
    + more versions
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    CEICdata.com (2023). United States Import Value Index [Dataset]. https://www.ceicdata.com/en/united-states/trade-index/import-value-index
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    Dataset updated
    Mar 15, 2023
    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, 2010 - Dec 1, 2021
    Area covered
    United States
    Variables measured
    Merchandise Trade
    Description

    United States Import Value Index data was reported at 126.779 2015=100 in 2021. This records an increase from the previous number of 103.958 2015=100 for 2020. United States Import Value Index data is updated yearly, averaging 51.384 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 126.779 2015=100 in 2021 and a record low of 11.319 2015=100 in 1982. United States Import Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Index. Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's import value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

  16. Poland PL: Net Barter Terms of Trade Index

    • ceicdata.com
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    CEICdata.com, Poland PL: Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/poland/trade-index/pl-net-barter-terms-of-trade-index
    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, 2005 - Dec 1, 2016
    Area covered
    Poland
    Variables measured
    Merchandise Trade
    Description

    Poland PL: Net Barter Terms of Trade Index data was reported at 101.117 2000=100 in 2016. This records an increase from the previous number of 100.503 2000=100 for 2015. Poland PL: Net Barter Terms of Trade Index data is updated yearly, averaging 101.710 2000=100 from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 105.402 2000=100 in 2004 and a record low of 97.921 2000=100 in 2012. Poland PL: Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.; ; United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.; ;

  17. T

    Trinidad and Tobago Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). Trinidad and Tobago Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/trinidad-and-tobago/trade-index/net-barter-terms-of-trade-index
    Explore at:
    Dataset updated
    Dec 15, 2017
    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, 2010 - Dec 1, 2021
    Area covered
    Trinidad and Tobago
    Variables measured
    Merchandise Trade
    Description

    Trinidad and Tobago Net Barter Terms of Trade Index data was reported at 115.285 2015=100 in 2021. This records an increase from the previous number of 74.791 2015=100 for 2020. Trinidad and Tobago Net Barter Terms of Trade Index data is updated yearly, averaging 99.723 2015=100 from Dec 1980 (Median) to 2021, with 33 observations. The data reached an all-time high of 145.320 2015=100 in 1980 and a record low of 63.754 2015=100 in 1988. Trinidad and Tobago Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  18. Bangladesh BD: Net Barter Terms of Trade Index

    • ceicdata.com
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    CEICdata.com, Bangladesh BD: Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/bangladesh/trade-index/bd-net-barter-terms-of-trade-index
    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, 2009 - Dec 1, 2020
    Area covered
    Bangladesh
    Variables measured
    Merchandise Trade
    Description

    Bangladesh BD: Net Barter Terms of Trade Index data was reported at 68.332 2000=100 in 2020. This records an increase from the previous number of 65.803 2000=100 for 2019. Bangladesh BD: Net Barter Terms of Trade Index data is updated yearly, averaging 103.596 2000=100 from Dec 1980 (Median) to 2020, with 41 observations. The data reached an all-time high of 162.264 2000=100 in 1985 and a record low of 57.575 2000=100 in 2011. Bangladesh BD: Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  19. Albania Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Feb 7, 2018
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    CEICdata.com (2018). Albania Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/albania/trade-index
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    Dataset updated
    Feb 7, 2018
    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, 2010 - Dec 1, 2021
    Area covered
    Albania
    Variables measured
    Merchandise Trade
    Description

    Net Barter Terms of Trade Index data was reported at 103.722 2015=100 in 2021. This records a decrease from the previous number of 103.929 2015=100 for 2020. Net Barter Terms of Trade Index data is updated yearly, averaging 102.143 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 108.143 2015=100 in 2000 and a record low of 97.753 2015=100 in 2009. Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Albania – Table AL.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  20. United States Export Value Index

    • ceicdata.com
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    CEICdata.com, United States Export Value Index [Dataset]. https://www.ceicdata.com/en/united-states/trade-index/export-value-index
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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, 2010 - Dec 1, 2021
    Area covered
    United States
    Variables measured
    Merchandise Trade
    Description

    United States Export Value Index data was reported at 116.753 2015=100 in 2021. This records an increase from the previous number of 94.833 2015=100 for 2020. United States Export Value Index data is updated yearly, averaging 47.271 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 116.753 2015=100 in 2021 and a record low of 15.076 2015=100 in 1983. United States Export Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Index. Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's export value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

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Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
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Countries with largest stock markets globally 2025

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44 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 18, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2025
Area covered
World
Description

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

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