100+ datasets found
  1. c

    AI Global Index Dataset

    • cubig.ai
    Updated Jun 30, 2025
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    CUBIG (2025). AI Global Index Dataset [Dataset]. https://cubig.ai/store/products/529/ai-global-index-dataset
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    1) Data Introduction • The AI Global Index Dataset is a comprehensive index that benchmarks 62 countries based on the level of AI investment, innovation, and implementation, including seven key indicators (human resources, infrastructure, operational environment, research, development, government strategy, commercialization) and general information by country (region, cluster, income group, political system).

    2) Data Utilization (1) AI Global Index Dataset has characteristics that: • This dataset consists of a total of 13 columns with 5 categorical variables (regions, clusters, etc.) and 8 numerical variables (scores for each indicator), covering 62 countries. • The seven key indicators are classified into three pillars: △ implementation (human resources/infrastructure/operational environment) △ innovation (R&D) △ investment (government strategy/commercialization), and assess each country's overall AI ecosystem capabilities in multiple dimensions. (2) AI Global Index Dataset can be used to: • Global AI leadership pattern analysis: Correlation analysis between seven indicators can identify AI strengths and weaknesses by country and perform group comparisons by region and income level. • Machine learning-based predictive model: It can be used for data science education and application, such as country-specific index prediction through regression analysis or classification of AI development types through clustering.

  2. Value of MSCI World USD index 1986-2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Value of MSCI World USD index 1986-2024 [Dataset]. https://www.statista.com/statistics/276225/annual-trend-of-the-msci-world-index-since-1969/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

  3. d

    Realtime and Historical Premium Global Market Indexes

    • datarade.ai
    .json
    Updated Jun 9, 2021
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    Finage (2021). Realtime and Historical Premium Global Market Indexes [Dataset]. https://datarade.ai/data-products/realtime-and-historical-premium-global-market-indexes-finage
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    .jsonAvailable download formats
    Dataset updated
    Jun 9, 2021
    Dataset authored and provided by
    Finage
    Area covered
    Korea (Republic of), Germany, India, China, France, United States of America
    Description

    Premium Indices

    Real-Time 1600+ Global Index Market Coverage WebSocket Unlimited API Calls Historical Data HTTPS Encryption Premium Support

    Finage offers you a public server, VPS, and dedicated server for your applications. Edit, manage and build your own plans on your private server. Change the incoming data structure in minutes.

  4. United States Index: Standard & Poors: 500

    • ceicdata.com
    Updated Feb 1, 2018
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    CEICdata.com (2018). United States Index: Standard & Poors: 500 [Dataset]. https://www.ceicdata.com/en/united-states/sp-global-us-index
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    Dataset updated
    Feb 1, 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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    Index: Standard & Poors: 500 data was reported at 5,569.060 1941-1943=10 in Apr 2025. This records a decrease from the previous number of 5,611.850 1941-1943=10 for Mar 2025. Index: Standard & Poors: 500 data is updated monthly, averaging 1,038.565 1941-1943=10 from Jan 1976 (Median) to Apr 2025, with 592 observations. The data reached an all-time high of 6,040.530 1941-1943=10 in Jan 2025 and a record low of 87.040 1941-1943=10 in Feb 1978. Index: Standard & Poors: 500 data remains active status in CEIC and is reported by S&P Global. The data is categorized under Global Database’s United States – Table US.Z002: S&P Global: US Index.

  5. Global Stock, ETF, and Index data

    • datarade.ai
    .json, .csv
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    Twelve Data, Global Stock, ETF, and Index data [Dataset]. https://datarade.ai/data-products/twelve-data-world-stock-forex-crypto-data-via-api-and-webs-twelve-data
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    .json, .csvAvailable download formats
    Dataset authored and provided by
    Twelve Data
    Area covered
    Afghanistan, Costa Rica, Christmas Island, Egypt, Belarus, Mozambique, Burundi, Iran (Islamic Republic of), Micronesia (Federated States of), United States Minor Outlying Islands
    Description

    Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

    At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

    We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

  6. I

    Index Fund Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 13, 2025
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    Data Insights Market (2025). Index Fund Report [Dataset]. https://www.datainsightsmarket.com/reports/index-fund-1948351
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 13, 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 index fund market is experiencing robust growth, driven by increasing investor awareness of passive investment strategies and the pursuit of diversified, cost-effective portfolios. The market's appeal stems from its simplicity – mirroring a specific market index, eliminating the need for active management and potentially reducing fees. This makes index funds particularly attractive to long-term investors and those seeking efficient market exposure. While precise figures are unavailable, considering a global market size of approximately $10 trillion USD in 2025 with a Compound Annual Growth Rate (CAGR) of 12% is a reasonable estimation based on recent market performance and industry reports. This growth is fueled by factors like the rising adoption of Exchange-Traded Funds (ETFs), a prevalent form of index fund, and the ongoing shift towards passive investing globally. The continued expansion of the global financial market, along with advancements in technology facilitating easy access to investment platforms, contributes significantly to this growth trajectory. Several key players dominate the market, including prominent international players like Vanguard, BlackRock, and Fidelity, alongside significant domestic Chinese firms such as Tianhong Fund, E Fund, and China Asset Management. However, competitive pressures are increasing, with new entrants and existing players constantly innovating to offer unique product features and cater to evolving investor preferences. Regulatory changes impacting investment strategies and market volatility represent potential restraints. Nevertheless, the long-term outlook for the index fund market remains positive, primarily driven by demographic shifts, increasing investor sophistication, and the inherent advantages of passive investing in a globally interconnected economy. The continued expansion of both developed and emerging markets will further fuel the market's growth over the forecast period of 2025-2033.

  7. United States New York Stock Exchange: Index: US 100 Index

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States New York Stock Exchange: Index: US 100 Index [Dataset]. https://www.ceicdata.com/en/united-states/new-york-stock-exchange-monthly/new-york-stock-exchange-index-us-100-index
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    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    United States New York Stock Exchange: Index: US 100 Index data was reported at 16,491.357 NA in Apr 2025. This records a decrease from the previous number of 16,852.600 NA for Mar 2025. United States New York Stock Exchange: Index: US 100 Index data is updated monthly, averaging 10,169.600 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 17,440.815 NA in Feb 2025 and a record low of 5,695.000 NA in May 2012. United States New York Stock Exchange: Index: US 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

  8. Global merchandise imports index 2019-2025, by region

    • statista.com
    Updated May 30, 2025
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    Jose Sanchez (2025). Global merchandise imports index 2019-2025, by region [Dataset]. https://www.statista.com/topics/5442/global-economic-indicators/
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In April 2025, the global merchandise imports index, excluding the U.S., stood at 205.07. This is compared to a value of 120.51 for the United States in the same period. In emerging economies, it reached an index level of nearly 339.41.The merchandise imports index is the U.S. dollar value of goods bought from the rest of the world, deflated by the U.S. Consumer Price Index (CPI).

  9. United States Import Value Index

    • ceicdata.com
    Updated Mar 15, 2023
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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;;

  10. T

    United States - Outbound Price Index (International Services): Air Freight...

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, United States - Outbound Price Index (International Services): Air Freight for Asia [Dataset]. https://tradingeconomics.com/united-states/services-outbound-index-asia-index-2000-100-m-nsa-fed-data.html
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    csv, json, xml, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Outbound Price Index (International Services): Air Freight for Asia was 174.10000 Index 2000=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Outbound Price Index (International Services): Air Freight for Asia reached a record high of 322.60000 in August of 2021 and a record low of 95.10000 in December of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Outbound Price Index (International Services): Air Freight for Asia - last updated from the United States Federal Reserve on August of 2025.

  11. Global Retirement Index 2024

    • statista.com
    Updated Jun 10, 2025
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    Statista (2025). Global Retirement Index 2024 [Dataset]. https://www.statista.com/statistics/1330018/global-retirement-index/
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    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Switzerland ranks the highest on the Global Retirement Index in 2024, with an index score of ** percent. For instance, the country scores high on the health and quality of life sub-indexes. Norway follows in second with an index score of ** percent, with Iceland following in third.

  12. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around ** percent higher than in January 2020, while most other markets were only between ** and ** percent higher. Why did the NASDAQ recover the quickest? Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide. Which markets suffered the most? The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

  13. Global consumer confidence index 2020-2025

    • statista.com
    Updated Apr 15, 2020
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    Statista (2020). Global consumer confidence index 2020-2025 [Dataset]. https://www.statista.com/statistics/1035883/global-consumer-confidence-index/
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    Dataset updated
    Apr 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Jul 2025
    Area covered
    Worldwide
    Description

    In April 2020, the global consumer confidence index of ** countries worldwide dropped to **** following the outbreak of the COVID-19 pandemic. It then slowly increased until July 2021, when it reached an index score of ****. Global consumer confidence dropped in the latter half of 2022 following rising inflation rates, but has been increasing since November that year.

  14. T

    United States - Outbound Price Index (International Services): Air Freight

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, United States - Outbound Price Index (International Services): Air Freight [Dataset]. https://tradingeconomics.com/united-states/services-outbound-index-outbound-air-freight-index-2000-100-m-nsa-fed-data.html
    Explore at:
    json, xml, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Outbound Price Index (International Services): Air Freight was 165.80000 Index 2000=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Outbound Price Index (International Services): Air Freight reached a record high of 241.30000 in August of 2021 and a record low of 94.90000 in December of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Outbound Price Index (International Services): Air Freight - last updated from the United States Federal Reserve on July of 2025.

  15. I

    Global News Index and Extracted Features Repository (v.1.2.0)

    • databank.illinois.edu
    Updated Mar 5, 2025
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    (2025). Global News Index and Extracted Features Repository (v.1.2.0) [Dataset]. http://doi.org/10.13012/B2IDB-5649852_V5
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    Dataset updated
    Mar 5, 2025
    License

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

    Description

    The Cline Center Global News Index is a searchable database of textual features extracted from millions of news stories, specifically designed to provide comprehensive coverage of events around the world. In addition to searching documents for keywords, users can query metadata and features such as named entities extracted using Natural Language Processing (NLP) methods and variables that measure sentiment and emotional valence. Archer is a web application purpose-built by the Cline Center to enable researchers to access data from the Global News Index. Archer provides a user-friendly interface for querying the Global News Index (with the back-end indexing still handled by Solr). By default, queries are built using icons and drop-down menus. More technically-savvy users can use Lucene/Solr query syntax via a ‘raw query’ option. Archer allows users to save and iterate on their queries, and to visualize faceted query results, which can be helpful for users as they refine their queries. Additional Resources: - Access to Archer and the Global News Index is limited to account-holders. If you are interested in signing up for an account, please fill out the Archer Access Request Form so we can determine if you are eligible for access or not. - Current users who would like to provide feedback, such as reporting a bug or requesting a feature, can fill out the Archer User Feedback Form. - The Cline Center sends out periodic email newsletters to the Archer Users Group. Please fill out this form to subscribe to it. Citation Guidelines: 1) To cite the GNI codebook (or any other documentation associated with the Global News Index and Archer) please use the following citation: Cline Center for Advanced Social Research. 2023. Global News Index and Extracted Features Repository [codebook], v1.2.0. Champaign, IL: University of Illinois. June. XX. doi:10.13012/B2IDB-5649852_V5 2) To cite data from the Global News Index (accessed via Archer or otherwise) please use the following citation (filling in the correct date of access): Cline Center for Advanced Social Research. 2023. Global News Index and Extracted Features Repository [database], v1.2.0. Champaign, IL: University of Illinois. Jun. XX. Accessed Month, DD, YYYY. doi:10.13012/B2IDB-5649852_V5 *NOTE: V4 is suppressed and V5 is replacing V4 with updated ‘Archer’ documents.

  16. G

    International merchandise trade, by Standard International Trade...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). International merchandise trade, by Standard International Trade Classification, customs-based price index, monthly [Dataset]. https://open.canada.ca/data/en/dataset/7de7ab41-8305-4806-b000-929594da69b7
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    html, csv, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    International merchandise trade, grouped by Standard International Trade Classification (SITC). Users have the option of selecting Imports or Exports, as well as Paasche or Laspeyres price indexes. Data are unadjusted, and are on a Customs basis.

  17. F

    Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall

    • ceicdata.com
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    CEICdata.com, Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall [Dataset]. https://www.ceicdata.com/en/finland/transportation/fi-logistics-performance-index-1low-to-5high-overall
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    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, 2007 - Dec 1, 2016
    Area covered
    Finland
    Variables measured
    Vehicle Traffic
    Description

    Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall data was reported at 3.921 NA in 2016. This records an increase from the previous number of 3.623 NA for 2014. Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall data is updated yearly, averaging 3.890 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.050 NA in 2012 and a record low of 3.623 NA in 2014. Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Finland – Table FI.World Bank.WDI: Transportation. Logistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010).; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

  18. w

    Data from: Global Cybersecurity Index

    • data360.worldbank.org
    Updated Apr 18, 2025
    + more versions
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    (2025). Global Cybersecurity Index [Dataset]. https://data360.worldbank.org/en/dataset/ITU_GCI
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    Dataset updated
    Apr 18, 2025
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Time period covered
    2020 - 2024
    Description

    The Global Cybersecurity Index (GCI) is a trusted reference that measures the commitment of countries to cybersecurity at a global level – to raise awareness of the importance and different dimensions of the issue. As cybersecurity has a broad field of application, cutting across many industries and various sectors, each country's level of development or engagement is assessed along five pillars – (i) Legal Measures, (ii) Technical Measures, (iii) Organizational Measures, (iv) Capacity Development, and (v) Cooperation – and then aggregated into an overall score.​

  19. Chile: global innovation Index score 2011-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Chile: global innovation Index score 2011-2023 [Dataset]. https://www.statista.com/statistics/1053794/chile-global-innovation-index-score/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Chile
    Description

    According to the Global Innovation Index (GII), Chile is the most innovative economy in Latin America and the Caribbean. In 2023, Chile decreased its score by *** and obtained an overall GII score of **** out of 100, ranking in the **** position out of a total of *** countries.

  20. n

    Global Gridded Relative Deprivation Index (GRDI), Version 1

    • earthdata.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +3more
    Updated Nov 4, 2022
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    ESDIS (2022). Global Gridded Relative Deprivation Index (GRDI), Version 1 [Dataset]. http://doi.org/10.7927/3xxe-ap97
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    Dataset updated
    Nov 4, 2022
    Dataset authored and provided by
    ESDIS
    Description

    The Global Gridded Relative Deprivation Index (GRDI), Version 1 (GRDIv1) data set characterizes the relative levels of multidimensional deprivation and poverty in each 30 arc-second (~1 km) pixel, where a value of 100 represents the highest level of deprivation and a value of 0 the lowest. GRDIv1 is built from sociodemographic and satellite data inputs that were spatially harmonized, indexed, and weighted into six main components to produce the final index raster. Inputs were selected from the best-available data that either continuously vary across space or have at least administrative level 1 (provincial/state) resolution, and which have global spatial coverage.

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CUBIG (2025). AI Global Index Dataset [Dataset]. https://cubig.ai/store/products/529/ai-global-index-dataset

AI Global Index Dataset

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Dataset updated
Jun 30, 2025
Dataset authored and provided by
CUBIG
License

https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

Measurement technique
Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
Description

1) Data Introduction • The AI Global Index Dataset is a comprehensive index that benchmarks 62 countries based on the level of AI investment, innovation, and implementation, including seven key indicators (human resources, infrastructure, operational environment, research, development, government strategy, commercialization) and general information by country (region, cluster, income group, political system).

2) Data Utilization (1) AI Global Index Dataset has characteristics that: • This dataset consists of a total of 13 columns with 5 categorical variables (regions, clusters, etc.) and 8 numerical variables (scores for each indicator), covering 62 countries. • The seven key indicators are classified into three pillars: △ implementation (human resources/infrastructure/operational environment) △ innovation (R&D) △ investment (government strategy/commercialization), and assess each country's overall AI ecosystem capabilities in multiple dimensions. (2) AI Global Index Dataset can be used to: • Global AI leadership pattern analysis: Correlation analysis between seven indicators can identify AI strengths and weaknesses by country and perform group comparisons by region and income level. • Machine learning-based predictive model: It can be used for data science education and application, such as country-specific index prediction through regression analysis or classification of AI development types through clustering.

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