100+ datasets found
  1. w

    WDI Database Archives

    • datacatalog.worldbank.org
    databank
    Updated Feb 12, 2015
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    data@worldbank.org (2015). WDI Database Archives [Dataset]. https://datacatalog.worldbank.org/dataset/wdi-database-archives
    Explore at:
    databankAvailable download formats
    Dataset updated
    Feb 12, 2015
    Dataset provided by
    data@worldbank.org
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    BETA. The WDI Database Archives (WDI-DA) contains previous versions of the World Development Indicators database. Data are drawn from all available electronic releases going back to 1989. Metadata for this initial beta release, however, are only available from the latest WDI database. Users should exercise caution when comparing data from different versions, as the same codes have been used to reference series from different base years or different valuations of a country’s local currency. For example, the series code for constant US dollar GDP (NY.GDP.MKTP.KD), which is currently based in 2010, has been used in previous editions when the base year was 1987, 1995, 2000, and 2005. We will be working to improve the usability of the archives by harmonizing codes and names to the extent possible and adding additional metadata.

  2. Doing Business

    • datacatalog.worldbank.org
    api, databank, html +2
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    Doing Business, The World Bank Group (http://www.doingbusiness.org), Doing Business [Dataset]. https://datacatalog.worldbank.org/dataset/doing-business
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    html, databank, api, zip, utf-8Available download formats
    Dataset provided by
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    Valeria Perotti
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    The Doing Business project provides objective measures of business regulations and their enforcement across 190 economies. Economies are ranked on their ease of doing business, from 1–190. The rankings are determined by sorting the aggregate scores (formerly called distance to frontier) on 10 topics, each consisting of several indicators, giving equal weight to each topic. More details: http://www.doingbusiness.org.

    NOTE: Doing Business has been discontinued as of 9/16/2021. Click here for more information.

  3. w

    COVID-19 Finance Sector Related Policy Responses

    • datacatalog.worldbank.org
    excel
    Updated Mar 29, 2020
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    Davide Salvatore Mare (2020). COVID-19 Finance Sector Related Policy Responses [Dataset]. https://datacatalog.worldbank.org/dataset/covid-19-finance-sector-related-policy-responses
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    excelAvailable download formats
    Dataset updated
    Mar 29, 2020
    Dataset provided by
    Davide Salvatore Mare
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    Overview of policy measures taken in jurisdictions and by type of measure in support of the financial sector to address the impact of the COVID-19 pandemic. This dataset is updated regularly and remains work in progress. As such, it may contain errors and omissions.

    Compiled by the Finance, Competitiveness & Innovation Global Practice. For inquiries, please reach out to Erik Feyen (efeijen@worldbank.org) and Davide Mare (dmare@worldbank.org).

    Sources: National authorities; Yale, IIF, IMF, OECD, IADB.

  4. World Bank Official Administrative Boundaries

    • datacatalog.worldbank.org
    csv, excel, utf-8
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    bbonansea@worldbank.org, World Bank Official Administrative Boundaries [Dataset]. https://datacatalog.worldbank.org/search/dataset/0038272/World-Bank-Official-Boundaries
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    utf-8, excel, csvAvailable download formats
    Dataset provided by
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    High resolution, World Bank-approved administrative boundaries. Each download option (shapefile, GeoPackage, or GeoJSON format) includes Admin 0, 1, 2, Non-Determined Legal Status Areas (NDLSA), and an ocean mask. A data dictionary and additional columns of information which can be joined to the Admin 1 and 2 files can be found as separate downloads.

    Also included are API endpoints for interactive maps.

    If Bank staff use this data to create a map- print, web, presentations for an external audience (e.g. external web sites), etc., staff must receive legal clearance by submitting the finished map to the World Bank Cartography Unit.

    To report an error in any of the admin boundary files, please raise a new issue here: https://github.com/worldbank/WB_GAD/issues and it will be considered during the next update cycle.

  5. World Bank: Education Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    World Bank (2019). World Bank: Education Data [Dataset]. https://www.kaggle.com/datasets/theworldbank/world-bank-intl-education
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    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

    Content

    This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

    For more information, see the World Bank website.

    Fork this kernel to get started with this dataset.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

    http://data.worldbank.org/data-catalog/ed-stats

    https://cloud.google.com/bigquery/public-data/world-bank-education

    Citation: The World Bank: Education Statistics

    Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by @till_indeman from Unplash.

    Inspiration

    Of total government spending, what percentage is spent on education?

  6. World Bank activity file for Europe, regional

    • iatiregistry.org
    iati-xml
    Updated Sep 2, 2025
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    The World Bank (2025). World Bank activity file for Europe, regional [Dataset]. https://iatiregistry.org/dataset/worldbank-89
    Explore at:
    iati-xml(307737)Available download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Area covered
    Europe
    Description

    World Bank activity file for Europe, regional

  7. World Bank Gender Data Portal

    • genderopendata.org
    xlsx
    Updated Apr 18, 2022
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    The World Bank (2022). World Bank Gender Data Portal [Dataset]. https://genderopendata.org/dataset/world-bank-gender-data-portal
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    xlsx(24521510)Available download formats
    Dataset updated
    Apr 18, 2022
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    The World Bank
    License

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

    Description

    The World Bank's Gender Data Portal makes the latest gender statistics accessible through compelling narratives and data visualizations to improve the understanding of gender data and facilitate analyses that inform policy choices.

    They include:

    • Population
    • SDGs
    • Children 0-14
    • Youth 15-24
    • Assets
    • Education
    • Employment and Time Use
    • Entrepreneurship
    • Environment
    • Health
    • Leadership
    • Norms and Decision-making
    • Technology
    • Violence
  8. World Bank activity file for North & Central America, regional

    • iatiregistry.org
    iati-xml
    Updated Sep 2, 2025
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    The World Bank (2025). World Bank activity file for North & Central America, regional [Dataset]. https://iatiregistry.org/dataset/worldbank-389
    Explore at:
    iati-xml(1303469)Available download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Area covered
    Central America
    Description

    World Bank activity file for North & Central America, regional

  9. World Bank activity file for TONGA

    • iatiregistry.org
    iati-xml
    Updated Sep 2, 2025
    + more versions
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    The World Bank (2025). World Bank activity file for TONGA [Dataset]. https://iatiregistry.org/dataset/worldbank-to
    Explore at:
    iati-xml(1257473)Available download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Area covered
    Tonga
    Description

    World Bank activity file for TONGA

  10. Czech Republic - Economic, Social, Environmental, Health, Education,...

    • data.humdata.org
    csv
    Updated May 15, 2023
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    World Bank Group (2023). Czech Republic - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.humdata.org/dataset/6cf59973-f2fa-496c-b275-b0eb6c1f1167?force_layout=desktop
    Explore at:
    csv(6634998), csv(8341)Available download formats
    Dataset updated
    May 15, 2023
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

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

    Area covered
    Czechia
    Description
  11. Global Data Regulation Diagnostic Survey Dataset 2021 - Afghanistan, Angola,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Oct 26, 2023
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    World Bank (2023). Global Data Regulation Diagnostic Survey Dataset 2021 - Afghanistan, Angola, Argentina...and 77 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/3866
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    Dataset updated
    Oct 26, 2023
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Authors
    World Bank
    Time period covered
    2020
    Area covered
    Angola, Argentina...and 77 more, Afghanistan
    Description

    Abstract

    The Global Data Regulation Diagnostic provides a comprehensive assessment of the quality of the data governance environment. Diagnostic results show that countries have put in greater effort in adopting enabler regulatory practices than in safeguard regulatory practices. However, for public intent data, enablers for private intent data, safeguards for personal and nonpersonal data, cybersecurity and cybercrime, as well as cross-border data flows. Across all these dimensions, no income group demonstrates advanced regulatory frameworks across all dimensions, indicating significant room for the regulatory development of both enablers and safeguards remains at an intermediate stage: 47 percent of enabler good practices and 41 percent of good safeguard practices are adopted across countries. Under the enabler and safeguard pillars, the diagnostic covers dimensions of e-commerce/e-transactions, enablers further improvement on data governance environment.

    The Global Data Regulation Diagnostic is the first comprehensive assessment of laws and regulations on data governance. It covers enabler and safeguard regulatory practices in 80 countries providing indicators to assess and compare their performance. This Global Data Regulation Diagnostic develops objective and standardized indicators to measure the regulatory environment for the data economy across countries. The indicators aim to serve as a diagnostic tool so countries can assess and compare their performance vis-á-vis other countries. Understanding the gap with global regulatory good practices is a necessary first step for governments when identifying and prioritizing reforms.

    Geographic coverage

    80 countries

    Analysis unit

    Country

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The diagnostic is based on a detailed assessment of domestic laws, regulations, and administrative requirements in 80 countries selected to ensure a balanced coverage across income groups, regions, and different levels of digital technology development. Data are further verified through a detailed desk research of legal texts, reflecting the regulatory status of each country as of June 1, 2020.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The questionnaire comprises 37 questions designed to determine if a country has adopted good regulatory practice on data governance. The responses are then scored and assigned a normative interpretation. Related questions fall into seven clusters so that when the scores are averaged, each cluster provides an overall sense of how it performs in its corresponding regulatory and legal dimensions. These seven dimensions are: (1) E-commerce/e-transaction; (2) Enablers for public intent data; (3) Enablers for private intent data; (4) Safeguards for personal data; (5) Safeguards for nonpersonal data; (6) Cybersecurity and cybercrime; (7) Cross-border data transfers.

    Response rate

    100%

  12. World Bank activity file for Oceania, regional

    • iatiregistry.org
    iati-xml
    Updated Sep 2, 2025
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    The World Bank (2025). World Bank activity file for Oceania, regional [Dataset]. https://iatiregistry.org/dataset/worldbank-889
    Explore at:
    iati-xml(363937)Available download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Description

    World Bank activity file for Oceania, regional

  13. Viet Nam - Aid Effectiveness

    • data.humdata.org
    csv
    Updated Aug 28, 2025
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    World Bank Group (2025). Viet Nam - Aid Effectiveness [Dataset]. https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-viet-nam
    Explore at:
    csv(273772), csv(3321)Available download formats
    Dataset updated
    Aug 28, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

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

    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.

  14. Viet Nam - Public Sector

    • data.humdata.org
    csv
    Updated Aug 28, 2025
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    World Bank Group (2025). Viet Nam - Public Sector [Dataset]. https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-viet-nam
    Explore at:
    csv(173066), csv(2783)Available download formats
    Dataset updated
    Aug 28, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

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

    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    Effective governments improve people's standard of living by ensuring access to essential services – health, education, water and sanitation, electricity, transport – and the opportunity to live and work in peace and security. Data here includes World Bank staff assessments of country performance in economic management, structural policies, policies for social inclusion and equity, and public sector management and institutions for the poorest countries. Also included are indicators on revenues and expenses from the International Monetary Fund's Government Finance Statistics, and on tax policies from various sources.

  15. Marshall Islands - Economic, Social, Environmental, Health, Education,...

    • data.amerigeoss.org
    csv
    Updated Jul 2, 2025
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    UN Humanitarian Data Exchange (2025). Marshall Islands - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.amerigeoss.org/ca/dataset/world-bank-indicators-for-marshall-islands
    Explore at:
    csv(3655588), csv(6349)Available download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Area covered
    Marshall Islands
    Description
  16. World Bank activity file for CAMEROON

    • iatiregistry.org
    iati-xml
    Updated Sep 2, 2025
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    The World Bank (2025). World Bank activity file for CAMEROON [Dataset]. https://iatiregistry.org/dataset/worldbank-cm
    Explore at:
    iati-xml(3338331)Available download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Area covered
    Cameroon
    Description

    World Bank activity file for CAMEROON

  17. British Virgin Islands - Economic, Social, Environmental, Health, Education,...

    • data.amerigeoss.org
    csv
    Updated Jun 4, 2025
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    UN Humanitarian Data Exchange (2025). British Virgin Islands - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.amerigeoss.org/dataset/91f30e8c-1e93-4b1d-9479-a8d4faadabd8
    Explore at:
    csv(7260), csv(2297552)Available download formats
    Dataset updated
    Jun 4, 2025
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Area covered
    British Virgin Islands
    Description
  18. World Bank activity file for GABON

    • iatiregistry.org
    iati-xml
    Updated Sep 2, 2025
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    The World Bank (2025). World Bank activity file for GABON [Dataset]. https://iatiregistry.org/dataset/worldbank-ga
    Explore at:
    iati-xml(733544)Available download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    Area covered
    Gabon
    Description

    World Bank activity file for GABON

  19. Puerto Rico - Financial Sector

    • data.humdata.org
    csv
    Updated Jun 27, 2025
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    World Bank Group (2025). Puerto Rico - Financial Sector [Dataset]. https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-puerto-rico
    Explore at:
    csv(2551), csv(31507)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

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

    Area covered
    Puerto Rico
    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    An economy's financial markets are critical to its overall development. Banking systems and stock markets enhance growth, the main factor in poverty reduction. Strong financial systems provide reliable and accessible information that lowers transaction costs, which in turn bolsters resource allocation and economic growth. Indicators here include the size and liquidity of stock markets; the accessibility, stability, and efficiency of financial systems; and international migration and workers\ remittances, which affect growth and social welfare in both sending and receiving countries.

  20. Global Bilateral Migration Database

    • datacatalog.worldbank.org
    databank
    Updated Jun 22, 2011
    + more versions
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    Global Bilateral Migration Database, World Bank Group and š. ¦zden, C. Parsons, M. Schiff and T. L. Walmsley (2011) 'Where on Earth is Everybody? The Evolution of Global Bilateral Migration, 1960-2000', World Bank Economic Review 25(1):12-56 (2011). Global Bilateral Migration Database [Dataset]. https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database
    Explore at:
    databankAvailable download formats
    Dataset updated
    Jun 22, 2011
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Description

    Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds.For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world™s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.

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data@worldbank.org (2015). WDI Database Archives [Dataset]. https://datacatalog.worldbank.org/dataset/wdi-database-archives

WDI Database Archives

Explore at:
127 scholarly articles cite this dataset (View in Google Scholar)
databankAvailable download formats
Dataset updated
Feb 12, 2015
Dataset provided by
data@worldbank.org
License

https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

Description

BETA. The WDI Database Archives (WDI-DA) contains previous versions of the World Development Indicators database. Data are drawn from all available electronic releases going back to 1989. Metadata for this initial beta release, however, are only available from the latest WDI database. Users should exercise caution when comparing data from different versions, as the same codes have been used to reference series from different base years or different valuations of a country’s local currency. For example, the series code for constant US dollar GDP (NY.GDP.MKTP.KD), which is currently based in 2010, has been used in previous editions when the base year was 1987, 1995, 2000, and 2005. We will be working to improve the usability of the archives by harmonizing codes and names to the extent possible and adding additional metadata.

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