100+ datasets found
  1. 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
    Explore at:
    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    Time period covered
    2020
    Area covered
    Afghanistan, Argentina...and 77 more, Angola
    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%

  2. w

    World Development Indicators (WDI)

    • data360.worldbank.org
    Updated Apr 18, 2025
    + more versions
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    (2025). World Development Indicators (WDI) [Dataset]. https://data360.worldbank.org/en/dataset/WB_WDI
    Explore at:
    Dataset updated
    Apr 18, 2025
    License

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

    Time period covered
    1960 - 2023
    Description

    The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

    For further details, please refer to https://datatopics.worldbank.org/world-development-indicators/

  3. 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
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    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?

  4. u

    The World Bank, DataBank, Grenada

    • rciims.mona.uwi.edu
    Updated Dec 2, 2020
    + more versions
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    (2020). The World Bank, DataBank, Grenada [Dataset]. https://rciims.mona.uwi.edu/dataset/wb-data-bank-grenada
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    Dataset updated
    Dec 2, 2020
    Area covered
    Grenada
    Description

    Databank (databank.worldbank.org) is an online web resource that provides simple and quick access to collections of time series data. It has advanced functions for selecting and displaying data, performing customized queries, downloading data, and creating charts and maps. Users can create dynamic custom reports based on their selection of countries, indicators and years. They offer a growing range of free, easy-to-access tools, research and knowledge to help people address the world's development challenges. For example, the Open Data website offers free access to comprehensive, downloadable indicators about development in countries around the globe.

  5. 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 Bankhttp://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
  6. Switzerland - Economic, Social, Environmental, Health, Education,...

    • data.humdata.org
    • data.amerigeoss.org
    csv
    Updated Jun 27, 2025
    + more versions
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    World Bank Group (2025). Switzerland - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.humdata.org/dataset/df1731fd-979e-421e-97ad-508c9b5e2a73?force_layout=desktop
    Explore at:
    csv(8073204), csv(8508)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Switzerland
    Description
  7. w

    Education Statistics

    • data360.worldbank.org
    • data.opendata.am
    Updated Apr 18, 2025
    + more versions
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    (2025). Education Statistics [Dataset]. https://data360.worldbank.org/en/dataset/WB_EDSTATS
    Explore at:
    Dataset updated
    Apr 18, 2025
    License

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

    Time period covered
    1970 - 2023
    Description

    The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education. The query also holds learning outcome data from international and regional learning assessments (e.g. PISA, TIMSS, PIRLS), equity data from household surveys, and projection/attainment data to 2050. For further information, please visit the EdStats website.

    For further details, please refer to https://datatopics.worldbank.org/education/wRsc/about

  8. World Bank: International Debt Data

    • kaggle.com
    zip
    Updated Mar 20, 2019
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    World Bank (2019). World Bank: International Debt Data [Dataset]. https://www.kaggle.com/theworldbank/world-bank-intl-debt
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    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 contains both national and regional debt statistics captured by over 200 economic indicators. Time series data is available for those indicators from 1970 to 2015 for reporting countries.

    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_intl_debt

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

    Citation: The World Bank: International Debt 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

    What countries have the largest outstanding debt?

    https://cloud.google.com/bigquery/images/outstanding-debt.png" alt="enter image description here"> https://cloud.google.com/bigquery/images/outstanding-debt.png

  9. World Bank Millennium Development Goals

    • kaggle.com
    Updated May 16, 2019
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    World Bank (2019). World Bank Millennium Development Goals [Dataset]. https://www.kaggle.com/theworldbank/world-bank-millennium-development-goals/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 16, 2019
    Dataset provided by
    Kaggle
    Authors
    World Bank
    License

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

    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using the World Bank's APIs and Kaggle's API.

    Cover photo by İrfan Simsar on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  10. Barbados - Education

    • data.humdata.org
    csv
    Updated Jun 27, 2025
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    World Bank Group (2025). Barbados - Education [Dataset]. https://data.humdata.org/dataset/world-bank-education-indicators-for-barbados
    Explore at:
    csv(1429481), csv(1433)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Barbados
    Description

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

    Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.

  11. World Bank Procurement Notices

    • datasearch.gesis.org
    • datacatalog1.worldbank.org
    Updated Feb 25, 2020
    + more versions
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    World Bank Products and Services, World Bank Group (2020). World Bank Procurement Notices [Dataset]. https://datasearch.gesis.org/dataset/api_worldbank_org_v2_datacatalog-161
    Explore at:
    Dataset updated
    Feb 25, 2020
    Dataset provided by
    World Bankhttp://worldbank.org/
    Authors
    World Bank Products and Services, World Bank Group
    Description

    This dataset includes procurement tender notices for World Bank Group financed projects. Learn more about the World Bank Group's operations in procurement at http://go.worldbank.org/9KQZWXNOI0.

  12. World Bank Trust Funds activity file for tf073485

    • iatiregistry.org
    iati-xml
    Updated Apr 26, 2025
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    World Bank Trust Funds (2025). World Bank Trust Funds activity file for tf073485 [Dataset]. https://iatiregistry.org/dataset/wbtf-tf073485
    Explore at:
    iati-xml(4437)Available download formats
    Dataset updated
    Apr 26, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    Description

    World Bank Trust Funds activity file for tf073485

  13. World Population Dataset - World Bank

    • kaggle.com
    Updated Oct 19, 2024
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    Aung M. Myat (2024). World Population Dataset - World Bank [Dataset]. https://www.kaggle.com/datasets/aungdev/world-population-dataset-world-bank/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aung M. Myat
    Area covered
    World
    Description

    Population of countries (1960 to 2023) dataset from World Bank.

    Source: https://data.worldbank.org/indicator/SP.POP.TOTL

    License: https://data.worldbank.org/indicator/SP.POP.TOTL

  14. GovData360

    • kaggle.com
    zip
    Updated May 15, 2019
    + more versions
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    World Bank (2019). GovData360 [Dataset]. https://www.kaggle.com/theworldbank/govdata360
    Explore at:
    zip(29922056 bytes)Available download formats
    Dataset updated
    May 15, 2019
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    License

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

    Description

    Content

    GovData360 is a compendium of the most important governance indicators, from 26 datasets with worldwide coverage and more than 10 years of info, designed to provide guidance on the design of reforms and the monitoring of impacts. We have an Unbalanced Panel Data by Dataset - Country for around 3260 governance focused indicators.

    Context

    This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using the World Bank's APIs and Kaggle's API.

    Cover photo by John Jason on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  15. Chad - Private Sector

    • data.humdata.org
    csv
    Updated Jun 27, 2025
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    World Bank Group (2025). Chad - Private Sector [Dataset]. https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-chad
    Explore at:
    csv(389), csv(328435)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    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.

    Private markets drive economic growth, tapping initiative and investment to create productive jobs and raise incomes. Trade is also a driver of economic growth as it integrates developing countries into the world economy and generates benefits for their people. Data on the private sector and trade are from the World Bank Group's Private Participation in Infrastructure Project Database, Enterprise Surveys, and Doing Business Indicators, as well as from the International Monetary Fund's Balance of Payments database and International Financial Statistics, the UN Commission on Trade and Development, the World Trade Organization, and various other sources.

  16. Ukraine - Economic, Social, Environmental, Health, Education, Development...

    • data.humdata.org
    • data.amerigeoss.org
    csv
    Updated Jun 27, 2025
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    World Bank Group (2025). Ukraine - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.humdata.org/dataset/6bc3fff6-abd5-4b5f-adea-93858a682be6?force_layout=desktop
    Explore at:
    csv(7943), csv(7476840)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Ukraine
    Description
  17. World Bank Country and Lending Groups

    • kaggle.com
    Updated Nov 17, 2019
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    Tania J (2019). World Bank Country and Lending Groups [Dataset]. https://www.kaggle.com/taniaj/world-bank-country-and-lending-groups/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 17, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Tania J
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Description

    Context

    This dataset was uploaded as supplemental data for the 2019 Kaggle ML & DS Survey. It allows classification of countries into income groups - low, lower-middle, upper-middle and high - by gross national income (GNI) per capita, in U.S. dollars,.

    For details of this calculation see here and here.

    Content

    The csv file consists of 218 countries listed by name and country code and their corresponding income group and lending category.

    Acknowledgements

    Thanks to the World Bank for providing the data at "https://datahelpdesk.worldbank.org/knowledgebase/articles/906519">https://datahelpdesk.worldbank.org/knowledgebase/articles/906519

    Inspiration

    This dataset allows any other data containing country names or codes to be supplemented with income group data.

  18. w

    Income Distribution Database

    • data360.worldbank.org
    Updated Apr 18, 2025
    + more versions
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    (2025). Income Distribution Database [Dataset]. https://data360.worldbank.org/en/dataset/OECD_IDD
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    Dataset updated
    Apr 18, 2025
    Time period covered
    1974 - 2023
    Description

    The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

    Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

    Small changes in estimates between years should be treated with caution as they may not be statistically significant.

    Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

  19. Micronesia, Fed. Sts. - Economic, Social, Environmental, Health, Education,...

    • data.amerigeoss.org
    csv
    Updated Jul 1, 2025
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    UN Humanitarian Data Exchange (2025). Micronesia, Fed. Sts. - Economic, Social, Environmental, Health, Education, Development and Energy [Dataset]. https://data.amerigeoss.org/el/dataset/world-bank-indicators-for-micronesia-fed-sts
    Explore at:
    csv(3930540), csv(6656)Available download formats
    Dataset updated
    Jul 1, 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
    Micronesia, Micronesia
    Description
  20. World Bank Trust Funds activity file for tf072496

    • iatiregistry.org
    iati-xml
    Updated Apr 26, 2025
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    World Bank Trust Funds (2025). World Bank Trust Funds activity file for tf072496 [Dataset]. https://iatiregistry.org/dataset/wbtf-tf072496
    Explore at:
    iati-xml(117140)Available download formats
    Dataset updated
    Apr 26, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    Description

    World Bank Trust Funds activity file for tf072496

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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
Organization logo

Global Data Regulation Diagnostic Survey Dataset 2021 - Afghanistan, Angola, Argentina...and 77 more

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 26, 2023
Dataset authored and provided by
World Bankhttp://worldbank.org/
Time period covered
2020
Area covered
Afghanistan, Argentina...and 77 more, Angola
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%

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