100+ datasets found
  1. World Bank GDP ranking

    • kaggle.com
    Updated May 16, 2019
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    World Bank (2019). World Bank GDP ranking [Dataset]. https://www.kaggle.com/theworldbank/world-bank-gdp-ranking/discussion
    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
    Kagglehttp://kaggle.com/
    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.

  2. IEG World Bank Project Performance Ratings

    • data.wu.ac.at
    • financesone.worldbank.org
    csv, json, xml
    Updated Jan 22, 2015
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    World Bank Group (2015). IEG World Bank Project Performance Ratings [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/cnE5ZC1wY3Rm
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Jan 22, 2015
    Dataset provided by
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset contains all World Bank project assessments carried out by the Independent Evaluation Group (IEG) since the unit was created back in the 70’s. Spanning over 30 years, the collection has more than 11,300 project assessments, covering more than 9,600 completed projects; it is perhaps the longest-running and most comprehensive project performance data collection of its kind. Learn more at http://ieg.worldbankgroup.org/ratings .

  3. G

    GDP per capita, PPP in High income countries (World Bank classification) |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 2, 2021
    + more versions
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    Globalen LLC (2021). GDP per capita, PPP in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_per_capita_ppp/WB-high/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Feb 2, 2021
    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, 1990 - Dec 31, 2024
    Area covered
    World
    Description

    The average for 2024 based on 58 countries was 58042 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Barbados: 19946 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

  4. World Bank GNI Ranking, Atlas method and PPP based

    • kaggle.com
    Updated May 16, 2019
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    World Bank (2019). World Bank GNI Ranking, Atlas method and PPP based [Dataset]. https://www.kaggle.com/theworldbank/world-bank-gni-ranking,-atlas-method-and-ppp-based/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
    Kagglehttp://kaggle.com/
    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 Daniel Corneschi on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  5. k

    Population Ranking

    • datasource.kapsarc.org
    Updated Jul 25, 2025
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    (2025). Population Ranking [Dataset]. https://datasource.kapsarc.org/explore/dataset/worldbank-population/
    Explore at:
    Dataset updated
    Jul 25, 2025
    License

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

    Description

    Explore the World Bank Population dataset to access rankings and insights on global population statistics. Click here for extensive data on various countries.

    Rankings

    Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, San Marino, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkmenistan, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, ZimbabweFollow data.kapsarc.org for timely data to advance energy economics research..

  6. G

    Percent of world GDP in High income countries (World Bank classification) |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 20, 2021
    + more versions
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    Globalen LLC (2021). Percent of world GDP in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_share/WB-high/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 20, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1980 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 64 countries was 0.97 percent. The highest value was in the USA: 26.3 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

  7. G

    Greece GR: Ease of Doing Business Index: 1=Most Business-friendly...

    • ceicdata.com
    Updated Nov 25, 2011
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    CEICdata.com (2011). Greece GR: Ease of Doing Business Index: 1=Most Business-friendly Regulations [Dataset]. https://www.ceicdata.com/en/greece/business-environment/gr-ease-of-doing-business-index-1most-businessfriendly-regulations
    Explore at:
    Dataset updated
    Nov 25, 2011
    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, 2017
    Area covered
    Greece
    Variables measured
    Business Climate Survey
    Description

    Greece GR: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 67.000 NA in 2017. Greece GR: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 67.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Greece GR: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

  8. T

    Ease of Doing Business in Kazakhstan

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 8, 2017
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    TRADING ECONOMICS (2017). Ease of Doing Business in Kazakhstan [Dataset]. https://tradingeconomics.com/kazakhstan/ease-of-doing-business
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Feb 8, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2008 - Dec 31, 2019
    Area covered
    Kazakhstan
    Description

    Kazakhstan is ranked 25 among 190 economies in the ease of doing business, according to the latest World Bank annual ratings. The rank of Kazakhstan improved to 25 in 2019 from 28 in 2018. This dataset includes a chart with historical data for Ease of Doing Business in Kazakhstan.

  9. G

    Happiness index in High income countries (World Bank classification) |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 29, 2021
    + more versions
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    Globalen LLC (2021). Happiness index in High income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/happiness/WB-high/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Jan 29, 2021
    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, 2013 - Dec 31, 2024
    Area covered
    World
    Description

    The average for 2024 based on 48 countries was 6.62 points. The highest value was in Finland: 7.74 points and the lowest value was in Hong Kong: 5.32 points. The indicator is available from 2013 to 2024. Below is a chart for all countries where data are available.

  10. Z

    Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly...

    • ceicdata.com
    Updated Jun 30, 2021
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    CEICdata.com (2021). Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations [Dataset]. https://www.ceicdata.com/en/zimbabwe/business-environment/zw-ease-of-doing-business-index-1most-businessfriendly-regulations
    Explore at:
    Dataset updated
    Jun 30, 2021
    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, 2017
    Area covered
    Zimbabwe
    Description

    Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 159.000 NA in 2017. Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 159.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

  11. w

    Global Financial Inclusion (Global Findex) Database 2017 - United States

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 31, 2018
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2018). Global Financial Inclusion (Global Findex) Database 2017 - United States [Dataset]. https://microdata.worldbank.org/index.php/catalog/3238
    Explore at:
    Dataset updated
    Oct 31, 2018
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    United States
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world's population (see Table A.1 of the Global Findex Database 2017 Report). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.\

    The sample size was 1005.

    Mode of data collection

    Other [oth]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  12. G

    Roads quality in Low income countries (World Bank classification) |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 1, 2021
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    Globalen LLC (2021). Roads quality in Low income countries (World Bank classification) | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/roads_quality/WB-low/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Feb 1, 2021
    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, 2006 - Dec 31, 2019
    Area covered
    World
    Description

    The average for 2019 based on 16 countries was 3.04 points. The highest value was in Rwanda: 4.8 points and the lowest value was in Chad: 1.9 points. The indicator is available from 2006 to 2019. Below is a chart for all countries where data are available.

  13. WorldBank - Population

    • data.wu.ac.at
    csv, json, xls
    Updated Feb 22, 2016
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    The World Bank (2016). WorldBank - Population [Dataset]. https://data.wu.ac.at/schema/data_opendatasoft_com/d29ybGRiYW5rLXBvcHVsYXRpb25AcHVibGljLXVz
    Explore at:
    json, csv, xlsAvailable download formats
    Dataset updated
    Feb 22, 2016
    Dataset provided by
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    License

    http://data.worldbank.org/summary-terms-of-usehttp://data.worldbank.org/summary-terms-of-use

    Description

    Population ranking table.

  14. Manufacturing Value Added - Source World Bank

    • nationmaster.com
    Updated Mar 20, 2021
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    NationMaster (2021). Manufacturing Value Added - Source World Bank [Dataset]. https://www.nationmaster.com/nmx/ranking/manufacturing-value-added-world-bank
    Explore at:
    Dataset updated
    Mar 20, 2021
    Dataset authored and provided by
    NationMaster
    License

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

    Time period covered
    1960 - 2019
    Area covered
    Democratic Republic of the Congo, Philippines, Singapore, Costa Rica, Uzbekistan, Peru, Paraguay, Republic of the Congo, Hungary, Palestine
    Description

    United States increased 0.3% of Manufacturing Value Added in 2019, compared to the previous year.

  15. k

    Knowledge Economy Index (World Bank)

    • datasource.kapsarc.org
    csv, excel, json
    Updated Dec 20, 2016
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    (2016). Knowledge Economy Index (World Bank) [Dataset]. https://datasource.kapsarc.org/explore/dataset/knowledge-economy-index-world-bank-2012/
    Explore at:
    excel, json, csvAvailable download formats
    Dataset updated
    Dec 20, 2016
    Description

    The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.

  16. IBRD Top 8 countries voting power

    • financesone.worldbank.org
    Updated Aug 12, 2025
    + more versions
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    World Bank Group (2025). IBRD Top 8 countries voting power [Dataset]. https://financesone.worldbank.org/ibrd-top-8-countries-voting-power/DS01463
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    Dataset updated
    Aug 12, 2025
    Dataset provided by
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    Authors
    World Bank Group
    License

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

    Description

    Member countries are allocated votes at the time of membership and subsequently for additional subscriptions to capital. Votes are allocated differently in each organization. Each member receives votes consisting of share votes (one vote for each share of the Bank's capital stock held by the member) plus basic votes (calculated so that the sum of all basic votes is equal to 5.55 percent of the sum of basic votes and share votes for all members). Latest information about voting power is available at http://www.worldbank.org/en/about/leadership/votingpowers

  17. T

    Ease of Doing Business in Guyana

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Ease of Doing Business in Guyana [Dataset]. https://tradingeconomics.com/guyana/ease-of-doing-business
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 2008 - Dec 31, 2019
    Area covered
    Guyana
    Description

    Guyana is ranked 134 among 190 economies in the ease of doing business, according to the latest World Bank annual ratings. The rank of Guyana remained unchanged at 134 in 2019 from 134 in 2018. This dataset includes a chart with historical data for Ease of Doing Business in Guyana.

  18. f

    Unbiased per capita GDP and ranking (2021)

    • figshare.com
    xlsx
    Updated Feb 25, 2023
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    Liang Zhao (2023). Unbiased per capita GDP and ranking (2021) [Dataset]. http://doi.org/10.6084/m9.figshare.22144841.v3
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    xlsxAvailable download formats
    Dataset updated
    Feb 25, 2023
    Dataset provided by
    figshare
    Authors
    Liang Zhao
    License

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

    Description

    This is the dataset for 2021 world biased/unbiased per capita GDP including ranking. The original data (country, code, population, GDP) was downloaded from the World Bank with date 12/22/2022.

  19. India rankings across World Bank on ease of doing business index AY 2018 by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). India rankings across World Bank on ease of doing business index AY 2018 by parameter [Dataset]. https://www.statista.com/statistics/881159/india-rankings-across-world-bank-parameters-for-ease-of-doing-business-index-by-parameter/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic illustrates the rankings of India across World Bank parameters on ease of doing business index in assessment year 2018, by parameter. During the measured time period, India was ranked ****** regarding the protection of minority investors by the World Bank.

  20. O

    Oman OM: Ease of Doing Business Index: 1=Most Business-friendly Regulations

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Oman OM: Ease of Doing Business Index: 1=Most Business-friendly Regulations [Dataset]. https://www.ceicdata.com/en/oman/business-environment/om-ease-of-doing-business-index-1most-businessfriendly-regulations
    Explore at:
    Dataset updated
    Jan 15, 2025
    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, 2017
    Area covered
    Oman
    Variables measured
    Business Climate Survey
    Description

    Oman OM: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 71.000 NA in 2017. Oman OM: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 71.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Oman OM: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Oman – Table OM.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

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World Bank (2019). World Bank GDP ranking [Dataset]. https://www.kaggle.com/theworldbank/world-bank-gdp-ranking/discussion
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World Bank GDP ranking

From World Bank Open Data

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160 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 16, 2019
Dataset provided by
Kagglehttp://kaggle.com/
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.

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