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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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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.
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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.
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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.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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
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.
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.
Of total government spending, what percentage is spent on education?
World Bank activity file for Europe, regional
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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:
World Bank activity file for North & Central America, regional
World Bank activity file for TONGA
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.
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.
80 countries
Country
Observation data/ratings [obs]
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.
Mail Questionnaire [mail]
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.
100%
World Bank activity file for Oceania, regional
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.
World Bank activity file for CAMEROON
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Private Sector, Public Sector, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.
World Bank activity file for GABON
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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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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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.