World Bank

Note: No further updates planned by source Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.

Climate Change Knowledge Portal, Temperature and Rainfall: Historical Data (CRU Observed)

The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI)

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   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.

1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: 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.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.

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.  The dataset help us to know 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.

GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.

Data cited at: "BOOST Public Expenditure Database, World Bank Group" Note: Commercial use of the data is prohibited. Guatemala: Boost Public Expenditure Database

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

This dataset presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).

Data cited at: The World Bank http://financesapp.worldbank.org/en/ Topic: IBRD Statement Of Loans - Historical Data Publication: https://finances.worldbank.org/Loans-and-Credits/IBRD-Statement-Of-Loans-Historical-Data/zucq-nrc3/data License: https://creativecommons.org/licenses/by/3.0/igo/   The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are offered at market rates and are guaranteed by member countries. IBRD may also make loans to IFC. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the Statement of Loans including the latest available snapshots. Region: World Bank Region to which the country and loan belong. Country lending is grouped into regions based on the current World Bank administrative (rather than geographic) region where project implementation takes place. The “Other”” Region is used for loans to the IFC. Country Code: Country Code according to the World Bank country list. This might be different from the ISO country code Country: Country to which a loan has been issued. Loans to the IFC are included under the country “World” Borrower: The representative of the borrower to which the Bank loan is made. Guarantor Country Code: Country Code of the Guarantor according to the World Bank country list. This might be different from the ISO country code. Guarantor: The Guarantor guarantees repayment to the Bank if the borrower does not repay Loan Type: A type of loan/loan instrument for which distinctive accounting and/or other actions need to be performed. Loan Type Descriptions:B Loan –Co-financing lending product that includes Contingency and Regular loans and guaranteesPool loan- Currency Pooled LoansFSL - Fixed Spread Loans (includes both fixed spread loans and IBRD flexible loans that have either fixed spread or variable spread terms)IFC loan – single currency loans to the IFCNon Pool - Original IBRD lending product, prior to currency pooled loans.Sngl crncy - - Single Currency LoansSCP USD - Single Currency Pooled Loans – USDSCP - DEM - Single Currency Pooled Loans – EURSCP JPY - Single Currency Pooled Loans – JPY Loan Status:APPROVED - Loan has been approved by the BankSIGNED - Loan has been signed by both partiesEFFECTIVE - Loan has been made effective in accordance with the terms of the legal agreementDISBURSING - Loan is disbursingDISBURSED - Loan has no undisbursed balanceREPAID - Loan has been fully repaidCANCELLED - Entire loan principal has been cancelledTERMINATED - Unsigned loan that has been cancelled in full Interest Rate: Current Interest rate or service charge applied to loan. For loans that could have more than one interest rate (e.g. FSL or SCL fixed rate loans), the interest rate is shown as “0” Currency of Commitment: The currency in which a borrower’s loan, credit or grant is denominated. Original Principal Amount: The original US dollar amount of the loan that is committed and approved Cancelled Amount: The portion of the undisbursed balance which has been cancelled (i.e. no longer available for future disbursement). Cancellations include terminations (where approved loan agreements were never signed). Undisbursed Amount: The amount of a loan commitment that is still available to be drawn down. These currency amounts have been converted to US dollars at the exchange rates applicable at the end of period date. Disbursed Amount: The amount that has been disbursed from a loan commitment in equivalent US dollars, calculated at the exchange rate on the value date of the individual disbursements. Repaid to IBRD: Total principal amounts paid or prepaid to IBRD in US dollars, calculated at the exchange rate on the value date of the individual repayments. Due to IBRD: Where the exchange adjustment is shown separately, this is the amount disbursed and outstanding expressed as a stock of debt in historical US Dollars. Where the exchange adjustment is not shown separately, this is the amount due and outstanding as of the End of Period date. Exchange Adjustment: The increase (decrease) in value of disbursed and outstanding amount due to exchange rate fluctuations. This amount added to “Due to IBRD” yields “Borrower’s Obligation”; includes exchange adjustments on the amounts Due to 3rd parties. Borrower's Obligation: The Borrower Obligation is the outstanding balance for the loan as of the end of period date in US dollars equivalent. The Borrower's Obligation includes the amounts outstanding Due to 3rd parties. Sold 3rd Party: Portion of loan sold to a third party, Repaid 3rd Party: Amount repaid to a third party, Due 3rd Party: Amount due to a third party Loans Held: The sum of the disbursed and outstanding amounts (net of repayments, i.e. Due to IBRD/IDA) plus undisbursed available amounts. First Repayment Date: The date on which principal repayment starts. Last Repayment Date: The date specified in the loan/credit agreement (amended for any partial prepayments) on which the last principal installment must be repaid by the Borrower. Agreement Signing Date: The date the borrower and the Bank sign the loan agreement. Board Approval Date: The date the World Bank approves the loan. Effective Date: The date on which a legal agreement becomes effective, or is expected to become effective Close Date: The date specified in the legal agreement (or extension) after which the Bank may, by notice to the borrower, terminate the right to make withdrawals from the loan account. Last Disbursement Date: The date on which the last disbursement was made (prior to the end of period date). End of Period: End of Period Date represents the date as of which balances are shown in the report. Loan Number: For IBRD loans and IDA credits or grants a loan number consists of the organization prefix (IBRD/IDA) and a five-character label that uniquely identifies the loan within the organization. In IDA, all grant labels start with the letter ‘H’. Project ID: A Bank project is referenced by a project ID (Pxxxxxxx). More than one loan, credit, or grant may be associated with one Project ID.

Data cited at: The World Bank http://financesapp.worldbank.org/en/ Topic: IBRD Statement of Loans - Latest Available Snapshot Publication: https://finances.worldbank.org/Loans-and-Credits/IBRD-Statement-of-Loans-Latest-Available-Snapshot/sfv5-tf7p License: https://creativecommons.org/licenses/by/3.0/igo/The International Bank for Reconstruction and Development (IBRD) is a debt repaturer of the World Bank Group.IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD can also make loans to IFC. IBRD reads at market rates. Data are in US dollars calculated using historical rates.This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.Interest Rate: Current Interest rate or service charge applied to loan. For example, the interest rate is shown as "0" for FSL or SCL fixed rate loans.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: IDA Results Measurement System Publication: https://datacatalog.worldbank.org/dataset/ida-results-measurement-system License: http://creativecommons.org/licenses/by/4.0/   The IDA Results Measurement System dataset measures progress on aggregate outcomes for IDA countries for selected indicators. It includes key country outcome indicators covering areas that are consistent with the Millennium Development Goals, are priorities in many national development plans and/or poverty reduction strategies, and reflect IDA's activities in IDA countries. The indicators capture both the economic growth and the human development priorities of ongoing IDA programs.

Data cited at:  The World Bank http://financesapp.worldbank.org/en/ Topic:  IDA Statement of Credits and Grants - Latest Available Snapshot Publication:  https://finances.worldbank.org/Loans-and-Credits/IDA-Statement-of-Credits-and-Grants-Latest-Availab/ebmi-69yj/data License:  https://creativecommons.org/licenses/by/3.0/igo/  TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

This database underpins the analysis in the report “More Power to India: The Challenge of Electricity Distribution”. The database is a collection of primary and secondary data on the Indian power sector, collected at the utility and state levels. It covers 87 power utilities and 29 states and spreads over the years 2003 to 2011 across dimensions such as operational and financial performance, market structure, implementation of reforms and corporate and regulatory governance.

Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: International Debt Statistics Publication: https://datacatalog.worldbank.org/dataset/international-debt-statistics License: http://creativecommons.org/licenses/by/4.0/   Focuses on financial flows, trends in external debt, and other major financial indicators for low- and middle-income countries. Includes over 200 time series indicators from 1970 to 2016, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12

Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.

The Joint External Debt Hub (JEDH) -jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB) -brings together external debt data and selected foreign assets from international creditor / market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.

The Private Participation in Infrastructure Projects Database is a product of the World Bank’s Public Private Partnership Group. Its purpose is to identify and disseminate information on private participation in infrastructure projects in low- and middle-income countries. The database highlights the contractual arrangements used to attract private investment, the sources and destination of investment flows, and information on the main investors. By providing critical data and analysis to government policy-makers, consumer representatives, the donor community, and other stakeholders, the database contributes to the public debate on the private provision of infrastructure. The site currently provides information on more than 6,400 infrastructure projects dating from 1984 to H1 2016 and is updated with last year’s data six months after year-end. It contains over 50 fields per project record, including country, financial closure year, infrastructure services provided, type of private participation, technology, capacity, project location, private sponsors, private debt providers and development bank support. The database represents the best efforts of a research team to compile publicly available information on those projects, and should not be seen as a fully comprehensive resource. Some projects — particularly those involving local and small scale operators — tend to be omitted because they are usually not reported by major news sources, databases, government websites, and other sources used the PPI Projects database.

Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly External Debt Statistics SDDS Publication: https://datacatalog.worldbank.org/dataset/quarterly-external-debt-statistics-sdds License: http://creativecommons.org/licenses/by/4.0/   In October 2014, the World Bank launched the new Quarterly External Debt Statistics (QEDS) SDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS SDDS database provides detailed external debt data starting from 1998Q1. Data are published individually by countries that subscribe to the IMF’s Special Data Dissemination Standard (SDDS), as well as, GDDS participating countries that are in a position to produce the external debt data prescribed by the SDDS.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly Public Sector Debt Publication: https://datacatalog.worldbank.org/dataset/quarterly-public-sector-debt License: http://creativecommons.org/licenses/by/4.0/   Quarterly Public Sector Debt (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected countries. The QPSD database includes country and cross-country tables, and specific public debt components. The data represent the following sectors on an as-available basis: General government; otherwise Central government; otherwise Budgetary central government; Non Financial public corporations and Financial public corporations and a table presenting the total public sector debt.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Remittance Prices Worldwide Publication: https://datacatalog.worldbank.org/dataset/remittance-prices-worldwide License: http://creativecommons.org/licenses/by/4.0/   Provides data on the cost of sending and receiving relatively small amounts of money from one country to another. Data cover 365 "country corridors" worldwide, from 48 remittance sending countries to 105 receiving countries.

Global growth is projected to slow to its third-weakest pace in nearly three decades, overshadowed only by the 2009 and 2020 global recessions. Investment growth in emerging market and developing economies is predicted to remain below its average rate of the past two decades. In his Foreword, World Bank Group President David Malpass emphasizes that the crisis facing development is intensifying. The latest growth forecasts indicate a sharp, long-lasting slowdown and the deterioration is broad-based: in virually all regions of the world, per-captia income growth will be slower than it was during the decade before Covid-19.

Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Open Financial Data Demand Nano-Survey Responses Publication: https://datacatalog.worldbank.org/dataset/open-financial-data-demand-nano-survey-responses License: http://creativecommons.org/licenses/by/4.0/   This dataset contains raw response data to a nano-survey that was conducted in Indonesia and Kenya on the demand for open financial data. You can read more about the project here: (http://bit.ly/OpenDemand). A nano-survey is an innovative technology that extends a brief survey to a random sampling of internet users. Note: "NA" indicates "No Answer."

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Sustainable Energy For All Publication: https://datacatalog.worldbank.org/dataset/sustainable-energy-all License: http://creativecommons.org/licenses/by/4.0/   The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.

The Worldwide Governance Indicators (WGI) project reports aggregate and individual governance indicators for over 200 countries and territories over the period 1996–2020, for six dimensions of governance:Voice and AccountabilityPolitical Stability and Absence of ViolenceGovernment EffectivenessRegulatory QualityRule of LawControl of Corruption The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources. Measure description: Estimate:-Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance) Standard error (StdErr):-Standard error reflects variability around the point estimate of governance. Number of sources (NumSrc):-Number of data sources on which estimate is based Rank:-Percentile rank among all countries (ranges from 0 (lowest) to 100 (highest) rank) Lower:-Lower bound of 90% confidence interval for governance, in percentile rank terms Upper:-Upper bound of 90% confidence interval for governance, in percentile rank terms