The Climate Change Knowledge Portal provides global data on historical and future climate, vulnerabilities, and impacts.
The data on historical temperature and rainfall data included in this compilation comes from the historical CRU dataset. The CRU TS version 4.04 gridded historical dataset is derived from observational data and provides quality-controlled temperature and rainfall values from thousands of weather stations worldwide, as well as derivative products including monthly climatologies and long-term historical climatologies. The dataset is produced by the Climatic Research Unit (CRU) of the University of East Anglia (UEA) CRU-(Gridded Product).
In order to present historical climate conditions, the World Bank Group's Climate Change Knowledge Portal (CCKP) uses the globally available observational datasets derived from CRU to quantify changes in mean annual temperature and mean annual precipitation for the period 1901-2019 per country.
World Bank Enterprise Surveys offer an expansive array of economic data on 180,000 firms in 154 countries. The data is presented in a variety of ways useful to researchers, policy makers, journalists, and others.
Business environment and performance indicators are created by computing weighted averages of businesses’ responses to questions in the Enterprise Survey using sampling weights. Indicators are displayed at the country level but can be viewed by firm subgroups in the original source.
The World Bank’s Prospects Group has constructed a global database of informal economic activity. The database includes up to 196 economies over the period 1990-2018 and includes the twelve most commonly used measures of informal economy.
Remittances Data provides a snapshot of latest statistics on remittance flows for 214 countries and territories. It is calculated by World Bank staff calculation based on data from IMF Balance of Payments Statistics database and data releases from central banks, national statistical agencies, and World Bank country desks. All numbers are in current (nominal) US $ million.
Good governance is essential for development. It helps countries improve economic growth, build human capital, and strengthen social cohesion. The Worldwide Governance Indicators (WGI) are designed to help researchers and analysts assess broad patterns in perceptions of governance across countries and over time.
The WGI aggregate data from more than 30 think tanks, international organizations, nongovernmental organizations, and private firms across the world selected on the basis of three key criteria:
1) they are produced by credible organizations;
2) they provide comparable cross-country data; and
3) they are regularly updated.
The data reflect the diverse views on governance of many stakeholders worldwide, including tens of thousands of survey respondents and experts.
The WGI feature six aggregate governance indicators for over 200 countries and territories over the period 1996 - 2022:
The WGI were developed in 1999 by two World Bank researchers, Daniel Kaufmann and Aart Kraay. The data are updated annually each September. For questions about the WGI data please contact Aart Kraay.
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
This is an adaptation of an original work by The World Bank. Views and opinions expressed in the adaptation are the sole responsibility of the author or authors of the adaptation and are not endorsed by The World Bank.
The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.
The WWBI includes 302 indicators that are estimated from microdata drawn from the labor force and household welfare surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill.
The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.
Please keep in mind that, for the purposes of the QoG compilations, we have taken a subset of the indicators. Please find all of the indicators of this dataset in its original URL: https://datacatalog.worldbank.org/search/dataset/0038132