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.

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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?

Abstract

The Country Opinion Survey in Sierra Leone assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Sierra Leone perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Sierra Leone on 1) their views regarding the general environment in Sierra Leone; 2) their overall attitudes toward the WBG in Sierra Leone; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Sierra Leone; and 4) their perceptions of the WBG’s future role in Sierra Leone.

Geographic coverage

• Northern Region
• Southern Region
• Eastern Region
• Western Area
• North-West Region

Analysis unit

Stakeholder

Universe

Opinion leaders from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society.

Kind of data

Sample survey data [ssd]

Sampling procedure

From April to June 2019, 500 stakeholders of the WBG in Sierra Leone were invited to provide their opinions on the WBG’s work in the country by participating in a Country Opinion Survey. Participants were drawn from the Office of the President, Prime Minister; office of a minister; office of a parliamentarian; ministries/ministerial departments/implementation agencies; Project Management Units (PMUs) overseeing implementation of WBG projects; consultants/ contractors working on WBG-supported projects/programs; local governments; bilateral and multilateral agencies; private sector organizations; the financial sector/private banks; private foundations; NGOs and community based organizations; the media; independent government institutions; trade unions; faith-based groups; youth groups; academia/research institutes/think tanks; the judiciary branch; and other organizations.

Mode of data collection

Other [oth]

Research instrument

The questionnaire used to collect the survey data consisted of the following 8 sections:

A. General Issues Facing Sierra Leone B. Overall Attitudes toward the World Bank Group C. World Bank Group's Effectiveness and Results D. The World Bank Group's Knowledge Work and Activities (i.e., analysis studies, research, data, reports, conferences) E. Working with the World Bank Group F. The Future Role of the World Bank Group in Sierra Leone G. Communication and Information Sharing H. Background Information

The questionnaire was prepared in English.

Response rate

79%

Download of Gender statistics CSV file from World Bank, as of September 25th 2019.

Graph and download economic data for Gross Domestic Product Per Capita for Least Developed Countries (NYGDPPCAPCDLDC) from 1960 to 2024 about per capita and GDP.

Graph and download economic data for Percentage of Foreign Banks Among Total Banks for Singapore (DDOI13SGA156NWDB) from 1995 to 2013 about Singapore, foreign, percent, banks, and depository institutions.

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

Water Data. In addition to the data available here and through the Climate Data API, the Climate Change Knowledge Portal has a web interface to a collection of water indicators that may be used to assess the impact of climate change across over 8,000 water basins worldwide. You may use the web interface to download the data for any of these basins.

World Bank has a Poverty and Inequality Platform where country data can be downloaded for Poverty, Inequality and Multi-dimensional Poverty. The link https://pip.worldbank.org/country-profiles will take you to the Country Poverty Profile and from this page you can select any country and choose between one of three the Poverty Lines: $1.9, $3.2 or $5.5 (at 2011 international prices) and that Poverty Profile will be called up. Then you can select the Poverty, Inequality and Multi-dimensional Poverty data that you want to download. The Reporting Years are: 2000, 2008 and 2018.

Abstract

The World Bank has launched a quick-deploying high-frequency phone-monitoring survey of households to generate near real-time insights on the socio-economic impact of COVID-19 on households which hence to be used to support evidence-based response to the crisis. At a moment when all conventional modes of data collection have had to be suspended, a phone-based rapid data collection/tracking tool can generate large payoffs by helping identify affected populations across the vast archipelago as the contagion spreads, identify with a high degree of granularity the mechanisms of socio-economic impact, identify gaps in public policy response as the Government responds, generating insight that could be useful in scaling up or redirecting resources as necessary as the affected population copes and eventually regains economic footing.

Analysis unit

Household-level; Individual-level: household primary breadwinners, respondent, student, primary caregivers, and under-5 years old kids

Sampling procedure

The sampling frame of the Indonesia high-frequency phone-based monitoring of socio-economic impacts of COVID-19 on households was the list of households enumerated in three recent World Bank surveys, namely Urban Survey (US), Rural Poverty Survey (RPS), and Digital Economy Household Survey (DEHS). The US was conducted in 2018 with 3,527 sampled households living in the urban areas of 10 cities and 2 districts in 6 provinces. The RPS was conducted in 2019 with the sample size of 2,404 households living in rural areas of 12 districts in 6 provinces. The DEHS was conducted in 2020 with 3,107 sampled households, of which 2,079 households lived in urban areas and 1,028 households lived in rural areas in 26 districts and 31 cities within 27 provinces. Overall, the sampled households drawn from the three surveys across 40 districts and 35 cities in 27 provinces (out of 34 provinces). For the final sampling frame, six survey areas of the DEHS which were overlapped with the survey areas in the UPS were dropped from the sampling frame. This was done in order to avoid potential bias later on when calculating the weights (detailed below). The UPS was chosen to be kept since it had much larger samples (2,016 households) than that of the DEHS (265 households). Three stages of sampling strategies were applied. For the first stage, districts (as primary sampling unit (PSU)) were selected based on probability proportional to size (PPS) systematic sampling in each stratum, with the probability of selection was proportional to the estimated number of households based on the National Household Survey of Socio-economic (SUSENAS) 2019 data. Prior to the selection, districts were sorted by provincial code.

In the second stage, villages (as secondary sampling unit (SSU)) were selected systematically in each district, with probability of selection was proportional to the estimated number of households based on the Village Potential Census (PODES) 2018 data. Prior to the selection, villages were sorted by sub-district code. In the third stage, the number of households was selected systematically in each selected village. Prior to the selection, all households were sorted by implicit stratification, that is gender and education level of the head of households. If the primary selected households could not be contacted or refused to participate in the survey, these households were replaced by households from the same area where the non-response households were located and with the same gender and level of education of households’ head, in order to maintain the same distribution and representativeness of sampled households as in the initial design.

In the Round 8 survey where we focused on early nutrition knowledge and early child development, we introduced an additional respondent who is the primary caregiver of under 5 years old in the household. We prioritized the mother as the target of caregiver respondents. In households with multiple caregivers, one is randomly selected. Furthermore, only the under 5 children who were taken care of by the selected respondent will be listed in the early child development module.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire in English is provided for download under the Documentation section.

Response rate

The HiFy survey was initially designed as a 5-round panel survey. By end of the fifth round, it is expected that the survey can maintain around 3,000 panel households. Based on the experience of phone-based, panel survey conducted previously in other study in Indonesia, the response rates were expected to be around 60 percent to 80 percent. However, learned from other similar surveys globally, response rates of phone-based survey, moreover phone-based panel survey, are generally below 50 percent. Meanwhile, in the case of the HiFy, information on some of households’ phone numbers was from about 2 years prior the survey with a potential risk that the targeted respondents might not be contactable through that provided numbers (already inactive or the targeted respondents had changed their phone numbers). With these considerations, the estimated response rate of the first survey was set at 60 percent, while the response rates of the following rounds were expected to be 80 percent. Having these assumptions and target, the first round of the survey was expected to target 5,100 households, with 8,500 households in the lists. The actual sample of households in the first round was 4,338 households or 85 percent of the 5,100 target households. However, the response rates in the following rounds are higher than expected, making the sampled households successfully interviewed in Round 2 were 4,119 (95% of Round 1 samples), and in Rounds 3, 4, 5, 6, 7, and 8 were 4,067 (94%), 3,953 (91%), 3,686 (85%), 3,471 (80%), 3,435 (79%), 3,383 (78%) respectively. The number of balanced panel households up to Rounds 3, 4, 5, 6, 7, and 8 are 3,981 (92%), 3,794 (87%), 3,601 (83%), 3,320 (77%), 3,116 (72%), and 2,856 (66%) respectively.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The universe of inference includes all formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination).

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

Graph and download economic data for Constant GDP per capita for Lower Middle Income Countries (NYGDPPCAPKDLMC) from 1960 to 2024 about per capita, income, and GDP.

The goal of the World Bank Group finances website is to make data related to the World Bank Group’s financials available to everybody in a social, interactive, visually compelling, and machine readable format. All the data on the website is available to everybody to slice and dice, visualize, and share with others. You can also download the data in multiple formats or, if you are a developer, connect to it through the APIs associated with all the datasets.

Abstract

The Country Opinion Survey in Jordan assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Jordan perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Jordan on 1) their views regarding the general environment in Jordan; 2) their overall attitudes toward the WBG in Jordan; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Jordan; and 4) their perceptions of the WBG’s future role in Jordan.

Geographic coverage

• Amman Governorate
• Irbid Governorate
• Zarqa Governorate
• Mafraq Governorate
• Ajloun Governorate
• Jerash Governorate
• Madaba Governorate
• Balqa Governorate
• Karak Governorate
• Tafila Governorate
• Ma'an Governorate
• Aqaba Governorate

Sampling procedure

From May to July 2022, 385 stakeholders of the WBG in Jordan were invited to provide their opinions on the WBG’s work in the country by participating in a Country Opinion Survey. Participants were drawn from the Royal Hashemite Court, office of the Prime Minister, office of a Minister, office of a member of Parliament/Legislative body, employees of ministries/ ministerial departments/implementation agencies; Project Management Units (PMUs) overseeing implementation of WBG projects; consultants/ contractors working on WBG-supported projects/programs; local governments; independent government institutions; the judicial system; state-owned enterprises; bilateral and multilateral agencies; private sector organizations; the financial sector/private banks; private foundations; NGOs and community-based organizations; professional/trade associations; faith-based groups; youth groups; academia/research institutes/think tanks; and the media.

Mode of data collection

Data was collected via Internet [int]

Research instrument

The questionnaire was prepared in English and Arabic. The English version of the questionnaire is available for download.

Response rate

The response rate was 38%

Graph and download economic data for Number of Bank Branches for United States (DDAI02USA643NWDB) from 2004 to 2019 about banks, depository institutions, and USA.

Abstract

The Country Opinion Survey in Liberia assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Liberia perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Liberia on 1) their views regarding the general environment in Liberia; 2) their overall attitudes toward the WBG in Liberia; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Liberia; and 4) their perceptions of the WBG’s future role in Liberia.

Geographic coverage

• Montserrado
• Bong
• Margibi
• Nimba
• Grand Bassa
• Bomi
• Lofa
• Grand Cape Mount
• Sinoe

Sampling procedure

From April 2021 to June 2021, 732 stakeholders of the WBG in Liberia were invited to provide their opinions on the WBG’s work in the country by participating in a Country Opinion Survey. Participants were drawn from the Office of the President, Prime Minister; office of a minister; office of a parliamentarian; ministries/ministerial departments/implementation agencies; Project Management Units (PMUs) overseeing implementation of WBG projects; consultants/ contractors working on WBG-supported projects/programs; local governments; independent government institutions; the judicial system; state-owned enterprises; bilateral and multilateral agencies; private sector organizations; the financial sector/private banks; private foundations; NGOs and community based organizations; trade unions; faith-based groups; youth groups; academia/research institutes/think tanks; the media; and other organizations.

Mode of data collection

Other [oth]

Research instrument

The questionnaire was prepared in English and is available for download.

Response rate

The response rate was 83%

This database contains historical temperature and precipitation data aggregated from 2-degree gridded data to the country and basin levels.

Financial Access Survey (FAS) indicators are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.

The Financial Access Survey draws on the IMF's Monetary and Financial Statistics Manual and Compilation Guide (http://data.imf.org/api/document/download?key=61061648)

Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. In addition to the data available here and through the Climate Data API, the Climate Change Knowledge Portal has a web interface to a collection of water indicators that may be used to assess the impact of climate change across over 8,000 water basins worldwide. You may use the web interface to download the data for any of these basins.

Main data file extracted from download of World Bank gender statistics data, sometime soon before 16 September 2017.This dataset, unlike current downloads, has information on health expenditure per capita.

Graph and download economic data for Central government debt, total (% of GDP) for High Income Countries (GCDODTOTLGDZSHIC) from 1990 to 2022 about debt, government, income, and GDP.