Updated
18 June 2021
| Dataset date: February 07, 2021-June 19, 2021
This dataset updates: Every day
Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture the impact of COVID-19 on children's education.
More relevant information below:
The booklet included HERE goes into more details on how Premise's crowdsourcing works.
Updated
17 June 2021
| Dataset date: February 05, 2019-February 05, 2019
This dataset updates: As needed
Consolidated 4W data from Inter Sector Coordination Group (ISCG), collected from the partners and organisations involved in the humanitarian response in Cox's Bazar, Bangladesh.
Updated
16 June 2021
| Dataset date: June 01, 2019-August 31, 2019
This data is by request only
Primary data will be collected by means of a household-level survey designed with the participation of the humanitarian clusters in Somalia. Cluster leads are asked to outline information gaps and the type of data required to inform their strategic plans. Key indicators are developed by REACH with the substantive input of participating partners, and subsequently validated by the clusters. REACH will draft the household survey tool through an iterative consultation process with cluster partners and OCHA and is aligned, as much as possible, with the Joint Inter-Sectoral Analysis Framework (JIAF) which will serve as a common and structured method for assessing the severity of needs across different clusters.
The assessment will use stratified cluster sampling at the district level using settlements as the clusters and households as the unit of measurement. For some districts, 2-stage stratified random sampling will be used instead of stratified cluster sampling for large urban centres, if it proves to be more efficient and logistically feasible for data collection. The sample will be stratified by population group, disaggregated by non-displaced communities, and IDP settlements; the sample will be further stratified by district to ensure coverage and comparison across the entire country (with the exception of inaccessible areas). In the case of cluster sampling, the minimum cluster size will be set to 6 households. The sample size will be adjusted for the design effect and will enable generalisation of the results to each of the two population strata in each district, with a 90% confidence level and a 10% margin of error.
Updated
15 June 2021
| Dataset date: November 14, 2020-May 17, 2021
This dataset updates: Every month
Overview
The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary.
Unit of Measure
Percentages.
Aggregation Method:
The data is aggregated by Urban/Rural/National and Industry Sector
Disclaimer:
This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out.
Version Notes:
COVID-19 Harmonized Household Data Feb 18 โข Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review โข Added need for, and access to medical care in multiple countries โข Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review
Funding Name, Abbreviation, Role:
The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdomโs Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea.
Other Acknowledgments:
This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative.
Time Periods:
March, 2021
Updated
Live
| Dataset date: February 16, 2020-June 19, 2021
This dataset updates: Live
The number of children, youth and adults not attending schools or universities because of COVID-19 is soaring. Governments all around the world have closed educational institutions in an attempt to contain the global pandemic.
According to UNESCO monitoring, over 100 countries have implemented nationwide closures, impacting over half of worldโs student population. Several other countries have implemented localized school closures and, should these closures become nationwide, millions of additional learners will experience education disruption.
Updated
11 June 2021
| Dataset date: January 01, 2017-May 31, 2021
This dataset updates: As needed
This page provides the data published in the Education in Danger Monthly News Brief.
All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
Updated
10 June 2021
| Dataset date: January 01, 2019-May 31, 2021
This dataset updates: As needed
This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
Updated
28 May 2021
| Dataset date: May 01, 2013-May 01, 2013
This dataset updates: Every month
The Syria Cultural Sites dataset contains geographic location (point geometry), name, type, and area name of over 1000 cultural heritage sites and museums in Syria compiled by the Cultural Heritage Center, Bureau of Educational and Cultural Affairs, U.S. Department of State (http://eca.state.gov/cultural-heritage-center) as of Spring 2013. The sites are categorized by type, which include but not limited to, archaeological sites, roman ruins, mosques, schools, churches, cemeteries, and towns. The data contained herein is entirely unclassified.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
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.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
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.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
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.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
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.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
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.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.
Updated
28 May 2021
| Dataset date: January 01, 1960-December 31, 2020
This dataset updates: Every month
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.
