Data

Children's right to be heard does not cease in situations of disaster or in their aftermath. The UN Committee on the Rights of the Child encourages State parties to the CRC to support mechanism which enable children to play an active role in both post-emergency, reconstruction, and post-conflict resolution processes.

This dashboard presents live data on COVID-19 impacts on education in 27 countries and 3 regional hubs with active education clusters (or working groups). Information includes numbers of teachers and students affected by crises before and during COVID-19 from pre-primary to tertiary, and numbers of children missing school meals during COVID-19.

STATcompiler hosts Demographic and Health Surveys data. These household level surveys show pre-COVID-19 data on the availability of various forms of technology in homes. As this data can be disaggregated it can be used to analyse to what extent remote learning is feasible for different groups within countries and which groups are at risk of exclusion.

This collection includes research publications, helpdesk resources, and recent blog posts that provide analysis to inform COVID-19 education responses.

Interactive dashboard with up-to-date information on education and COVID-19

This page tracks humanitarian aid to the COVID-19 Global Humanitarian Response Plan (GHRP) and includes commitments, pledges and projected funding. This can be analysed by recipient country, donor country and cluster, of which education is one.

This website tracks school closures by country around the world and presents data on numbers of children enrolled from pre-primary through tertiary education affected by closures.

The Humanitarian Data Exchange COVID-19 platform hosts datasets relevant to COVID-19 in 25 countries affected by other humanitarian crises. There is currently a limited but growing number of datasets relevant to education.

This global database includes data on drinking water, sanitation and hygiene in schools, as well as in homes and health care facilities. It includes over 400 national data sources about WASH in schools, with the primary sources being Education Management Information Systems (EMIS).

UNICEF’s Multiple Indicator Cluster Surveys are household level surveys that show pre-COVID-19 data on the availability of various forms of technology in homes. As this data can be disaggregated it can be used to analyse to what extent remote learning is feasible for different groups within countries and which groups are at risk of exclusion.

The PAL Network is a network of citizen-led learning assessments in fourteen countries. These surveys show pre-COVID-19 data on the availability of various forms of technology in homes. As this data can be disaggregated it can be used to analyse to what extent remote learning is feasible for different groups within countries and which groups are at risk of exclusion.

The short and accessible briefs collected here draw on rigorous evidence relevant to the COVID-19 emergency to formulate recommendations for policymakers on five critical dimensions of school reopening and recovery.

PISA is a school-based survey which collects extensive student background data. This pre-COVID-19 data includes information on the availability of various forms of technology in homes. As this data can be disaggregated it can be used to analyse to what extent remote learning is feasible for different groups within countries and which groups are at risk of exclusion.

This paper presents the results of simulations considering different lengths of school closure (3, 5, and 7 months) and different levels of mitigation effectiveness (mostly remote learning), resulting in an optimistic, intermediate, and pessimistic global scenario.

TIMSS and PIRLS are school-based surveys which collect extensive student background data. This pre-COVID-19 data includes information on the availability of various forms of technology in homes. As this data can be disaggregated it can be used to analyse to what extent remote learning is feasible for different groups within countries and which groups are at risk of exclusion.