Education in Emergencies
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  • 100+ Downloads
    Updated Live | Dataset date: May 1, 2019-Dec 31, 2020
    This dataset updates: Live
    This dataset combines two sources of education-insecurity data: Machine-learning-driven counts of tweets from Africa and the Middle East on the topic of education insecurity—in Arabic, English, and French—via the Artificial Intelligence for Disaster Response (AIDR) project Human-curated reports of actual education-insecurity events in Africa and the Middle East, via the Armed Conflict Location & Event Data (ACLED) project.
  • 12000+ Downloads
    Updated November 26, 2020 | Dataset date: Feb 5, 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.
  • 100+ Downloads
    Updated November 23, 2020 | Dataset date: Jan 1, 2019-Sep 30, 2020
    This dataset updates: As needed
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Mali to ensure staff safety and better response outcomes.
  • 200+ Downloads
    Updated November 19, 2020 | Dataset date: Jan 1, 2017-Sep 30, 2020
    This dataset updates: As needed
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Niger to ensure staff safety and better response outcomes.
  • 500+ Downloads
    Updated November 19, 2020 | Dataset date: Jan 1, 2015-Oct 31, 2020
    This dataset updates: As needed
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
  • 2700+ Downloads
    Updated November 16, 2020 | Dataset date: Jan 1, 2017-Oct 31, 2020
    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).
  • 9100+ Downloads
    Updated November 13, 2020 | Dataset date: Jul 27, 2020-Aug 15, 2020
    This dataset updates: Every six months
    In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • 10+ Downloads
    Updated November 11, 2020 | Dataset date: Nov 21, 2020-May 23, 2026
    This data is by request only
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The booklet included HERE provides more details on how crowdsourcing works. The data tracks delivery indicators for electricity, cooking gas, and garbage disposal at a weekly granularity.
  • 1700+ Downloads
    Updated November 9, 2020 | Dataset date: Jan 1, 2019-Oct 31, 2020
    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.
  • 2100+ Downloads
    Updated Live | Dataset date: Feb 16, 2020-Dec 1, 2020
    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 world’s student population. Several other countries have implemented localized school closures and, should these closures become nationwide, millions of additional learners will experience education disruption.
  • 10+ Downloads
    Updated November 2, 2020 | Dataset date: Jul 13, 2020-Aug 15, 2020
    This dataset updates: Never
    L'Evaluation Multisectorielle Des Besoins (MSNA) 2020 au Burkina Faso couvre la plupart des secteurs humanitaires sur diverses dimensions : Eau, Hygiène et Assainissement (EHA / WASH), sécurité alimentaire, santé / nutrition, abris et biens non-alimentaires (ABNA / Shelter - NFI), protection et redevabilité envers les communautés affectées (AAP). Des entretiens en personne ont été menés auprès de ménages dans les zones où l'accès était possible tant d'un point de vue logistique que sécuritaire. Les zones où l'accès n'était pas possible ont été couvertes par téléphone autant que possible. L’évaluation se concentre sur deux ensembles : - Les cinq régions affectées par la crise, situées au nord-est du pays, et affectées par des facteurs tels que l’insécurité. - Les 8 autres régions, où la crise a parfois commencé à se répandre, et dans lesquelles la population est également confrontée à un manque structurel d’accès aux services et des problématiques de plus long terme. En outre, deux groupes de populations ont été définis pour les différents échantillons : la population non déplacée et la population déplacée. L’échantillonnage a été produit de manière à ce que, dans les régions ou provinces accueillant plus que 300 ménages Personnes Déplacées Internes (PDI), les données soient généralisables par groupe de population. Différentes stratégies d’échantillonnage et de collecte de données ont été mises en place en fonction des données démographiques et de recensement des PDI disponibles et de l’accessibilité des zones : (1) Échantillonnage par grappes à deux degrés : enquêtes ménages en personne. Un intervalle de confiance de 95% et une marge d’erreur de 10% appliqués. Les données sont représentatives par strates (province, région) (2) Échantillonnage non probabiliste par quotas : enquêtes ménages en personne (pour les localités accessibles mais dont les données sur le recensement par site des PDI ne sont pas disponibles). Les données sont indicatives, et ne peuvent donner lieu à une généralisation des résultats. Les données peuvent néanmoins être utilisées pour des fins d’analyses, dans la mesure où leurs limitations statistiques sont connues et prise en compte par les utilisateurs. Ces différentes stratégies impliquent que les résultats ont une représentativité statistique différente en fonction des régions, provinces et groupes de population représentés: - Données statistiquement représentatives: données issues de l'échantillonnage en grappe, soit dans les régions du Sahel, Centre-Nord, Nord, Est et Boucle du Mouhoun, pour la population hôte; - Données indicatives : données pour les autres régions et pour toutes les provinces, ainsi que pour les déplacés. Si ces données sont combinées avec des données représentatives, l'ensemble des données sont alors indicatives. Les poids pour les deux stratégies d'échantillonnage sont disponibles pour chaque ménage dans les colonnes "weights_sampling_admin1" et "weights_sampling_admin2", respectivement. L’évaluation se concentre sur deux ensembles : - Les cinq régions affectées par la crise, situées au nord-est du pays, et affectées par des facteurs tels que l’insécurité. - Les 8 autres régions, où la crise a parfois commencé à se répandre, et dans lesquelles la population est également confrontée à un manque structurel d’accès aux services et des problématiques de plus long terme. Plus d’informations sont disponibles dans l’onglet Lisez-Moi.
  • Updated November 1, 2020 | Dataset date: Nov 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: addr:city capacity:persons source building amenity operator:type addr:full name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 70+ Downloads
    Updated October 30, 2020 | Dataset date: Oct 31, 2020
    This dataset updates: Every three months
    UNICEF Eastern and Southern Africa Risks and Hazards- situation and response
  • 2700+ Downloads
    Updated October 22, 2020 | Dataset date: Sep 2, 2020
    This dataset updates: Every month
    The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors: Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
  • 30+ Downloads
    Updated October 8, 2020 | Dataset date: Jul 1, 2019
    This dataset updates: As needed
    This dataset contains geolocations of Côte d'Ivoire's primary schools as identified by Enveritas' satellite detection algorithm in July 2019. Enveritas updates this dataset with on-the-ground observations, which consist of field agents going to the identified locations and confirming the presence of primary schools. An update is planned in November 2020. For more information on the methodology, do not hesitate to contact us.
  • Updated October 7, 2020 | Dataset date: Oct 6, 2020
    This data is by request only
    Base que contiene información acerca estudiantes que presentaron el ICFES en Colombia a nivel municipal por instituciones educativas. Además contiene información acerca del hogar del estudiante condiciones para su desarrollo educativo, zona de ubicación del colegio, jornada , sede, carácter y el puntaje obtenido.
  • Updated October 7, 2020 | Dataset date: Oct 6, 2020
    This dataset updates: As needed
    Base que contiene información acerca las instituciones educativas oficiales y no oficiales en Colombia a nivel municipal, que participaron en las pruebas ICFES del segundo periodo del 2018. Datos obtenidos del ICFES.
  • Updated October 7, 2020 | Dataset date: Oct 6, 2020
    This dataset updates: As needed
    Base que contiene información de Personas entre los 5 y 19 años con acceso y no acceso a internet en Colombia con granularidad municipal. Datos obtenidos del CNPV 2018.
  • Updated October 7, 2020 | Dataset date: Oct 6, 2020
    This dataset updates: As needed
    Base que contiene información acerca de la población entre 6 y 16 años que cuentan o no con matricula. Datos obtenidos del SIMAT-MEN, con granularidad municipal.
  • Updated October 7, 2020 | Dataset date: Oct 6, 2020
    This dataset updates: As needed
    Base que contiene información acerca de la deserción escolar de instituciones oficiales y privadas de Colombia por departamento y municipio, con datos del SIMAT OAFP.
  • 10+ Downloads
    Updated Live | Dataset date: Dec 31, 2099
    This dataset updates: Live
    Incidents of insecurity events pulled from the ACLED data API. ACLED was not directly involved in filtering or selecting these events.
  • 100+ Downloads
    Updated September 28, 2020 | Dataset date: Jan 1, 1960-Dec 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.
  • 100+ Downloads
    Updated September 28, 2020 | Dataset date: Jan 1, 1960-Dec 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.
  • 60+ Downloads
    Updated September 28, 2020 | Dataset date: Jan 1, 1960-Dec 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.
  • 300+ Downloads
    Updated September 28, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2026
    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.