Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
Administrative Divisions:
  • 1000+ Downloads
    Updated December 9, 2019 | Dataset date: Sep 1, 2018-Nov 30, 2019
    This dataset updates: Every month
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country.
  • 700+ Downloads
    Updated December 3, 2019 | Dataset date: Jan 1, 2017-Sep 30, 2019
    This dataset updates: Every month
    This dataset contains the total number of people targeted and reached per region and per cluster in Somalia.
  • 1000+ Downloads
    Updated November 28, 2019 | Dataset date: Jan 1, 2018-Oct 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. The first dataset covers events where educators were killed, kidnapped or arrested (KKA) and incidents where schools were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The second dataset includes threats and incidents of violence as well as protests and other events affecting education in 2018. For a breakdown on the number of educators killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 20+ Downloads
    Updated November 22, 2019 | Dataset date: Nov 1, 2017-Jan 31, 2018
    This dataset updates: Every year
    The ACU’s Information Management Unit conducted the 4th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on education and the needs of students and school supplies. This is the most representative, nuanced iteration of this study to date, covering 4,079 schools within 99 sub-districts across 10 governorates, building upon 35,925 data e-forms with 31,846 forms on perception surveys. It has significant increase in the number of the functional schools addressed over its first version to the current one by 2,572 schools. Please note to be more specific as possible on the following when you request the data: Why are you requesting the data? What is the intent to use the data? What is your role? Who is the organization that you represent for?
  • Updated November 12, 2019 | Dataset date: Sep 13, 2019
    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.
  • 6200+ Downloads
    Updated October 31, 2019 | Dataset date: Jul 1, 2019-Jul 16, 2019
    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.
  • Updated October 11, 2019 | Dataset date: Oct 1, 2017-Jul 31, 2018
    This data is by request only
    The study conducted in partnership with IMMAP and funded by the Australian Government includes a literature review, quantitative data collection as well as data collection. Quantitative data was collected from 8,876 persons from 1,665 households from 5 locations in Jordan and Lebanon. In the light of the UN Convention on the Rights of Persons with Disabilities (UNCRPD), the study defined disability as interactions between personal and environmental factors. Disability was measured the level of difficulties a person faces when performing basic activities (referred as "domains") regardless of impairments, using the modified Washington Group's Extended Set (WG-ES) (more precisely, Short Set Enhanced plus fatigue) and Child Functioning Module (CFM).
  • Updated October 11, 2019 | Dataset date: Jan 22, 2018-Dec 14, 2018
    This data is by request only
    In 2016, REACH with the support of OFDA conducted the first area based assessment (ABA) in Ukraine focusing on access to basic services for the 100 government controlled cities and villages along the line of contact seperating the government controlled (GCA) and non government controlled areas (NGCA) of the Donetsk and Luhansk oblasts. The assessment found that access to basic services in conflict-affected areas the assessed communities had been severely disrupted due to the disconnection between peripheries of large cities Donbas and the city centers now in non-governmental controlled areas (NGCA). As a result of the seperation between GCA and NGCA, settlements along the line of contact in the GCA have reorganised themselves inward towards government controlled urban centers. The networks of communities that access basic services unit geographies in government controlled areas have adjusted to the reality of a disconnection with non-government controlled cities by accessing all services and markets in reorganizing into new basic service units surrounding cities controlled by the Ukrainian Government. Based on findings from the area based assessment (ABA), this reorganization of basic services units in Donetsk and Luhansk Oblastsbas increases pressure on administrative services, housing, education and health services due to multiple potential factors including: i) the departure of qualified personnel ii) the arrival of conflict-displaced populations iii) and the relocation of of administrative centers. In order to support effective recovery and longer-term development planning it is critical to understand how the conflict has brought new challenges to service delivery in GCA urban centers close to the line of contact, particularly with regards to the new population flows following the effective closure of large urbanized areas in the NGCA. General Objective To understand the gaps and in the provision of basic services (by service providers) and the barriers to accessing basic services (by households) in raions that have been been separated by the contact line in Donetsk and Luhansk oblasts.
  • 100+ Downloads
    Updated August 7, 2019 | Dataset date: Oct 1, 2017-Jul 31, 2018
    This dataset updates: As needed
    The study conducted in partnership with IMMAP and funded by the Australian Government includes a literature review, quantitative data collection as well as data collection. Quantitative data was collected from 8,876 persons from 1,665 households from 5 locations in Jordan and Lebanon. In the light of the UN Convention on the Rights of Persons with Disabilities (UNCRPD), the study defined disability as interactions between personal and environmental factors. Disability was measured the level of difficulties a person faces when performing basic activities (referred as "domains") regardless of impairments, using the modified Washington Group's Extended Set (WG-ES) (more precisely, Short Set Enhanced plus fatigue) and Child Functioning Module (CFM).
  • 50+ Downloads
    Updated June 28, 2019 | Dataset date: Jan 24, 2019
    This dataset updates: As needed
    Pcodes and information on road closures and affected learning centres
  • 40+ Downloads
    Updated June 11, 2019 | Dataset date: Jul 28, 2018
    This dataset updates: Every year
    The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards.
  • 80+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2015-Dec 31, 2017
    This dataset updates: Every year
    This dataset highlights recent global trends regarding the impact of armed conflict on children and provides information on violations committed in 2017, as well as related protection concerns. Where possible, violations are attributed to parties to conflict and, in line with the resolutions of the Council, the annexes to the present report include a list of parties that, in violation of international law, engage in the recruitment and use of children, the killing and maiming of children, rape and other forms of sexual violence against children, attacks on schools and/or hospitals and attacks or threats of attacks against protected personnel, and the abduction of children.
  • 800+ Downloads
    Updated October 9, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
  • 300+ Downloads
    Updated September 20, 2018 | Dataset date: Jan 1, 2013-Dec 31, 2017
    This dataset updates: Never
    This dataset is extracted from the 2018 edition of the Global Coalition to Protect Education from Attack (GCPEA)’s flagship report, Education Under Attack. The report is the result of independent research conducted by GCPEA. Generous support for the report was provided by the Education Above All Foundation, the Norwegian Ministry of Foreign Affairs, and an anonymous donor. Columbia University’s Mailman School of Public Health contributed in-kind research support. For more information, visit eua2018.protectingeducation.org or protectingeducation.org.
  • 100+ Downloads
    Updated July 27, 2018 | Dataset date: Jul 27, 2018
    This dataset updates: Every year
    Using data from AOAV's explosive violence monitor, this dataset focuses on the casualties recorded from the use of explosive weapons in/on schools globally, between 2011-2017.
  • 100+ Downloads
    Updated May 25, 2018 | Dataset date: May 25, 2018
    This dataset updates: Every year
    El indicador estima el porcentaje de población adulta alfabetizada que es capaz de usar palabras escritas en la vida diaria y de continuar aprendiendo. Refleja el logro acumulado de la educación en la difusión de la alfabetización.
  • 100+ Downloads
    Updated May 22, 2018 | Dataset date: May 22, 2018
    This dataset updates: Every year
    La población que vive en la zona urbana y reside en viviendas con una o más necesidades básicas insatisfechas sea acceso a agua o de saneamiento mejorado, suficiente área de vivienda y durabilidad de la vivienda, o educación.
  • 100+ Downloads
    Updated May 22, 2018 | Dataset date: May 22, 2018
    This dataset updates: Every year
    Pobreza calculada a partir de las viviendas particulares ocupadas con personas presentes con una o más necesidades básicas insatisfechas (acceso a vivienda, acceso a servicios sanitarios, acceso a educación, capacidad económica).
  • 100+ Downloads
    Updated January 30, 2018 | Dataset date: May 2, 2016
    This dataset updates: Every year
    Engloba aspectos tangibles e intangibles relacionados a la incapacidad de las personas de tener una vida digna. Los indicadores de pobreza rural evidencian insuficiencia de servicios básicos, falta de empleo, salud y educación.
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 31, 2015
    This dataset updates: Never
    This dataset contains a detailed breakdown of the Global Multidimensional Poverty Index (MPI) by rural and urban areas for 108 countries.The Global MPI reflects the combined simultaneous disadvantages poor people experience across different areas of their lives, including education, health and living standards. If people are deprived in at least one-third of ten weighted indicators, they are identified as multi-dimensionally poor. For further information on the MPI visit: http://www.ophi.org.uk/multidimensional-poverty-index/ The dataset is an appendix to OPHI's Methodological Note – Winter 2014/2015 (http://www.ophi.org.uk/multidimensional-poverty-index/mpi-2014-2015/mpi-methodology/) Please cite the data as: Alkire, S., Conconi, A., Robles, G. and Seth, S. (2015). “Multidimensional Poverty Index, Winter 2014/2015: Brief Methodological Note and Results.” OPHI Briefing 27, University of Oxford, January.
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 31, 2015
    This dataset updates: Never
    This dataset details changes to multidimensional poverty over time for 34 countries and their sub-national regions where possible. The Global Multidimensional Poverty Index (MPI) reflects the combined simultaneous disadvantages poor people experience across different areas of their lives, including education, health and living standards. If people are deprived in at least one-third of ten weighted indicators, they are identified as multi-dimensionally poor. For further information on the MPI visit: http://www.ophi.org.uk/multidimensional-poverty-index/ The dataset is an appendix to the Methodological Note – Winter 2014/2015 (http://www.ophi.org.uk/multidimensional-poverty-index/mpi-2014-2015/mpi-methodology/) and Multidimensional Poverty Dynamics: Methodology and Results for 34 countries (http://www.ophi.org.uk/wp-content/uploads/OPHI-RP-41a.pdf?0a8fd7). Please site the data as: Alkire, S., J. M. Roche and A. Vaz (2014): “Multidimensional Poverty Dynamics: Methodology and Results for 34 countries”, Oxford Poverty and Human Development Initiative, Oxford University. ophi.qeh.ox.ac.uk
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 31, 2015
    This dataset updates: Never
    This dataset contains detailed Global Multidimensional Poverty Index (MPI) data for 110 countries.The Global MPI reflects the combined simultaneous disadvantages poor people experience across different areas of their lives, including education, health and living standards. If people are deprived in at least one-third of ten weighted indicators, they are identified as multi-dimensionally poor. For further information on the MPI visit: http://www.ophi.org.uk/multidimensional-poverty-index/ The dataset includes main MPI results for each country, the proportion of people who are MPI poor and experience deprivations in each indicator of poverty, the percentage contribution of deprivations to the MPI for each country, and other measures of poverty and wellbeing at the national level. It is an appendix to OPHI's Methodological Note – Winter 2014/2015 (http://www.ophi.org.uk/multidimensional-poverty-index/mpi-2014-2015/mpi-methodology/) Please cite the data as: Alkire, S., Conconi, A., Robles, G. and Seth, S. (2015). “Multidimensional Poverty Index, Winter 2014/2015: Brief Methodological Note and Results.” OPHI Briefing 27, University of Oxford, January.
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 31, 2015
    This dataset updates: Never
    This dataset contains detailed Global Multidimensional Poverty Index (MPI) data at the sub-national level for 71 countries.The Global MPI reflects the combined simultaneous disadvantages poor people experience across different areas of their lives, including education, health and living standards. If people are deprived in at least one-third of ten weighted indicators, they are identified as multi-dimensionally poor. For further information on the MPI visit: http://www.ophi.org.uk/multidimensional-poverty-index/ The dataset is an appendix to OPHI's Methodological Note – Winter 2014/2015 (http://www.ophi.org.uk/multidimensional-poverty-index/mpi-2014-2015/mpi-methodology/) Please cite the data as: Alkire, S., Conconi, A., Robles, G. and Seth, S. (2015). “Multidimensional Poverty Index, Winter 2014/2015: Brief Methodological Note and Results.” OPHI Briefing 27, University of Oxford, January.
  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2013-Jan 1, 2015
    This dataset updates: Every three months
    Desde julio de 2013 la oficina de OCHA en Colombia estableció un marco para el monitoreo del confinamiento. Según este marco, una población se encuentra confinada cuando sufre limitaciones a su libre movilidad por un período igual o superior a una semana, y además tiene acceso limitado a tres bienes o servicios básicos, como: educación, salud, agua y saneamiento, medios de vida, entre otros.
  • 30+ Downloads
    Updated August 17, 2015 | Dataset date: Nov 4, 2014
    This dataset updates: Never
    This data is about the access of girls to basic education across schools in Uganda