• Updated 24 November 2022 | Dataset date: January 01, 2017-October 20, 2022
    These datasets contain information on violent and threatening incidents affecting aid operations, education, health care, refugees and IDPs, and publicly-reported cases of sexual violence by law enforcement bodies, conflict actors, conflict-related sexual violence, and sexual violence that targets IDPs/refugees or vulnerable beneficiaries in Ethiopia to ensure staff safety and better response outcomes.
    2300+ Downloads
    This dataset updates: As needed
  • Updated 22 November 2022 | Dataset date: January 01, 2000-October 20, 2022
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, health care, refugees and IDPs in Haiti to ensure staff safety and better response outcomes.
    1200+ Downloads
    This dataset updates: As needed
  • Updated 22 November 2022 | Dataset date: January 01, 2016-October 20, 2022
    These datasets contain information on violent and threatening incidents affecting aid operations, education, health care, refugees and IDPs, and publicly-reported cases of sexual violence by law enforcement bodies, conflict actors, conflict-related sexual violence, and sexual violence that targets IDPs/refugees or vulnerable beneficiaries in Nigeria to ensure staff safety and better response outcomes.
    600+ Downloads
    This dataset updates: As needed
  • Updated 22 November 2022 | Dataset date: January 01, 2016-October 20, 2022
    These datasets contain information on violent and threatening incidents affecting aid operations, education, health care, refugees and IDPs, and publicly-reported cases of sexual violence by law enforcement bodies, conflict actors, conflict-related sexual violence, and sexual violence that targets IDPs/refugees or vulnerable beneficiaries in Sudan to ensure staff safety and better response outcomes.
    700+ Downloads
    This dataset updates: As needed
  • Updated 22 November 2022 | Dataset date: January 01, 2018-October 20, 2022
    These datasets contain information on violent and threatening incidents affecting aid operations, education, health care, refugees and IDPs, and publicly-reported cases of sexual violence by law enforcement bodies, conflict actors, conflict-related sexual violence, and sexual violence that targets IDPs/refugees or vulnerable beneficiaries in the DRC to ensure staff safety and better response outcomes.
    2200+ Downloads
    This dataset updates: As needed
  • Updated 17 November 2022 | Dataset date: January 01, 2019-October 31, 2022
    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.
    3100+ Downloads
    This dataset updates: As needed
  • Updated 19 October 2022 | Dataset date: January 01, 2015-March 28, 2022
    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. To get the complete data of the assessment round, kindly download the corresponding Location Assessment data here: https://data.humdata.org/dataset/nigeria-location-assessment-data.
    15000+ Downloads
    This dataset updates: Every six months
  • Updated 27 September 2022 | Dataset date: January 01, 2013-December 31, 2021
    This dataset is extracted from 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.
    1400+ Downloads
    This dataset updates: As needed
  • Updated 15 February 2022 | Dataset date: January 01, 2017-December 31, 2021
    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).
    6300+ Downloads
    This dataset updates: As needed
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    60+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    50+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    200+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    100+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    80+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    100+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    90+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    100+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    300+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    70+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    100+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    300+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    70+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    60+ Downloads
    This dataset updates: Every year
  • Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    100+ Downloads
    This dataset updates: Every year
  • This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
    100+ Downloads
    This dataset updates: Every year