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  • Education and Conflict Monitor
    Updated September 20, 2018 | Dataset date: Jan 1, 2013-Dec 31, 2017
    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.
    • CSV
    • This dataset updates: Never
  • ReliefWeb
    Updated September 20, 2018 | Dataset date: Sep 20, 2018
    This dataset contains key figures (topline numbers) on the world's pressing humanitarian crisis as shown on ReliefWeb's Crises app. The data includes key figures such as the number of affected population and funding status. The data are curated by ReliefWeb's editorial team based on their relevance to the humanitarian community. Descriptions of the files and columns within the files are included in the Additional Metadata.xlsx file.
    • CSV
    • JSON
    • XLSX
    • 1100+ Downloads
    • This dataset updates: Every week
  • Central Emergency Response Fund
    Updated September 20, 2018 | Dataset date: Sep 20, 2018
    Topline figures dataset for the Central Emergency Response Fund's organisation page
    • CSV
    • 10+ Downloads
    • This dataset updates: Every week
  • Central Emergency Response Fund
    Updated September 19, 2018 | Dataset date: Jul 1, 2017
    This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.
    • CSV
    • JSON
    • 40+ Downloads
    • This dataset updates: Every day
  • WFP - World Food Programme
    Updated September 16, 2018 | Dataset date: Oct 6, 2015
    This layer contains airports locations. This dataset brings together various public sources such as OpenStreetMap or ourairports.com with WFP logistics information. It is updated regularly with inputs from WFP aviation unit but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy. This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.
  • This layer contains information about Global Border Crossing Points used for humanitarian operations.
  • WFP - World Food Programme
    Updated September 14, 2018 | Dataset date: Oct 14, 2014
    This layer contains airports locations. This dataset brings together various public sources such as OpenStreetMap or ourairports.com with WFP logistics information. It is updated regularly with inputs from WFP aviation unit but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy. This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest. Feel free to contribute to this dataset by contacting hq.gis@wfp.org.
  • WFP - World Food Programme
    Updated September 14, 2018 | Dataset date: Oct 8, 2015
    This layer contains ports locations. This dataset brings together various public sources with WFP logistics information. It is updated regularly with inputs from WFP logistics but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy. This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest. Feel free to contribute to this dataset by contacting hq.gis@wfp.org.
  • INFORM
    Updated September 14, 2018 | Dataset date: Jan 1, 2015-Dec 31, 2015
    The overall INFORM risk index identifies countries at risk from humanitarian crises and disasters that could overwhelm national response capacity. It is made up of three dimensions - hazards and exposure, vulnerability and lack of coping capacity.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Every year
  • OCHA FISS
    Updated September 14, 2018 | Dataset date: Jan 19, 2015
    (DEPRECATED: please use the data at https://data.humdata.org/dataset/global-coordination-groups-beta instead — also available at http://vocabulary.unocha.org). Based on feedback from Humanitarian Information Management community, the Humanitarianresponse.info team in OCHA has released three letters standard clusters codes via APIs to help facilitate interoperability between websites and data from several humanitarian platforms including HumanitarianRespons.info, ReliefWeb, HDX, Online Reporting System, Online Project System, Financial Tracking Service and the developer communities.
    • JSON
    • CSV
    • HTML
    • 500+ Downloads
    • This dataset updates: Never
  • Central Emergency Response Fund
    Updated September 13, 2018 | Dataset date: Jun 30, 2017
    This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.
    • CSV
    • JSON
    • 20+ Downloads
    • This dataset updates: Every week
  • UNICEF Data and Analytics (HQ)
    Updated September 12, 2018 | Dataset date: Dec 31, 2017
    Vitamin A deficiency supplementation (2000-2015), including country breakdown Definitions: Two dose coverage - proportion of 6 to 59 month-olds receiving two high-dose vitamin A supplements in a calendar year (lower of semester 1 and semester 2 coverage) Semester 1 coverage - proportion of 6 to 59 month-olds receiving a high-dose vitamin A supplement in the first half of the calendar year (January-June) Semester 2 coverage - proportion of 6 to 59 month-olds receiving a high-dose vitamin A supplement in the first half of the calendar year (July-December)
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • Children with diarrhoea who were given oral rehydration treatment (ORS) and zinc, including country breakdown Definition: Percentage of children under age 5 who had diarrhoea in the two weeks preceding the survey and who received oral rehydration treatment (ORS) and zinc
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • Children under 5 with Symptoms of Pneumonia - in Percentage (2017), including country breakdown Definition: Proportion of children aged 0-59 months with suspected pneumonia taken to an appropriate health provider Measurement limitations: Data collected through national household surveys, such as Multiple Indicator Cluster Surveys (MICS) and Demographic and Health Surveys (DHS), report on the prevalence of symptoms of pneumonia, based on information about whether children have experienced coughing and fast or difficult breathing (due to a problem in the chest) in the two weeks prior to the survey. These children have not necessarily been medically diagnosed, and thus these data should be interpreted with caution. This limitation affects the accurate measurement of the coverage indicator on treatment of symptoms of pneumonia with antibiotics. The indicator becomes underestimated due to inflation of the denominators with children with apparent symptoms of pneumonia, but who did not actually have pneumonia, and therefore were not treated with antibiotics.
    • XLS
    • 20+ Downloads
    • This dataset updates: Never
  • Agence Française de Developpement (AFD)
    Updated September 12, 2018 | Dataset date: Dec 30, 2015
    Development assistance data from AFD - French Development Agency The dataset covers French development assistance, on ongoing projects in 2015. The data are disclose as receivers agreed France to share it. AFD aims at updating the data every trimester to take into account the flow of new project being funded. Cumulative fundings were update December the 30th 2015 and respect IATI standards. Données de l'aide au développement de l' AFD - Agence Française de Développement Les données portent sur l’aide au développement française sur les projets réalisés en souverain et en cours d’exécution en 2015. Ces données peuvent être publiées dès lors que l'accord de la contrepartie a été obtenu.L'Agence Française de Développement visera une actualisation trimestrielle de la publication de ces données, notamment pour prendre en compte les nouveaux projets de développement financés par l’Agence. Il est à noter que les montants cumulés des versements ont été mis à jour le 30 décembre 2015. Ces données respectent le standard IATI (Initiative internationale pour la transparence de l’aide).
    • JSON
    • This dataset updates: Never
  • A global database of the state of Water, Hygiene and Sanitation for 2017.
    • XLSX
    • This dataset updates: Never
  • Handwashing has strong links to health, particularly in public or institutional settings. Globally, in 2016, 53% of schools worldwide had handwashing facilities with soap and water available at the time of the survey and were therefore classified as having a basic hygiene service. 11% had handwashing facilities but no soap available at the time of the survey so they were counted as providing a limited service. 36% of schools had no handwashing service. It is therefore estimated that over 850 million children lacked a basic service and either had a limited or no handwashing service at their school.
    • CSV
    • This dataset updates: Never
  • Open Crisis
    Updated September 11, 2018 | Dataset date: Sep 30, 2017
    Collection of resources used by crisismappers for finding data
    • CSV
    • 100+ Downloads
    • This dataset updates: Never
  • Open Crisis
    Updated September 11, 2018 | Dataset date: Oct 1, 2014
    Commonly Used Abbreviations in United Nations Logistics Scraped from http://www.un.org/en/peacekeeping/sites/coe/referencedocuments/COE%20Acronyms.pdf on 20th October 2014 Listed by Contingent Owned Equipment Unit / COE & PMSS/ UNHQ Dated October 2008 COE website: www.un.org/Depts/dpko/COE/home
    • CSV
    • 100+ Downloads
    • This dataset updates: Never
  • Open Crisis
    Updated September 11, 2018 | Dataset date: Feb 26, 2016
    Comparison of country name standards, and common name errors found across data.un.org
    • CSV
    • 400+ Downloads
    • 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
    • XLSX
    • 100+ Downloads
    • 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.
    • XLSX
    • 100+ Downloads
    • 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.
    • XLSX
    • 100+ Downloads
    • 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.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • This data set covers the percentage of households who have access to piped water, sewerage, electricity and telephone around the world.
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never