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  • Global CCCM Cluster
    Updated January 16, 2017 | Dataset date: Jan 16, 2017
    The Formal Sites Monitoring Tool (FSMT) is a camp management monitoring tool, designed to provide a synopsis of the main demographic information at site level as well key humanitarian indicators for all formal sites across Iraq.
    • CSV
    • This dataset updates: Every month
  • OCHA Afghanistan
    Updated January 15, 2017 | Dataset date: Jan 1, 2016-Jan 3, 2017
    Newly displaced population due to conflict between 01 Jan and 03 Jan 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 15 January 2017 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • This dataset updates: Every week
  • ReliefWeb
    Updated January 14, 2017 | Dataset date: Jan 14, 2017
    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
    • 20+ Downloads
    • This dataset updates: Every week
  • American Red Cross
    Updated January 13, 2017 | Dataset date: Feb 1, 2016-Oct 31, 2016
    From February to October 2016, the American Red Cross and its local Red Cross partners completed an effort to extensively map areas within a 15-kilometer distance of the shared borders between Guinea, Liberia, and Sierra Leone. The goal of this work was to create an open and comprehensive dataset of communities for West Africa and to ensure that decision makers, humanitarian workers, and community stakeholders are better aware of water, sanitation, health, and community resources before and during the next crisis. To complete this mapping, the American Red Cross launched a mapping center in Guéckédou, Guinea, and used it as both a base of operations and a community engagement facility. Over 100 volunteers helped to complete a rapid assessment of the region, visiting over 7,000 communities by motorbike to complete a vulnerability survey with the village leader. Next, over 100 communities were selected for a round of detailed mapping, focusing on collecting the location and information about every water point, health facility and other community resource in the area. In addition, we led technical skills trainings and mapping events both in Guéckédou and across the region. ALL DATA EXCEPT FOR THE OpenStreetMap EXTRACTS ARE LICENSED AS CC-BY 4.0
  • OCHA Colombia
    Updated January 12, 2017 | Dataset date: Dec 31, 2016
    Base de datos desagregado a nivel municipal,utilizados para la construcción de las fichas de las zonas veredales de transición.
    • XLSX
    • This dataset updates: Every six months
  • International Organization for Migration
    Updated January 12, 2017 | Dataset date: Jan 12, 2017
    Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities for 2014, and estimates deaths over the past 15 years.
  • ACLED Conflict Data Project
    Updated January 10, 2017 | Dataset date: Jan 7, 2017
    ACLED conflict and protest data for African states from 1997 – December 2015 is available in Version 6 of the the ACLED dataset. Realtime data for 2016 is collected and published on a weekly basis, and will continue to be made available through the Climate Change and African Political Stability (CCAPS) website and on this page. Due to the realtime nature of data collection which results in occasional reporting lags, and/or insufficient detail in early event reports for inclusion in the dataset, a small number of events in the 2016 data pre-date this period. These have been coded and published for the first time in 2016 and do not duplicate any events found in the full published dataset. Data files are updated each Monday, containing data from the previous week. The data files below include a single running file for all 2016 data, with monthly files updated on an ongoing basis.
  • This map illustrates satellite-detected damage density in the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 10 May 2015, 13 May 2014, 24 October 2013, and 05 December 2010 UNITAR - UNOSAT identified a total of 3,435 affected structures within the city. Approximately 538 of these were destroyed, 1,153 severely damaged, and 1,744 moderately damaged. While much of the city was damaged by 13 May 2014, 349 structures were newly damaged and 70 structures experienced an increase in damage between that date and 10 May 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 06 April 2015, 02 May 2014, 15 September 2013, and 22 March 2010 UNITAR - UNOSAT identified a total of 545 affected structures within the city. Approximately 176 of these were destroyed, 180 severely damaged, and 189 moderately damaged. While much of the city was damaged by 02 May 2014, 249 structures were newly damaged and 5 structures experienced an increase in damage between that date and 06 April 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 4,673 affected structures within the city. Approximately 802 of these were destroyed, 1,410 severely damaged, and 2,461 moderately damaged. While much of the city was damaged by 10 May 2015, 1,389 structures were newly damaged and 66 structures experienced an increase in damage between that date and 25 May 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • OCHA Haiti
    Updated January 6, 2017 | Dataset date: Dec 28, 2016
    Who is Doing What Where (3W) in the Haiti Hurricane Matthew response.
    • XLSX
    • CSV
    • 30+ Downloads
    • This dataset updates: Every month
  • In 2014, Kenya Red Cross Society with financial and technical support from British Red Cross society started a four year WASH in Kenya project which seeks to improve hygiene and sanitation practices and increase access to improved water and sanitation for 155,000 women, men, girls and boys in Bomet, Taita Taveta and Kilifi Counties.
    • XLSX
    • This dataset updates: Never
  • ACLED Conflict Data Project
    Updated January 6, 2017 | Dataset date: Dec 3, 2016
    ACLED conflict and protest data for African states from 1997 – December 2015 is available in Version 6 of the the ACLED dataset. Realtime data for 2016 is collected and published on a weekly basis, and will continue to be made available through the Climate Change and African Political Stability (CCAPS) website and on this page. Due to the realtime nature of data collection which results in occasional reporting lags, and/or insufficient detail in early event reports for inclusion in the dataset, a small number of events in the 2016 data pre-date this period. These have been coded and published for the first time in 2016 and do not duplicate any events found in the full published dataset. Data files are updated each Monday, containing data from the previous week. The data files below include a single running file for all 2016 data, with monthly files updated on an ongoing basis.
  • Estimation de population en insécurité alimentaire aigue dans la région du Sahel - Cadre Harmonisé, Mars et Novembre 2016.
    • XLSX
    • This dataset updates: Every three months
  • OCHA Colombia
    Updated January 5, 2017 | Dataset date: Jan 1, 2014-Dec 31, 2016
    El HNO hace referencia al Humanitarian Needs Overview o en español un diagnóstico de las necesidades humanitarias. La herramienta adaptada al contexto del país incluye temas de soluciones duraderas, construcción de paz y desarrollo. El HNO analiza las dimensiones humanitarias, describe la situación e identifica las necesidades humanitarias prioritarias. Tiene un enfoque particular en un análisis inter-sectorial de las necesidades, asegurando así mismo un enfoque diferencial de género, edad y pertenencia étnica dentro del análisis y prioridades. Se basa sobre la información derivada de los datos secundarios, evaluaciones multi-sectoriales y sectoriales, información de monitoreo y conocimiento de expertos en las distintas áreas temáticas. El HNO en Colombia involucra actores a nivel nacional y local. Desde el nivel nacional, los clústers incluyen indicadores de fuentes secundarias, mientras que los Equipos Locales de Coordinación hacen un análisis de las necesidades humanitarias, soluciones duraderas y construcción de paz y desarrollo. La Unidad de Manejo y Análisis de Información Colombia (UMAIC) compila los datos de afectación humanitaria, los resultados de los indicadores por sector y las priorizaciones geográficas de los Equipos Locales de Coordinación. Estos últimos fueron el resultado de talleres regionales realizados en el marco de los ELC, que buscaron la identificación de municipios con necesidades humanitarias, oportunidades en soluciones duraderas y dificultades de construcción de paz, todo esto teniendo en cuenta la afectación reciente en los últimos tres años y pensando en perspectivas de la situación en 2017. Entre los resultados de necesidades humanitarias en 2017, presentados en el taller nacional del 04 de octubre, se identificaron 188 municipios, ubicados en quince departamentos, clasificados en categoría alta y media alta, zonas que coinciden con la presencia de los Equipos Locales de Coordinación.
    • XLS
    • This dataset updates: Never
  • OCHA ROWCA
    Updated January 4, 2017 | Dataset date: Mar 11, 2015
    Admin COD datasets for BFA endorsed by RO on October 2015; see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin Level 0 (International), Admin Level 1 (Region), Admin Level 2 (Provinces).
  • Action Contre la Faim Surveillance West Africa
    Updated January 3, 2017 | Dataset date: Oct 1, 1998-Oct 1, 2016
    Biomass Production (expressed in Kilogrammes of dry matter per Hectare) for Admin 2 Level. Source: 10-day images of Dry Matter Productivity (DMP) from Proba V Satellite. Data processed by Flemish Institute of Technology (VITO) through the Copernicus Global Land Service.
  • OCHA ROWCA
    Updated January 3, 2017 | Dataset date: Jul 8, 2012
    First and second administrative boundaries (regions and districts) of the Gambia The dataset displays the first administrative boundaries (divisions) of the Gambia, settlements, transportation and hydrology
  • Nigeria - LGA and Wards data for some of the states.
    • XLS
    • This dataset updates: Never
  • OCHA Haiti
    Updated January 3, 2017 | Dataset date: Oct 19, 2016
    Topline figures dataset for OCHA Haiti organisation page
    • CSV
    • 30+ Downloads
    • This dataset updates: Every week
  • This dataset shows the percentage per population category who are served by community health workers in Kisumu county
    • CSV
    • This dataset updates: Every year
  • Kenya Open Data Initiative
    Updated December 30, 2016 | Dataset date: Oct 30, 2016
    The dataset shows the health infrastructure in Kisumu county as per October 2016
    • CSV
    • This dataset updates: Every year
  • Kenya Open Data Initiative
    Updated December 30, 2016 | Dataset date: Jan 2, 2014-Oct 31, 2016
    A monthly report of Crop Farming in Kisumu County and their status from the year 2014 to 2016.
    • CSV
    • This dataset updates: Every year