Key Figures
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  • OCHA FTS
    Updated September 19, 2017 | Dataset date: Sep 19, 2017
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    • CSV
    • 60+ Downloads
    • This dataset updates: Every day
  • Humanitarian OpenStreetMap Team (HOT)
    Updated September 17, 2017 | Dataset date: Sep 17, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Humanitarian OpenStreetMap Team (HOT)
    Updated September 17, 2017 | Dataset date: Sep 17, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Humanitarian OpenStreetMap Team (HOT)
    Updated September 17, 2017 | Dataset date: Sep 17, 2017
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • IFRC
    Updated September 14, 2017 | Dataset date: Sep 11, 2017
    Includes information from several data sources about Damages and needs assessment
    • XLSX
    • This dataset updates: Every day
  • OCHA FISS
    Updated September 13, 2017 | Dataset date: Sep 13, 2017
    This is an excel mapping tool that was built based on Caribbean Islands administrative boundaries (admin0). The Map datasets was coming from GADM, Centre National de l'Information Géo-Spatiale (Haiti) and Oficina Nacional de Estadística (Dominican Republic). The population dataset is a sample data. This tool is made for people in the field with limited access to GIS to quickly map their data.
    • xlsm
    • This dataset updates: Adhoc
  • Population exposure estimates based on tropical cyclone IRMA-17 path observed and predicted at 7 September 2017.
  • This dataset illustrates the tropical cyclone IRMA-17 path with low, medium and strong wind impact zones observed and predicted at 7 September 2017. The tropical cyclone path and wind speed zones were derived from Joint Research Centre data (Warning 33 issued the 07 th September 2017 at 09:00 UTC). This is a preliminary analysis and has not yet been validated in the field.
  • OCHA Haiti
    Updated September 8, 2017 | Dataset date: Mar 1, 2015
    Total population by gender, total population in different geographical units , number of households , area of different geographical units. Pcoded file includes: Estimates at administrative level 3 for: total population, male, female, over 18 yrs, no of households, area in km, density
    • XLSX
    • CSV
    • 600+ Downloads
    • This dataset updates: Never
  • BRC Maps Team
    Updated September 7, 2017 | Dataset date: Sep 7, 2017
    Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017. Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September). Credit - Tropical Storm Risk/UCL
    • GeoJSON
    • This dataset updates: Every year
  • OCHA Haiti
    Updated September 7, 2017 | Dataset date: Sep 6, 2017
    Administrative boundary, administrative level 0 (national), level 1 (department), level 2 (commune), and level 3 (section communale). Notice! The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations. These shapefiles are fully compatible with the population statistics available on HDX. The administrative boundaries for levels 2 and 3 include the 'legacy' codes and names used previously.
  • WorldPop
    Updated September 6, 2017 | Dataset date: Jan 1, 2015
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • Internal Displacement Monitoring Centre (IDMC)
    Updated September 6, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2016
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's data portal.
    • JSON
    • This dataset updates: Every day
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 2011-Dec 31, 2016
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1960-Dec 31, 2016
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • This dataset updates: Every year
  • WFP - World Food Programme
    Updated August 21, 2017 | Dataset date: May 13, 2015
    The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.
    • CSV
    • 200+ Downloads
    • This dataset updates: Every month
  • OCHA Haiti
    Updated August 10, 2017 | Dataset date: Oct 19, 2016
    Topline figures dataset for OCHA Haiti organisation page
    • CSV
    • 60+ Downloads
    • This dataset updates: Every week
  • WFP - World Food Programme
    Updated July 26, 2017 | Dataset date: Jul 24, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 800+ Downloads
    • This dataset updates: Every month
  • This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Every month
  • Internews
    Updated July 5, 2017 | Dataset date: Nov 3, 2016-Jan 23, 2017
    The data was collected in the most affected areas by Internews staff and partners organizations to look at the aftermath of Hurricane Matthew and the perceptions that beneficiaries had of the response overall.
    • XLSX
    • 40+ Downloads
    • This dataset updates: Never
  • HAITI - IOM DTM DATASET Round 25
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • This map illustrates the satellite-detected water extent in Les Cayes and Cavaillon communes in Sud Department (Haiti) located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 26 April 2017 and a Radarsat-2 image acquired on the 17 May 2016 and could observe areas with standing waters mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 718 ha of flooded areas, which cover ~4% of this map's extent of ~20300 ha of land. The increase of waters within the analyzed zone is about 460%. ~155 ha of surface waters were observed the 17 May 2016 and reached ~873 ha the 26 April 2017. About 9km of roads, mainly local roads are potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates the satellite-detected water extent in Cavaillon commune in Sud Department (Haiti) located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 26 April 2017 and a Radarsat-2 image acquired on the 17 May 2016 and could observe areas with standing waters mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 566 ha of flooded areas, which cover 7% of this map's extent of ~8500 ha of land. The increase of waters within the analyzed zone is about 550%. ~100 ha of surface waters were observed the 17 May 2016 and reached ~666 ha the 26 April 2017. About 6km of roads, mainly local roads are potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.