Haiti

Data Grid Completeness Expand
Affected People
3 Datasets
75%  25% 
Coordination & Context
5 Datasets
40%  40%  19% 
Food Security & Nutrition
3 Datasets
100% 
Geography & Infrastructure
4 Datasets
75%  25% 
Health & Education
1 Datasets
50%  50% 
Population & Socio-economy
2 Datasets
100% 
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
Legend:
Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
  • 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.
    10+ Downloads
    This dataset updates: Never
  • 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.
    10+ Downloads
    This dataset updates: Never
  • Updated 3 May 2017 | Dataset date: November 03, 2016-January 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.
    1100+ Downloads
    This dataset updates: Never
  • Updated 12 April 2017 | Dataset date: March 02, 2016-March 02, 2016
    Who is Doing What Where (3W) in the Haiti Hurricane Matthew response.
    900+ Downloads
    This dataset updates: Every month
  • Partial Assessment and 3W matrix ,Hurricane Matthew. as of 07.10.2016
    400+ Downloads
    This dataset updates: Never
  • Updated 14 December 2016 | Dataset date: September 13, 2016-September 13, 2016
    This data is a global overview on Zika Virus.
    1200+ Downloads
    This dataset updates: Every two weeks
  • This report describes preliminary building damage analysis carried out by UNITAR-UNOSAT covering Area 1 (Jeremie and Roseaux Commune), Area 2 (Abricot, Dame-Marie, Anse d'Hainaults and Les Irois Communes), Area 3 (Corail, Pestel, Beaumont and Roseaux Communes), and Area 4 (Tiburon Commune) for a total area of approximately 1,200 Km2. Building damage analysis, including a rapid assessment of transportation network conditions and locations of spontaneous people gathering sites, was conducted by comparing the post-disaster satellite images (Pleiades acquired on 7/10/2016 for AOI1, Pleiades acquired on 12/10/2016 for AOI2, Pleiades acquired on 09/11/2016 for AOI3 and Worldview-2 acquired on 9/10/2016 & 17/10/2016 for AOI4) with available pre-disaster images (WorldView-1 on 08/12/2014, 01/05/2015, 09/05/2015 and 16/06/2015; Worldview-2 on 17/07/2016, 28/11/2014 and 14/06/2015 and Worldview-3 on 17/10/2015). UNOSAT's preliminary analysis shows a total of 40,696 buildings/structures with visible damages and approximately 508 locations with visible road obstacles and/or access constraints. In addition, 1,497 temporary people gathering sites have been identified within the analysed areas (Area 1, Area 2, Area 3 and Area 4).
    30+ Downloads
    This dataset updates: Never
  • Updated 25 November 2016 | Dataset date: November 22, 2016-November 22, 2016
    Estimated population movement in Haiti as of 22 November 2016. The estimated distribution of people for whom their home Commune/Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 22 November had moved to another Commune/Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and in the week up to 22 November 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
    600+ Downloads
    This dataset updates: Never
  • Updated 21 November 2016 | Dataset date: November 08, 2016-November 08, 2016
    Estimated population movement in Haiti as of 8 November 2016. The estimated distribution of people for whom their home Commune/Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 8 November had moved to another Commune/Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and in the week up to 8 November 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
    500+ Downloads
    This dataset updates: Never
  • Updated 4 November 2016 | Dataset date: October 24, 2016-October 24, 2016
    Summary of estimated population movement in Haiti as of 24 October 2016. The estimated distribution of people for whom their home Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 24 October had moved to another Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and on 24 October 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
    1100+ Downloads
    This dataset updates: Never
  • Updated 31 October 2016 | Dataset date: October 27, 2016-October 27, 2016
    This map illustrates potentially damaged satellite-detected areas and related damage density in the southwestern part of Haiti in Sud Department, Haiti. The UNITAR-UNOSAT analysis used WorldView-2 satellite imagery acquired on the 9 and 17 October 2016. The UNITAR-UNOSAT analysis, identified 3,678 potentially damaged structures within this map extent. Additionally, 87 road obstacles and 131 population gathering sites within this area were identified in the analysis. Please note that some areas were cloud covered and could not be analysed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • Updated 31 October 2016 | Dataset date: October 27, 2016-October 27, 2016
    This map illustrates satellite-detected potentially damaged buildings in Tiburon town, Sud department, Haiti. The UNITAR-UNOSAT analysis used a WorldView-2 satellite image acquired on the 17 July 2016 as a pre-image and a Worldview- 2 satellite image acquired on the 17 October 2016 as a post-image. The UNITAR-UNOSAT analysis identified 648 potentially damaged structures within the map extent of which 611 were identified inside the town of Tiburon. The depiction and use of town boundaries acquired from Wikimapia, are not warranted to be error- free nor do they imply official endorsement or acceptance by the United Nations. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This report describes preliminary building damage analysis carried out by UNITAR-UNOSAT covering Area 1 (Jeremie and Roseaux Commune) and Area 2 (Abricot, Dame-Marie, Anse d’Hainaults and Les Irois Communes) for a total area of approximately 650 Km2. Building damage analysis, including a rapid assessment of transportation network conditions and locations of spontaneous people gathering sites, was conducted by comparing the post-disaster satellite images (Pleiades acquired on 7/10/2016 for AOI1 and 12/10/2016 for AOI2) with available pre-disaster images (WorldView-1 on 01/05/2015, 09/05/2015 and 08/12/2014; Worldview-2 on 17 July 2016).
    10+ Downloads
    This dataset updates: Never
  • This map illustrates potentially damaged satellite-detected areas, related damage density and the identified road obstacles in the southwestern part of Haiti in Grande Anse and Sud departments, Haiti. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on the 12 October 2016. The UNITAR-UNOSAT analysis combined with Copernicus analysis, identified 9,173 potentially damaged structures within this map extent. Additionally, 123 road obstacles and 255 population gathering sites within this area were identified in the analysis. Please note that some areas were cloud covered and could not be analysed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    20+ Downloads
    This dataset updates: Never
  • This report highlights the preliminary building damage analysis including a rapid assessment of transportation network conditions and locations of spontaneous people gathering sites covering Jérémie Commune and surrounding areas.The analysis was conducted by comparing the post-disaster satellite images (Pleiades acquired on 7/10/2016) with available pre-disaster images (WorldView-1 on 01/05/2015 and 08/12/2014).
    20+ Downloads
    This dataset updates: Never
  • Updated 31 October 2016 | Dataset date: October 14, 2016-October 14, 2016
    This map illustrates satellite-detected areas potentially damaged and related density and the identified road obstacles in Jérémie city and surrounding areas in Grande Anse department, Haiti. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on the 07 October 2016 and Worldview-1 image acquired on 01 May 2015 and 08 December 2014. The UNITAR-UNOSAT analysis in the outskirts of Jeremie combined with Copernicus analysis in Jeremie city, identified 13,013 potentially damaged structures within this map extent. The UNITAR-UNOSAT analysis identified 134 road obstacles and 800 population gathering sites within the map extent.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    This dataset updates: Never
  • Updated 31 October 2016 | Dataset date: October 25, 2016-October 25, 2016
    Summary of Digicel Haiti mobile network functionality as of 25th October 2016. Proportion of Digicel Haiti network (radio cells) with normal function per commune (admin level 2) as of 25th October 2016. French version provided.
    600+ Downloads
    This dataset updates: Never
  • Partial Assessment and 4W matrix ,Hurricane Matthew. as of 18.10.2016
    300+ Downloads
    This dataset updates: Never
  • Updated 16 October 2016 | Dataset date: October 15, 2016-October 15, 2016
    Summary of Digicel Haiti mobile network functionality as of 15th October 2016. Proportion of Digicel Haiti network (radio cells) with normal function per commune (admin level 2) as of 15th October 2016. French version provided.
    1000+ Downloads
    This dataset updates: Never
  • Updated 14 October 2016 | Dataset date: October 13, 2016-October 13, 2016
    400+ Downloads
    This dataset updates: Never
  • Partial Assessment and 4W matrix ,Hurricane Matthew. as of 13.10.2016
    300+ Downloads
    This dataset updates: Every day
  • Partial Assessment and 4W matrix ,Hurricane Matthew. as of 12.10.2016
    700+ Downloads
    This dataset updates: Never
  • Partial Assessment and 4W matrix ,Hurricane Matthew. as of 11.10.2016
    200+ Downloads
    This dataset updates: Every day
  • Partial Assessment and 4W matrix ,Hurricane Matthew. as of 09.10.2016
    1000+ Downloads
    This dataset updates: Every day
  • Updated 7 October 2016 | Dataset date: October 06, 2016-October 06, 2016
    Tropical Storm Risk - University College London - gust footprint for Matthew in kml format. If you zoom in (using Google Earth) the footprint shows the towns and villages in western Haiti which UCL model predicts will be worst affected by wind damage (with peak gusts of 160 mph (260 kmph)).
    800+ Downloads
    This dataset updates: Never