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
  • Updated 14 June 2022 | Dataset date: May 06, 2020-October 08, 2021
    This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
    200+ Downloads
    This dataset updates: Every day
  • Updated 1 June 2022 | Dataset date: January 01, 2000-January 13, 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.
    700+ Downloads
    This dataset updates: As needed
  • Updated 31 May 2022 | Dataset date: March 01, 2020-May 22, 2022
    NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
    44000+ Downloads
    This dataset updates: As needed
  • Updated 24 May 2022 | Dataset date: September 01, 2016-April 01, 2018
    More than 200 million businesses use Facebook. Meta partners with various academic and international organizations to survey these businesses throughout the year to learn about their perspectives, challenges and opportunities. With more businesses leveraging online tools each day, these surveys provide a lens into a new mobilized and digital economy. The Future of Business Survey (FoBS) is a collaboration between Meta, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises or Businesses (SMEs/SMBs). The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. The Future of Business Survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. In 2020, the Future of Business Survey shifted to do additional monthly waves with questions focused on business challenges related to COVID-19. Meta also shares information from other SMB surveys, such as those that feed into the Global State of Small Business Reports, which are fielded to active Facebook Page Administrators and the general population of Facebook users. These surveys are conducted in approximately 30 countries across the globe and are also conducted on a roughly bi-annual basis. Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, reduction of employees and challenges/needs of the business. Aggregated country level data is available to the public here for each wave and controlled access microdata is available to Data for Good partners. To request access to survey microdata or to see published Meta reports, please visit: futureofbusinesssurvey.org Update 12/12/21: We have transitioned all small business survey datasets to have survey weights applied. Files with weighted estimates have now replaced the previously posted unweighted estimates. Update 10/4/21: Aggregate data in files [gsosb_2021julyaugust_data_aggregate_weighted.csv] and [gsosb_2021february_data_aggregate_weighted.csv] have been updated to provide weighted results and to correct an error found in those two files. These files were discovered to present results for large businesses rather than small and medium businesses and have been updated to provide the information for the latter group. Downloads of these two files that took place between April 1 and September 30 2021 were affected and analysis using downloads from this period may need to be amended. No analyses or reports published by Facebook were affected. Please contact dataforgood@fb.com for any questions.
    13000+ Downloads
    This dataset updates: As needed
  • Updated 4 May 2022 | Dataset date: October 01, 2021-December 16, 2022
    A comprehensive surveys of existing schools in the Fond-des-Blancs commune and surrounding areas.
    20+ Downloads
    This dataset updates: As needed
  • Updated 4 May 2022 | Dataset date: July 21, 2020-August 10, 2022
    The status of majority of water sources in Fond-des-Blancs, Haiti
    This dataset updates: Every year
  • Updated 26 April 2022 | Dataset date: January 01, 2018-December 31, 2022
    This dataset contains the people in need by department, commune and sector. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
    1200+ Downloads
    This dataset updates: Every year
  • Updated 13 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    Haiti administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
    This dataset updates: As needed
  • Updated 28 March 2022 | Dataset date: March 07, 2022-August 10, 2022
    This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
    100+ Downloads
    This dataset updates: Every six months
  • Updated 22 March 2022 | Dataset date: January 01, 2020-February 28, 2022
    These datasets comprise publicly reported cases of sexual violence by law enforcement bodies, conflict related sexual violence, and sexual violence that targets IDPs / refugees or vulnerable beneficiaries from information available in local, national and international news outlets and online databases. Dataset for South Sudan currently available. Other datasets covering the DRC, Ethiopia, Nigeria and South Sudan will soon be available.
    200+ Downloads
    This dataset updates: As needed
  • Updated 15 March 2022 | Dataset date: September 30, 2021-September 30, 2021
    This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2010 to 2021. PIN figures for 2022 are available in this dataset: Interagency Response Plans in 2022
    700+ Downloads
    This dataset updates: Every year
  • UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Les Anglais Commune, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 3 damaged structures, 41 potentially damaged structures, 4 road obstacles and 8 landslide locations. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Baraderes commune, Nippes department of Haiti as detected by using a satellite image acquired after the earthquake. UNOSAT analysis used a Worldview-3 image acquired on 16 August 2021, and a Resurs-P image acquired on 18 August 2021, as a post-event images. Within the analyzed area, UNOSAT identified 7 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 18 February 2022 | Dataset date: August 18, 2021-August 18, 2021
    UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Nippes department of Haiti as detected by using a satellite image acquired after the earthquake. UNOSAT analysis used a Worldview-2 image acquired on 14 & 16 August 2021, a Worldview-1 image acquired on 15 August 2021, a Worldview-3 image acquired on 16 August 2021, and Pleiades images acquired on 15 & 16 August 2021, as a post-event images. Within the analyzed area, UNOSAT identified 73 damaged structures and 125 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Port-A-Piment and Coteaux Communes, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 41 damaged structures, 72 potentially damaged structures, 5 road obstacles, and 47 landslide locations. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • UNOSAT code: EQ20210814HTI This report describes preliminary building damage analysis covering the departments of South, Grande Anse, and Nippes of Haiti, for a total area of approximately 550 Km2. A building damage analysis and a rapid assessment of transportation network conditions was conducted by comparing a series of satellite imageries acquired from the International Charter Space and Major Disasters, before and after the earthquake. The preliminary analysis extent within South, Grande Anse, and Nippes departments identify a total of 1,842 buildings/structures with visible damages and approximately 130 locations with visible road obstacles and/or access constraints.
    This dataset updates: Never
  • UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Chardonnieres commune, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 27 damaged structures, 107 potentially damaged structures, 9 landslide locations. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
    This dataset updates: Never
  • Updated 16 February 2022 | Dataset date: January 01, 2019-December 31, 2021
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date. All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
    4800+ 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).
    6100+ Downloads
    This dataset updates: As needed
  • Updated 11 February 2022 | Dataset date: April 01, 2021-August 10, 2022
    The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/
    15000+ Downloads
    This dataset updates: As needed
  • Updated 14 January 2022 | Dataset date: September 21, 2020-September 21, 2020
    This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home
    3200+ Downloads
    This dataset updates: Every year
  • Updated Live | Dataset date: January 01, 2017-December 31, 2018
    This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
    60+ Downloads
    This dataset updates: Live
  • Updated 28 December 2021 | Dataset date: July 24, 2019-July 24, 2019
    This dataset shows the list of operating health facilities. Attributes included: Name, Nature of Facility, Activities, Lat, Long
    1000+ Downloads
    This dataset updates: Every year
  • Updated 23 December 2021 | Dataset date: December 09, 2016-October 21, 2021
    This dataset contains the locations of the Helicopter landing sites currently served by UNHAS in Haiti.
    200+ Downloads
    This dataset updates: Every year
  • Updated 15 December 2021 | Dataset date: October 13, 2021-October 13, 2021
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.fb.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
    19000+ Downloads
    This dataset updates: As needed