Data Grid Completeness
70% 
14/20 Core Data 18 Datasets 11 Organisations Show legend
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
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Affected People
3 Datasets
75%  25% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
Returnees
Humanitarian Needs
Coordination & Context
5 Datasets
40%  40%  19% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Climatic Hazards
Food Security & Nutrition
3 Datasets
100% 
Food security
Integrated Food Security Phase Classification (IPC)
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
75%  25% 
Administrative Divisions
Populated Places
OCHA Field Information Services Section (FISS)
Roads
Airports
WFP - World Food Programme
Health & Education
1 Datasets
50%  50% 
Education Facilities
Population & Socio-economy
2 Datasets
100% 
Baseline Population
OCHA Field Information Services Section (FISS)
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 100+ Downloads
    Updated 16 August 2022 | Dataset date: July 30, 2022-September 28, 2022
    This dataset updates: Every six months
    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
  • 8700+ Downloads
    Updated 23 July 2022 | Dataset date: January 01, 2016-December 31, 2021
    This dataset updates: As needed
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
  • 1400+ Downloads
    Updated 18 July 2022 | Dataset date: January 01, 2012-December 31, 2021
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 80+ Downloads
    Updated 12 July 2022 | Dataset date: January 01, 1909-June 23, 2022
    This dataset updates: As needed
    Haiti natural disaster incidents dating from 1909 up to 2022.
  • 70+ Downloads
    Updated 12 July 2022 | Dataset date: June 30, 2022-June 30, 2022
    This dataset updates: As needed
    Number of people in Haiti with access to water, at admin 2 level.
  • 1700+ Downloads
    Updated 6 July 2022 | Dataset date: March 26, 2020-June 24, 2022
    This dataset updates: Every six months
    The Who Does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in Haiti at admin2 level by cluster.
  • Updated 30 June 2022 | Dataset date: June 30, 2022-June 30, 2022
    This dataset updates: As needed
    Haiti population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand (LINZ Data Service) NZ Building Outlines and OpenStreetMap data. Gobal version of population dataset: Kontur Population: Global Population Density for 400m H3 Hexagons
  • 800+ Downloads
    Updated 28 June 2022 | Dataset date: February 17, 2021-March 03, 2021
    This dataset updates: Every year
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
  • 30+ Downloads
    Updated 22 June 2022 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    This GeoTIFF file contains 12 bands presenting the school age population for Haiti in 2020. It was constructed using constrained UN-adjusted spatialized age and sex population estimates for 2020 by WorldPop, by applying the methodology published by IIEP-UNESCO (2021). The bands contain information for Female, Male, and Total, for Pre-primary, Primary, Lower Secondary, and Upper secondary, reconstructed from single years of age using ISCED information on starting age and duration included in UIS. The correspondence is included below: Band 1: Pre-primary Female Band 2: Pre-primary Male Band 3: Pre-primary Total Band 4: Primary Female Band 5: Primary Male Band 6: Primary Total Band 7: Lower secondary Female Band 8: Lower secondary Male Band 9: Lower secondary Total Band 10: Upper secondary Female Band 11: Upper secondary Male Band 12: Upper secondary Total The boundaries used for the clipping of the resulting calculations came from the United Nations Second Administrative Level Boundary program. Disclaimer: The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNESCO or IIEP concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. UNESCO or IIEP are not responsible for the use given to this information.
  • 800+ Downloads
    Updated 19 June 2022 | Dataset date: January 01, 2008-December 31, 2021
    This dataset updates: Every year
    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. "People Displaced" refers to the number of people living in displacement as of the end of each year. "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. Contains data from IDMC's Global Internal Displacement Database.
  • 200+ Downloads
    Updated 14 June 2022 | Dataset date: May 06, 2020-October 08, 2021
    This dataset updates: Every day
    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.
  • 48000+ Downloads
    Updated 31 May 2022 | Dataset date: March 01, 2020-May 22, 2022
    This dataset updates: As needed
    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/
  • 15000+ Downloads
    Updated 24 May 2022 | Dataset date: September 01, 2016-April 01, 2018
    This dataset updates: As needed
    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.
  • 60+ Downloads
    Updated 4 May 2022 | Dataset date: October 01, 2021-December 16, 2022
    This dataset updates: As needed
    A comprehensive surveys of existing schools in the Fond-des-Blancs commune and surrounding areas.
  • 10+ Downloads
    Updated 4 May 2022 | Dataset date: July 21, 2020-September 28, 2022
    This dataset updates: Every year
    The status of majority of water sources in Fond-des-Blancs, Haiti
  • 1300+ Downloads
    Updated 26 April 2022 | Dataset date: January 01, 2018-December 31, 2022
    This dataset updates: Every year
    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.
  • Updated 13 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: As needed
    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
  • 400+ Downloads
    Updated 22 March 2022 | Dataset date: January 01, 2020-February 28, 2022
    This dataset updates: As needed
    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.
  • 700+ Downloads
    Updated 15 March 2022 | Dataset date: September 30, 2021-September 30, 2021
    This dataset updates: Every year
    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
  • Updated 18 February 2022 | Dataset date: September 02, 2021-September 02, 2021
    This dataset updates: Never
    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).
  • Updated 18 February 2022 | Dataset date: August 19, 2021-August 19, 2021
    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).
  • Updated 18 February 2022 | Dataset date: August 18, 2021-August 18, 2021
    This dataset updates: Never
    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).
  • Updated 18 February 2022 | Dataset date: September 02, 2021-September 02, 2021
    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).
  • Updated 18 February 2022 | Dataset date: August 27, 2021-August 27, 2021
    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.
  • Updated 18 February 2022 | Dataset date: September 02, 2021-September 02, 2021
    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).