Chad

Data Grid Completeness
85% 
17/20 Core Data 21 Datasets 12 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.
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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
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Affected People
4 Datasets
100% 
Coordination & Context
6 Datasets
60%  40% 
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% 
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
100% 
Administrative Divisions
Populated Places
Roads
OCHA Chad
Airports
Health & Education
2 Datasets
50%  50% 
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 1200+ Downloads
    Updated Live | Dataset date: December 14, 2020-August 02, 2022
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 3400+ Downloads
    Updated 22 June 2022 | Dataset date: August 21, 2017-December 27, 2021
    This dataset updates: Every year
    A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
  • 900+ 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.
  • 2600+ Downloads
    Updated 17 June 2022 | Dataset date: June 01, 2019-June 15, 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 Chad at admin1 (region) level by cluster.
  • 30+ Downloads
    Updated 17 June 2022 | Dataset date: June 17, 2022-August 13, 2022
    This dataset updates: Every year
    Chad administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice. COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats. These layers are suitable for database or GIS linkage to the Chad - Subnational Population Statistics tables. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
  • 30+ Downloads
    Updated 10 June 2022 | Dataset date: June 10, 2022-December 10, 2022
    This dataset updates: Every six months
    2022 HPC - Child protection organization response activities
  • 44000+ 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/
  • 7200+ Downloads
    Updated 15 May 2022 | Dataset date: January 01, 2014-August 13, 2022
    This dataset updates: Every year
    The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition. (Refer to the documents linked as showcases for more information).
  • 2000+ Downloads
    Updated 10 May 2022 | Dataset date: January 01, 2016-December 31, 2022
    This dataset updates: Every year
    This data is a snapshot of the humanitarian situation in Chad. The data includes the targets that the humanitarian community will use in planning its response.
  • 900+ Downloads
    Updated 27 April 2022 | Dataset date: January 01, 1999-December 31, 2021
    This dataset updates: Every year
    Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA Productions annuelles de biomasse et anomalies en Afrique de l'Ouest de 1999 à 2021 : version raster Production annuelle de biomasse et anomalies extraites du DMP et calculées par BioGenerator Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne. Le produit est basé sur les données de PROBA-V (©) et SPOT-VEGETATION (©) ESA
  • Updated 12 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: As needed
    Chad 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
  • 100+ Downloads
    Updated 28 March 2022 | Dataset date: March 07, 2022-August 13, 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
  • 200+ 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
  • 4800+ Downloads
    Updated 16 February 2022 | Dataset date: January 01, 2019-December 31, 2021
    This dataset updates: As needed
    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.
  • 6100+ Downloads
    Updated 15 February 2022 | Dataset date: January 01, 2017-December 31, 2021
    This dataset updates: As needed
    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).
  • 15000+ Downloads
    Updated 11 February 2022 | Dataset date: April 01, 2021-August 13, 2022
    This dataset updates: As needed
    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/
  • Updated 31 January 2022 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    UNHCR as lead of the Protection Cluster regularly collect data on protection incidents in the Lake Province of Chad in partnership with the Chadian Red Cross (Croix Rouge du Tchad, CRT) and international NGOs Cooperazione Internazionale (COOPI) and OXFAM. Data is collected through key informants and/or during field visits. This dataset includes the incidents such as theft / looting, physical assault, kidnapping, hoomicide, bad treatment and destruction / extortion of property collected from January to December 2020. Data were collected from key informants. More information on the exercise can be found at: https://www.globalprotectioncluster.org/field-support/field-protection-clusters/chad/.
  • 40+ Downloads
    Updated 27 January 2022 | Dataset date: January 27, 2022-August 13, 2022
    This dataset updates: As needed
    SHP file of market in CHAD
  • 3200+ Downloads
    Updated 14 January 2022 | Dataset date: September 21, 2020-September 21, 2020
    This dataset updates: Every year
    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
  • 40+ Downloads
    Updated Live | Dataset date: January 01, 2017-December 31, 2019
    This dataset updates: Live
    This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. 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.
  • 10000+ Downloads
    Updated 31 December 2021 | Dataset date: July 01, 2021-August 13, 2022
    This dataset updates: Every year
    West and Central Africa Administrative boundaries, administrative level 0 to 2. Notice: The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations. West and Central Africa settlements with administrative capitals
  • 800+ Downloads
    Updated 28 December 2021 | Dataset date: January 01, 2012-March 29, 2021
    This dataset updates: Every year
    This data is about the refugees, IDPs, and returnees in the Sahel from 2012 till March 2021.
  • 50+ Downloads
    Updated 28 December 2021 | Dataset date: April 30, 2021-April 30, 2021
    This dataset updates: Every year
    This data is about Global Acute Malnutrition (GAM), Moderate Acute Malnutrition (MAM), and Severe Acute Malnutrition (SAM) at administrative division 1 level in Chad.
  • 30+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 13, 2022
    This dataset updates: As needed
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Chad Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-1ma4-hp72 . Accessed DAY MONTH YEAR.