Chad

Data Grid Completeness
65% 
13/20 Core Data 19 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.
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
Affected People
4 Datasets
75%  25% 
Internally-Displaced Persons
Refugees & Persons of Concern
Humanitarian Needs
Coordination & Context
4 Datasets
60%  20%  20% 
3w - Who is doing what where
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Climate Impact
Food Security & Nutrition
3 Datasets
100% 
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
50%  50% 
Administrative Divisions
Roads
OCHA Chad
Airports
Health & Education
2 Datasets
100% 
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 400+ Downloads
    Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More
    Modified [?]: 4 September 2020
    Dataset Added on HDX [?]: 26 May 2020
    This dataset updates: As needed
    The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 22 July 2020
    This dataset updates: Every two weeks
    This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed
  • 100+ Downloads
    Time Period of the Dataset [?]: May 01, 2015-November 01, 2015 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 24 November 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 6 May 2020
    Confirmed [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: Every year
    This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.
  • 300+ Downloads
    Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
  • 300+ Downloads
    Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: As needed
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
  • 10+ Downloads
    Time Period of the Dataset [?]: December 18, 2018-February 15, 2019 ... More
    Modified [?]: 4 May 2020
    Dataset Added on HDX [?]: 4 July 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The United Nations High Commissioner for Refugees (UNHCR) carried out from December 2018 to February 2019, a Standardized Expanded Nutrition Survey (SENS) in refugee camps Central Africans and Nigerians and host villages in southern Chad and the province of Lake Chad. This survey was done in collaboration with its partners, namely UNICEF, WFP, ADES and IRC, The main objective of this study was to assess the nutritional and general health status of refugees and host populations in order to formulate realistic and adequate recommendations for nutrition and public health interventions. It also aims to make a comparison of the indicators of the camps and those of their hosts. This survey includes three modules: food & security (3233 observations), women's nutrition and health (3850 observations) and children's nutrition and health (6920 observations).
  • 200+ Downloads
    Time Period of the Dataset [?]: March 11, 2020-March 11, 2020 ... More
    Modified [?]: 16 March 2020
    Confirmed [?]: 5 January 2024
    Dataset Added on HDX [?]: 13 March 2020
    This dataset updates: Every year
    Ce jeu de données est une fusion des données routes de OSM et du Ministère des transports du Tchad.
  • COD 400+ Downloads
    Time Period of the Dataset [?]: March 11, 2020-March 11, 2020 ... More
    Modified [?]: 16 March 2020
    Confirmed [?]: 5 January 2024
    Dataset Added on HDX [?]: 16 March 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    The dataset shows village locations in Chad.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-January 22, 2020 ... More
    Modified [?]: 30 January 2020
    Dataset Added on HDX [?]: 30 January 2020
    This dataset updates: As needed
    WCA Agencies location
  • 20+ Downloads
    Time Period of the Dataset [?]: June 17, 2017-August 04, 2017 ... More
    Modified [?]: 16 January 2020
    Dataset Added on HDX [?]: 4 July 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    The long-term presence of refugees in Chad and the reduction in funding to provide assistance in recent years have led the humanitarian community to reconsider the approach to assistance of these populations. WFP and UNHCR, the Government's main partners in providing assistance to refugees, had conducted a "socio-economic categorization" in 2014 and 2015 in some refugee camps, and an update was decided for 2017. This update was designed to go beyond a simple categorization and focuses on identifying profiles of refugee households that can be empowered in the short to medium term and the factors that can foster this empowerment. The assessment covers 87,724 refugee households in Chad and was carried out during June-August 2017.
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 19 December 2019
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    Since 2014, UNHCR has undertaken a comprehensive revision of the framework for monitoring UNHCR Livelihoods and Economic Inclusion programs. Since 2017, mobile data collection (survey) tools have been rolled out globally, including in Chad. The participating operations conducted a household survey to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline (331 observations) and endline data (308 observations) from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact.
  • 100+ Downloads
    Time Period of the Dataset [?]: October 02, 2019-November 12, 2019 ... More
    Modified [?]: 27 November 2019
    Confirmed [?]: 17 November 2021
    Dataset Added on HDX [?]: 24 June 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Baseline Assessment
    The dataset contains number and needs of returnees in Logone Oriental province. This assessment identified 31,994 returned individuals (7,051 households). The results indicate that half of the returnees live in five sites, including Danamadja and Kobiteye in the city of Goré, which alone account for 27 and 20 percent of the returnees that the province hosts, respectively.
  • 100+ Downloads
    Time Period of the Dataset [?]: October 02, 2019-November 13, 2019 ... More
    Modified [?]: 27 November 2019
    Confirmed [?]: 17 November 2021
    Dataset Added on HDX [?]: 5 September 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Baseline Assessment
    Dataset contains number of returnees at sub national level in Moyen Chari region.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 November 2018
    This dataset updates: Every year
    This dataset contains many indicators related to population and migration such as Average annual population growth rate, Population 15-19 , Annual rate of change of the migrant stock, International migrant stock at mid-year, etc. The whole list and their description can be find in this link https://bit.ly/2ODhFQh
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 November 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: United Nations Economic Commission for Africa - Health indicators
    This dataset contains many health indicators such as Infant mortality rate, Proportion of population with advanced HIV infection with access to antiretroviral drugs, Death rate associated with malaria per 100,000 population, Tuberculosis prevalence rate per 100,000 population, etc. The whole list and their description can be find in this link https://bit.ly/2NZBRH3
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 November 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: United Nations Economic Commission for Africa - Education indicators
    This dataset contains many indicators in education such as as Net enrolment rate in primary education, Ratio of girls to boys in primary education, etc. The whole list and their description can be find in this link https://bit.ly/2NWP6Z1
  • 100+ Downloads
    Time Period of the Dataset [?]: October 01, 2019-October 01, 2019 ... More
    Modified [?]: 6 November 2019
    Dataset Added on HDX [?]: 6 November 2019
    This dataset updates: Every year
    Biomass Production (in tonnes) for Admin 2 Level. Source: 10-day images of Dry Matter Productivity (DMP) from Proba V Satellite. Data processed by Flemish Institute of Technology (VITO) through the Copernicus Global Land Service.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2008-March 28, 2024 ... More
    Modified [?]: 1 November 2019
    Dataset Added on HDX [?]: 28 April 2014
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
    List of airports in Chad, with latitude and longitude. Unverified community data from http://ourairports.com/countries/TD/
  • 100+ Downloads
    Time Period of the Dataset [?]: August 01, 2019-October 01, 2019 ... More
    Modified [?]: 20 October 2019
    Confirmed [?]: 21 November 2019
    Dataset Added on HDX [?]: 20 October 2019
    This dataset updates: Every three months
    These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on the sigsahel.info platform and maps available on a mapping platform : geosahel.info. These dataset are the summary of the data collected by sentinel sites during August and September 2019.
  • 200+ Downloads
    Time Period of the Dataset [?]: July 10, 2019-July 10, 2019 ... More
    Modified [?]: 2 August 2019
    Dataset Added on HDX [?]: 22 July 2019
    This dataset updates: As needed
    This data is about the displacements, the food insecurity in the Lake Chad Basin and also the current funding status.
  • 300+ Downloads
    Time Period of the Dataset [?]: September 12, 2018-September 12, 2018 ... More
    Modified [?]: 18 July 2019
    Dataset Added on HDX [?]: 21 August 2017
    This dataset updates: Every year
    The Index for Risk Management INFORM is a composite indicator developed by JRC as a tool for understanding the risk of humanitarian crisis and disasters.
  • 80+ Downloads
    Time Period of the Dataset [?]: November 25, 2018-November 25, 2018 ... More
    Modified [?]: 5 April 2019
    Dataset Added on HDX [?]: 4 January 2019
    This dataset updates: Never
    Ce jeu de données porte sur la réponse de la FAO REOWA à la crise pastorale dans le Sahel.
  • 600+ Downloads
    Time Period of the Dataset [?]: February 05, 2018-February 05, 2018 ... More
    Modified [?]: 16 March 2019
    Dataset Added on HDX [?]: 12 October 2016
    This dataset updates: Never
    The AFDB Statistical Data Portal has been developed in response to the increasing demand for statistical data and indicators relating to African Countries. The Portal provides multiple customized tools to gather indicators, analyze them, and export them into multiple formats. With the Data Portal, you can visualize Socio-Economic indicators over a period of time, gain access to presentation-ready graphics and perform comprehensive analysis on a Country and Regional level