Chad GIS data
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Spatial distribution of estimated births across Chad at 1km resolution. Each grid cell shows the estimated number of live births. Use this layer for maternal health planning, antenatal care facility siting, health resource allocation, and reproductive health programme design.
A 1-kilometer resolution raster of population density for Chad for 2020. Each cell value represents population density. Published by Orion Terrametrics.
Road line features in Chad, with attributes such as surface type, smoothness, and predicted surface class. Each feature represents a road segment. Published by Orion Terrametrics.
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Chad Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2014
Point locations of health facilities in Chad including hospitals, health centres, clinics, dispensaries and health posts. Each feature records the facility name, type and ownership. Use this layer to map healthcare coverage, identify service gaps, plan facility distribution, and support health sector analysis.
Spatial distribution of estimated pregnancies across Chad at 1km resolution. Each grid cell shows the estimated number of pregnancies including live births, stillbirths and abortions. Use this layer for maternal health planning, antenatal care programme design, health facility placement, and reproductive health analysis.
A 100-meter resolution raster of population counts for Chad for 2015. Each cell value represents the number of people. Published by Orion Terrametrics.
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Chad Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2017
Retirement Notice: This item is in mature support as of October 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Chad Department Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2023. Other administrative boundaries for this country are also available: Country Province
GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.
Historical data from 2008 for regions, departements and cantons for Chad
Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.
Geodatabase with GIS data and statistics data for Chad including boundaries, transportation, hydrology, health facilities, population data...
Ce jeu de données représente les sites fournis par OIM, UNHCR et les ONG qui font des évaluations multi-sectorielles sur le terrain Compilation des données de 2016 à aujourd'hui
Liste of health facilities (Hospitals, health center...) from the ministry of health
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 by Information Technology Outreach Services (ITOS) with funding from USAID.
**UNOSAT code FL20221019TCD** This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a Sentinel-2 image acquired on 20 October 2022 at 10:20 local time. Within the map extent of about 100 km2, about 42 km2 of lands appear to be flooded and 5,408 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 160,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20221019TCD** This map illustrates satellite-detected surface waters in Hadjer-Lamis & Lac Regions, Chad as observed from a Sentinel-2 acquired on 30 October 2022 at 10:37 local time. Within the cloud free analyzed area of about 17,000 km2, the surface waters appears to have increased of about 700 km2 since 31 October 2018. Based on Worldpop population data and the detected surface waters, the potentially exposed population is mainly located in Mamdi Department with ~28,000 people, Haraze-Al-Biar Department with ~9,700 people and Wayi department with ~9,300 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20221019TCD** This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a WorldView-2 image acquired on 24 October 2022 at 10:38 local time. Within the analyzed area of about 300 km2, about 38 km2 of lands appear to be flooded and 14,799 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 154,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20221019TCD** This map illustrates cumulative satellite-detected water using VIIRS in Chad between 30 October to 03 November 2022 compared with the period from 14 to 18 October 2022. Within the cloud free analysed areas of about 1,200,000 km², a total of about 18,000 km² of land appears to be affected. Water extent appears to have decreased of about 6,300 km² since the period between 14 to 18 October 2022. Based on Worldpop population data and the maximal flood water extent ~1 million people are potentially exposed or living close to flooded areas amongst the 16.5 million people living in the analysed zone. 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).
**UNOSAT code FL20221019TCD** This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a Pleiades image acquired on 21 October 2022 at 10:35 local time. Within the analyzed area of about 500 km2, about 68 km2 of lands appear to be flooded and 13,323 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 228,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
**UNOSAT code FL20221019TCD** This map illustrates satellite-detected surface waters in N'Djamena and Chari Departments, Chad as observed from a Kanopus-V image acquired on 30 October 2022 at 11:26 local time. Within the analyzed area of about 570 km2, about 110 km2 of lands appear to be flooded and 19,465 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 284,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20221019TCD** This map illustrates cumulative satellite-detected water using VIIRS in Chad between 14 to 18 October 2022. Within the cloud free analysed areas of about 1,200,000 km², a total of about 24,300 km² of land appears to be affected. Based on Worldpop population data and the maximal flood water extent ~1.4 million people are potentially exposed or living close to flooded areas amongst the 16.5 million people living in the analysed zone. 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 contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
**UNOSAT code: FL20190827TCD** Cette carte illustre l'étendue des eaux de surface détectées par satellite (Landsat 8, image comprenant des données du 23 au 27 Août 2019) à Fada et alentours. Dans la zone analysée d'environs 20,000 ha,quelques centaines de personnes vivent en proximité des1,500 ha d'eau de surface détectées entre le 23 et le 27 Août2019. Ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires à UNITAR-UNOSAT.
This map illustrates the satellite-detected surface water extent over D’joumane/Bongor and surroundings in Chad along the Logone River as observed from the Radarsat-2 SAR image acquired on 5 October 2017. The analysis of the image indicate that localized standing flood water with very little impact on population and agriculture area. Within the analyzed area (11,680 km2), 15,331 ha of surface water extent was observed of which 6667 ha in Chad and 8664 ha in Cameroon. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
**UNOSAT code: FL20240820TCD** This map illustrates cumulative satellite-detected water using VIIRS in Chad between 15 to 19 August 2024. Within the cloud free analysed areas of about 1,200,000 km², a total of about 19,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximal flood water extent ~700,000 people are potentially exposed or living close to flooded areas. 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).
**UNOSAT code: FL20240820TCD** This map illustrates cumulative satellite-detected water using VIIRS in Chad between 20 to 24 August 2024. Within the cloud free analysed areas of about 1,200,000 km², a total of about 18,900 km² of lands appear to be affected with flood waters. Maximum flood water extent has remained relatively stable, with a decrease of about 500 km² since the period between 15 to 19 August 2024. Based on Worldpop population data and the maximum flood water extent, ~170,000 people in Mayo-Kebbi Est Department, ~160,000 people in Logone Oriental Department and ~120,000 people in Tandjilé 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).
**UNOSAT code: FL20240820TCD** This map illustrates satellite-detected water extent in N'Djamena city, N'Djamena Department, Chad as observed from a PlanetScope satellite image acquired on 26 August 2024. Within the analysed area of about 440 km², a total of about 50km² of lands appear to be affected by flood waters. Within the analysed area approximately 7,900 buildings (<3%) in Chad are affected by the floodwaters. 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).
**UNOSAT code: FL20240820TCD, GDACS ID: 1102854** This map illustrates satellite-detected water extent in Bongor City, Mayo-Boneye Department, Mayo-Kebbi Est Region, Chad as observed from a PlanetScope satellite image acquired on 26 August 2024. Within the analysed area of about 70 km², a total of about 20km² of lands appear to be affected by flood waters. Within the analysed area approximately 1,600 buildings (<30%) in Chad are affected by the floodwaters. 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).
**UNOSAT code: FL20240820TCD** This map illustrates cumulative satellite-detected water using VIIRS in Chad between 31 August to 04 September 2024. Within the cloud free analysed areas of about 900,000 km², a total of about 22,800 km² of lands appear to be affected with flood waters. Maximum flood water extent appears to have increased of about 3,900 km² since the period between 20 to 24 August 2024. Based on Worldpop population data and the maximum flood water extent, about 820,000 people are potentially exposed or living close to flooded areas. Amongst which ~145,000 people in Logone Oriental Region and ~90,000 people in Mayo-Kebbi Est Region. 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).
**UNOSAT code: FL20240820TCD, GDACS ID: 1102854** This map illustrates satellite-detected water extent in Koukou Angarana City, Kimiti Department, Sila Region, Chad as observed from a Pleiades satellite image acquired on 2 and 3 September 2024. Within the analysed cloud free area of about 115 km², a total of about 62 km² of lands appear to be affected by flood waters. Within the analysed area approximately 990 buildings (70%) in Chad are affected by the floodwaters. 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).