Search for a Dataset - Humanitarian Data Exchange

Lake Chad Basin Baseline Population

100+ Downloads

Time Period of the Dataset [?]: March 19, 2016-March 19, 2016 ... More

This dataset updates: Never

The data contains the latest estimated population of each administrative level 1 unit in the Lake Chad Basin. Estimation is based on input from UNFPA and the most recently available census for each country. Data is encoded as utf-8. The second row of the CSV contains HXL tags.

CSV

Chad - Historical Health Indicators

World Health Organization

10+ Downloads

Time Period of the Dataset [?]: January 01, 1961-December 31, 2025 ... More

This dataset updates: Never

This dataset contains historical data from WHO's data portal.

CSV

Lake Chad Basin Crisis Displaced Persons

OCHA West and Central Africa (ROWCA)

100+ Downloads

Time Period of the Dataset [?]: March 23, 2016-March 23, 2016 ... More

This dataset updates: Never

Displacement figures for the Lake Chad Basin Crisis. Derived from http://ors.ocharowca.info/KeyFigures/KeyFiguresListingPublic.aspx. Data is encoded as utf-8. The second row of the CSV contains HXL tags.

CSV

Daily Summaries of Precipitation Indicators for Chad

HDX

50+ Downloads

Time Period of the Dataset [?]: December 23, 2015-December 23, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: HDX - Daily Summaries of Precipitation Indicators

This dataset contains the daily summaries on base stations across Chad. The four indicators included are: * TPCP: Total precipitation * MXSD: Maximum snow depth * TSNW: Total snow fall * EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.

CSV

Who is Doing What Where in Lake Chad Basin

OCHA West and Central Africa (ROWCA)

100+ Downloads

Time Period of the Dataset [?]: June 01, 2017-June 01, 2017 ... More

This dataset updates: Never

This data is about who is doing what where in response to the Lake Chad Basin crisis.

XLSX

Chad - Demographic, Health, Education and Transport indicators

United Nations Human Settlement Programmes, Data and Analytics Section

70+ Downloads

Time Period of the Dataset [?]: January 01, 1950-December 31, 2050 ... More

This dataset updates: Never

This dataset is part of the data series [?]: United Nations Human Settlement Programmes, Global Urban Observatory - Demographic, Health, Education and Transport indicators

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

CSV

Satellite Detected Surface Waters in D'joumane/Bongor areas, Chad

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: October 10, 2017-October 10, 2017 ... More

This dataset updates: Never

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.

Chad - 2008 administrative boundaries (levels 1, 2 and 4) - Historical data

OCHA Chad

300+ Downloads

Time Period of the Dataset [?]: October 01, 2002-February 29, 2008 ... More

This dataset updates: Never

Historical data from 2008 for regions, departements and cantons for Chad

SHP

Geodata of Sido Refugee Camp, Moyen - Chari Region, Republic of Chad

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: June 03, 2014-June 03, 2014 ... More

This dataset updates: Never

This map illustrates satellite-detected areas of a refugee settlement in Sido village, southern Chad as seen by the WorldView-1 satellite on 29 January 2014. Fleeing outbreaks of violence in the Central African Republic, refugees have established a settlement in a portion of Sido village. Note that the camp occupied areas include 543 improvised shelters and 200 tent shelters approximately. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

SHP

Chad - Socio-economic assessment of refugees in Gozamir and Belom camps 2015

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: October 01, 2014-February 28, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees

In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees, conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.

Web App
PDF

Satellite detected water extents between 30 October and 03 November 2022 over Chad

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 04, 2022-November 04, 2022 ... More

This dataset updates: Never

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).

Geodata of Sido Refugee Camp, Moyen - Chari Region, Republic of Chad

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: June 19, 2014-June 19, 2014 ... More

This dataset updates: Never

This map illustrates satellite-detected areas of likely refugee populations in Sido village, Moyen - Chari Region, Republic of Chad, as seen by the WorldView-1 and WorldView-2 satellites on 29 January 2014 and 13 June 2014. As of 29 January, fleeing outbreaks of violence in the Central African Republic, refugees had established a primary settlement area in the central portion of Sido village and along the primary road. As of that date, the camp included approximately 543 improvised shelters and 200 tent shelters. As of 13 June 2014 approximately 2,731 tent shelters and new housing structures, 798 improvised shelters or small huts, and 1,255 tukuls or large huts were detected within and around Sido village. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

SHP

Satellite detected water extents between 14 and 18 October 2022 over Chad

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: October 20, 2022-October 20, 2022 ... More

This dataset updates: Never

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).

Health boundaries in the health district of Am Timan - CHAD

Medecins Sans Frontieres (inactive)

60+ Downloads

Time Period of the Dataset [?]: May 16, 2019-May 16, 2019 ... More

This dataset updates: Never

The zip file contains Health boundaries - Zones de responsabilité (level 3) for the Health District of Am Timan.

SHP

Satellite detected water extent in N'Djamena and Chari Departments, Chad as...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 01, 2022-November 01, 2022 ... More

This dataset updates: Never

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).

Satellite detected water extent in N'Djamena department, N'Djamena Region,...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: October 21, 2022-October 21, 2022 ... More

This dataset updates: Never

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).

Satellite detected water extent in N'Djamena department, N'Djamena Region,...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: October 25, 2022-October 25, 2022 ... More

This dataset updates: Never

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).

Satellite detected water extent in N'Djamena department, N'Djamena Region,...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: October 27, 2022-October 27, 2022 ... More

This dataset updates: Never

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).

Satellite detected water extent between 30 October 2022 and 31 October 2018...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 03, 2022-November 03, 2022 ... More

This dataset updates: Never

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).

Prevalence of Severe Acute Malnutrition of Sahel

OCHA West and Central Africa (ROWCA)

100+ Downloads

Time Period of the Dataset [?]: September 14, 2015-September 14, 2015 ... More

This dataset updates: Never

The dataset represents the latest Severe Acute Malnutrition Prevalence available for the Sahel nine countries (Burkina Faso, Cameroon, Chad, the Gambia, Mali, Mauritania, Niger, Nigeria, Senegal).

XLSX

Sahel ORS OPS Projects

Sahel ORS (inactive)

100+ Downloads

Time Period of the Dataset [?]: April 14, 2015-April 14, 2015 ... More

This dataset updates: Never

The dataset contains a list of all the projects that were approved in the SRP 2015 via the UNOCHA Online Project System (OPS) for 9 Sahel appeal countries i.e. Burkina Faso, Mauritania, Mali, Niger, Chad, Nigeria, Gambia, Cameroon and Senegal.

CSV
XLSX

Coping Strategy Index (CSI)

WFP - World Food Programme

400+ Downloads

Time Period of the Dataset [?]: May 14, 2015-May 14, 2015 ... More

This dataset updates: Never

The Coping Strategy Index dataset measures the severity and frequency of the strategies that households use to cope with acute food insecurity. The strategies vary from borrowing food or money from neighbors to selling household assets. This data is available for 31 countries at a sub-national level.

CSV

Repository for PDF files

HDX

106000+ Downloads

Time Period of the Dataset [?]: July 01, 2017-September 01, 2024 ... More

This dataset updates: Never

This is a repository for PDF files that are linked on the OCHA Centre for Humanitarian Data's website, https://centre.humdata.org. Please note that if you wish to access these files, we recommend you use the Resources section of the Centre's website rather than downloading from HDX.

PDF
PNG

Food Consumption Score (FCS)

WFP - World Food Programme

900+ Downloads

Time Period of the Dataset [?]: May 13, 2015-May 13, 2015 ... More

This dataset updates: Never

The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.

CSV

Sahel : Humanitarian Needs Overview

OCHA West and Central Africa (ROWCA)

1100+ Downloads

Time Period of the Dataset [?]: September 01, 2016-September 01, 2016 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Humanitarian Needs Overview

This dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners. It covers the period from January to December 2017 and was issued on December 2016.

CSV
XLSX