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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  • 200+ Downloads
    Time Period of the Dataset [?]: July 15, 2022-November 23, 2022 ... More
    Modified [?]: 30 November 2022
    Dataset Added on HDX [?]: 10 August 2022
    This dataset updates: Every year
    Ce tableau est un suivi des inondations au Tchad. Il donne également la capacité des partenaires à répondre aux besoins des sinistrés.
  • 80+ Downloads
    Time Period of the Dataset [?]: October 31, 2021-October 05, 2022 ... More
    Modified [?]: 17 November 2022
    Dataset Added on HDX [?]: 22 November 2021
    This dataset updates: Every six months
    This data is the Regional 3W for West and Central Africa.
  • 1200+ Downloads
    Time Period of the Dataset [?]: May 20, 2018-May 20, 2018 ... More
    Modified [?]: 21 October 2022
    Dataset Added on HDX [?]: 18 April 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Chad: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • Time Period of the Dataset [?]: June 17, 2021-July 22, 2021 ... More
    Modified [?]: 29 September 2022
    Dataset Added on HDX [?]: 9 October 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes in the refugee populations. CHAD hosts approximately 450.000 refugees mainly originating from Sudan, Central African Republic and Nigeria representing about 4% of the total population of the country. This can be explained by the security challenges caused by tensions in neighboring countries and by the macroeconomic situation of the country itself. Additionally, the Covid-19 pandemic has adversely impacted the livelihood of this already vulnerable population due to loss of means of income and reduction of revenues and support. In this context, the 2021 SENS survey was organized by UNHCR and the WFP, in collaboration with Chad Health Ministry. The data collection took place between June 17 and July 22, 2021 and covered 25 camps of Sudanese, Central African and Nigerian refugees in the East, South, and Lake Regions of Chad, including host villages living 25 Kilometers around the camps. A total of 705 clusters of 15320 households were surveyed, including 13087 children between 0 and 59 months of age who were surveyed for Anthropometry. A detailed report of the nutritional situation of the various segments of the population was published in a report which is published together with all the relevant datasets.
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • 2600+ Downloads
    Time Period of the Dataset [?]: February 17, 2021-March 03, 2021 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 24 June 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.
  • 70+ Downloads
    Time Period of the Dataset [?]: June 10, 2022-December 10, 2022 ... More
    Modified [?]: 10 June 2022
    Dataset Added on HDX [?]: 10 June 2022
    This dataset updates: Every six months
    2022 HPC - Child protection organization response activities
  • 54000+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-May 22, 2022 ... More
    Modified [?]: 24 May 2022
    Confirmed [?]: 31 May 2022
    Dataset Added on HDX [?]: 26 May 2020
    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/
  • Time Period of the Dataset [?]: December 07, 2016-January 22, 2017 ... More
    Modified [?]: 12 May 2022
    Dataset Added on HDX [?]: 10 July 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    Refugees from Sudan started arriving in eastern Chad in 2003 due to the conflict in Darfur. The number of long-term refugees was estimated to be 310,834 people in 2016. The region is mostly desert with few natural resources, in particular land and water. On top of the difficult environment, insecurity has made it a challenge for NGOs and international organizations to provide support to the camps. The refugees in the camps have relied on WFP food assistance since they arrived. In January 2014, the food ration was reduced from the standard 2,100 kcal/day to 800 kcal. As part of nutrition and health monitoring, UNHCR in collaboration with WFP organized a Standardized Expanded Nutrition Survey (SENS) in the camps in order to assess the nutrition and health situation of the refugee populations, and orient and guide decision-making for the following year. The survey took place from 7 December 2016 to 22 January 2017 in the 12 camps hosting refugees from Sudan in the regions of Ouaddai, Wadi Fira, Ennedi East and Sila (situated on the border with Darfur, Sudan). The survey include two modules (children under 5 and women of child-bearing age) and used two-stage cluster sampling. See more details in the report.
  • Time Period of the Dataset [?]: December 10, 2016-January 24, 2017 ... More
    Modified [?]: 12 May 2022
    Dataset Added on HDX [?]: 10 July 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    UNHCR in collaboration with the Ministry of Public Health through the National Directorate of Nutrition and Food Technology (DNTA) and operational partners including WFP, UNICEF, IRC, ADES, CSSI and IMC organized a Standardized Expanded Nutrition Survey (SENS) in seven camps in the south, south-east and west of Chad in order to assess the nutrition and health situation of the refugee populations. The survey took place from 10 December 2016 to 24 January 2017 in the seven refugee camps hosting refugees from Central African Republic, Nigeria and Niger. The survey include two modules (children under 5 and women of child-bearing age) and used two-stage cluster sampling. See more details in the report.
  • 900+ Downloads
    Time Period of the Dataset [?]: January 31, 2024-January 31, 2024 ... More
    Modified [?]: 15 March 2022
    Confirmed [?]: 28 February 2024
    Dataset Added on HDX [?]: 13 December 2019
    This dataset updates: Every year
    This dataset shows the number of People in Need (PiN), funds required, and funds received by country over the years, from 2010 to 2024.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 27, 2022-January 27, 2022 ... More
    Modified [?]: 27 January 2022
    Dataset Added on HDX [?]: 27 January 2022
    This dataset updates: As needed
    SHP file of market in CHAD
  • 4000+ Downloads
    Time Period of the Dataset [?]: September 21, 2020-September 21, 2020 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 22 September 2020
    This dataset updates: As needed
    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
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2019 ... More
    Modified [?]: 6 January 2022
    Dataset Added on HDX [?]: 6 January 2022
    This dataset updates: Live
    This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries
    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.
  • 9700+ Downloads
    Time Period of the Dataset [?]: July 01, 2021-July 01, 2021 ... More
    Modified [?]: 31 December 2021
    Confirmed [?]: 5 January 2024
    Dataset Added on HDX [?]: 26 September 2017
    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
  • COD 60+ Downloads
    Time Period of the Dataset [?]: December 21, 2021-March 29, 2024 ... More
    Modified [?]: 21 December 2021
    Dataset Added on HDX [?]: 21 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    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.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2012-March 29, 2021 ... More
    Modified [?]: 21 December 2021
    Confirmed [?]: 28 December 2021
    Dataset Added on HDX [?]: 22 July 2019
    This dataset updates: Every year
    This data is about the refugees, IDPs, and returnees in the Sahel from 2012 till March 2021.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-March 29, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
    Live list of active aid activities for Chad shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • 90+ Downloads
    Time Period of the Dataset [?]: July 01, 2021-September 30, 2021 ... More
    Modified [?]: 23 November 2021
    Dataset Added on HDX [?]: 11 August 2021
    This dataset updates: As needed
    COVAX Round 6 Allocations for July to September 2021
  • COD 300+ Downloads
    Time Period of the Dataset [?]: September 11, 2020-September 11, 2020 ... More
    Modified [?]: 17 November 2021
    Dataset Added on HDX [?]: 11 September 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Administrative level 3 boundaries for selected Sahel countries edge-matched and derived from respective COD-AB datasets. P-codes match source datasets.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 17 November 2021
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Intention to return survey
    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/.
  • 400+ Downloads
    Time Period of the Dataset [?]: September 12, 2018-September 12, 2018 ... More
    Modified [?]: 19 October 2021
    Dataset Added on HDX [?]: 12 September 2018
    This dataset updates: As needed
    This dataset is part of the data series [?]: INFORM Models
    The regional INFORM Sahel model was initiated by Emergency Response and Preparedness Group of regional Inter-Agency Standing Committee (IASC) and is managed by OCHA. The INFORM model is being used to support the Humanitarian Programme Cycle and coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region.
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 17 October 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • Time Period of the Dataset [?]: December 01, 2020-December 31, 2020 ... More
    Modified [?]: 4 October 2021
    Dataset Added on HDX [?]: 11 October 2021
    This dataset updates: Never
    Chad hosts over 480,000 refugees from Sudan, Central African Republic and Nigeria. They live in camps and host communities in the east, south and west of the country. WFP, UNHCR and other partners have provided food and non-food assistance to meet their basic needs. The objective of this study was to evaluate the level of vulnerability and food security among the refugees supported by WFP and UNHCR in Chad. The study was jointly led by WFP and UNHCR in Chad.
  • 600+ Downloads
    Time Period of the Dataset [?]: November 14, 2020-May 17, 2021 ... More
    Modified [?]: 15 September 2021
    Dataset Added on HDX [?]: 15 June 2021
    This dataset updates: Every month
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021