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.
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
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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 24 February 2017 | Dataset date: March 19, 2016-March 19, 2016
    This dataset updates: Every six months
    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.
  • 900+ Downloads
    Updated 31 January 2017 | Dataset date: January 20, 2017-January 20, 2017
    This dataset updates: Every year
    These shapes design administrative levels 1 and 2 plus the localities of the Lac Chad Basin affected by the crisis
  • 700+ Downloads
    Updated 29 December 2016 | Dataset date: December 01, 2016-December 01, 2016
    This dataset updates: Never
    This dataset is about food security projects implemented in the Sahel region in 2015 and 2016.
  • 500+ Downloads
    Updated 24 November 2016 | Dataset date: August 20, 2016-August 20, 2016
    This dataset updates: Never
    AFDB Commodity Prices, Monthly January 1960 - July 2016
  • 500+ Downloads
    Updated 24 November 2016 | Dataset date: April 17, 2016-April 17, 2016
    This dataset updates: Never
    African Regional Energy Statistics, 2000 - 2014
  • 700+ Downloads
    Updated 24 November 2016 | Dataset date: July 15, 2015-July 15, 2015
    This dataset updates: Never
    The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
  • 500+ Downloads
    Updated 24 November 2016 | Dataset date: July 08, 2016-July 08, 2016
    This dataset updates: Never
    African Financial Survey Database, 2005-2014
  • 600+ Downloads
    Updated 21 June 2016 | Dataset date: April 21, 2016-April 21, 2016
    This dataset updates: Every three months
    This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
  • 1100+ Downloads
    Updated 24 November 2015 | Dataset date: May 14, 2015-May 14, 2015
    This dataset updates: Every month
    The Income Activities dataset includes data on income generation at the household level. Sources of income listed include labor, agriculture, asset sales, and remittances, among others. It is available for 32 countries.
  • 2000+ Downloads
    Updated 24 November 2015 | Dataset date: May 13, 2015-May 13, 2015
    This dataset updates: Every month
    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.
  • 50+ Downloads
    Updated 14 October 2015 | Dataset date: September 30, 2015-September 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for July-September 2015 westafrica201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated 14 October 2015 | Dataset date: October 01, 2013-October 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for October-December 2013 xx201304_ML2 Most likely food security outcome for January-March 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)