Data Completeness
15/27 Core Data 19 Datasets 9 Organisations Show legend
What is Data Completeness?
Data 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 Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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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
3 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Profile Locations
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
5 Datasets
3w - Who is doing what where
Affected Areas
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
3 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
Administrative Divisions
Populated Places
Roads
OCHA Mali
Airports
OurAirports
Health & Education
3 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Affected Schools
Population & Socio-economy
2 Datasets
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  • 300+ Downloads
    Updated July 26, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.
  • 400+ Downloads
    Updated July 18, 2019 | Dataset date: Sep 12, 2018
    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.
  • 300+ Downloads
    Updated July 17, 2019 | Dataset date: Sep 12, 2018
    This dataset updates: Every year
    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.
  • 200+ Downloads
    Updated July 15, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains events in which an aid worker was involved in a road safety accident (RSA). Categorized by country.
  • Updated Live | Dataset date: Jan 1, 2005-Dec 31, 2025
    This dataset updates: Live
    Information about persons of concern broken down by sex and age, as well as by location within the country of residence (where such information is available). Such data is available since 2000.
  • 70+ Downloads
    Updated July 3, 2019 | Dataset date: Apr 1, 2019-May 31, 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 April and May 2019.
  • 100+ Downloads
    Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets 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/WP00645
  • Updated May 27, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. 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).
  • Updated May 27, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Mali 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00495
  • Updated May 27, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Mali 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00387
  • 400+ Downloads
    Updated May 20, 2019 | Dataset date: Oct 1, 2018
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mali: (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).
  • 1400+ Downloads
    Updated April 26, 2019 | Dataset date: Mar 22, 2019
    This dataset updates: As needed
    (Beta) Qlik Sense COD template app and its source data including the administrative hierarchy table and geographical data (KML). The KML files in this data set are optimized for Qlik Sense and are not the substitute for the original COD data sets used in the GIS applications. To see the differences, refer CAVEATS/COMMENTS in the Metadata. The data set is currently under the user acceptance testing phase.
  • 100+ Downloads
    Updated April 17, 2019 | Dataset date: Nov 15, 2018
    This dataset updates: Every year
    The data set contains the results of the 2018 Nutrition SMART Survey and the 2019 projections of the caseload for Mali
  • 10+ Downloads
    Updated Live | Dataset date: Jan 1, 2019-Jan 1, 2020
    This dataset updates: Live
    Live list of active aid activities for Mali 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
  • 100+ Downloads
    Updated April 5, 2019 | Dataset date: Nov 25, 2018
    This dataset updates: As needed
    Ce jeu de données porte sur la réponse de la FAO REOWA à la crise pastorale dans le Sahel.
  • 400+ Downloads
    Updated March 16, 2019 | Dataset date: Feb 5, 2018
    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
  • 300+ Downloads
    Updated March 16, 2019 | Dataset date: Oct 11, 2018
    This dataset updates: Never
    African Economic Outlook, 1993-2050
  • 200+ Downloads
    Updated March 14, 2019 | Dataset date: Mar 1, 2019
    This dataset updates: Every six months
    A spreadsheet of responses recorded by three focus groups reviewing access constraints in Mali. The data has been collected during six regional workshops. The data was collected between December 2018 and February 2019.
  • 300+ Downloads
    Updated March 13, 2019 | Dataset date: Dec 31, 2018
    This dataset updates: Every year
    This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning
  • Updated Live | Dataset date: Jan 1, 1999-Dec 31, 2025
    This dataset updates: Live
    Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
  • Updated Live | Dataset date: Jan 1, 1959-Dec 31, 2025
    This dataset updates: Live
    This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.
  • Updated Live | Dataset date: Jan 1, 1999-Dec 31, 2025
    This dataset updates: Live
    Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
  • 10+ Downloads
    Updated Live | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    Year-by-year data about UNHCR's populations of concern residing in Mali. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
  • Updated Live | Dataset date: Jan 1, 1951-Dec 31, 2025
    This dataset updates: Live
    Year-by-year data about UNHCR's populations of concern originating from Mali. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
  • 1000+ Downloads
    Updated December 4, 2018 | Dataset date: Oct 1, 1998-Oct 1, 2018
    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.