Burkina Faso

Data Grid Completeness Expand
Affected People
3 Datasets
Coordination & Context
4 Datasets
Food Security & Nutrition
4 Datasets
Geography & Infrastructure
4 Datasets
Health & Education
6 Datasets
Population & Socio-economy
2 Datasets
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
Data [219]
  • Updated December 18, 2020 | Dataset date: January 01, 2015-October 31, 2020
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
    600+ Downloads
    This dataset updates: As needed
  • Updated December 18, 2020 | Dataset date: January 01, 2017-November 30, 2020
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
    2900+ Downloads
    This dataset updates: As needed
  • Updated December 16, 2020 | Dataset date: January 01, 1970-December 31, 2019
    Education indicators for Burkina Faso. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2020 September), SDG 4 Global and Thematic (made 2020 September), Demographic and Socio-economic (made 2020 September)
    200+ Downloads
    This dataset updates: Every three months
  • Updated December 15, 2020 | Dataset date: January 01, 2009-December 31, 2020
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, TOBACCO, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, UHC, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS, Noncommunicable diseases and mental health, Health workforce, Neglected Tropical Diseases, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization For links to individual indicator metadata, see resource descriptions.
    1700+ Downloads
    This dataset updates: Every month
  • Updated December 15, 2020 | Dataset date: January 31, 2020-January 31, 2020
    Ce jeu de données donne la présence opérationnelle des partenaires humanitaires dans les communes au Burkina Faso.
    800+ Downloads
    This dataset updates: As needed
  • Updated December 15, 2020 | Dataset date: August 06, 2019-August 18, 2019
    The dataset contains IDPS and returnees data from Eastern region of Burkina Faso at sub-national level. The dataset also contains needs of displaced population.
    300+ Downloads
    This dataset updates: As needed
  • The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition. (Refer to the documents linked as showcases for more information).
    2600+ Downloads
    This dataset updates: Every year
  • Updated December 11, 2020 | Dataset date: April 13, 2020-May 28, 2020
    West and Central Africa Coronavirus covid-19 situation
    500+ Downloads
    This dataset updates: Every week
  • Daily Covid-19 cases in african countries : daily infected, recovered and deceased and cumulative cases of infected, recovered and deceased since the beginning of the pandemic.
    300+ Downloads
    This dataset updates: As needed
  • Updated December 9, 2020 | Dataset date: January 01, 2019-December 06, 2020
    Données hebdomadaires sur les maladies à potentiel épidémiques au Burkina Faso
    600+ Downloads
    This dataset updates: Every week
  • Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA
    500+ Downloads
    This dataset updates: Every year
  • Total Biomass Production (tonnes of dry matter) for Admin 0, Admin 1 and Admin 2 Levels for years from 1998 to 2020. Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA
    100+ Downloads
    This dataset updates: Every year
  • 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 www.sigsahel.info website and maps available on a mapping platform : www.geosahel.info. These dataset are the summary of the data collected by sentinel sites over period of August and September 2020.
    10+ Downloads
    This dataset updates: Never
  • Updated November 23, 2020 | Dataset date: January 01, 2000-December 31, 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. 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/WP00674
    This dataset updates: Every year
  • Updated November 23, 2020 | Dataset date: January 01, 2000-December 31, 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. 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
    100+ Downloads
    This dataset updates: Every year
  • Updated November 20, 2020 | Dataset date: November 20, 2020-November 20, 2020
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
    40+ Downloads
    This dataset updates: As needed
  • Updated November 12, 2020 | Dataset date: January 01, 2020-November 11, 2020
    Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    30+ Downloads
    This dataset updates: As needed
  • Updated November 12, 2020 | Dataset date: January 01, 2020-November 11, 2020
    Covid-19 death cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    30+ Downloads
    This dataset updates: As needed
  • Updated November 11, 2020 | Dataset date: January 01, 2020-November 11, 2020
    Covid-19 cumulative recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    20+ Downloads
    This dataset updates: As needed
  • Updated November 11, 2020 | Dataset date: January 01, 2020-November 11, 2020
    Covid-19 recovered cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    30+ Downloads
    This dataset updates: As needed
  • Updated November 11, 2020 | Dataset date: January 01, 2020-November 11, 2020
    Covid-19 cumulative infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    20+ Downloads
    This dataset updates: As needed
  • Updated November 11, 2020 | Dataset date: January 01, 2020-November 10, 2020
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    50+ Downloads
    This dataset updates: As needed
  • Updated November 2, 2020 | Dataset date: July 13, 2020-August 15, 2020
    L'Evaluation Multisectorielle Des Besoins (MSNA) 2020 au Burkina Faso couvre la plupart des secteurs humanitaires sur diverses dimensions : Eau, Hygiène et Assainissement (EHA / WASH), sécurité alimentaire, santé / nutrition, abris et biens non-alimentaires (ABNA / Shelter - NFI), protection et redevabilité envers les communautés affectées (AAP). Des entretiens en personne ont été menés auprès de ménages dans les zones où l'accès était possible tant d'un point de vue logistique que sécuritaire. Les zones où l'accès n'était pas possible ont été couvertes par téléphone autant que possible. L’évaluation se concentre sur deux ensembles : - Les cinq régions affectées par la crise, situées au nord-est du pays, et affectées par des facteurs tels que l’insécurité. - Les 8 autres régions, où la crise a parfois commencé à se répandre, et dans lesquelles la population est également confrontée à un manque structurel d’accès aux services et des problématiques de plus long terme. En outre, deux groupes de populations ont été définis pour les différents échantillons : la population non déplacée et la population déplacée. L’échantillonnage a été produit de manière à ce que, dans les régions ou provinces accueillant plus que 300 ménages Personnes Déplacées Internes (PDI), les données soient généralisables par groupe de population. Différentes stratégies d’échantillonnage et de collecte de données ont été mises en place en fonction des données démographiques et de recensement des PDI disponibles et de l’accessibilité des zones : (1) Échantillonnage par grappes à deux degrés : enquêtes ménages en personne. Un intervalle de confiance de 95% et une marge d’erreur de 10% appliqués. Les données sont représentatives par strates (province, région) (2) Échantillonnage non probabiliste par quotas : enquêtes ménages en personne (pour les localités accessibles mais dont les données sur le recensement par site des PDI ne sont pas disponibles). Les données sont indicatives, et ne peuvent donner lieu à une généralisation des résultats. Les données peuvent néanmoins être utilisées pour des fins d’analyses, dans la mesure où leurs limitations statistiques sont connues et prise en compte par les utilisateurs. Ces différentes stratégies impliquent que les résultats ont une représentativité statistique différente en fonction des régions, provinces et groupes de population représentés: - Données statistiquement représentatives: données issues de l'échantillonnage en grappe, soit dans les régions du Sahel, Centre-Nord, Nord, Est et Boucle du Mouhoun, pour la population hôte; - Données indicatives : données pour les autres régions et pour toutes les provinces, ainsi que pour les déplacés. Si ces données sont combinées avec des données représentatives, l'ensemble des données sont alors indicatives. Les poids pour les deux stratégies d'échantillonnage sont disponibles pour chaque ménage dans les colonnes "weights_sampling_admin1" et "weights_sampling_admin2", respectivement. L’évaluation se concentre sur deux ensembles : - Les cinq régions affectées par la crise, situées au nord-est du pays, et affectées par des facteurs tels que l’insécurité. - Les 8 autres régions, où la crise a parfois commencé à se répandre, et dans lesquelles la population est également confrontée à un manque structurel d’accès aux services et des problématiques de plus long terme. Plus d’informations sont disponibles dans l’onglet Lisez-Moi.
    50+ Downloads
    This dataset updates: Never
  • Updated October 16, 2020 | Dataset date: August 23, 2011-August 23, 2011
    Digital Elevation Model The present geodata represents digital elevation model of Burkina Faso. Resolution: 90 m
    100+ Downloads
    This dataset updates: Every year
  • Updated September 11, 2020 | Dataset date: September 11, 2020-September 11, 2020
    Administrative level 3 boundaries for selected Sahel countries edge-matched and derived from respective COD-AB datasets. P-codes match source datasets.
    80+ Downloads
    This dataset updates: Every year