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
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 October and November 2019.
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.
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 August and September 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.
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 June and July 2019.
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.
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.
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
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.
A description of the modelling methods used for age and sex structures can be found in
Tatem et al and
Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined
here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
Data for earlier dates is available directly from WorldPop.
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/WP00646
Bulletin sur la Production de Biomasse et l’Eau de Surface sur le Sahel, mi-saison d’hivernage 2018.
Les données satellitaires utilisées pour cette étude sont issues des mesures provenant depuis 1998 de la série des satellites SPOT-VEGETATION 4 & 5, remplacés en 2014 par PROBA-V. Ces satellites appartiennent au programme de l’agence spatiale européenne ESA. Les données brutes sont traitées et distribuées par l’Institut Flamande pour la recherche Technologique VITO (Belgique) et ensuite analysées à l’aide des outils
développés par ACF : BioGenerator et HydroGenerator. BioGenerator permet de quantifier les productions totales annuelles de biomasse végétale, exprimées en kg de matière sèche à l’hectare kg/ha, ainsi que l’anomalie de production en comparaison avec la moyenne calculée sur l’ensemble des années disponibles depuis 1998 sans discontinuité.
HydroGenerator permet de suivre statistiquement la présence des points d’eau de surface, et de calculer l’indice d’accessibilité à l’eau de surface et son anomalie par comparaison à la moyenne calculée sur la période 1998 à 2018.
Les prévisions des précipitations se base sur les données produites par le CPC (Climate Prediction Center) de la NOAA (National Oceanic and Atmospheric Administration), administration des Etats-Unis d’Amérique. Le CPC donne accessible publiquement au téléchargement une série de prévisions climatiques sur le globe. Les prévisions de précipitations utilisées sont issues d’une combinaison de plusieurs modèles climatiques. Ces prévisions de moyennes mensuelles des précipitations concernent une période
de 4 mois suivant la période initiale, ici août 2018.
These data summarize the latest available WorldPop gridded population datasets into the administrative units of the common operational dataset (COD). Note that these data should not be considered the COD datasets for population unless endorsed by the humanitarian community in country, but rather as a starting point if no COD dataset is available, or as a point of comparison with other population datasets. These data are provided as a prototype and feedback is welcome at hdx.feedback@gmail.com
Prévisions des précipitations se base sur les données produites par le CPC (Climate Prediction Center) de la NOAA (National Oceanic and Atmospheric Administration) sur l'Afrique de l'Ouest pour la saison d'hivernage 2018.
The dataset has been developed by merging Admin2 geodata of the nine countries of the Sahel region coming from several sources (SALB, governments, WFP....).
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..
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Burkina Faso 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/WP00453
