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
Here we provide version 1 Flowminder (www.flowminder.org) human mobility models for West Africa, together with WorldPop population density data for the region, to support ongoing efforts to control the ebola outbreak. Before downloading any data, please read the documention carefully as it provides details on the datasets and models provided through the links below. The mobility data refer to estimated patterns before the Ebola outbreak and should be interpreted with caution for Ebola affected countries as mobility patters are known to have changed.
Additional discussion by the authors around the use of mobile operator data for epidemilogical research see: http://currents.plos.org/outbreaks/article/containing-the-ebola-outbreak-the-potential-and-challenge-of-mobile-network-data/
UNHCR in collaboration with the Ministry of Public Health (MINSANTE) and all of its partners decided to carry out a SENS survey in all the sites developed for Central African refugees in the East and Adamawa regions in the period from January to March 2015. This is an extensive nutritional survey that includes six modules: anthropometry and health, anemia, Infant and Young Child Feeding (IYCF), Food security, Water, Sanitation and Hygiene, and Mosquito net coverage. This edition is the first of this kind of investigation into the operation to assist Central African refugees in Cameroon. Its interest is linked to the fact that it is a scientific work which provides basic information in several sensitive areas. Also it will serve as a basis for decision-making and orientation of ongoing projects, and then make advocacy for fundraising. This assessment is also part of a continuous monitoring of the nutritional situation of these refugee populations over time.
UNHCR in collaboration with the Ministry of Public Health (MINSANTE) and all of its partners decided to carry out a SENS survey in all the sites developed for Central African refugees in the East and Adamawa regions in the period from January to March 2015. This is an extensive nutritional survey that includes six modules: anthropometry and health, anemia, Infant and Young Child Feeding (IYCF), Food security, Water, Sanitation and Hygiene, and Mosquito net coverage. This edition is the first of this kind of investigation into the operation to assist Central African refugees in Cameroon. Its interest is linked to the fact that it is a scientific work which provides basic information in several sensitive areas. Also it will serve as a basis for decision-making and orientation of ongoing projects, and then make advocacy for fundraising. This assessment is also part of a continuous monitoring of the nutritional situation of these refugee populations over time.
UNOSAT code: FL20191017CMR This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 16 October 2019. Within the analysed extent of about 2,500 km2, a total about 211 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
UNOSAT code: FL20191017CMR This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 11 October 2019. Within the analysed extent of about 7,200 km2, a total about 1,500 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
(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.
The dataset contains the list of Sahel/regional output indicators and country-specific indicators as defined in the the 9 Sahel countries SRPs 2015 process by each cluster. The data includes the annual target per indicator per country and the achievements on a month to month basis.
The dataset illustrates the list ongoing activities from the 2015 Strategic Response Plans (SRP) of the 9 Sahel countries. The data was collected from partners who reported on their monthly project achievements via The Sahel Online Reporting System (ORS).
The dataset contains a list of all the projects that were approved in the SRP 2015 via the UNOCHA Online Project System (OPS) for 9 Sahel appeal countries i.e. Burkina Faso, Mauritania, Mali, Niger, Chad, Nigeria, Gambia, Cameroon and Senegal.
The dataset contains the cluster frameworks of the 9 Sahel countries as defined during the SRP 2015 process by each cluster. The cluster framework includes a set of activities and indicators identified by cluster/sector focal points in each country and are linked to the Sahel Strategic Objectives. Partners uploading projects on OPS would see the activity indicators and select the activities they will be undertaking for their projects and define project targets.
The dataset contains the list of Sahel/regional output indicators and country-specific indicators as defined in the the 9 Sahel countries SRPs 2015 process by each cluster.
This dataset contains the daily summaries on base stations across Cameroon. The four indicators included are:
* TPCP: Total precipitation
* MXSD: Maximum snow depth
* TSNW: Total snow fall
* EMXP: Extreme maximum daily precipitation
Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions.
This dataset contains the latest 5 years of available data.
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Overview of the total outreach from the 18 national associations in West and Central Africa. Detailed data set on the services provided at the national level will be available soon
This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.