Key Figures
Data Completeness
2/26 Core Data 23 Datasets 14 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.
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
Expand
Affected People
4 Datasets
Coordination & Context
6 Datasets
Food Security & Nutrition
3 Datasets
Geography & Infrastructure
5 Datasets
Health & Education
2 Datasets
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • 300+ Downloads
    Updated June 14, 2019 | Dataset date: Jan 24, 2019
    This dataset updates: As needed
    This dataset is showing the health data of the Democratic Republic of Congo
  • 30+ Downloads
    Updated June 11, 2019 | Dataset date: Jul 28, 2018
    This dataset updates: Every year
    The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards.
  • 1200+ Downloads
    Updated June 7, 2019 | Dataset date: Jun 7, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 30+ Downloads
    Updated June 7, 2019 | Dataset date: Jan 31, 2019
    This dataset updates: As needed
    Democratic Republic of the Congo (DRC): Country refugee response plan
  • 300+ Downloads
    Updated June 5, 2019 | Dataset date: May 17, 2017
    This dataset updates: Every day
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets that have been published on a separate dataset (Democratic Republic of the Congo, streets and pathways). It also includes the latest information on access constraints published by the Logistics Cluster in D.R.C. CAUTION: The dataset is quite heavy (~30Mb). To download only a subset of it (by bounding box or filtering the data), please go to the WFP geonode page of this dataset : http://geonode.wfp.org/layers/ogcserver.gis.wfp.org%3Ageonode%3Acod_trs_roads_osm#
  • 90+ 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
  • 100+ Downloads
    Updated May 27, 2019 | Dataset date: Jan 24, 2019
    This dataset updates: Every year
    This dataset shows the data corresponding to the cultural and social aspect of the Democratic Republic of the Congo with ethnics, tribes, the spoken languages, the culinary culture, .....
  • 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, 2013-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. Democratic Republic of the Congo 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/WP00447
  • Updated May 27, 2019 | Dataset date: Jan 1, 2013-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. Democratic Republic of the Congo 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/WP00339
  • 300+ Downloads
    Updated May 20, 2019 | Dataset date: Oct 1, 2018
    This dataset updates: Every six months
    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information. There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 1000+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2018
    This dataset updates: Every year
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This is our sixth report documenting attacks on health care in conflict countries around the world. This page is managed by SHCC member Insecurity Insight.
  • 70+ Downloads
    Updated May 13, 2019 | Dataset date: May 1, 2019
    This dataset updates: Every month
    Data about Psychosocial indicator and activities on Ebola Response DRC
  • 100+ Downloads
    Updated May 2, 2019 | Dataset date: Jan 1, 2016-Dec 31, 2019
    This dataset updates: Every month
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
  • 1100+ Downloads
    Updated April 21, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2018
    This dataset updates: Every year
    This dataset contains verified submissions from our partner agencies and publicly-reported data for events in which an aid worker was assaulted or injured. Categorized by country.
  • 100+ Downloads
    Updated April 15, 2019 | Dataset date: Oct 31, 2018
    This dataset updates: Every year
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It 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, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • 200+ Downloads
    Updated April 10, 2019 | Dataset date: Sep 19, 2019
    This dataset updates: Every day
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 90+ Downloads
    Updated April 10, 2019 | Dataset date: Sep 19, 2019
    This dataset updates: Every day
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated April 5, 2019 | Dataset date: Jan 1, 2019-Jan 1, 2020
    This dataset updates: Live
    Live list of active aid activities for Democratic Republic of the Congo 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
  • 800+ Downloads
    Updated March 19, 2019 | Dataset date: Jan 24, 2019
    This dataset updates: Never
    Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The model documentation and code are also available , so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. You can find the model code and documentation here: https://github.com/facebookresearch/many-to-many-dijkstra Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again. Resolution: geotiff is provided at Bing Tile Level 20
  • 300+ 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
  • 200+ Downloads
    Updated March 16, 2019 | Dataset date: Oct 11, 2018
    This dataset updates: Never
    African Economic Outlook, 1993-2050
  • 100+ Downloads
    Updated February 15, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    L'onglet pin_target_budget_adm1 contient les pin, target et budget par province et par secteur/cluster L'onglet pin_target_budget_adm2 contient les pin, target et budget par territoire et par secteur/cluster L'onglet pin_target_budget_healthzone contient les pin, target et budget par zone de santé et par secteur/cluster L'onglet budget_cluster contient les budgets par secteur/cluster Le total général des cibles par province/territoire/zone de santé est la valeur maximale des clusters Dans les onglets pin_target_budget_adm1, pin_target_budget_adm1 et pin_target_budget_healthzone le budget du secteur/cluster protection n'est pas désagrégé. Sa valeur est donnée dans le total des clusters de l'onglet budget_cluster
  • 2300+ Downloads
    Updated February 12, 2019 | Dataset date: Dec 31, 2018
    This dataset updates: Every three months
    The dataset has households and IDPs individuals by sex dis-aggregated.
  • 700+ Downloads
    Updated February 12, 2019 | Dataset date: Nov 30, 2018
    This dataset updates: Every six months
    The dataset contains IDPs, returnees at sub national level.