Key Figures
Data Completeness
6/26 Core Data 24 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.
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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
6 Datasets
Internally-Displaced Persons
International Organization for Migration
Returnees
OCHA DR Congo
Humanitarian Profile Locations
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Missing Persons
Coordination & Context
7 Datasets
Affected Areas
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
2 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Health & Education
3 Datasets
Health Facilities
World Health Organization
Global Healthsites Mapping Project
Affected Schools
Population & Socio-economic Indicators
3 Datasets
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  • 4500+ Downloads
    Updated November 19, 2019 | Dataset date: Nov 19, 2019
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 100+ Downloads
    Updated November 17, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2018
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 5100+ Downloads
    Updated November 17, 2019 | Dataset date: Jan 1, 1990-Nov 15, 2019
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 400+ Downloads
    Updated November 17, 2019 | Dataset date: Jan 15, 2007-Aug 15, 2019
    This dataset updates: Every week
    This dataset contains Food Prices data for Democratic Republic of the Congo. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 2200+ Downloads
    Updated November 12, 2019 | Dataset date: Aug 4, 2018-Nov 18, 2019
    This dataset updates: Every day
    This Ebola epidemic dataset contains figures on the Ebola cases, deaths and cures in the North Kivu Ebola outbreak of August 2018 in the Democratic Republic of the Congo (DRC).
  • 500+ Downloads
    Updated November 10, 2019 | Dataset date: May 1, 2018
    This dataset updates: Every year
    The zip file contains Health region (adm1) and districts boundaries (adm2) for DRC in shapefile and GeoJSON format. These datasets can be found in the WHO Ebola open data platform: https://ebolaoutbreak2018-who.opendata.arcgis.com
  • 1900+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2016-Oct 31, 2019
    This dataset updates: Every month
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
  • 10+ Downloads
    Updated November 9, 2019 | Dataset date: Oct 28, 2019
    This dataset updates: As needed
    République démocratique du Congo (RDC), Localités, lieux habités Points : Interactive Online Map and Tabular spreadsheet Localities populated settlements OSM amenity IN ('places') Overpass API / OpenStreetMap Database Variables osm_id, lat (latitude), lon(longitude), place[city, town, suburb, quarter, village, hamlet, localities, isolated_dwelling], abandoned_place, name
  • 1100+ Downloads
    Updated November 7, 2019 | Dataset date: Oct 22, 2019
    This dataset updates: As needed
    On 1 August 2018, the Ministry of Health of the Democratic Republic of the Congo declared a new outbreak of Ebola virus disease in North Kivu Province. The Ministry of Health, WHO and partners are responding to this event, and working to establish the full extent of this outbreak. Numbers may fluctuate on a daily basis due to many factors, including continuing monitoring, investigation and reclassification of cases. Alert and suspected cases (not reported here), are systematically investigated to confirm or exclude Ebola virus disease before inclusion in the case counts or discarded as non-cases. WHO GIS team is supporting the National Health Information System Division (DSNIS) to update the health related geographic data (health zones, areas and health facility structures) and other spatial information such as road, building, school together with the OpenStreetMap community and various partners. To carry out this work, the methodology was decided with local cartographers and together we were able to improve the data locally.
  • 20+ Downloads
    Updated November 7, 2019 | Dataset date: Oct 28, 2019
    This dataset updates: As needed
    République Démocratiques du Congo, Limites des provinces (admin level 2)
  • 10+ Downloads
    Updated November 7, 2019 | Dataset date: Nov 5, 2019
    This dataset updates: As needed
    République démocratique du Congo (RDC), Établissements éducatifs Points + Polygons : Interactive Online Map and Tabular spreadsheet (For multipolygons lat,lon=centroid) Features Education facilities (schools, universities, colleges, kindergarten) Objets Institutions de la santé (écoles, universités, collèges, petite enfance) OSM amenity IN ('school','university','college','kindergarten') Overpass API / OpenStreetMap Database Variables lat (latitude) lon (longitude) osm_id (unique point id) osm_way_id (unique way id) amenity school:FR name name:fr name:en operator:type addr:housenumber addr:street addr:city phone website building source source:data source:date source:name source_ref survey:date note attribution
  • 10+ Downloads
    Updated November 6, 2019 | Dataset date: Nov 5, 2019
    This dataset updates: As needed
    République démocratique du Congo (RDC), Établissements de santé Points + Polygons : Interactive Online Map and Tabular spreadsheet (For multipolygons lat,lon=centroid) Features Health facilities (hospital, doctors, clinics, pharmacy, dentist) Objets Institutions de la santé (hopitaux, médecins, cliniques, pharmacies, dentiste) OSM amenity IN ('doctors','clinic','hospital','pharmacy','dentist') Overpass API / OpenStreetMap Database Variables lat (latitude) lon (longitude) osm_id (unique point id) osm_way_id (unique way id) amenity name name:fr name:en health_facility:type healthcare id:uuid is_in:health_area is_in:health_zone building:levels building:material building:condition addr:housenumber addr:street addr:city soure source:data source:date source:name source_ref survey:date note attribution
  • 300+ Downloads
    Updated November 3, 2019 | Dataset date: Nov 10, 2019
    This dataset updates: Every week
    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.
  • 300+ Downloads
    Updated November 3, 2019 | Dataset date: Nov 10, 2019
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated November 3, 2019 | Dataset date: Nov 10, 2019
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated November 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).
  • 60+ Downloads
    Updated November 1, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2027
    This dataset updates: Live
    List of airports in Democratic Republic of the Congo, with latitude and longitude. Unverified community data from http://ourairports.com/countries/CD/
  • 3800+ Downloads
    Updated November 1, 2019 | Dataset date: Sep 26, 2017
    This dataset updates: As needed
    West and Central Africa Administrative boundaries, administrative level 0 to 2. Notice: The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations. West and Central Africa settlements with administrative capitals
  • 50+ Downloads
    Updated October 31, 2019 | Dataset date: Jan 1, 2008-Dec 31, 2018
    This dataset updates: As needed
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • 40+ Downloads
    Updated October 30, 2019 | Dataset date: Feb 1, 2019-Feb 16, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Kasai Oriental province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 30+ Downloads
    Updated October 30, 2019 | Dataset date: Feb 1, 2019-Feb 19, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Kasai province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 60+ Downloads
    Updated October 30, 2019 | Dataset date: Feb 3, 2019-Feb 24, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Kasai Central province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 10+ Downloads
    Updated October 30, 2019 | Dataset date: Aug 31, 2018
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Sankuru province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 20+ Downloads
    Updated October 30, 2019 | Dataset date: Apr 1, 2019-May 16, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in North Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 20+ Downloads
    Updated October 30, 2019 | Dataset date: Dec 1, 2018
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in South Kivu province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.