Democratic Republic of the Congo

Data Grid Completeness
17/21 Core Data 21 Datasets 14 Organisations Show legend
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.
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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
4 Datasets
100% 
Internally-Displaced Persons
Humanitarian Needs
OCHA Democratic Republic of the Congo (DRC)
Coordination & Context
7 Datasets
66%  33% 
3w - Who is doing what where
OCHA Democratic Republic of the Congo (DRC)
Affected Areas
OCHA Democratic Republic of the Congo (DRC)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Transportation Status
Food Security & Nutrition
3 Datasets
100% 
Food security
Integrated Food Security Phase Classification (IPC)
Food Prices
Geography & Infrastructure
4 Datasets
75%  25% 
Administrative Divisions
Roads
Health & Education
2 Datasets
50%  50% 
Population & Socio-economy
2 Datasets
100% 
Baseline Population
OCHA Democratic Republic of the Congo (DRC)
Poverty Rate
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  • 7900+ Downloads
    Updated 20 January 2022 | Dataset date: January 20, 2022-January 20, 2022
    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.
  • 36000+ Downloads
    Updated 19 January 2022 | Dataset date: March 01, 2020-January 20, 2022
    This dataset updates: Every day
    NOTE: We are aware of issues affecting the data on dates 2021-11-15, 2021-11-17, and 2021-12-03 caused by a bug that occurred which meant the data is reporting from a much smaller random sample of users than normal. We are working on either a solution which can repair the issue or will remove the corrupted data from those dates. In the meantime, we chose to keep the data as-is and just urge caution in it's use until we have a better plan. This is also the reason we are pausing updates to the dataset. Thanks for your patience on this and apologies for the disruption. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/
  • 10000+ Downloads
    Updated 19 January 2022 | Dataset date: April 01, 2021-January 20, 2022
    This dataset updates: As needed
    The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/
  • 40+ Downloads
    Updated 19 January 2022 | Dataset date: January 01, 1997-January 14, 2022
    This dataset updates: Every week
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Democratic Republic of Congo. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 9200+ Downloads
    Updated Live | Dataset date: January 01, 2015-December 31, 2021
    This dataset updates: Live
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 1600+ Downloads
    Updated 17 January 2022 | Dataset date: January 15, 2007-September 15, 2021
    This dataset updates: Every week
    This dataset contains Food Prices data for Democratic Republic of the Congo, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 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.
  • 2800+ Downloads
    Updated 16 January 2022 | Dataset date: January 01, 2019-December 31, 2021
    This dataset updates: As needed
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
  • 1000+ Downloads
    Updated Live | Dataset date: February 19, 2021-January 20, 2022
    This dataset updates: Live
    This dataset contains COVID-19 vaccine dose availability forecasts as well as actual deliveries for countries with Humanitarian Response Plans. The data on vaccine availability forecasts was manually extracted from the COVAX Facility Interim Distribution Forecast as announced by COVAX on 3 February 2021. Figures for actual deliveries through channels other than COVAX are compiled by OCHA from press reports. The source(s) press releases, official announcements or articles for each such vaccine delivery are included in the dataset.
  • 4700+ Downloads
    Updated 15 January 2022 | Dataset date: January 01, 1961-December 31, 2019
    This dataset updates: Every month
    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, Neglected Tropical Diseases, World Health Statistics, Health financing, Tobacco, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health Equity Monitor, 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, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization, NLIS For links to individual indicator metadata, see resource descriptions.
  • 3100+ Downloads
    Updated 14 January 2022 | Dataset date: June 01, 2015-September 30, 2021
    This dataset updates: Every three months
    Projets en cours d'execution en RD Congo, ainsi que le nombre de personnes ciblées durant la période aggrégées par zone de santé et par secteur. Seuls les projets humanitaires sont repris dans ce fichier.
  • Updated 13 January 2022 | Dataset date: July 21, 2021-January 20, 2022
    This dataset updates: As needed
    These data consist of modelled gridded population estimates produced at a spatial resolution of approximately 100m across the Haut-Katanga, Haut-Lomami, Ituri, Kasaï, Kasaï-Oriental, Lomami and Sud-Kivu provinces in the Democratic Republic of the Congo (DRC). The estimates comprise total population counts created using a Bayesian statistical model and post-hoc breakdowns in 40 age and sex groups. The main input data were derived from a dedicated microcensus survey carried out in the targeted provinces throughout March and April 2021. The microcensus was led by the Flowminder Foundation, the École de Santé Publique de Kinshasa, the WorldPop Research Group at the University of Southampton and the Bureau Central du Recensement, which is part of the Institut National de la Statistique of the DRC. Other essential input data include metrics derived from building footprints, which were automatically delineated by Ecopia.AI in 2021 using satellite imagery collected by Maxar Technologies between 2010 and 2021. The modelled population estimates represent the period of the microcensus but their consistency may be impacted by the accuracy of the building footprints, particularly in the areas where the satellite imagery used for automatic delineation was outdated. These data were produced by the WorldPop Research Group at the University of Southampton as part of the GRID3 Mapping for Health Project. This project was delivered under the leadership of the Ministry of Public Health, Hygiene and Prevention of the DRC and funded by Gavi, the Vaccine Alliance (RM 867204 20A2). The project was led by the Flowminder Foundation and the Center for International Earth Science Information Network (CIESIN) at Columbia University, in collaboration with the WorldPop Research Group at the University of Southampton and national partners including, but not limited to, the École de Santé Publique de Kinshasa and both the Bureau Central du Recensement and the Institut National de la Statistique. This work was a continuation of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) programme funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). The study was approved by the Faculty Ethics Committee of the University of Southampton (ERGO II 62716). The production of these data was led by Gianluca Boo (WorldPop](https://www.worldpop.org/) ) with support from Roland Hosner (Flowminder Foundation), Pierre Z Akilimali (École de Santé Publique de Kinshasa), Edith Darin (WorldPop), Heather R Chamberlain (WorldPop), Warren C Jochem (WorldPop), Patricia Jones (WorldPop), Roger Shulungu Runika (Institut National de la Statistique), Henri Marie Kazadi Mutombo (Bureau Central du Recensement), Attila N Lazar (WorldPop) and Andrew J Tatem (WorldPop). The authors acknowledge the support of their respective institutions in the completion of this work. Recommended citation: G Boo, R Hosner, PZ Akilimali, E Darin, HR Chamberlain, WC Jochem, P Jones, R Shulungu Runika, HM Kazadi Mutombo, AN Lazar and AJ Tatem. 2021. Modelled gridded population estimates for the HautKatanga, Haut-Lomami, Ituri, Kasaï, Kasaï-Oriental, Lomami and Sud-Kivu provinces in the Democratic Republic of the Congo (2021), version 3.0. WorldPop, University of Southampton, Flowminder Foundation, École de Santé Publique de Kinshasa, Bureau Central du Recensement and Institut National de la Statistique. doi:10.5258/SOTON/WP00720
  • 100+ Downloads
    Updated 13 January 2022 | Dataset date: January 01, 2021-December 31, 2021
    This dataset updates: As needed
    These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access. Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
  • 1000+ Downloads
    Updated Live | Dataset date: December 14, 2020-January 17, 2022
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 1300+ Downloads
    Updated Live | Dataset date: December 15, 2020-January 20, 2022
    This dataset updates: Live
    This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
  • 400+ Downloads
    Updated 9 January 2022 | Dataset date: January 01, 1970-December 31, 2020
    This dataset updates: Every year
    Prices for Democratic Republic of the Congo. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates - Annual
  • 300+ Downloads
    Updated 7 January 2022 | Dataset date: October 18, 2021-December 05, 2021
    This dataset updates: Every three months
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap, pour la province du Nord-Kivu. Ce dossier reprend actuellement des données publiées dans un contexte de formation et révision.
  • Updated Live | Dataset date: January 01, 2017-December 31, 2019
    This dataset updates: Live
    This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
  • 2800+ Downloads
    Updated 5 January 2022 | Dataset date: January 05, 2022-January 05, 2022
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 700+ Downloads
    Updated 3 January 2022 | Dataset date: February 01, 1989-December 31, 2019
    This dataset updates: Every month
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 9100+ Downloads
    Updated 31 December 2021 | Dataset date: July 01, 2021-January 20, 2022
    This dataset updates: Every year
    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
  • 60+ Downloads
    Updated 31 December 2021 | Dataset date: January 01, 2021-January 20, 2022
    This dataset updates: Every year
    The dataset contains severity score of needs per "zone de santé" (admin level 3).
  • 700+ Downloads
    Updated 31 December 2021 | Dataset date: January 07, 2020-October 18, 2020
    This dataset updates: Every month
    La méthodologie utilisée pour l’estimation des mouvements de populations a été élaborée collectivement en avril 2015 par l’ensemble des acteurs humanitaires et services étatiques. La dernière révision date de mars 2018.
  • 1500+ Downloads
    Updated 30 December 2021 | Dataset date: January 01, 2018-December 31, 2021
    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.
  • 400+ Downloads
    Updated 28 December 2021 | Dataset date: September 01, 2021-September 01, 2021
    This dataset updates: Every six months
    Prévalence de la malnutrition pour les enfants et les Femmes enceintes et allaitantes désagrégés par zone de santé. Les données sont à jours (septembre 2021)
  • 300+ Downloads
    Updated 28 December 2021 | Dataset date: June 01, 2021-December 07, 2021
    This dataset updates: Every month
    La méthodologie utilisée pour l’estimation des mouvements de populations a été élaborée collectivement en avril 2015 par l’ensemble des acteurs humanitaires et services étatiques. La dernière révision date de mars 2018.