Democratic Republic of the Congo

Data Grid Completeness Expand
Affected People
4 Datasets
Coordination & Context
6 Datasets
Food Security & Nutrition
3 Datasets
Health & Education
3 Datasets
Population & Socio-economy
2 Datasets
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.
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
Data [269]
  • Updated 16 April 2021 | Dataset date: January 01, 2019-March 31, 2021
    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.
    2000+ Downloads
    This dataset updates: As needed
  • Updated 16 April 2021 | Dataset date: December 15, 2020-April 16, 2021
    Covid-19 Impact on Humanitarian Operations Data Viz inputs
    700+ Downloads
    This dataset updates: Every day
  • Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
    This dataset updates: Every three months
  • Updated 15 April 2021 | Dataset date: January 01, 1961-December 31, 2019
    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, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, 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, Neglected Tropical Diseases, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Immunization, NLIS For links to individual indicator metadata, see resource descriptions.
    2000+ Downloads
    This dataset updates: Every month
  • Updated 15 April 2021 | Dataset date: April 15, 2021-April 15, 2021
    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.
    6700+ Downloads
    This dataset updates: Every day
  • Updated 15 April 2021 | Dataset date: March 01, 2020-August 31, 2020
    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/
    17000+ Downloads
    This dataset updates: Every day
  • Updated Live | Dataset date: February 19, 2021-April 16, 2021
    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.
    100+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: December 14, 2020-April 02, 2021
    Immunization campaigns impacted due to COVID-19
    500+ Downloads
    This dataset updates: Live
  • Updated 11 April 2021 | Dataset date: January 01, 1990-March 15, 2021
    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.
    9500+ Downloads
    This dataset updates: Every week
  • Updated 11 April 2021 | Dataset date: January 15, 2007-January 15, 2021
    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.
    900+ Downloads
    This dataset updates: Every week
  • Updated 11 April 2021 | Dataset date: January 01, 2018-December 31, 2018
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
  • Updated 11 April 2021 | Dataset date: January 01, 2019-December 31, 2019
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
    This dataset updates: Never
  • Updated 10 April 2021 | Dataset date: July 11, 2020-July 11, 2020
    This dataset is showing the health boundaries data of the Democratic Republic of Congo.
    1100+ Downloads
    This dataset updates: As needed
  • Updated 8 April 2021 | Dataset date: April 01, 2021-April 16, 2021
    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. More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ 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/ Research publication for the Relative Wealth Index is available here: [COMING SOON]
    300+ Downloads
    This dataset updates: As needed
  • Updated 7 April 2021 | Dataset date: March 03, 2020-April 07, 2020
    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.
    1000+ Downloads
    This dataset updates: Every year
  • Updated 7 April 2021 | Dataset date: January 01, 2021-January 31, 2021
    The Democratic republic of the Congo Humanitarian needs overview for 2021. This data has been extracted from the published HRP document for DRC
    10+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: January 01, 2015-March 23, 2021
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
    6700+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: November 06, 2020-November 06, 2020
    The AWSD is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. Incident data is collected both from public sources, through systematic media filtering using a data scraper tool developed for Humanitarian Outcomes, and from information provided directly to the project by aid organisations and operational security entities. The project also maintains agreements with a number of regional and field-level security consortiums for direct information sharing and verification of incidents. Incident reports are crosschecked and verified with the relevant agencies on an annual basis via our verification project. The latest, unverified incidents are provided on the online database with the qualification that the numbers are provisional and may change. For more: https://aidworkersecurity.org/about
    60+ Downloads
    This dataset updates: Live
  • Updated 3 April 2021 | Dataset date: February 01, 1989-December 23, 2018
    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
    400+ Downloads
    This dataset updates: Every month
  • Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.
    500+ Downloads
    This dataset updates: Every week
  • Updated 1 April 2021 | Dataset date: January 01, 2020-April 01, 2021
    Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    70+ Downloads
    This dataset updates: As needed
  • Updated 1 April 2021 | Dataset date: January 01, 2020-April 01, 2021
    Covid-19 recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    60+ Downloads
    This dataset updates: As needed
  • Updated 1 April 2021 | Dataset date: January 01, 2020-April 01, 2021
    Covid-19 cumulative recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    60+ Downloads
    This dataset updates: As needed
  • Updated 1 April 2021 | Dataset date: January 01, 2020-April 01, 2021
    Covid-19 death cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    80+ Downloads
    This dataset updates: As needed
  • Updated 1 April 2021 | Dataset date: January 01, 2020-April 01, 2021
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    100+ Downloads
    This dataset updates: As needed