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  • Time Period of the Dataset [?]: January 01, 2019-March 29, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
    Live list of active aid activities for 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
  • COD 300+ Downloads
    Time Period of the Dataset [?]: October 12, 2021-October 12, 2021 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 12 October 2021
    This dataset updates: As needed
    Limites de la République Démocratique du Congo et de 20 pays avoisinants, extraites de la base de données OpenStreetMap et mises à disposition pour faciliter la cartographie.
  • 600+ Downloads
    Time Period of the Dataset [?]: November 14, 2020-May 17, 2021 ... More
    Modified [?]: 15 September 2021
    Dataset Added on HDX [?]: 15 June 2021
    This dataset updates: Every month
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    Covid-19 recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 cumulative recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 death cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 600+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 1100+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Confirmed [?]: 27 September 2021
    Dataset Added on HDX [?]: 19 May 2020
    This dataset updates: As needed
    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.
  • 10000+ Downloads
    Time Period of the Dataset [?]: January 01, 1990-August 15, 2021 ... More
    Modified [?]: 22 August 2021
    Dataset Added on HDX [?]: 15 April 2015
    This dataset updates: Never
    This no longer updated 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.
  • 300+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    This dataset updates: Every three months
    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.
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    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
  • 400+ Downloads
    Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 20 November 2020
    This dataset updates: As needed
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
  • 700+ Downloads
    Time Period of the Dataset [?]: April 13, 2020-May 28, 2020 ... More
    Modified [?]: 11 December 2020
    Dataset Added on HDX [?]: 7 May 2020
    This dataset updates: Every week
    West and Central Africa Coronavirus covid-19 situation
  • 70+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 12 September 2020
    Dataset Added on HDX [?]: 20 July 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. 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
  • 433000+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
    This dataset updates: As needed
    JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 23 November 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. 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/WP00674
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2008-March 29, 2024 ... More
    Modified [?]: 25 May 2020
    Dataset Added on HDX [?]: 28 April 2014
    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
    List of airports in Congo-Brazzaville, with latitude and longitude. Unverified community data from http://ourairports.com/countries/CG/
  • 20+ Downloads
    Time Period of the Dataset [?]: April 01, 2019-May 30, 2019 ... More
    Modified [?]: 20 May 2020
    Dataset Added on HDX [?]: 27 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Intention to return survey
    The South Sudan situation is currently the largest refugee situation on the African continent. There are over 2.2 million refugees spread across Sudan, Uganda, Ethiopia, Kenya, the Democratic Republic of the Congo (DRC), and the Central African Republic (CAR) a further 1.8 million people are displaced internally in South Sudan. An estimated 140,000 South Sudanese spontaneously returnees are reported to have returned to South Sudan from November 2018 to date. The South Sudan situation continues to be characterized as a children's tragedy with children constituting over 65 percent of the refugee population. The Revitalised Agreement for the Resolution of the Conflict in the Republic in South Sudan (R-ARCSS) foresees the formation of a Government of National Unity (GNU) with all the parties in agreement including the leader of the SPLA IO and first vice president by May 2019. In November 2018, it was agreed during the Kampala Representatives meeting that intention surveys should be conducted for South Sudanese refugees in all countries of asylum. This was further concretized in March 2019, during the EHA/GLR planning meeting; here it was decided that UNHCR country representations of CAR, Kenya, Uganda, DRC, Sudan, Ethiopia would ensure that a rapid intention survey of South Sudanese refugees in their respective asylum countries is carried out before May 2019, in line with the agreed calendar of the R-ARCSS The Intention Survey was a cross-sectional survey conducted among the over 2.2 million South Sudanese refugees living in six countries of asylum using a stratified random sampling approach to survey 6,964 refugees (heads of households) in 15 camps selected across the region. In each location, sample size estimation assumed a 95 per cent confidence level, and a margin of error of 7 per cent; sample was drawn taking into account the location, place of origin, ethnicity, year of arrival to the country of asylum and gender of the head of household. The confidence intervals were taken into consideration in all the tables and analysis. Security, access and logistical constraints restricted sampling in some locations, therefore weighting was applied to adjust for unequal selection probabilities in each of the 15 locations. The findings of this report are representative of the return intentions of refugee households in these 15 camps. Data was collected through in-person interviews using a harmonised survey that was conducted concurrently in the six countries in May 2019 with a mobile data collection tool (KoBo Toolkit). Questionnaires were administered to consenting refugees aged 12 years and above. Children below 12 years of age were excluded from the survey.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-January 22, 2020 ... More
    Modified [?]: 30 January 2020
    Dataset Added on HDX [?]: 30 January 2020
    This dataset updates: As needed
    WCA Agencies location
  • 20+ Downloads
    Time Period of the Dataset [?]: December 13, 2017-December 27, 2017 ... More
    Modified [?]: 2 December 2019
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH KAP Survey
    The Republic of Congo has served for over a decade as a host country for refugees following repetitive armed conflicts known in the subregion. The latest is the Central African armed disturbance unleashed in March 2013. This conflict has caused a massive influx of people to the countries bordering the Central African Republic. In Congo, the majority of refugees have been received in the department of Likouala. This influx was added to the DRC and Rwandan refugees already present in the area. Since the beginning of the operation, the humanitarian organizations, AARREC, Solidarité Internationale and the Congolese Red Cross have implemented the actions Water Hygiene and Sanitation in the hosting camps and villages through the financing of UNHCR. Various structures (latrines, wells and boreholes, washing area, etc.) have been installed for the benefit of the beneficiaries. The aim of these actions is to ensure for all sites: (i) access to sufficient and good quality drinking water, (ii) sustainable access to sanitation facilities, and (iii) improve knowledge and practices in personal and collective hygiene. To better understand and measure the current state of knowledge and practices of the populations living in the various refugee sites, a KAP survey focusing on water, hygiene and sanitation issues was conducted from December 13 to 27, 2017. The survey results reported in this document will also serve as a benchmark for measuring the impact of actions conducted in the area of the operation at the end of each year.
  • 200+ Downloads
    Time Period of the Dataset [?]: October 09, 2019-October 09, 2019 ... More
    Modified [?]: 9 October 2019
    Dataset Added on HDX [?]: 3 April 2018
    This dataset updates: Live
    This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 3 July 2019
    Dataset Added on HDX [?]: 20 November 2018
    This dataset updates: Every year
    This dataset contains many indicators related to population and migration such as Average annual population growth rate, Population 15-19 , Annual rate of change of the migrant stock, International migrant stock at mid-year, etc. The whole list and their description can be find in this link https://bit.ly/2ODhFQh
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 1985-December 31, 2017 ... More
    Modified [?]: 3 July 2019
    Dataset Added on HDX [?]: 20 November 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: United Nations Economic Commission for Africa - Health indicators
    This dataset contains many indicators in health such as Infant mortality rate, Proportion of population with advanced HIV infection with access to antiretroviral drugs, Death rate associated with malaria per 100,000 population, Tuberculosis prevalence rate per 100,000 population, etc. The whole list and their description can be find in this link https://bit.ly/2NZBRH3