Central African Republic

Data Grid Completeness
17/27 Core Data 22 Datasets 13 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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Affected People
4 Datasets
Internally-Displaced Persons
International Organization for Migration
International Organization for Migration
Refugees & Persons of Concern
Returnees
International Organization for Migration
Humanitarian Profile Locations
International Organization for Migration
Humanitarian Needs
Casualties
Coordination & Context
4 Datasets
3w - Who is doing what where
International Aid Transparency Initiative
Affected Areas
Conflict Events
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
3 Datasets
Food security
Integrated Food Security Phase Classification (IPC)
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Health & Education
3 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Population & Socio-economy
2 Datasets
Baseline Population
Baseline Population by Age & Sex
Poverty Rate
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  • 100+ Downloads
    Updated 27 August 2021 | Dataset date: January 01, 1960-December 31, 2020
    This dataset updates: Every month
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.
  • 5000+ Downloads
    Updated 27 August 2021 | Dataset date: January 01, 2011-December 31, 2020
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 1300+ Downloads
    Updated 25 August 2021 | Dataset date: August 25, 2021-August 25, 2021
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 10000+ Downloads
    Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021
    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.
  • 100+ Downloads
    Updated 16 August 2021 | Dataset date: May 05, 2019-June 30, 2021
    This dataset updates: As needed
    The dataset contains IDPs at site level.
  • 3500+ Downloads
    Updated 16 August 2021 | Dataset date: November 15, 2020-April 30, 2021
    This dataset updates: Every six months
    This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment. Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
  • 60+ Downloads
    Updated 11 August 2021 | Dataset date: July 01, 2021-September 30, 2021
    This dataset updates: As needed
    COVAX Round 6 Allocations for July to September 2021
  • 1600+ Downloads
    Updated 9 August 2021 | Dataset date: March 31, 2021-March 31, 2021
    This dataset updates: Every six months
    Ce jeu de données porte sur la présence opérationnelle des partenaires humanitaires par secteur au niveau administratif 3 dans la République Centrafricaine.
  • 400+ Downloads
    Updated 3 August 2021 | Dataset date: January 01, 1970-December 31, 2019
    This dataset updates: Every three months
    Education indicators for Central African Republic. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2021 March), SDG 4 Global and Thematic (made 2021 March), Demographic and Socio-economic (made 2021 March)
  • 200+ Downloads
    Updated 22 July 2021 | Dataset date: January 01, 2020-September 18, 2021
    This dataset updates: Every year
    The data shows key figures on Education in Emergencies (EiE) at country level and as reported by country clusters
  • 300+ Downloads
    Updated 18 July 2021 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    Food Security Indicators for Central African Republic. Contains data from the FAOSTAT bulk data service.
  • 200+ Downloads
    Updated 22 June 2021 | Dataset date: January 01, 2011-December 31, 2020
    This dataset updates: Every six months
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 300+ Downloads
    Updated 30 May 2021 | Dataset date: January 01, 2008-December 31, 2020
    This dataset updates: Every year
    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.
  • Updated 27 May 2021 | Dataset date: April 01, 2019-May 30, 2019
    This dataset updates: Never
    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.
  • 4300+ Downloads
    Updated 18 May 2021 | Dataset date: January 01, 2014-September 18, 2021
    This dataset updates: Every year
    The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition. (Refer to the documents linked as showcases for more information).
  • 50+ Downloads
    Updated 8 May 2021 | Dataset date: May 19, 2020-May 19, 2020
    This dataset updates: As needed
    Pool fund Extended allocation Details
  • 5700+ Downloads
    Updated 6 May 2021 | Dataset date: April 01, 2021-September 18, 2021
    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. More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication (preprint) for the Relative Wealth Index is available here: https://arxiv.org/abs/2104.07761 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/
  • 1200+ Downloads
    Updated 5 May 2021 | Dataset date: May 20, 2019-May 20, 2019
    This dataset updates: As needed
    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the Central African Republic: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
  • 90+ Downloads
    Updated 4 May 2021 | Dataset date: January 01, 1990-December 31, 2030
    This dataset updates: Every year
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
  • 7000+ Downloads
    Updated 30 April 2021 | Dataset date: January 01, 2016-December 31, 2020
    This dataset updates: As needed
    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 page is managed by SHCC member Insecurity Insight.
  • 100+ Downloads
    Updated 15 April 2021 | Dataset date: March 01, 2020-December 31, 2020
    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.
  • 100+ Downloads
    Updated 14 April 2021 | Dataset date: January 01, 2019-December 31, 2020
    This dataset updates: Every year
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
  • 3200+ Downloads
    Updated 1 April 2021 | Dataset date: October 15, 2021-October 15, 2021
    This dataset updates: Every year
    Ce jeu de donnée représente le nombre estimé de personnes ayant besoin d’assistance en RCA.
  • 40+ Downloads
    Updated 1 April 2021 | Dataset date: December 31, 2020-December 31, 2020
    This dataset updates: Every year
    This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data 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. It represents a consolidated evidence base and helps inform joint strategic response planning.
  • 10+ Downloads
    Updated 1 April 2021 | Dataset date: May 05, 2020-May 05, 2020
    This dataset updates: Never
    This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards