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  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-December 31, 2029 ... More
    Modified [?]: 17 May 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset is part of the data series [?]: HDX HAPI - Data by Country
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 500+ Downloads
    Time Period of the Dataset [?]: October 01, 2016-April 11, 2025 ... More
    Modified [?]: 17 May 2025
    Dataset Added on HDX [?]: 3 April 2024
    This dataset updates: Every month
    ASAP is an online decision support system for early warning about hotspots of agricultural production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning. The monthly hotspots data set is available below, but you can explore the hotspots on the ASAP Warning Explorer and access more contextual data on the downloads page. To learn more about the hotspots, refer to the warning classification methodology document.
  • 1900+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-March 06, 2025 ... More
    Modified [?]: 14 May 2025
    Dataset Added on HDX [?]: 19 April 2022
    This dataset updates: As needed
    The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample. The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset. For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/ View the column descriptions here. Metadata available here. Questionnaires used for data collection available here. Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.
  • 3500+ Downloads
    Time Period of the Dataset [?]: January 13, 2020-April 12, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 16 January 2023
    This dataset updates: As needed
    This page provides data on conflict events affecting food insecurity in the form of the Food Insecurity and Violent Conflict (FIVC) datasets. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More
    Modified [?]: 11 May 2025
    Dataset Added on HDX [?]: 10 March 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Security Indicators
    Food Security and Nutrition Indicators for Central African Republic. Contains data from the FAOSTAT bulk data service.
  • 700+ Downloads
    Time Period of the Dataset [?]: January 01, 1991-December 31, 2024 ... More
    Modified [?]: 11 May 2025
    Dataset Added on HDX [?]: 4 May 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for Central African Republic. Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
  • 2100+ Downloads
    Time Period of the Dataset [?]: January 15, 2004-March 15, 2025 ... More
    Modified [?]: 11 May 2025
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Prices
    This dataset contains Food Prices data for Central African Republic, 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.
  • 30+ Downloads
    Time Period of the Dataset [?]: February 19, 2024-February 19, 2024 ... More
    Modified [?]: 11 March 2025
    Dataset Added on HDX [?]: 25 November 2024
    This dataset updates: As needed
    This dataset is part of the data series [?]: WFP - Food Security Indicators
    HungerMapLIVE is the World Food Programme (WFP)’s global hunger monitoring system. It combines key metrics from various data sources – such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data – to help assess, monitor and predict the magnitude and severity of hunger in near real-time. The resulting analysis is displayed on an interactive map that helps WFP staff, key decision makers and the broader humanitarian community to make more informed and timely decisions relating to food security. The platform covers 94 countries, including countries where WFP has operations as well as most lower and lower-middle income countries (as classified by the World Bank).
  • 7800+ Downloads
    Time Period of the Dataset [?]: January 01, 2014-August 31, 2025 ... More
    Modified [?]: 5 March 2025
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every six months
    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. There is also a global Acute Food Insecurity Country dataset.
  • 1300+ Downloads
    Time Period of the Dataset [?]: February 01, 2017-August 31, 2025 ... More
    Modified [?]: 10 January 2025
    Dataset Added on HDX [?]: 8 July 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports. There is also a global dataset.
  • 1700+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-October 31, 2023 ... More
    Modified [?]: 15 March 2023
    Dataset Added on HDX [?]: 13 May 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • Time Period of the Dataset [?]: July 20, 2022-September 18, 2022 ... More
    Modified [?]: 2 March 2023
    Dataset Added on HDX [?]: 24 November 2022
    This data is by request only
    The 2022 Multi-Sectoral Needs Assessment (MSNA), conducted by the REACH Initiative in close collaboration with the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) and mandated by the Inter-cluster Coordination Group (ICCG), aims to understand the multi-sectoral and sector-specific needs, circumstances, and vulnerabilities of households across the entire territory of the Central African Republic. It also aims to understand specific needs and vulnerabilities of population groups, namely non-displaced households, returnees, internally displaced persons (IDPs) living in host communities, and IDPs living at sites. The needs assessment covers protection, health, mental health, WASH, Shelter and NFI, Education, food security, livelihoods and disabilities, as well as the perception of and satisfaction with humanitarian aid (AAP). The 2022 MSNA was conducted through a statistically representative household survey across 66 accessible sub-prefectures (admin2) out of the 72 sub-prefectures of the country. The inaccessible sub-prefectures were evaluated using a Key Informant survey. In consultation with key humanitarian partners and actors, a joint set of indicators, questions, and answer choices were developed for the assessment of needs in the context of the Central African Republic. All surveys were conducted through face-to-face interviews, using the tablet-based Kobo Collect Open Data Kit (ODK) app. Household data collection took place from July 20 to September 18, 2022. A total of 12,347 households were assessed after data cleaning. Data is statistically representative at a 92% confidence level and a +/- 10% margin of error with a buffer of 10% for the entire population on the level of sub-prefectures (admin2) and higher levels, and for specific population groups on the level of prefectures (admin1) and higher levels.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 20, 2022-September 18, 2022 ... More
    Modified [?]: 24 November 2022
    Dataset Added on HDX [?]: 24 November 2022
    This dataset updates: As needed
    The 2022 Multi-Sectoral Needs Assessment (MSNA), conducted by the REACH Initiative in close collaboration with the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) and mandated by the Inter-cluster Coordination Group (ICCG), aims to understand the multi-sectoral and sector-specific needs, circumstances, and vulnerabilities of households across the entire territory of the Central African Republic. It also aims to understand specific needs and vulnerabilities of population groups, namely non-displaced households, returnees, internally displaced persons (IDPs) living in host communities, and IDPs living at sites. The needs assessment covers protection, health, mental health, WASH, Shelter and NFI, Education, food security, livelihoods and disabilities, as well as the perception of and satisfaction with humanitarian aid (AAP). The 2022 MSNA was conducted through a statistically representative household survey across 66 accessible sub-prefectures (admin2) out of the 72 sub-prefectures of the country. The inaccessible sub-prefectures were evaluated using a Key Informant survey. In consultation with key humanitarian partners and actors, a joint set of indicators, questions, and answer choices were developed for the assessment of needs in the context of the Central African Republic. All surveys were conducted through face-to-face interviews, using the tablet-based Kobo Collect Open Data Kit (ODK) app. Household data collection took place from July 20 to September 18, 2022. A total of 12,347 households were assessed after data cleaning. Data is statistically representative at a 92% confidence level and a +/- 10% margin of error with a buffer of 10% for the entire population on the level of sub-prefectures (admin2) and higher levels, and for specific population groups on the level of prefectures (admin1) and higher levels.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-January 31, 2021 ... More
    Modified [?]: 4 October 2021
    Dataset Added on HDX [?]: 11 October 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention
    From October to December 2020, UNHCR supported over 2,100 refugees (850 households) in Obo, Central African Republic from South Sudan and the Democratic Republic of the Congo with cash assistance to cover food needs. Each household was allocated 9,000 XAF per person per month. Post-distribution monitoring (PDM) of this assistance was conduected in January 2021 with the objectives of understanding the efficiency of the distribution process, accountability to the refugees and risk and problems faced. The PDM included a household survey and focus group discussions.