Democratic republic of the congo Food security Humanitarian Datasets | Find Crisis Data

HDX HAPI Data for Democratic Republic of the Congo

500+ Downloads

Time Period of the Dataset [?]: January 01, 1997-December 31, 2028 ... More

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.

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Anomaly Hotspots of Agricultural Production

Joint Research Centre of the European Commission

500+ Downloads

Time Period of the Dataset [?]: October 01, 2016-March 11, 2025 ... More

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.

CSV

FAO Data in Emergencies Monitoring System (DIEM)

Food and Agriculture Organization (FAO) of the United Nations

1900+ Downloads

Time Period of the Dataset [?]: December 01, 2022-March 06, 2025 ... More

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.

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Multiple locations - Conflict, Hunger and Aid Security Data

Insecurity Insight

3500+ Downloads

Time Period of the Dataset [?]: January 13, 2020-April 12, 2025 ... More

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

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Democratic Republic of the Congo - Food Security and Nutrition Indicators

Food and Agriculture Organization (FAO) of the United Nations

300+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2023 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: FAO - Food Security Indicators

Food Security and Nutrition Indicators for Democratic Republic of the Congo. Contains data from the FAOSTAT bulk data service.

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Democratic Republic of the Congo - Food Prices

Food and Agriculture Organization (FAO) of the United Nations

700+ Downloads

Time Period of the Dataset [?]: January 01, 1970-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: FAO - Food Prices

Food 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

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Democratic Republic of the Congo - Food Prices

WFP - World Food Programme

2600+ Downloads

Time Period of the Dataset [?]: January 15, 2007-December 15, 2024 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: WFP - Food Prices

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.

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Protracted Displacement Economies, 2021 - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 03, 2021-July 27, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Mixed Movements Monitoring

The project considers five pairs of countries: the Democratic Republic of Congo (DRC)/Uganda, Ethiopia/Somalia, Lebanon/Syria, Myanmar/Thailand, and Pakistan/Afghanistan. Research was conducted with partners in the primary focus country of each pair of countries (the first mentioned). This research was attentive to the cross-border dynamics of the protracted displacement economy with the other countries in each pair (the second mentioned). A household survey approach comprising a baseline survey and one follow-up panel survey (except in Myanmar which only had the baseline survey) was a central part of this project’s research.   The 15 research locations (three each from the five primary focus countries) were purposively selected, making sure that both cities and camps providing refuge to the displaced are included, and that there is data for a sampling frame (i.e. a list of all households to be studied) and that the sites are accessible to the researchers. Locations were selected to avoid an exclusive focus on displaced people. In camps (which are exclusive to displaced people), a portion of the local community outside the camp was also surveyed. The purpose was to collect a survey dataset for intra- and cross-country comparisons. Focus groups informed the design of the initial survey instrument, ensuring that questions were as comprehensible as possible and relevant to the local context. The survey instrument comprised a core section that was used across all five countries, with short country- and location-specific additions to reflect the concerns of local stakeholders. The instrument was designed jointly by UK researchers and international partners in English and then translated by international partners into nine other languages. The survey was conducted using tablets and the open-source Kobo Toolkit software with multi-language capability. The questions covered standard short measures of: gender, age, multidimensional poverty and wellbeing, displacement/mobility history, livelihoods, social care, and other support including non-financial support. In addition to these household-level questions, individual questions were included for the respondents on attitudes about contacts with neighbors, collective organisation, sources of emotional support, and plans and hopes for the future. Questions shared across all countries have standard responses which maximise the potential for intra- and cross-country comparison of this dataset.  The survey considered the entire displacement-affected community. The baseline survey in 2021 included 14504 households selected randomly in each of the 15 locations. The selection of individuals from within a household to respond to the questionnaire was fully random, stratified by sex. Two years after the baseline survey, in 2023, 1779 households were re-surveyed in four countries (a repeat survey was not done in Myanmar).

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Democratic Republic of the Congo: Acute Food Insecurity Country Data

Integrated Food Security Phase Classification (IPC)

1000+ Downloads

Time Period of the Dataset [?]: June 01, 2017-June 30, 2025 ... More

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.

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Democratic Republic of the Congo - Results Monitoring Survey (RMS) - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: February 28, 2023-April 28, 2023 ... More

This dataset updates: Never

The RMS conducted in the Democratic Republic of the Congo between February and April 2023 aimed to gather household-level data on forcibly displaced and stateless individuals. Its objective was to monitor impact and outcome indicators related to education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation, contributing to UNHCR’s reporting against multi-year strategies to various stakeholders. The survey can be implemented in diverse operational contexts and utilizes a standard structured questionnaire, adaptable for standalone use or integration with other data collection efforts. Data collection includes indicators at both household and individual levels, ensuring statistical representativeness. The population of interest comprised refugees, asylum-seekers, internally displaced people (IDPs), refugee returnees, and host communities, each sampled separately. Refugees and asylum-seekers were sampled from UNHCR’s registration database (proGres), stratified by areas. Refugee returnees, IDPs, and host communities were sampled using lists provided by the operation in each area, with systematic sampling conducted if sampled households were unreachable. Limited data collection occurred in some areas due to restricted lists or security concerns. In total, 14,040 households were sampled, with 13,570 households interviewed. Of these, 5,456 out of 5,740 sampled refugee and asylum-seeker households were interviewed, along with 4,865 IDP households, 949 refugee returnee households out of 1,090 sampled, and 2,300 host community households out of 2,315 sampled. Data collection utilized Computer-Assisted Personal Interviews (CAPI).

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Democratic Republic of the Congo - Socio-Economic Survey in Grand Kasai, 2022 - 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: November 24, 2022-February 16, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Lebanon - Vulnerability Assessment of Syrian Refugees

The World Bank-UNHCR Joint Data Center (JDC) provided his support for a household survey in the Great Kasai area in the Democratic Republic of Congo (DRC) conducted by the UNHCR Sub Office Kananga in collaboration with the National Institute of Statistics (INS). The main objective of the survey was to generate high-quality socioeconomic data to inform decision making and programming of humanitarian and development interventions and policy including UNHCR DRC’s core programing and multi-year strategy implementation as well as UNHCR Angola’s planning of voluntary repatriation. A wide range of stakeholders were consulted and involved from the design stage of the survey tools, including (but not limited to) the World Bank, UNDP, UNICEF, IOM, WFP, FAO, UNFPA, the National Institute of Statistics (INS), the Provincial Ministries of planning, the Protection, Shelter and Health Clusters members and CRIs actors the Grand-Kasai-level. The data covers the following areas: land ownership, documentation, agro-pastoral activities, conflicts, employment and sources of income, household assets, consumption, savings, and credit, right to housing and habitat, access to basic social services and information, peace, security and peaceful cohabitation, physical and mental health, food insecurity, inclusion, and access to legal resources of the people for whom and with whom UNHCR works.

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IPC Acute Food Insecurity Country Data

Integrated Food Security Phase Classification (IPC)

1700+ Downloads

Time Period of the Dataset [?]: January 01, 2017-October 31, 2023 ... More

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.

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Democratic Republic of the Congo - Standardised Expanded Nutrition Survey...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: January 01, 2019-March 30, 2019 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - SENS Survey

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes in the refugee populations. UNHCR in collaboration with the Ministry of Health and with support from ADES, UNICEF and WFP organized and series of three SENS in the Democratic Republic of Congo in the first half of 2019 focusing on the following locations and population groups: in camps hosting refugees from Burundi (Sud-Kivu province); in camps and among host populations hosting refugees from Central African Republic (Bas-Uélé, Nord-Ubangi and Sud-Ubangi provinces), and in camps and among host populations hosting refugees from South Sudan (Haut-Uélé and Ituri provinces). The survey includes seven modules: household composition, income, consumption and food security, use of mosquito nets, water and sanitation (WASH), children under five, and women of childbearing age. See further details in the three reports. This data is the anonymous version of the original data collected for primary use.

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Democratic Republic of the Congo - Joint assessment of Refugees from Central...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 03, 2021-October 17, 2021 ... More

This dataset updates: Never

In October 2021, UNHCR and WFP undertook an assessment of refugees from the Central African Republic living with host families in Zongo (South Ubangi) and Yakoma (North Ubangi) in the Democratic Republic of the Congo (DRC). The main objective of the of the assessment was to refine a targeting strategy that identifies the most vulnerable and supports them through assistance tailored to their needs and priorities, with a view to facilitating and achieving self-reliance. The assessment was a joint effort between the UNHCR and WFP country offices and the UNHCR-WFP Joint Hub. Data collection took place from 3 to 17 October, 2021, in four settlements. 770 households were selected using systematic random sampling. See more details in the report. This dataset represents an anonymous version of the original dataset.

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Democratic Republic of the Congo - Joint Assessment of Refugees from from...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: August 17, 2021-September 17, 2021 ... More

This dataset updates: Never

Between August and September 2021, UNHCR and WFP undertook an assessment of refugees from the Central African Republic in North and South Ubangui provinces of the Democratic Republic of the Congo (DRC). The main objective of the of the assessment of needs and livelihoods is to understand the basic needs and vulnerabilities, particularly related to livelihoods, of refugees. The assessment was a joint effort between the UNHCR and WFP country offices and the UNHCR-WFP Joint Targetting Hub. Data collection took place from August 17 to September 17, 2021 in the four refugee camps of Bili and Inke (North Ubangi) and Boyabu and Mole (South Ubangi). 1,450 households were selected using stratified random sampling, with 1,328 were retained. See more details in the report. This dataset represents an anonymous version of the original dataset.

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Democratic Republic of the Congo - Joint Assessment of Refugees from South...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: February 14, 2021-March 19, 2021 ... More

This dataset updates: Never

Between February and March 2021, UNHCR and WFP undertook an assessment of refugees from South Sudan in the sites of Biringi (Ituri province), Bele and Meri (Haut Uélé province) in the Democratic Republic of the Congo (DRC). The objective of the assessment was to update the basic knowledge on the humanitarian needs of the whole South Sudanese refugee population in these sites to inform programmatic decisions and assess the relevance of a harmonized humanitarian targetting strategy based on level of vulnerability. The assessment was carried out jointly by UNHCR and WFP. All refugee households in all sites were interviewed, consisting of 8,630 households. This dataset represents an anonymous version of the original dataset. A 20% random sample of the original dataset was drawn as part of the anonymization. The sample was stratified by site (Mele, Beri and Biringi). The variable survey_weight provide the final weights.

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Democratic Republic of the Congo - Joint Assessment of Refugees from Burundi...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: January 01, 2021-January 31, 2021 ... More

This dataset updates: Never

In January 2021, the United Nations High Commissioner for Refugees (UNHCR) and the World Food Programme (WFP) undertook an assessment of refugees from Burundi in the Lusenda and Mulongwe refugee camps in South Kivu, Democratic Republic of the Congo (DRC). The objective of the assessment was to assess the relevance of UNHCR and WFP's targeting in the context of Burundian refugees and possibly develop a targeting strategy harmonized as much as possible with other refugee populations in DRC. A secondary objective was to introduce barcodes linked to unique identifiers used in registration. This vulnerability assessment was conducted through an exhaustive inventory of all refugee households living in the Lusenda and Mulongwe camps (South Kivu) as well as those living outside the camps and who went to the interview locations in the camps. The survey targeted Burundian refugee households assisted by WFP and UNHCR. The data collected during the survey are quantitative and were supplemented by qualitative data collected in February 2021 in the camps of Lusenda and Mulongwe through four focus group discussions per camp for a total of eight focus groups. All refugee households in Lusenda and Mulongwe camps as well as those living outside the camp, were interviewed with a core set of questions (see variable TypeEnquete, response Ciblage). In addition, 7% of households, randomly selected, participated in a more detailed interview (see variable TypeEnquete, response Exhaustive). A total of 7,873 households were selected. This dataset represents an anonymous version of the original dataset. A sample of the original dataset was drawn as part of the anonymization. The sample was stratified by camp (Lusenda or Muolongwe) and the type of survey (Ciblage or Exhaustive). All respondents that were part of the Exhaustive survey were preserved, while a random sample of the respondents that were part of the Ciblage survey was taken. The variable strata defines which records correspond with which group, and survey_weight provide the final weights.

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Democratic Republic of the Congo - Rwampara Post-Distribution Monitoring for...

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: July 07, 2020-July 23, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention

UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of CBI recipients. Post-Distribution Monitoring (PDM) is a mechanism to collect feedback on the quality, sufficiency, utilization and effectiveness of assistance. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. This CBI PDM took place in the Rwampara health zone, near Bunia in the province of Ituri, Democratic Republic of the Congo in January 2021 for the cash assistance provided in December 2020.

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Democratic Republic of the Congo - Bunia Post-Distribution Monitoring for...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: July 07, 2020-July 23, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention

UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of CBI recipients. Post-Distribution Monitoring (PDM) is a mechanism to collect feedback on the quality, sufficiency, utilization and effectiveness of assistance. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. This CBI PDM took place in Djugu and Drodro territories, province of Ituri, Democratic Republic of the Congo in January 2021 for the cash assistance provided in November 2020.

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Democratic Republic of the Congo - Ituri Post-Distribution Monitoring for...

UNHCR - The UN Refugee Agency

20+ Downloads

Time Period of the Dataset [?]: July 07, 2020-July 23, 2020 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Post-Distribution Monitoring of Cash-Based Intervention

UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of CBI recipients. Post-Distribution Monitoring (PDM) is a mechanism to collect feedback on the quality, sufficiency, utilization and effectiveness of assistance. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. This CBI PDM took place in several locations in the province of Ituri, Democratic Republic of the Congo in July of 2020 for cash assistance that was provided between March and April 2020.

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