Food security Baseline population Humanitarian Datasets | Find Crisis Data

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.

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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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Central America - Threats to Food Prices

Acción contra el hambre - GIS4tech

10+ Downloads

Time Period of the Dataset [?]: January 01, 2019-May 12, 2025 ... More

This dataset updates: As needed

The dataset displays alerts based on the data of basic food prices in Honduras, Nicaragua, Guatemala, and El Salvador. The data are sourced from the Famine Early Warning Systems Network (FEWS NET) and the WFP's Vulnerability Analysis and Mapping (WFP-VAM). Data are categorized according to the 'Alert for Price Spikes' (ALPS) methodology from the WFP, which assigns categories such as crisis, alert, stress, and normal based on the standard deviation between the actual and estimated prices.

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Central America - Prevalence of Moderate or Severe Food Insecurity

Acción contra el hambre - GIS4tech

10+ Downloads

Time Period of the Dataset [?]: January 01, 2014-May 12, 2025 ... More

This dataset updates: As needed

Prevalence of moderate or severe food insecurity has been assessed based on the information obtained from the FAO (Food Agriculture Organization of the United Nations). The hazard classification is determined by the frequency of the events. The INSAN is an indicator that measures the percentage of people who have experienced moderate or severe food insecurity. Comparisons are made by region: the world, Central America, and the countries of El Salvador, Guatemala, and Honduras. Categories such as urbanization (rural, urban, and peri-urban), sex (female, male), and total are included. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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Central America - Food Consumption Score and Reduced Coping Strategy Index Forecast

Acción contra el hambre - GIS4tech

100+ Downloads

Time Period of the Dataset [?]: January 01, 2023-May 12, 2025 ... More

This dataset updates: As needed

The dataset contains information on the Food Consumption Score (FCS) and the Reduced Coping Strategy Index (rCSI) for various countries in Central America. The data include different columns according to the category, with three possibilities for FCS: Poor, Acceptable, Borderline. The categories for rCSI are Acceptable, Moderate, and Severe. Each value shows the percentage of the sample that falls under a certain category. The data have been collected since January 2023 and are categorized by country, department, and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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Nigeria - HungerMap data

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: July 07, 2024-May 05, 2025 ... More

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).

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Honduras - HungerMap data

WFP - World Food Programme

90+ Downloads

Time Period of the Dataset [?]: May 12, 2024-May 12, 2025 ... More

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).

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Haiti - HungerMap data

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: May 12, 2024-May 12, 2025 ... More

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).

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Guatemala - HungerMap data

WFP - World Food Programme

90+ Downloads

Time Period of the Dataset [?]: May 12, 2024-May 12, 2025 ... More

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).

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El Salvador - HungerMap data

WFP - World Food Programme

90+ Downloads

Time Period of the Dataset [?]: May 12, 2024-May 12, 2025 ... More

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).

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Ecuador - HungerMap data

WFP - World Food Programme

80+ Downloads

Time Period of the Dataset [?]: May 12, 2024-May 12, 2025 ... More

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).

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Dominican Republic - HungerMap data

WFP - World Food Programme

80+ Downloads

Time Period of the Dataset [?]: May 12, 2024-May 12, 2025 ... More

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).

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Cameroon - HungerMap data

WFP - World Food Programme

90+ Downloads

Time Period of the Dataset [?]: May 25, 2024-May 12, 2025 ... More

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).

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HDX HAPI - Geography & Infrastructure: Baseline Population

HDX Humanitarian API Data

700+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2025 ... More

This dataset updates: Every day

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. Warnings typically indicate corrections have been made to the data or show things to look out for. Rows with only warnings are considered complete, and are made available via the API. Errors usually mean that the data is incomplete or unusable. Rows with any errors are not present in the API but are included here for transparency.

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OCHA Global Subnational Population Statistics

HDX

COD 1800+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2025 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Latest COD population statistics compiled at the admin level. The CSV files contain subnational p-codes, their corresponding administrative names, source organization, and reference dates where available. These are constructed from individual country level population files, which can be found using this search on HDX.

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State of Palestine: Prices of basic commodities in Gaza

Palestinian Central Bureau of Statistics

600+ Downloads

Time Period of the Dataset [?]: September 01, 2023-April 30, 2025 ... More

This dataset updates: Every month

The dataset contains information on the price of basic commodities in Gaza before and after hostilities.

XLSX

HDX HAPI Data for Zimbabwe

HDX Humanitarian API Data

600+ Downloads

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

This dataset updates: Every day

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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HDX HAPI Data for Zambia

HDX Humanitarian API Data

400+ Downloads

Time Period of the Dataset [?]: January 01, 1997-December 31, 2027 ... 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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HDX HAPI Data for South Africa

HDX Humanitarian API Data

400+ Downloads

Time Period of the Dataset [?]: January 01, 1997-April 30, 2025 ... More

This dataset updates: Every day

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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HDX HAPI Data for Yemen

HDX Humanitarian API Data

600+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2027 ... More

This dataset updates: Every day

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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HDX HAPI Data for Vanuatu

HDX Humanitarian API Data

300+ Downloads

Time Period of the Dataset [?]: January 01, 2008-December 31, 2027 ... More

This dataset updates: Every day

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.

CSV

HDX HAPI Data for Viet Nam

HDX Humanitarian API Data

300+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2026 ... 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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HDX HAPI Data for Venezuela (Bolivarian Republic of)

HDX Humanitarian API Data

400+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2026 ... More

This dataset updates: Every day

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.

CSV

HDX HAPI Data for Uzbekistan

HDX Humanitarian API Data

200+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2025 ... More

This dataset updates: Every day

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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HDX HAPI Data for Ukraine

HDX Humanitarian API Data

500+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2027 ... More

This dataset updates: Every day

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.

CSV