WFP - World Food Programme Humanitarian Data | 446 Datasets

WFP Global Market Monitor

600+ Downloads

Time Period of the Dataset [?]: May 19, 2021-May 16, 2025 ... More

This dataset updates: Every two weeks

The WFP Global Market Monitor monitors food prices in markets across a range of countries globally. The resources are updated every other week, with country data updating based on when data is received from country offices.

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Yemen - HungerMap data

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: May 16, 2024-May 16, 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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Ukraine - HungerMap data

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: May 16, 2024-May 16, 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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Nigeria - HungerMap data

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: July 07, 2024-May 16, 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 16, 2024-May 16, 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 16, 2024-May 16, 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 16, 2024-May 16, 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 16, 2024-May 16, 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 16, 2024-May 16, 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 16, 2024-May 16, 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

100+ Downloads

Time Period of the Dataset [?]: May 25, 2024-May 16, 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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Somalia - road network and access constraints

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: April 11, 2017-April 11, 2017 ... More

This dataset updates: Every two weeks

This dataset is an extraction of the WFP database following UNSDI-T standards. See "Attributes" tab for more information on the data structure. Roads are displayed here according to their functional class (fclass). It contains as well information on current status of the roads, as per latest Road Access Constraints map from Logistics Cluster. The dataset was updated on 11 April 2017. For more information on attributes, please go check the layer on WFP geonode:

SHP

COVID-19 Global Travel Restrictions and Airline Information

WFP - World Food Programme

9600+ Downloads

Time Period of the Dataset [?]: March 16, 2020-March 10, 2023 ... More

This dataset updates: Every day

This data has been collected from various sources and is displayed in this online dashboard: https://geonode.wfp.org/travel Mobile version: https://geonode.wfp.org/travel_mobile The data is divided in two datasets: COVID-19 restrictions by country: This dataset shows current travel restrictions. Information is collected from various sources: IATA, media, national sources, WFP internal or any other. COVID-19 airline restrictions information: This dataset shows restrictions taken by individual airlines or country. Information is collected again from various sources including WFP internal and public sources. The data displayed is a collaborative effort and anybody with more accurate/updated information is highly encouraged to contact WFP GIS unit for Emergencies at the following email address: hq.gis@wfp.org

Iraq: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

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Madagascar: Rainfall Indicators at Subnational Level

WFP - World Food Programme

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

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Philippines: Rainfall Indicators at Subnational Level

WFP - World Food Programme

900+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

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Malawi: Rainfall Indicators at Subnational Level

WFP - World Food Programme

500+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

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Viet Nam: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

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Angola: NDVI at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: July 01, 2002-April 21, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - NDVI at Subnational Level

This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): 10 day NDVI (vim) NDVI long term average (vim_lta) 10 day NDVI anomaly [%] (viq) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Armenia: NDVI at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: July 01, 2002-April 21, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - NDVI at Subnational Level

This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): 10 day NDVI (vim) NDVI long term average (vim_lta) 10 day NDVI anomaly [%] (viq) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Brazil: Rainfall Indicators at Subnational Level

WFP - World Food Programme

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Thailand: Rainfall Indicators at Subnational Level

WFP - World Food Programme

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Thailand: NDVI at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: July 01, 2002-April 30, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - NDVI at Subnational Level

This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units. Included indicators are (for each dekad): 10 day NDVI (vim) NDVI long term average (vim_lta) 10 day NDVI anomaly [%] (viq) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Mexico: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV

Vanuatu: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-May 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.

CSV