WFP - World Food Programme

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  • 100+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 100+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 50+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 90+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 50+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 60+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 50+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 40+ Downloads
    Time Period of the Dataset [?]: April 19, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 60+ Downloads
    Time Period of the Dataset [?]: May 25, 2024-April 19, 2025 ... More
    Modified [?]: 19 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 100+ Downloads
    Time Period of the Dataset [?]: July 07, 2024-April 18, 2025 ... More
    Modified [?]: 18 April 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)โ€™s global hunger monitoring system. It combines key metrics from various data sources โ€“ such as food security information, weather, population size, conflict, hazards, nutrition information and macro-economic data โ€“ 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).
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 200+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 December 2022
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.
  • 100+ Downloads
    Time Period of the Dataset [?]: July 01, 2002-April 10, 2025 ... More
    Modified [?]: 14 April 2025
    Dataset Added on HDX [?]: 13 July 2023
    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.