WFP - World Food Programme
Last updated on August 12, 2020
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Global Food Prices Data
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  • Updated January 27, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2017
    This dataset updates: As needed
    This layer contains the information about the soil erosion propensity calculated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: IEE Mapa de Sistemas Productivos, 2009-2017 (C Factor), NASA SRTM Digital Elevation Model 30m (LS Factor), Climatologies at High resolution for the Earth's Land Surface Areas (CHELSA), 1979-2013 (R Factor), Ministero de Agricultura, Ganaderia, Acuacultura y Pesca (MAGAP, K Factor). The main indicator used for the analysis was the percentage of erosion-prone surface by second-level administrative area. Original dataset title: ICA Ecuador, 2018 - Erosion Propensity, 2009-2017
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    This layer contains information about the frost hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Secretaria Nacional de Gestion de Riesgos, 2011. Original dataset title: ICA Ecuador, 2018 - Frost Hazard, 2011
  • Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    No abstract provided Original dataset title: Ecuador_OSM_Julio 2019
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011, flood vulnerability map by the Minister for the Environment, 1998. The key indicators used for the analysis were the maximum expected frequency of flood events and the percentage of flood affected area by municipality. Original dataset title: ICA Dominican Republic, 2017 - Flood Risk, 2011
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011. The key indicators used for the analysis were the maximum expected frequency of landslide events and the percentage of landslide affected area. Original dataset title: ICA Dominican Republic, 2017 - Landslide Risk, 2011
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the cyclone risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2013. The key indicator used for the analysis was the maximum expected frequency of cyclone events by municipality. Original dataset title: ICA Dominican Republic, 2017 - Cyclone Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: NASA MODIS, 2000-2015. The key indicator used for the analysis was ... Original dataset title: ICA Dominican Republic, 2017 - Drought Risk, 2000-2015
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the combined natural shocks risk (floods, landslides, cyclones and droughts) estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011 & 2013, NASA MODIS 2000-2015. Original dataset title: ICA Dominican Republic, 2017 - Natural Shocks Risk
  • Updated January 27, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the recurrence of food insecurity estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: Oficina Nacional de Estadistica (ONE), 2002-2010. The key indicator used for the analysis was the percentage of population - by municipality - whose monthly income is below the poverty threshold, which according to CEPAL, 2014 is 17.4% and that for the purposes of this analysis has been rounded up to 20%. Original dataset title: ICA Dominican Republic, 2017 - Recurrence of Food Insecurity, 2002-2010
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Dominican Republic in 2017, showing areas of convergence between high levels of food insecurity recurrence and propensity to natural shocks. Original dataset title: ICA Dominican Republic, 2017 - ICA Categories & Areas
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: NASA MODIS, 2001-2012. The key indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Original dataset title: ICA Dominican Republic, 2017 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the most predominant economic activity - proxy for livelihood zones - identified and used during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: Oficina Nacional de Estadistica (ONE), 2010. Original dataset title: ICA Dominican Republic, 2017 - Predominant Economic Activity, 2010
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    This layer contains information about the rapid on-set shocks risk (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011. Original dataset title: ICA Dominican Republic, 2017 - Rapid On-Set Shocks Risk, 2011
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: May 17, 2017
    This dataset updates: As needed
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • 30+ Downloads
    Updated January 27, 2020 | Dataset date: Nov 28, 2017
    This dataset updates: As needed
    This layer contains the first-level administrative boundaries (provinces) for DRC, validated by the Inter-Agency Information Management Working Group on July 26th, 2017.
  • 30+ Downloads
    Updated January 27, 2020 | Dataset date: Nov 28, 2017
    This dataset updates: As needed
    This layer contains the second-level administrative boundaries (districts) for DRC, validated by the IMWG on July 26th, 2017. 50 district units exist with the same name within the same province unit. They represent separate polygons for cities and their surrounding territories and are associated to unique pcodes.
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. The main indicators used for the analysis were the percentage of district surface at flood hazard, the maximum expected frequency of flood events and the number of flood events recorded by EMDAT between 1990 and 2017. Cette couche contient informations regard le risque d'inondations - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque d'inondation et la combination de l'attente maximale attendue des inondations selon UNEP/UNISDR et l'attente des inondations enregistrées par EMDAT entre 1990 et 2016. Original dataset title: ICA Democratic Republic of Congo, 2017 - Flood Hazard, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the landslide hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of district surface at landslide hazard, the maximum expected frequency of landslide events. Cette couche contient informations regard le risque des glissements de terraine - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque des glissements de terraine et l'attente maximale attendue des glissements de terraine. Original dataset title: ICA Democratic Republic of Congo, 2017 - Landslide Hazard, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the combined natural shock (floods and landslides) hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. Cette couche contient informations regard le risque des chocs naturals combinés (inondations, et glissements de terrain) - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) executé en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des données: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. Original dataset title: ICA Democratic Republic of Congo, 2017 - Natural Shock Hazard
  • Updated January 27, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the recurrence of food insecurity - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: IPC 2012-2017. The main indicator used for the analysis was the number of times that an IPC Phase 3 or above occurred per each district, classified using terciles (Low = 0-33%; Medium = 33-66%; High = 66-100%). Cette couche contient les données d'une analyse de tendance de la sécurité alimentaire - par unité administrative de deuxième niveau - employée pendant l'Analyse Integrée de Contexte (AIC) exécuté en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des données: IPC 2012-2017. L'indicateur principale utilisé pour l'analyse était le nombre de fois qu'il y a eu une phase IPC 3 ou supérieur en chaque cercle, classifiés par terciles (Faible = 0-33%; Moyen = 33-66%; Elevé = 66-100%). Original dataset title: ICA Democratic Republic of Congo, 2017 - Recurrence of Food Insecurity, 2012-2017
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) - by second-level administrative area - run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. The final categorization shows areas of convergence between high recurrence of food insecurity and propensity to natural shocks. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en République Démocratique du Congo en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Original dataset title: ICA Democratic Republic of Congo, 2017 - ICA Categories & Areas
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012 The main indicators used for the analysis were the average ecological change observed within the time window considered and the percentage of prone-erosion district surface. Cette couche contient les données necessaires pour déterminer le niveau de dégradation de terres - par unité administrative de deuxième niveau - observé pendant l'Analyse Integrée de Contexte (AIC) executée en République Démocratique du Congo en 2017. Source des données: HQ OSEP GIS Analyse de NASA MODIS, 2001-2012 Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Democratic Republic of Congo, 2017 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zone - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: Fewsnet, 2016. Cette couche contient informations regard le zones de moyens d'existence plus prédominant - par unité administrative de deuxième niveau - identifiés pendant l'Analyse Integrée du Contexte (AIC) executée en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des données: Fewsnet, 2016. Original dataset title: ICA Democratic Republic of Congo, 2017 - Most Predominant Livelihood Zones, 2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 1981-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the interannual rainfall variability estimated during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the maximum percentage of rainfall variability compared to the long-term average. Cette couche contient informations regard la variabilité interannulle des précipitations estimée pendant l'Analyse Integrée du Contexte (AIC) executée en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des donnés: HQ VAM Analyse de CHIRPS estimations des précipitations, 1981-2015. L'indicateur principal utilisé pour l'analyse était la pourcentage maxime de variabilité par rapport à la moyenne à long terme. Original dataset title: ICA Democratic Republic of Congo, 2017 - Inter-annual Rainfall Variability, 1981-2015
  • Updated January 27, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the recurrence of food insecurity - by second-level administrative area - resulting from the Emergency Food Security Assessments (EFSAs) used to integrate the food security analysis performed for the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The emergency assessments were performed in the hot-spot province of Sud-Kivu. Data source: Emergency Food Security Assessment (EFSA), 2012-2018. The main indicator used for the analysis was the recurrence of food insecurity conditions, using a threshold set to 20%. Cette couche contient les données d'une analyse de tendance de la sécurité alimentaire - par unité administrative de deuxième niveau - utilisée au fin de intégrer l'analyse employée pendant l'Analyse Integrée de Contexte (AIC) exécuté en République Démocratique du Congo en 2017. L'analyse additionelle a été executée dans trois dans la province de Sud-Kivu. Source des données: Emergency Food Security Assessment (EFSA), 2012-2018. L'indicateur principale utilisé pour l'analyse était la récurrence d'insécurité alimentaire, avec un seuil fixé à 20%. Original dataset title: ICA Democratic Republic of Congo, 2017 - Recurrence of Food Insecurity, EFSA 2012-2018