WFP - World Food Programme
Last updated on April 6, 2020
Interactive Data
Global Food Prices Data
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  • 800+ Downloads
    Updated April 5, 2020 | Dataset date: Mar 10, 2020-Apr 30, 2020
    This dataset updates: Every day
    This data has been collected from various sources and is displayed in this online dashboard: http://arcg.is/uHyuO Mobile version: http://arcg.is/0q8Xfj 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2013. The key indicator used was the percentage of flood affected areas. Original dataset title: ICA Zimbabwe, 2015 - Flood Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 1998-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Water Requirement Satisfaction Index (WRSI) 2000-2013, Normalized Difference Vegetation Index (NDVI) 1998-2012. The key indicators used were the frequency of poor growing seasons and the recurrence of WRSI below the threshold, set to 59% (percentage of district area where poorer crop performance is a result of water stress conditions). Original dataset title: ICA Zimbabwe, 2015 - Drought Risk, 1998-2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the natural shocks (floods and droughts) risk estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: UNEP/UNISDR GAR 2013, WRSI 2000-2013, NDVI 1998-2012. Original dataset title: ICA Zimbabwe, 2015 - Natural Shocks Risk
  • Updated January 27, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the recurrence of food insecurity calculated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: ZIMVAC 2009-2013, Fewsnet 2009-2013. The key indicator used for the analysis was the recurrence of food insecurity among 20% or above of the population. The 20% threshold was set in order to represent 1 or more out of 5 households/people from the total district population as food insecure. Original dataset title: ICA Zimbabwe, 2015 - Recurrence of Food Insecurity, 2009-2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in Zimbabwe in 2015, showing areas of convergence between high recurrence of food insecurity and propensity to natural shocks. Original dataset title: ICA Zimbabwe, 2015 - ICA Categories & Areas
  • Updated January 27, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the estimated figures and percentages - by district population - of food insecure population resulting from the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: ZIMVAC, 2009-2013. The key indicators used for the analysis were figures and percentages of food insecure population, used for long-term planning Original dataset title: ICA Zimbabwe, 2015 - Food Insecure Population for Long-Term Planning, 2009-2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the overall tree cover loss estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. In absence of land degradation data, a deforestation analysis was performed using remotely sensed data as a proxy. Data source: Hansen/UMD/Google/USGS/NASA, 2000-2012. The key indicators used for the analysis were the district surface affected by tree cover loss and the percentage value compared to the total district area. Original dataset title: ICA Zimbabwe, 2015 - Tree Cover Loss, 2000-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the malnutrition levels observed during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: National Nutrition Survey (NNS), 2010. The key indicator used for the analysis was the prevalence of stunting in children aged under 5 years. The prevalence of wasting was not used as a malnutrition indicator for the purposes of this analysis because it was found within acceptable limits (GAM < 2.4%) all over the country. Original dataset title: ICA Zimbabwe, 2015 - Prevalence of Stunting, 2010
  • Updated January 27, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the predominant livelihood zones identified during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Zimbabwe Country Office, 2012. The twenty-four main livelihood zones identified by the CO were reclassified into nine broad categories to make the visualization easier. Original dataset title: ICA Zimbabwe, 2015 - Predominant Livelihood Zones, 2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2007
    This dataset updates: As needed
    This layer contains information about the most relevant human settlements considered during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Global Discovery, 2007. Original dataset title: ICA Zimbabwe, 2015 - Human Settlements, 2007
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 1, 2017
    This dataset updates: As needed
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 7, 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
  • 60+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    A Population technical workgroup was formed in Sana’a (IOM, UNFPA, OCHA, NAMCHA and CSO ) and another one in Aden (IOM, OCHA, CSO, MOPIC including Executive Unit). IDP data flow figures (from district to district) were collected, cross checked between different sources (IOM DTM, NAMCHA, Executive unit) in cases multiple datasets for the same location were available. This resulted in a country-wide IDP movement database. The TWGs agreed to use this database to calculate the estimated population using the following formula : Estimated Population = CSO projected population( 2019) – IDPS who left the district + idps who came to the district All members in both workgroups agreed on the final results on 3 Dec 2018. The attached dataset represents the results of the work of both groups and will be used for 2019 HNO and HRP. Maintaining up to date population figures going forward Both TWGs are discussing the frequency of population figures updates for 2019. The intent is to agree on quarterly updates, using the same methodological approach Original dataset title: Yemen Population Estimates 2019
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 30+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    No abstract provided
  • Updated January 27, 2020 | Dataset date: Feb 5, 2019
    This dataset updates: As needed
    This layer contains an abstract of the partners that have been identified for the LEO. Original dataset title: Location of partners as of Feb. 5, 2019
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 7, 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
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 15, 2017
    This dataset updates: As needed
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • Updated January 27, 2020 | Dataset date: Jun 14, 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
  • Updated January 27, 2020 | Dataset date: Jun 14, 2017
    This dataset updates: As needed
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 7, 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