WFP - World Food Programme
Last updated on 5 August 2021
Interactive Data
Global Food Prices Data
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  • 7600+ Downloads
    Updated 5 August 2021 | Dataset date: March 10, 2020-May 27, 2021
    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
  • 40+ Downloads
    Updated 27 January 2020 | Dataset date: June 02, 2017-June 02, 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
  • 50+ Downloads
    Updated 27 January 2020 | Dataset date: June 02, 2017-June 02, 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 27 January 2020 | Dataset date: June 07, 2017-June 07, 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
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: June 06, 2017-June 06, 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 27 January 2020 | Dataset date: January 01, 1981-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates, 1981-2015 (the time frame considered is considerably different compared to the one used in the 2016 ICA). The key indicator used is the number of poor growing seasons. Original dataset title: ICA Armenia, 2017 - Drought Risk, 1981-2015
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the ICA update performed in 2017. Data source: UNEP/UNISDR Global Assessment of Risk (GAR) 2013. The key indicators used for the analysis are the percentage of flood affected surface and the maximum expected frequency of flood events (with a 100-years return time period). Original dataset title: ICA Armenia, 2016 & 2017 - Flood Risk, 2013
  • 50+ Downloads
    Updated 27 January 2020 | Dataset date: May 01, 2016-May 31, 2016
    This dataset updates: As needed
    Security issue by settlement Original dataset title: Afghanistan Areas of control by settlement - May 2016
  • Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: As needed
    This layer contains information about the mudflow risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: Armenia Hydrometeorological Monitoring Service, 2012. The key indicators used for the analysis are the percentage of mudflow affected area and the overall level of mudflow risk Original dataset title: ICA Armenia, 2016 & 2017 - Mudflow Risk, 2012
  • Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the overall risk of natural shocks estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS RFE 1981-2015, Armenia HydroMeteorological Monitoring Service 2012. Original dataset title: ICA Armenia, 2017 - Natural Shocks Risk
  • Updated 27 January 2020 | Dataset date: January 01, 2010-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the food insecurity recurrence and variability estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: Integrated Living Condition Surveys (ILCS), 2010-2015. The key indicator used is the food security classification developed under the Comprehensive Food Security Vulnerability and Nutrition Analysis (CFSVNA), considering a 15% threshold since only severe food insecurity was used for the analysis. Original dataset title: ICA Armenia, 2017 - Food Insecurity Recurrence & Variability, 2010-2015
  • Updated 27 January 2020 | Dataset date: January 01, 2010-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the estimates of food insecure population for long-term planning and the additional food insecure people in case of a major shock. Data source: Integrated Living Condition Surveys (ILCS) 2010-2015. Original dataset title: ICA Armenia, 2017 - Estimated Numbers of Food Insecure People, 2010-2015
  • Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Armenia in 2017, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks. Original dataset title: ICA Armenia, 2017 - ICA Categories & Areas
  • Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: As needed
    This layer contains information about the hail storm and frost risk estimated during the Integrated Context Analysis (ICA) run in Armenia in 2017. Data source: Armenia Hydrometeorological Monitoring Service, 2012. The key indicators used for the analysis were the number of hail storm days recorded per year and the overall level of frost risk. Original dataset title: ICA Armenia, 2017 - Additional Hazards, 2012
  • Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the nutrition levels estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: Integrated Living Condition Surveys (ILCS) 2014. The key indicators used for the analysis were the prevalence of stunting and overweight in children below 5 years of age, considering respectively a 20% and a 15% percent threshold. Original dataset title: ICA Armenia, 2016 & 2017 - Malnutrition, 2014
  • Updated 27 January 2020 | Dataset date: January 01, 2001-December 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon calculated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS 2001-2012. The key indicators used for the analysis were the average ecological change observed in the reference period and the percentage of surface prone to erosion. Original dataset title: ICA Armenia, 2016 & 2017 - Land Degradation, 2001-2012
  • Updated 27 January 2020 | Dataset date: January 01, 2010-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the food insecurity recurrence and variability estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. Data source: Integrated Living Condition Surveys (ILCS), 2010-2014. The key indicator used is the food security classification developed under the Comprehensive Food Security Vulnerability and Nutrition Analysis (CFSVNA), considering a 15% threshold since only severe food insecurity was used for the analysis. Original dataset title: ICA Armenia, 2016 - Food Insecurity Recurrence, 2010-2014
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2018
    This dataset updates: As needed
    This layer contains information about the drought hazard estimated during the Integrated Context Analysis (ICA) performed in Afghanistan in 2019. Data source: HQ VAM Analysis of NDVI, NASA Terra MODIS 2013-2018. The key indicator used for the purposes of the analysis was the average number of poor growing seasons observed in the time frame of interest - by definition, in the context of this specific analysis, it is considered a poor growing season when the NDVI observed in the single year is significantly below (less than 85%) the long-term average, calculated over the last 18 years. Original dataset title: ICA Afghanistan, 2019 - Drought hazard, 2013-2018
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2014
    This dataset updates: As needed
    ALCS 2013/14 (CSO Original dataset title: Afghanistan Percentage of Food Insecure Population Based on Combined Food Consumption Score and Coping Strategy Index by Province - ALCS 2013/14
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2009-December 31, 2009
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. The results are still valid for the new ICA performed in 2019. Data source: NATO Global Hazard Model (GHM), 2009. The key indicators used for the analysis were the percentage of surface affected by flood risk and the maximum depth recorded during the flood events. Original dataset title: ICA Afghanistan, 2016 & 2019 - Flood Hazard, 2009
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 2011-2015. The key indicator used for the analysis was the overall number of poor growing seasons. Original dataset title: ICA Afghanistan, 2016 - Drought Risk, 2011-2015
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2013. The key indicators used for the analysis were the percentage of surface area affected by landslide risk and the maximum expected frequency of landslide events. Original dataset title: ICA Afghanistan, 2016 - Landslide Risk, 2013
  • Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the risk of rapid on-set shocks (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO Global Hazard Model 2009, UNEP/UNISDR GAR 2013. Original dataset title: ICA Afghanistan, 2016 - Rapid On-Set Shocks Risk
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the natural shocks risk (floods, droughts and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO GHM 2009, HQ VAM Analysis of CHIRPS RFE 2011-2015, UNEP/UNISDR GAR 2013, Original dataset title: ICA Afghanistan, 2016 - Natural Shocks Risk
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: August 01, 2007-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the food insecurity levels estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Risk and Vulnerability Assessment (NRVA) 2007/08, Afghanistan Living Condition Survey (ALCS) 2011/12 and 2014. To assess the food security trend, the threshold was set to 30% because very close to the national average according to the three assessments considered. The key indicators used for the analysis were the recurrences above the threshold, the average against national average and variability/stability. Original dataset title: ICA Afghanistan, 2016 - Food Insecurity Risk, 2007/08-2014