WFP - World Food Programme
Last updated on September 27, 2020
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Global Food Prices Data
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  • 60+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 8, 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 April 17, 2020 | Dataset date: Jan 1, 2006-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the recurrence of poverty incidence - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data sources: Philippines National Statistical Coordination Board (NSCB), 2006-2012. It should be noted that, in absence of national food security information, poverty data has been used as a proxy to food insecurity - assuming that families below the poverty line are likely to be food insecure. Also, in the Philippines official methodology, the poverty line may be viewed as the minimum income required to meet food requirements as well as non-food basic needs. The main indicator used for the analysis was the recurrence of poverty incidence, with a threshold set to 30% of the families to represent 1 out of 3 people below the poverty line. Original dataset title: ICA Philippines, 2014 - Recurrence of Poverty Incidence, 2006-2012
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the estimated numbers of people living below the poverty line used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Philippines National Statistical Coordination Board (NSCB), 2012. Original dataset title: ICA Philippines, 2014 - Estimated Numbers of People living below the Poverty Line, 2012
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the occurrence of tropical storms above Category 3 - according to the Saffir-Simpson scale and by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Oceanic and Atmospheric Administration (NOAA) IBTrACS, 2002-2012. The main indicator used for the analysis was the number of times that a province was hit, in the time frame of interest, by a tropical storm above Category 3. Original dataset title: ICA Philippines, 2014 - Tropical Storm (above Category 3) Occurrence, 2002-2012
  • 30+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: As needed
    This layer contains information about the average flood risk - by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Household Targeting System and Mines and Geosciences Bureau. The main indicator used for the analysis was the average flood risk by barangay reaggregated by province level. Original dataset title: ICA Philippines, 2014 - Flood Risk, 2014
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: As needed
    This layer contains information about the average landslide risk - by second-level administrative area - used for the purposes of the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: National Household Targeting System and Mines and Geosciences Bureau. The main indicator used for the analysis was the average flandslide risk by barangay reaggregated by province level. Original dataset title: ICA Philippines, 2014 - Average Landslide Risk, 2014
  • 20+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the changes in tree cover density - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Landsat Vegetation Continuous Fields (VCF), 2000-2010. It should be noted that, in absence of livelihood data, land cover was used as a proxy for rural livelihoods. The main indicator used for the analysis was the average provincial trend of tree cover change in the last ten years. Original dataset title: ICA Philippines, 2014 - Tree Cover Change, 2000-2010
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 1, 2018
    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 April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: As needed
    This layer contains information about the final classification resulting from the Integrated Context Analysis (ICA) run in the Philippines in 2014, showing the areas of convergence between recurrence of poverty incidence and propensity to natural shocks (floods, tropical storms, landslides and tree cover change). Original dataset title: ICA Philippines, 2014 - ICA Categories & Focus Areas
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 1, 2018
    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
  • 40+ Downloads
    Updated April 17, 2020 | Dataset date: Jun 17, 2019
    This dataset updates: As needed
    This layer includes administrative boundaries level 1 as per the standard structure of the GeoEnabler project. Admin1
  • 40+ Downloads
    Updated April 17, 2020 | Dataset date: Jun 17, 2019
    This dataset updates: As needed
    This layer includes Administrative Boundaries Level 2 as per the standard structure of the GeoEnabler project.
  • Updated January 27, 2020 | Dataset date: Nov 27, 2018
    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: https://geonode.wfp.org/documents/6823/download
  • Updated January 27, 2020 | Dataset date: Nov 27, 2018
    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: https://geonode.wfp.org/documents/6823/download
  • 20+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 1950-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. The indicator used was the number of flood events recorded between 1950 and 2015 and the severity by which they were affected by the super-flood in 2010. Source: National Disaster Management Agency (NDMA) for Pakistan. Original dataset title: ICA Pakistan, 2017 - Flood Hazard, 1950-2015
  • Updated April 17, 2020 | Dataset date: Jan 1, 1951-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Data source: National Drought Monitoring Centre of the Pakistan Meteorological Department (PMD), 1951-2010. The key indicator used for the analysis was a drought hazard index based on SPI data. Original dataset title: ICA Pakistan, 2017 - Drought Hazard, 1951-2010
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the reclassification of the natural shocks risk (floods and drought) into a single combined score according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Original dataset title: ICA Pakistan, 2017 - Combined Hazard (Floods and Droughts)
  • Updated April 17, 2020 | Dataset date: Jan 1, 2004-Dec 31, 2014
    This dataset updates: As needed
    This layer contains information about the risk of food insecurity according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Given that no other food security outcome data was available at district level for the whole country, the analysis was carried out using poverty data as a proxy for vulnerability to food insecurity. Data source: UNDP, 2004/05 to 2005/06. The key indicator used for the analysis was the Multi-Dimensional Poverty Index (MPI), with the threshold set to 0.329 - average of all the district-level observations over 6 PSLM rounds. It should be noted that 33 districts in the country did not have MPI data available and are not covered by this specific analysis. Original dataset title: ICA Pakistan, 2017 - Recurrence of Vulnerability to Food Insecurity, 2004-2014
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA), run in Pakistan in 2017, showing areas of convergence between high recurrence of food insecurity and high propensity to natural shocks. Original dataset title: ICA Pakistan, 2017 - ICA Categories & Areas
  • Updated April 17, 2020 | Dataset date: Jan 1, 1992-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Pakistan in 2017. Data source: ESA (300m resolution) 1992-2015, FAO (lithology), WorldClim (rainfall incidence), land cover (NASA MODIS) and slope length (NASA SRTM digital elevation model). The key indicators used for the analysis were the average ecological change and the percentage of surface prone to erosion. It should be noted that land degradation, according to the current ICA methodology, is not a stand-alone map but has to be considered as a lens that, overlaid on top of the ICA Areas, provide further information to refine broad programmatic strategies. The brown-green scheme has just been used for the layer preview because, for the purposes of this analysis, only negative values of ecological change and districts with a surface prone to erosion above 20% have been used for the final map (see "ICA Pakistan, 2017 - Land Degradation 1992-2015" static map for further details). Original dataset title: ICA Pakistan, 2017 - Land Degradation, 1992-2015
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the additional environmental hazards - landslides, Glacial Lake Outburst Flood (GLOF) and earthquakes - estimated during the Integrated Context Analysis (ICA) run in Pakistan in 2017. Data source: NDMA 1950-2015 (landslides and GLOF), NDMA 1905-2015 (earthquakes). The key indicators used for the analysis were 5-point scales of hazard levels ranging from very low to very high. It should be noted that these additional hazards represent aggravating factors that can provide further details to refine broad programmatic strategies, but are not to be considered as stand-alone maps. For the purpose of this analysis, only the high and very high hazards have been mapped on top of the ICA Areas (see the relative static maps for further details). Original dataset title: ICA Pakistan, 2017 - Additional Hazards
  • Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the risk of food insecurity, in the Federally Administered Tribal Areas (FATA), according to the Integrated Context Analysis (ICA) performed in Pakistan in 2017. In absence of MPI data for FATA and considering existing circumstances and the importance of evidence based information, a different dataset has been used Data source: WFP In-depth Food Security and Livelihood Assessments 2014 & 2017, Multi-Cluster Humanitarian Needs Assessment 2016 The key indicator used for the analysis was the composite food insecurity rate developed under the Consolidated Approach to Reporting on Indicators of Food Security (CARI), with the threshold set to 38%. Original dataset title: ICA Pakistan, FATA, 2017 - Recurrence of Vulnerability to Food Insecurity, 2014-2017
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization, in the Federally Administered Tribal Areas (FATA), resulting from the Integrated Context Analysis (ICA) run in Pakistan in 2017, showing areas of convergence between high levels of food insecurity and propensity to natural shocks. Original dataset title: ICA Pakistan, FATA, 2017 - ICA Categories & Areas
  • Updated January 27, 2020 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: As needed
    No abstract provided Original dataset title: TEST ACR 2018 - WFP Activities in Pakistan
  • Updated April 17, 2020 | Dataset date: Aug 7, 2019
    This dataset updates: As needed
    Location of CMAM Surge sites in district Umerkot, Sindh