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  • Updated December 15, 2019 | Dataset date: May 30, 2019
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface.
  • Updated December 15, 2019 | Dataset date: Jul 9, 2019
    This dataset updates: As needed
    Accessibility information by WFP Operation/Security Units, July 09, 2019
  • Updated December 15, 2019 | Dataset date: May 30, 2019
    This dataset updates: As needed
    This layer contains information about the number of food insecure people calculated out of the food security assessments used in the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data sources: The key indicators used for the purposes of the analysis were the percentage of food insecure people for long-term planning and the numbers of additional food insecure people in case of a major shock.
  • Updated December 14, 2019 | 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
  • Updated December 14, 2019 | 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 December 14, 2019 | 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.
  • Updated December 14, 2019 | 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
  • Updated December 14, 2019 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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
  • Updated December 14, 2019 | 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
  • Updated December 14, 2019 | 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
  • Updated December 14, 2019 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • Updated December 14, 2019 | 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
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    No abstract provided
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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).
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Dec 5, 2018
    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
  • Updated December 14, 2019 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler