WFP - World Food Programme
Last updated on December 15, 2019
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  • Updated December 14, 2019 | Dataset date: Oct 23, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by first-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2013, WorldClim 1970-2000, FAO data and NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de première niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2013, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. 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.
  • Updated December 14, 2019 | Dataset date: Oct 23, 2018
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Mauritania i 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. The main indicator used for the analysis was the average prevalence of Global Acute Malnutrition (GAM), classified according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. L’indicateur principale utilisé pour l’analyse était la prévalence moyenne de Malnutrition Aigüe Globale (MAG), classifiée selon les normes et la gamme de valeurs classés de l’OMS 2006.
  • Updated December 14, 2019 | Dataset date: Oct 23, 2018
    This dataset updates: As needed
    This layer contains information about the projected population figures - by first-level administrative area - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mauritania in 2017. Data source: WFP Mauritania Country Office, 2016. The main indicator used for the analysis was the projected population figures for 2016. Cette couche contient informations regard le nombre de personne projeté - par unité administrative première niveau - utilisé par l'Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. Source des données: WFP Bureau du Pays, 2016. L'indicateur principale utilisé pour l'analyse était le la population projetée en 2016 par unité administrative de deuxième niveau.
  • Updated December 14, 2019 | Dataset date: Oct 23, 2018
    This dataset updates: As needed
    This layer contains information about the numbers of food insecure people - by first-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS), 2011-2015. The main indicators used for the analysis are the percentage of food insecure population for long-term planning, the most vulnerable food insecure people and the additional population figures in case of a major shock. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de première niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS), 2011-2015. Les indicateurs principaux utilisés pour l'analyse étaient la pourcentage de population exposée à l'insécurité alimentaire pour la planification à long-terme, la population la plus vulnerable et le nombre de personnes supplémentaires en cas de choc.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the malnutrition levels estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Demographic and Health Survey (DHS), 2010. The key indicators used for the analysis were the prevalence of stunting and Global Acute Malnutrition (GAM) in children aged below 5 years.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the predominant livelihood zones - by district level - identified during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Malawi Vulnerability Assessment Committee (MVAC), 2009.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the recurrence of food insecurity observed during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Comprehensive Food Security and Vulnerability Analysis (CFSVA) 2009, Integrated Household Survey (IHS) 2010-2011, urban and rural Emergency Food Security Assessment (EFSA) 2012-2013. The key indicator used for the analysis was the recurrence of Food Consumption Score (FCS) over the 30% threshold.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the combined natural shocks risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Department of Disaster Management Affairs (DoDMA) 2000-2013, VAM - MEPED, Ministry of Finance and Economic Planning and Development 2004-2013.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: European Space Agency, 1990-2010. Local land degradation data were not available for the purposes of this analysis, therefore a deforestation analysis was performed using remotely sensed land cover data. The key indicators used for the analysis were the percentage and the overall surface of vegetation cover loss.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the estimated numbers of food insecure people used in the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Malawi Vulnerability Assessment Committee (MVAC) & Household Economic Analysis (HEA), 2009-2013. The key indicators used for the analysis were the food insecure population figures and percentages.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) run in Malawi in 2014, showing areas of convergence between recurrence of food insecurity and high propensity to natural shocks.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Ministry of Finance and Economic Planning and Development, 2004-2013. The key indicator used for the analysis was the number of occurrences, triangulated with a 19-years and 5-years rainfall trend analysis to better understand the recent and long-term exposure to droughts.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Department of Disasters Management Affairs (DoDMA) 2000-2013, VAM - MEPED. The key indicator used for the analysis was the historical number of flood events.
  • Updated December 14, 2019 | Dataset date: May 31, 2017
    This dataset updates: As needed
    This layer contains information about the flood risk in Malawi, as analysed by the ICA. The key indicator used for the analysis is the flood frequency between 2000 and 2013. Source: CO VAM Malawi - MEPED & DoDMA
  • Updated December 14, 2019 | Dataset date: Dec 3, 2018
    This dataset updates: As needed
    This layer contains information about the numbers of food insecure people - by second-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2014. Data source: Emergency Food Security Analysis (EFSA) 2013. The main indicator used for the analysis was the food insecure population for long-term planning. Cette couche contient informations regard les nombres de personnes exposées à l'insécurité alimentaire - par unité administrative de deuxième niveau - employées pendant l'Analyse Integrée du Contexte (AIC) executée en Mali en 2014. Source des données: Emergency Food Security Analysis (EFSA) 2013. L'indicateur principale utilisé pour l'analyse était la population exposée à l'insécurité alimentaire pour la planification à long-terme.
  • Updated December 14, 2019 | Dataset date: Dec 3, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Mali in 2014, showing the areas of convergence of high levels of food insecurity and malnutrition and major propensity to natural shocks (floods, droughts and erosion). Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Mali en 2014, montrant les zones de convergence de niveaux elevés d'insécurité alimentaire et malnutrition et propension aux chocs naturels (inondations, sècheresse et érosion).
  • Updated December 14, 2019 | Dataset date: May 31, 2017
    This dataset updates: As needed
    This layer contains information about the drought risk in Malawi, as analysed by the ICA. The key indicator used for the analysis was the number of poor growing seasons in the period between 2004 and 2013. Source: Malawi CO VAM, MEPED & DoDMA
  • Updated December 14, 2019 | Dataset date: May 16, 2019
    This dataset updates: As needed
    This layer contains the first-level administrative unit boundaries (provinces) for Malawi. Data source: WFP Provinces = Southern Region (1980); Central Region (1888); Northern Region (1889); Area Under National Administration (4)
  • Updated December 14, 2019 | Dataset date: May 16, 2019
    This dataset updates: As needed
    This layer contains the second-level administrative unit boundaries (districts) for Malawi. Data source: WFP Districts
  • Updated December 14, 2019 | Dataset date: Jun 15, 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 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: 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: Apr 24, 2016
    This dataset updates: As needed
    No abstract provided
  • Updated December 14, 2019 | Dataset date: Apr 25, 2016
    This dataset updates: As needed
    No abstract provided