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  • 90+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 1950-December 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
  • 20+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 2017-December 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
  • 600+ Downloads
    Updated 16 March 2020 | Dataset date: September 30, 2019-September 30, 2019
    This dataset updates: As needed
    Rainfall distribution in Sudan for a 2010-2019. The data-set was created using observed data from the Sudan Meteorological Authority. All measurements in millimeters.
  • 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 - by first-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de première niveau – estimé 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 : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risque d’inondation et l’attente maximale attendue des inondations. Original dataset title: ICA Mauritania, 2017 - Flood Risk, 2013
  • Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the natural shock risk (floods and droughts) - by first-level administrative unit - estimated during the Integrated Context Analysis (ICA) performed in Mauritania in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) - par unité administrative de première niveau - estimé 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 : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015. Original dataset title: ICA Mauritania, 2017 - Natural Shock Risk
  • 100+ Downloads
    Updated 27 January 2020 | Dataset date: June 01, 2014-June 30, 2014
    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 Original dataset title: Malawi, Flood Risk, June 2014
  • 40+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2000-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 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. Original dataset title: ICA Malawi, 2014 - Flood Risk, 2000-2013
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Mauritania in 2017, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Mauritanie en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). 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. Original dataset title: ICA Mauritania, 2017 - ICA Categories & Areas
  • 50+ 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 - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali 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 : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risuqe d’inondation et l’attente maximale attendue des inondations. Original dataset title: ICA Mali, 2017 - Flood Risk, 2013
  • Updated 27 January 2020 | Dataset date: January 01, 2015-December 31, 2015
    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 Lesotho in 2015. Data source: UNEP/UNISDR GAR 2013, HQ VAM Analysis of NDVI data, 1998-2013. Original dataset title: ICA Lesotho, 2015 - Natural Shocks
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Mali in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Mali 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 : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015. Original dataset title: ICA Mali, 2017 - Natural Shock Risk
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Mali in 2017, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Mali en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations et sècheresse). 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. Original dataset title: ICA Mali, 2017 - ICA Categories & Areas
  • 50+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    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. Original dataset title: ICA Malawi, 2014 - Natural Shocks Risk
  • Updated 27 January 2020 | Dataset date: January 01, 2009-December 31, 2009
    This dataset updates: As needed
    No abstract provided Original dataset title: Stability: Floods and mudflow risk, Ministry of Emergency Situations 2009
  • 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 Lesotho in 2015. Data source: UNEP/UNISDR GAR 2013. The key indicator used for the analysis was the percentage of surface area at risk of flooding. Original dataset title: ICA Lesotho, 2015 - Flood Risk, 2013
  • 50+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    The layer shows counties that were affected by floods during the March-May long rains season in Kenya. The layer was generated from information sourced from NDMA, OCHA and WFP Kenya on areas affected and estimated number of people affected by range categories. The layer was generated by RBN VAM in June 2018 to showcase the effects of long rains seasons on socio-front. Original dataset title: ken_nhr_floods_wfp_2018
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Jordan in 2019, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks (floods and droughts). Original dataset title: ICA Jordan, 2019 - ICA Categories & Areas
  • 50+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2011
    This dataset updates: As needed
    This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data source: UNEP/UNISDR GAR 2011. The key indicators used for the analysis were the maximum expected frequency of flood events and the percentage of flood affected area by municipality. Original dataset title: ICA Honduras, 2017 - Flood Risk, 2011
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the natural shock (floods, landslides and droughts) risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data sources: UNEP/UNISDR GAR 2011, Comisión Permanente de Contingencias (COPECO) 2012-2017. Original dataset title: ICA Honduras, 2017 - Natural Shock Risk
  • 100+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 1998-December 31, 2010
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: MultiRisk Analysis using 1998-2010 data, realized by WFP with OCHA and CNIGS in 2014. This analysis is part of the "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". The indicators used for the analysis were the surface of the flooded areas, flood frequency, flood depth, Digital Elevation Model (DEM), land typology (hydrogeology and geology) and drainage systems. Cette couche contient informations regard le risque d'inondations estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: Analyse Multi Risque, 1998-2010, realisée par le PAM avec OCHA et CNIGS en 2014. L'analyse fait partie du document "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Les indicateurs principaux utilisés pour l'analyse étaient les zones d'inondations, la récurrence d'inondations, la profondeur des inondations, le Digital Elevation Model (DEM), la typologie du sol (hydrogéologie et géologie) et le réseau de drainage. Original dataset title: ICA Haiti, 2017 - Flood Risk, 1998-2010
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 1998-December 31, 2010
    This dataset updates: As needed
    This layer contains information about the rapid on-set shocks risk (floods, landslides and cyclones) estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: MultiRisk Analysis using 1998-2010 data, realized by WFP with OCHA and CNIGS in 2014. This analysis is part of the "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Cette couche contient informations regard le risque de chocs de déclenchement rapide (inondations, glissements de terrain et cyclones) estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: Analyse Multi Risque, 1998-2010, realisée par le PAM avec OCHA et CNIGS en 2014. L'analyse fait partie du document "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Original dataset title: ICA Haiti, 2017 - Rapid On-Set Shocks Risk, 1998-2010
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 1998-December 31, 2010
    This dataset updates: As needed
    This layer contains information about the combined natural shocks risk (floods, landslides, cyclones and drought) estimated during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: MultiRisk Analysis using 1998-2010 data, realized by WFP with OCHA and CNIGS in 2014. This analysis is part of the "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Cette couche contient informations regard le risque combiné des chocs naturels (inondations, glissements de terrain, cyclones et sècheresse) estimé pendant l'Analyse Integrée du Contexte (AIC) effectuée en Haiti en 2017. Source des données: Analyse Multi Risque, 1998-2010, realisée par le PAM avec OCHA et CNIGS en 2014. L'analyse fait partie du document "Analysis of Multiple Natural Hazards in Haiti (NATHAT)". Original dataset title: ICA Haiti, 2017 - Natural Shocks Risk, 1998-2010
  • 40+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    This layer contains information about the flood hazard estimated and used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: WFP JOCO analysis of national rainfall intensity data from MWI (Ministry of Water and Irrigation) and 30m Digital Elevation Model (DEM) through the Watershed Modeling System (WMS). The main indicator used for the analysis was the normalized flood intensity, expressed as the ratio between the peak flow and the drainage area. For more information about the flood hazard analysis, please find the flood hazard map report at the following link: https://www.wfp.org/publications/2019-flood-hazard-map-jordan Original dataset title: ICA Jordan, 2019 - Flood hazard, 2019
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    This layer contains information about the severity of the combined natural hazards (droughts and floods) used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: WFP JOCO analysis of national rainfall intensity data from MWI (Ministry of Water and Irrigation) and 30m Digital Elevation Model (DEM) through the Watershed Modeling System (WMS), “CDI Validation summary report and drought vulnerability maps”, UNDP 2018. Original dataset title: ICA Jordan, 2019 - Natural shocks hazard
  • 10+ Downloads
    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 resulting from the Integrated Context Analysis (ICA) run in Honduras in 2017, showing areas of convergence between high levels of economic fragility, used as a proxy for food insecurity, and propensity to natural shocks (floods, landslides and droughts). Original dataset title: ICA Honduras, 2017 - ICA Categories & Areas