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  • 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
  • 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 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
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This layer contains information about the combined natural shock (floods, landslides and droughts) hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Ministerio de Agricultura, Ganaderia y Pesca (MAGAP), Secretaria Nacional de Gestion de Riesgos (SGR). Original dataset title: ICA Ecuador, 2018 - Natural Shock Hazard
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Ecuador in 2018, showing the areas of convergence of high levels of poverty incidence - used as a proxy for food insecurity - and major propensity to natural shocks (floods, landslides and droughts). Original dataset title: ICA Ecuador, 2018 - ICA Categories & Areas
  • 20+ 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 estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011, flood vulnerability map by the Minister for the Environment, 1998. 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 Dominican Republic, 2017 - Flood Risk, 2011
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2015-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the flood hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Ministerio de Agricultura, Ganaderia, Acuacultura y Pesca (MAGAP), 2015. The methodology used to estimate the flood hazard included parameters such as the soil texture, the terrain slope and the return period of the flood events, whose classifications have been combined into a final qualitative score. The main indicators used for the purposes of the analysis were the percentage of surface area at flood hazard and the most recurrent flood hazard class - according to MAGAP - by second-level administrative area. Original dataset title: ICA Ecuador, 2018 - Flood Hazard, 2015
  • Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the combined natural shocks risk (floods, landslides, cyclones and droughts) estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011 & 2013, NASA MODIS 2000-2015. Original dataset title: ICA Dominican Republic, 2017 - Natural Shocks Risk
  • Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2011
    This dataset updates: As needed
    This layer contains information about the rapid on-set shocks risk (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2011. Original dataset title: ICA Dominican Republic, 2017 - Rapid On-Set Shocks Risk, 2011
  • 30+ 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 hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. The main indicators used for the analysis were the percentage of district surface at flood hazard, the maximum expected frequency of flood events and the number of flood events recorded by EMDAT between 1990 and 2017. Cette couche contient informations regard le risque d'inondations - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque d'inondation et la combination de l'attente maximale attendue des inondations selon UNEP/UNISDR et l'attente des inondations enregistrées par EMDAT entre 1990 et 2016. Original dataset title: ICA Democratic Republic of Congo, 2017 - Flood Hazard, 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 combined natural shock (floods and landslides) hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. Cette couche contient informations regard le risque des chocs naturals combinés (inondations, et glissements de terrain) - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) executé en République Démocratique du Congo en 2017. L'analyse a été executée dans trois provinces critiques dans le secteur nord-est du pays (Ituri, Nord-Kivu et Sud-Kivu) en raison du récent déclenchement des conflits et des croissants niveaux d'insécurité alimentaire. Source des données: UNEP/UNISDR GAR 2013, EMDAT 1990-2016. Original dataset title: ICA Democratic Republic of Congo, 2017 - Natural Shock Hazard
  • 30+ 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 Chad 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 deuxième niveau – estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad 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 Chad, 2017 - Flood Risk, 2013
  • 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 rapid on-set shocks risk (floods and landslides) - by second-level administrative unit - estimated during the Integrated Context Analysis (ICA) run in Niger in 2017. Data source: UNEP/UNISDR GAR 2013. Cette couche contient informations regard le risque de chocs de déclanchement rapide (inondations et glissements de terrain) - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) executé en Tchad en 2017. Source des données: UNEP/UNISDR GAR 2013. Original dataset title: ICA Chad, 2017 - Rapid On-Set Shock 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) estimated during the Integrated Context Analysis (ICA) performed in Chad 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 Tchad 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 Chad, 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 Chad in 2017, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods, droughts and landslides). 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 Tchad en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations, sècheresse et glissements de terrain). 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 Chad, 2017 - ICA Categories & Areas
  • 70+ Downloads
    Updated 27 January 2020 | Dataset date: April 03, 2019-April 03, 2019
    This dataset updates: As needed
    This layer contains information about total population and poor people living communes affected by flooding in 2013 in Cambodia. Data Source: LandScan population in 2015, Copernicus flood extent in 2013, IDPoor data of Ministry of Planning and Department of Geography of the Ministry of Land Management, Urban Planning and Construction.
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the flood risk - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Strategie Nationale de Prévention des Risques et de Gestion des Catastrophes - Plan d'Action National, 2012-2015. The key indicator used for the analysis was a descriptive flood index, provided by the source with no information about the data and the methodology behind it. Cette couche contient informations regard le risque d'inondations - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté au Burundi entre 2014 et 2015. Sources des données: Strategie Nationale de Prévention des Risques et de Gestion des Catastrophes - Plan d'Action National, 2012-2015. L'indicateur principale utilisé pour l'analyse était un index des inondations, fourni par la source avec pas des informations regard les données utilisées ainsi que la méthodologie employée. Original dataset title: ICA Burundi, 2014 - Flood Risk, 2012-2015
  • Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the rapid on-set shocks risk (floods and landslides) - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009. Cette couche contient informations regard le risque de chocs de déclanchement rapide (inondations et glissements de terrain) - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) executé au Burundi entre 2014 et 2015. Source des données: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009. Original dataset title: ICA Burundi, 2014 - Rapid On-Set Shocks Risk
  • 10+ 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 (flood, landslides and droughts) - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009, HQ VAM Analysis of NDVI data 1999-2013. Cette couche contient informations regard le risque des chocs naturals combinés (inondations, glissements de terrain et sècheresse) - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) executé au Burundi entre 2014 et 2015. Source des données: Stratégie Nationale de Prévention des Risques et de Gestion des Catastrophes – Plan d’Action National 2012-2015, UNEP/UNISDR GAR 2009, HQ VAM Analyse de NDVI données. Original dataset title: ICA Burundi, 2014 - Natural Shocks Risk
  • 70+ 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 Burkina Faso in 2018. 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 première niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 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 : 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 Burkina Faso, 2018 - Flood Risk, 2013
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2018-December 31, 2018
    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 Burkina Faso in 2018. 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 Burkina Faso en 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 : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015. Original dataset title: ICA Burkina Faso, 2018 - Natural Shock Risk