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  • 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
  • 10+ Downloads
    Updated 17 April 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 Niger between 2017 and 2018, 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 Niger entre 2017 et 2018, 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 Niger, 2018 - ICA Categories & Areas
  • 20+ Downloads
    Updated 17 April 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 Niger between 2017 and 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 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 : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015. Original dataset title: ICA Niger, 2018 - Natural Shock Risk
  • 30+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 2017-December 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)
  • 30+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 2014-December 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
  • 60+ Downloads
    Updated 17 April 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 Niger between 2017 and 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 deuxième niveau – estimé 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 : 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 Niger, 2018 - Flood Risk, 2013
  • 100+ 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
  • 400+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 2014-December 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
  • 100+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 1975-December 31, 2012
    This dataset updates: As needed
    This layer contains information about the flood hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: Fewsnet 1975-2012, Disaster Risk Financing and Insurance (DRFI), 2012. The indicators used for the analysis were the percentage of flood extent and a qualitative classification of the district at high or very high flood risk. It should be noted that the analysis did not consider information about the flood frequency and that, in the last 5 years, flood patterns are changing and affecting the northern part of the country, which is not registering extreme flood events anymore. Original dataset title: ICA Mozambique, 2017 - Flood Hazard, 1975-2012
  • 700+ 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
  • 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 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
  • 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 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
  • 60+ 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
  • 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 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
  • 60+ 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
  • 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 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
  • 60+ 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