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  • 2200+ Downloads
    Updated 5 February 2020 | Dataset date: January 01, 2015-October 18, 2019
    This dataset updates: Every year
    The overall INFORM risk index identifies countries at risk from humanitarian crises and disasters that could overwhelm national response capacity. It is made up of three dimensions - hazards and exposure, vulnerability and lack of coping capacity. The INFORM initiative began in 2012 as a convergence of interests of UN agencies, donors, NGOs and research institutions to establish a common evidence-base for global humanitarian risk analysis. INFORM identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.
  • 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
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 1981-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk - by first-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of NDVI data, 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – par unité administrative de première niveau – estimée 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 VAM Analyse des données NDVI, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance). Original dataset title: ICA Mauritania, 2017 - Drought Risk, 1981-2015
  • 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
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2004-December 31, 2013
    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. Original dataset title: ICA Malawi, 2014 - Drought Risk, 2004-2013
  • 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
  • 40+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 1981-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – 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: HQ VAM Analyse des données CHIRPS d’estimation des precipitations, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance). Original dataset title: ICA Mali, 2017 - Drought Risk, 1981-2015
  • 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
  • 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
  • 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
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 1998-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: HQ VAM Analysis of NDVI data, 1998-2013. The key indicator used for the analysis was the average number of drought events. Original dataset title: ICA Lesotho, 2015 - Drought Risk, 1998-2013
  • 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
  • 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
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Honduras in 2017. Data sources: Comisión Permanente de Contingencias (COPECO), 2012-2017. The main indicator used for the analysis was the drought vulnerability index. Original dataset title: ICA Honduras, 2017 - Drought Risk, 2012-2017
  • 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
  • 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 cyclone 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 key indicators used for the analysis was the cyclone hazard score; considering the technical expertise and knowledge of the experts involved in the ICA process at the CO, the Nord-Ouest department has been reclassified from Low to High due to the possible wind effects. Cette couche contient informations regard le risque de tempêtes/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)". Compte tenu de l'expertise technique et de la conaissance du personnel au CO, le départment du Nord-Ouest a été reclassifié de faible à élevé en raison des possibles effets du vent. Original dataset title: ICA Haiti, 2017 - Cyclone 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, 1980-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the drought hazard estimated and used for the Integrated Context Analysis (ICA) run in Jordan in 2019. Data source: “CDI Validation summary report and drought vulnerability maps”, UNDP 2018. The key indicators used were natural factors related to exposure and a combination of natural and human-driven factors for the sensitivity. Adaptive capacity, on the other hand, has been based on the availability of resources, socio-economic indicators, legislation and capacity of relevant institutions and society. Original dataset title: ICA Jordan, 2019 - Drought hazard, 1980-2016
  • 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
  • 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 drought 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 key indicator used for the analysis was the number of documented drought events recorded during the 20th century. Cette couche contient informations regard le risque de 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)". L'indicateur principal utilisé pour l'analyse était le nombre de tempêtes/cyclones lequels ont eu lieu en le vingtième siècle. Original dataset title: ICA Haiti, 2017 - Drought Risk, 1998-2010
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2011
    This dataset updates: As needed
    This layer contains information about the frost hazard - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: Secretaria Nacional de Gestion de Riesgos, 2011. Original dataset title: ICA Ecuador, 2018 - Frost Hazard, 2011
  • 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
  • 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 cyclone risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: UNEP/UNISDR GAR 2013. The key indicator used for the analysis was the maximum expected frequency of cyclone events by municipality. Original dataset title: ICA Dominican Republic, 2017 - Cyclone Risk, 2013
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2000-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: NASA MODIS, 2000-2015. The key indicator used for the analysis was ... Original dataset title: ICA Dominican Republic, 2017 - Drought Risk, 2000-2015