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  • 700+ Downloads
    Updated August 13, 2020 | Dataset date: Jun 30, 2020
    This dataset updates: As needed
    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought and flood situation in Somalia. The data covers the following topics: Internal displacement by cause (drought related, conflict/insecurity, other cause) River levels in the Shabelle and Juba rivers Water prices by Region Cumulative annual rainfall Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles) Monthly response monitoring by region for the following indicators: CCCM: Number of people benefiting from site improvement projects EDUCATION: Number of children with access to safe drinking water FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets HEALTH: Number of medical consultations NUTRITION: Number of acute malnutrition admissions PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash WASH: Number of people reached with access to sustainable safe water services The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)
  • Updated April 17, 2020 | Dataset date: Jan 1, 2018-Dec 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
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the combined natural shock (floods, droughts and cyclones) hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: Fewsnet 1975-2012, DRFI 2012, INGC, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015, Fewsnet 1930-2000. Original dataset title: ICA Mozambique, 2017 - Natural Shocks Hazard
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 1981-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought hazard estimated during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 1981-2015, National Institute of Disaster Management (INGC). The indicators used for the analysis were the number of poor growing seasons and the drought hazard classification provided by INGC. Original dataset title: ICA Mozambique, 2017 - Drought Hazard, 1981-2015
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 1981-Dec 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 Niger between 2017 and 2018. 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 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: 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 Niger, 2018 - Drought Risk, 1981-2015
  • Updated April 17, 2020 | Dataset date: Jan 1, 2018-Dec 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
  • Updated April 17, 2020 | Dataset date: Jan 1, 1951-Dec 31, 2010
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) performed in Pakistan in 2017. Data source: National Drought Monitoring Centre of the Pakistan Meteorological Department (PMD), 1951-2010. The key indicator used for the analysis was a drought hazard index based on SPI data. Original dataset title: ICA Pakistan, 2017 - Drought Hazard, 1951-2010
  • Updated April 17, 2020 | Dataset date: Jan 1, 2017-Dec 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)
  • 100+ Downloads
    Updated March 3, 2020 | Dataset date: Mar 6, 2020
    This dataset updates: Every year
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 1981-Dec 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
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 1, 2014-Jun 30, 2014
    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 Original dataset title: Malawi, Drought Risk, June 2014
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 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
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2004-Dec 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
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 1981-Dec 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 January 27, 2020 | Dataset date: Jan 1, 2015-Dec 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 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
  • 40+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2014-Dec 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 January 27, 2020 | Dataset date: Jan 1, 1998-Dec 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
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 2012-Dec 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 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
  • Updated January 27, 2020 | Dataset date: Jan 1, 1998-Dec 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
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 1980-Dec 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