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  • 50+ Downloads
    Updated 25 November 2022 | Dataset date: January 01, 2022-October 31, 2022
    This dataset updates: As needed
    Drought related data: Population IDPs Affected Population Priority Areas IPC 5 (Oct - Dec 2022 projection) Severity of access
  • Updated 24 November 2022 | Dataset date: September 01, 2022-September 30, 2022
    This dataset updates: Every six months
    The Grand Sud of Madagascar has been affected by consecutive droughts during the rainy seasons from 2019 to 2021. In 2021, 36% of the Grand Sud was classified as severe drought and 1% as extreme drought. Nearly 1.47 million people were severely food insecure (IPC 3+) and four districts – Amboasary Atsimo, Ambovombe Androy, Tsihombe and Ampanihy West – were in IPC Phase 4 (Emergency).
  • 30+ Downloads
    Updated 24 November 2022 | Dataset date: January 01, 2022-October 31, 2022
    This dataset updates: Every month
    Drought Operational Presence, updated monthly
  • 40+ Downloads
    Updated 24 November 2022 | Dataset date: January 01, 2022-October 31, 2022
    This dataset updates: Every month
    drought response data
  • 50+ Downloads
    Updated 23 November 2022 | Dataset date: July 31, 2022-October 31, 2022
    This dataset updates: Every three months
    Drought affected areas and population in Ethiopia
  • 40+ Downloads
    Updated 16 November 2022 | Dataset date: July 21, 2022-October 31, 2022
    This dataset updates: Every three months
    Drought Related Key Figures for Ethiopia
  • 30+ Downloads
    Updated 16 November 2022 | Dataset date: May 01, 2022-October 31, 2022
    This dataset updates: Every three months
    Drought Related Key Figures for Somalia
  • 50+ Downloads
    Updated 16 November 2022 | Dataset date: May 01, 2022-October 31, 2022
    This dataset updates: Every three months
    Drought affected areas and population in Somalia
  • 20+ Downloads
    Updated 11 November 2022 | Dataset date: September 17, 2022-November 26, 2022
    This dataset updates: Every two weeks
    Emergency Trends Tracking (ETT) is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises. The objective of ETT is to help prioritize humanitarian response and to enable partners to deliver rapid assistance. Based on previous drought induced displacement patterns, and the ones observed since the beginning of the drought, the humanitarian community expects that people will move from rural to urban areas in search of humanitarian services. Consequently, this ETT tool which concentrates only on drought induced displacements, focuses on the main urban centers and surrounding villages for each district. The data is collected through Key Informant Interviews (KIIs) at the location level, from Sunday to Wednesday every week. All locations assessed are monitored each week.
  • 100+ Downloads
    Updated 30 October 2022 | Dataset date: January 01, 2022-November 26, 2022
    This dataset updates: Every month
    This dataset organizes data on operational presence and response around the drought crisis in Somalia.
  • 30+ Downloads
    Updated 20 October 2022 | Dataset date: October 01, 2021-October 31, 2022
    This dataset updates: Every three months
    Drought Related Key Figures for Kenya
  • 50+ Downloads
    Updated 20 October 2022 | Dataset date: October 01, 2021-October 31, 2022
    This dataset updates: Every three months
    Drought affected areas and population in Kenya
  • 100+ Downloads
    Updated 28 September 2022 | Dataset date: January 01, 2022-June 30, 2022
    This dataset updates: Every three months
    This data is produced by OCHA Somalia in collaboration with humanitarian partners. It provides information on the worsening drought situation in Somalia in 2022. It indicates the drought response by clusters in this period
  • 30+ Downloads
    Updated 15 September 2022 | Dataset date: November 01, 2021-November 26, 2022
    This dataset updates: Every year
    This file contains the the Sudan admin2 level localities with data of the climate hazards in the country (flood affected by year and overall risk/severity and drought risk/severity.
  • 1300+ Downloads
    Updated 13 October 2021 | Dataset date: June 30, 2020-June 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)
  • 300+ Downloads
    Updated 30 October 2020 | Dataset date: October 31, 2020-October 31, 2020
    This dataset updates: Every six months
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
  • 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
  • 50+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 1951-December 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
  • 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
  • 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)
  • 60+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 1981-December 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
  • 60+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 2017-December 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
  • 40+ Downloads
    Updated 17 April 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 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
  • 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