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  • Updated 14 April 2020 | Dataset date: January 01, 2008-December 31, 2018
    This dataset updates: Every year
    Percentage of girls (aged 15-17 years) who have ever experienced any sexual violence and sought help from a professional
  • Updated 14 April 2020 | Dataset date: January 01, 2011-December 31, 2017
    This dataset updates: Every year
    Percentage of boys (aged 15-17 years) who have ever experienced any sexual violence and sought help from a professional
  • 20+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 1984-December 31, 2018
    This dataset updates: Every year
    Antenatal care 4+ visits - percentage of women (aged 15-49 years) attended at least four times during pregnancy by any provider
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2003-December 31, 2017
    This dataset updates: Every year
    Percentage of students (aged 13-15 years) who reported being bullied on 1 or more days in the past 30 days
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 1984-December 31, 2018
    This dataset updates: Every year
    Antenatal care 1+ visit - percentage of women (aged 15-49 years) attended at least once during pregnancy by skilled health personnel
  • 20+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2010-December 31, 2018
    This dataset updates: Every year
    Postnatal care for mothers - percentage of women (aged 15-49 years) who received postnatal care within 2 days of giving birth
  • Updated 22 March 2022 | Dataset date: March 15, 2022-March 15, 2022
    This dataset updates: Never
    UNOSAT code: TC20220311MOZ Este mapa ilustra água superficias detectadas por satélite nos distritos de Mossuril, Mogincual e Liúpo, Província de Nampula em Moçambique, no dia 15 de março, 2022, as 05:10 hora local. Dentro da área analisada de cerca de 1485 km2, um total de 237 km2 aparece inundada. Baseado nos dados de população do Worldpop e na águas superficiais, cerca de 22,620 pessoas estão potencialmente expostos ou vivem perto das áreas inundadas. Esto sao análises preliminar e ainda não foram verificados no terreno. Por favor, envie comentários para o Centro de Satélites das Nações Unidas (UNOSAT). Nota importante: Análises de inundaçãoes a partir de imagens radar podem subestimar a presença de águas acumuladas em áreas construídas e áreas de vegetação densa devido às propriedades de retrodifusão do sinal radar.
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: Every year
    Percentage of adolescents (aged 15-19 years) who had at least one alcoholic drink at any time during the last 12 months
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2011-December 31, 2017
    This dataset updates: Every year
    The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months
  • Updated 14 April 2020 | Dataset date: January 01, 2002-December 31, 2018
    This dataset updates: Every year
    Pregnant women sleeping under ITN - percentage of pregnant women (aged 15-49 years) who slept under an insecticide-treated net the previous night
  • 30+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 1994-December 31, 2017
    This dataset updates: Every year
    Percentage of adolescents (aged 13-15 years) who smoked cigarettes or used smoked or smokeless tobacco products at any time during the last month
  • Updated 14 April 2020 | Dataset date: January 01, 2003-December 31, 2018
    This dataset updates: Every year
    Per cent of young people (aged 15-24 years) who have ever been tested for HIV and received the result of the last test
  • 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, 2013-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the landslide hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Chad in 2017. Data source: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at landslide hazard, the maximum expected frequency of landslide events. Cette couche contient informations regard le risque des glissements de terraine - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté en Tchad en 2017. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque des glissements de terraine et l'attente maximale attendue des glissements de terraine. Original dataset title: ICA Chad, 2017 - Landslide Risk, 2013
  • 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, 2009-December 31, 2009
    This dataset updates: As needed
    This layer contains information about the landslide risk - by livelihood zone - estimated during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2009. The key indicators used for the analysis were the maximum expected frequency of landslide events and the percentage of surface affected by landslide risk. Cette couche contient informations regard le risque de glissements de terrain - par zones de moyens d'existence - estimé pendant l'Analyse Integrée de Contexte (AIC) executée au Burundi entre 2014 et 2015. Source des données: UNEP/UNISDR GAR, 2009. Les indicateurs principales utilisés pour l'analyse étaient la fréquence maximale de glissements de terrain et la pourcentage de surface à risque de glissements de terrain. Original dataset title: ICA Burundi, 2014 - Landslide Risk, 2009
  • 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
  • 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, 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
  • 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
  • 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
  • 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
  • Updated 14 April 2020 | Dataset date: January 01, 2003-December 31, 2018
    This dataset updates: Every year
    Per cent of young people (aged 15-24 years) who were tested for HIV in the last 12 months and received the result of the last test
  • 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, 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