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  • 100+ Downloads
    Updated 11 May 2021 | Dataset date: September 30, 2021-December 31, 2021
    This dataset updates: Every year
    The table above shows the annual burden of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM), and Global Acute Malnutrition (GAM) for each domain. The total number of children in all areas analysed is 2,128,925. The 2021 burden was determined by Round 9 NFSS (Nutrition and Food Security Surveillance) using combined Severe, Moderate, and Global Acute Malnutrition (cSAM, cMAM, and cGAM) prevalence. More than 1.1 million cases of acute malnutrition requiring urgent treatment are expected in 2021. The top five domains with the highest numbers of cases of acute malnutrition are namely, Southern Yobe, MMC & Jere, Southern Adamawa, Northern Adamawa, Central Yobe. Together, these five domains account for over two thirds of all cases in the region. In terms of severity based on the prevalence of global acute malnutrition, the following four zones are worst affected: Central Yobe, Northern Yobe, Northern Borno, East Borno. The combined acute malnutrition prevalence is at or above 15% in these four zones. Acute Malnutrition: January - December 2021
  • 1300+ Downloads
    Updated 27 May 2020 | Dataset date: March 30, 2020-March 30, 2020
    This dataset updates: As needed
    Percentage of children under 5 years of age falling below -3standard deviations (severe) from the median weight-for-height of the reference population
  • 10+ Downloads
    Updated 17 April 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a threshold set to 10% according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés 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. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec un seuil d’alerte fixé à 10%, selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Niger, 2018 - Prevalence of Global Acute Malnutrition, 2016
  • 20+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 1983-December 31, 2019
    This dataset updates: Every year
    Percentage of under-fives falling below minus 2 standard deviations (moderate and severe) from the median weight-for-age of the reference population​​
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 2000-December 31, 2015
    This dataset updates: Every year
    Percentage of live births under 2500 g out of the total number of live births during the same period.
  • 10+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 1983-December 31, 2019
    This dataset updates: Every year
    Percentage of under-fives falling below minus 2 standard deviations (moderate and severe) from the median height-for-age of the reference population
  • 30+ Downloads
    Updated 14 April 2020 | Dataset date: January 01, 1983-December 31, 2019
    This dataset updates: Every year
    Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population
  • 2000+ Downloads
    Updated 1 April 2020 | Dataset date: March 31, 2020-March 31, 2020
    This dataset updates: Every year
    Child malnutrition joint country dataset (UNICEF, WHO, World Bank Group) Definitions: Severe Wasting: Percentage of children aged 0–59 months who are below minus three standard deviations from median weight-for-height of the WHO Child Growth Standards. Wasting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-height of the WHO Child Growth Standards. Overweight – Moderate and severe: Percentage of children aged 0-59 months who are above two standard deviations from median weight-for-height of the WHO Child Growth Standards. Stunting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median height-for-age of the WHO Child Growth Standards. Underweight – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-age of the World Health Organization (WHO) Child Growth Standards.
  • 100+ Downloads
    Updated 1 April 2020 | Dataset date: March 31, 2020-March 31, 2020
    This dataset updates: Every year
    Child malnutrition joint global and regional dataset (UNICEF, WHO, World Bank Group) Definitions: Severe Wasting: Percentage of children aged 0–59 months who are below minus three standard deviations from median weight-for-height of the WHO Child Growth Standards. Wasting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-height of the WHO Child Growth Standards. Overweight – Moderate and severe: Percentage of children aged 0-59 months who are above two standard deviations from median weight-for-height of the WHO Child Growth Standards. Stunting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median height-for-age of the WHO Child Growth Standards. Underweight – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-age of the World Health Organization (WHO) Child Growth Standards.
  • 100+ Downloads
    Updated 20 March 2020 | Dataset date: December 31, 2019-December 31, 2019
    This dataset updates: Every three months
    les données de la prévalence MAG, MAM et MAS par Province
  • 1100+ Downloads
    Updated 16 March 2020 | Dataset date: December 31, 2018-December 31, 2018
    This dataset updates: As needed
    Simple, Spatial,Survey Method (S3M) for Sudan
  • 100+ Downloads
    Updated 19 February 2020 | Dataset date: February 03, 2020-February 03, 2020
    This dataset updates: As needed
    This dataset is an assessment done in Somalia Post Deyr Season. Contains results on Key Nutrition Indicators such as GAM and SAM.
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - observed during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: SETSAN, 2013. The key indicator used for the analysis was the prevalence of stunting in children aged under 5 years, classified according to the classification for assessing severity of malnutrition provided by the World Health Organization (WHO). It should be noted that the shapefile also includes the figures about the prevalence of wasting in children aged under 5 years, indicator which has not been considered in the final version of the Technical Paper. Original dataset title: ICA Mozambique, 2017 - Prevalence of Stunting, 2013
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a threshold set to 10% according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés 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. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec un seuil d’alerte fixé à 10%, selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Mali, 2017 - Prevalence of Global Acute Malnutrition, 2016
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2005-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the food insecurity and malnutrition trend observed during the Integrated Context Analysis (ICA) run in Mali in 2014. Data sources: Comprehensive Food Security Vulnerability Analysis (CFSVA) 2005-2009, EBSAN 2007-2008, Emergency Food Security Assessment (EFSA) 2011-2013, Fewsnet, Demographic and Health Survey (DHS) 2006-2012/13, Standardized Monitoring and Assessment of Relief and Transition (SMART) 2011-2013, MIC 2010. The main indicators used for the analysis were, among others, the Fewsnet food security classification, the number of food security rounds where more than 30% of the households were found in conditions of food insecurity and the prevalence of Global Acute Malnutrition above 10%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire et malnutrition – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2014. Sources des données: Comprehensive Food Security Vulnerability Analysis (CFSVA) 2005-2009, EBSAN 2007-2008, Emergency Food Security Assessment (EFSA) 2011-2013, Fewsnet, Demographic and Health Survey (DHS) 2006-2012/13, Standardized Monitoring and Assessment of Relief and Transition (SMART) 2011-2013, MIC 2010. Les indicateurs principaux utilisés pour l’analyse étaient, parmi d'autres, la classification Fewsnet d'insécurité alimentaire, le nombre de sondages avec au-dessus de 30% des ménages en conditions d'insécurité alimentaire et la prévalence de Malnutrition Aïgue Globale (MAG). Original dataset title: ICA Mali, 2014 - Food Insecurity and Malnutrition Trend, 2005-2013
  • Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Mauritania i 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. The main indicator used for the analysis was the average prevalence of Global Acute Malnutrition (GAM), classified according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés 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: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. L’indicateur principale utilisé pour l’analyse était la prévalence moyenne de Malnutrition Aigüe Globale (MAG), classifiée selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Mauritania, 2017 - Prevalence of Global Acute Malnutrition, 2011-2015
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2010-December 31, 2010
    This dataset updates: As needed
    This layer contains information about the malnutrition levels estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Demographic and Health Survey (DHS), 2010. The key indicators used for the analysis were the prevalence of stunting and Global Acute Malnutrition (GAM) in children aged below 5 years. Original dataset title: ICA Malawi, 2014 - Malnutrition, 2010
  • 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
  • Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: As needed
    No abstract provided Original dataset title: Utilization: Prevalence of chronic malnutrition among children under five years old, National Demographic and Health Survey 2012
  • Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: As needed
    No abstract provided Original dataset title: Utilization: Prevalence of acute malnutrition among children under five years old, National Demographic and Health Survey 2012
  • 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 malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a thresholds set according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés 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: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec des seuils d’alerte fixés selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Chad, 2017 - Prevalence of Global Acute Malnutrition, 2017
  • Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the malnutrition status observed during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Multiple Indicator Cluster Survey (MICS), 2014. The key indicator used for the analysis was the prevalence of stunting in children below 5 years of age. Original dataset title: ICA Burundi, 2014 - Prevalence of Stunting, 2014
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2013-2017 The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM) and chronic Global Acute Malnutrition, with thresholds set according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés 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: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2013-2017 Les indicateurs principaux utilisés pour l’analyse étaient la prévalence de Malnutrition Aigüe Globale (MAG) et de Malnutrition Aigüe Globale chronique, avec des seuils fixés selon les normes et la gamme de valeurs classés de l’OMS. Original dataset title: ICA Burkina Faso, 2018 - Prevalence of Global Acute Malnutrition, 2016
  • Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the nutrition levels estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: Integrated Living Condition Surveys (ILCS) 2014. The key indicators used for the analysis were the prevalence of stunting and overweight in children below 5 years of age, considering respectively a 20% and a 15% percent threshold. Original dataset title: ICA Armenia, 2016 & 2017 - Malnutrition, 2014
  • 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 malnutrition level estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Nutrition Survey (NNS), 2013. The key indicator used for the analysis was the prevalence of stunting, collected during the assessment by provincial (first-level administrative unit) level. Original dataset title: ICA Afghanistan, 2016 - Prevalence of Stunting, 2013