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  • Updated 11 October 2021 | Dataset date: July 01, 2014-July 30, 2014
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou, Mentao and Sag-Nioniogo refugee camps in July 2014. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP), IEDA Relief, UN Children's Fund (UNICEF), Médicins du Monde France, Action Against Hunger (ACF), Save the Children and Association Tin Hinan. The report is not available.
  • Updated 11 October 2021 | Dataset date: December 12, 2015-December 23, 2015
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou and Mentao refugee camps in December 2015. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP), IEDA Relief, UN Children's Fund (UNICEF).
  • Updated 11 October 2021 | Dataset date: January 01, 2017-December 23, 2017
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in Goudebou and Mentao refugee camps in December 2017. It was organized by UNHCR in close collaboration with the Ministry of Health, World Food Programme (WFP) and UN Children's Fund (UNICEF).
  • Updated 11 October 2021 | Dataset date: May 30, 2016-June 19, 2016
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey was conducted in the 3 camps and 2 reception areas for Malian refugees (Abala, Tabarbarey, Mangaïzé, Intikan and Tazalit) in Niger that includes 54,859 refugees (11,362 households). The survey was jointly conducted by UNHCR, the World Food Programme (WFP), UN Childrens Fund (UNICEF) and the Ministry of Health. Data collection in the Malian camps took place from May 30 to June 19, 2016 with the main objective of assessing the prevalence of global and severe acute malnutrition by age group and sex.
  • 300+ Downloads
    Updated 9 September 2021 | Dataset date: October 07, 2020-October 07, 2020
    This dataset updates: Every three months
    Prévalence de la malnutrition pour les enfants et les Femmes enceintes et allaitantes désagrégés par zone de santé. Les données sont à jours à septembre 2021
  • 40+ Downloads
    Updated 9 August 2021 | Dataset date: January 01, 2021-May 31, 2021
    This dataset updates: As needed
    Subnational Severe Acute Malnutrition data for 2021
  • 60+ Downloads
    Updated 28 June 2021 | Dataset date: December 31, 2020-October 18, 2021
    This dataset updates: Every year
    This dataset includes data on the proxy GAM at ADM2 for South Sudan.
  • 60+ Downloads
    Updated 21 June 2021 | Dataset date: June 01, 2019-June 01, 2019
    This dataset updates: Never
    The 2018 Pakistan National Nutrition Survey (NNS 2018) is the largest national nutrition survey carried out in Pakistan. It is designed to provide policymakers, programme managers and academicians a unique set of nutrition-related data including environmental, anthropometric and biochemical indicators. The study group included children, women of reproductive age (WRA) and adolescent boys and girls. NNS 2018 is the fifth national nutrition survey since 1965, but the first to yield district-representative data and to include adolescents and a component on water.
  • 20+ Downloads
    Updated 17 June 2021 | Dataset date: March 18, 2021-October 18, 2021
    This dataset updates: Every year
    The Baseline data values coming from various sources. Each indicator tracked by the MIMU. The data in these files is updated on a regular basis as new datasets are received and processed.
  • 40+ Downloads
    Updated 10 June 2021 | Dataset date: December 31, 2020-October 18, 2021
    This dataset updates: As needed
    GAM,MAM and SAM for zimbabwe based on MUAC measurements 2020
  • 70+ Downloads
    Updated 11 May 2021 | Dataset date: January 01, 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
  • 100+ Downloads
    Updated 17 April 2021 | Dataset date: March 28, 2021-September 08, 2021
    This dataset updates: Every six months
    Priorisation du cluster nutrition qui se base sur plusieurs facteurs aggravants pour permettre de mettre en avant les zones de santé les plus sensibles à la malnutrition alors que les données provenant des enquêtes nutritionnelles sont vieillissantes pour certaine Zone de santé.
  • 100+ Downloads
    Updated Live | Dataset date: February 08, 2021-October 18, 2021
    This dataset updates: Live
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
  • 800+ 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
  • 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 weight-for-age of the reference population​​
  • 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.
  • 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
  • 10+ 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
  • 1900+ 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
  • 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.
  • 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 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
  • 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 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