• Vue d’ensemble
  • Prévalence de l’obésité
  • Tendances au fil du temps
  • Ventilation de la population
  • Facteurs de risques
  • Comorbidités
  • Impact économique
  • Politiques (uniquement disponibles en anglais)
  • Contextual factors
Chargement des données en cours, merci de patienter
Risque national dobsit *7,5/10This is a composite obesity risk score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Risque dobsit infantile *4/11This is a risk score for each countrys likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
* Sur la base destimations. Pour plus dinformations, voir Publications

Prévalence de l’obésité

Tendances au fil du temps

Report cards

Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.

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Report card (adult data)

Report card (child data)

Report card (under-5s data)

Ventilation de la population

Par niveau d'études

Par âge

Par région

Par groupe socioéconomique

Par appartenance ethnique

Double Burden

Facteurs de risques

Activité insuffisante

Consommation de fruits

Consommation de viande transformée

Consommation de céréales

Dépression

Anxiété

Les racines de l'obésité »

Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.

Allaitement

Unaffordable diet

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Comorbidités

Cancer de l'œsophage

Cancer du sein

Cancer colorectal

Cancer du pancréas

Cancer de la vésicule biliaire

Cancer des reins

Cancer de l'utérus

Hypertension

Hypercholestérolémie

Hyperglycémie à jeun

Prévalence du diabète

Ovarian Cancer

Leukemia

Liver & bile duct cancer

Mulitple Myeloma

Non Hodgkin Lymphoma

Thyroid Cancer

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Impact économique

Impact économique

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Politiques (uniquement disponibles en anglais)

Stratégie nutritionnelle ou sanitaire

Activité physique

Étiquetage

Stratégie contre les MNT

Allaitement

Obesity Target

Multisectoral national mechanism for obesity

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Contextual factors

Contextual factors

Prvalence de lobsit

Adultes, 2022

Type denqute:Mesur
ge:20-49
Taille de lchantillon:22516
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2020 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 04.07.2023)
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Adultes, 2015

Type denqute:Mesur
ge:18-69
Taille de lchantillon:6000
Rgion couverte:National
Rfrences:Non Communicable Diseases Risk Factors STEPS Survey Kenya 2015
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Femmes, 2014

Type denqute:Mesur
ge:15-49
Taille de lchantillon:13143
Rgion couverte:National
Rfrences:Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au gnrateur de graphiques Ajouter au PDF personnalisé

Femmes, 2008-2009

Type denqute:Mesur
ge:15-49
Taille de lchantillon:7548
Rgion couverte:National
Rfrences:Kenya National Bureau of Statistics - KNBS - and ICF Macro. 2010. Kenya Demographic and Health Survey 2008-09. Calverton, Maryland: KNBS and ICF Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au gnrateur de graphiques Ajouter au PDF personnalisé

Femmes, 2003

Type denqute:Mesur
ge:15-49
Taille de lchantillon:7047
Rgion couverte:National (MACRO)
Rfrences:Central Bureau of Statistics - CBS/Kenya, Ministry of Health - MOH/Kenya, and ORC Macro. 2004. Kenya Demographic and Health Survey 2003. Calverton, Maryland: CBS, MOH, and ORC Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au gnrateur de graphiques Ajouter au PDF personnalisé

Femmes, 1993

Type denqute:Mesur
ge:15-49
Taille de lchantillon:3294
Rfrences:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Notes:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Enfants, 2022

Type denqute:Mesur
ge:15-19
Taille de lchantillon:6066
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:2960 girls and 3106 boys. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2020 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 04.07.2023)
Cutoffs:WHO 2007
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Filles, 2014

Type denqute:Mesur
ge:15-19
Taille de lchantillon:2051
Rgion couverte:National
Rfrences:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Dfinitions (uniquement disponible en anglais):BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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Enfants, 2011-2013

Type denqute:Mesur
ge:9-11
Taille de lchantillon:563
Rgion couverte:Rgional
Rfrences:Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Correlates of objectively measured overweight/obesity and physical activity in Kenyan school children: results from ISCOLE-Kenya. BMC Public Health. 2014;14:436. Published 2014 May 9. doi:10.1186/1471-2458-14-436
Notes:Nairobi NB Small sample size
Cutoffs:WHO
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0-5 years, 2022

ge:0-5
Taille de lchantillon:17238
Rfrences:DHS: Kenya Demographic and Health Survey 2022
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2015-2016

ge:0-5
Taille de lchantillon:4198891
Rfrences:Other: Kenya 2015-16 Integrated Household Budget Survey (KIHBS)
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2014

ge:0-5
Taille de lchantillon:19151
Rfrences:DHS: Kenya demographic and health Survey (2014 KDHS): Final Report. Demongraphic and Health Surveys. Nairobi, Kenya: KNBS, Ministry of Health, NACC, KEMRI, NCPD, 2015
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2008-2009

ge:0-5
Taille de lchantillon:5586
Rfrences:DHS: Kenya demographic and health survey 2008-09. Demographic and Health Surveys. Calverton, Maryland: KNBS and ICF Macro, 2010
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2005-2006

ge:0-5
Taille de lchantillon:3780747
Rfrences:Other: Kenya integrated household budget survey (KIHBS), 2005/06: Revised edition, basic report. Nairobi, Kenya 2006
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2003

ge:0-5
Taille de lchantillon:5440
Rfrences:DHS: Kenya demographic and health survey 2003. Demographic and Health Surveys. Calverton, Maryland: CBS, MOH, and ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2000

ge:0-5
Taille de lchantillon:6067
Rfrences:MICS: Kenya multiple indicator cluster survey 2000 (MICS). Government of Kenya and Unicef. Nairobi, Kenya, 2002
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1998

ge:0-5
Taille de lchantillon:2916
Rfrences:DHS: Kenya demographic and health survey 1998. Demographic and Health Surveys. Central Bureau of Statistics. Calverton, Maryland: NDPD, CBS, and MI., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1994

ge:0-5
Taille de lchantillon:3693543
Rfrences:Other: Fifth child nutrition survey, 1994. Welfare monitoring survey. Nairobi, Kenya, 1995.
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1993

ge:0-5
Taille de lchantillon:4904
Rfrences:DHS: Kenya demographic and health survey 1993. Demographic and Health Surveys. Central Bureau of Statistics. Nairobi, Kenya, 1994
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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Surpoids/obésité selon le niveau de scolarité

Hommes, 2022

Type denqute:Mesur
ge:20-49
Taille de lchantillon:22516
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2022

Type denqute:Mesur
ge:20-49
Taille de lchantillon:22516
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2014

Type denqute:Mesur
ge:15-49
Taille de lchantillon:13143
Rgion couverte:National
Rfrences:Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2003

Type denqute:Mesur
ge:15-49
Taille de lchantillon:7047
Rfrences:Central Bureau of Statistics - CBS/Kenya, Ministry of Health - MOH/Kenya, and ORC Macro. 2004. Kenya Demographic and Health Survey 2003. Calverton, Maryland: CBS, MOH, and ORC Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Filles, 2014

Type denqute:Mesur
ge:15-19
Taille de lchantillon:2051
Rgion couverte:National
Rfrences:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Dfinitions (uniquement disponible en anglais):BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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0-5 years, 2022

Taille de lchantillon:17238
Rfrences:DHS: Kenya Demographic and Health Survey 2022
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2014

Taille de lchantillon:19151
Rfrences:DHS: Kenya demographic and health Survey (2014 KDHS): Final Report. Demongraphic and Health Surveys. Nairobi, Kenya: KNBS, Ministry of Health, NACC, KEMRI, NCPD, 2015
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
Tlcharger le graphique Ajouter au PDF personnalisé

0-5 years, 2008-2009

Taille de lchantillon:5586
Rfrences:DHS: Kenya demographic and health survey 2008-09. Demographic and Health Surveys. Calverton, Maryland: KNBS and ICF Macro, 2010
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
Tlcharger le graphique Ajouter au PDF personnalisé

0-5 years, 2003

Taille de lchantillon:5440
Rfrences:DHS: Kenya demographic and health survey 2003. Demographic and Health Surveys. Calverton, Maryland: CBS, MOH, and ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1998

Taille de lchantillon:2916
Rfrences:DHS: Kenya demographic and health survey 1998. Demographic and Health Surveys. Central Bureau of Statistics. Calverton, Maryland: NDPD, CBS, and MI., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
Tlcharger le graphique Ajouter au PDF personnalisé

0-5 years, 1993

Taille de lchantillon:4904
Rfrences:DHS: Kenya demographic and health survey 1993. Demographic and Health Surveys. Central Bureau of Statistics. Nairobi, Kenya, 1994
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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Surpoids/obésité selon l'âge

Adultes, 2022

Type denqute:Mesur
Taille de lchantillon:22516
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Adultes, 2015

Type denqute:Mesur
Taille de lchantillon:4283
Rgion couverte:National
Rfrences:Pengpid, S. and Peltzer, K. (2020). The prevalence and associated factors of underweight and overweight/obesity among adults in Kenya: evidence from a national cross-sectional community survey. Pan African Medical Journal, [online] 36. doi:https://doi.org/10.11604/pamj.2020.36.338.21215 [Accessed 25.09.25] ‌
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2014

Type denqute:Mesur
Taille de lchantillon:13143
Rgion couverte:National
Rfrences:Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2003

Type denqute:Mesur
Taille de lchantillon:7047
Rfrences:Central Bureau of Statistics - CBS/Kenya, Ministry of Health - MOH/Kenya, and ORC Macro. 2004. Kenya Demographic and Health Survey 2003. Calverton, Maryland: CBS, MOH, and ORC Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Surpoids/obésité selon la région

Hommes, 2022

Type d’enquête:Mesuré
Âge:20-49
Taille de l’échantillon:22516
Région couverte:National
Références:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m².
Télécharger le graphique Ajouter au PDF personnalisé

Femmes, 2022

Type d’enquête:Mesuré
Âge:20-49
Taille de l’échantillon:22516
Région couverte:National
Références:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m².
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Adultes, 2015

Type d’enquête:Mesuré
Âge:18-69
Taille de l’échantillon:4283
Région couverte:National
Références:Pengpid, S. and Peltzer, K. (2020). The prevalence and associated factors of underweight and overweight/obesity among adults in Kenya: evidence from a national cross-sectional community survey. Pan African Medical Journal, [online] 36. doi:https://doi.org/10.11604/pamj.2020.36.338.21215 [Accessed 25.09.25] ‌
Notes:Kenya STEPS Survey 2015
Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m².
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Femmes, 2014

Type d’enquête:Mesuré
Âge:15-49
Taille de l’échantillon:13143
Région couverte:National
Références:Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Notes:Includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m².
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Femmes, 2014

Type d’enquête:Mesuré
Âge:15-49
Taille de l’échantillon:13143
Région couverte:National
Références:Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m².
Télécharger le graphique Ajouter au PDF personnalisé

Femmes, 2003

Type d’enquête:Mesuré
Âge:15-49
Taille de l’échantillon:7047
Références:Central Bureau of Statistics - CBS/Kenya, Ministry of Health - MOH/Kenya, and ORC Macro. 2004. Kenya Demographic and Health Survey 2003. Calverton, Maryland: CBS, MOH, and ORC Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m².
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Garçons, 2022

Type d’enquête:Mesuré
Âge:15-19
Taille de l’échantillon:6066
Région couverte:National
Références:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:2960 girls and 3106 boys.
Cutoffs:WHO 2007
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Filles, 2022

Type d’enquête:Mesuré
Âge:15-19
Taille de l’échantillon:6066
Région couverte:National
Références:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:2960 girls and 3106 boys.
Cutoffs:WHO 2007
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Filles, 2014

Type d’enquête:Mesuré
Âge:15-19
Taille de l’échantillon:2051
Région couverte:National
Références:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Définitions (uniquement disponible en anglais):BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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0-5 years, 2022

Taille de l’échantillon:17238
Références:DHS: Kenya Demographic and Health Survey 2022
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2015-2016

Taille de l’échantillon:4198891
Références:Other: Kenya 2015-16 Integrated Household Budget Survey (KIHBS)
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2014

Taille de l’échantillon:19151
Références:DHS: Kenya demographic and health Survey (2014 KDHS): Final Report. Demongraphic and Health Surveys. Nairobi, Kenya: KNBS, Ministry of Health, NACC, KEMRI, NCPD, 2015
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2008-2009

Taille de l’échantillon:5586
Références:DHS: Kenya demographic and health survey 2008-09. Demographic and Health Surveys. Calverton, Maryland: KNBS and ICF Macro, 2010
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2003

Taille de l’échantillon:5440
Références:DHS: Kenya demographic and health survey 2003. Demographic and Health Surveys. Calverton, Maryland: CBS, MOH, and ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2000

Taille de l’échantillon:6067
Références:MICS: Kenya multiple indicator cluster survey 2000 (MICS). Government of Kenya and Unicef. Nairobi, Kenya, 2002
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1998

Taille de l’échantillon:2916
Références:DHS: Kenya demographic and health survey 1998. Demographic and Health Surveys. Central Bureau of Statistics. Calverton, Maryland: NDPD, CBS, and MI., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1994

Taille de l’échantillon:3693543
Références:Other: Fifth child nutrition survey, 1994. Welfare monitoring survey. Nairobi, Kenya, 1995.
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1993

Taille de l’échantillon:4904
Références:DHS: Kenya demographic and health survey 1993. Demographic and Health Surveys. Central Bureau of Statistics. Nairobi, Kenya, 1994
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Définitions (uniquement disponible en anglais):=>+2SD
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Surpoids/obésité selon le groupe socio-économique

Hommes, 2022

Type denqute:Mesur
ge:20-49
Taille de lchantillon:22516
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Femmes, 2022

Type denqute:Mesur
ge:20-49
Taille de lchantillon:22516
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:12263 Women and 10253 Men
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Femmes, 2014

Type denqute:Mesur
ge:15-49
Taille de lchantillon:13143
Rgion couverte:National
Rfrences:Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Femmes, 2003

Type denqute:Mesur
ge:15-49
Taille de lchantillon:7047
Rfrences:Central Bureau of Statistics - CBS/Kenya, Ministry of Health - MOH/Kenya, and ORC Macro. 2004. Kenya Demographic and Health Survey 2003. Calverton, Maryland: CBS, MOH, and ORC Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Garons, 2022

Type denqute:Mesur
ge:15-19
Taille de lchantillon:6066
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:2960 girls and 3106 boys.
Cutoffs:WHO 2007
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Filles, 2022

Type denqute:Mesur
ge:15-19
Taille de lchantillon:6066
Rgion couverte:National
Rfrences:KNBS and ICF. 2023. Kenya Demographic and Health Survey 2022. Nairobi, Kenya, and Rockville, Maryland, USA: KNBS and ICF
Notes:2960 girls and 3106 boys.
Cutoffs:WHO 2007
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Filles, 2014

Type denqute:Mesur
ge:15-19
Taille de lchantillon:2051
Rfrences:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International. 2015. Kenya Demographic and Health Survey 2014. Rockville, MD, USA: Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, National Council for Population and Development/Kenya, and ICF International.
Dfinitions (uniquement disponible en anglais):BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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0-5 years, 2022

Taille de lchantillon:17238
Rfrences:DHS: Kenya Demographic and Health Survey 2022
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2014

Taille de lchantillon:19151
Rfrences:DHS: Kenya demographic and health Survey (2014 KDHS): Final Report. Demongraphic and Health Surveys. Nairobi, Kenya: KNBS, Ministry of Health, NACC, KEMRI, NCPD, 2015
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2008-2009

Taille de lchantillon:5586
Rfrences:DHS: Kenya demographic and health survey 2008-09. Demographic and Health Surveys. Calverton, Maryland: KNBS and ICF Macro, 2010
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2003

Taille de lchantillon:5440
Rfrences:DHS: Kenya demographic and health survey 2003. Demographic and Health Surveys. Calverton, Maryland: CBS, MOH, and ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 2000

Taille de lchantillon:6067
Rfrences:MICS: Kenya multiple indicator cluster survey 2000 (MICS). Government of Kenya and Unicef. Nairobi, Kenya, 2002
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1998

Taille de lchantillon:2916
Rfrences:DHS: Kenya demographic and health survey 1998. Demographic and Health Surveys. Central Bureau of Statistics. Calverton, Maryland: NDPD, CBS, and MI., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1994

Taille de lchantillon:3693543
Rfrences:Other: Fifth child nutrition survey, 1994. Welfare monitoring survey. Nairobi, Kenya, 1995.
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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0-5 years, 1993

Taille de lchantillon:4904
Rfrences:DHS: Kenya demographic and health survey 1993. Demographic and Health Surveys. Central Bureau of Statistics. Nairobi, Kenya, 1994
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ 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.
Dfinitions (uniquement disponible en anglais):=>+2SD
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Surpoids/obésité selon l'origine ethnique

Ethnic groups are as defined by publication of origin and are not as defined by WOF. In some instances ethnicity is conflated with nationality and/or race.

Adultes, 2015

Type denqute:Mesur
ge:18-69
Taille de lchantillon:4283
Rgion couverte:National
Rfrences:Pengpid, S. and Peltzer, K. (2020). The prevalence and associated factors of underweight and overweight/obesity among adults in Kenya: evidence from a national cross-sectional community survey. Pan African Medical Journal, [online] 36. doi:https://doi.org/10.11604/pamj.2020.36.338.21215 [Accessed 25.09.25] ‌
Notes:Kenya STEPS Survey 2015
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Double burden of underweight & overweight

Adultes, 2022

Type denqute:Mesur
ge:20+
Rfrences:NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2.
Notes:Age Standardised estimates
Dfinitions (uniquement disponible en anglais):Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity)
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Enfants, 2022

Type denqute:Mesur
ge:5-19
Rfrences:NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2.
Notes:Age standardised estimates
Dfinitions (uniquement disponible en anglais):Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity)
Cutoffs:BMI < -2SD and BMI > 2SD
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0-5 years, 2022

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya Demographic and Health Survey 2022
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 2015-2016

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya 2015-16 Integrated Household Budget Survey (KIHBS)
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 2014

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya demographic and health Survey (2014 KDHS): Final Report. Demongraphic and Health Surveys. Nairobi, Kenya: KNBS, Ministry of Health, NACC, KEMRI, NCPD, 2015
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 2008-2009

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya demographic and health survey 2008-09. Demographic and Health Surveys. Calverton, Maryland: KNBS and ICF Macro, 2010
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 2005-2006

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya integrated household budget survey (KIHBS), 2005/06: Revised edition, basic report. Nairobi, Kenya 2006
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 2003

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya demographic and health survey 2003. Demographic and Health Surveys. Calverton, Maryland: CBS, MOH, and ORC Macro, 2004
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 2000

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya multiple indicator cluster survey 2000 (MICS). Government of Kenya and Unicef. Nairobi, Kenya, 2002
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 1998

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya demographic and health survey 1998. Demographic and Health Surveys. Central Bureau of Statistics. Calverton, Maryland: NDPD, CBS, and MI., 1999
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 1994

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Fifth child nutrition survey, 1994. Welfare monitoring survey. Nairobi, Kenya, 1995.
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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0-5 years, 1993

Type denqute:Mesur
ge:0-5
Rfrences:United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25]
Notes:Kenya demographic and health survey 1993. Demographic and Health Surveys. Central Bureau of Statistics. Nairobi, Kenya, 1994
Dfinitions (uniquement disponible en anglais):Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population)
Cutoffs:WHZ <-2, HAZ <-2 and WHZ >+2
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% d'activit physique insuffisante

Adultes, 2022

Type denqute:Autodclar
ge:18+
Rgion couverte:National
Rfrences:WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-)
Dfinitions (uniquement disponible en anglais):Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent.
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Hommes, 2022

Type denqute:Autodclar
ge:18+
Rgion couverte:National
Rfrences:WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-)
Dfinitions (uniquement disponible en anglais):Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent.
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Femmes, 2022

Type denqute:Autodclar
ge:18+
Rgion couverte:National
Rfrences:WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-)
Dfinitions (uniquement disponible en anglais):Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent.
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Adultes, 2016

Rfrences:Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7
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Hommes, 2016

Rfrences:Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7
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Femmes, 2016

Rfrences:Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7
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Enfants, 2016

Type denqute:Autodclar
ge:11-17
Rfrences:Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Dfinitions (uniquement disponible en anglais):% Adolescents insufficiently active (age standardised estimate)
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Garons, 2016

Type denqute:Autodclar
ge:11-17
Rfrences:Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Dfinitions (uniquement disponible en anglais):% Adolescents insufficiently active (age standardised estimate)
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Filles, 2016

Type denqute:Autodclar
ge:11-17
Rfrences:Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Dfinitions (uniquement disponible en anglais):% Adolescents insufficiently active (age standardised estimate)
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Enfants, 2010

ge:11-17
Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Dfinitions (uniquement disponible en anglais):% Adolescents insufficiently active (age standardised estimate)
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Garons, 2010

ge:11-17
Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Dfinitions (uniquement disponible en anglais):% Adolescents insufficiently active (age standardised estimate)
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Filles, 2010

ge:11-17
Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Dfinitions (uniquement disponible en anglais):% Adolescents insufficiently active (age standardised estimate)
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Estimated per capita fruit intake

Adultes, 2017

ge:25+
Rgion couverte:National
Rfrences:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Dfinitions (uniquement disponible en anglais):Estimated per capita fruit intake (g/day)
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Estimated per capita processed meat intake

Adultes, 2017

ge:25+
Rgion couverte:National
Rfrences:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Dfinitions (uniquement disponible en anglais):Estimated per capita processed meat intake (g per day)
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Estimated per capita whole grains intake

Adultes, 2017

Type denqute:Mesur
ge:25+
Rfrences:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Dfinitions (uniquement disponible en anglais):Estimated per-capita whole grains intake (g/day)
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Sant mentale - troubles dpressifs

Adultes, 2021

ge:20+
Rgion couverte:National
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Dfinitions (uniquement disponible en anglais):Number living with depression per 100,000 population (adults 20+ years)
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Hommes, 2021

ge:20+
Rgion couverte:National
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Dfinitions (uniquement disponible en anglais):Number living with depression per 100,000 population (adults 20+ years)
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Femmes, 2021

ge:20+
Rgion couverte:National
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Dfinitions (uniquement disponible en anglais):Number living with depression per 100,000 population (adults 20+ years)
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Adultes, 2015

Rfrences:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Dfinitions (uniquement disponible en anglais):% of population with depression disorders
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Enfants, 2021

Rgion couverte:National
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Dfinitions (uniquement disponible en anglais):Number living with depressive disorder per 100,000 population (Under 20 years of age)
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Garons, 2021

Rgion couverte:National
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Dfinitions (uniquement disponible en anglais):Number living with depressive disorder per 100,000 population (Under 20 years of age)
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Filles, 2021

Rgion couverte:National
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Dfinitions (uniquement disponible en anglais):Number living with depressive disorder per 100,000 population (Under 20 years of age)
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Sant mentale - troubles anxieux

Adultes, 2021

ge:20+
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Dfinitions (uniquement disponible en anglais):Number living with anxiety per 100,000 population
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Hommes, 2021

ge:20+
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Dfinitions (uniquement disponible en anglais):Number living with anxiety per 100,000 population
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Femmes, 2021

ge:20+
Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Dfinitions (uniquement disponible en anglais):Number living with anxiety per 100,000 population
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Adultes, 2015

Rfrences:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Dfinitions (uniquement disponible en anglais):% of population with anxiety disorders
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Enfants, 2021

Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
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Garons, 2021

Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
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Filles, 2021

Rfrences:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
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% de nourrissons gs de 0 5 mois nourris exclusivement avec du lait maternel

0-5 years, 2010-2024

Rfrences:Kenya Demographic and Health Survey 2022
Notes:Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023.
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Percent of population who cannot afford a healthy diet

Adultes, 2024

Rgion couverte:National
Rfrences:FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25]
Notes:The percent of the population whose food budget is below the cost of a healthy diet.
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Adultes, 2022

Rgion couverte:National
Rfrences:The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db.
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Cancer de l'œsophage

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Indicence per 100,000
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Indicence per 100,000
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Hommes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Femmes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Cancer du sein

Femmes, 2022

Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Cancer colorectal

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Hommes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Femmes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Cancer du pancras

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Hommes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Femmes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Cancer de la vsicule biliaire

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Indicence per 100,000
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Indicence per 100,000
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Hommes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Femmes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Cancer des reins

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Hommes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Femmes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Cancer de l'utrus

Femmes, 2022

ge:20+
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Femmes, 2020

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2201
Dfinitions (uniquement disponible en anglais):Age-standardized indicence rates per 100 000
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Hypertension

Adultes, 2015

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Dfinitions (uniquement disponible en anglais):Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
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Hommes, 2015

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Dfinitions (uniquement disponible en anglais):Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
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Femmes, 2015

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Dfinitions (uniquement disponible en anglais):Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
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Hypercholestérolémie

Adultes, 2008

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Dfinitions (uniquement disponible en anglais):% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Hommes, 2008

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Dfinitions (uniquement disponible en anglais):% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Femmes, 2008

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Dfinitions (uniquement disponible en anglais):% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Hyperglycémie à jeun

Hommes, 2014

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
Dfinitions (uniquement disponible en anglais):Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
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Femmes, 2014

Rfrences:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
Dfinitions (uniquement disponible en anglais):Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
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Prvalence du diabte

Adultes, 2024

Rfrences:Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org
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Adultes, 2021

ge:20-79
Rgion couverte:National
Rfrences:Reproduced with kind permission International Diabetes Federation.  IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org
Dfinitions (uniquement disponible en anglais):Age-adjusted comparative prevalence of diabetes, %
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Adultes, 2019

ge:20-79
Rfrences:Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org
Dfinitions (uniquement disponible en anglais):Diabetes age-adjusted comparative prevalence (%).
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Adultes, 2017

Rfrences:Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org
Dfinitions (uniquement disponible en anglais):Diabetes age-adjusted comparative prevalence (%).
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Ovarian Cancer

Femmes, 2022

ge:20+
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Leukemia

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
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Liver and intrahepatic bile duct Cancer

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Multiple Myeloma

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Indicence per 100,000
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Indicence per 100,000
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Non Hodgkin Lymphoma

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m.
Tlcharger le graphique Ajouter au PDF personnalisé

Thyroid Cancer

Hommes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
Tlcharger le graphique Ajouter au PDF personnalisé

Femmes, 2022

ge:20+
Rgion couverte:National
Rfrences:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Dfinitions (uniquement disponible en anglais):Incidence per 100,000
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Economic impact of overweight and obesity

Country comparisons

You can choose to compare this country’s data with the data for up to four other countries.

Policies, Interventions and Actions

National Strategic Plan for Prevention and Control of NCDs 2020/21-2025/26

The mission of this strategy is to halt and reverse the rising burden of NCDs through effective multisectoral collaboration and partnerships by ensuring Kenyans receive the highest attainable standard of NCD continuum of care that is accessible, affordable, quality, equitable and sustainable thus alleviating suffering, disease and death for their well-being and socio-economic development. This strategy is structured around five pillars; 1. Sectoral and multisectoral coordination and governance. 2. Minimize exposure to modifiable risk factors 3. Health system response for management of NCDs 4. Advocacy, communication, and social mobilization 5. Surveillance, monitoring, evaluation, and research

Categories:Evidence of NCD strategy
Year(s):2021-2025
Target age group:Enfants et adultes
Organisation:Ministry of Health
Linked document:Download linked document
References:National Strategic Plan for Prevention and Control of NCDs 2020/21-2025/26. Ministry of Health. https://www.health.go.ke/wp-content/uploads/2021/07/Kenya-Non-Communicable-Disease-NCD-Strategic-Plan-2021-2025.pdf (Accessed 18.08.21)

National Physical Activity Action Plan (NPAAP)

The NPAAP provides the framework for sustained and comprehensive actions to promote health-enhancing physical activity involving all related stakeholders, and reflects the commitment and aspirations of policy-makers to provide better health and quality of life to the population. The NPAAP, sets out our key strategic objectives which include; 1. Development and dissemination of national legislation, policies and guidelines that promote physical activity, 2.Creation of public awareness on the health benefits of physical activity, 3. Strengthen implementation of the physical activity component of the school health policy and 4. Support implementation of programmes that promote physical activity in community settings.

Categories:Evidence of Physical Activity Guidelines/Policy
Year(s):2018-2023
Target age group:Enfants et adultes
Organisation:Ministry of Health
Linked document:Download linked document
References:https://www.health.go.ke/wp-content/uploads/2019/03/National-Physical-Activity-Action-Plan.pdf

The Kenya Nutrition Action Plan (KNAP) 2018 – 2022

The Kenya Nutrition Action Plan (KNAP) 2018–2022 is an evidence-based five-year strategic action plan that seeks to address malnutrition in Kenya in all its forms and for all ages. It is the second National Nutrition Action Plan for the implementation of the Kenya Food and Nutrition Security Policy (FNSP) and follows implementation of the first National Nutrition Action Plan 2012–2017, building on the success, limitations and opportunities of the previous five years.

Categories:Evidence of Nutritional or Health Strategy/Guidelines/Policy/Action plan
Year(s):2018-2022
Target age group:Enfants et adultes
Organisation:Ministry of Health
Linked document:Download linked document
References:Government of Kenya, Ministry of Health (2018): The Kenya Nutrition Action Plan (KNAP), 2018 –2022. https://www.health.go.ke/wp-content/uploads/2020/10/Kenya-Nutrition-Action-Plan-2018-2022.pdf

National Guidelines for Healthy Diets and Physical Activity

The Guidelines were developed through a broad consultative process, led by the Nutrition and Dietetics Unit within the Ministry of Health, through a broad consultative process. Collaborators included other divisions of Ministry of Health, the Ministry of Agriculture, Livestock and Fisheries, and academia. The World Health Organization, Food and Agriculture Organization, Micronutrient Initiative, and World Food Programme provided financial and technical support to the development process.

Categories:Evidence of Nutritional or Health Strategy/Guidelines/Policy/Action plan
Year(s):2017 (ongoing)
Target age group:Enfants et adultes
Organisation:Ministry of Health
References:https://www.fao.org/nutrition/education/food-dietary-guidelines/regions/countries/kenya/en/

NCD Country Profiles 2018 (Obesity Targets)

The profiles also provide data on the key metabolic risk factors, namely raised blood pressure, raised blood glucose and obesity and National Targets on Obesity (as of 2017)

Categories:Evidence of Obesity Target
Year(s):2017 (ongoing)
Target age group:Enfants et adultes
Organisation:World Health Organisation
References:Noncommunicable diseases country profiles 2018. Geneva: World Health Organization; 2018. Licence: CC BY-NC-SA 3.0 IGO.

Kenya National strategy for the prevention and control of non-communicable diseases 2015-2020

Interventions for reduction and management of non-communicable diseases

Categories:Evidence of NCD strategy
Year(s):2015-2020
Target age group:Enfants et adultes
Organisation:Ministry of health
Linked document:Download linked document
References:Ministry of health. Kenya National strategy for the prevention and control of non-communicable diseases 2015-2020. Available from: https://extranet.who.int/nutrition/gina/sites/default/files/KEN-2015-NCDs.pdf (Accessed 6 March 2019) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Kenya Health Policy, 2014–2030

The Kenya Health Policy, 2014–2030 gives directions to ensure significant improvement in overall status of health in Kenya in line with the Constitution of Kenya 2010, the country’s longterm development agenda, Vision 2030 and global commitments. It demonstrates the health sector’s commitment, under the government’s stewardship, to ensuring that the country attains the highest possible standards of health, in a manner responsive to the needs of the population.

Categories:Evidence of Nutritional or Health Strategy/Guidelines/Policy/Action plan
Year(s):2014-2030
Target age group:Enfants et adultes
Organisation:Ministry of Health
Linked document:Download linked document
References:http://publications.universalhealth2030.org/uploads/kenya_health_policy_2014_to_2030.pdf

National Nutrition Action Plan (NNAP)

The aim of the NNAP is to provide a framework for coordinated implementation of nutrition intervention activities by the government and nutrition stakeholders.

Categories (partial):Evidence of Nutritional or Health Strategy/Guidelines/Policy/Action plan
Year(s):2012-2017
Target age group:Enfants et adultes
Organisation:Ministry of Public Health and Sanitation
Linked document:Download linked document
References:Scaling Up Nutrition. http://scalingupnutrition.org/ (last accessed 26 Feb 2016)

The Food, Drugs and Chemical Substances (Food Labelling, Additives And Standards) Regulations

Mandatory national labelling guidelines for pre-packaged food approved by the Minister of Health and adopted from 2009. (Available only in English language)

Categories:Labelling Regulation/Guidelines
Year(s):2009 (ongoing)
Target age group:Enfants et adultes
Organisation:Minister of Health
Linked document:Download linked document
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/25381 (last accessed 03.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

GNPR 2016-17 (q7) Breastfeeding promotion and/or counselling

WHO Global Nutrition Policy Review 2016-2017 reported the evidence of breastfeeding promotion and/or counselling (q7)

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Adultes
Organisation:Ministry of Health (information provided by the GINA progam)
Find out more:extranet.who.int
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Nutrition inter agency coordinating Committee

National Multisectoral stakeholder mechanism in place (such as Coalition, Taskforce, Committee) for Obesity or Nutrition (including obesity)

Categories:Evidence of a multi-sectoral national coordination mechanism for obesity or nutrition (including obesity)
Target age group:Enfants et adultes
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/27015 (last accessed 04.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

No actions could be found for the above criteria.

Contextual factors

Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.

Tap on a tick to find out more about policies influencing this factor.

Labelling

Is there mandatory nutrition labelling?Present
Front-of-package labelling?Absent
Back-of-pack nutrition declaration?Present
Color coding?Absent
Warning label?Absent

Regulation and marketing

Are there fiscal policies on unhealthy products?Absent
Tax on unhealthy foods?Absent
Tax on unhealthy drinks?Absent
Are there fiscal policies on healthy products?Absent
Subsidy on fruits?Absent
Subsidy on vegetables?Absent
Subsidy on other healthy products?Absent
Mandatory limit or ban of trans fat (all settings)?Incoming
Mandatory limit of trans fats in place (all settings)? Incoming
Ban on trans-fats or phos in place (all settings)? Absent
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children?Absent
Mandatory restriction on broadcast media?Absent
Mandatory restriction on non-broadcast media?Absent
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children?Absent
Are there mandatory standards for food in schools?Absent
Are there any mandatory nutrient limits in any manufactured food products?Incoming
Nutrition standards for public sector procurement?Absent

Political will and support

National obesity strategy or nutrition and physical activity national strategy?Present
National obesity strategy?Absent
National childhood obesity strategy?Absent
Comprehensive nutrition strategy?Present
Comprehensive physical activity strategy?Present
Evidence-based dietary guidelines and/or RDAs?Present
National target(s) on reducing obesity?Present
Promotion of breastfeeding?Present

Monitoring and surveillance

Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors?Present
Within 5 years?Incoming

Governance and resource

Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)?Present

Key

Present
Present (voluntary)
Incoming
Absent
Unknown

Last updated September 13, 2022

See more policies here

Download contextual factors as a PDF Contextual factors definitions

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