Tanzanie
Lower-middle income
- 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 d’obésité *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 d’obésité infantile *4,5/11This is a ‘risk score’ for each country’s 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).
Report cards
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Ventilation de la population
Facteurs de risques
Activité insuffisante
Consommation de boissons gazeuses
Consommation de fruits
Consommation de légumes
Consommation de restauration rapide
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
Télécharger le rapport d’évaluation
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
Télécharger le rapport d’évaluation
Impact économique
Politiques (uniquement disponibles en anglais)
Contextual factors
Prévalence de l’obésité
Adultes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 11634 |
| Région couverte: | National |
| Références: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| 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. | |
Adultes, 2012
| Type d’enquête: | Mesuré |
| Âge: | 25-64 |
| Taille de l’échantillon: | 5680 |
| Région couverte: | National |
| Références: | WHO STEPS Survey Tanzania 2012, available at https://www.who.int/ncds/surveillance/steps/tanzania/en/ (last accessed 21.10.20) |
| 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. | |
Adultes, 2011
| Type d’enquête: | Mesuré |
| Âge: | 25-64 |
| Taille de l’échantillon: | 2520 |
| Région couverte: | Regional (Zanzibar) |
| Références: | STEPS |
| 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. | |
Femmes, 2010
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 8789 |
| Région couverte: | National |
| Références: | National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania 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 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. | |
Adultes, 1998-1999
| Type d’enquête: | Mesuré |
| Âge: | 25-64 |
| Taille de l’échantillon: | 9313 |
| Région couverte: | Infranational |
| Références: | Bovet P et al. (2002). Distribution of blood pressure, body mass index and smoking habits in the urban population of Dar es Salaam, Tanzania, and association with socioeconomic status. University of Social and Preventive Medicine. WHO Infobase. |
| 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. | |
Femmes, 1991-1992
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 4597 |
| Région couverte: | National |
| Références: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Notes: | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA: Central Statistical Office and Macro International |
| 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. | |
Enfants, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Enfants, 2019
| Type d’enquête: | Mesuré |
| Âge: | 9-11 |
| Taille de l’échantillon: | 1170 |
| Région couverte: | Régional |
| Références: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Cutoffs: | WHO |
Filles, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2157 |
| 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. Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF |
| 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 |
Enfants, 2012
| Type d’enquête: | Mesuré |
| Âge: | 8-13 |
| Taille de l’échantillon: | 1781 |
| Région couverte: | Régional |
| Références: | Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524. |
| Cutoffs: | WHO |
0-5 years, 2022
| Âge: | 0-5 |
| Taille de l’échantillon: | 5485 |
| Références: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| 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 |
0-5 years, 2020-2021
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Taille de l’échantillon: | 8654908 |
| Région couverte: | National |
| Références: | National Panel Survey 2020-21, Wave 5 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019-2020
| Âge: | 0-5 |
| Taille de l’échantillon: | 5223133 |
| Références: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| 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 |
0-5 years, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 1-5 |
| Taille de l’échantillon: | 5223133 |
| Région couverte: | National |
| Références: | Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. NB. 12-59 months |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2018
| Âge: | 0-5 |
| Références: | SMART: Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. |
| 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 |
0-5 years, 2015-2016
| Âge: | 0-5 |
| Taille de l’échantillon: | 9816 |
| Références: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| 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 |
0-5 years, 2014
| Âge: | 0-5 |
| Références: | SMART: Tanzania national nutrition survey 2014: Final report. United Republic of Tanzania, December 2014. |
| 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 |
0-5 years, 2012-2013
| Âge: | 0-5 |
| Taille de l’échantillon: | 6565673 |
| Références: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| 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 |
0-5 years, 2010-2011
| Âge: | 0-5 |
| Taille de l’échantillon: | 6801409 |
| Références: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| 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 |
0-5 years, 2009-2010
| Âge: | 0-5 |
| Taille de l’échantillon: | 7560 |
| Références: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| 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 |
0-5 years, 2008-2009
| Âge: | 0-5 |
| Taille de l’échantillon: | 5728513 |
| Références: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| 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 |
0-5 years, 2004-2005
| Âge: | 0-5 |
| Taille de l’échantillon: | 8118 |
| Références: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| 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 |
0-5 years, 1999
| Âge: | 0-5 |
| Taille de l’échantillon: | 2617 |
| Références: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| 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 |
0-5 years, 1996
| Âge: | 0-5 |
| Taille de l’échantillon: | 5520 |
| Références: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| 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 |
0-5 years, 1991-1992
| Âge: | 0-5 |
| Taille de l’échantillon: | 6517 |
| Références: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| 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 |
% Adults living with obesity in Tanzania 1991-2015
| Type d’enquête: | Mesuré |
| Références: | 1991: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2010: National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania and ICF Macro. 2015: Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| 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. | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
% Adults living with overweight or obesity in Tanzania 1991-2015
| Type d’enquête: | Mesuré |
| Références: | 1991: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2010: National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania and ICF Macro. 2015: Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| 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. | |
| Différentes méthodologies peuvent avoir été utilisées pour collecter ces données et, par conséquent, les données de différentes enquêtes peuvent ne pas être strictement comparables. Veuillez vérifier auprès des sources de données d'origine les méthodologies utilisées | |
Surpoids/obésité selon le niveau de scolarité
Hommes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 11635 |
| Région couverte: | National |
| Références: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| 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. | |
Garçons, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Filles, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Filles, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2158 |
| 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. Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF |
| 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 |
0-5 years, 2015-2016
| Taille de l’échantillon: | 9816 |
| Références: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| 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 |
0-5 years, 2009-2010
| Taille de l’échantillon: | 7560 |
| Références: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| 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 |
0-5 years, 2004-2005
| Taille de l’échantillon: | 8118 |
| Références: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| 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 |
0-5 years, 1999
| Taille de l’échantillon: | 2617 |
| Références: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| 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 |
0-5 years, 1996
| Taille de l’échantillon: | 5520 |
| Références: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| 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 |
0-5 years, 1991-1992
| Taille de l’échantillon: | 6517 |
| Références: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| 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 |
Surpoids/obésité selon l'âge
Adultes, 2022
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2015-2016
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 11635 |
| Région couverte: | National |
| Références: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. |
| 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. | |
Enfants, 2019
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 1170 |
| Région couverte: | Régional |
| Références: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Cutoffs: | WHO |
Enfants, 2012
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 1781 |
| Région couverte: | Régional |
| Références: | Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524. |
| Cutoffs: | WHO |
Surpoids/obésité selon la région
Hommes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 11635 |
| Région couverte: | National |
| Références: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. |
| 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. | |
Garçons, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Filles, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Enfants, 2019
| Type d’enquête: | Mesuré |
| Âge: | 9-11 |
| Taille de l’échantillon: | 1170 |
| Région couverte: | Régional |
| Références: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Cutoffs: | WHO |
Filles, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2157 |
| 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. Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF |
| 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 |
0-5 years, 2022
| Taille de l’échantillon: | 5485 |
| Références: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| 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 |
0-5 years, 2020-2021
| Type d’enquête: | Mesuré |
| Taille de l’échantillon: | 8654907 |
| Région couverte: | National |
| Références: | National Panel Survey 2020-21, Wave 5 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019-2020
| Taille de l’échantillon: | 5223133 |
| Références: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| 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 |
0-5 years, 2019-2020
| Type d’enquête: | Mesuré |
| Âge: | 1-5 |
| Taille de l’échantillon: | 5223132 |
| Région couverte: | National |
| Références: | Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. NB. 12 to 59 months |
| Définitions (uniquement disponible en anglais): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2015-2016
| Taille de l’échantillon: | 9816 |
| Références: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| 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 |
0-5 years, 2012-2013
| Taille de l’échantillon: | 6565673 |
| Références: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| 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 |
0-5 years, 2010-2011
| Taille de l’échantillon: | 6801409 |
| Références: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| 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 |
0-5 years, 2009-2010
| Taille de l’échantillon: | 7560 |
| Références: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| 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 |
0-5 years, 2008-2009
| Taille de l’échantillon: | 5728513 |
| Références: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| 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 |
0-5 years, 2004-2005
| Taille de l’échantillon: | 8118 |
| Références: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| 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 |
0-5 years, 1999
| Taille de l’échantillon: | 2617 |
| Références: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| 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 |
0-5 years, 1996
| Taille de l’échantillon: | 5520 |
| Références: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| 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 |
0-5 years, 1991-1992
| Taille de l’échantillon: | 6517 |
| Références: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| 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 |
Surpoids/obésité selon le groupe socio-économique
Hommes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20-49 |
| Taille de l’échantillon: | 9608 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| 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. | |
Femmes, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 15-49 |
| Taille de l’échantillon: | 11635 |
| Région couverte: | National |
| Références: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF.(http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| 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. | |
Garçons, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Filles, 2022
| Type d’enquête: | Mesuré |
| Âge: | 15-19 |
| Taille de l’échantillon: | 2863 |
| Région couverte: | National |
| Références: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Enfants, 2019
| Type d’enquête: | Mesuré |
| Âge: | 9-11 |
| Taille de l’échantillon: | 1170 |
| Région couverte: | Régional |
| Références: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Notes: | Type of School has been used to classify wealth. Privately educated are classified as Richer, Governement educated Poorer |
| Cutoffs: | WHO |
Enfants, 2012
| Type d’enquête: | Mesuré |
| Âge: | 8-13 |
| Taille de l’échantillon: | 1781 |
| Région couverte: | Régional |
| Références: | Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524. |
| Notes: | Wealth based on type of education. Privately educated children classified as Richer, those not privately educated classified as Poorer |
| Cutoffs: | WHO |
0-5 years, 2022
| Taille de l’échantillon: | 5485 |
| Références: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| 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 |
0-5 years, 2015-2016
| Taille de l’échantillon: | 9816 |
| Références: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| 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 |
0-5 years, 2009-2010
| Taille de l’échantillon: | 7560 |
| Références: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| 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 |
0-5 years, 2004-2005
| Taille de l’échantillon: | 8118 |
| Références: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| 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 |
0-5 years, 1999
| Taille de l’échantillon: | 2617 |
| Références: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| 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 |
0-5 years, 1996
| Taille de l’échantillon: | 5520 |
| Références: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| 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 |
Double burden of underweight & overweight
Adultes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Références: | 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 |
| Définitions (uniquement disponible en anglais): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Enfants, 2022
| Type d’enquête: | Mesuré |
| Âge: | 5-19 |
| Références: | 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 |
| Définitions (uniquement disponible en anglais): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Définitions (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 |
0-5 years, 2020-2021
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | National Panel Survey 2020-21, Wave 5 |
| Définitions (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 |
0-5 years, 2015-2016
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Définitions (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 |
0-5 years, 2012-2013
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| Définitions (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 |
0-5 years, 2010-2011
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| Définitions (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 |
0-5 years, 2009-2010
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Définitions (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 |
0-5 years, 2008-2009
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| Définitions (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 |
0-5 years, 2004-2005
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Définitions (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 |
0-5 years, 1999
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Définitions (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 |
0-5 years, 1996
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Définitions (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 |
0-5 years, 1991-1992
| Type d’enquête: | Mesuré |
| Âge: | 0-5 |
| Références: | 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: | Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Définitions (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 |
% d'activité physique insuffisante
Adultes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | 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)-(-) |
| Définitions (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. |
Hommes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | 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)-(-) |
| Définitions (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. |
Femmes, 2022
| Type d’enquête: | Autodéclaré |
| Âge: | 18+ |
| Région couverte: | National |
| Références: | 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)-(-) |
| Définitions (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. |
Adultes, 2016
| Références: | 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 |
Hommes, 2016
| Références: | 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 |
Femmes, 2016
| Références: | 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 |
Enfants, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garçons, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2016
| Type d’enquête: | Autodéclaré |
| Âge: | 11-17 |
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Enfants, 2010
| Âge: | 11-17 |
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garçons, 2010
| Âge: | 11-17 |
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2010
| Âge: | 11-17 |
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Fréquence quotidienne moyenne de consommation de boissons non-alcoolisées gazeuses
Enfants, 2009-2015
| Type d’enquête: | Mesuré |
| Âge: | 12-17 |
| Références: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Adultes, 2017
| Âge: | 25+ |
| Région couverte: | National |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per capita fruit intake (g/day) |
Prévalence d'une consommation de fruits inférieure à 1 fois par jour
Enfants, 2014
| Type d’enquête: | Autodéclaré |
| Âge: | 12-17 |
| Région couverte: | National |
| Références: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Définitions (uniquement disponible en anglais): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prévalence d'une consommation de légumes inférieure 1 fois par jour
Enfants, 2014
| Type d’enquête: | Autodéclaré |
| Âge: | 12-17 |
| Région couverte: | National |
| Références: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Définitions (uniquement disponible en anglais): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Fréquence hebdomadaire moyenne de consommation de restauration rapide
Enfants, 2009-2015
| Âge: | 12-17 |
| Références: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Adultes, 2017
| Âge: | 25+ |
| Région couverte: | National |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adultes, 2017
| Type d’enquête: | Mesuré |
| Âge: | 25+ |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per-capita whole grains intake (g/day) |
Santé mentale - troubles dépressifs
Adultes, 2021
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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) |
| Définitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Hommes, 2021
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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) |
| Définitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Femmes, 2021
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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) |
| Définitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Adultes, 2015
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % of population with depression disorders |
Enfants, 2021
| Région couverte: | National |
| Références: | 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) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garçons, 2021
| Région couverte: | National |
| Références: | 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) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Filles, 2021
| Région couverte: | National |
| Références: | 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) |
| Définitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Santé mentale - troubles anxieux
Adultes, 2021
| Âge: | 20+ |
| Références: | 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). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Hommes, 2021
| Âge: | 20+ |
| Références: | 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). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Femmes, 2021
| Âge: | 20+ |
| Références: | 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). |
| Définitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Adultes, 2015
| Références: | 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. |
| Définitions (uniquement disponible en anglais): | % of population with anxiety disorders |
Enfants, 2021
| Références: | 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) |
Garçons, 2021
| Références: | 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) |
Filles, 2021
| Références: | 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) |
% de nourrissons âgés de 0 à 5 mois nourris exclusivement avec du lait maternel
0-5 years, 2010-2024
| Références: | The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| 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. |
Percent of population who cannot afford a healthy diet
Adultes, 2024
| Région couverte: | National |
| Références: | 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. |
Adultes, 2022
| Région couverte: | National |
| Références: | 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. |
Cancer de l'œsophage
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du sein
Femmes, 2022
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Cancer colorectal
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du pancréas
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de la vésicule biliaire
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer des reins
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de l'utérus
Femmes, 2022
| Âge: | 20+ |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2020
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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 10.01.2345 |
| Définitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Hypertension
Adultes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hommes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Femmes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hypercholestérolémie
Adultes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hommes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Femmes, 2008
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Définitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hyperglycémie à jeun
Hommes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Femmes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prévalence du diabète
Adultes, 2024
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Adultes, 2021
| Âge: | 20-79 |
| Région couverte: | National |
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Age-adjusted comparative prevalence of diabetes, % |
Adultes, 2019
| Âge: | 20-79 |
| Références: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Adultes, 2017
| Références: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Définitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Femmes, 2022
| Âge: | 20+ |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Leukemia
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| 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. | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| 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. | |
Liver and intrahepatic bile duct Cancer
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Multiple Myeloma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
| 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. | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Indicence per 100,000 |
| 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. | |
Non Hodgkin Lymphoma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| 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. | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| 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. | |
Thyroid Cancer
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
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? | Unknown |
| Back-of-pack nutrition declaration? | Unknown |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Present |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Present |
| 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? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Unknown |
| Evidence-based dietary guidelines and/or RDAs? | Absent |
| 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 August 5, 2024
Download contextual factors as a PDF Contextual factors definitions
