Τανζανία
Lower-middle income
- Επισκόπηση
- Επιπολασμός της παχυσαρκίας
- Τάσεις σε συνάρτηση με τον χρόνο
- Κατανομή πληθυσμού
- Παράγοντες
- Συννοσηρότητες
- Οικονομικές επιπτώσεις
- Πολιτικές
- Contextual factors
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
Κατανομή πληθυσμού
Παράγοντες
Ανεπαρκής δραστηριότητα
Κατανάλωση αναψυκτικών
Κατανάλωση φρούτων
Κατανάλωση λαχανικών
Κατανάλωση γρήγορου φαγητού
Κατανάλωση επεξεργασμένου κρέατος
Κατανάλωση δημητριακών
Κατάθλιψη
Άγχος
Αίτια της παχυσαρκίας »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Θηλασμός
Unaffordable diet
Λήψη κάρτας αναφοράς
Συννοσηρότητες
Καρκίνος του οισοφάγου
Καρκίνος του μαστού
Κολοορθικός καρκίνος
Καρκίνος του παγκρέατος
Καρκίνος της χοληδόχου κύστης
Καρκίνος του νεφρού
Καρκίνος της μήτρας
Αυξημένη αρτηριακή πίεση
Αυξημένη χοληστερόλη
Αυξημένη γλυκόζη αίματος νηστε
Επιπολασμός του διαβήτη
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Λήψη κάρτας αναφοράς
Οικονομικές επιπτώσεις
Πολιτικές
Contextual factors
Επιπολασμός της παχυσαρκίας
Ενήλικες, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 20-49 |
| Μέγεθος δείγματος: | 9608 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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) |
| Σημειώσεις: | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population of Tanzania % total female 2022 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 16.12.25) |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2018
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 8,482 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| Σημειώσεις: | SMART Methodology |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2015-2016
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 11634 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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) |
| Σημειώσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2014
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 16,652 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] |
| Σημειώσεις: | SMART Methodology |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Ενήλικες, 2012
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 25-64 |
| Μέγεθος δείγματος: | 5680 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | WHO STEPS Survey Tanzania 2012, available at https://www.who.int/ncds/surveillance/steps/tanzania/en/ (last accessed 21.10.20) |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Ενήλικες, 2011
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 25-64 |
| Μέγεθος δείγματος: | 2520 |
| Γεωγραφική κάλυψη: | Regional (Zanzibar) |
| Παραπομπές: | STEPS |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2010
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 8789 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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. |
| Σημειώσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Ενήλικες, 1998-1999
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 25-64 |
| Μέγεθος δείγματος: | 9313 |
| Γεωγραφική κάλυψη: | Υποεθνική |
| Παραπομπές: | 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. |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 1991-1992
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 4597 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Σημειώσεις: | 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 |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Παιδιά, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-19 |
| Μέγεθος δείγματος: | 2863 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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 |
Παιδιά, 2019
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 9-11 |
| Μέγεθος δείγματος: | 1170 |
| Γεωγραφική κάλυψη: | Περιφερειακή |
| Παραπομπές: | 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 |
Κορίτσια, 2015-2016
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-19 |
| Μέγεθος δείγματος: | 2157 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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 |
| Ορισμοί: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
Παιδιά, 2012
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 8-13 |
| Μέγεθος δείγματος: | 1781 |
| Γεωγραφική κάλυψη: | Περιφερειακή |
| Παραπομπές: | 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
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 5485 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2020-2021
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 8654908 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | National Panel Survey 2020-21, Wave 5 |
| Σημειώσεις: | 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/. |
| Ορισμοί: | 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
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 1-5 |
| Μέγεθος δείγματος: | 5223133 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| Σημειώσεις: | 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 |
| Ορισμοί: | 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
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 5223133 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2018
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | SMART: Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2015-2016
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 9816 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2014
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | SMART: Tanzania national nutrition survey 2014: Final report. United Republic of Tanzania, December 2014. |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2012-2013
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 6565673 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2010-2011
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 6801409 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2009-2010
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 7560 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2008-2009
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 5728513 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2004-2005
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 8118 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1999
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 2617 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1996
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 5520 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1991-1992
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 0-5 |
| Μέγεθος δείγματος: | 6517 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
% Adults living with obesity in Tanzania 1991-2018
| ????? ???????: | ??? ??????? |
| ??????????: | 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. 2014: Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] 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) 2018: Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
% Adults living with overweight or obesity in Tanzania 1991-2018
| ????? ???????: | ??? ??????? |
| ??????????: | 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. 2014: Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] 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) 2018: Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| Σημει?σεις: | Ages 15-49 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
| Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν | |
?????????? ?????/?????????? ??? ????????? ???????
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20-49 |
| ??????? ?????????: | 9608 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20-49 |
| ??????? ?????????: | 9608 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2015-2016
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 11635 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 2863 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 2863 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
????????, 2015-2016
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 2158 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | 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
| ??????? ?????????: | 9816 |
| ??????????: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2009-2010
| ??????? ?????????: | 7560 |
| ??????????: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2004-2005
| ??????? ?????????: | 8118 |
| ??????????: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999
| ??????? ?????????: | 2617 |
| ??????????: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996
| ??????? ?????????: | 5520 |
| ??????????: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1991-1992
| ??????? ?????????: | 6517 |
| ??????????: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
Υπερβολικό βάρος/παχυσαρκία ανά ηλικία
Ενήλικες, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 9608 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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) |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2018
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 8,482 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| Σημειώσεις: | SMART Methodology |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2015-2016
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 11635 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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. |
| Σημειώσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2014
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 16,652 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] |
| Σημειώσεις: | SMART Methodology |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Παιδιά, 2019
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 1170 |
| Γεωγραφική κάλυψη: | Περιφερειακή |
| Παραπομπές: | 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 |
Παιδιά, 2012
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 1781 |
| Γεωγραφική κάλυψη: | Περιφερειακή |
| Παραπομπές: | 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 |
Υπερβολικό βάρος/παχυσαρκία ανά περιφέρεια
Ανδρες, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 20-49 |
| Μέγεθος δείγματος: | 9608 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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) |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 20-49 |
| Μέγεθος δείγματος: | 9608 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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) |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2018
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 8,482 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| Σημειώσεις: | Overweight/obesity by smaller region is available in report |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2015-2016
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 11635 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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. |
| Σημειώσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Γυναίκες, 2014
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-49 |
| Μέγεθος δείγματος: | 16,652 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] |
| Σημειώσεις: | Overweight/obesity by smaller region is available in report |
| Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβ&omi. | |
Αγόρια, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-19 |
| Μέγεθος δείγματος: | 2863 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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 |
Κορίτσια, 2022
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-19 |
| Μέγεθος δείγματος: | 2863 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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 |
Παιδιά, 2019
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 9-11 |
| Μέγεθος δείγματος: | 1170 |
| Γεωγραφική κάλυψη: | Περιφερειακή |
| Παραπομπές: | 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 |
Κορίτσια, 2015-2016
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 15-19 |
| Μέγεθος δείγματος: | 2157 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | 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 |
| Ορισμοί: | 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
| Μέγεθος δείγματος: | 5485 |
| Παραπομπές: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2020-2021
| Τύπος έρευνας: | Από μέτρηση |
| Μέγεθος δείγματος: | 8654907 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | National Panel Survey 2020-21, Wave 5 |
| Σημειώσεις: | 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/. |
| Ορισμοί: | 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
| Μέγεθος δείγματος: | 5223133 |
| Παραπομπές: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2019-2020
| Τύπος έρευνας: | Από μέτρηση |
| Ηλικία: | 1-5 |
| Μέγεθος δείγματος: | 5223132 |
| Γεωγραφική κάλυψη: | Εθνική |
| Παραπομπές: | Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| Σημειώσεις: | 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 |
| Ορισμοί: | 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
| Μέγεθος δείγματος: | 9816 |
| Παραπομπές: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2012-2013
| Μέγεθος δείγματος: | 6565673 |
| Παραπομπές: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2010-2011
| Μέγεθος δείγματος: | 6801409 |
| Παραπομπές: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2009-2010
| Μέγεθος δείγματος: | 7560 |
| Παραπομπές: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2008-2009
| Μέγεθος δείγματος: | 5728513 |
| Παραπομπές: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 2004-2005
| Μέγεθος δείγματος: | 8118 |
| Παραπομπές: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1999
| Μέγεθος δείγματος: | 2617 |
| Παραπομπές: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1996
| Μέγεθος δείγματος: | 5520 |
| Παραπομπές: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
0-5 years, 1991-1992
| Μέγεθος δείγματος: | 6517 |
| Παραπομπές: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Σημειώσεις: | 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. |
| Ορισμοί: | =>+2SD |
?????????? ?????/?????????? ??? ??????????????????? ?????
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20-49 |
| ??????? ?????????: | 9608 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20-49 |
| ??????? ?????????: | 9608 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2015-2016
| ????? ???????: | ??? ??????? |
| ??????: | 15-49 |
| ??????? ?????????: | 11635 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 2863 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 15-19 |
| ??????? ?????????: | 2863 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
??????, 2019
| ????? ???????: | ??? ??????? |
| ??????: | 9-11 |
| ??????? ?????????: | 1170 |
| ?????????? ??????: | ???????????? |
| ??????????: | 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. |
| Σημει?σεις: | Type of School has been used to classify wealth. Privately educated are classified as Richer, Governement educated Poorer |
| Cutoffs: | WHO |
??????, 2012
| ????? ???????: | ??? ??????? |
| ??????: | 8-13 |
| ??????? ?????????: | 1781 |
| ?????????? ??????: | ???????????? |
| ??????????: | 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. |
| Σημει?σεις: | 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
| ??????? ?????????: | 5485 |
| ??????????: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2015-2016
| ??????? ?????????: | 9816 |
| ??????????: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2009-2010
| ??????? ?????????: | 7560 |
| ??????????: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 2004-2005
| ??????? ?????????: | 8118 |
| ??????????: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1999
| ??????? ?????????: | 2617 |
| ??????????: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
0-5 years, 1996
| ??????? ?????????: | 5520 |
| ??????????: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Σημει?σεις: | 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. |
| Ορισμο?: | =>+2SD |
Double burden of underweight & overweight
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20+ |
| ??????????: | 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. |
| Σημει?σεις: | Age Standardised estimates |
| Ορισμο?: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 5-19 |
| ??????????: | 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. |
| Σημει?σεις: | Age standardised estimates |
| Ορισμο?: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | National Panel Survey 2020-21, Wave 5 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Ορισμο?: | 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
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | 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] |
| Σημει?σεις: | Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Ορισμο?: | 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 |
????????? ???????? ??????
????????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
??????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
????????, 2022
| ????? ???????: | ???????????????? |
| ??????: | 18+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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)-(-) |
| Ορισμο?: | 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. |
????????, 2016
| ??????????: | 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 |
??????, 2016
| ??????????: | 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 |
????????, 2016
| ??????????: | 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 |
??????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2016
| ????? ???????: | ???????????????? |
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2010
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2010
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2010
| ??????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Σημει?σεις: | % 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. |
| Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
???? ???????? ????????? ??????????? ??????????? ???????????
??????, 2009-2015
| ????? ???????: | ??? ??????? |
| ??????: | 12-17 |
| ??????????: | 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
????????, 2017
| ??????: | 25+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per capita fruit intake (g/day) |
Επιπολασμ?ς της καταν?λωσης φρο?των λιγ?τερο συχν? απ? ημερησ?ως
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 12-17 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Επιπολασμ?ς της καταν?λωσης λαχανικ?ν λιγ?τερο συχν? απ? ημερησ?ως
??????, 2014
| ????? ???????: | ???????????????? |
| ??????: | 12-17 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
???? ??????????? ????????? ??????????? ???????? ???????
??????, 2009-2015
| ??????: | 12-17 |
| ??????????: | 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
????????, 2017
| ??????: | 25+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
????????, 2017
| ????? ???????: | ??? ??????? |
| ??????: | 25+ |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per-capita whole grains intake (g/day) |
?????? ????? - ????????????? ??????????
????????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
??????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
????????, 2021
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depression per 100,000 population (adults 20+ years) |
????????, 2015
| ??????????: | 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. |
| Ορισμο?: | % of population with depression disorders |
??????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
??????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
????????, 2021
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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) |
| Ορισμο?: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
?????? ????? - ???????? ??????????
????????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
??????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
????????, 2021
| ??????: | 20+ |
| ??????????: | 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). |
| Ορισμο?: | Number living with anxiety per 100,000 population |
????????, 2015
| ??????????: | 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. |
| Ορισμο?: | % of population with anxiety disorders |
??????, 2021
| ??????????: | 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) |
??????, 2021
| ??????????: | 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) |
????????, 2021
| ??????????: | 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) |
% ?????? ??????? 0-5 ????? ??? ????????? ???????????? ???? ??? ???????? ????????
0-5 years, 2010-2024
| ??????????: | The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Σημει?σεις: | 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
????????, 2024
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Σημει?σεις: | The percent of the population whose food budget is below the cost of a healthy diet. |
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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. |
???????? ??? ?????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2022
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????????? ????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ????????? ??????
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
Καρκ?νος του νεφρο?
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
??????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2022
| ??????: | 20+ |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2020
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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 |
| Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ????????? ?????
????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Αυξημ?νη χοληστερ?λη
????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
??????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Αυξημ?νη γλυκ?ζη α?ματος νηστε?ας
??????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
??????????? ??? ???????
????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
????????, 2021
| ??????: | 20-79 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Ορισμο?: | Age-adjusted comparative prevalence of diabetes, % |
????????, 2019
| ??????: | 20-79 |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
????????, 2017
| ??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
????????, 2022
| ??????: | 20+ |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
Leukemia
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
Liver and intrahepatic bile duct Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
Multiple Myeloma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Indicence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
Non Hodgkin Lymphoma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m, ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m. | |
Thyroid Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | 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] |
| Ορισμο?: | 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
Last updated August 5, 2024
Download contextual factors as a PDF Contextual factors definitions