• Overview
  • Obesity prevalence
  • Trends over time
  • Population breakdowns
  • Drivers
  • Comorbidities
  • Economic impact
  • Policies
  • Contextual factors
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National obesity risk *7.5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Childhood obesity risk *4.5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
* Based on estimated data. For more information see Publications

Obesity prevalence

Trends over time

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Population breakdowns

By education

By age

By region

By socio-economic group

Drivers

Insufficient activity

Soft drink consumption

Fruit consumption

Vegetable consumption

Fast food consumption

Processed meat consumption

Grains consumption

Depression

Anxiety

Roots of obesity »

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

Breastfeeding

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Comorbidities

Oesophageal cancer

Breast cancer

Colorectal cancer

Pancreatic cancer

Gallbladder cancer

Kidney cancer

Cancer of the uterus

Raised blood pressure

Raised cholesterol

Raised fasting blood glucose

Diabetes prevalence

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Economic impact

Economic impact

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Policies

Nutritional or Health Strategy

Labelling

NCD Strategy

Breastfeeding

Obesity Target

Multisectoral national mechanism for obesity

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Contextual factors

Contextual factors

Obesity prevalence

Women, 2015-2016

Survey type:Measured
Age:15-49
Sample size:11634
Area covered:National
References:Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017)
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Adults, 2012

Survey type:Measured
Age:25-64
Sample size:5680
Area covered:National
References:WHO STEPS Survey Tanzania 2012, available at https://www.who.int/ncds/surveillance/steps/tanzania/en/ (last accessed 21.10.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Adults, 2011

Survey type:Measured
Age:25-64
Sample size:2520
Area covered:Regional (Zanzibar)
References:STEPS
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2010

Survey type:Measured
Age:15-49
Sample size:8789
Area covered:National
References:National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania and ICF Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Adults, 1998-1999

Survey type:Measured
Age:25-64
Sample size:9313
Area covered:Subnational
References: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.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 1991-1992

Survey type:Measured
Age:15-49
Sample size:4597
Area covered:National
References:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Notes:The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA: Central Statistical Office and Macro International
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2019

Survey type:Measured
Age:9-11
Sample size:1170
Area covered:Regional
References: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
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Girls, 2015-2016

Survey type:Measured
Age:15-19
Sample size:2157
Area covered:National
References: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
Definitions:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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Children, 2012

Survey type:Measured
Age:8-13
Sample size:1781
Area covered:Regional
References: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
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Overweight/obesity by education

Women, 2015-2016

Survey type:Measured
Age:15-49
Sample size:11635
Area covered:National
References:Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017)
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Girls, 2015-2016

Survey type:Measured
Age:15-19
Sample size:2158
Area covered:National
References: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
Definitions:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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Overweight/obesity by age

Women, 2015-2016

Survey type:Measured
Sample size:11635
Area covered:National
References:Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2019

Survey type:Measured
Sample size:1170
Area covered:Regional
References: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
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Children, 2012

Survey type:Measured
Sample size:1781
Area covered:Regional
References: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
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Overweight/obesity by region

Women, 2015-2016

Survey type:Measured
Age:15-49
Sample size:11635
Area covered:National
References:Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2019

Survey type:Measured
Age:9-11
Sample size:1170
Area covered:Regional
References: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
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Girls, 2015-2016

Survey type:Measured
Age:15-19
Sample size:2157
Area covered:National
References: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
Definitions:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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Overweight/obesity by socio-economic group

Women, 2015-2016

Survey type:Measured
Age:15-49
Sample size:11635
Area covered:National
References:Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF.(http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017)
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2019

Survey type:Measured
Age:9-11
Sample size:1170
Area covered:Regional
References:Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999.
Notes:Type of School has been used to classify wealth. Privately educated are classified as Richer, Governement educated Poorer
Cutoffs:WHO
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Children, 2012

Survey type:Measured
Age:8-13
Sample size:1781
Area covered:Regional
References:Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524.
Notes:Wealth based on type of education. Privately educated children classified as Richer, those not privately educated classified as Poorer
Cutoffs:WHO
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Insufficient physical activity

Adults, 2016

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

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

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

Survey type:Self-reported
Age:11-17
References:Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions:% Adolescents insufficiently active (age standardised estimate)
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Boys, 2016

Survey type:Self-reported
Age:11-17
References:Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions:% Adolescents insufficiently active (age standardised estimate)
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Girls, 2016

Survey type:Self-reported
Age:11-17
References:Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21)
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions:% Adolescents insufficiently active (age standardised estimate)
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Children, 2010

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

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

Age:11-17
References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en
Notes:% of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily.
Definitions:% Adolescents insufficiently active (age standardised estimate)
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Average daily frequency of carbonated soft drink consumption

Children, 2009-2015

Survey type:Measured
Age:12-17
References: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
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Estimated per capita fruit intake

Adults, 2017

Survey type:Measured
Age:25+
References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:Estimated per-capita fruit intake (g/day)
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Prevalence of less than daily fruit consumption

Children, 2009-2015

Survey type:Measured
Age:12-17
References: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
Definitions:Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption)
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Prevalence of less than daily vegetable consumption

Children, 2009-2015

Survey type:Measured
Age:12-17
References: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
Definitions:Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption)
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Average weekly frequency of fast food consumption

Children, 2009-2015

Age:12-17
References: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
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Estimated per-capita processed meat intake

Adults, 2017

Survey type:Measured
Age:25+
References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:Estimated per-capita processed meat intake (g per day)
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Estimated per capita whole grains intake

Adults, 2017

Survey type:Measured
Age:25+
References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:Estimated per-capita whole grains intake (g/day)
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Mental health - depression disorders

Adults, 2015

References: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.
Definitions:% of population with depression disorders
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Mental health - anxiety disorders

Adults, 2015

References: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.
Definitions:% of population with anxiety disorders
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% Infants exclusively breastfed 0-5 months

Children, 2005-2020

Area covered:National
References:Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF.
Notes:See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021.
Definitions:% exclusively breastfed 0-5 months
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Oesophageal cancer

Men, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Breast cancer

Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Colorectal cancer

Men, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Pancreatic cancer

Men, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Gallbladder cancer

Men, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Kidney cancer

Men, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Cancer of the uterus

Women, 2020

Age:20+
Area covered:National
References: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
Definitions:Age-standardized indicence rates per 100 000
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Raised blood pressure

Adults, 2015

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

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

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

Adults, 2008

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definitions:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Men, 2008

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definitions:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Women, 2008

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definitions:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Raised fasting blood glucose

Men, 2014

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

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
Definitions:Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
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Diabetes prevalence

Adults, 2021

Age:20-79
Area covered:National
References:Reproduced with kind permission International Diabetes Federation.  IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org
Definitions:Age-adjusted comparative prevalence of diabetes, %
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Adults, 2019

Age:20-79
References:Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org
Definitions:Diabetes age-adjusted comparative prevalence (%).
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Adults, 2017

References:Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org
Definitions:Diabetes age-adjusted comparative prevalence (%).
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Economic impact of overweight and obesity

Country comparisons

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

Policies, Interventions and Actions

NCD Country Profiles 2018 (Obesity Targets)

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

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

National Multisectoral Nutrition Action Plan (NMNAP)

National Multisectoral Nutrition Action Plan (NMNAP) reflects Tanzania’s commitment to addressing the unacceptably high levels of malnutrition and translates into a single comprehensive national plan the nutrition relevant national, regional and international commitments that Tanzania has made

Categories:Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Evidence of NCD strategy
Year(s):2016-2021
Target age group:Adults and children
Organisation:United Republic of Tanzania Prime Minister Office
Linked document:Download linked document
References:United Republic of Tanzania (2016): National Multisectoral Nutrition Action Plan (NMNAP) for the period July 2016 – June 2021

National Nutrition Strategy

The aim of this Strategy is for all Tanzanians attain adequate nutritional status, which is an essential requirement for a healthy and productive nation.

Categories (partial):Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):2011-2016
Target age group:Adults and children
Organisation:Ministry of Health and Social Welfare
Find out more:Link currently unavailable. If you aware of the location of this document please email obesity@worldobesity.org
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en

Technical Working Group, Nutrition (TWG-N)

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

Categories:Evidence of a multi-sectoral national coordination mechanism for obesity or nutrition (including obesity)
Year(s):2011 (ongoing)
Target age group:Adults and children
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/27155 (last accessed 04.08.22)

Tanzania Food, Drugs and Cosmetics Act (Food Labelling)

Mandatory national labelling guidelines for pre-packaged food approved by the Minister of Health and Social Welfare and adopted from July 2006. (Available only in English language)

Categories:Labelling Regulation/Guidelines
Year(s):2006 (ongoing)
Target age group:Adults and children
Organisation:Minister of Health and Social Welfare
Linked document:Download linked document
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/36032 (last accessed 03.08.22)

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

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

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Adults
Organisation:Ministry of Health (information provided by the GINA progam)
Find out more:extranet.who.int
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en

Marketing of Breast-Milk Substitutes: National Implementation of the International Code Status Report 2016 (Promotion of Breastfeeding)

The 2016 report provides information on the status of implementing the International Code of Marketing of Breast-milk Substitutes and subsequent relevant World Health Assembly resolutions (“the Code”) in and by countries. The report also identifies in which countries they actively promote the benefits of breastfeeding.

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Adults
Organisation:WHO UNICEF IBFAN
References:WHO. UNICEF. IBFAN. Marketing of Breast-milk Substitutes: National Implementation of the International Code. Status Report 2016. Geneva: World Health Organization; 2016

No actions could be found for the above criteria.

Contextual factors

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

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

Labelling

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

Regulation and marketing

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

Political will and support

National obesity strategy or nutrition and physical activity national strategy?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
Guidelines/policy on obesity treatment?Absent
Promotion of breastfeeding?Present

Monitoring and surveillance

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

Governance and resource

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

Key

Present
Present (voluntary)
Incoming
Absent
Unknown

Last updated September 13, 2022

See more policies here

Download contextual factors as a PDF Contextual factors definitions

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