Uganda
Low income
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Economic impact
- Policies
- Contextual factors
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National obesity risk *7/10This 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).
Report cards
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Population breakdowns
Drivers
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
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
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Economic impact
Policies
Contextual factors
Obesity prevalence
Adults, 2023
| Survey type: | Measured |
| Age: | 18-69 |
| Sample size: | 3466 |
| Area covered: | National |
| References: | Bahendeka Silver, Guwatudde David, Mutungi Gerald, Kusolo Ronald, Kajura Richard and Wesonga Ronald, 2023 Report on Non-Communicable Disease Risk Factors STEPS Survey 2023. Ministry of Health, Kampala, Uganda Available at https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/uganda/steps-survey-2023-moh-report.pdf?sfvrsn=b4e1b914_1&download=true (last accessed 16.04.24) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF.. https://www.dhsprogram.com/publications/publication-fr333-dhs-final-reports.cfm (last accessed 18.11.19) |
| 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. | |
Adults, 2014
| Survey type: | Measured |
| Age: | 18-69 |
| Sample size: | 3670 |
| Area covered: | National |
| References: | WHO STEPS Survey UGANDA 2014, available at https://www.who.int/ncds/surveillance/steps/Uganda_2014_STEPS_Report.pdf (last accessed 22.10.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2011
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 4572 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics -UBOS- and ICF International. 2012. Uganda Demographic and Health Survey 2011. Kampala, Uganda: UBOS and ICF International. |
| 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. | |
Women, 2006
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 2434 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and Macro International. 2007. Uganda Demographic and Health Survey 2006. Calverton, Maryland, USA: UBOS and Macro International. |
| 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. | |
Women, 2000-2001
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 3322 |
| Area covered: | National |
| References: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
| 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. | |
Women, 1995
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 3199 |
| 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. | |
Children, 2011
| Survey type: | Measured |
| Age: | 15-19 |
| Sample size: | 970 |
| 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. Uganda Bureau of Statistics -UBOS- and ICF International. 2012. Uganda Demographic and Health Survey 2011. Kampala, Uganda: UBOS and ICF International. |
| Notes: | 502 girls and 468 boys. Small sample size |
| Definitions: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
Children, 2003
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 3215 |
| Area covered: | National |
| References: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/gshs_fs_UG_national.pdf?ua=1 (last accessed 24.11.20) |
| Notes: | WHO cutoffs. |
| Cutoffs: | WHO |
0-5 years, 2019-2020
| Age: | 0-5 |
| Sample size: | 4664972 |
| References: | LSMS: Uganda National Panel Survey 2019-2020 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2018-2019
| Age: | 0-5 |
| Sample size: | 5471695 |
| References: | LSMS: Uganda National Panel Survey 2018-2019 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2016
| Age: | 0-5 |
| Sample size: | 5191 |
| References: | DHS: Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. 2018 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2016
| Survey type: | Measured |
| Age: | 0-5 |
| Sample size: | 5136 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. https://www.dhsprogram.com/publications/publication-fr333-dhs-final-reports.cfm (last accessed 18.05.21) |
| Notes: | Infants. |
| Definitions: | Weight for Height. Overweight = >2SD |
| Cutoffs: | Other |
0-5 years, 2013-2014
| Age: | 0-5 |
| Sample size: | 3685526 |
| References: | LSMS: The Uganda National Panel Survey (UNPS) 2013/14 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2011-2012
| Age: | 0-5 |
| Sample size: | 2886091 |
| References: | LSMS: Uganda National Panel Survey (UNPS) - Wave III. Kampala, Uganda: UBOS, 2013 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2011
| Age: | 0-5 |
| Sample size: | 2426 |
| References: | DHS: Uganda demographic and health survey 2011. Demographic and Health Surveys. Kampala, Uganda: UBOS and Calverton, Maryland: ICF International Inc., 2012 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2010-2011
| Age: | 0-5 |
| Sample size: | 3018119 |
| References: | LSMS: Uganda National Panel Survey 2010/11 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2009-2010
| Age: | 0-5 |
| Sample size: | 3322709 |
| References: | LSMS: The Uganda National Panel Survey (UNPS) 2009/10 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2006
| Age: | 0-5 |
| Sample size: | 2756 |
| References: | DHS: Uganda demographic and health survey 2006. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and Macro International Inc., 2007 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2000-2001
| Age: | 0-5 |
| Sample size: | 6363 |
| References: | DHS: Uganda demographic and health survey 2000-2001. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and ORC Macro, 2001 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1995
| Age: | 0-5 |
| Sample size: | 4925 |
| References: | DHS: Uganda demographic and health survey 1995. Demographic and Health Surveys. Calverton, Maryland: Statistics Department and Macro International Inc., 1996 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1988-1989
| Age: | 0-5 |
| Sample size: | 3805 |
| References: | DHS: Uganda demographic and health survey 1988/89. Demographic and Health Surveys. Ministry of Health. Entebbe, Uganda, 1989 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
% Adults living with obesity in Uganda 1995-2016
| Survey type: | Measured |
| References: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2006: Uganda Bureau of Statistics - UBOS and Macro International. 2007. Uganda Demographic and Health Survey 2006. Calverton, Maryland, USA: UBOS and Macro International. 2011: Uganda Bureau of Statistics -UBOS- and ICF International. 2012. Uganda Demographic and Health Survey 2011. Kampala, Uganda: UBOS and ICF International. 2016: Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF.. https://www.dhsprogram.com/publications/publication-fr333-dhs-final-reports.cfm (last accessed 18.11.19) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with overweight or obesity in Uganda 1995-2016
| Survey type: | Measured |
| References: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2006: Uganda Bureau of Statistics - UBOS and Macro International. 2007. Uganda Demographic and Health Survey 2006. Calverton, Maryland, USA: UBOS and Macro International. 2011: Uganda Bureau of Statistics -UBOS- and ICF International. 2012. Uganda Demographic and Health Survey 2011. Kampala, Uganda: UBOS and ICF International. 2016: Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF.. https://www.dhsprogram.com/publications/publication-fr333-dhs-final-reports.cfm (last accessed 18.11.19) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Overweight/obesity by education
Men, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics (UBOS) and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. https://dhsprogram.com/pubs/pdf/FR333/FR333.pdf (Accessed 11.05.21) |
| 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. | |
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics (UBOS) and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. https://dhsprogram.com/pubs/pdf/FR333/FR333.pdf (Accessed 11.05.21) |
| 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. | |
0-5 years, 2016
| Sample size: | 5191 |
| References: | DHS: Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. 2018 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2016
| Survey type: | Measured |
| Sample size: | 5136 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF.. https://www.dhsprogram.com/publications/publication-fr333-dhs-final-reports.cfm (last accessed 18.05.21) |
| Notes: | Infants. Based on Mother's education. |
| Definitions: | Weight for Height. Overweight = >2SD |
| Cutoffs: | Other |
0-5 years, 2011
| Sample size: | 2426 |
| References: | DHS: Uganda demographic and health survey 2011. Demographic and Health Surveys. Kampala, Uganda: UBOS and Calverton, Maryland: ICF International Inc., 2012 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2006
| Sample size: | 2756 |
| References: | DHS: Uganda demographic and health survey 2006. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and Macro International Inc., 2007 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2000-2001
| Sample size: | 6363 |
| References: | DHS: Uganda demographic and health survey 2000-2001. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and ORC Macro, 2001 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1995
| Sample size: | 4925 |
| References: | DHS: Uganda demographic and health survey 1995. Demographic and Health Surveys. Calverton, Maryland: Statistics Department and Macro International Inc., 1996 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1988-1989
| Sample size: | 3805 |
| References: | DHS: Uganda demographic and health survey 1988/89. Demographic and Health Surveys. Ministry of Health. Entebbe, Uganda, 1989 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Overweight/obesity by age
Adults, 2023
| Survey type: | Measured |
| Sample size: | 3466 |
| Area covered: | National |
| References: | Bahendeka Silver, Guwatudde David, Mutungi Gerald, Kusolo Ronald, Kajura Richard and Wesonga Ronald, 2023 Report on Non-Communicable Disease Risk Factors STEPS Survey 2023. Ministry of Health, Kampala, Uganda Available at https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/uganda/steps-survey-2023-moh-report.pdf?sfvrsn=b4e1b914_1&download=true (last accessed 16.04.24) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2016
| Survey type: | Measured |
| Sample size: | 10123 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS 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. | |
Adults, 2014
| Survey type: | Measured |
| Sample size: | 3670 |
| Area covered: | National |
| References: | WHO STEPS Survey UGANDA 2014, available at https://www.who.int/ncds/surveillance/steps/Uganda_2014_STEPS_Report.pdf (last accessed 22.10.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Overweight/obesity by region
Men, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 (15-49yrs) |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS 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. | |
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 (15-49yrs) |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS 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. | |
Boys, 2003
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 3215 |
| Area covered: | National |
| References: | World Health Organization. Global school-based student health survey (GSHS). Available from: https://www.who.int/ncds/surveillance/gshs/factsheets/en/. [Accessed 20 February 2019]. |
| Notes: | WHO cut-offs used and based on Self-reported data. |
| Cutoffs: | WHO |
Girls, 2003
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 3215 |
| Area covered: | National |
| References: | World Health Organization. Global school-based student health survey (GSHS). Available from: https://www.who.int/ncds/surveillance/gshs/factsheets/en/. [Accessed 20 February 2019]. |
| Notes: | WHO cut-offs used and based on Self-reported data. |
| Cutoffs: | WHO |
0-5 years, 2019-2020
| Sample size: | 4664972 |
| References: | LSMS: Uganda National Panel Survey 2019-2020 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2018-2019
| Sample size: | 5471695 |
| References: | LSMS: Uganda National Panel Survey 2018-2019 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2016
| Sample size: | 5191 |
| References: | DHS: Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. 2018 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2016
| Survey type: | Measured |
| Sample size: | 5136 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. |
| Notes: | Infants. |
| Definitions: | Weight for Height. Overweight = >2SD |
| Cutoffs: | Other |
0-5 years, 2013-2014
| Sample size: | 3685526 |
| References: | LSMS: The Uganda National Panel Survey (UNPS) 2013/14 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2011-2012
| Sample size: | 2886091 |
| References: | LSMS: Uganda National Panel Survey (UNPS) - Wave III. Kampala, Uganda: UBOS, 2013 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2011
| Sample size: | 2426 |
| References: | DHS: Uganda demographic and health survey 2011. Demographic and Health Surveys. Kampala, Uganda: UBOS and Calverton, Maryland: ICF International Inc., 2012 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2010-2011
| Sample size: | 3018119 |
| References: | LSMS: Uganda National Panel Survey 2010/11 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2009-2010
| Sample size: | 3322709 |
| References: | LSMS: The Uganda National Panel Survey (UNPS) 2009/10 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2006
| Sample size: | 2756 |
| References: | DHS: Uganda demographic and health survey 2006. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and Macro International Inc., 2007 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2000-2001
| Sample size: | 6363 |
| References: | DHS: Uganda demographic and health survey 2000-2001. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and ORC Macro, 2001 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1995
| Sample size: | 4925 |
| References: | DHS: Uganda demographic and health survey 1995. Demographic and Health Surveys. Calverton, Maryland: Statistics Department and Macro International Inc., 1996 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1988-1989
| Sample size: | 3805 |
| References: | DHS: Uganda demographic and health survey 1988/89. Demographic and Health Surveys. Ministry of Health. Entebbe, Uganda, 1989 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Overweight/obesity by socio-economic group
Men, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics (UBOS) and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. https://dhsprogram.com/pubs/pdf/FR333/FR333.pdf (Accessed 11.05.21) |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. Sample size = 10123 (4893 Men and 5230 Women) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10123 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics (UBOS) and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. https://dhsprogram.com/pubs/pdf/FR333/FR333.pdf (Accessed 11.05.21) |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. Sample size = 10123 (4893 Men and 5230 Women) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
0-5 years, 2016
| Sample size: | 5191 |
| References: | DHS: Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. 2018 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2016
| Survey type: | Measured |
| Sample size: | 5136 |
| Area covered: | National |
| References: | Uganda Bureau of Statistics - UBOS and ICF. 2018. Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF.. https://www.dhsprogram.com/publications/publication-fr333-dhs-final-reports.cfm (last accessed 18.05.21) |
| Notes: | Infants. |
| Definitions: | Weight for Height. Overweight = >2SD |
| Cutoffs: | Other |
0-5 years, 2011
| Sample size: | 2426 |
| References: | DHS: Uganda demographic and health survey 2011. Demographic and Health Surveys. Kampala, Uganda: UBOS and Calverton, Maryland: ICF International Inc., 2012 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2006
| Sample size: | 2756 |
| References: | DHS: Uganda demographic and health survey 2006. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and Macro International Inc., 2007 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2000-2001
| Sample size: | 6363 |
| References: | DHS: Uganda demographic and health survey 2000-2001. Demographic and Health Surveys. Calverton, Maryland, USA: UBOS and ORC Macro, 2001 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1995
| Sample size: | 4925 |
| References: | DHS: Uganda demographic and health survey 1995. Demographic and Health Surveys. Calverton, Maryland: Statistics Department and Macro International Inc., 1996 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Double burden of underweight & overweight
Adults, 2022
| Survey type: | Measured |
| Age: | 20+ |
| References: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Notes: | Age Standardised estimates |
| Definitions: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Children, 2022
| Survey type: | Measured |
| Age: | 5-19 |
| References: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Notes: | Age standardised estimates |
| Definitions: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2020
| Survey type: | Measured |
| Age: | 0-5 |
| References: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
| Notes: | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Insufficient physical activity
Adults, 2022
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 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)-(-) |
| Definitions: | 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. |
Men, 2022
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 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)-(-) |
| Definitions: | 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. |
Women, 2022
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 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)-(-) |
| Definitions: | 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. |
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 |
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 |
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 |
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) |
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) |
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) |
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) |
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) |
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) |
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) |
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) |
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) |
Mental health - depression disorders
Adults, 2021
| Age: | 20+ |
| Area covered: | National |
| References: | 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) |
| Definitions: | Number living with depression per 100,000 population (adults 20+ years) |
Men, 2021
| Age: | 20+ |
| Area covered: | National |
| References: | 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) |
| Definitions: | Number living with depression per 100,000 population (adults 20+ years) |
Women, 2021
| Age: | 20+ |
| Area covered: | National |
| References: | 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) |
| Definitions: | Number living with depression per 100,000 population (adults 20+ years) |
Adults, 2015-2021
| 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 |
Adults, 2015-2021
| 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 |
Men, 2015-2021
| 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 |
Women, 2015-2021
| 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 |
Children, 2021
| Area covered: | National |
| References: | 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) |
| Definitions: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Boys, 2021
| Area covered: | National |
| References: | 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) |
| Definitions: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Girls, 2021
| Area covered: | National |
| References: | 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) |
| Definitions: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Mental health - anxiety disorders
Adults, 2021
| Age: | 20+ |
| References: | 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). |
| Definitions: | Number living with anxiety per 100,000 population |
Men, 2021
| Age: | 20+ |
| References: | 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). |
| Definitions: | Number living with anxiety per 100,000 population |
Women, 2021
| Age: | 20+ |
| References: | 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). |
| Definitions: | Number living with anxiety per 100,000 population |
Adults, 2015-2021
| 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 |
Adults, 2015-2021
| 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 |
Men, 2015-2021
| 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 |
Women, 2015-2021
| 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 |
Children, 2021
| References: | 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) |
Boys, 2021
| References: | 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) |
Girls, 2021
| References: | 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) |
% Infants exclusively breastfed 0-5 months
0-5 years, 2010-2024
| References: | Uganda Demographic and Health Survey 2016. Kampala, Uganda and Rockville, Maryland, USA: UBOS and ICF. 2018 |
| Notes: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Adults, 2022
| Area covered: | National |
| References: | 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. |
Oesophageal cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Indicence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Indicence per 100,000 |
Men, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Breast cancer
Women, 2022
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Colorectal cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Men, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Pancreatic cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Men, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Gallbladder cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Indicence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Indicence per 100,000 |
Men, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Kidney cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Men, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Cancer of the uterus
Women, 2022
| Age: | 20+ |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Women, 2020-2022
| 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 10.01.2365 |
| Definitions: | Age-standardized indicence rates per 100 000 |
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). |
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). |
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). |
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). |
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). |
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). |
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). |
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). |
Diabetes prevalence
Adults, 2024
| References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
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, % |
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 (%). |
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 (%). |
Ovarian Cancer
Women, 2022
| Age: | 20+ |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Leukemia
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Leukemia
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Liver and intrahepatic bile duct Cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Multiple Myeloma
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Indicence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Indicence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Non Hodgkin Lymphoma
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Thyroid Cancer
Men, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | Incidence per 100,000 |
Women, 2022
| Age: | 20+ |
| Area covered: | National |
| References: | 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] |
| Definitions: | 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? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| 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? | Absent |
| 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? | Absent |
| 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? | Absent |
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
Download contextual factors as a PDF Contextual factors definitions
