Thailand
Upper-middle income
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Economic impact
- Policies
- Contextual factors
Loading data – please wait …
National obesity risk *8/10This 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 *7/11This 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).
Obesity prevalence
Trends over time
Download report card
The report card collates all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.Population breakdowns
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
Download report card
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
Download report card
Economic impact
Policies
Contextual factors
Obesity prevalence
Adults, 2018
| Survey type: | Measured |
| Age: | 15+ |
| Sample size: | 627 |
| Area covered: | Regional |
| References: | Sakboonyarat, B., Pornpongsawad, C., Sangkool, T. et al. Trends, prevalence and associated factors of obesity among adults in a rural community in Thailand: serial cross-sectional surveys, 2012 and 2018. BMC Public Health 20, 850 (2020). https://doi.org/10.1186/s12889-020-09004-w |
| Notes: | NB Small regional survey NOT NATIONAL |
| 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: | 20+ |
| Sample size: | 15663 |
| Area covered: | National |
| References: | Yan LD, Hanvoravongchai P, Aekplakorn W, Chariyalertsak S, Kessomboon P, Assanangkornchai S, et al. (2020) Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand. PLoS ONE 15(1):e0226286. https://doi.org/10.1371/journal.pone.0226286 |
| Notes: | Adults aged 20 and older with a fasting plasma glucose were included. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19181 |
| Area covered: | National |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Cutoffs: | WHO Asia |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19181 |
| Area covered: | National |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Definitions: | WHO Asian cutoffs shown for BMI between 25-29.9kg/m² and greater than or equal to 30kg/m² to allow comparison with non-Asian cutoffs. |
| Cutoffs: | WHO Asia |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2004
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 39290 |
| Area covered: | National |
| References: | Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2003-2005
| Survey type: | Measured |
| Age: | 19+ |
| Sample size: | 7279 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2000
| Survey type: | Measured |
| Age: | 35+ |
| Sample size: | 5350 |
| References: | http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf last accessed June 14th 2011 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1997
| Survey type: | Measured |
| Age: | 20-59 |
| Sample size: | 3220 |
| References: | Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1985
| Survey type: | Measured |
| Age: | 35-54 |
| Sample size: | 3495 |
| Area covered: | Regional |
| References: | Tanphaichitr V, Kulapongse S, Pakpeankitvatana R, et al. Prevalence of obesity and its associated risks in urban Thais. In: Oomura Y, Tarui S, Inoue S, Shimazu T, eds. Progress in obesity research, 1990 London: Libbey, 1991:649-53 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2021
| Survey type: | Self-reported |
| Age: | 13-17 |
| Sample size: | 5661 |
| Area covered: | National |
| References: | 2021 GSHS Fact Sheet Thailand. Available at: https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/thailand/2021_thailand_gshs_fact_sheetada1f3cd-2ee4-4258-a01f-b40873aaf988.pdf?sfvrsn=be5c3553_1&download=true |
| Cutoffs: | BMI-for-age-sex |
Children, 2016
| Survey type: | Measured |
| Age: | 6-18 |
| Sample size: | 1749 |
| Area covered: | Regional |
| References: | Nonboonyawat T, Pusanasuwannasri W, Chanrat N, Wongthanavimok N, Tubngern D, Panutrakul P, Mungthin M, Nivesvivat T, Hatthachote P, Rangsin R, Piyaraj P. (2019) 'Prevalence and associates of obesity and overweight among school-age children in a rural community of Thailand.' Korean J Pediatr. doi: 10.3345/kjp.2018.06499. |
| Notes: | WHO cut-offs used. |
| Cutoffs: | WHO |
Children, 2015
| Survey type: | Self-reported |
| Age: | 13-17 |
| Sample size: | 5894 |
| Area covered: | National |
| References: | Global School-based Student Health Survey Thailand 2015 Fact Sheet https://www.who.int/ncds/surveillance/gshs/2015-Thailand-GSHS-Fact-Sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Children, 2008
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 2767 |
| Area covered: | National |
| References: | Global School-based Student Health Survey Thailand 2008 Fact Sheethttps://www.who.int/ncds/surveillance/gshs/2008_Thailand_fact_sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Children, 2003-2005
| Survey type: | Measured |
| Age: | 3-18 |
| Sample size: | 9287 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Children, 1997
| Survey type: | Measured |
| Age: | 5-15 |
| Sample size: | 1290 |
| Area covered: | Regional |
| References: | Mo-Suwan L, Tongkumchum P, Puetpaiboon A. Determinants of overweight tracking from childhood to adolescence: a 5 y follow-up study of Hat Yai schoolchildren. International Journal of Obesity (2000) 24, 164-1647 |
| Notes: | Urban 85th Centile NHANES |
| Cutoffs: | Other |
Children, 1992
| Survey type: | Measured |
| Age: | 5-16 |
| Sample size: | 2252 |
| Area covered: | Regional |
| References: | Mo-suwan L, Tongkumchum P and Puetpaiboon A. Determinants of overweight tracking from childhood to adolescence: a 5 year follow up study of Hat Yai schoolchildren. IJO 2000;24:1642-1647 |
| Notes: | Hat Yai municipality, southern Thailand Child Cut-Off point: 85th Centile NHANES (see paper for further details) |
| Cutoffs: | Other |
0-5 years, 2019
| Age: | 0-5 |
| Sample size: | 12138 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| 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, 2015-2016
| Age: | 0-5 |
| Sample size: | 10942 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2012-2013
| Age: | 0-5 |
| Sample size: | 8874 |
| References: | MICS: Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 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, 2005-2006
| Age: | 0-5 |
| Sample size: | 4627558 |
| References: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1995
| Age: | 0-5 |
| Sample size: | 4178 |
| References: | NNS: The fourth national nutrition survey of Thailand 1995. Department of Health. Bangkok, Thailand 1998 |
| 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, 1987
| Age: | 0-5 |
| Sample size: | 1886 |
| References: | DHS: Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| 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 Thailand 1997-2009
Men
| Survey type: | Measured |
| References: | 1997: Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2014: Yan LD, Hanvoravongchai P, Aekplakorn W, Chariyalertsak S, Kessomboon P, Assanangkornchai S, et al. (2020) Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand. PLoS ONE 15(1):e0226286. https://doi.org/10.1371/journal.pone.0226286 |
| 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. | |
Women
| Survey type: | Measured |
| References: | 1997: Aekplakorn W, Chaiyapong Y, Neal B, Chariyalertsak W, Kunanusont C, Phoolcharoen W, Suriyawongpaisal P. Prevalence and Determinants of Overweight and Obesity in Thai Adults: Results of the Second National Health Examination Survey. J Med Asssoc Thai 2004;87(6):685-93 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2014: Yan LD, Hanvoravongchai P, Aekplakorn W, Chariyalertsak S, Kessomboon P, Assanangkornchai S, et al. (2020) Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand. PLoS ONE 15(1):e0226286. https://doi.org/10.1371/journal.pone.0226286 |
| 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 Thailand 2003-2009
Men
| Survey type: | Measured |
| References: | 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2014: Yan LD, Hanvoravongchai P, Aekplakorn W, Chariyalertsak S, Kessomboon P, Assanangkornchai S, et al. (2020) Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand. PLoS ONE 15(1):e0226286. https://doi.org/10.1371/journal.pone.0226286 |
| 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. | |
Women
| Survey type: | Measured |
| References: | 2003: Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 2004: Aekplakorn W and Mo-Suwan L. (2009). National prevalence of obesity. Prevalence of obesity in Thailand. Obesity Reviews, 10: 589 - 592. 2009: Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 2014: Yan LD, Hanvoravongchai P, Aekplakorn W, Chariyalertsak S, Kessomboon P, Assanangkornchai S, et al. (2020) Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand. PLoS ONE 15(1):e0226286. https://doi.org/10.1371/journal.pone.0226286 |
| 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, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19,181 |
| Area covered: | National - URBAN |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Urban Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19,181 |
| Area covered: | National - URBAN |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Urban Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19,181 |
| Area covered: | National - RURAL |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Rural Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19,181 |
| Area covered: | National - RURAL |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | Prevalence of Overweight & Obesity by Education in Rural Areas In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| 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, 2019
| Sample size: | 12138 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| 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, 2015-2016
| Sample size: | 10942 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2012-2013
| Sample size: | 8874 |
| References: | MICS: Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 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, 2005-2006
| Sample size: | 4627558 |
| References: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1987
| Sample size: | 1886 |
| References: | DHS: Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| 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, 2018
| Survey type: | Measured |
| Sample size: | 627 |
| Area covered: | Na-Ngam rural community |
| References: | Trends, prevalence and associated factors of obesity among adults in a rural community in Thailand: serial cross-sectional surveys, 2012 and 2018. Available at: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-09004-w#:~:text=In%20Thailand%2C%20the%20Thai%20National%20Health%20Examination%20Surveys,among%20males%20and%20females%2C%20respectively%20%5B%203%20%5D. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2003-2005
| Survey type: | Measured |
| Sample size: | 7279 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2021
| Survey type: | Measured |
| Sample size: | 5661 |
| Area covered: | National |
| References: | 2021 GSHS Fact Sheet Thailand. Available at: https://cdn.who.int/media/docs/default-source/ncds/ncd-surveillance/data-reporting/thailand/2021_thailand_gshs_fact_sheetada1f3cd-2ee4-4258-a01f-b40873aaf988.pdf?sfvrsn=be5c3553_1&download=true |
| Cutoffs: | BMI-for-age-sex |
Children, 2003-2005
| Survey type: | Measured |
| Sample size: | 9287 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Overweight/obesity by region
Men, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19,181 |
| Area covered: | National |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2009
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 19,181 |
| Area covered: | National |
| References: | Wichai Aekplakorn, Rungkarn Inthawong, Pattapong Kessomboon, et al., “Prevalence and Trends of Obesity and Association with Socioeconomic Status in Thai Adults: National Health Examination Surveys, 1991–2009,” Journal of Obesity, vol. 2014, Article ID 410259, 8 pages, 2014. doi:10.1155/2014/410259 |
| Notes: | In this graph, overweight refers to BMI 25–<30, and obesity as BMI ≥30 kg/m2 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2003-2005
| Survey type: | Measured |
| Age: | 19+ |
| Sample size: | 7279 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2003-2005
| Survey type: | Measured |
| Age: | 19+ |
| Sample size: | 7279 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2003-2005
| Survey type: | Measured |
| Age: | 19+ |
| Sample size: | 7279 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2003-2005
| Survey type: | Measured |
| Age: | 19+ |
| Sample size: | 7279 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Boys, 2003-2005
| Survey type: | Measured |
| Age: | 3-18 |
| Sample size: | 9287 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Girls, 2003-2005
| Survey type: | Measured |
| Age: | 3-18 |
| Sample size: | 9287 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Boys, 2003-2005
| Survey type: | Measured |
| Age: | 3-18 |
| Sample size: | 9287 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
Girls, 2003-2005
| Survey type: | Measured |
| Age: | 3-18 |
| Sample size: | 9287 |
| Area covered: | National |
| References: | Jitnarin N, Kosulwat V, Rojroongwasinkul N et al. Prevalence of overweight and obesity in Thai population: Results of the National Thai Food Consumption Survey. 2011;16:e242-e249 |
| Cutoffs: | IOTF |
0-5 years, 2019
| Sample size: | 12138 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| 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, 2015-2016
| Sample size: | 10942 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2005-2006
| Sample size: | 4627558 |
| References: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 1987
| Sample size: | 1886 |
| References: | DHS: Thailand demographic and health survey 1987. Demographic and Health Surveys. Institute of Population Studies, Chulalongkorn University. Bangkok, Thailand, 1988 |
| 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
0-5 years, 2019
| Sample size: | 12138 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2019, Survey Findings Report. Bangkok, Thailand: National Statistical Office of Thailand. |
| 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, 2015-2016
| Sample size: | 10942 |
| References: | MICS: Thailand Multiple Indicator Cluster Survey 2015- 2016, Final Report, NSO and UNICEF, Bangkok, 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
0-5 years, 2012-2013
| Sample size: | 8874 |
| References: | MICS: Thailand multiple indicator cluster survey 2012. MICS. Bangkok, Thailand: NSO, UNICEF, MOPH, NHSO, THPF, IHPP, 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, 2005-2006
| Sample size: | 4627558 |
| References: | MICS: Thailand multiple indicator cluster survey December 2005 - February 2006, Final report. Bangkok, Thailand: National Statistical Office, 2006 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
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) |
Average daily frequency of carbonated soft drink consumption
Children, 2014-2015
| 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 |
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) |
Prevalence of less than daily fruit consumption
Children, 2008-2015
| 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) |
Prevalence of less than daily vegetable consumption
Children, 2008-2015
| 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) |
Average weekly frequency of fast food consumption
Children, 2014-2015
| 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 |
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, 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 |
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 |
% Infants exclusively breastfed 0-5 months
0-5 years, 2015-2022
| References: | Thailand Multiple Indicator Cluster Survey 2022, Survey Findings Report |
| 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. |
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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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 10.01.2347 |
| 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, 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. | |
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? | Present |
| Front-of-package labelling? | Present-(voluntary) |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Present |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Present |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| Ban on trans-fats or phos in place (all settings)? | Present |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Mandatory restriction on broadcast media? | Present |
| Mandatory restriction on non-broadcast media? | Present |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present-(voluntary) |
| 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? | Present |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Present |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Present |
| Guidelines/policy on obesity treatment? | 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? | Present |
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
