Bangladesh
- 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 *3/11This 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
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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
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Comorbidities
Economic impact
Policies
Contextual factors
Obesity prevalence
Adults, 2018
| Survey type: | Measured |
| Age: | 18-69 |
| Sample size: | 7985 |
| Area covered: | National |
| References: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.2020) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2017-2018
| Survey type: | Measured |
| Sample size: | 23861 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
| Notes: | 18328 (ever-married) women, 5533 Men. 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, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16478 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) |
| 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, 2011
| Survey type: | Measured |
| Sample size: | 17416 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, 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, 2007
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 10021 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. |
| Notes: | Other married women 15 - 49 years. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 1995-1996
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 3997 |
| 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 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2018-2019
| Survey type: | Measured |
| Age: | 10-19 |
| Sample size: | 9772 |
| Area covered: | National |
| References: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Notes: | 4,907 boys and 4,865 girls NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)' |
| Cutoffs: | WHO |
Children, 2014
| Survey type: | Self-reported |
| Age: | 13-17 |
| Sample size: | 2989 |
| Area covered: | National |
| References: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2014-Bangladesh-fact-sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Children, 2009
| Survey type: | Measured |
| Age: | 6-15 |
| Sample size: | 10135 |
| Area covered: | National |
| References: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Notes: | Z score BMI cut-offs used |
| Cutoffs: | WHO |
Infants, 2019
| Age: | 0-5 |
| Sample size: | 22011 |
| References: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| 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 |
Girls, 2019
| Age: | 0-5 |
| Sample size: | 22012 |
| References: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| 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 |
Infants, 2018-2019
| Age: | 0-5 |
| References: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 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 |
Infants, 2017-2018
| Age: | 0-5 |
| Sample size: | 8113 |
| References: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| 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 |
Infants, 2015
| Age: | 0-5 |
| References: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| 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 |
Infants, 2014
| Age: | 0-5 |
| Sample size: | 7369 |
| References: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2013
| Age: | 0-5 |
| Sample size: | 4029 |
| References: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2012-2013
| Age: | 0-5 |
| Sample size: | 19640 |
| References: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2011
| Age: | 0-5 |
| Sample size: | 7944 |
| References: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 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 |
Infants, 2011-2012
| Age: | 0-5 |
| References: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| 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 |
Infants, 2007
| Age: | 0-5 |
| Sample size: | 5344 |
| References: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| 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 |
Infants, 2006
| Age: | 0-5 |
| Sample size: | 24302 |
| References: | Surveillance: Nutritional Surveillance Project 2006: data on rural national data (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008 |
| 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 |
Infants, 2005
| Age: | 0-5 |
| Sample size: | 74758 |
| References: | Surveillance: Nutritional Surveillance Project 2005: Rural data (using the WHO Child Growth Standards). Unpublished estimates. Dhakar, Bangladesh: HKI and Institute of Public Health Nutrition, 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 |
Infants, 2004
| Age: | 0-5 |
| Sample size: | 6083 |
| References: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2003
| Age: | 0-5 |
| Sample size: | 86999 |
| References: | Surveillance: Nutritional Surveillance Project 2003: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 2002
| Age: | 0-5 |
| Sample size: | 53315 |
| References: | Surveillance: Nutritional Surveillance Project 2002: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 2001
| Age: | 0-5 |
| Sample size: | 63444 |
| References: | Surveillance: Nutritional Surveillance Project 2001: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1999
| Age: | 0-5 |
| Sample size: | 49374 |
| References: | Surveillance: Nutritional Surveillance Project 1999: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1999-1900
| Age: | 0-5 |
| Sample size: | 5490 |
| References: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, 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 |
Infants, 1998
| Age: | 0-5 |
| Sample size: | 49496 |
| References: | Surveillance: Nutritional Surveillance Project 1998: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1996
| Age: | 0-5 |
| Sample size: | 81067 |
| References: | Surveillance: Nutritional Surveillance Project 1996: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1996-1997
| Age: | 0-5 |
| Sample size: | 4880 |
| References: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 1995
| Age: | 0-5 |
| Sample size: | 87051 |
| References: | Surveillance: Nutritional Surveillance Project 1995: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1994
| Age: | 0-5 |
| Sample size: | 63753 |
| References: | Surveillance: Nutritional Surveillance Project 1994: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1993
| Age: | 0-5 |
| Sample size: | 42826 |
| References: | Surveillance: Nutritional Surveillance Project 1993: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1992
| Age: | 0-5 |
| Sample size: | 36997 |
| References: | Surveillance: Nutritional Surveillance Project 1992: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| 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 |
Infants, 1991
| Age: | 0-5 |
| Sample size: | 32493 |
| References: | Surveillance: Nutritional Surveillance Project 1991: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008 |
| 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 |
Infants, 1989-1990
| Age: | 0-5 |
| Sample size: | 1914 |
| References: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| 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 |
Infants, 1985-1986
| Age: | 0-5 |
| Sample size: | 2675 |
| References: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| 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, 1995-2018
| 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 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
| 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, 1995-2018
| 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 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
| 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 obesity, selected countries, 1976-2023
Men
| References: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993, 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
| 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
| References: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993, 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
| 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
Adults, 2018
| Survey type: | Measured |
| Age: | 18-69 |
| Sample size: | 7985 |
| Area covered: | National |
| References: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2017-2018
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 18328 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| 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. | |
Men, 2017-2018
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 5533 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| 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, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16478 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm |
| 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. | |
Girls, 2014
| Survey type: | Measured |
| Age: | 15-19 |
| Sample size: | 1188 |
| 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. National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Definitions: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
Infants, 2019
| Sample size: | 22011 |
| References: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| 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 |
Infants, 2017-2018
| Sample size: | 8113 |
| References: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| 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 |
Infants, 2014
| Sample size: | 7369 |
| References: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2012-2013
| Sample size: | 19640 |
| References: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2011
| Sample size: | 7944 |
| References: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 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 |
Infants, 2007
| Sample size: | 5344 |
| References: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| 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 |
Infants, 2004
| Sample size: | 6083 |
| References: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 1999-1900
| Sample size: | 5490 |
| References: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, 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 |
Infants, 1996-1997
| Sample size: | 4880 |
| References: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Overweight/obesity by age
Adults, 2018
| Survey type: | Measured |
| Sample size: | 7985 |
| Area covered: | National |
| References: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.200) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2017-2018
| Survey type: | Measured |
| Sample size: | 18328 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT 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. | |
Men, 2017-2018
| Survey type: | Measured |
| Sample size: | 5533 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT 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, 2014
| Survey type: | Measured |
| Sample size: | 16478 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, 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. | |
Children, 2018-2019
| Survey type: | Measured |
| Sample size: | 9772 |
| Area covered: | National |
| References: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Notes: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Overweight/obesity by region
Adults, 2018
| Survey type: | Measured |
| Age: | 18-69 |
| Sample size: | 7985 |
| Area covered: | National |
| References: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2017-2018
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 18328 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT 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. | |
Men, 2017-2018
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 5533 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT 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, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16478 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, 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, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16478 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, 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. | |
Boys, 2018-2019
| Survey type: | Measured |
| Age: | 10-19 |
| Sample size: | 9772 |
| Area covered: | National |
| References: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Notes: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Girls, 2018-2019
| Survey type: | Measured |
| Age: | 10-19 |
| Sample size: | 9772 |
| Area covered: | National |
| References: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Notes: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Boys, 2009
| Survey type: | Measured |
| Age: | 6-15 |
| Sample size: | 10135 |
| Area covered: | National |
| References: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Notes: | Z score cut-offs used |
| Cutoffs: | Other |
Girls, 2009
| Survey type: | Measured |
| Age: | 6-15 |
| Sample size: | 10135 |
| Area covered: | National |
| References: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Notes: | Z score cut-offs used |
| Cutoffs: | Other |
Infants, 2019
| Sample size: | 22011 |
| References: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| 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 |
Infants, 2017-2018
| Sample size: | 8113 |
| References: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| 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 |
Infants, 2014
| Sample size: | 7369 |
| References: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2013
| Sample size: | 4029 |
| References: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2012-2013
| Sample size: | 19640 |
| References: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2011
| Sample size: | 7944 |
| References: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 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 |
Infants, 2007
| Sample size: | 5344 |
| References: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| 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 |
Infants, 2004
| Sample size: | 6083 |
| References: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 1999-1900
| Sample size: | 5490 |
| References: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, 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 |
Infants, 1996-1997
| Sample size: | 4880 |
| References: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Overweight/obesity by socio-economic group
Adults, 2018
| Survey type: | Measured |
| Age: | 18-69 |
| Sample size: | 7985 |
| Area covered: | National |
| References: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2017-2018
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 18328 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| 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. | |
Men, 2017-2018
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 5533 |
| Area covered: | National |
| References: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| 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, 2014
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16478 |
| Area covered: | National |
| References: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm |
| 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, 2018-2019
| Survey type: | Measured |
| Age: | 10-19 |
| Sample size: | 9772 |
| Area covered: | National |
| References: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Notes: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Girls, 2018-2019
| Survey type: | Measured |
| Age: | 10-19 |
| Sample size: | 9772 |
| Area covered: | National |
| References: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Notes: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Infants, 2019
| Sample size: | 22011 |
| References: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| 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 |
Infants, 2017-2018
| Sample size: | 8113 |
| References: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| 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 |
Infants, 2014
| Sample size: | 7369 |
| References: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2013
| Sample size: | 4029 |
| References: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2012-2013
| Sample size: | 19640 |
| References: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 2011
| Sample size: | 7944 |
| References: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 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 |
Infants, 2007
| Sample size: | 5344 |
| References: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| 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 |
Infants, 2004
| Sample size: | 6083 |
| References: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Infants, 1999-1900
| Sample size: | 5490 |
| References: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, 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 |
Infants, 1996-1997
| Sample size: | 4880 |
| References: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definitions: | =>+2SD |
Insufficient physical activity
Adults, 2016
| References: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
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) |
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
Children, 2015-2020
| Area covered: | National |
| References: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Notes: | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
| Definitions: | % exclusively breastfed 0-5 months |
Oesophageal cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Breast cancer
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Colorectal cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Pancreatic cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Gallbladder cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Kidney cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Cancer of the uterus
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| 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 (%). |
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? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | 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? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Guidelines/policy on obesity treatment? | Absent |
| Promotion of breastfeeding? | Absent |
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
