India
Lower-middle income
- Overview
- Obesity prevalence
- Population breakdowns
- Drivers
- Comorbidities
- Economic impact
- Policies
- Contextual factors
Loading data – please wait …
National obesity risk *7/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Childhood obesity risk *4/11This 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
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
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, 2019-2020
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 34648 |
Area covered: | Regional |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), India, 2019-20: Maharashtra. Mumbai: IIPS. Available at http://rchiips.org/nfhs/NFHS-5Report_MH.shtml (last accessed 24.03.21) |
Notes: | Sub National - State of Maharashtra State of Karnataka 2019-20 also available at http://rchiips.org/nfhs/NFHS-5Report_KA.shtml National data should be available later in 2021 NB. Combined adult 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 24.03.21)' |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 744791 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21: |
Notes: | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2022 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 24.07.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 754,697 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2014-2015
Survey type: | Measured |
Age: | 18-69 |
Sample size: | 5032 |
Area covered: | Regional (Punjab) |
References: | Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Prasad R. Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross-sectional STEPS survey. BMC Public Health. 2016;16:816. doi:10.1186/s12889-016-3489-8. |
Notes: | Uses a STEP questionnaire. |
Definitions: | Asian cut-offs also available in paper. |
Cutoffs: | WHO |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2014-2015
Survey type: | Measured |
Age: | 18-69 |
Sample size: | 5032 |
Area covered: | Regional (Punjab) |
References: | Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Prasad R. Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross-sectional STEPS survey. BMC Public Health. 2016;16:816. doi:10.1186/s12889-016-3489-8. |
Notes: | Uses a STEPS questionnaire. |
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, 2005-2006
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 181912 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and Macro International. 2007. National Family Health Survey NFHS-3, 2005–06: India: Volume I. Mumbai, India: IIPS and Macro International. |
Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 1991-1995
Survey type: | Measured |
Age: | 35-64 |
Sample size: | 5537 |
References: | Reddy KS, Prabhakaran D, Shah P, Shah B. Differences in body mass index and waist:hip ratios in North Indian rural and urban populations. Obesity Reviews, 2002;3:197-202 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 1988-1990
Survey type: | Measured |
Age: | 18+ |
Sample size: | 21361 |
References: | Naidu AN, Rao NP. Body mass index: a measure of the nutritional status in Indian populations. European Journal of Clincial Nutrition 1994;48 (suppl 3):S131-S140 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 1974-1979
Survey type: | Measured |
Age: | 18+ |
Sample size: | 39143 |
References: | Naidu AN, Rao NP. Body mass index: a measure of the nutritional status in Indian populations. European Journal of Clincial Nutrition 1994;48 (suppl 3):S131-S140 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2016-2018
Survey type: | Measured |
Age: | 5-9 |
Sample size: | 112316 (0-19 years) |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Definitions: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Children, 2016-2018
Survey type: | Measured |
Age: | 10-19 |
Sample size: | 32120 |
Area covered: | National |
References: | Kumar, P., Srivastava, S., Mishra, P.S. et al. Prevalence of pre-diabetes/type 2 diabetes among adolescents (10–19 years) and its association with different measures of overweight/obesity in India: a gendered perspective. BMC Endocr Disord 21, 146 (2021). https://doi.org/10.1186/s12902-021-00802-w |
Notes: | Sample size. Girls = 15602. Boys = 16518. NB. Combined chulddata 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 19.05.21) |
Definitions: | BMI for age. Overweight or obesity = BMI > + 1 SD |
Cutoffs: | WHO |
Children, 2011-2012
Survey type: | Measured |
Age: | 10-19 |
Sample size: | 1900 |
Area covered: | Regional (Urban) |
References: | Rohilla R, Rajput M, Rohilla J, Malik M, Garg D, Verma M. Prevalence and correlates of overweight/obesity among adolescents in an Urban City of North India. J Family Med Prim Care [serial online] 2014 [cited 2019 Oct 29];3:404-8. Available from: http://www.jfmpc.com/text.asp?2014/3/4/404/148127 |
Cutoffs: | IOTF |
Children, 2007-2008
Survey type: | Measured |
Age: | 2-17 |
Sample size: | 20243 |
Area covered: | National |
References: | V.V Khadilkar, A.V.Khadilkar, T.J.Cole, S.A.Chiplonkar and Deepa Pandit. 2010. Overweight and obesity prevalence and body mass index trends in Indian children. International Journal of Pediatric Obesity, Early Online, 1 - 9. |
Cutoffs: | IOTF |
Children, 2007
Survey type: | Self-reported |
Age: | 13-15 |
Sample size: | 8130 |
Area covered: | Central Board of Secondary Education |
References: | Global School-based Student Health Survey, India (CBSE) 2007. https://www.who.int/ncds/surveillance/gshs/2007_India_CBSE_fact_sheet.pdf?ua=1 (last accessed 24.11.20) |
Cutoffs: | WHO |
Children, 2006
Survey type: | Measured |
Age: | 5-18 |
Sample size: | 21485 |
Area covered: | Subnational |
References: | Data presented in Wang Y, Chen HJ, Shaikh S, Mathur P. Is obesity becoming a public health problem in India? Examine the shift from under- to overnutrition problems over time. Obesity Reviews 2009;10:456-474, data originally derived from Marwaha RK, Tandon N, Singh Y, Aggarwal R, Grewal K, Mani K. A study of growth parameters and prevalence of overweight and obesity in school children from Delhi. Indian Pediatr 2006; 43: 943–952. |
Cutoffs: | IOTF |
Children, 2002-2003
Survey type: | Measured |
Age: | 5-17 |
Sample size: | 2539 |
Area covered: | Regional |
References: | Unpublished work |
Cutoffs: | IOTF |
0-5 years, 2019-2021
Age: | 0-5 |
Sample size: | 197475 |
References: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 2016-2018
Age: | 0-5 |
Sample size: | 35784 |
References: | NNS: Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi |
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: | 224430 |
References: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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: | 47788 |
References: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 1998-1900
Age: | 0-5 |
Sample size: | 25260 |
References: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1996-1997
Age: | 0-5 |
Sample size: | 22959 |
References: | Other: Diet and nutrition situation in rural India. Indian Journal of Medical Research 1998;108:243-253 |
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, 1992-1993
Age: | 0-5 |
Sample size: | 26602 |
References: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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 education
Men, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Men, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 754,697 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
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, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 754,697 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
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, 2008-2010
Survey type: | Measured |
Age: | 20+ |
Sample size: | 13789 |
Area covered: | National |
References: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Notes: | Prevalence of overweight and obesity by education. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2016-2018
Survey type: | Measured |
Age: | 5-9 |
Sample size: | 112316 |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Notes: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | Other |
Children, 2016-2018
Survey type: | Measured |
Age: | 10-19 |
Sample size: | 112316 (0-19 years) |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Notes: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Children, 2013
Survey type: | Measured |
Age: | 14-16 |
Sample size: | 1079 |
Area covered: | Surat city, Gujarat |
References: | Gamit SS, Moitra M, Verma MR. Prevalence of obesity and overweight in school going adolescents of Surat city, Gujarat, India.International Journal of Medical Science and Public Health 2015:Vol 4;42-47 |
Notes: | Prevalence of overweight and obesity by Father's education. Students who had body mass index (BMI) of >85th and <95th percentile of reference population were classified as overweight and BMI of >95th percentile of reference population were classified as obese. |
Cutoffs: | WHO |
0-5 years, 2019-2021
Sample size: | 197475 |
References: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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: | 224430 |
References: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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: | 47788 |
References: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 1998-1900
Sample size: | 25260 |
References: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1992-1993
Sample size: | 26602 |
References: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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, 2019-2021
Survey type: | Measured |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2015-2016
Survey type: | Measured |
Sample size: | 754,697 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. |
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. |
Overweight/obesity by region
Men, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Men, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 925954 |
Area covered: | National |
References: | National Family Health Survey - 5 2019-21. India Fact Sheet. http://rchiips.org/nfhs/NFHS-5_FCTS/COMPENDIUM/NFHS-5%20India%20and%20State%20Factsheet%20Compendium_Phase-II.pdf (Accessed 26.11.2021) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 925954 |
Area covered: | National |
References: | National Family Health Survey - 5 2019-21. India Fact Sheet. http://rchiips.org/nfhs/NFHS-5_FCTS/COMPENDIUM/NFHS-5%20India%20and%20State%20Factsheet%20Compendium_Phase-II.pdf (Accessed 26.11.2021) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Men, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 803,211 |
Area covered: | National |
References: | National Family Health Survey - 4 (2015-16) Available at: http://rchiips.org/nfhs/pdf/NFHS4/India.pdf |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 803,211 |
Area covered: | National |
References: | National Family Health Survey - 4 (2015-16) Available at: http://rchiips.org/nfhs/pdf/NFHS4/India.pdf |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2008-2010
Survey type: | Measured |
Age: | 20+ |
Sample size: | 12634 |
Area covered: | National |
References: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Notes: | Prevalence of overweight and obesity by region. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2016-2018
Survey type: | Measured |
Age: | 10-19 |
Sample size: | 112316 (0-19 years) |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Notes: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Children, 2016-2018
Survey type: | Measured |
Age: | 5-9 |
Sample size: | 112316 (0-19 years) |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Notes: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
0-5 years, 2019-2021
Sample size: | 197475 |
References: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 2016-2018
Sample size: | 35784 |
References: | NNS: Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi |
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: | 224430 |
References: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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: | 47788 |
References: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 1998-1900
Sample size: | 25260 |
References: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1992-1993
Sample size: | 26602 |
References: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
Overweight/obesity by socio-economic group
Men, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2019-2021
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 752983 |
Area covered: | National |
References: | International Institute for Population Sciences (IIPS) and ICF. 2021. National Family Health Survey (NFHS-5), 2019-21 India: Volume I. Mumbai: IIPS. Available at https://dhsprogram.com/pubs/pdf/FR375/FR375.pdf (last accessed 05.09.24) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Men, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 754,697 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
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, 2015-2016
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 754,697 |
Area covered: | National |
References: | International Institute for Population Sciences - IIPS/India and ICF. 2017. National Family Health Survey NFHS-4, 2015-16: India. Mumbai: IIPS. Available at: https://dhsprogram.com/pubs/pdf/FR339/FR339.pdf (Accessed 6 March 2019). |
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, 2008-2010
Survey type: | Measured |
Age: | 20+ |
Sample size: | 12634 |
Area covered: | National |
References: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Notes: | Prevalence of overweight and obesity by income. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Adults, 2008-2010
Survey type: | Measured |
Age: | 20+ |
Sample size: | 12783 |
Area covered: | National |
References: | Pradeepa R, Anjana RM, Joshi SR, et al. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR - INDIAB Study (Phase-I) [ICMR - INDIAB-3]. The Indian Journal of Medical Research. 2015;142(2):139-150. doi:10.4103/0971-5916.164234. |
Notes: | Prevalence of overweight and obesity by occupation. Generalized obesity (GO) was defined as a BMI ≥ 25 kg/m2 for both genders (based on the World Health Organization Asia Pacific Guidelines). |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2016-2018
Survey type: | Measured |
Age: | 5-9 |
Sample size: | 112316 |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Notes: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Children, 2016-2018
Survey type: | Measured |
Age: | 10-19 |
Sample size: | 112316 (0-19 years) |
Area covered: | National |
References: | Ministry of Health and Family Welfare (MoHFW), Government of India, UNICEF and Population Council. 2019. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi. |
Notes: | Overweight BMI-for-age ≥ 1SD ≤ 2SD Obesity BMI-for-age ≥ 2SD |
Cutoffs: | WHO |
Children, 2013
Survey type: | Measured |
Age: | 14-16 |
Sample size: | 1079 |
Area covered: | Surat city, Gujarat |
References: | Goyal RK1, Shah VN, Saboo BD, Phatak SR, Shah NN, Gohel MC, Raval PB, and Patel SS. Prevalence of overweight and obesity in Indian adolescent school going children: its relationship with socioeconomic status and associated lifestyle factors. J Assoc Physicians India. 2010 Mar;58:151-8. |
Notes: | Prevalence of overweight and obesity by Father's occupation. Students who had body mass index (BMI) of >85th and <95th percentile of reference population were classified as overweight and BMI of >95th percentile of reference population were classified as obese. |
Cutoffs: | WHO |
0-5 years, 2019-2021
Sample size: | 197475 |
References: | DHS: National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 2016-2018
Sample size: | 35784 |
References: | NNS: Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi |
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: | 224430 |
References: | DHS: National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. 2017 |
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: | 47788 |
References: | DHS: National family health survey (NFHS-3), 2005-06: India: Demographic and Health Surveys. Mumbai, India: IIPS, 2007 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 1998-1900
Sample size: | 25260 |
References: | DHS: National family health survey (NFHS-2) 1998-99. Demographic and Health Surveys. Mumbai, India, 2000 |
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, 1992-1993
Sample size: | 26602 |
References: | DHS: National family health survey, India 1992-93. Demographic and Health Surveys. Bombay, India, 1995 |
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) |
Estimated per capita fruit intake
Adults, 2017
Survey type: | Measured |
Age: | 25+ |
References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitions: | Estimated per-capita fruit intake (g/day) |
Estimated per-capita processed meat intake
Adults, 2017
Survey type: | Measured |
Age: | 25+ |
References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitions: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adults, 2017
Survey type: | Measured |
Age: | 25+ |
References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitions: | Estimated per-capita whole grains intake (g/day) |
Mental health - depression disorders
Adults, 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: | National Family Health Survey (NFHS-5), 2019-21: India. Mumbai: IIPS |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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 10.01.2179 |
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? | Absent |
Back-of-pack nutrition declaration? | Present |
Color coding? | Present-(voluntary) |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Present |
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)? | Absent |
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? | Absent |
Promotion of breastfeeding? | Present |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | 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 March 20, 2024
Download contextual factors as a PDF Contextual factors definitions