Pakistan
Lower-middle income
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Economic impact
- Policies
- Contextual factors
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National obesity risk *6.5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Childhood obesity risk *5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
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
Oesophageal cancer
Breast cancer
Colorectal cancer
Pancreatic cancer
Gallbladder cancer
Kidney cancer
Cancer of the uterus
Raised blood pressure
Raised cholesterol
Raised fasting blood glucose
Diabetes prevalence
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
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Economic impact
Policies
Contextual factors
Obesity prevalence
Women, 2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 123092 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | Nutritional status of non-pregnant women of reproductive age |
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: | 3722 |
Area covered: | National |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.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. |
Adults, 2013-2014
Survey type: | Measured |
Age: | 18-69 |
Sample size: | 7710 |
Area covered: | Regional |
References: | STEPS Pakistan 2013/14 Fact Sheet (full report would not download) https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_FactSheet.pdf (last accessed 05.11.19) Report https://www.who.int/ncds/surveillance/steps/2014_Pakistan_STEPS_Report.pdf (last accessed 19.10.20) |
Notes: | Punjab & Siindh Province of Pakistan STEPS |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2012-2013
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 4170 |
Area covered: | National |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan 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. |
Adults, 1990-1994
Survey type: | Measured |
Age: | 15+ |
Sample size: | 8972 |
Area covered: | National |
References: | Jafar TH, Chaturvedi N and Pappas G. (2006). Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. CMAJ, 175(9):1071 - 1077. |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2021
Survey type: | Measured |
Age: | 9-17 |
Sample size: | 3551 |
Area covered: | National |
References: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
Cutoffs: | CDC US 2000 BMI charts |
Children, 2018
Survey type: | Measured |
Age: | 10-19 |
Sample size: | 103618 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available 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, 2009-2010
Survey type: | Measured |
Age: | 5-12 |
Sample size: | 1860 |
Area covered: | Regional |
References: | Mushtaq MU, Gull S, Mushtaq K, Agdullah HM, Khurshid U, Shahid U, Shad MA, Akram J. Height, weight and BMI percentiles and nutritional status relative to the international growth references among Pakistani school-aged children. BMC Pediatrics 2012, 12:31 doi:10.1186/1471-2431-12-31 |
Notes: | Region: Lahore, IOTF Cut Off (it assumed that the paper oveweight includes obesity) |
Cutoffs: | IOTF |
Children, 2008-2009
Survey type: | Self-reported |
Age: | 13-15 |
Sample size: | 5192 |
Area covered: | National |
References: | Global School based Student Health Survey Pakistan available at https://www.who.int/ncds/surveillance/gshs/Pakistan_2009_FS.pdf?ua=1(last accessed 14.12.20) |
Cutoffs: | WHO |
0-5 years, 2017-2018
Age: | 0-5 |
Sample size: | 3547 |
References: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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 |
0-5 years, 2012-2013
Age: | 0-5 |
Sample size: | 3617 |
References: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS 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 |
0-5 years, 2011
Age: | 0-5 |
Sample size: | 23046874 |
References: | NNS: National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 2012 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 2001
Age: | 0-5 |
Sample size: | 9584 |
References: | NNS: National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
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, 1990-1994
Age: | 0-5 |
Sample size: | 3240 |
References: | Other: National health survey of Pakistan (NHSP, 1990-94): Health profile of the people of Pakistan. Islamabad, Pakistan, 1998 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
Girls, 1990-1991
Age: | 0-5 |
Sample size: | 4367 |
References: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
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, 1990-1991
Age: | 0-5 |
Sample size: | 4366 |
References: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
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, 1985-1987
Age: | 0-5 |
Sample size: | 6707 |
References: | NNS: National nutrition survey 1985-87 report. National Institute of Health, Nutrition Division. Islamabad, Pakistan, 1988 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
% Adults living with overweight or obesity in Pakistan 2012-2018
Survey type: | Measured |
References: | 2012: National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. 2017: National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf 2018: Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
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. |
Trend Adult Obesity 2012 2018
Survey type: | Measured |
References: | 2012: National Institute of Population Studies - NIPS/Pakistan and ICF International. 2013. Pakistan Demographic and Health Survey 2012-13. Islamabad, Pakistan: NIPS/Pakistan and ICF International. 2017: National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://www.dhsprogram.com/pubs/pdf/FR354/FR354.pdf 2018: Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
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
Women, 2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 123092 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | Non-pregnant women |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2017-2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 4690 |
Area covered: | National |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://dhsprogram.com/pubs/pdf/FR354/FR354.pdf (last accessed 06.06.2022) |
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, 2011-2012
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 4,767 |
Area covered: | National |
References: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2021
Survey type: | Measured |
Age: | 9-17 |
Sample size: | 3551 |
Area covered: | National |
References: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
Cutoffs: | CDC US 2000 BMI charts |
Boys, 2018
Survey type: | Measured |
Age: | 10-19 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available |
Cutoffs: | WHO |
Girls, 2018
Survey type: | Measured |
Age: | 10-19 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available |
Cutoffs: | WHO |
0-5 years, 2017-2018
Sample size: | 3547 |
References: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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 |
0-5 years, 2012-2013
Sample size: | 3617 |
References: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS 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 |
0-5 years, 1990-1991
Sample size: | 4366 |
References: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
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
Women, 2018
Survey type: | Measured |
Sample size: | 123092 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | Nutritional status of non-pregnant women of reproductive age |
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: | 4690 |
Area covered: | National |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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, 2011-2012
Survey type: | Measured |
Sample size: | 4,767 |
Area covered: | National |
References: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Men, 2010
Survey type: | Measured |
Sample size: | 3916 |
Area covered: | National |
References: | Prevalence and Sociodemographic Factors of Overweight and Obesity among Pakistani Adults. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118000/ (last accessed 06.06.2022) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2010
Survey type: | Measured |
Sample size: | 6147 |
Area covered: | National |
References: | Prevalence and Sociodemographic Factors of Overweight and Obesity among Pakistani Adults. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118000/ (last accessed 06.06.2022) |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2021
Survey type: | Measured |
Sample size: | 3551 |
Area covered: | National |
References: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
Cutoffs: | CDC US 2000 BMI charts |
Overweight/obesity by region
Women, 2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 123092 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | Nutritional status of non-pregnant women of reproductive age |
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: | 175 |
Area covered: | Regional - Balochistan |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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, 2017-2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 898 |
Area covered: | Regional - Sindh |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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, 2017-2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 1982 |
Area covered: | Regional - Punjab |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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, 2017-2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 576 |
Area covered: | Regional - Khyber Pakhtunkhwa |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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, 2011-2012
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 4,767 |
References: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Children, 2021
Survey type: | Measured |
Age: | 9-17 |
Sample size: | 3551 |
Area covered: | National |
References: | The Current Prevalence of Underweight, Overweight, and Obesity Associated with Demographic Factors among Pakistan School-Aged Children and Adolescents — An Empirical Cross-Sectional Study. Available at: https://www.mdpi.com/1660-4601/19/18/11619 |
Cutoffs: | CDC US 2000 BMI charts |
Boys, 2018
Survey type: | Measured |
Age: | 10-19 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available |
Cutoffs: | WHO |
Girls, 2018
Survey type: | Measured |
Age: | 10-19 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available |
Cutoffs: | WHO |
Children, 2009
Survey type: | Measured |
Age: | 5-12 |
Sample size: | 1860 |
Area covered: | Lahore, Pakistan |
References: | Mushtaq MU, Gull S, Abdullah HM et al. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health, 2011: Volume 11, Number 1, Page 1 |
Notes: | Overweight (> + 1SD) and obesity (> + 2SD) were defined using the World Health Organization child growth reference 2007. |
Cutoffs: | WHO |
0-5 years, 2017-2018
Sample size: | 3547 |
References: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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 |
0-5 years, 2012-2013
Sample size: | 3617 |
References: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS 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 |
0-5 years, 2011
Sample size: | 23046874 |
References: | NNS: National nutrition survey Pakistan, 2011. Islamabad, Pakistan: Aga Khan University, PMRC, Government of Pakistan and UNICEF, 2012 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
0-5 years, 2001
Sample size: | 9584 |
References: | NNS: National nutrition survey 2001-2002. Islamabad, Pakistan: Planning Commission, Government of Pakistan and UNICEF, 2004 |
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, 1990-1991
Sample size: | 4366 |
References: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
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, 1990-1994
Sample size: | 3240 |
References: | Other: National health survey of Pakistan (NHSP, 1990-94): Health profile of the people of Pakistan. Islamabad, Pakistan, 1998 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
Overweight/obesity by socio-economic group
Women, 2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 123092 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | Non-pregnant women |
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². |
Women, 2017-2018
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 4690 |
Area covered: | National |
References: | National Institute of Population Studies - NIPS/Pakistan and ICF. 2019. Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS and ICF. https://dhsprogram.com/pubs/pdf/FR354/FR354.pdf (last accessed 06.06.2022) |
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, 2011-2012
Survey type: | Measured |
Age: | 15-49 |
Sample size: | 4,767 |
Area covered: | National |
References: | Janjua et al 2015. Association of Household and Community Socioeconomic Position and Urbanicity with Underweight and Overweight among Women in Pakistan. PLoS ONE 10(4). doi:10.1371/journal.pone.0122314 |
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
Survey type: | Measured |
Age: | 10-19 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available |
Cutoffs: | WHO |
Girls, 2018
Survey type: | Measured |
Age: | 10-19 |
Area covered: | National |
References: | Pakistan National Nutrition Survey 2018 https://www.unicef.org/pakistan/media/2826/file/National%20Nutrition%20S (Accessed 03.11.20) |
Notes: | BMI-for-age cut-offs also available |
Cutoffs: | WHO |
Children, 2009
Survey type: | Measured |
Age: | 5-12 |
Sample size: | 1860 |
Area covered: | Subnational - Lahore |
References: | Mushtaq MU, Gull S, Abdullah HM, Shahid U, Shad MA, Akram J. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health. 2011;11:724. doi:10.1186/1471-2458-11-724. |
Notes: | Overweight (> + 1SD) and obesity (> + 2SD) were defined using the World Health Organization child growth reference 2007. |
Cutoffs: | WHO |
0-5 years, 2017-2018
Sample size: | 3547 |
References: | DHS: Pakistan Demographic and Health Survey 2017-18. Islamabad, Pakistan, and Rockville, Maryland, USA: NIPS 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 |
0-5 years, 2012-2013
Sample size: | 3617 |
References: | DHS: Pakistan demographic and health survey 2012-13. Demographic and Health Surveys. Islamabad, Pakistan, and Calverton, Maryland, USA: NIPS 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 |
0-5 years, 1990-1991
Sample size: | 4366 |
References: | DHS: Pakistan demographic and health survey 1990/91. Demographic and Health Surveys. National Institute of Population Studies. Islamabad, Pakistan, 1992 |
Notes: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definitions: | =>+2SD |
Insufficient physical activity
Adults, 2022
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definitions: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Men, 2022
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definitions: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Women, 2022
Survey type: | Self-reported |
Age: | 18+ |
Area covered: | National |
References: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Definitions: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Adults, 2016
References: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Men, 2016
References: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Women, 2016
References: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Children, 2016
Survey type: | Self-reported |
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2016
Survey type: | Self-reported |
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2016
Survey type: | Self-reported |
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Children, 2010
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2010
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2010
Age: | 11-17 |
References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Average daily frequency of carbonated soft drink consumption
Children, 2009-2015
Survey type: | Measured |
Age: | 12-17 |
References: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
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, 2009-2015
Age: | 12-17 |
References: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
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, 2010-2023
References: | Pakistan 2018 National Nutrition Survey |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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 10.01.2273 |
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? | 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? | Present |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Present |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Absent |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
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 August 8, 2023
Download contextual factors as a PDF Contextual factors definitions