Argentina

Overview
Obesity prevalence
Trends over time
Population breakdowns
Drivers
Comorbidities
Economic impact
Policies
Contextual factors

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National obesity risk *7.5/10 Childhood obesity risk *8.5/11

* Based on estimated data. For more information see Publications

Report cards

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Report card (adult data)

Report card (child data)

Report card (under-5s data)

Population breakdowns

By education

By age

By socio-economic group

Double Burden

Drivers

Insufficient activity

Soft drink consumption

Fruit consumption

Vegetable consumption

Fast food consumption

Processed meat consumption

Grains consumption

Depression

Anxiety

Roots of obesity »

Breastfeeding

Unaffordable diet

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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

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Policies

National Obesity Strategy

Nutritional or Health Strategy

Marketing

Physical Activity

Tax/Subsidies on Food or Beverages

Transnational Obesity Strategies

Labelling

NCD Strategy

Multidisciplinary Intervention

Management or treatment guidelines

School Food Regulations

Breastfeeding

Obesity Target

Multisectoral national mechanism for obesity

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Contextual factors

Obesity prevalence

Adults, 2018

Survey type:	Self-reported
Age:	18+
Sample size:	5000
Area covered:	National
References:	4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Notes:	Trend also available by Region
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2018

Survey type:	Measured
Age:	18+
Sample size:	16577
Area covered:	National
References:	4° Encuesta Nacional de Factores de Riesgo. Resultados definitivos. Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Notes:	Self report data also available in report.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2018-2019

Survey type:	Measured
Age:	18+
Sample size:	7367
Area covered:	Regional (Urban)
References:	2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21)
Notes:	Representative of 6 urban regions in Argentina.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2013

Survey type:	Self-reported
Age:	18+
Sample size:	32365
Area covered:	National
References:	Third National Survey of Risk Factors for Noncommunicable Diseases. Argentina 2013. https://www.indec.gob.ar/ftp/cuadros/publicaciones/publicacion_enfr_2013.rar (Accessed 24.08.23)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2012-2013

Survey type:	Measured
Age:	18-70
Sample size:	1194
Area covered:	Regional
References:	Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580.
Notes:	Subnational (Rosario)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2009

Survey type:	Self-reported
Age:	18+
References:	2nd Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2005

Survey type:	Self-reported
Age:	18+
References:	1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2003

Survey type:	Measured
Age:	18-65
Sample size:	1100
Area covered:	Sub National
References:	Virgolini M, & Ferrante D. Validación de la Herramienta de la OPS para vigilancia de ENT en Argentina 2003. Ministerio de Salud y Ambiente de la Nación. WHO Report. (unpublished work).
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 1997

Survey type:	Measured
Age:	20-79
Sample size:	Not specified
References:	Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196. Personal Communication by Prof. Rafael Figueredo Grijalba
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Children, 2018-2019

Survey type:	Measured
Age:	5-17
Sample size:	~8000
Area covered:	Regional (Urban)
References:	2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21)
Notes:	Representative of 6 urban regions in Argentina.
Cutoffs:	WHO

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Children, 2018

Survey type:	Self-reported
Age:	13-15
Sample size:	56981
Area covered:	National
References:	Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21)
Cutoffs:	WHO

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Children, 2012

Survey type:	Self-reported
Age:	13-15
Sample size:	28368
Area covered:	National
References:	Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20)
Notes:	WHO cutoffs.
Cutoffs:	WHO

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Children, 2007

Survey type:	Self-reported
Age:	13-15
Sample size:	1980
Area covered:	National
References:	Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1
Cutoffs:	WHO

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Children, 2005

Survey type:	Measured
Age:	10
Sample size:	1693
Area covered:	Urban
References:	Kovalskys I, Rausch Herscovici C, De Gregorio MJ. Nutritional status of school-aged children of Buenos Aires, Argentina: data using three references.J Public Health (Oxf). 2011 Sep;33(3):403-11. doi: 10.1093/pubmed/fdq079. Epub 2010 Oct 12.
Notes:	IOTF International Cut Off Points Children Aged 11 years also available in the paper
Cutoffs:	IOTF

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0-5 years, 2018-2019

Age:	0-5
Sample size:	2912822
References:	Other: Segunda Encuesta Nacional de Nutricion y Salud, Argentina 2018-2019
Notes:	UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:	=>+2SD

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0-5 years, 2004-2005

Age:	0-5
Sample size:	2528042
References:	Other: Encuesta Nacional de Nutricion y Salud, Argentina 2004-2005
Notes:	UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:	=>+2SD

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0-5 years, 1995-1996

Age:	0-5
Sample size:	91943
References:	Other: Encuesta antropometrica en menores de 6 años bajo programa materno infantil. In: Estudios antropometricos en la poblacion infanto-juvenil. Rep. Argentina 1993-1996. Ministerio de Salud y Accion Social. Buenos Aires, 1999
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

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0-5 years, 1994

Age:	0-5
Sample size:	5296
References:	Other: The organisation of a national survey for evaluating child psychomotor development in Argentina. Paediatric and Perinatal Epidemiology 1997;11:359-373
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

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% Adults living with obesity in Argentina 2005-2018

Men and women

Survey type:	Self-reported
References:	1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey
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.

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% Children living with overweight or obesity 2007-2018

Girls

Survey type:	Self-reported
References:	2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21)
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.

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Boys

Survey type:	Self-reported
References:	2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21)
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.

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Boys and girls

Survey type:	Self-reported
References:	2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21)
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.

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% Adults living with obesity in selected countries in the Americas Region 1960-2018, selected countries

Men

References:

1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47
1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112
1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185
1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196
1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International.
1999: Centres for Disease Control and Prevention. http://www.cdc.gov/
2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11
2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434
2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812.
2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555.
2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf
2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006).
2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241.
2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010.
2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39
2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia.
2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES
2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International.
2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024.
2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International.
2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017
2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF.
2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403
2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23)
2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23)
2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023)
2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022

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.

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Women

References:

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.

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Overweight/obesity by education

Adults, 2018

Survey type:	Measured
Age:	18+
Sample size:	16577
Area covered:	National
References:	4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Men, 2012-2013

Survey type:	Measured
Sample size:	1194
Area covered:	Subnational (Rosario)
References:	Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Women, 2012-2013

Survey type:	Measured
Sample size:	1194
Area covered:	Subnational (Rosario)
References:	Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2005

Survey type:	Self-reported
Age:	18+
Sample size:	41392
Area covered:	National
References:	"De Maio FG, Linetzky B, Virgolini M. An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina. Popul Health Metr. 2009 Jun 8;7:8. doi: 10.1186/1478-7954-7-8."
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Overweight/obesity by age

Adults, 2018

Survey type:	Measured
Sample size:	16577
Area covered:	National
References:	4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Overweight/obesity by socio-economic group

Adults, 2018

Survey type:	Measured
Age:	18+
Sample size:	16577
Area covered:	National
References:	4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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Adults, 2005-2012

Survey type:	Measured
Age:	18+
Sample size:	4328
Area covered:	Córdoba (the capital city of the state of CÃ³rdoba in the centre of Argentina)
References:	Aballay LR, Osella AR, De La Quintana AG, and Diaz MP. Nutritional profile and obesity: results from a random sample population based study in Córdoba, Argentina. Eur J Nutr DOI 10.1007/s00394-015-0887-0
Notes:	Socio-economic status (SES) was built as a composite indicator following the Argentine Marketing Association’s guidelines, which include four domains: educational level, job, housing, and amenities.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

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0-5 years, 2018-2019

Sample size:	2912822
References:	Other: Segunda Encuesta Nacional de Nutricion y Salud, Argentina 2018-2019
Notes:	UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:	=>+2SD

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Double burden of underweight & overweight

Adults, 2022

Survey type:	Measured
Age:	20+
References:	NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2.
Notes:	Age Standardised estimates
Definitions:	Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity)

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Children, 2022

Survey type:	Measured
Age:	5-19
References:	NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2.
Notes:	Age standardised estimates
Definitions:	Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity)
Cutoffs:	BMI < -2SD and BMI > 2SD

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0-5 years, 2018-2019

Survey type:	Measured
Age:	0-5
References:	UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25)
Notes:	Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population

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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.

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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.

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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.

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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

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Men, 2016

References:

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Women, 2016

References:

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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)

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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)

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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)

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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)

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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)

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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)

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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

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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)

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Prevalence of less than daily fruit consumption

Children, 2009-2015

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)

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Prevalence of less than daily vegetable 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
Definitions:	Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption)

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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

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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)

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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)

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Mental health - depression disorders

Adults, 2021

Age:	20+
Area covered:	National
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:	Number living with depression per 100,000 population (adults 20+ years)

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Men, 2021

Age:	20+
Area covered:	National
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:	Number living with depression per 100,000 population (adults 20+ years)

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Women, 2021

Age:	20+
Area covered:	National
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:	Number living with depression per 100,000 population (adults 20+ years)

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Adults, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with depression disorders

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Adults, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with depression disorders

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Men, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with depression disorders

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Women, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with depression disorders

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Children, 2021

Area covered:	National
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:	Number living with depressive disorder per 100,000 population (Under 20 years of age)

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Boys, 2021

Area covered:	National
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:	Number living with depressive disorder per 100,000 population (Under 20 years of age)

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Girls, 2021

Area covered:	National
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:	Number living with depressive disorder per 100,000 population (Under 20 years of age)

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Mental health - anxiety disorders

Adults, 2021

Age:	20+
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Definitions:	Number living with anxiety per 100,000 population

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Men, 2021

Age:	20+
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Definitions:	Number living with anxiety per 100,000 population

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Women, 2021

Age:	20+
References:	Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Definitions:	Number living with anxiety per 100,000 population

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Adults, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with anxiety disorders

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Adults, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with anxiety disorders

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Men, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with anxiety disorders

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Women, 2015-2021

References:	Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:	% of population with anxiety disorders

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Children, 2021

References:

Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)

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Boys, 2021

References:

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Girls, 2021

References:

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% Infants exclusively breastfed 0-5 months

0-5 years, 1998-2023

References:	Encuesta de Indicadores Múltiples por Conglomerados 2011/2012, Informe Final. Buenos Aires, Argentina
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.

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Percent of population who cannot afford a healthy diet

Adults, 1998-2022

Area covered:	National
References:	The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db.

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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

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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

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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

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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

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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

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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

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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

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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

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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

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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

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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

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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

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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 10.01.2031
Definitions:	Age-standardized indicence rates per 100 000

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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).

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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).

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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).

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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).

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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).

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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).

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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).

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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).

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Diabetes prevalence

Adults, 2024

References:

Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org

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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, %

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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 (%).

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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 (%).

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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

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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.

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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.

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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.

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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.

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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

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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

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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.

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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.

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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.

Download graph Add to custom PDF

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.

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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

Download graph Add to custom PDF

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

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Economic impact of overweight and obesity

Policies, Interventions and Actions

Extension of trans fatty acid limit in oils and fats to all other foods

Argentina passed a best-practice trans fatty acid policy in 2023. The policy - which will extend Argentina’s existing 2% TFA limit in oils and fats to all other foods and include the elimination of PHO- will come into effect in 2024.

Categories:	Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):	2024 (ongoing)
Target age group:	Adults and children
Organisation:	Ministry of Health
References:	Countdown to 2023: WHO report on global trans-fat elimination 2022. Geneva: World Health Organization; 2023. Licence: CC BY-NC-SA 3.0 IGO.

The Argentine Law No. 27,642 - "Promotion of healthy eating"

The Argentine Law No. 27,642 came into effect in 2022, establishing the incorporation of warnings on the front-of-package of containers.The law also includes the regulation of: advertising, endorsements, and marketing on unhealthy food packaging; advertising, promotion and sponsorship of food aimed at children and adolescents; the marketing and delivery of unhealthy foods in educational settings; the inclusion of food education in the 3 levels of compulsory education; and carrying out massive communication campaigns aimed at the entire population. The front-of-pack labelling style used is the black octagons with white borders and letters that warn about excess sugars, total fats, saturated fats, sodium, and calories. In addition, two precautionary legends must be used: "contains sweeteners not recommended for children" and "contains caffeine, avoid in children."

Categories:	Evidence of Marketing Guidelines/Policy Labelling Regulation/Guidelines Evidence of School Food Regulations
Year(s):	2022 (ongoing)
Target age group:	Adults and children
Organisation:	Government
Find out more:	www.boletinoficial.gob.ar

Clinical Guideline on Diagnosis and Treatment of Obesity in Argentina

To contribute to the recognition of obesity as a chronic health problem. Improve its diagnostic process, therapeutic management, reduce the development and progression of its complications as well as its impact on the mortality and quality of life of the people who present it. The challenge is to help reduce its prevalence and shorten the gaps between knowledge and practice of the different actors involved in addressing this problem. This guide provides tools to systematize diagnostic and therapeutic processes based on evidence.

Categories:	Evidence of Management/treatment guidelines
Year(s):	2017 (ongoing)
Target age group:	Adults
Organisation:	Ministerio De Salud. Presidencia de la Nation
Find out more:	www.msal.gob.ar
Linked document:	Download linked document
References:	Anon (n.d.) Guía de Práctica Clínica Nacional sobre Diagnóstico y Tratamiento de la Obesidad en adultos. [Online]. Available from: http://www.msal.gob.ar/images/stories/bes/graficos/0000000971cnt-2017-06_guia-practica-clinica_obesidad.pdf [Accessed: 1 July 2020b].‌

NCD Country Profiles 2018 (Obesity Targets)

The profiles also provide data on the key metabolic risk factors, namely raised blood pressure, raised blood glucose and obesity and National Targets on Obesity (as of 2017)

Categories:	Evidence of Obesity Target
Year(s):	2017 (ongoing)
Target age group:	Adults and children
Organisation:	World Health Organisation
References:	Noncommunicable diseases country profiles 2018. Geneva: World Health Organization; 2018. Licence: CC BY-NC-SA 3.0 IGO.

COMISIÓN NACIONAL DE ALIMENTACIÓN SALUDABLE Y PREVENCIÓN DE LA OBS

National Multisectoral stakeholder mechanism in place (such as Coalition, Taskforce, Committee) for Obesity or Nutrition (including obesity).

Categories:	Evidence of a multi-sectoral national coordination mechanism for obesity or nutrition (including obesity)
Year(s):	2016 (ongoing)
Target age group:	Adults and children
References:	Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/26866 (last accessed 09.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Dietary guidelines for the Argentinian population (Guías alimentarias para la población Argentina)

The FBDGs updating process was coordinated by the National Ministry of Health, through the Directorate for Health Promotion and Control of Non-communicable Diseases, together and with the support of nutrition professionals associations, and a broad interdisciplinary panel of professionals. Main participating entities included Ministry of Agriculture, Ministry of Social development, directorates of health service quality and of maternity and infancy, academia, the national institute of food, other professional associations, research institutes, among others. (Available only in English)

Categories:	Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):	2016 (ongoing)
Target age group:	Adults and children
Organisation:	Interdisciplinary panel of professionals
Find out more:	www.argentina.gob.ar
References:	https://www.fao.org/nutrition/education/food-dietary-guidelines/regions/countries/argentina/en/

Ley 24.674 Modifícase la Ley de Impuestos Internos, texto ordenado en 1979 y sus modificaciones. Disposiciones Generales. Tabaco. Bebidas alcohólicas. Cervezas. Bebidas analcohólicas, jarabes, extractos y concentrados

Mandatory volume or weight based specific excise tax on unhealthy food or drink products. Non-alcoholic beverages, aerated or not: beverages with low alcohol content: fruit and vegetable juices, syrups for soft drinks, extracts and concentrates that, due to their preparation and commercial presentation, are sold for domestic consumption or in public places (bars, confectioneries, etc.), with or without the addition of water, soda or other beverages: and products intended for the preparation of non-alcoholic beverages not specifically covered by other internal taxes, whether natural or artificial, solid or liquid, are subject to an internal tax of four per cent (4 %). The same levy will be paid for syrups. extracts and concentrates, not derived from fruit, intended for the preparation of non-alcoholic beverages. (Available only in Argentinian Spanish language)

Categories:	Taxation/Subsidies on Food or Beverages or law relating to public health
Year(s):	2016 (ongoing)
Target age group:	Adults and children
Organisation:	The Senate and Chamber of Deputies of the Argentine Nation meeting in Congress
Linked document:	Download linked document
References:	Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/82186 (last accessed 11.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Programa Nacional de Alimentación Saludable y Prevención de la Obesidad

National obesity strategy integrating components of physical activity and nutrition with overweight/obesity-specific focus.

Categories:	Evidence of National Obesity Strategy/Policy or Action plan
Year(s):	2016 (ongoing)
Target age group:	Adults
Organisation:	Ministry of Health
Linked document:	Download linked document
References:	Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/39396 (last accessed 17.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Pan American Health Organization (PAHO) - Plan of Action for the Prevention of Obesity in Children and Adolescents

This 5-year action plan was signed by PAHO member countries, aiming to halt the rise in obesity among children and adolescents. It calls for a number of policies, including taxes on unhealthy food and drink, labelling and marketing regulation, health promotion, school nutrition improvement, and breastfeeding promotion.

Categories:	Transnational Obesity Strategies/Policy/Recommendations or Action Plan
Year(s):	2014-2019
Target age group:	Children
Organisation:	Pan American Health Organisation (PAHO), WHO for the Americas
Find out more:	iris.paho.org
Linked document:	Download linked document
References:	PAHO. Plan of Action for the Prevention of Obesity in Children and Adolescents. WHO; 2014.

National Program to Fight Sedentary Lifestyles

The purpose of this programme is to reduce the prevalence of physical inactivity in the general population, promoting the adoption of active lifestyles.

Categories:	Evidence of Physical Activity Guidelines/Policy
Year(s):	2013 (ongoing)
Target age group:	Adults and children
Organisation:	Ministry of Health
Find out more:	www.msal.gob.ar
Linked document:	Download linked document
References:	Anon (2020) Programa Nacional de Lucha contra el Sedentarismo. [Online]. 2020. Msal.gob.ar. Available from: http://www.msal.gob.ar/ent/index.php/programas/programa-de-lucha-contra-el-sedentarismo [Accessed: 1 July 2020]. ‌

Artículo N° 155 tris del Código Alimentario Argentino

Measures to limit or virtually eliminate industrially-produced trans fatty acids in food intended for the final consumer and/or for supply to retail. "The content of industrially produced trans fatty acids in food should not be greater than: 2% of the total fats in vegetable oils and margarines intended for direct consumption and 5% of the total fats in the rest of the foods. These limits do not apply to fats from ruminants, including milk fat." (Available only in Argentinian Spanish language)

Categories:	Evidence of Marketing Guidelines/Policy
Year(s):	2010 (ongoing)
Target age group:	Adults and children
Linked document:	Download linked document
References:	Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/24662 (last accessed 11.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

"Plan Argentina Saludable" (Healthy Argentina)

The Directorate of Health Promotion and Control of Chronic Non-communicable Diseases created this strategy to address healthy eating, tobacco control, active lifestyles and control of obesity and chronic diseases related to nutrition.

Categories:	Evidence of NCD strategy
Categories (partial):	Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan Evidence of Physical Activity Guidelines/Policy Evidence of Multidisciplinary Intervention Evidence of Management/treatment guidelines
Year(s):	2007
Target age group:	Adults and children
Organisation:	Ministry of Health
Find out more:	www.msal.gob.ar
Linked document:	Download linked document
References:	Anon (2017) Ministerio de Salud. [Online]. 1 March 2017. Argentina.gob.ar. Available from: http://www.msal.gob.ar/argentina-saludable/plan/argsal.html [Accessed: 1 July 2020]. ‌

Reglamento Tecnico Rotulacion Alimentos Envasados [Technical Regulation for Packaged Food Labelling]

Mandatory national labelling guidelines for packaged foods and drinks in place. (Available only in Argentinian language)

Categories:	Labelling Regulation/Guidelines
Year(s):	2005 (ongoing)
Target age group:	Adults and children
Linked document:	Download linked document
References:	Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/86431 (last accessed 10.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

GNPR 2016-17 (q7) Breastfeeeding promotion and/or counselling

WHO Global Nutrition Policy Review 2016-2017 reported the evidence of breastfeeding promotion and/or counselling (q7)

Categories:	Evidence of Breastfeeding promotion or related activity
Target age group:	Adults
Organisation:	Ministry of Health (information provided by the GINA progam)
Find out more:	extranet.who.int
References:	Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

No actions could be found for the above criteria.

Contextual factors

Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.

Tap on a tick to find out more about policies influencing this factor.

Labelling

Is there mandatory nutrition labelling?	Present
Front-of-package labelling?	Present
Back-of-pack nutrition declaration?	Present
Color coding?	Absent
Warning label?	Present

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)?	Incoming

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?	Absent

Are there mandatory standards for food in schools?	Present

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?	Present
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

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 January 31, 2023

See more policies here

Download contextual factors as a PDF Contextual factors definitions

Obesity prevalence

Trends over time

Report cards

Download report card

Report card (adult data)

Report card (child data)

Report card (under-5s data)

Population breakdowns

By education

By age

By socio-economic group

Double Burden

Drivers

Insufficient activity

Soft drink consumption

Fruit consumption

Vegetable consumption

Fast food consumption

Processed meat consumption

Grains consumption

Depression

Anxiety

Roots of obesity »

Breastfeeding

Unaffordable diet

Download report card

Comorbidities

Oesophageal cancer

Breast cancer

Colorectal cancer

Pancreatic cancer

Gallbladder cancer

Kidney cancer

Cancer of the uterus

Raised blood pressure

Raised cholesterol

Raised fasting blood glucose

Diabetes prevalence

Ovarian Cancer

Leukemia

Liver & bile duct cancer

Mulitple Myeloma

Non Hodgkin Lymphoma

Thyroid Cancer

Download report card

Economic impact

Economic impact

Download report card

Policies

National Obesity Strategy

Nutritional or Health Strategy

Marketing

Physical Activity

Tax/Subsidies on Food or Beverages

Transnational Obesity Strategies

Labelling

NCD Strategy

Multidisciplinary Intervention

Management or treatment guidelines

School Food Regulations

Breastfeeding

Obesity Target

Multisectoral national mechanism for obesity

Download report card

Contextual factors

Contextual factors

Obesity prevalence

Adults, 2018

Adults, 2018

Adults, 2018-2019

Adults, 2013

Adults, 2012-2013

Adults, 2009

Adults, 2005

Adults, 2003

Adults, 1997

Children, 2018-2019

Children, 2018

Children, 2012

Children, 2007