Hungary
- Overview
- Obesity prevalence
- Trends over time
- Contextual factors
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National obesity risk *8/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Childhood obesity risk *8/11This 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
Sugar consumption
Soft drink consumption
Confectionery consumption
Sweet/savoury snack consumption
Fruit consumption
Vegetable 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.Comorbidities
Economic impact
Policies
Contextual factors
Obesity prevalence
Adults, 2019
| Survey type: | Self-reported |
| Age: | 15+ |
| Sample size: | 12,002 |
| Area covered: | National |
| References: | Hungarian Central Statistical Office (2021) European Health Interview Survey 2019 results. Data available at: http://www.ksh.hu/stadat_files/ege/en/ege0039.html. Last accessed: 02.06.21. |
| Notes: | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 03.10.22) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2019
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | Eurostat 2019. Data available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1i&lang=en (last accessed 09.08.21) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2017-2018
| Survey type: | Self-reported |
| Age: | 18+ |
| Sample size: | 1295 |
| Area covered: | National |
| References: | Bácsné Bába, Éva, et al. “Physical Activity of the Population of the Most Obese Country in Europe, Hungary.” Frontiers in Public Health, vol. 8, 2 June 2020, www.ncbi.nlm.nih.gov/pmc/articles/PMC7280479/, 10.3389/fpubh.2020.00203. Accessed 22 Apr. 2021. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2017
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2017 EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2014-2015
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 43287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Age standardised by WOF using World Population |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2014
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2012-2013
| Survey type: | Measured |
| Age: | 35-59 |
| Sample size: | 40331 |
| Area covered: | National |
| References: | Rurik I, Torzsa P, Szidor J, et al. A public health threat in Hungary: obesity, 2013. BMC Public Health. 2014;14:798. doi:10.1186/1471-2458-14-798. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2000-2003
| Survey type: | Self-reported |
| Age: | 15+ |
| Area covered: | National |
| References: | Eurostat Yearbook 2006/07. A goldmine of statistical information. Available at https://ec.europa.eu/eurostat/documents/2995521/5059290/1-20022007-BP-EN.PDF.pdf/edab8c31-b9f3-4c8e-b4db-4137bd045efa?t=1414683510000 (last accessed 04.11.21) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1992-1994
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2559 |
| References: | Biro G, Antal M, Zajkas G. Nutrition survey of the Hungarian population in a randomized trial between 1992-1994. Eur J Clin Nutr. 1996 Apr;50(4):201-8. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1985-1988
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 16641 |
| References: | Zajkas G, Biro G. Some data on the prevalence of obesity in Hungarian adult population between 1985-88 and 1992-94. Z Ernahrungswiss 1998;37(Suppl 1):S134-135 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2021-2022
| Survey type: | Self-reported |
| Age: | 13 |
| References: | Rakic JG, Hamrik Z, Dzielska A, Felder-Puig R, Oja L, Bakalár P et al. A focus on adolescent physical activity, eating behaviours, weight status and body image in Europe, central Asia and Canada. Health Behaviour in School-aged Children (HBSC) international report from the 2021/2022 survey. Volume 4. Copenhagen: WHO Regional Office for Europe; 2024. 'Any translation was not created by the World Health Organization (WHO). WHO is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition' |
| Notes: | HBSC aims to survey approximately 1500 pupils per age group in each country or region (totaling around 4500) |
| Cutoffs: | +2SD |
Children, 2018-2020
| Survey type: | Measured |
| Age: | 7 |
| Sample size: | 3091 |
| Area covered: | National |
| References: | Report on the fifth round of data collection, 2018–2020: WHO European Childhood Obesity Surveillance Initiative (COSI). Copenhagen: WHO Regional Office for Europe; 2022. Licence: CC BY-NC-SA 3.0 IGO. |
| Cutoffs: | WHO 2007 |
Children, 2016
| Survey type: | Measured |
| Age: | 7 |
| Sample size: | 2651 |
| Area covered: | National |
| References: | Erdei, G., Bakacs, M., Illés, É. et al. Substantial variation across geographic regions in the obesity prevalence among 6–8 years old Hungarian children (COSI Hungary 2016). BMC Public Health 18, 611 (2018). https://doi.org/10.1186/s12889-018-5530-6 |
| Cutoffs: | WHO |
Children, 2010
| Survey type: | Measured |
| Age: | 10-12 |
| Sample size: | 1020 |
| Area covered: | National |
| References: | Brug J, van Stralen MM, te Velde SJ, Chinapaw MJM, De Bourdeaudhuij I, et al. (2012) Differences in Weight Status and Energy-Balance Related Behaviors among Schoolchildren across Europe: The ENERGY-Project. PLoS ONE 7(4): e34742. doi:10.1371/journal.pone.0034742 |
| Cutoffs: | IOTF |
Children, 2009-2010
| Survey type: | Measured |
| Age: | 7 |
| Sample size: | 1231 |
| Area covered: | National |
| References: | Spinelli et al (2019). 'Childhood Severe Obesity in Europe', Obes Facts.12, pp. 244–258. (Data from COSI round 1-3) |
| Notes: | NOTE - this data is from COSI round II (2009/10) |
| Cutoffs: | IOTF |
Children, 2005
| Survey type: | Measured |
| Age: | 7-14 |
| Sample size: | 1928 |
| Area covered: | National |
| References: | Antal M, Peter S, Biro L, Nagy K, Regoly-Merei A, Arago G, Szabo C, Martos E. Prevalence of underwieght, overweight and obesity on the basis of body mass index and body fat percentage in Hungarian schoolchildren: Represetnative survey in Metropolitan Elementary Schools. annals of Nutrition and Metabolism 2009;54:171-176 |
| Cutoffs: | IOTF |
% Adults living with obesity, 2000-2019
Women
| Survey type: | Self-reported |
| References: | 2000: Eurostat Yearbook 2006/07. A goldmine of statistical information. Available at https://ec.europa.eu/eurostat/documents/2995521/5059290/1-20022007-BP-EN.PDF.pdf/edab8c31-b9f3-4c8e-b4db-4137bd045efa?t=1414683510000 (last accessed 04.11.21) 2014: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) 2017: 2017 EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) 2019: Eurostat 2019. Data available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1i&lang=en (last accessed 09.08.21) |
| 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. | |
Men
| Survey type: | Self-reported |
| References: | 2000: Eurostat Yearbook 2006/07. A goldmine of statistical information. Available at https://ec.europa.eu/eurostat/documents/2995521/5059290/1-20022007-BP-EN.PDF.pdf/edab8c31-b9f3-4c8e-b4db-4137bd045efa?t=1414683510000 (last accessed 04.11.21) 2014: 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) 2017: 2017 EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) 2019: Eurostat 2019. Data available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1i&lang=en (last accessed 09.08.21) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with overweight or obesity, 2000-2019
Women
| Survey type: | Self-reported |
| References: | 2000: Eurostat Yearbook 2006/07. A goldmine of statistical information. Available at https://ec.europa.eu/eurostat/documents/2995521/5059290/1-20022007-BP-EN.PDF.pdf/edab8c31-b9f3-4c8e-b4db-4137bd045efa?t=1414683510000 (last accessed 04.11.21) 2014: Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. 2017: 2017 EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) 2019: Eurostat 2019. Data available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1i&lang=en (last accessed 09.08.21) |
| 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. | |
Men
| Survey type: | Self-reported |
| References: | 2000: Eurostat Yearbook 2006/07. A goldmine of statistical information. Available at https://ec.europa.eu/eurostat/documents/2995521/5059290/1-20022007-BP-EN.PDF.pdf/edab8c31-b9f3-4c8e-b4db-4137bd045efa?t=1414683510000 (last accessed 04.11.21) 2014: Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. 2017: 2017 EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) 2019: Eurostat 2019. Data available at https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1i&lang=en (last accessed 09.08.21) |
| 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. | |
