In 2022, 84.9% of the Swiss population rated their health as good or very good. This proportion has remained largely constant between 82.8% and 86.7% since 1992.
In 2022, 85.7% of men and 84.0% of women rated their health as good to very good. Among the population having completed no more than compulsory schooling, the figure is 67.6%. This figure is significantly higher among persons with a tertiary qualification (90.6%).
This indicator is part of the Monitoring System Addiction and NCD (MonAM) of the Federal Office of Public Health (FOPH).
This indicator shows how healthy people feel. Self-rated health is a common enough concept. Although it is a subjective indication, it is correlated closely with various measurable values of morbidity, mortality, health services utilisation and corresponding prognoses. (Doiron et. al, 2015).
The indicator provides a general overview of the population’s health. It also provides indications about groups that may be vulnerable in terms of health.
This indicator was calculated on the basis of data from the Swiss Health Survey (SHS, n2022 ≈ 22 000) and is updated every five years.
It shows the percentage of persons aged 15 and over living in a private household who are in good or very good health. It also shows the distribution of people according to their assessment of their health – from very poor to very good.
The indicator is based on the question "How is your health in general? Is it very good / good / average / poor / very poor?"
Time series break in 2012: In 2012, the questionnaire was revised and the response categories differ from those used until 2007 and from 2017 onwards. Therefore, the data from 2012 cannot be compared with the data from the other survey years. Furthermore, the questions were modified several times up until 2012, which also limits the comparability of the individual survey years up to that point.
An explanation of socio-demographic variables can be found in the document: Definition of the characteristics
Standardisation: Use the slider above the graphic to display the age and sex-standardised figures. Standardisation levels out age- and gender-specific differences in comparisons between different population groups (e.g. between cantons or educational levels) and over time. More information: Standardisation – explanation and calculation
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