Health system composite index in Sweden
Sweden: Health system composite index was 1.03 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Sweden, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Sweden stood at 1.03 standard deviations from the yearly mean.
Compared with earlier readings it is up 1.2% on the previous year and up 37.1% over ten years.
Over the whole period, health system composite index in Sweden peaked at 2.2 standard deviations from the yearly mean in 1960 and was at its lowest, 0.4495 standard deviations from the yearly mean, in 2022.
That places Sweden 19th out of 196 countries with data for 2024, putting it in the top 10%.
The long-run direction has been consistently falling across the 55 years of available data.
Health system composite index in Sweden, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | 2.2 standard deviations from the yearly mean | — |
| 1965 | 1.4 standard deviations from the yearly mean | -36.2% |
| 1970 | 2.08 standard deviations from the yearly mean | +48.2% |
| 1971 | 0.6595 standard deviations from the yearly mean | -68.3% |
| 1973 | 0.6763 standard deviations from the yearly mean | +2.5% |
| 1975 | 1.37 standard deviations from the yearly mean | +102.3% |
| 1976 | 0.8101 standard deviations from the yearly mean | -40.8% |
| 1977 | 0.896 standard deviations from the yearly mean | +10.6% |
| 1978 | 0.8802 standard deviations from the yearly mean | -1.8% |
| 1979 | 0.9746 standard deviations from the yearly mean | +10.7% |
| 1980 | 1.68 standard deviations from the yearly mean | +72.8% |
| 1981 | 1.68 standard deviations from the yearly mean | -0.2% |
| 1982 | 1.43 standard deviations from the yearly mean | -14.8% |
| 1983 | 1.34 standard deviations from the yearly mean | -6.3% |
| 1984 | 1.54 standard deviations from the yearly mean | +14.9% |
| 1985 | 1.41 standard deviations from the yearly mean | -8.6% |
| 1986 | 1.25 standard deviations from the yearly mean | -11.4% |
| 1987 | 1.14 standard deviations from the yearly mean | -9.2% |
| 1988 | 1.19 standard deviations from the yearly mean | +4.5% |
| 1989 | 1.2 standard deviations from the yearly mean | +1.1% |
| 1990 | 1.49 standard deviations from the yearly mean | +24.5% |
| 1991 | 1.17 standard deviations from the yearly mean | -21.6% |
| 1992 | 0.9361 standard deviations from the yearly mean | -19.9% |
| 1993 | 1.05 standard deviations from the yearly mean | +11.6% |
| 1994 | 0.9341 standard deviations from the yearly mean | -10.6% |
| 1995 | 0.7261 standard deviations from the yearly mean | -22.3% |
| 1996 | 0.7453 standard deviations from the yearly mean | +2.6% |
| 1997 | 0.745 standard deviations from the yearly mean | -0.0% |
| 1998 | 0.5685 standard deviations from the yearly mean | -23.7% |
| 1999 | 0.4609 standard deviations from the yearly mean | -18.9% |
| 2000 | 0.6483 standard deviations from the yearly mean | +40.7% |
| 2001 | 0.6557 standard deviations from the yearly mean | +1.1% |
| 2002 | 0.6249 standard deviations from the yearly mean | -4.7% |
| 2003 | 0.6729 standard deviations from the yearly mean | +7.7% |
| 2004 | 0.7742 standard deviations from the yearly mean | +15.1% |
| 2005 | 0.7285 standard deviations from the yearly mean | -5.9% |
| 2006 | 0.7286 standard deviations from the yearly mean | +0.0% |
| 2007 | 0.7296 standard deviations from the yearly mean | +0.1% |
| 2008 | 0.764 standard deviations from the yearly mean | +4.7% |
| 2009 | 0.7861 standard deviations from the yearly mean | +2.9% |
| 2010 | 0.8013 standard deviations from the yearly mean | +1.9% |
| 2011 | 0.756 standard deviations from the yearly mean | -5.6% |
| 2012 | 0.7481 standard deviations from the yearly mean | -1.0% |
| 2013 | 0.7428 standard deviations from the yearly mean | -0.7% |
| 2014 | 0.7537 standard deviations from the yearly mean | +1.5% |
| 2015 | 0.8005 standard deviations from the yearly mean | +6.2% |
| 2016 | 0.7577 standard deviations from the yearly mean | -5.3% |
| 2017 | 0.749 standard deviations from the yearly mean | -1.2% |
| 2018 | 0.7492 standard deviations from the yearly mean | +0.0% |
| 2019 | 0.6929 standard deviations from the yearly mean | -7.5% |
| 2020 | 0.7478 standard deviations from the yearly mean | +7.9% |
| 2021 | 0.7684 standard deviations from the yearly mean | +2.8% |
| 2022 | 0.4495 standard deviations from the yearly mean | -41.5% |
| 2023 | 1.02 standard deviations from the yearly mean | +127.2% |
| 2024 | 1.03 standard deviations from the yearly mean | +1.2% |
Sweden compared with similar countries
- Sweden's 1.03 standard deviations from the yearly mean is above the median for high income countries, which is 0.7876 standard deviations from the yearly mean, 1.3× the median. (66 countries reporting)
- Sweden's 1.03 standard deviations from the yearly mean is above the median for Europe & Central Asia, which is 0.6632 standard deviations from the yearly mean, 1.6× the median. (52 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Sweden changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2023 | +127.2% | 0.4495 standard deviations from the yearly mean | 1.02 standard deviations from the yearly mean |
| 1975 | +102.3% | 0.6763 standard deviations from the yearly mean | 1.37 standard deviations from the yearly mean |
| 1980 | +72.8% | 0.9746 standard deviations from the yearly mean | 1.68 standard deviations from the yearly mean |
| 1971 | -68.3% | 2.08 standard deviations from the yearly mean | 0.6595 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.8 standard deviations from the yearly mean | 1.4 standard deviations from the yearly mean | 2.2 standard deviations from the yearly mean | 2 |
| 1970s | 1.04 standard deviations from the yearly mean | 0.6595 standard deviations from the yearly mean | 2.08 standard deviations from the yearly mean | 8 |
| 1980s | 1.39 standard deviations from the yearly mean | 1.14 standard deviations from the yearly mean | 1.68 standard deviations from the yearly mean | 10 |
| 1990s | 0.8823 standard deviations from the yearly mean | 0.4609 standard deviations from the yearly mean | 1.49 standard deviations from the yearly mean | 10 |
| 2000s | 0.7113 standard deviations from the yearly mean | 0.6249 standard deviations from the yearly mean | 0.7861 standard deviations from the yearly mean | 10 |
| 2010s | 0.7551 standard deviations from the yearly mean | 0.6929 standard deviations from the yearly mean | 0.8013 standard deviations from the yearly mean | 10 |
| 2020s | 0.8041 standard deviations from the yearly mean | 0.4495 standard deviations from the yearly mean | 1.03 standard deviations from the yearly mean | 5 |
Countries ranked near Sweden
- 16 Norway 1.08 standard deviations from the yearly mean compare
- 17 Bahrain 1.07 standard deviations from the yearly mean compare
- 18 Maldives 1.06 standard deviations from the yearly mean compare
- 20 France 1.03 standard deviations from the yearly mean compare
- 21 Monaco 1.02 standard deviations from the yearly mean compare
- 22 Belgium 1.02 standard deviations from the yearly mean compare
More health data for Sweden
- Un projection of annual infant deaths, annual growth rate 0 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.8581 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,109 deaths per 1,000 people (2090)
- Number of infants who die before age 1 30 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate -3.12 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0243 units per person (2025)
- Population ages 00-04, male, annual growth rate -3.2 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Sweden?
- Health system composite index in Sweden was 1.03 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Sweden?
- The highest recorded value was 2.2 standard deviations from the yearly mean in 1960.
- What is the lowest health system composite index recorded in Sweden?
- The lowest recorded value was 0.4495 standard deviations from the yearly mean in 2022.
- How does Sweden rank for health system composite index?
- Sweden ranks 19th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Sweden?
- Over the last ten years it is up 37.1%. The long-run trend across the full record is falling.
- Where does this Sweden data come from?
- The figures come from Statizoid (derived), published as part of Health system composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
An equal-weighted index of 4 indicators: Life expectancy at birth, total; Physicians per 1000 people; Hospital beds per 1000 people; Immunization, measles. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.
Equal-weighted mean of the standardised inputs below.
Computed from
- Life expectancy at birth, total World Population Prospects, United Nations (UN)
- Medical doctors per 1,000 people World Health Organization (Global Health Workforce Statistics), OECD, and country data, via World Bank (2026) – processed by Our World in Data
- Hospital beds per 1,000 people World Health Organization (WHO) data, via World Bank (2026) – processed by Our World in Data
- Immunization, measles World Health Organization (WHO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
An equal-weighted index of 4 indicators: Life expectancy at birth, total; Physicians per 1000 people; Hospital beds per 1000 people; Immunization, measles. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.