Health system composite index in Euro area
Euro area: Health system composite index was 0.9679 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Euro area, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Euro area is 0.9679 standard deviations from the yearly mean, measured in 2024.
The figure is down 2.6% on the previous year and up 10.0% over ten years.
Over the whole period, health system composite index in Euro area peaked at 1.07 standard deviations from the yearly mean in 2021 and was at its lowest, 0.2734 standard deviations from the yearly mean, in 1980.
The long-run direction has been consistently rising across the 45 years of available data.
Health system composite index in Euro area, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | 0.2734 standard deviations from the yearly mean | — |
| 1981 | 0.4075 standard deviations from the yearly mean | +49.1% |
| 1982 | 0.4293 standard deviations from the yearly mean | +5.4% |
| 1983 | 0.3836 standard deviations from the yearly mean | -10.7% |
| 1984 | 0.5081 standard deviations from the yearly mean | +32.5% |
| 1985 | 0.5154 standard deviations from the yearly mean | +1.4% |
| 1986 | 0.5446 standard deviations from the yearly mean | +5.7% |
| 1987 | 0.5204 standard deviations from the yearly mean | -4.4% |
| 1988 | 0.4393 standard deviations from the yearly mean | -15.6% |
| 1989 | 0.39 standard deviations from the yearly mean | -11.2% |
| 1990 | 0.5442 standard deviations from the yearly mean | +39.5% |
| 1991 | 0.5595 standard deviations from the yearly mean | +2.8% |
| 1992 | 0.5924 standard deviations from the yearly mean | +5.9% |
| 1993 | 0.6273 standard deviations from the yearly mean | +5.9% |
| 1994 | 0.6688 standard deviations from the yearly mean | +6.6% |
| 1995 | 0.6823 standard deviations from the yearly mean | +2.0% |
| 1996 | 0.7136 standard deviations from the yearly mean | +4.6% |
| 1997 | 0.7232 standard deviations from the yearly mean | +1.3% |
| 1998 | 0.6894 standard deviations from the yearly mean | -4.7% |
| 1999 | 0.7654 standard deviations from the yearly mean | +11.0% |
| 2000 | 0.7707 standard deviations from the yearly mean | +0.7% |
| 2001 | 0.7914 standard deviations from the yearly mean | +2.7% |
| 2002 | 0.8166 standard deviations from the yearly mean | +3.2% |
| 2003 | 0.8357 standard deviations from the yearly mean | +2.3% |
| 2004 | 0.8465 standard deviations from the yearly mean | +1.3% |
| 2005 | 0.8345 standard deviations from the yearly mean | -1.4% |
| 2006 | 0.8629 standard deviations from the yearly mean | +3.4% |
| 2007 | 0.8825 standard deviations from the yearly mean | +2.3% |
| 2008 | 0.8757 standard deviations from the yearly mean | -0.8% |
| 2009 | 0.8361 standard deviations from the yearly mean | -4.5% |
| 2010 | 0.8463 standard deviations from the yearly mean | +1.2% |
| 2011 | 0.8576 standard deviations from the yearly mean | +1.3% |
| 2012 | 0.8834 standard deviations from the yearly mean | +3.0% |
| 2013 | 0.8678 standard deviations from the yearly mean | -1.8% |
| 2014 | 0.88 standard deviations from the yearly mean | +1.4% |
| 2015 | 0.8479 standard deviations from the yearly mean | -3.6% |
| 2016 | 0.8692 standard deviations from the yearly mean | +2.5% |
| 2017 | 0.9 standard deviations from the yearly mean | +3.5% |
| 2018 | 0.9183 standard deviations from the yearly mean | +2.0% |
| 2019 | 0.9211 standard deviations from the yearly mean | +0.3% |
| 2020 | 1.01 standard deviations from the yearly mean | +10.1% |
| 2021 | 1.07 standard deviations from the yearly mean | +5.9% |
| 2022 | 0.9418 standard deviations from the yearly mean | -12.3% |
| 2023 | 0.9936 standard deviations from the yearly mean | +5.5% |
| 2024 | 0.9679 standard deviations from the yearly mean | -2.6% |
Biggest year-on-year movements
Years where Health system composite index in Euro area 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 |
|---|---|---|---|
| 1981 | +49.1% | 0.2734 standard deviations from the yearly mean | 0.4075 standard deviations from the yearly mean |
| 1990 | +39.5% | 0.39 standard deviations from the yearly mean | 0.5442 standard deviations from the yearly mean |
| 1984 | +32.5% | 0.3836 standard deviations from the yearly mean | 0.5081 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.4412 standard deviations from the yearly mean | 0.2734 standard deviations from the yearly mean | 0.5446 standard deviations from the yearly mean | 10 |
| 1990s | 0.6566 standard deviations from the yearly mean | 0.5442 standard deviations from the yearly mean | 0.7654 standard deviations from the yearly mean | 10 |
| 2000s | 0.8353 standard deviations from the yearly mean | 0.7707 standard deviations from the yearly mean | 0.8825 standard deviations from the yearly mean | 10 |
| 2010s | 0.8791 standard deviations from the yearly mean | 0.8463 standard deviations from the yearly mean | 0.9211 standard deviations from the yearly mean | 10 |
| 2020s | 0.9983 standard deviations from the yearly mean | 0.9418 standard deviations from the yearly mean | 1.07 standard deviations from the yearly mean | 5 |
Countries ranked near Euro area
- 1 Kuwait 1.26 standard deviations from the yearly mean compare
- 2 Andorra 1.23 standard deviations from the yearly mean compare
- 3 Luxembourg 1.19 standard deviations from the yearly mean compare
- 4 Switzerland 1.17 standard deviations from the yearly mean compare
More health data for Euro area
- Population ages 35-39, male, per capita 0.0315 units per person (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, total, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, annual growth rate -1.12 % change on previous year (2025)
- Population ages 40-44, female, per capita 0.0323 units per person (2025)
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 05-09, female, per capita 0.0229 units per person (2025)
- Population ages 40-44, female, annual growth rate -1.16 % change on previous year (2025)
- Population ages 35-39, female, annual growth rate -0.1844 % change on previous year (2025)
- Population ages 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Euro area?
- Health system composite index in Euro area was 0.9679 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Euro area?
- The highest recorded value was 1.07 standard deviations from the yearly mean in 2021.
- What is the lowest health system composite index recorded in Euro area?
- The lowest recorded value was 0.2734 standard deviations from the yearly mean in 1980.
- How does Euro area rank for health system composite index?
- Euro area ranks 1st out of 2 groups with data for 2024.
- Is health system composite index rising or falling in Euro area?
- Over the last ten years it is up 10.0%. The long-run trend across the full record is rising.
- Where does this Euro area 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 — 45 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.