Health system composite index in Central Europe and the Baltics
Central Europe and the Baltics: Health system composite index was 0.4612 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Central Europe and the Baltics, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Central Europe and the Baltics is 0.4612 standard deviations from the yearly mean, measured in 2024. That is the lowest value across all 45 years on record.
Compared with earlier readings it is down 3.8% on the previous year and down 27.5% over ten years.
Over the whole period, health system composite index in Central Europe and the Baltics peaked at 1.28 standard deviations from the yearly mean in 1983 and was at its lowest, 0.4612 standard deviations from the yearly mean, in 2024.
Central Europe and the Baltics ranks 7th of 45 groups on this measure, in the top quarter.
The long-run direction has been consistently falling across the 45 years of available data.
Health system composite index in Central Europe and the Baltics, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | 1.04 standard deviations from the yearly mean | — |
| 1981 | 1.02 standard deviations from the yearly mean | -1.9% |
| 1982 | 0.9771 standard deviations from the yearly mean | -4.4% |
| 1983 | 1.28 standard deviations from the yearly mean | +31.1% |
| 1984 | 1.23 standard deviations from the yearly mean | -3.6% |
| 1985 | 1.13 standard deviations from the yearly mean | -8.2% |
| 1986 | 1.04 standard deviations from the yearly mean | -8.0% |
| 1987 | 1.05 standard deviations from the yearly mean | +1.2% |
| 1988 | 0.9364 standard deviations from the yearly mean | -11.2% |
| 1989 | 0.915 standard deviations from the yearly mean | -2.3% |
| 1990 | 0.8807 standard deviations from the yearly mean | -3.8% |
| 1991 | 0.834 standard deviations from the yearly mean | -5.3% |
| 1992 | 0.7635 standard deviations from the yearly mean | -8.5% |
| 1993 | 0.6429 standard deviations from the yearly mean | -15.8% |
| 1994 | 0.7806 standard deviations from the yearly mean | +21.4% |
| 1995 | 0.7607 standard deviations from the yearly mean | -2.5% |
| 1996 | 0.7595 standard deviations from the yearly mean | -0.2% |
| 1997 | 0.7469 standard deviations from the yearly mean | -1.7% |
| 1998 | 0.7435 standard deviations from the yearly mean | -0.4% |
| 1999 | 0.7723 standard deviations from the yearly mean | +3.9% |
| 2000 | 0.7459 standard deviations from the yearly mean | -3.4% |
| 2001 | 0.7442 standard deviations from the yearly mean | -0.2% |
| 2002 | 0.7641 standard deviations from the yearly mean | +2.7% |
| 2003 | 0.7416 standard deviations from the yearly mean | -2.9% |
| 2004 | 0.7237 standard deviations from the yearly mean | -2.4% |
| 2005 | 0.726 standard deviations from the yearly mean | +0.3% |
| 2006 | 0.7078 standard deviations from the yearly mean | -2.5% |
| 2007 | 0.7046 standard deviations from the yearly mean | -0.5% |
| 2008 | 0.6906 standard deviations from the yearly mean | -2.0% |
| 2009 | 0.6854 standard deviations from the yearly mean | -0.8% |
| 2010 | 0.6857 standard deviations from the yearly mean | +0.0% |
| 2011 | 0.6795 standard deviations from the yearly mean | -0.9% |
| 2012 | 0.6819 standard deviations from the yearly mean | +0.3% |
| 2013 | 0.6669 standard deviations from the yearly mean | -2.2% |
| 2014 | 0.6361 standard deviations from the yearly mean | -4.6% |
| 2015 | 0.5826 standard deviations from the yearly mean | -8.4% |
| 2016 | 0.5841 standard deviations from the yearly mean | +0.3% |
| 2017 | 0.5628 standard deviations from the yearly mean | -3.7% |
| 2018 | 0.5484 standard deviations from the yearly mean | -2.6% |
| 2019 | 0.5312 standard deviations from the yearly mean | -3.1% |
| 2020 | 0.5371 standard deviations from the yearly mean | +1.1% |
| 2021 | 0.5054 standard deviations from the yearly mean | -5.9% |
| 2022 | 0.4986 standard deviations from the yearly mean | -1.3% |
| 2023 | 0.4793 standard deviations from the yearly mean | -3.9% |
| 2024 | 0.4612 standard deviations from the yearly mean | -3.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 1.06 standard deviations from the yearly mean | 0.915 standard deviations from the yearly mean | 1.28 standard deviations from the yearly mean | 10 |
| 1990s | 0.7685 standard deviations from the yearly mean | 0.6429 standard deviations from the yearly mean | 0.8807 standard deviations from the yearly mean | 10 |
| 2000s | 0.7234 standard deviations from the yearly mean | 0.6854 standard deviations from the yearly mean | 0.7641 standard deviations from the yearly mean | 10 |
| 2010s | 0.6159 standard deviations from the yearly mean | 0.5312 standard deviations from the yearly mean | 0.6857 standard deviations from the yearly mean | 10 |
| 2020s | 0.4963 standard deviations from the yearly mean | 0.4612 standard deviations from the yearly mean | 0.5371 standard deviations from the yearly mean | 5 |
Countries ranked near Central Europe and the Baltics
- 4 Switzerland 1.17 standard deviations from the yearly mean compare
- 5 Spain 1.17 standard deviations from the yearly mean compare
- 6 Israel 1.16 standard deviations from the yearly mean compare
- 7 South Korea 1.15 standard deviations from the yearly mean compare
- 8 United Arab Emirates 1.15 standard deviations from the yearly mean compare
- 9 Qatar 1.15 standard deviations from the yearly mean compare
- 10 Portugal 1.14 standard deviations from the yearly mean compare
More health data for Central Europe and the Baltics
- Population ages 0-14, total, annual growth rate -1.84 % change on previous year (2025)
- Population ages 0-14, male, per capita 0.0759 units per person (2025)
- Population ages 0-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, male, annual growth rate -1.78 % change on previous year (2025)
- Population ages 0-14, female, per capita 0.0719 units per person (2025)
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, female, annual growth rate -1.89 % change on previous year (2025)
- Population ages 65 and above, total, per capita 0.2091 units per person (2025)
- Population ages 65 and above 20.9% (2025)
- Population, male, annual growth rate -0.2471 % change on previous year (2025)
Frequently asked questions
- What is health system composite index in Central Europe and the Baltics?
- Health system composite index in Central Europe and the Baltics was 0.4612 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Central Europe and the Baltics?
- The highest recorded value was 1.28 standard deviations from the yearly mean in 1983.
- What is the lowest health system composite index recorded in Central Europe and the Baltics?
- The lowest recorded value was 0.4612 standard deviations from the yearly mean in 2024.
- How does Central Europe and the Baltics rank for health system composite index?
- Central Europe and the Baltics ranks 7th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Central Europe and the Baltics?
- Over the last ten years it is down 27.5%. The long-run trend across the full record is falling.
- Where does this Central Europe and the Baltics 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.