Health system composite index in Small states
Small states: Health system composite index was -0.1243 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Small states, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Small states stood at -0.1243 standard deviations from the yearly mean.
Compared with earlier readings it is up 8.6% on the previous year and down 3,105.4% over ten years.
Over the whole period, health system composite index in Small states peaked at 0.2127 standard deviations from the yearly mean in 1990 and was at its lowest, -0.4074 standard deviations from the yearly mean, in 1980.
That places Small states 24th out of 45 groups with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Health system composite index in Small states, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.4074 standard deviations from the yearly mean | — |
| 1981 | -0.3343 standard deviations from the yearly mean | -18.0% |
| 1982 | -0.1745 standard deviations from the yearly mean | -47.8% |
| 1983 | -0.168 standard deviations from the yearly mean | -3.7% |
| 1984 | -0.0926 standard deviations from the yearly mean | -44.9% |
| 1985 | -0.0349 standard deviations from the yearly mean | -62.3% |
| 1986 | 0.0836 standard deviations from the yearly mean | -339.3% |
| 1987 | 0.1314 standard deviations from the yearly mean | +57.3% |
| 1988 | 0.1595 standard deviations from the yearly mean | +21.3% |
| 1989 | 0.2003 standard deviations from the yearly mean | +25.6% |
| 1990 | 0.2127 standard deviations from the yearly mean | +6.2% |
| 1991 | 0.2045 standard deviations from the yearly mean | -3.8% |
| 1992 | 0.0012 standard deviations from the yearly mean | -99.4% |
| 1993 | 0.1497 standard deviations from the yearly mean | +12321.7% |
| 1994 | 0.1168 standard deviations from the yearly mean | -22.0% |
| 1995 | 0.0984 standard deviations from the yearly mean | -15.8% |
| 1996 | 0.0202 standard deviations from the yearly mean | -79.4% |
| 1997 | -0.0018 standard deviations from the yearly mean | -109.1% |
| 1998 | -0.0006 standard deviations from the yearly mean | -69.0% |
| 1999 | 0.0071 standard deviations from the yearly mean | -1352.9% |
| 2000 | 0.0912 standard deviations from the yearly mean | +1178.6% |
| 2001 | 0.0665 standard deviations from the yearly mean | -27.0% |
| 2002 | -0.0133 standard deviations from the yearly mean | -120.0% |
| 2003 | -0.0389 standard deviations from the yearly mean | +192.7% |
| 2004 | -0.0385 standard deviations from the yearly mean | -1.0% |
| 2005 | -0.0574 standard deviations from the yearly mean | +49.1% |
| 2006 | -0.0473 standard deviations from the yearly mean | -17.5% |
| 2007 | -0.0241 standard deviations from the yearly mean | -49.0% |
| 2008 | -0.0222 standard deviations from the yearly mean | -7.9% |
| 2009 | -0.004 standard deviations from the yearly mean | -82.1% |
| 2010 | -0.0375 standard deviations from the yearly mean | +844.5% |
| 2011 | -0.0815 standard deviations from the yearly mean | +117.1% |
| 2012 | -0.0412 standard deviations from the yearly mean | -49.4% |
| 2013 | -0.0119 standard deviations from the yearly mean | -71.2% |
| 2014 | -0.0039 standard deviations from the yearly mean | -67.3% |
| 2015 | -0.0673 standard deviations from the yearly mean | +1635.1% |
| 2016 | -0.0714 standard deviations from the yearly mean | +6.1% |
| 2017 | -0.0295 standard deviations from the yearly mean | -58.6% |
| 2018 | -0.0642 standard deviations from the yearly mean | +117.5% |
| 2019 | -0.0886 standard deviations from the yearly mean | +37.9% |
| 2020 | -0.1489 standard deviations from the yearly mean | +68.1% |
| 2021 | -0.215 standard deviations from the yearly mean | +44.4% |
| 2022 | -0.1057 standard deviations from the yearly mean | -50.8% |
| 2023 | -0.136 standard deviations from the yearly mean | +28.6% |
| 2024 | -0.1243 standard deviations from the yearly mean | -8.6% |
Biggest year-on-year movements
Years where Health system composite index in Small states 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 |
|---|---|---|---|
| 1993 | +12321.7% | 0.0012 standard deviations from the yearly mean | 0.1497 standard deviations from the yearly mean |
| 2015 | -1635.1% | -0.0039 standard deviations from the yearly mean | -0.0673 standard deviations from the yearly mean |
| 1999 | +1352.9% | -0.0006 standard deviations from the yearly mean | 0.0071 standard deviations from the yearly mean |
| 2000 | +1178.6% | 0.0071 standard deviations from the yearly mean | 0.0912 standard deviations from the yearly mean |
| 2010 | -844.5% | -0.004 standard deviations from the yearly mean | -0.0375 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -0.0637 standard deviations from the yearly mean | -0.4074 standard deviations from the yearly mean | 0.2003 standard deviations from the yearly mean | 10 |
| 1990s | 0.0808 standard deviations from the yearly mean | -0.0018 standard deviations from the yearly mean | 0.2127 standard deviations from the yearly mean | 10 |
| 2000s | -0.0088 standard deviations from the yearly mean | -0.0574 standard deviations from the yearly mean | 0.0912 standard deviations from the yearly mean | 10 |
| 2010s | -0.0497 standard deviations from the yearly mean | -0.0886 standard deviations from the yearly mean | -0.0039 standard deviations from the yearly mean | 10 |
| 2020s | -0.146 standard deviations from the yearly mean | -0.215 standard deviations from the yearly mean | -0.1057 standard deviations from the yearly mean | 5 |
Countries ranked near Small states
- 21 Monaco 1.02 standard deviations from the yearly mean compare
- 22 Belgium 1.02 standard deviations from the yearly mean compare
- 23 Oman 0.9814 standard deviations from the yearly mean compare
- 24 Slovenia 0.9794 standard deviations from the yearly mean compare
- 25 Finland 0.9458 standard deviations from the yearly mean compare
- 26 Denmark 0.9398 standard deviations from the yearly mean compare
- 27 Germany 0.9088 standard deviations from the yearly mean compare
More health data for Small states
- Population ages 45-49, female, annual growth rate 2.41 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0307 units per person (2025)
- Population ages 45-49, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, female, per capita 0.0401 units per person (2025)
- Population ages 45-49, male, annual growth rate 2.75 % change on previous year (2025)
- Population ages 45-49, female, per capita 0.0295 units per person (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, male, annual growth rate 0.2063 % change on previous year (2025)
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, female, per capita 0.0336 units per person (2025)
Frequently asked questions
- What is health system composite index in Small states?
- Health system composite index in Small states was -0.1243 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Small states?
- The highest recorded value was 0.2127 standard deviations from the yearly mean in 1990.
- What is the lowest health system composite index recorded in Small states?
- The lowest recorded value was -0.4074 standard deviations from the yearly mean in 1980.
- How does Small states rank for health system composite index?
- Small states ranks 24th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Small states?
- Over the last ten years it is down 3,105.4%. The long-run trend across the full record is volatile.
- Where does this Small states 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.