Health system composite index in Upper middle income
Upper middle income: Health system composite index was 0.35 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Upper middle income, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Upper middle income recorded 0.35 standard deviations from the yearly mean for health system composite index in 2024.
The figure is up 4.7% on the previous year and down 21.2% over ten years.
Over the whole period, health system composite index in Upper middle income peaked at 0.4858 standard deviations from the yearly mean in 1988 and was at its lowest, -0.3133 standard deviations from the yearly mean, in 1982.
That places Upper middle income 11th out of 45 groups with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Health system composite index in Upper middle income, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.3056 standard deviations from the yearly mean | — |
| 1981 | -0.2994 standard deviations from the yearly mean | -2.0% |
| 1982 | -0.3133 standard deviations from the yearly mean | +4.6% |
| 1983 | 0.2872 standard deviations from the yearly mean | -191.7% |
| 1984 | 0.336 standard deviations from the yearly mean | +17.0% |
| 1985 | 0.401 standard deviations from the yearly mean | +19.3% |
| 1986 | 0.167 standard deviations from the yearly mean | -58.4% |
| 1987 | 0.2674 standard deviations from the yearly mean | +60.2% |
| 1988 | 0.4858 standard deviations from the yearly mean | +81.7% |
| 1989 | 0.4283 standard deviations from the yearly mean | -11.8% |
| 1990 | 0.4827 standard deviations from the yearly mean | +12.7% |
| 1991 | 0.4496 standard deviations from the yearly mean | -6.9% |
| 1992 | 0.4101 standard deviations from the yearly mean | -8.8% |
| 1993 | 0.3202 standard deviations from the yearly mean | -21.9% |
| 1994 | 0.221 standard deviations from the yearly mean | -31.0% |
| 1995 | 0.2749 standard deviations from the yearly mean | +24.4% |
| 1996 | 0.341 standard deviations from the yearly mean | +24.0% |
| 1997 | 0.3711 standard deviations from the yearly mean | +8.8% |
| 1998 | 0.369 standard deviations from the yearly mean | -0.6% |
| 1999 | 0.3899 standard deviations from the yearly mean | +5.7% |
| 2000 | 0.3757 standard deviations from the yearly mean | -3.7% |
| 2001 | 0.3681 standard deviations from the yearly mean | -2.0% |
| 2002 | 0.3388 standard deviations from the yearly mean | -8.0% |
| 2003 | 0.3228 standard deviations from the yearly mean | -4.7% |
| 2004 | 0.3165 standard deviations from the yearly mean | -2.0% |
| 2005 | 0.3146 standard deviations from the yearly mean | -0.6% |
| 2006 | 0.4064 standard deviations from the yearly mean | +29.2% |
| 2007 | 0.3801 standard deviations from the yearly mean | -6.5% |
| 2008 | 0.4228 standard deviations from the yearly mean | +11.2% |
| 2009 | 0.4433 standard deviations from the yearly mean | +4.9% |
| 2010 | 0.4349 standard deviations from the yearly mean | -1.9% |
| 2011 | 0.4495 standard deviations from the yearly mean | +3.4% |
| 2012 | 0.4583 standard deviations from the yearly mean | +2.0% |
| 2013 | 0.4436 standard deviations from the yearly mean | -3.2% |
| 2014 | 0.4445 standard deviations from the yearly mean | +0.2% |
| 2015 | 0.4643 standard deviations from the yearly mean | +4.5% |
| 2016 | 0.4693 standard deviations from the yearly mean | +1.1% |
| 2017 | 0.4336 standard deviations from the yearly mean | -7.6% |
| 2018 | 0.4765 standard deviations from the yearly mean | +9.9% |
| 2019 | 0.406 standard deviations from the yearly mean | -14.8% |
| 2020 | 0.405 standard deviations from the yearly mean | -0.3% |
| 2021 | 0.3694 standard deviations from the yearly mean | -8.8% |
| 2022 | 0.426 standard deviations from the yearly mean | +15.3% |
| 2023 | 0.3342 standard deviations from the yearly mean | -21.5% |
| 2024 | 0.35 standard deviations from the yearly mean | +4.7% |
Biggest year-on-year movements
Years where Health system composite index in Upper middle income 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 |
|---|---|---|---|
| 1983 | +191.7% | -0.3133 standard deviations from the yearly mean | 0.2872 standard deviations from the yearly mean |
| 1988 | +81.7% | 0.2674 standard deviations from the yearly mean | 0.4858 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.1454 standard deviations from the yearly mean | -0.3133 standard deviations from the yearly mean | 0.4858 standard deviations from the yearly mean | 10 |
| 1990s | 0.3629 standard deviations from the yearly mean | 0.221 standard deviations from the yearly mean | 0.4827 standard deviations from the yearly mean | 10 |
| 2000s | 0.3689 standard deviations from the yearly mean | 0.3146 standard deviations from the yearly mean | 0.4433 standard deviations from the yearly mean | 10 |
| 2010s | 0.448 standard deviations from the yearly mean | 0.406 standard deviations from the yearly mean | 0.4765 standard deviations from the yearly mean | 10 |
| 2020s | 0.3769 standard deviations from the yearly mean | 0.3342 standard deviations from the yearly mean | 0.426 standard deviations from the yearly mean | 5 |
Countries ranked near Upper middle income
- 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
- 11 Singapore 1.13 standard deviations from the yearly mean compare
- 12 Japan 1.11 standard deviations from the yearly mean compare
- 13 Italy 1.1 standard deviations from the yearly mean compare
- 14 Cyprus 1.1 standard deviations from the yearly mean compare
More health data for Upper middle income
- Population ages 40-44, female, per capita 0.0359 units per person (2025)
- Population ages 35-39, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, per capita 0.0413 units per person (2025)
- Population ages 40-44, female, annual growth rate 1.71 % 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, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, annual growth rate 0.1721 % change on previous year (2025)
- Population ages 40-44, male, per capita 0.0368 units per person (2025)
- Population ages 35-39, male, annual growth rate 2.11 % change on previous year (2025)
- Population ages 40-44, male, annual growth rate 1.94 % change on previous year (2025)
Frequently asked questions
- What is health system composite index in Upper middle income?
- Health system composite index in Upper middle income was 0.35 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Upper middle income?
- The highest recorded value was 0.4858 standard deviations from the yearly mean in 1988.
- What is the lowest health system composite index recorded in Upper middle income?
- The lowest recorded value was -0.3133 standard deviations from the yearly mean in 1982.
- How does Upper middle income rank for health system composite index?
- Upper middle income ranks 11th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Upper middle income?
- Over the last ten years it is down 21.2%. The long-run trend across the full record is volatile.
- Where does this Upper middle income 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.