Health system composite index in Low & middle income
Low & middle income: Health system composite index was -0.2024 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Low & middle income, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Low & middle income is -0.2024 standard deviations from the yearly mean, measured in 2024.
Compared with earlier readings it is up 12.9% on the previous year and up 20.3% over ten years.
Over the whole period, health system composite index in Low & middle income peaked at -0.1375 standard deviations from the yearly mean in 2022 and was at its lowest, -0.6276 standard deviations from the yearly mean, in 1982.
That places Low & middle income 28th out of 45 groups with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 45 years of available data.
Health system composite index in Low & middle income, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.6153 standard deviations from the yearly mean | — |
| 1981 | -0.6176 standard deviations from the yearly mean | +0.4% |
| 1982 | -0.6276 standard deviations from the yearly mean | +1.6% |
| 1983 | -0.3841 standard deviations from the yearly mean | -38.8% |
| 1984 | -0.3642 standard deviations from the yearly mean | -5.2% |
| 1985 | -0.37 standard deviations from the yearly mean | +1.6% |
| 1986 | -0.4633 standard deviations from the yearly mean | +25.2% |
| 1987 | -0.3915 standard deviations from the yearly mean | -15.5% |
| 1988 | -0.2903 standard deviations from the yearly mean | -25.8% |
| 1989 | -0.2932 standard deviations from the yearly mean | +1.0% |
| 1990 | -0.2308 standard deviations from the yearly mean | -21.3% |
| 1991 | -0.301 standard deviations from the yearly mean | +30.4% |
| 1992 | -0.2763 standard deviations from the yearly mean | -8.2% |
| 1993 | -0.2913 standard deviations from the yearly mean | +5.4% |
| 1994 | -0.2942 standard deviations from the yearly mean | +1.0% |
| 1995 | -0.2866 standard deviations from the yearly mean | -2.6% |
| 1996 | -0.308 standard deviations from the yearly mean | +7.5% |
| 1997 | -0.3591 standard deviations from the yearly mean | +16.6% |
| 1998 | -0.3749 standard deviations from the yearly mean | +4.4% |
| 1999 | -0.3669 standard deviations from the yearly mean | -2.1% |
| 2000 | -0.3728 standard deviations from the yearly mean | +1.6% |
| 2001 | -0.3922 standard deviations from the yearly mean | +5.2% |
| 2002 | -0.4234 standard deviations from the yearly mean | +8.0% |
| 2003 | -0.4164 standard deviations from the yearly mean | -1.6% |
| 2004 | -0.3841 standard deviations from the yearly mean | -7.8% |
| 2005 | -0.3797 standard deviations from the yearly mean | -1.1% |
| 2006 | -0.3618 standard deviations from the yearly mean | -4.7% |
| 2007 | -0.3729 standard deviations from the yearly mean | +3.0% |
| 2008 | -0.3473 standard deviations from the yearly mean | -6.8% |
| 2009 | -0.268 standard deviations from the yearly mean | -22.8% |
| 2010 | -0.2603 standard deviations from the yearly mean | -2.8% |
| 2011 | -0.2666 standard deviations from the yearly mean | +2.4% |
| 2012 | -0.3157 standard deviations from the yearly mean | +18.4% |
| 2013 | -0.3024 standard deviations from the yearly mean | -4.2% |
| 2014 | -0.2538 standard deviations from the yearly mean | -16.1% |
| 2015 | -0.2247 standard deviations from the yearly mean | -11.5% |
| 2016 | -0.1978 standard deviations from the yearly mean | -12.0% |
| 2017 | -0.1882 standard deviations from the yearly mean | -4.9% |
| 2018 | -0.1536 standard deviations from the yearly mean | -18.4% |
| 2019 | -0.1616 standard deviations from the yearly mean | +5.2% |
| 2020 | -0.1716 standard deviations from the yearly mean | +6.2% |
| 2021 | -0.2042 standard deviations from the yearly mean | +19.0% |
| 2022 | -0.1375 standard deviations from the yearly mean | -32.6% |
| 2023 | -0.2322 standard deviations from the yearly mean | +68.9% |
| 2024 | -0.2024 standard deviations from the yearly mean | -12.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -0.4417 standard deviations from the yearly mean | -0.6276 standard deviations from the yearly mean | -0.2903 standard deviations from the yearly mean | 10 |
| 1990s | -0.3089 standard deviations from the yearly mean | -0.3749 standard deviations from the yearly mean | -0.2308 standard deviations from the yearly mean | 10 |
| 2000s | -0.3719 standard deviations from the yearly mean | -0.4234 standard deviations from the yearly mean | -0.268 standard deviations from the yearly mean | 10 |
| 2010s | -0.2325 standard deviations from the yearly mean | -0.3157 standard deviations from the yearly mean | -0.1536 standard deviations from the yearly mean | 10 |
| 2020s | -0.1896 standard deviations from the yearly mean | -0.2322 standard deviations from the yearly mean | -0.1375 standard deviations from the yearly mean | 5 |
Countries ranked near Low & middle income
- 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
- 28 Australia 0.8853 standard deviations from the yearly mean compare
- 29 San Marino 0.8611 standard deviations from the yearly mean compare
- 30 Canada 0.8544 standard deviations from the yearly mean compare
- 31 Ireland 0.8449 standard deviations from the yearly mean compare
More health data for Low & middle income
- Population ages 15-64, male, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 15-64, male, annual growth rate 1.33 % change on previous year (2025)
- Population ages 15-64, female, per capita 0.3221 units per person (2025)
- Population ages 15-64, female, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 15-64, female, annual growth rate 1.28 % change on previous year (2025)
- Population ages 0-14, total, per capita 0.2628 units per person (2025)
- Population ages 0-14, total, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, total, annual growth rate -0.3111 % change on previous year (2025)
- Population ages 65 and above 8.4% (2025)
- Population ages 65 and above, female 314.18 million (2025)
Frequently asked questions
- What is health system composite index in Low & middle income?
- Health system composite index in Low & middle income was -0.2024 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Low & middle income?
- The highest recorded value was -0.1375 standard deviations from the yearly mean in 2022.
- What is the lowest health system composite index recorded in Low & middle income?
- The lowest recorded value was -0.6276 standard deviations from the yearly mean in 1982.
- How does Low & middle income rank for health system composite index?
- Low & middle income ranks 28th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Low & middle income?
- Over the last ten years it is up 20.3%. The long-run trend across the full record is rising.
- Where does this Low & 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)
- Physicians per 1000 people Our World in Data
- Hospital beds per 1000 people 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.