Health system composite index in Lower middle income
Lower middle income: Health system composite index was -0.2801 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Lower middle income, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Lower middle income recorded -0.2801 standard deviations from the yearly mean for health system composite index in 2024.
Compared with earlier readings it is up 16.0% on the previous year and up 54.0% over ten years.
Over the whole period, health system composite index in Lower middle income peaked at -0.2621 standard deviations from the yearly mean in 2022 and was at its lowest, -1.09 standard deviations from the yearly mean, in 1985.
Lower middle income ranks 31st of 45 groups on this measure, 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 Lower middle income, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.9543 standard deviations from the yearly mean | — |
| 1981 | -0.9752 standard deviations from the yearly mean | +2.2% |
| 1982 | -0.9851 standard deviations from the yearly mean | +1.0% |
| 1983 | -1.05 standard deviations from the yearly mean | +6.4% |
| 1984 | -1.03 standard deviations from the yearly mean | -1.8% |
| 1985 | -1.09 standard deviations from the yearly mean | +5.6% |
| 1986 | -1.05 standard deviations from the yearly mean | -3.0% |
| 1987 | -0.9911 standard deviations from the yearly mean | -6.0% |
| 1988 | -0.9935 standard deviations from the yearly mean | +0.2% |
| 1989 | -0.9358 standard deviations from the yearly mean | -5.8% |
| 1990 | -0.8311 standard deviations from the yearly mean | -11.2% |
| 1991 | -0.9272 standard deviations from the yearly mean | +11.6% |
| 1992 | -0.802 standard deviations from the yearly mean | -13.5% |
| 1993 | -0.7236 standard deviations from the yearly mean | -9.8% |
| 1994 | -0.6292 standard deviations from the yearly mean | -13.0% |
| 1995 | -0.6224 standard deviations from the yearly mean | -1.1% |
| 1996 | -0.7195 standard deviations from the yearly mean | +15.6% |
| 1997 | -0.8324 standard deviations from the yearly mean | +15.7% |
| 1998 | -0.8318 standard deviations from the yearly mean | -0.1% |
| 1999 | -0.8166 standard deviations from the yearly mean | -1.8% |
| 2000 | -0.8186 standard deviations from the yearly mean | +0.3% |
| 2001 | -0.8474 standard deviations from the yearly mean | +3.5% |
| 2002 | -0.8836 standard deviations from the yearly mean | +4.3% |
| 2003 | -0.8565 standard deviations from the yearly mean | -3.1% |
| 2004 | -0.7983 standard deviations from the yearly mean | -6.8% |
| 2005 | -0.79 standard deviations from the yearly mean | -1.0% |
| 2006 | -0.8211 standard deviations from the yearly mean | +3.9% |
| 2007 | -0.8353 standard deviations from the yearly mean | +1.7% |
| 2008 | -0.8087 standard deviations from the yearly mean | -3.2% |
| 2009 | -0.669 standard deviations from the yearly mean | -17.3% |
| 2010 | -0.668 standard deviations from the yearly mean | -0.2% |
| 2011 | -0.6663 standard deviations from the yearly mean | -0.3% |
| 2012 | -0.7515 standard deviations from the yearly mean | +12.8% |
| 2013 | -0.7018 standard deviations from the yearly mean | -6.6% |
| 2014 | -0.6096 standard deviations from the yearly mean | -13.1% |
| 2015 | -0.554 standard deviations from the yearly mean | -9.1% |
| 2016 | -0.4977 standard deviations from the yearly mean | -10.2% |
| 2017 | -0.4414 standard deviations from the yearly mean | -11.3% |
| 2018 | -0.3941 standard deviations from the yearly mean | -10.7% |
| 2019 | -0.3403 standard deviations from the yearly mean | -13.7% |
| 2020 | -0.3675 standard deviations from the yearly mean | +8.0% |
| 2021 | -0.4205 standard deviations from the yearly mean | +14.4% |
| 2022 | -0.2621 standard deviations from the yearly mean | -37.7% |
| 2023 | -0.3334 standard deviations from the yearly mean | +27.2% |
| 2024 | -0.2801 standard deviations from the yearly mean | -16.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -1.01 standard deviations from the yearly mean | -1.09 standard deviations from the yearly mean | -0.9358 standard deviations from the yearly mean | 10 |
| 1990s | -0.7736 standard deviations from the yearly mean | -0.9272 standard deviations from the yearly mean | -0.6224 standard deviations from the yearly mean | 10 |
| 2000s | -0.8128 standard deviations from the yearly mean | -0.8836 standard deviations from the yearly mean | -0.669 standard deviations from the yearly mean | 10 |
| 2010s | -0.5625 standard deviations from the yearly mean | -0.7515 standard deviations from the yearly mean | -0.3403 standard deviations from the yearly mean | 10 |
| 2020s | -0.3327 standard deviations from the yearly mean | -0.4205 standard deviations from the yearly mean | -0.2621 standard deviations from the yearly mean | 5 |
Countries ranked near Lower middle income
- 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
- 32 Cuba 0.8379 standard deviations from the yearly mean compare
- 33 Chile 0.8376 standard deviations from the yearly mean compare
- 34 Jordan 0.8174 standard deviations from the yearly mean compare
More health data for Lower middle income
- Population ages 05-09, male, per capita 0.0503 units per person (2025)
- Population ages 65 and above, total, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, female, annual growth rate 2.6 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0271 units per person (2025)
- Population ages 45-49, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 05-09, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, male, annual growth rate 2.78 % change on previous year (2025)
- Population ages 45-49, female, per capita 0.0263 units per person (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Lower middle income?
- Health system composite index in Lower middle income was -0.2801 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Lower middle income?
- The highest recorded value was -0.2621 standard deviations from the yearly mean in 2022.
- What is the lowest health system composite index recorded in Lower middle income?
- The lowest recorded value was -1.09 standard deviations from the yearly mean in 1985.
- How does Lower middle income rank for health system composite index?
- Lower middle income ranks 31st out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Lower middle income?
- Over the last ten years it is up 54.0%. The long-run trend across the full record is rising.
- Where does this Lower 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.