Health system composite index in Late-demographic dividend
Late-demographic dividend: Health system composite index was 0.5979 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Late-demographic dividend, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Late-demographic dividend recorded 0.5979 standard deviations from the yearly mean for health system composite index in 2024.
Compared with earlier readings it is up 4.9% on the previous year and down 13.5% over ten years.
Over the whole period, health system composite index in Late-demographic dividend peaked at 0.712 standard deviations from the yearly mean in 1990 and was at its lowest, -0.2894 standard deviations from the yearly mean, in 1982.
That places Late-demographic dividend 6th out of 45 groups with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 45 years of available data.
Health system composite index in Late-demographic dividend, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.2608 standard deviations from the yearly mean | — |
| 1981 | -0.2594 standard deviations from the yearly mean | -0.5% |
| 1982 | -0.2894 standard deviations from the yearly mean | +11.5% |
| 1983 | 0.5797 standard deviations from the yearly mean | -300.4% |
| 1984 | 0.6296 standard deviations from the yearly mean | +8.6% |
| 1985 | 0.612 standard deviations from the yearly mean | -2.8% |
| 1986 | 0.2702 standard deviations from the yearly mean | -55.9% |
| 1987 | 0.4187 standard deviations from the yearly mean | +54.9% |
| 1988 | 0.6799 standard deviations from the yearly mean | +62.4% |
| 1989 | 0.6202 standard deviations from the yearly mean | -8.8% |
| 1990 | 0.712 standard deviations from the yearly mean | +14.8% |
| 1991 | 0.6145 standard deviations from the yearly mean | -13.7% |
| 1992 | 0.512 standard deviations from the yearly mean | -16.7% |
| 1993 | 0.4067 standard deviations from the yearly mean | -20.6% |
| 1994 | 0.2643 standard deviations from the yearly mean | -35.0% |
| 1995 | 0.3625 standard deviations from the yearly mean | +37.2% |
| 1996 | 0.3917 standard deviations from the yearly mean | +8.1% |
| 1997 | 0.432 standard deviations from the yearly mean | +10.3% |
| 1998 | 0.4224 standard deviations from the yearly mean | -2.2% |
| 1999 | 0.46 standard deviations from the yearly mean | +8.9% |
| 2000 | 0.4561 standard deviations from the yearly mean | -0.8% |
| 2001 | 0.4615 standard deviations from the yearly mean | +1.2% |
| 2002 | 0.4544 standard deviations from the yearly mean | -1.5% |
| 2003 | 0.4436 standard deviations from the yearly mean | -2.4% |
| 2004 | 0.4484 standard deviations from the yearly mean | +1.1% |
| 2005 | 0.447 standard deviations from the yearly mean | -0.3% |
| 2006 | 0.5634 standard deviations from the yearly mean | +26.0% |
| 2007 | 0.569 standard deviations from the yearly mean | +1.0% |
| 2008 | 0.6335 standard deviations from the yearly mean | +11.3% |
| 2009 | 0.6915 standard deviations from the yearly mean | +9.2% |
| 2010 | 0.6908 standard deviations from the yearly mean | -0.1% |
| 2011 | 0.6887 standard deviations from the yearly mean | -0.3% |
| 2012 | 0.7034 standard deviations from the yearly mean | +2.1% |
| 2013 | 0.6894 standard deviations from the yearly mean | -2.0% |
| 2014 | 0.6916 standard deviations from the yearly mean | +0.3% |
| 2015 | 0.6987 standard deviations from the yearly mean | +1.0% |
| 2016 | 0.6951 standard deviations from the yearly mean | -0.5% |
| 2017 | 0.6739 standard deviations from the yearly mean | -3.1% |
| 2018 | 0.69 standard deviations from the yearly mean | +2.4% |
| 2019 | 0.6705 standard deviations from the yearly mean | -2.8% |
| 2020 | 0.7086 standard deviations from the yearly mean | +5.7% |
| 2021 | 0.6873 standard deviations from the yearly mean | -3.0% |
| 2022 | 0.6359 standard deviations from the yearly mean | -7.5% |
| 2023 | 0.5702 standard deviations from the yearly mean | -10.3% |
| 2024 | 0.5979 standard deviations from the yearly mean | +4.9% |
Biggest year-on-year movements
Years where Health system composite index in Late-demographic dividend 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 | +300.4% | -0.2894 standard deviations from the yearly mean | 0.5797 standard deviations from the yearly mean |
| 1988 | +62.4% | 0.4187 standard deviations from the yearly mean | 0.6799 standard deviations from the yearly mean |
| 1986 | -55.9% | 0.612 standard deviations from the yearly mean | 0.2702 standard deviations from the yearly mean |
| 1987 | +54.9% | 0.2702 standard deviations from the yearly mean | 0.4187 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.3001 standard deviations from the yearly mean | -0.2894 standard deviations from the yearly mean | 0.6799 standard deviations from the yearly mean | 10 |
| 1990s | 0.4578 standard deviations from the yearly mean | 0.2643 standard deviations from the yearly mean | 0.712 standard deviations from the yearly mean | 10 |
| 2000s | 0.5168 standard deviations from the yearly mean | 0.4436 standard deviations from the yearly mean | 0.6915 standard deviations from the yearly mean | 10 |
| 2010s | 0.6892 standard deviations from the yearly mean | 0.6705 standard deviations from the yearly mean | 0.7034 standard deviations from the yearly mean | 10 |
| 2020s | 0.64 standard deviations from the yearly mean | 0.5702 standard deviations from the yearly mean | 0.7086 standard deviations from the yearly mean | 5 |
Countries ranked near Late-demographic dividend
- 3 Luxembourg 1.19 standard deviations from the yearly mean compare
- 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
More health data for Late-demographic dividend
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 15-64, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, annual growth rate -0.5841 % change on previous year (2025)
- Population ages 40-44, male, per capita 0.0378 units per person (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 05-09, male, annual growth rate -4.26 % change on previous year (2025)
- Population ages 40-44, male, annual growth rate 1.95 % change on previous year (2025)
- Population ages 40-44, female, per capita 0.0363 units per person (2025)
- Population ages 35-39, female, per capita 0.0404 units per person (2025)
Frequently asked questions
- What is health system composite index in Late-demographic dividend?
- Health system composite index in Late-demographic dividend was 0.5979 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Late-demographic dividend?
- The highest recorded value was 0.712 standard deviations from the yearly mean in 1990.
- What is the lowest health system composite index recorded in Late-demographic dividend?
- The lowest recorded value was -0.2894 standard deviations from the yearly mean in 1982.
- How does Late-demographic dividend rank for health system composite index?
- Late-demographic dividend ranks 6th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Late-demographic dividend?
- Over the last ten years it is down 13.5%. The long-run trend across the full record is rising.
- Where does this Late-demographic dividend 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.