Health system composite index in Post-demographic dividend
Post-demographic dividend: Health system composite index was 0.8228 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Post-demographic dividend, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Post-demographic dividend recorded 0.8228 standard deviations from the yearly mean for health system composite index in 2024.
The figure is down 2.3% on the previous year and up 10.4% over ten years.
Over the whole period, health system composite index in Post-demographic dividend peaked at 0.9666 standard deviations from the yearly mean in 1984 and was at its lowest, 0.6976 standard deviations from the yearly mean, in 2009.
That places Post-demographic dividend 1st out of 45 groups with data for 2024, putting it in the top 10%.
The long-run direction has been consistently falling across the 45 years of available data.
Health system composite index in Post-demographic dividend, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | 0.8594 standard deviations from the yearly mean | — |
| 1981 | 0.94 standard deviations from the yearly mean | +9.4% |
| 1982 | 0.934 standard deviations from the yearly mean | -0.6% |
| 1983 | 0.9163 standard deviations from the yearly mean | -1.9% |
| 1984 | 0.9666 standard deviations from the yearly mean | +5.5% |
| 1985 | 0.9396 standard deviations from the yearly mean | -2.8% |
| 1986 | 0.9225 standard deviations from the yearly mean | -1.8% |
| 1987 | 0.8296 standard deviations from the yearly mean | -10.1% |
| 1988 | 0.8792 standard deviations from the yearly mean | +6.0% |
| 1989 | 0.8324 standard deviations from the yearly mean | -5.3% |
| 1990 | 0.7975 standard deviations from the yearly mean | -4.2% |
| 1991 | 0.775 standard deviations from the yearly mean | -2.8% |
| 1992 | 0.7455 standard deviations from the yearly mean | -3.8% |
| 1993 | 0.7596 standard deviations from the yearly mean | +1.9% |
| 1994 | 0.8305 standard deviations from the yearly mean | +9.3% |
| 1995 | 0.8318 standard deviations from the yearly mean | +0.2% |
| 1996 | 0.8417 standard deviations from the yearly mean | +1.2% |
| 1997 | 0.8357 standard deviations from the yearly mean | -0.7% |
| 1998 | 0.8056 standard deviations from the yearly mean | -3.6% |
| 1999 | 0.8473 standard deviations from the yearly mean | +5.2% |
| 2000 | 0.8388 standard deviations from the yearly mean | -1.0% |
| 2001 | 0.8367 standard deviations from the yearly mean | -0.3% |
| 2002 | 0.847 standard deviations from the yearly mean | +1.2% |
| 2003 | 0.8558 standard deviations from the yearly mean | +1.0% |
| 2004 | 0.848 standard deviations from the yearly mean | -0.9% |
| 2005 | 0.8203 standard deviations from the yearly mean | -3.3% |
| 2006 | 0.8174 standard deviations from the yearly mean | -0.4% |
| 2007 | 0.8101 standard deviations from the yearly mean | -0.9% |
| 2008 | 0.788 standard deviations from the yearly mean | -2.7% |
| 2009 | 0.6976 standard deviations from the yearly mean | -11.5% |
| 2010 | 0.7148 standard deviations from the yearly mean | +2.5% |
| 2011 | 0.7256 standard deviations from the yearly mean | +1.5% |
| 2012 | 0.7631 standard deviations from the yearly mean | +5.2% |
| 2013 | 0.7652 standard deviations from the yearly mean | +0.3% |
| 2014 | 0.7455 standard deviations from the yearly mean | -2.6% |
| 2015 | 0.7325 standard deviations from the yearly mean | -1.7% |
| 2016 | 0.7154 standard deviations from the yearly mean | -2.3% |
| 2017 | 0.782 standard deviations from the yearly mean | +9.3% |
| 2018 | 0.8061 standard deviations from the yearly mean | +3.1% |
| 2019 | 0.7625 standard deviations from the yearly mean | -5.4% |
| 2020 | 0.8609 standard deviations from the yearly mean | +12.9% |
| 2021 | 0.9087 standard deviations from the yearly mean | +5.6% |
| 2022 | 0.8013 standard deviations from the yearly mean | -11.8% |
| 2023 | 0.8426 standard deviations from the yearly mean | +5.2% |
| 2024 | 0.8228 standard deviations from the yearly mean | -2.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.902 standard deviations from the yearly mean | 0.8296 standard deviations from the yearly mean | 0.9666 standard deviations from the yearly mean | 10 |
| 1990s | 0.807 standard deviations from the yearly mean | 0.7455 standard deviations from the yearly mean | 0.8473 standard deviations from the yearly mean | 10 |
| 2000s | 0.816 standard deviations from the yearly mean | 0.6976 standard deviations from the yearly mean | 0.8558 standard deviations from the yearly mean | 10 |
| 2010s | 0.7513 standard deviations from the yearly mean | 0.7148 standard deviations from the yearly mean | 0.8061 standard deviations from the yearly mean | 10 |
| 2020s | 0.8473 standard deviations from the yearly mean | 0.8013 standard deviations from the yearly mean | 0.9087 standard deviations from the yearly mean | 5 |
Countries ranked near Post-demographic dividend
- 1 Kuwait 1.26 standard deviations from the yearly mean compare
- 2 Andorra 1.23 standard deviations from the yearly mean compare
- 3 Luxembourg 1.19 standard deviations from the yearly mean compare
- 4 Switzerland 1.17 standard deviations from the yearly mean compare
More health data for Post-demographic dividend
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, female, annual growth rate -0.3334 % change on previous year (2025)
- Population ages 35-39, male, per capita 0.0335 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, annual growth rate 0.4277 % change on previous year (2025)
- Population ages 35-39, female, per capita 0.0323 units per person (2025)
- Population ages 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, female, annual growth rate 0.1565 % change on previous year (2025)
- Population ages 30-34, male, per capita 0.0327 units per person (2025)
- Population ages 25-29, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Post-demographic dividend?
- Health system composite index in Post-demographic dividend was 0.8228 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Post-demographic dividend?
- The highest recorded value was 0.9666 standard deviations from the yearly mean in 1984.
- What is the lowest health system composite index recorded in Post-demographic dividend?
- The lowest recorded value was 0.6976 standard deviations from the yearly mean in 2009.
- How does Post-demographic dividend rank for health system composite index?
- Post-demographic dividend ranks 1st out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Post-demographic dividend?
- Over the last ten years it is up 10.4%. The long-run trend across the full record is falling.
- Where does this Post-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.