Health system composite index in Sao Tome and Principe
Sao Tome and Principe: Health system composite index was -0.2161 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Sao Tome and Principe, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Sao Tome and Principe is -0.2161 standard deviations from the yearly mean, measured in 2024.
That represents a change of down 13.4% on the previous year and down 21.6% over ten years.
Over the whole period, health system composite index in Sao Tome and Principe peaked at 0.0028 standard deviations from the yearly mean in 1987 and was at its lowest, -0.9365 standard deviations from the yearly mean, in 1992.
Sao Tome and Principe ranks 127th of 196 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Health system composite index in Sao Tome and Principe, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | -0.5259 standard deviations from the yearly mean | — |
| 1970 | -0.3106 standard deviations from the yearly mean | -40.9% |
| 1980 | -0.4381 standard deviations from the yearly mean | +41.0% |
| 1981 | -0.382 standard deviations from the yearly mean | -12.8% |
| 1982 | -0.2356 standard deviations from the yearly mean | -38.3% |
| 1983 | -0.4292 standard deviations from the yearly mean | +82.2% |
| 1984 | -0.1296 standard deviations from the yearly mean | -69.8% |
| 1985 | -0.4981 standard deviations from the yearly mean | +284.5% |
| 1986 | -0.2845 standard deviations from the yearly mean | -42.9% |
| 1987 | 0.0028 standard deviations from the yearly mean | -101.0% |
| 1988 | -0.1011 standard deviations from the yearly mean | -3767.6% |
| 1989 | -0.8286 standard deviations from the yearly mean | +719.7% |
| 1990 | -0.4416 standard deviations from the yearly mean | -46.7% |
| 1991 | -0.1288 standard deviations from the yearly mean | -70.8% |
| 1992 | -0.9365 standard deviations from the yearly mean | +627.1% |
| 1993 | -0.7253 standard deviations from the yearly mean | -22.6% |
| 1994 | -0.5767 standard deviations from the yearly mean | -20.5% |
| 1995 | -0.3879 standard deviations from the yearly mean | -32.7% |
| 1996 | -0.8987 standard deviations from the yearly mean | +131.6% |
| 1997 | -0.7933 standard deviations from the yearly mean | -11.7% |
| 1998 | -0.8162 standard deviations from the yearly mean | +2.9% |
| 1999 | -0.7082 standard deviations from the yearly mean | -13.2% |
| 2000 | -0.6001 standard deviations from the yearly mean | -15.3% |
| 2001 | -0.4836 standard deviations from the yearly mean | -19.4% |
| 2002 | -0.2094 standard deviations from the yearly mean | -56.7% |
| 2003 | -0.1751 standard deviations from the yearly mean | -16.4% |
| 2004 | -0.3004 standard deviations from the yearly mean | +71.5% |
| 2005 | -0.2168 standard deviations from the yearly mean | -27.8% |
| 2006 | -0.3381 standard deviations from the yearly mean | +56.0% |
| 2007 | -0.3292 standard deviations from the yearly mean | -2.6% |
| 2008 | -0.1114 standard deviations from the yearly mean | -66.1% |
| 2009 | -0.2208 standard deviations from the yearly mean | +98.2% |
| 2010 | -0.1875 standard deviations from the yearly mean | -15.1% |
| 2011 | -0.2429 standard deviations from the yearly mean | +29.5% |
| 2012 | -0.2219 standard deviations from the yearly mean | -8.6% |
| 2013 | -0.2675 standard deviations from the yearly mean | +20.5% |
| 2014 | -0.1777 standard deviations from the yearly mean | -33.6% |
| 2015 | -0.4601 standard deviations from the yearly mean | +158.9% |
| 2016 | -0.1024 standard deviations from the yearly mean | -77.7% |
| 2017 | -0.1908 standard deviations from the yearly mean | +86.3% |
| 2018 | -0.0159 standard deviations from the yearly mean | -91.7% |
| 2019 | -0.3202 standard deviations from the yearly mean | +1919.0% |
| 2020 | -0.2391 standard deviations from the yearly mean | -25.3% |
| 2021 | -0.4336 standard deviations from the yearly mean | +81.4% |
| 2022 | -0.521 standard deviations from the yearly mean | +20.1% |
| 2023 | -0.1905 standard deviations from the yearly mean | -63.4% |
| 2024 | -0.2161 standard deviations from the yearly mean | +13.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.5259 standard deviations from the yearly mean | -0.5259 standard deviations from the yearly mean | -0.5259 standard deviations from the yearly mean | 1 |
| 1970s | -0.3106 standard deviations from the yearly mean | -0.3106 standard deviations from the yearly mean | -0.3106 standard deviations from the yearly mean | 1 |
| 1980s | -0.3324 standard deviations from the yearly mean | -0.8286 standard deviations from the yearly mean | 0.0028 standard deviations from the yearly mean | 10 |
| 1990s | -0.6413 standard deviations from the yearly mean | -0.9365 standard deviations from the yearly mean | -0.1288 standard deviations from the yearly mean | 10 |
| 2000s | -0.2985 standard deviations from the yearly mean | -0.6001 standard deviations from the yearly mean | -0.1114 standard deviations from the yearly mean | 10 |
| 2010s | -0.2187 standard deviations from the yearly mean | -0.4601 standard deviations from the yearly mean | -0.0159 standard deviations from the yearly mean | 10 |
| 2020s | -0.32 standard deviations from the yearly mean | -0.521 standard deviations from the yearly mean | -0.1905 standard deviations from the yearly mean | 5 |
Countries ranked near Sao Tome and Principe
- 124 Indonesia -0.1907 standard deviations from the yearly mean compare
- 125 Palestine -0.1913 standard deviations from the yearly mean compare
- 126 Uganda -0.2065 standard deviations from the yearly mean compare
- 128 Moldova -0.2249 standard deviations from the yearly mean compare
- 129 Fiji -0.2432 standard deviations from the yearly mean compare
- 130 Syria -0.2482 standard deviations from the yearly mean compare
More health data for Sao Tome and Principe
- Un projection of annual infant deaths, annual growth rate -6.25 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.35 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 793.5 deaths per 1,000 people (2090)
- Number of infants who die before age 1 15 deaths (2100)
- Population ages 0-14, female, annual growth rate 0.8948 % change on previous year (2025)
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, female, per capita 0.1858 units per person (2025)
- Population ages 0-14, male, annual growth rate 1.1 % change on previous year (2025)
- Population ages 0-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, male, per capita 0.1887 units per person (2025)
Frequently asked questions
- What is health system composite index in Sao Tome and Principe?
- Health system composite index in Sao Tome and Principe was -0.2161 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Sao Tome and Principe?
- The highest recorded value was 0.0028 standard deviations from the yearly mean in 1987.
- What is the lowest health system composite index recorded in Sao Tome and Principe?
- The lowest recorded value was -0.9365 standard deviations from the yearly mean in 1992.
- How does Sao Tome and Principe rank for health system composite index?
- Sao Tome and Principe ranks 127th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Sao Tome and Principe?
- Over the last ten years it is down 21.6%. The long-run trend across the full record is volatile.
- Where does this Sao Tome and Principe 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 — 47 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.