Health system composite index in Portugal
Portugal: Health system composite index was 1.14 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Portugal, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Portugal stood at 1.14 standard deviations from the yearly mean.
That represents a change of down 0.5% on the previous year and up 29.3% over ten years.
Over the whole period, health system composite index in Portugal peaked at 1.14 standard deviations from the yearly mean in 2023 and was at its lowest, -0.0584 standard deviations from the yearly mean, in 1971.
Portugal ranks 10th of 196 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 55 years of available data.
Health system composite index in Portugal, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | 0.9372 standard deviations from the yearly mean | — |
| 1965 | 0.8558 standard deviations from the yearly mean | -8.7% |
| 1970 | 0.7571 standard deviations from the yearly mean | -11.5% |
| 1971 | -0.0584 standard deviations from the yearly mean | -107.7% |
| 1973 | 0.0263 standard deviations from the yearly mean | -145.1% |
| 1975 | 0.7277 standard deviations from the yearly mean | +2663.9% |
| 1976 | 0.1342 standard deviations from the yearly mean | -81.6% |
| 1977 | 0.3514 standard deviations from the yearly mean | +161.8% |
| 1978 | 0.4348 standard deviations from the yearly mean | +23.7% |
| 1979 | 0.7 standard deviations from the yearly mean | +61.0% |
| 1980 | 0.8745 standard deviations from the yearly mean | +24.9% |
| 1981 | 0.7399 standard deviations from the yearly mean | -15.4% |
| 1982 | 0.6813 standard deviations from the yearly mean | -7.9% |
| 1983 | 0.5614 standard deviations from the yearly mean | -17.6% |
| 1984 | 0.4996 standard deviations from the yearly mean | -11.0% |
| 1985 | 0.3504 standard deviations from the yearly mean | -29.9% |
| 1986 | 0.2947 standard deviations from the yearly mean | -15.9% |
| 1987 | 0.3535 standard deviations from the yearly mean | +20.0% |
| 1988 | 0.3621 standard deviations from the yearly mean | +2.4% |
| 1989 | 0.623 standard deviations from the yearly mean | +72.1% |
| 1990 | 0.6296 standard deviations from the yearly mean | +1.1% |
| 1991 | 0.5543 standard deviations from the yearly mean | -12.0% |
| 1992 | 0.5702 standard deviations from the yearly mean | +2.9% |
| 1993 | 0.6048 standard deviations from the yearly mean | +6.1% |
| 1994 | 0.4606 standard deviations from the yearly mean | -23.8% |
| 1995 | 0.5489 standard deviations from the yearly mean | +19.2% |
| 1996 | 0.692 standard deviations from the yearly mean | +26.1% |
| 1997 | 0.5834 standard deviations from the yearly mean | -15.7% |
| 1998 | 0.5479 standard deviations from the yearly mean | -6.1% |
| 1999 | 0.4509 standard deviations from the yearly mean | -17.7% |
| 2000 | 0.5539 standard deviations from the yearly mean | +22.8% |
| 2001 | 0.5814 standard deviations from the yearly mean | +5.0% |
| 2002 | 0.575 standard deviations from the yearly mean | -1.1% |
| 2003 | 0.6703 standard deviations from the yearly mean | +16.6% |
| 2004 | 0.7447 standard deviations from the yearly mean | +11.1% |
| 2005 | 0.6795 standard deviations from the yearly mean | -8.8% |
| 2006 | 0.7213 standard deviations from the yearly mean | +6.2% |
| 2007 | 0.6957 standard deviations from the yearly mean | -3.5% |
| 2008 | 0.7729 standard deviations from the yearly mean | +11.1% |
| 2009 | 0.7494 standard deviations from the yearly mean | -3.0% |
| 2010 | 0.8006 standard deviations from the yearly mean | +6.8% |
| 2011 | 0.8168 standard deviations from the yearly mean | +2.0% |
| 2012 | 0.8202 standard deviations from the yearly mean | +0.4% |
| 2013 | 0.8495 standard deviations from the yearly mean | +3.6% |
| 2014 | 0.8783 standard deviations from the yearly mean | +3.4% |
| 2015 | 0.9568 standard deviations from the yearly mean | +8.9% |
| 2016 | 0.9593 standard deviations from the yearly mean | +0.3% |
| 2017 | 0.9913 standard deviations from the yearly mean | +3.3% |
| 2018 | 1.02 standard deviations from the yearly mean | +2.9% |
| 2019 | 0.9922 standard deviations from the yearly mean | -2.8% |
| 2020 | 1.07 standard deviations from the yearly mean | +8.2% |
| 2021 | 1.07 standard deviations from the yearly mean | -0.7% |
| 2022 | 1.04 standard deviations from the yearly mean | -2.5% |
| 2023 | 1.14 standard deviations from the yearly mean | +9.9% |
| 2024 | 1.14 standard deviations from the yearly mean | -0.5% |
Portugal compared with similar countries
- Portugal's 1.14 standard deviations from the yearly mean is above the median for high income countries, which is 0.7876 standard deviations from the yearly mean, 1.4× the median. (66 countries reporting)
- Portugal's 1.14 standard deviations from the yearly mean is above the median for Europe & Central Asia, which is 0.6632 standard deviations from the yearly mean, 1.7× the median. (52 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Portugal 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 |
|---|---|---|---|
| 1975 | +2663.9% | 0.0263 standard deviations from the yearly mean | 0.7277 standard deviations from the yearly mean |
| 1977 | +161.8% | 0.1342 standard deviations from the yearly mean | 0.3514 standard deviations from the yearly mean |
| 1973 | +145.1% | -0.0584 standard deviations from the yearly mean | 0.0263 standard deviations from the yearly mean |
| 1971 | -107.7% | 0.7571 standard deviations from the yearly mean | -0.0584 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.8965 standard deviations from the yearly mean | 0.8558 standard deviations from the yearly mean | 0.9372 standard deviations from the yearly mean | 2 |
| 1970s | 0.3841 standard deviations from the yearly mean | -0.0584 standard deviations from the yearly mean | 0.7571 standard deviations from the yearly mean | 8 |
| 1980s | 0.534 standard deviations from the yearly mean | 0.2947 standard deviations from the yearly mean | 0.8745 standard deviations from the yearly mean | 10 |
| 1990s | 0.5643 standard deviations from the yearly mean | 0.4509 standard deviations from the yearly mean | 0.692 standard deviations from the yearly mean | 10 |
| 2000s | 0.6744 standard deviations from the yearly mean | 0.5539 standard deviations from the yearly mean | 0.7729 standard deviations from the yearly mean | 10 |
| 2010s | 0.9085 standard deviations from the yearly mean | 0.8006 standard deviations from the yearly mean | 1.02 standard deviations from the yearly mean | 10 |
| 2020s | 1.09 standard deviations from the yearly mean | 1.04 standard deviations from the yearly mean | 1.14 standard deviations from the yearly mean | 5 |
Countries ranked near Portugal
- 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
- 11 Singapore 1.13 standard deviations from the yearly mean compare
- 12 Japan 1.11 standard deviations from the yearly mean compare
- 13 Italy 1.1 standard deviations from the yearly mean compare
More health data for Portugal
- Un projection of annual infant deaths, annual growth rate -2.56 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.1616 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,112 deaths per 1,000 people (2090)
- Number of infants who die before age 1 38 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate 1.39 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0199 units per person (2025)
- Population ages 00-04, male, annual growth rate 1.15 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Portugal?
- Health system composite index in Portugal was 1.14 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Portugal?
- The highest recorded value was 1.14 standard deviations from the yearly mean in 2023.
- What is the lowest health system composite index recorded in Portugal?
- The lowest recorded value was -0.0584 standard deviations from the yearly mean in 1971.
- How does Portugal rank for health system composite index?
- Portugal ranks 10th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Portugal?
- Over the last ten years it is up 29.3%. The long-run trend across the full record is rising.
- Where does this Portugal 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 — 55 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.