Health system composite index in Poland
Poland: Health system composite index was 0.5867 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Poland, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Poland is 0.5867 standard deviations from the yearly mean, measured in 2024.
Compared with earlier readings it is down 26.7% on the previous year and down 15.0% over ten years.
Over the whole period, health system composite index in Poland peaked at 1.35 standard deviations from the yearly mean in 1981 and was at its lowest, 0.3925 standard deviations from the yearly mean, in 1999.
That places Poland 62nd out of 196 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently falling across the 55 years of available data.
Health system composite index in Poland, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | 0.9885 standard deviations from the yearly mean | — |
| 1965 | 1.3 standard deviations from the yearly mean | +31.1% |
| 1970 | 1 standard deviations from the yearly mean | -22.8% |
| 1971 | 0.517 standard deviations from the yearly mean | -48.3% |
| 1973 | 0.4735 standard deviations from the yearly mean | -8.4% |
| 1975 | 1.1 standard deviations from the yearly mean | +131.6% |
| 1976 | 0.4534 standard deviations from the yearly mean | -58.7% |
| 1977 | 0.5151 standard deviations from the yearly mean | +13.6% |
| 1978 | 0.4364 standard deviations from the yearly mean | -15.3% |
| 1979 | 0.5629 standard deviations from the yearly mean | +29.0% |
| 1980 | 0.9319 standard deviations from the yearly mean | +65.5% |
| 1981 | 1.35 standard deviations from the yearly mean | +44.3% |
| 1982 | 1.13 standard deviations from the yearly mean | -16.4% |
| 1983 | 1.02 standard deviations from the yearly mean | -9.3% |
| 1984 | 1.11 standard deviations from the yearly mean | +9.1% |
| 1985 | 0.6262 standard deviations from the yearly mean | -43.8% |
| 1986 | 0.8123 standard deviations from the yearly mean | +29.7% |
| 1987 | 0.7505 standard deviations from the yearly mean | -7.6% |
| 1988 | 1.06 standard deviations from the yearly mean | +41.7% |
| 1989 | 0.9501 standard deviations from the yearly mean | -10.6% |
| 1990 | 0.6707 standard deviations from the yearly mean | -29.4% |
| 1991 | 0.4056 standard deviations from the yearly mean | -39.5% |
| 1992 | 0.4063 standard deviations from the yearly mean | +0.2% |
| 1993 | 0.5258 standard deviations from the yearly mean | +29.4% |
| 1994 | 0.4527 standard deviations from the yearly mean | -13.9% |
| 1995 | 0.4816 standard deviations from the yearly mean | +6.4% |
| 1996 | 0.5809 standard deviations from the yearly mean | +20.6% |
| 1997 | 0.5121 standard deviations from the yearly mean | -11.8% |
| 1998 | 0.4556 standard deviations from the yearly mean | -11.0% |
| 1999 | 0.3925 standard deviations from the yearly mean | -13.8% |
| 2000 | 0.6327 standard deviations from the yearly mean | +61.2% |
| 2001 | 0.6087 standard deviations from the yearly mean | -3.8% |
| 2002 | 0.6026 standard deviations from the yearly mean | -1.0% |
| 2003 | 0.7309 standard deviations from the yearly mean | +21.3% |
| 2004 | 0.7902 standard deviations from the yearly mean | +8.1% |
| 2005 | 0.7137 standard deviations from the yearly mean | -9.7% |
| 2006 | 0.682 standard deviations from the yearly mean | -4.4% |
| 2007 | 0.675 standard deviations from the yearly mean | -1.0% |
| 2008 | 0.7346 standard deviations from the yearly mean | +8.8% |
| 2009 | 0.7465 standard deviations from the yearly mean | +1.6% |
| 2010 | 0.7572 standard deviations from the yearly mean | +1.4% |
| 2011 | 0.7244 standard deviations from the yearly mean | -4.3% |
| 2012 | 0.7117 standard deviations from the yearly mean | -1.8% |
| 2013 | 0.6838 standard deviations from the yearly mean | -3.9% |
| 2014 | 0.6903 standard deviations from the yearly mean | +0.9% |
| 2015 | 0.7635 standard deviations from the yearly mean | +10.6% |
| 2016 | 0.779 standard deviations from the yearly mean | +2.0% |
| 2017 | 0.7225 standard deviations from the yearly mean | -7.2% |
| 2018 | 0.6945 standard deviations from the yearly mean | -3.9% |
| 2019 | 0.7432 standard deviations from the yearly mean | +7.0% |
| 2020 | 0.7457 standard deviations from the yearly mean | +0.3% |
| 2021 | 0.7146 standard deviations from the yearly mean | -4.2% |
| 2022 | 0.7085 standard deviations from the yearly mean | -0.8% |
| 2023 | 0.7999 standard deviations from the yearly mean | +12.9% |
| 2024 | 0.5867 standard deviations from the yearly mean | -26.7% |
Poland compared with similar countries
- Poland's 0.5867 standard deviations from the yearly mean is below the median for high income countries, which is 0.7876 standard deviations from the yearly mean, 74% of the median. (66 countries reporting)
- Poland's 0.5867 standard deviations from the yearly mean is below the median for Europe & Central Asia, which is 0.6632 standard deviations from the yearly mean, 88% of the median. (52 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Poland 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 | +131.6% | 0.4735 standard deviations from the yearly mean | 1.1 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.14 standard deviations from the yearly mean | 0.9885 standard deviations from the yearly mean | 1.3 standard deviations from the yearly mean | 2 |
| 1970s | 0.6319 standard deviations from the yearly mean | 0.4364 standard deviations from the yearly mean | 1.1 standard deviations from the yearly mean | 8 |
| 1980s | 0.9739 standard deviations from the yearly mean | 0.6262 standard deviations from the yearly mean | 1.35 standard deviations from the yearly mean | 10 |
| 1990s | 0.4884 standard deviations from the yearly mean | 0.3925 standard deviations from the yearly mean | 0.6707 standard deviations from the yearly mean | 10 |
| 2000s | 0.6917 standard deviations from the yearly mean | 0.6026 standard deviations from the yearly mean | 0.7902 standard deviations from the yearly mean | 10 |
| 2010s | 0.727 standard deviations from the yearly mean | 0.6838 standard deviations from the yearly mean | 0.779 standard deviations from the yearly mean | 10 |
| 2020s | 0.7111 standard deviations from the yearly mean | 0.5867 standard deviations from the yearly mean | 0.7999 standard deviations from the yearly mean | 5 |
Countries ranked near Poland
- 59 Morocco 0.5999 standard deviations from the yearly mean compare
- 60 Colombia 0.5881 standard deviations from the yearly mean compare
- 61 Czechia 0.588 standard deviations from the yearly mean compare
- 63 Hong Kong 0.5642 standard deviations from the yearly mean compare
- 64 Croatia 0.5495 standard deviations from the yearly mean compare
- 65 Vietnam 0.5451 standard deviations from the yearly mean compare
More health data for Poland
- Un projection of annual infant deaths, annual growth rate -1.23 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.9071 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,693 deaths per 1,000 people (2090)
- Number of infants who die before age 1 80 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate -5.59 % 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 0.0201 units per person (2025)
- Population ages 00-04, male, annual growth rate -5.49 % 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 Poland?
- Health system composite index in Poland was 0.5867 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Poland?
- The highest recorded value was 1.35 standard deviations from the yearly mean in 1981.
- What is the lowest health system composite index recorded in Poland?
- The lowest recorded value was 0.3925 standard deviations from the yearly mean in 1999.
- How does Poland rank for health system composite index?
- Poland ranks 62nd out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Poland?
- Over the last ten years it is down 15.0%. The long-run trend across the full record is falling.
- Where does this Poland 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.