Health system composite index in Brazil
Brazil: Health system composite index was 0.4513 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Brazil, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Brazil recorded 0.4513 standard deviations from the yearly mean for health system composite index in 2024.
Compared with earlier readings it is up 91.7% on the previous year and up 46.6% over ten years.
Over the whole period, health system composite index in Brazil peaked at 0.5908 standard deviations from the yearly mean in 2004 and was at its lowest, -0.2579 standard deviations from the yearly mean, in 1989.
That places Brazil 75th out of 196 countries with data for 2024, putting it 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 Brazil, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | -0.0686 standard deviations from the yearly mean | — |
| 1965 | -0.1009 standard deviations from the yearly mean | +47.2% |
| 1970 | -0.0489 standard deviations from the yearly mean | -51.5% |
| 1975 | 0.2399 standard deviations from the yearly mean | -590.7% |
| 1980 | 0.4518 standard deviations from the yearly mean | +88.3% |
| 1981 | 0.4303 standard deviations from the yearly mean | -4.8% |
| 1982 | 0.5623 standard deviations from the yearly mean | +30.7% |
| 1983 | 0.4728 standard deviations from the yearly mean | -15.9% |
| 1984 | 0.2922 standard deviations from the yearly mean | -38.2% |
| 1985 | 0.2245 standard deviations from the yearly mean | -23.2% |
| 1986 | 0.2456 standard deviations from the yearly mean | +9.4% |
| 1987 | -0.2319 standard deviations from the yearly mean | -194.4% |
| 1988 | -0.1452 standard deviations from the yearly mean | -37.4% |
| 1989 | -0.2579 standard deviations from the yearly mean | +77.6% |
| 1990 | -0.0578 standard deviations from the yearly mean | -77.6% |
| 1991 | 0.3609 standard deviations from the yearly mean | -724.7% |
| 1992 | 0.1472 standard deviations from the yearly mean | -59.2% |
| 1993 | -0.0522 standard deviations from the yearly mean | -135.4% |
| 1994 | -0.1063 standard deviations from the yearly mean | +103.7% |
| 1995 | 0.1411 standard deviations from the yearly mean | -232.8% |
| 1996 | -0.1463 standard deviations from the yearly mean | -203.7% |
| 1997 | 0.3243 standard deviations from the yearly mean | -321.7% |
| 1998 | 0.1793 standard deviations from the yearly mean | -44.7% |
| 1999 | 0.2664 standard deviations from the yearly mean | +48.5% |
| 2000 | 0.254 standard deviations from the yearly mean | -4.6% |
| 2001 | 0.2616 standard deviations from the yearly mean | +3.0% |
| 2002 | 0.2045 standard deviations from the yearly mean | -21.8% |
| 2003 | 0.2154 standard deviations from the yearly mean | +5.3% |
| 2004 | 0.5908 standard deviations from the yearly mean | +174.2% |
| 2005 | 0.2738 standard deviations from the yearly mean | -53.7% |
| 2006 | 0.2973 standard deviations from the yearly mean | +8.6% |
| 2007 | 0.2962 standard deviations from the yearly mean | -0.4% |
| 2008 | 0.3281 standard deviations from the yearly mean | +10.8% |
| 2009 | 0.3429 standard deviations from the yearly mean | +4.5% |
| 2010 | 0.3636 standard deviations from the yearly mean | +6.1% |
| 2011 | 0.2353 standard deviations from the yearly mean | -35.3% |
| 2012 | 0.3534 standard deviations from the yearly mean | +50.2% |
| 2013 | 0.1993 standard deviations from the yearly mean | -43.6% |
| 2014 | 0.3079 standard deviations from the yearly mean | +54.5% |
| 2015 | 0.2737 standard deviations from the yearly mean | -11.1% |
| 2016 | 0.2303 standard deviations from the yearly mean | -15.8% |
| 2017 | 0.0277 standard deviations from the yearly mean | -88.0% |
| 2018 | 0.1542 standard deviations from the yearly mean | +457.4% |
| 2019 | 0.0986 standard deviations from the yearly mean | -36.0% |
| 2020 | -0.1263 standard deviations from the yearly mean | -228.1% |
| 2021 | -0.2234 standard deviations from the yearly mean | +76.9% |
| 2022 | 0.0243 standard deviations from the yearly mean | -110.9% |
| 2023 | 0.2354 standard deviations from the yearly mean | +869.0% |
| 2024 | 0.4513 standard deviations from the yearly mean | +91.7% |
Brazil compared with similar countries
- Brazil's 0.4513 standard deviations from the yearly mean is above the median for upper middle income countries, which is 0.1594 standard deviations from the yearly mean, 2.8× the median. (58 countries reporting)
- Brazil's 0.4513 standard deviations from the yearly mean is above the median for Latin America & Caribbean, which is 0.1689 standard deviations from the yearly mean, 2.7× the median. (33 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Brazil 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 |
|---|---|---|---|
| 2023 | +869.0% | 0.0243 standard deviations from the yearly mean | 0.2354 standard deviations from the yearly mean |
| 1991 | +724.7% | -0.0578 standard deviations from the yearly mean | 0.3609 standard deviations from the yearly mean |
| 1975 | +590.7% | -0.0489 standard deviations from the yearly mean | 0.2399 standard deviations from the yearly mean |
| 2018 | +457.4% | 0.0277 standard deviations from the yearly mean | 0.1542 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.0847 standard deviations from the yearly mean | -0.1009 standard deviations from the yearly mean | -0.0686 standard deviations from the yearly mean | 2 |
| 1970s | 0.0955 standard deviations from the yearly mean | -0.0489 standard deviations from the yearly mean | 0.2399 standard deviations from the yearly mean | 2 |
| 1980s | 0.2044 standard deviations from the yearly mean | -0.2579 standard deviations from the yearly mean | 0.5623 standard deviations from the yearly mean | 10 |
| 1990s | 0.1057 standard deviations from the yearly mean | -0.1463 standard deviations from the yearly mean | 0.3609 standard deviations from the yearly mean | 10 |
| 2000s | 0.3065 standard deviations from the yearly mean | 0.2045 standard deviations from the yearly mean | 0.5908 standard deviations from the yearly mean | 10 |
| 2010s | 0.2244 standard deviations from the yearly mean | 0.0277 standard deviations from the yearly mean | 0.3636 standard deviations from the yearly mean | 10 |
| 2020s | 0.0723 standard deviations from the yearly mean | -0.2234 standard deviations from the yearly mean | 0.4513 standard deviations from the yearly mean | 5 |
Countries ranked near Brazil
- 72 Mauritius 0.4765 standard deviations from the yearly mean compare
- 73 Bulgaria 0.4697 standard deviations from the yearly mean compare
- 74 Tonga 0.4619 standard deviations from the yearly mean compare
- 76 Peru 0.4405 standard deviations from the yearly mean compare
- 77 Uzbekistan 0.4226 standard deviations from the yearly mean compare
- 78 Russia 0.4139 standard deviations from the yearly mean compare
More health data for Brazil
- Un projection of annual infant deaths, annual growth rate -1.86 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.1539 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,496 deaths per 1,000 people (2090)
- Number of infants who die before age 1 3,476 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate -1.66 % 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 0.0296 units per person (2025)
- Population ages 00-04, male, annual growth rate -1.63 % 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 Brazil?
- Health system composite index in Brazil was 0.4513 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Brazil?
- The highest recorded value was 0.5908 standard deviations from the yearly mean in 2004.
- What is the lowest health system composite index recorded in Brazil?
- The lowest recorded value was -0.2579 standard deviations from the yearly mean in 1989.
- How does Brazil rank for health system composite index?
- Brazil ranks 75th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Brazil?
- Over the last ten years it is up 46.6%. The long-run trend across the full record is volatile.
- Where does this Brazil 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 — 49 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.