Health system composite index in Peru
Peru: Health system composite index was 0.4405 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Peru, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Peru stood at 0.4405 standard deviations from the yearly mean.
The figure is up 581.1% on the previous year and up 4,343.5% over ten years.
Over the whole period, health system composite index in Peru peaked at 0.5999 standard deviations from the yearly mean in 2001 and was at its lowest, -0.5763 standard deviations from the yearly mean, in 1979.
That places Peru 76th 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 Peru, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | -0.1237 standard deviations from the yearly mean | — |
| 1965 | 0.0298 standard deviations from the yearly mean | -124.1% |
| 1970 | -0.4787 standard deviations from the yearly mean | -1708.0% |
| 1975 | -0.1714 standard deviations from the yearly mean | -64.2% |
| 1979 | -0.5763 standard deviations from the yearly mean | +236.1% |
| 1980 | -0.2928 standard deviations from the yearly mean | -49.2% |
| 1981 | -0.2173 standard deviations from the yearly mean | -25.8% |
| 1982 | -0.2903 standard deviations from the yearly mean | +33.6% |
| 1983 | -0.4329 standard deviations from the yearly mean | +49.1% |
| 1984 | -0.272 standard deviations from the yearly mean | -37.2% |
| 1985 | -0.4054 standard deviations from the yearly mean | +49.1% |
| 1986 | -0.4427 standard deviations from the yearly mean | +9.2% |
| 1987 | -0.3689 standard deviations from the yearly mean | -16.7% |
| 1988 | -0.4353 standard deviations from the yearly mean | +18.0% |
| 1989 | -0.464 standard deviations from the yearly mean | +6.6% |
| 1990 | -0.4364 standard deviations from the yearly mean | -6.0% |
| 1991 | -0.034 standard deviations from the yearly mean | -92.2% |
| 1992 | -0.3478 standard deviations from the yearly mean | +922.6% |
| 1993 | -0.3675 standard deviations from the yearly mean | +5.6% |
| 1994 | -0.3969 standard deviations from the yearly mean | +8.0% |
| 1995 | 0.2728 standard deviations from the yearly mean | -168.7% |
| 1996 | -0.1254 standard deviations from the yearly mean | -146.0% |
| 1997 | 0.0815 standard deviations from the yearly mean | -165.0% |
| 1998 | 0.4885 standard deviations from the yearly mean | +499.7% |
| 1999 | 0.0994 standard deviations from the yearly mean | -79.7% |
| 2000 | 0.5996 standard deviations from the yearly mean | +503.5% |
| 2001 | 0.5999 standard deviations from the yearly mean | +0.0% |
| 2002 | 0.5615 standard deviations from the yearly mean | -6.4% |
| 2003 | 0.564 standard deviations from the yearly mean | +0.4% |
| 2004 | 0.2279 standard deviations from the yearly mean | -59.6% |
| 2005 | -0.0476 standard deviations from the yearly mean | -120.9% |
| 2006 | 0.4592 standard deviations from the yearly mean | -1065.6% |
| 2007 | 0.2051 standard deviations from the yearly mean | -55.3% |
| 2008 | 0.3914 standard deviations from the yearly mean | +90.8% |
| 2009 | 0.0177 standard deviations from the yearly mean | -95.5% |
| 2010 | 0.421 standard deviations from the yearly mean | +2284.9% |
| 2011 | 0.129 standard deviations from the yearly mean | -69.4% |
| 2012 | -0.1011 standard deviations from the yearly mean | -178.4% |
| 2013 | -0.1372 standard deviations from the yearly mean | +35.7% |
| 2014 | 0.0099 standard deviations from the yearly mean | -107.2% |
| 2015 | 0.0822 standard deviations from the yearly mean | +729.0% |
| 2016 | -0.1163 standard deviations from the yearly mean | -241.5% |
| 2017 | -0.0182 standard deviations from the yearly mean | -84.3% |
| 2018 | -0.1516 standard deviations from the yearly mean | +731.5% |
| 2019 | -0.2128 standard deviations from the yearly mean | +40.4% |
| 2020 | -0.3539 standard deviations from the yearly mean | +66.3% |
| 2021 | -0.3528 standard deviations from the yearly mean | -0.3% |
| 2022 | -0.3093 standard deviations from the yearly mean | -12.3% |
| 2023 | -0.0916 standard deviations from the yearly mean | -70.4% |
| 2024 | 0.4405 standard deviations from the yearly mean | -581.1% |
Peru compared with similar countries
- Peru's 0.4405 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)
- Peru's 0.4405 standard deviations from the yearly mean is above the median for Latin America & Caribbean, which is 0.1689 standard deviations from the yearly mean, 2.6× the median. (33 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Peru 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 |
|---|---|---|---|
| 2010 | +2284.9% | 0.0177 standard deviations from the yearly mean | 0.421 standard deviations from the yearly mean |
| 1970 | -1708.0% | 0.0298 standard deviations from the yearly mean | -0.4787 standard deviations from the yearly mean |
| 2006 | +1065.6% | -0.0476 standard deviations from the yearly mean | 0.4592 standard deviations from the yearly mean |
| 1992 | -922.6% | -0.034 standard deviations from the yearly mean | -0.3478 standard deviations from the yearly mean |
| 2015 | +729.0% | 0.0099 standard deviations from the yearly mean | 0.0822 standard deviations from the yearly mean |
| 2018 | -731.5% | -0.0182 standard deviations from the yearly mean | -0.1516 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.0469 standard deviations from the yearly mean | -0.1237 standard deviations from the yearly mean | 0.0298 standard deviations from the yearly mean | 2 |
| 1970s | -0.4088 standard deviations from the yearly mean | -0.5763 standard deviations from the yearly mean | -0.1714 standard deviations from the yearly mean | 3 |
| 1980s | -0.3622 standard deviations from the yearly mean | -0.464 standard deviations from the yearly mean | -0.2173 standard deviations from the yearly mean | 10 |
| 1990s | -0.0766 standard deviations from the yearly mean | -0.4364 standard deviations from the yearly mean | 0.4885 standard deviations from the yearly mean | 10 |
| 2000s | 0.3579 standard deviations from the yearly mean | -0.0476 standard deviations from the yearly mean | 0.5999 standard deviations from the yearly mean | 10 |
| 2010s | -0.0095 standard deviations from the yearly mean | -0.2128 standard deviations from the yearly mean | 0.421 standard deviations from the yearly mean | 10 |
| 2020s | -0.1334 standard deviations from the yearly mean | -0.3539 standard deviations from the yearly mean | 0.4405 standard deviations from the yearly mean | 5 |
Countries ranked near Peru
- 73 Bulgaria 0.4697 standard deviations from the yearly mean compare
- 74 Tonga 0.4619 standard deviations from the yearly mean compare
- 75 Brazil 0.4513 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
- 79 Macao 0.4016 standard deviations from the yearly mean compare
More health data for Peru
- Un projection of annual infant deaths, annual growth rate -1.88 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.5045 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,235 deaths per 1,000 people (2090)
- Number of infants who die before age 1 782 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 2 (2025)
- Population ages 00-04, female, annual growth rate -0.3081 % 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 0.038 units per person (2025)
- Population ages 00-04, male, annual growth rate -0.302 % 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 Peru?
- Health system composite index in Peru was 0.4405 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Peru?
- The highest recorded value was 0.5999 standard deviations from the yearly mean in 2001.
- What is the lowest health system composite index recorded in Peru?
- The lowest recorded value was -0.5763 standard deviations from the yearly mean in 1979.
- How does Peru rank for health system composite index?
- Peru ranks 76th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Peru?
- Over the last ten years it is up 4,343.5%. The long-run trend across the full record is volatile.
- Where does this Peru 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 — 50 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.