Health system composite index in Tanzania
Tanzania: Health system composite index was -0.5232 standard deviations from the yearly mean in 2024. ▲ Rising
Health system composite index in Tanzania, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Tanzania is -0.5232 standard deviations from the yearly mean, measured in 2024.
Compared with earlier readings it is down 4.2% on the previous year and up 15.1% over ten years.
Over the whole period, health system composite index in Tanzania peaked at 0.2452 standard deviations from the yearly mean in 1986 and was at its lowest, -0.9371 standard deviations from the yearly mean, in 1975.
That places Tanzania 148th out of 196 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 49 years of available data.
Health system composite index in Tanzania, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | -0.8082 standard deviations from the yearly mean | — |
| 1965 | -0.9204 standard deviations from the yearly mean | +13.9% |
| 1970 | -0.925 standard deviations from the yearly mean | +0.5% |
| 1975 | -0.9371 standard deviations from the yearly mean | +1.3% |
| 1980 | -0.5195 standard deviations from the yearly mean | -44.6% |
| 1981 | -0.2392 standard deviations from the yearly mean | -54.0% |
| 1982 | -0.725 standard deviations from the yearly mean | +203.1% |
| 1983 | -0.2261 standard deviations from the yearly mean | -68.8% |
| 1984 | -0.8499 standard deviations from the yearly mean | +276.0% |
| 1985 | -0.5482 standard deviations from the yearly mean | -35.5% |
| 1986 | 0.2452 standard deviations from the yearly mean | -144.7% |
| 1987 | -0.6331 standard deviations from the yearly mean | -358.1% |
| 1988 | -0.6045 standard deviations from the yearly mean | -4.5% |
| 1989 | -0.4588 standard deviations from the yearly mean | -24.1% |
| 1990 | -0.6331 standard deviations from the yearly mean | +38.0% |
| 1991 | -0.5296 standard deviations from the yearly mean | -16.4% |
| 1992 | -0.7694 standard deviations from the yearly mean | +45.3% |
| 1993 | -0.6703 standard deviations from the yearly mean | -12.9% |
| 1994 | -0.8789 standard deviations from the yearly mean | +31.1% |
| 1995 | -0.9064 standard deviations from the yearly mean | +3.1% |
| 1996 | -0.7947 standard deviations from the yearly mean | -12.3% |
| 1997 | -0.931 standard deviations from the yearly mean | +17.2% |
| 1998 | -0.9212 standard deviations from the yearly mean | -1.0% |
| 1999 | -0.9359 standard deviations from the yearly mean | +1.6% |
| 2000 | -0.7856 standard deviations from the yearly mean | -16.1% |
| 2001 | -0.5694 standard deviations from the yearly mean | -27.5% |
| 2002 | -0.7855 standard deviations from the yearly mean | +38.0% |
| 2003 | -0.2104 standard deviations from the yearly mean | -73.2% |
| 2004 | -0.296 standard deviations from the yearly mean | +40.7% |
| 2005 | -0.3824 standard deviations from the yearly mean | +29.2% |
| 2006 | -0.3194 standard deviations from the yearly mean | -16.5% |
| 2007 | -0.4217 standard deviations from the yearly mean | +32.0% |
| 2008 | -0.5005 standard deviations from the yearly mean | +18.7% |
| 2009 | -0.5866 standard deviations from the yearly mean | +17.2% |
| 2010 | -0.5483 standard deviations from the yearly mean | -6.5% |
| 2011 | -0.512 standard deviations from the yearly mean | -6.6% |
| 2012 | -0.5411 standard deviations from the yearly mean | +5.7% |
| 2013 | -0.3131 standard deviations from the yearly mean | -42.1% |
| 2014 | -0.6165 standard deviations from the yearly mean | +96.9% |
| 2015 | -0.1749 standard deviations from the yearly mean | -71.6% |
| 2016 | -0.7974 standard deviations from the yearly mean | +355.9% |
| 2017 | -0.3237 standard deviations from the yearly mean | -59.4% |
| 2018 | -0.7754 standard deviations from the yearly mean | +139.6% |
| 2019 | -0.5986 standard deviations from the yearly mean | -22.8% |
| 2020 | -0.552 standard deviations from the yearly mean | -7.8% |
| 2021 | -0.6761 standard deviations from the yearly mean | +22.5% |
| 2022 | -0.7441 standard deviations from the yearly mean | +10.0% |
| 2023 | -0.5022 standard deviations from the yearly mean | -32.5% |
| 2024 | -0.5232 standard deviations from the yearly mean | +4.2% |
Tanzania compared with similar countries
- Tanzania's -0.5232 standard deviations from the yearly mean is above the median for lower middle income countries, which is -0.5991 standard deviations from the yearly mean, 87% of the median. (47 countries reporting)
- Tanzania's -0.5232 standard deviations from the yearly mean is above the median for Sub-Saharan Africa, which is -0.9444 standard deviations from the yearly mean, 55% of the median. (48 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Tanzania 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 |
|---|---|---|---|
| 1987 | -358.1% | 0.2452 standard deviations from the yearly mean | -0.6331 standard deviations from the yearly mean |
| 2016 | -355.9% | -0.1749 standard deviations from the yearly mean | -0.7974 standard deviations from the yearly mean |
| 1984 | -276.0% | -0.2261 standard deviations from the yearly mean | -0.8499 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.8643 standard deviations from the yearly mean | -0.9204 standard deviations from the yearly mean | -0.8082 standard deviations from the yearly mean | 2 |
| 1970s | -0.931 standard deviations from the yearly mean | -0.9371 standard deviations from the yearly mean | -0.925 standard deviations from the yearly mean | 2 |
| 1980s | -0.4559 standard deviations from the yearly mean | -0.8499 standard deviations from the yearly mean | 0.2452 standard deviations from the yearly mean | 10 |
| 1990s | -0.797 standard deviations from the yearly mean | -0.9359 standard deviations from the yearly mean | -0.5296 standard deviations from the yearly mean | 10 |
| 2000s | -0.4857 standard deviations from the yearly mean | -0.7856 standard deviations from the yearly mean | -0.2104 standard deviations from the yearly mean | 10 |
| 2010s | -0.5201 standard deviations from the yearly mean | -0.7974 standard deviations from the yearly mean | -0.1749 standard deviations from the yearly mean | 10 |
| 2020s | -0.5995 standard deviations from the yearly mean | -0.7441 standard deviations from the yearly mean | -0.5022 standard deviations from the yearly mean | 5 |
Countries ranked near Tanzania
- 145 Philippines -0.4749 standard deviations from the yearly mean compare
- 146 Azerbaijan -0.4763 standard deviations from the yearly mean compare
- 147 Solomon Islands -0.4955 standard deviations from the yearly mean compare
- 149 Zimbabwe -0.5991 standard deviations from the yearly mean compare
- 150 Venezuela -0.6141 standard deviations from the yearly mean compare
- 151 Kenya -0.6182 standard deviations from the yearly mean compare
More health data for Tanzania
- Un projection of annual infant deaths, annual growth rate -1.03 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.7342 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 658.6 deaths per 1,000 people (2090)
- Number of infants who die before age 1 32,514 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 13 (2025)
- Population ages 00-04, female, annual growth rate 1.86 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0786 units per person (2025)
- Population ages 00-04, male, annual growth rate 1.89 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0.0001 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Tanzania?
- Health system composite index in Tanzania was -0.5232 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Tanzania?
- The highest recorded value was 0.2452 standard deviations from the yearly mean in 1986.
- What is the lowest health system composite index recorded in Tanzania?
- The lowest recorded value was -0.9371 standard deviations from the yearly mean in 1975.
- How does Tanzania rank for health system composite index?
- Tanzania ranks 148th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Tanzania?
- Over the last ten years it is up 15.1%. The long-run trend across the full record is rising.
- Where does this Tanzania 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.