Human capital composite index in Tanzania
Tanzania: Human capital composite index was -0.7429 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Tanzania, 1970–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Tanzania recorded -0.7429 standard deviations from the yearly mean for human capital composite index in 2024.
The figure is down 130.5% on the previous year and up 28.9% over ten years.
Over the whole period, human capital composite index in Tanzania peaked at 0.2097 standard deviations from the yearly mean in 2008 and was at its lowest, -1.46 standard deviations from the yearly mean, in 1998.
That places Tanzania 176th out of 202 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Human capital composite index in Tanzania, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | -1.44 standard deviations from the yearly mean | — |
| 1971 | -1.14 standard deviations from the yearly mean | -21.1% |
| 1972 | -0.8641 standard deviations from the yearly mean | -24.1% |
| 1973 | -1.2 standard deviations from the yearly mean | +39.1% |
| 1974 | -1.26 standard deviations from the yearly mean | +4.8% |
| 1975 | -1.13 standard deviations from the yearly mean | -10.4% |
| 1976 | -0.9453 standard deviations from the yearly mean | -16.3% |
| 1977 | -0.8327 standard deviations from the yearly mean | -11.9% |
| 1978 | -0.5301 standard deviations from the yearly mean | -36.3% |
| 1979 | -0.5417 standard deviations from the yearly mean | +2.2% |
| 1980 | -0.6616 standard deviations from the yearly mean | +22.1% |
| 1981 | -0.5606 standard deviations from the yearly mean | -15.3% |
| 1982 | -0.7094 standard deviations from the yearly mean | +26.5% |
| 1983 | -0.7718 standard deviations from the yearly mean | +8.8% |
| 1984 | -0.9133 standard deviations from the yearly mean | +18.3% |
| 1985 | -1.12 standard deviations from the yearly mean | +22.4% |
| 1986 | -1.18 standard deviations from the yearly mean | +5.7% |
| 1987 | -1.23 standard deviations from the yearly mean | +4.0% |
| 1988 | -0.9072 standard deviations from the yearly mean | -26.2% |
| 1989 | -1.4 standard deviations from the yearly mean | +54.8% |
| 1990 | -1.32 standard deviations from the yearly mean | -6.3% |
| 1991 | -1.29 standard deviations from the yearly mean | -1.8% |
| 1992 | -1.3 standard deviations from the yearly mean | +0.6% |
| 1993 | -1.34 standard deviations from the yearly mean | +3.1% |
| 1994 | -1.4 standard deviations from the yearly mean | +4.5% |
| 1995 | -1.41 standard deviations from the yearly mean | +0.9% |
| 1996 | -1.45 standard deviations from the yearly mean | +2.7% |
| 1997 | -1.43 standard deviations from the yearly mean | -1.3% |
| 1998 | -1.46 standard deviations from the yearly mean | +1.7% |
| 2002 | -0.4227 standard deviations from the yearly mean | -71.0% |
| 2004 | -0.1421 standard deviations from the yearly mean | -66.4% |
| 2005 | -0.0521 standard deviations from the yearly mean | -63.3% |
| 2006 | -0.1429 standard deviations from the yearly mean | +174.4% |
| 2007 | 0.1863 standard deviations from the yearly mean | -230.4% |
| 2008 | 0.2097 standard deviations from the yearly mean | +12.5% |
| 2009 | -0.1596 standard deviations from the yearly mean | -176.1% |
| 2010 | -0.6285 standard deviations from the yearly mean | +293.8% |
| 2011 | -0.1885 standard deviations from the yearly mean | -70.0% |
| 2012 | -0.3691 standard deviations from the yearly mean | +95.8% |
| 2013 | -0.9742 standard deviations from the yearly mean | +163.9% |
| 2014 | -1.04 standard deviations from the yearly mean | +7.2% |
| 2015 | -0.9786 standard deviations from the yearly mean | -6.3% |
| 2016 | -1.25 standard deviations from the yearly mean | +27.8% |
| 2017 | -1.07 standard deviations from the yearly mean | -14.4% |
| 2018 | -1.06 standard deviations from the yearly mean | -0.7% |
| 2019 | -0.9935 standard deviations from the yearly mean | -6.6% |
| 2020 | -0.861 standard deviations from the yearly mean | -13.3% |
| 2021 | -1.06 standard deviations from the yearly mean | +23.3% |
| 2022 | -0.5849 standard deviations from the yearly mean | -44.9% |
| 2023 | -0.3223 standard deviations from the yearly mean | -44.9% |
| 2024 | -0.7429 standard deviations from the yearly mean | +130.5% |
Tanzania compared with similar countries
- Tanzania's -0.7429 standard deviations from the yearly mean is below the median for lower middle income countries, which is -0.2251 standard deviations from the yearly mean, 3.3× the median. (46 countries reporting)
- Tanzania's -0.7429 standard deviations from the yearly mean is below the median for Sub-Saharan Africa, which is -0.5172 standard deviations from the yearly mean, 1.4× the median. (47 countries reporting)
Biggest year-on-year movements
Years where Human capital 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 |
|---|---|---|---|
| 2010 | -293.8% | -0.1596 standard deviations from the yearly mean | -0.6285 standard deviations from the yearly mean |
| 2007 | +230.4% | -0.1429 standard deviations from the yearly mean | 0.1863 standard deviations from the yearly mean |
| 2006 | -174.4% | -0.0521 standard deviations from the yearly mean | -0.1429 standard deviations from the yearly mean |
| 2009 | -176.1% | 0.2097 standard deviations from the yearly mean | -0.1596 standard deviations from the yearly mean |
| 2013 | -163.9% | -0.3691 standard deviations from the yearly mean | -0.9742 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | -0.9886 standard deviations from the yearly mean | -1.44 standard deviations from the yearly mean | -0.5301 standard deviations from the yearly mean | 10 |
| 1980s | -0.9457 standard deviations from the yearly mean | -1.4 standard deviations from the yearly mean | -0.5606 standard deviations from the yearly mean | 10 |
| 1990s | -1.38 standard deviations from the yearly mean | -1.46 standard deviations from the yearly mean | -1.29 standard deviations from the yearly mean | 9 |
| 2000s | -0.0748 standard deviations from the yearly mean | -0.4227 standard deviations from the yearly mean | 0.2097 standard deviations from the yearly mean | 7 |
| 2010s | -0.8561 standard deviations from the yearly mean | -1.25 standard deviations from the yearly mean | -0.1885 standard deviations from the yearly mean | 10 |
| 2020s | -0.7145 standard deviations from the yearly mean | -1.06 standard deviations from the yearly mean | -0.3223 standard deviations from the yearly mean | 5 |
Countries ranked near Tanzania
- 173 Bermuda -0.6994 standard deviations from the yearly mean compare
- 174 Romania -0.7018 standard deviations from the yearly mean compare
- 175 Cote d'Ivoire -0.7036 standard deviations from the yearly mean compare
- 177 Comoros -0.8667 standard deviations from the yearly mean compare
- 178 San Marino -0.8872 standard deviations from the yearly mean compare
- 179 Benin -1 standard deviations from the yearly mean compare
More education data for Tanzania
- Teachers in secondary education, both sexes (number), gaps filled 106,006 (2020)
- Repeaters in primary education, all grades, both sexes (number), gaps 331,605 (2024)
- Enrolment in pre-primary education, male (number), gaps filled 851,911 (2024)
- Enrolment in pre-primary education, female (number), gaps filled 824,648 (2024)
- Secondary education, pupils, gaps filled 2.83 million (2021)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 11.39 million (2024)
- Primary education, pupils, annual growth rate -0.3307 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0.0001 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.1661 units per person (2024)
Frequently asked questions
- What is human capital composite index in Tanzania?
- Human capital composite index in Tanzania was -0.7429 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Tanzania?
- The highest recorded value was 0.2097 standard deviations from the yearly mean in 2008.
- What is the lowest human capital composite index recorded in Tanzania?
- The lowest recorded value was -1.46 standard deviations from the yearly mean in 1998.
- How does Tanzania rank for human capital composite index?
- Tanzania ranks 176th out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Tanzania?
- Over the last ten years it is up 28.9%. The long-run trend across the full record is volatile.
- Where does this Tanzania data come from?
- The figures come from Statizoid (derived), published as part of Human capital composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 51 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: Literacy rate, adult total; School enrollment, primary; School enrollment, secondary; Government expenditure on education, total. 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
- Literacy rate, adult total Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
- School enrollment, primary Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
- School enrollment, secondary Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
- Government expenditure on education, total Data API, UN Educational, Scientific and Cultural Organization (UNESCO)
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: Literacy rate, adult total; School enrollment, primary; School enrollment, secondary; Government expenditure on education, total. 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.