Human capital composite index in Upper middle income
Upper middle income: Human capital composite index was 0.4041 standard deviations from the yearly mean in 2024. ▼ Falling
Human capital composite index in Upper middle income, 1970–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for human capital composite index in Upper middle income is 0.4041 standard deviations from the yearly mean, measured in 2024.
Compared with earlier readings it is up 49.9% on the previous year and up 63.0% over ten years.
Over the whole period, human capital composite index in Upper middle income peaked at 0.7924 standard deviations from the yearly mean in 1988 and was at its lowest, 0.1791 standard deviations from the yearly mean, in 2016.
That places Upper middle income 7th out of 43 groups with data for 2024, putting it in the top quarter.
The long-run direction has been consistently falling across the 55 years of available data.
Human capital composite index in Upper middle income, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | 0.7873 standard deviations from the yearly mean | — |
| 1971 | 0.3776 standard deviations from the yearly mean | -52.0% |
| 1972 | 0.4061 standard deviations from the yearly mean | +7.6% |
| 1973 | 0.5075 standard deviations from the yearly mean | +25.0% |
| 1974 | 0.4815 standard deviations from the yearly mean | -5.1% |
| 1975 | 0.6022 standard deviations from the yearly mean | +25.1% |
| 1976 | 0.572 standard deviations from the yearly mean | -5.0% |
| 1977 | 0.627 standard deviations from the yearly mean | +9.6% |
| 1978 | 0.5524 standard deviations from the yearly mean | -11.9% |
| 1979 | 0.6485 standard deviations from the yearly mean | +17.4% |
| 1980 | 0.4838 standard deviations from the yearly mean | -25.4% |
| 1981 | 0.4228 standard deviations from the yearly mean | -12.6% |
| 1982 | 0.4656 standard deviations from the yearly mean | +10.1% |
| 1983 | 0.448 standard deviations from the yearly mean | -3.8% |
| 1984 | 0.4879 standard deviations from the yearly mean | +8.9% |
| 1985 | 0.4707 standard deviations from the yearly mean | -3.5% |
| 1986 | 0.6044 standard deviations from the yearly mean | +28.4% |
| 1987 | 0.7382 standard deviations from the yearly mean | +22.1% |
| 1988 | 0.7924 standard deviations from the yearly mean | +7.3% |
| 1989 | 0.6858 standard deviations from the yearly mean | -13.5% |
| 1990 | 0.6191 standard deviations from the yearly mean | -9.7% |
| 1991 | 0.5938 standard deviations from the yearly mean | -4.1% |
| 1992 | 0.604 standard deviations from the yearly mean | +1.7% |
| 1993 | 0.6038 standard deviations from the yearly mean | -0.0% |
| 1994 | 0.5905 standard deviations from the yearly mean | -2.2% |
| 1995 | 0.6127 standard deviations from the yearly mean | +3.8% |
| 1996 | 0.6104 standard deviations from the yearly mean | -0.4% |
| 1997 | 0.7224 standard deviations from the yearly mean | +18.3% |
| 1998 | 0.7289 standard deviations from the yearly mean | +0.9% |
| 1999 | 0.4728 standard deviations from the yearly mean | -35.1% |
| 2000 | 0.417 standard deviations from the yearly mean | -11.8% |
| 2001 | 0.3866 standard deviations from the yearly mean | -7.3% |
| 2002 | 0.3605 standard deviations from the yearly mean | -6.8% |
| 2003 | 0.2744 standard deviations from the yearly mean | -23.9% |
| 2004 | 0.3684 standard deviations from the yearly mean | +34.2% |
| 2005 | 0.3147 standard deviations from the yearly mean | -14.6% |
| 2006 | 0.2898 standard deviations from the yearly mean | -7.9% |
| 2007 | 0.3121 standard deviations from the yearly mean | +7.7% |
| 2008 | 0.3024 standard deviations from the yearly mean | -3.1% |
| 2009 | 0.3672 standard deviations from the yearly mean | +21.4% |
| 2010 | 0.2929 standard deviations from the yearly mean | -20.2% |
| 2011 | 0.3243 standard deviations from the yearly mean | +10.7% |
| 2012 | 0.395 standard deviations from the yearly mean | +21.8% |
| 2013 | 0.3602 standard deviations from the yearly mean | -8.8% |
| 2014 | 0.2479 standard deviations from the yearly mean | -31.2% |
| 2015 | 0.2229 standard deviations from the yearly mean | -10.1% |
| 2016 | 0.1791 standard deviations from the yearly mean | -19.7% |
| 2017 | 0.2194 standard deviations from the yearly mean | +22.5% |
| 2018 | 0.2122 standard deviations from the yearly mean | -3.3% |
| 2019 | 0.2059 standard deviations from the yearly mean | -2.9% |
| 2020 | 0.2228 standard deviations from the yearly mean | +8.2% |
| 2021 | 0.2277 standard deviations from the yearly mean | +2.2% |
| 2022 | 0.2039 standard deviations from the yearly mean | -10.4% |
| 2023 | 0.2696 standard deviations from the yearly mean | +32.2% |
| 2024 | 0.4041 standard deviations from the yearly mean | +49.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.5562 standard deviations from the yearly mean | 0.3776 standard deviations from the yearly mean | 0.7873 standard deviations from the yearly mean | 10 |
| 1980s | 0.56 standard deviations from the yearly mean | 0.4228 standard deviations from the yearly mean | 0.7924 standard deviations from the yearly mean | 10 |
| 1990s | 0.6158 standard deviations from the yearly mean | 0.4728 standard deviations from the yearly mean | 0.7289 standard deviations from the yearly mean | 10 |
| 2000s | 0.3393 standard deviations from the yearly mean | 0.2744 standard deviations from the yearly mean | 0.417 standard deviations from the yearly mean | 10 |
| 2010s | 0.266 standard deviations from the yearly mean | 0.1791 standard deviations from the yearly mean | 0.395 standard deviations from the yearly mean | 10 |
| 2020s | 0.2656 standard deviations from the yearly mean | 0.2039 standard deviations from the yearly mean | 0.4041 standard deviations from the yearly mean | 5 |
Countries ranked near Upper middle income
- 4 Sweden 1.57 standard deviations from the yearly mean compare
- 5 Vanuatu 1.38 standard deviations from the yearly mean compare
- 6 Sierra Leone 1.37 standard deviations from the yearly mean compare
- 7 Namibia 1.35 standard deviations from the yearly mean compare
- 8 Saint Vincent and the Grenadines 1.27 standard deviations from the yearly mean compare
- 9 Algeria 1.24 standard deviations from the yearly mean compare
- 10 Belgium 1.22 standard deviations from the yearly mean compare
More education data for Upper middle income
- Primary education, pupils, gaps filled 237.35 million (2024)
- Population ages 15-64 68.5% (2025)
- Population ages 0-14 19.6% (2025)
- Secondary education, pupils, gaps filled 233.28 million (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Secondary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, per capita 0.0774 units per person (2024)
- Primary education, teachers, gaps filled 13.41 million (2024)
- Primary education, pupils, annual growth rate 0.5256 % change on previous year (2024)
Frequently asked questions
- What is human capital composite index in Upper middle income?
- Human capital composite index in Upper middle income was 0.4041 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Upper middle income?
- The highest recorded value was 0.7924 standard deviations from the yearly mean in 1988.
- What is the lowest human capital composite index recorded in Upper middle income?
- The lowest recorded value was 0.1791 standard deviations from the yearly mean in 2016.
- How does Upper middle income rank for human capital composite index?
- Upper middle income ranks 7th out of 43 groups with data for 2024.
- Is human capital composite index rising or falling in Upper middle income?
- Over the last ten years it is up 63.0%. The long-run trend across the full record is falling.
- Where does this Upper middle income 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 — 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: 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.