Human capital composite index in High income
High income: Human capital composite index was 0.3007 standard deviations from the yearly mean in 2024. ▼ Falling
Human capital composite index in High income, 1999–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for human capital composite index in High income is 0.3007 standard deviations from the yearly mean, measured in 2024.
That represents a change of down 6.3% on the previous year and down 4.5% over ten years.
Over the whole period, human capital composite index in High income peaked at 0.6776 standard deviations from the yearly mean in 1999 and was at its lowest, 0.2683 standard deviations from the yearly mean, in 2020.
High income ranks 14th of 43 groups on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 26 years of available data.
Human capital composite index in High income, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1999 | 0.6776 standard deviations from the yearly mean | — |
| 2000 | 0.6507 standard deviations from the yearly mean | -4.0% |
| 2001 | 0.5298 standard deviations from the yearly mean | -18.6% |
| 2002 | 0.4742 standard deviations from the yearly mean | -10.5% |
| 2003 | 0.423 standard deviations from the yearly mean | -10.8% |
| 2004 | 0.5291 standard deviations from the yearly mean | +25.1% |
| 2005 | 0.4292 standard deviations from the yearly mean | -18.9% |
| 2006 | 0.4656 standard deviations from the yearly mean | +8.5% |
| 2007 | 0.3905 standard deviations from the yearly mean | -16.1% |
| 2008 | 0.3729 standard deviations from the yearly mean | -4.5% |
| 2009 | 0.3397 standard deviations from the yearly mean | -8.9% |
| 2010 | 0.4125 standard deviations from the yearly mean | +21.4% |
| 2011 | 0.3952 standard deviations from the yearly mean | -4.2% |
| 2012 | 0.3624 standard deviations from the yearly mean | -8.3% |
| 2013 | 0.3181 standard deviations from the yearly mean | -12.2% |
| 2014 | 0.3148 standard deviations from the yearly mean | -1.0% |
| 2015 | 0.3206 standard deviations from the yearly mean | +1.8% |
| 2016 | 0.2849 standard deviations from the yearly mean | -11.1% |
| 2017 | 0.3281 standard deviations from the yearly mean | +15.2% |
| 2018 | 0.3168 standard deviations from the yearly mean | -3.4% |
| 2019 | 0.314 standard deviations from the yearly mean | -0.9% |
| 2020 | 0.2683 standard deviations from the yearly mean | -14.6% |
| 2021 | 0.2819 standard deviations from the yearly mean | +5.1% |
| 2022 | 0.2758 standard deviations from the yearly mean | -2.2% |
| 2023 | 0.3208 standard deviations from the yearly mean | +16.3% |
| 2024 | 0.3007 standard deviations from the yearly mean | -6.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.6776 standard deviations from the yearly mean | 0.6776 standard deviations from the yearly mean | 0.6776 standard deviations from the yearly mean | 1 |
| 2000s | 0.4605 standard deviations from the yearly mean | 0.3397 standard deviations from the yearly mean | 0.6507 standard deviations from the yearly mean | 10 |
| 2010s | 0.3367 standard deviations from the yearly mean | 0.2849 standard deviations from the yearly mean | 0.4125 standard deviations from the yearly mean | 10 |
| 2020s | 0.2895 standard deviations from the yearly mean | 0.2683 standard deviations from the yearly mean | 0.3208 standard deviations from the yearly mean | 5 |
Countries ranked near High income
- 11 Netherlands 1.19 standard deviations from the yearly mean compare
- 12 Saint Kitts and Nevis 1.19 standard deviations from the yearly mean compare
- 13 East Timor 1.15 standard deviations from the yearly mean compare
- 14 Portugal 1.12 standard deviations from the yearly mean compare
- 15 Aruba 1.1 standard deviations from the yearly mean compare
- 16 Finland 1.1 standard deviations from the yearly mean compare
- 17 Mauritania 1.06 standard deviations from the yearly mean compare
More education data for High income
- Primary education, teachers, gaps filled 6.16 million (2024)
- Secondary education, pupils, gaps filled 106.52 million (2024)
- Primary education, pupils, annual growth rate -0.0283 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.0593 units per person (2024)
- Secondary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Population ages 15-64 64.5% (2025)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Population ages 0-14 15.5% (2025)
- Primary education, pupils, gaps filled 84.04 million (2024)
Frequently asked questions
- What is human capital composite index in High income?
- Human capital composite index in High income was 0.3007 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in High income?
- The highest recorded value was 0.6776 standard deviations from the yearly mean in 1999.
- What is the lowest human capital composite index recorded in High income?
- The lowest recorded value was 0.2683 standard deviations from the yearly mean in 2020.
- How does High income rank for human capital composite index?
- High income ranks 14th out of 43 groups with data for 2024.
- Is human capital composite index rising or falling in High income?
- Over the last ten years it is down 4.5%. The long-run trend across the full record is falling.
- Where does this High 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 — 26 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.