Human capital composite index in East Asia & Pacific (excluding high income)
East Asia & Pacific (excluding high income): Human capital composite index was 0.3237 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in East Asia & Pacific (excluding high income), 1970–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
East Asia & Pacific (excluding high income) recorded 0.3237 standard deviations from the yearly mean for human capital composite index in 2024.
That represents a change of up 139.6% on the previous year and up 207.3% over ten years.
Over the whole period, human capital composite index in East Asia & Pacific (excluding high income) peaked at 0.7175 standard deviations from the yearly mean in 1977 and was at its lowest, -0.0723 standard deviations from the yearly mean, in 2019.
That places East Asia & Pacific (excluding high income) 12th out of 43 groups 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.
Human capital composite index in East Asia & Pacific (excluding high income), year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | 0.6713 standard deviations from the yearly mean | — |
| 1971 | 0.4893 standard deviations from the yearly mean | -27.1% |
| 1972 | 0.513 standard deviations from the yearly mean | +4.8% |
| 1973 | 0.6395 standard deviations from the yearly mean | +24.7% |
| 1974 | 0.5837 standard deviations from the yearly mean | -8.7% |
| 1975 | 0.6602 standard deviations from the yearly mean | +13.1% |
| 1976 | 0.676 standard deviations from the yearly mean | +2.4% |
| 1977 | 0.7175 standard deviations from the yearly mean | +6.1% |
| 1978 | 0.6123 standard deviations from the yearly mean | -14.7% |
| 1979 | 0.5498 standard deviations from the yearly mean | -10.2% |
| 1980 | 0.3557 standard deviations from the yearly mean | -35.3% |
| 1981 | 0.3306 standard deviations from the yearly mean | -7.1% |
| 1982 | 0.3397 standard deviations from the yearly mean | +2.8% |
| 1983 | 0.3378 standard deviations from the yearly mean | -0.6% |
| 1984 | 0.3614 standard deviations from the yearly mean | +7.0% |
| 1985 | 0.4081 standard deviations from the yearly mean | +12.9% |
| 1986 | 0.5251 standard deviations from the yearly mean | +28.7% |
| 1987 | 0.6605 standard deviations from the yearly mean | +25.8% |
| 1988 | 0.717 standard deviations from the yearly mean | +8.5% |
| 1989 | 0.6043 standard deviations from the yearly mean | -15.7% |
| 1990 | 0.4918 standard deviations from the yearly mean | -18.6% |
| 1991 | 0.4837 standard deviations from the yearly mean | -1.6% |
| 1992 | 0.4913 standard deviations from the yearly mean | +1.6% |
| 1993 | 0.4846 standard deviations from the yearly mean | -1.4% |
| 1994 | 0.4723 standard deviations from the yearly mean | -2.5% |
| 1995 | 0.1047 standard deviations from the yearly mean | -77.8% |
| 1996 | 0.1778 standard deviations from the yearly mean | +69.8% |
| 1997 | 0.4215 standard deviations from the yearly mean | +137.1% |
| 1998 | 0.6548 standard deviations from the yearly mean | +55.3% |
| 1999 | 0.5965 standard deviations from the yearly mean | -8.9% |
| 2000 | 0.4017 standard deviations from the yearly mean | -32.7% |
| 2001 | 0.1562 standard deviations from the yearly mean | -61.1% |
| 2002 | 0.1902 standard deviations from the yearly mean | +21.8% |
| 2003 | 0.39 standard deviations from the yearly mean | +105.1% |
| 2004 | 0.094 standard deviations from the yearly mean | -75.9% |
| 2005 | 0.3321 standard deviations from the yearly mean | +253.1% |
| 2006 | 0.3318 standard deviations from the yearly mean | -0.1% |
| 2007 | 0.0811 standard deviations from the yearly mean | -75.5% |
| 2008 | 0.1655 standard deviations from the yearly mean | +103.9% |
| 2009 | 0.2019 standard deviations from the yearly mean | +22.0% |
| 2010 | 0.2134 standard deviations from the yearly mean | +5.7% |
| 2011 | 0.2357 standard deviations from the yearly mean | +10.4% |
| 2012 | 0.3617 standard deviations from the yearly mean | +53.5% |
| 2013 | 0.2926 standard deviations from the yearly mean | -19.1% |
| 2014 | 0.1053 standard deviations from the yearly mean | -64.0% |
| 2015 | 0.0873 standard deviations from the yearly mean | -17.1% |
| 2016 | 0.0338 standard deviations from the yearly mean | -61.3% |
| 2017 | 0.0622 standard deviations from the yearly mean | +84.1% |
| 2018 | -0.0539 standard deviations from the yearly mean | -186.6% |
| 2019 | -0.0723 standard deviations from the yearly mean | +34.1% |
| 2020 | 0.0197 standard deviations from the yearly mean | -127.3% |
| 2021 | 0.0564 standard deviations from the yearly mean | +185.7% |
| 2022 | -0.0274 standard deviations from the yearly mean | -148.6% |
| 2023 | 0.1351 standard deviations from the yearly mean | -592.8% |
| 2024 | 0.3237 standard deviations from the yearly mean | +139.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.6113 standard deviations from the yearly mean | 0.4893 standard deviations from the yearly mean | 0.7175 standard deviations from the yearly mean | 10 |
| 1980s | 0.464 standard deviations from the yearly mean | 0.3306 standard deviations from the yearly mean | 0.717 standard deviations from the yearly mean | 10 |
| 1990s | 0.4379 standard deviations from the yearly mean | 0.1047 standard deviations from the yearly mean | 0.6548 standard deviations from the yearly mean | 10 |
| 2000s | 0.2345 standard deviations from the yearly mean | 0.0811 standard deviations from the yearly mean | 0.4017 standard deviations from the yearly mean | 10 |
| 2010s | 0.1266 standard deviations from the yearly mean | -0.0723 standard deviations from the yearly mean | 0.3617 standard deviations from the yearly mean | 10 |
| 2020s | 0.1015 standard deviations from the yearly mean | -0.0274 standard deviations from the yearly mean | 0.3237 standard deviations from the yearly mean | 5 |
Countries ranked near East Asia & Pacific (excluding high income)
- 9 Algeria 1.24 standard deviations from the yearly mean compare
- 10 Belgium 1.22 standard deviations from the yearly mean compare
- 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 Timor-Leste 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
More education data for East Asia & Pacific (excluding high income)
- Primary education, teachers, gaps filled 10.13 million (2024)
- Population ages 0-14 18.2% (2025)
- Population ages 15-64 69.1% (2025)
- School enrollment, primary 100.0% (2024)
- Primary education, teachers, per capita 0.0047 units per person (2024)
- Primary education, teachers 10.13 million (2024)
- Primary education, teachers, per unit of GDP 0 units per US$ of GDP (2024)
- School enrollment, primary, female 100.0% (2024)
- School enrollment, primary, male 99.9% (2024)
- Labor force, total 1.15 billion (2025)
Frequently asked questions
- What is human capital composite index in East Asia & Pacific (excluding high income)?
- Human capital composite index in East Asia & Pacific (excluding high income) was 0.3237 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in East Asia & Pacific (excluding high income)?
- The highest recorded value was 0.7175 standard deviations from the yearly mean in 1977.
- What is the lowest human capital composite index recorded in East Asia & Pacific (excluding high income)?
- The lowest recorded value was -0.0723 standard deviations from the yearly mean in 2019.
- How does East Asia & Pacific (excluding high income) rank for human capital composite index?
- East Asia & Pacific (excluding high income) ranks 12th out of 43 groups with data for 2024.
- Is human capital composite index rising or falling in East Asia & Pacific (excluding high income)?
- Over the last ten years it is up 207.3%. The long-run trend across the full record is volatile.
- Where does this East Asia & Pacific (excluding 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 — 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.