Human capital composite index in China
China: Human capital composite index was -0.0154 standard deviations from the yearly mean in 2023. ◆ Volatile
Human capital composite index in China, 1970–2023
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
China recorded -0.0154 standard deviations from the yearly mean for human capital composite index in 2023.
That represents a change of down 104.8% on the previous year and down 105.9% over ten years.
Over the whole period, human capital composite index in China peaked at 0.7669 standard deviations from the yearly mean in 1970 and was at its lowest, -0.6482 standard deviations from the yearly mean, in 1999.
That places China 119th out of 202 countries with data for 2023, 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 China, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | 0.7669 standard deviations from the yearly mean | — |
| 1971 | -0.0524 standard deviations from the yearly mean | -106.8% |
| 1972 | 0.3272 standard deviations from the yearly mean | -725.1% |
| 1973 | 0.1468 standard deviations from the yearly mean | -55.1% |
| 1974 | 0.0808 standard deviations from the yearly mean | -45.0% |
| 1975 | 0.1449 standard deviations from the yearly mean | +79.3% |
| 1976 | 0.1458 standard deviations from the yearly mean | +0.6% |
| 1977 | 0.083 standard deviations from the yearly mean | -43.1% |
| 1978 | 0.0651 standard deviations from the yearly mean | -21.5% |
| 1979 | 0.0568 standard deviations from the yearly mean | -12.8% |
| 1980 | -0.136 standard deviations from the yearly mean | -339.6% |
| 1981 | -0.2157 standard deviations from the yearly mean | +58.6% |
| 1982 | -0.1431 standard deviations from the yearly mean | -33.7% |
| 1983 | -0.2273 standard deviations from the yearly mean | +58.8% |
| 1984 | -0.1913 standard deviations from the yearly mean | -15.8% |
| 1985 | -0.1147 standard deviations from the yearly mean | -40.0% |
| 1986 | -0.1006 standard deviations from the yearly mean | -12.3% |
| 1987 | -0.0515 standard deviations from the yearly mean | -48.8% |
| 1988 | -0.093 standard deviations from the yearly mean | +80.5% |
| 1989 | 0.6315 standard deviations from the yearly mean | -779.1% |
| 1990 | 0.4788 standard deviations from the yearly mean | -24.2% |
| 1991 | 0.3744 standard deviations from the yearly mean | -21.8% |
| 1992 | -0.2069 standard deviations from the yearly mean | -155.3% |
| 1993 | -0.3126 standard deviations from the yearly mean | +51.0% |
| 1994 | -0.3516 standard deviations from the yearly mean | +12.5% |
| 1995 | -0.2242 standard deviations from the yearly mean | -36.2% |
| 1996 | -0.1818 standard deviations from the yearly mean | -18.9% |
| 1997 | 0.4176 standard deviations from the yearly mean | -329.8% |
| 1998 | -0.2873 standard deviations from the yearly mean | -168.8% |
| 1999 | -0.6482 standard deviations from the yearly mean | +125.6% |
| 2000 | 0.4035 standard deviations from the yearly mean | -162.2% |
| 2001 | 0.4087 standard deviations from the yearly mean | +1.3% |
| 2006 | 0.1355 standard deviations from the yearly mean | -66.9% |
| 2007 | 0.1656 standard deviations from the yearly mean | +22.2% |
| 2008 | 0.2325 standard deviations from the yearly mean | +40.4% |
| 2009 | 0.2722 standard deviations from the yearly mean | +17.1% |
| 2010 | 0.4604 standard deviations from the yearly mean | +69.2% |
| 2011 | 0.2573 standard deviations from the yearly mean | -44.1% |
| 2012 | 0.2609 standard deviations from the yearly mean | +1.4% |
| 2020 | 0.3195 standard deviations from the yearly mean | +22.4% |
| 2023 | -0.0154 standard deviations from the yearly mean | -104.8% |
China compared with similar countries
- China's -0.0154 standard deviations from the yearly mean is below the median for upper middle income countries, which is 0.096 standard deviations from the yearly mean. (58 countries reporting)
- China's -0.0154 standard deviations from the yearly mean is below the median for East Asia & Pacific, which is 0.1852 standard deviations from the yearly mean. (32 countries reporting)
Biggest year-on-year movements
Years where Human capital composite index in China 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 |
|---|---|---|---|
| 1989 | +779.1% | -0.093 standard deviations from the yearly mean | 0.6315 standard deviations from the yearly mean |
| 1972 | +725.1% | -0.0524 standard deviations from the yearly mean | 0.3272 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.1765 standard deviations from the yearly mean | -0.0524 standard deviations from the yearly mean | 0.7669 standard deviations from the yearly mean | 10 |
| 1980s | -0.0642 standard deviations from the yearly mean | -0.2273 standard deviations from the yearly mean | 0.6315 standard deviations from the yearly mean | 10 |
| 1990s | -0.0942 standard deviations from the yearly mean | -0.6482 standard deviations from the yearly mean | 0.4788 standard deviations from the yearly mean | 10 |
| 2000s | 0.2697 standard deviations from the yearly mean | 0.1355 standard deviations from the yearly mean | 0.4087 standard deviations from the yearly mean | 6 |
| 2010s | 0.3262 standard deviations from the yearly mean | 0.2573 standard deviations from the yearly mean | 0.4604 standard deviations from the yearly mean | 3 |
| 2020s | 0.152 standard deviations from the yearly mean | -0.0154 standard deviations from the yearly mean | 0.3195 standard deviations from the yearly mean | 2 |
Countries ranked near China
- 116 United States 0.0078 standard deviations from the yearly mean compare
- 117 Kyrgyzstan -0.0048 standard deviations from the yearly mean compare
- 118 Jordan -0.0117 standard deviations from the yearly mean compare
- 120 Cuba -0.0174 standard deviations from the yearly mean compare
- 121 Brunei -0.0176 standard deviations from the yearly mean compare
- 122 Iran -0.0437 standard deviations from the yearly mean compare
More education data for China
- Teachers in secondary education, both sexes (number), gaps filled 7.41 million (2024)
- Repeaters in primary education, all grades, both sexes (number), gaps 7,020 (2021)
- Enrolment in pre-primary education, male (number), gaps filled 21.58 million (2024)
- Enrolment in pre-primary education, female (number), gaps filled 19.36 million (2024)
- Secondary education, pupils, gaps filled 97.98 million (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 108.57 million (2024)
- Primary education, pupils, annual growth rate 0.9587 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.0771 units per person (2024)
Frequently asked questions
- What is human capital composite index in China?
- Human capital composite index in China was -0.0154 standard deviations from the yearly mean in 2023, according to Statizoid (derived).
- What is the highest human capital composite index recorded in China?
- The highest recorded value was 0.7669 standard deviations from the yearly mean in 1970.
- What is the lowest human capital composite index recorded in China?
- The lowest recorded value was -0.6482 standard deviations from the yearly mean in 1999.
- How does China rank for human capital composite index?
- China ranks 119th out of 202 countries with data for 2023.
- Is human capital composite index rising or falling in China?
- Over the last ten years it is down 105.9%. The long-run trend across the full record is volatile.
- Where does this China 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 — 41 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.