Human capital composite index in Thailand
Thailand: Human capital composite index was 0.1256 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Thailand, 1971–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Thailand recorded 0.1256 standard deviations from the yearly mean for human capital composite index in 2024.
That represents a change of up 274.5% on the previous year and down 73.3% over ten years.
Over the whole period, human capital composite index in Thailand peaked at 0.5506 standard deviations from the yearly mean in 2000 and was at its lowest, -0.5469 standard deviations from the yearly mean, in 1974.
Thailand ranks 101st of 202 countries on this measure, 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 Thailand, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1971 | -0.2473 standard deviations from the yearly mean | — |
| 1972 | -0.1862 standard deviations from the yearly mean | -24.7% |
| 1973 | -0.4008 standard deviations from the yearly mean | +115.2% |
| 1974 | -0.5469 standard deviations from the yearly mean | +36.4% |
| 1975 | -0.5198 standard deviations from the yearly mean | -5.0% |
| 1976 | -0.4062 standard deviations from the yearly mean | -21.9% |
| 1977 | -0.373 standard deviations from the yearly mean | -8.2% |
| 1978 | -0.2121 standard deviations from the yearly mean | -43.1% |
| 1979 | -0.273 standard deviations from the yearly mean | +28.7% |
| 1980 | 0.1715 standard deviations from the yearly mean | -162.8% |
| 1981 | -0.2246 standard deviations from the yearly mean | -231.0% |
| 1982 | -0.143 standard deviations from the yearly mean | -36.3% |
| 1983 | -0.0015 standard deviations from the yearly mean | -99.0% |
| 1984 | -0.1393 standard deviations from the yearly mean | +9205.9% |
| 1985 | -0.0249 standard deviations from the yearly mean | -82.1% |
| 1986 | -0.1976 standard deviations from the yearly mean | +693.5% |
| 1987 | -0.201 standard deviations from the yearly mean | +1.7% |
| 1988 | -0.3312 standard deviations from the yearly mean | +64.8% |
| 1989 | -0.3682 standard deviations from the yearly mean | +11.2% |
| 1990 | -0.0249 standard deviations from the yearly mean | -93.2% |
| 1991 | -0.2634 standard deviations from the yearly mean | +957.2% |
| 1992 | -0.2032 standard deviations from the yearly mean | -22.8% |
| 1993 | 0.0582 standard deviations from the yearly mean | -128.6% |
| 1994 | -0.2023 standard deviations from the yearly mean | -447.8% |
| 1995 | -0.124 standard deviations from the yearly mean | -38.7% |
| 1996 | -0.0417 standard deviations from the yearly mean | -66.3% |
| 1997 | 0.157 standard deviations from the yearly mean | -476.3% |
| 1998 | 0.2199 standard deviations from the yearly mean | +40.0% |
| 1999 | 0.179 standard deviations from the yearly mean | -18.6% |
| 2000 | 0.5506 standard deviations from the yearly mean | +207.7% |
| 2001 | 0.0085 standard deviations from the yearly mean | -98.5% |
| 2002 | -0.2 standard deviations from the yearly mean | -2445.1% |
| 2004 | -0.1458 standard deviations from the yearly mean | -27.1% |
| 2005 | 0.125 standard deviations from the yearly mean | -185.7% |
| 2006 | -0.1436 standard deviations from the yearly mean | -214.9% |
| 2007 | -0.2346 standard deviations from the yearly mean | +63.3% |
| 2008 | -0.329 standard deviations from the yearly mean | +40.2% |
| 2009 | -0.3999 standard deviations from the yearly mean | +21.5% |
| 2010 | -0.1476 standard deviations from the yearly mean | -63.1% |
| 2011 | 0.0294 standard deviations from the yearly mean | -119.9% |
| 2012 | -0.0489 standard deviations from the yearly mean | -266.2% |
| 2013 | 0.061 standard deviations from the yearly mean | -224.7% |
| 2014 | 0.4704 standard deviations from the yearly mean | +671.7% |
| 2015 | 0.4999 standard deviations from the yearly mean | +6.3% |
| 2016 | 0.4535 standard deviations from the yearly mean | -9.3% |
| 2017 | -0.227 standard deviations from the yearly mean | -150.1% |
| 2018 | -0.0202 standard deviations from the yearly mean | -91.1% |
| 2019 | -0.0593 standard deviations from the yearly mean | +192.9% |
| 2020 | -0.1936 standard deviations from the yearly mean | +226.6% |
| 2021 | -0.1717 standard deviations from the yearly mean | -11.3% |
| 2022 | 0.0085 standard deviations from the yearly mean | -104.9% |
| 2023 | -0.072 standard deviations from the yearly mean | -948.8% |
| 2024 | 0.1256 standard deviations from the yearly mean | -274.5% |
Thailand compared with similar countries
- Thailand's 0.1256 standard deviations from the yearly mean is above the median for upper middle income countries, which is 0.096 standard deviations from the yearly mean, 1.3× the median. (58 countries reporting)
- Thailand's 0.1256 standard deviations from the yearly mean is below the median for East Asia & Pacific, which is 0.1852 standard deviations from the yearly mean, 68% of the median. (32 countries reporting)
Biggest year-on-year movements
Years where Human capital composite index in Thailand 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 |
|---|---|---|---|
| 1984 | -9205.9% | -0.0015 standard deviations from the yearly mean | -0.1393 standard deviations from the yearly mean |
| 2002 | -2445.1% | 0.0085 standard deviations from the yearly mean | -0.2 standard deviations from the yearly mean |
| 1991 | -957.2% | -0.0249 standard deviations from the yearly mean | -0.2634 standard deviations from the yearly mean |
| 2023 | -948.8% | 0.0085 standard deviations from the yearly mean | -0.072 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | -0.3517 standard deviations from the yearly mean | -0.5469 standard deviations from the yearly mean | -0.1862 standard deviations from the yearly mean | 9 |
| 1980s | -0.146 standard deviations from the yearly mean | -0.3682 standard deviations from the yearly mean | 0.1715 standard deviations from the yearly mean | 10 |
| 1990s | -0.0246 standard deviations from the yearly mean | -0.2634 standard deviations from the yearly mean | 0.2199 standard deviations from the yearly mean | 10 |
| 2000s | -0.0854 standard deviations from the yearly mean | -0.3999 standard deviations from the yearly mean | 0.5506 standard deviations from the yearly mean | 9 |
| 2010s | 0.1011 standard deviations from the yearly mean | -0.227 standard deviations from the yearly mean | 0.4999 standard deviations from the yearly mean | 10 |
| 2020s | -0.0606 standard deviations from the yearly mean | -0.1936 standard deviations from the yearly mean | 0.1256 standard deviations from the yearly mean | 5 |
Countries ranked near Thailand
- 98 Canada 0.1581 standard deviations from the yearly mean compare
- 99 Maldives 0.1426 standard deviations from the yearly mean compare
- 100 Armenia 0.1355 standard deviations from the yearly mean compare
- 102 Qatar 0.1255 standard deviations from the yearly mean compare
- 103 Dominican Republic 0.0999 standard deviations from the yearly mean compare
- 104 Israel 0.0985 standard deviations from the yearly mean compare
More education data for Thailand
- Teachers in secondary education, both sexes (number), gaps filled 243,991 (2025)
- Repeaters in primary education, all grades, both sexes (number), gaps 13,596 (2025)
- Enrolment in pre-primary education, male (number), gaps filled 758,147 (2025)
- Enrolment in pre-primary education, female (number), gaps filled 716,498 (2025)
- Secondary education, pupils, gaps filled 4.26 million (2025)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 4.45 million (2025)
- Primary education, pupils, annual growth rate -1.23 % change on previous year (2025)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2025)
- Primary education, pupils, per capita 0.0621 units per person (2025)
Frequently asked questions
- What is human capital composite index in Thailand?
- Human capital composite index in Thailand was 0.1256 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Thailand?
- The highest recorded value was 0.5506 standard deviations from the yearly mean in 2000.
- What is the lowest human capital composite index recorded in Thailand?
- The lowest recorded value was -0.5469 standard deviations from the yearly mean in 1974.
- How does Thailand rank for human capital composite index?
- Thailand ranks 101st out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Thailand?
- Over the last ten years it is down 73.3%. The long-run trend across the full record is volatile.
- Where does this Thailand 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 — 53 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.