Human capital composite index in Malaysia
Malaysia: Human capital composite index was -0.6015 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Malaysia, 1970–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Malaysia recorded -0.6015 standard deviations from the yearly mean for human capital composite index in 2024. That is the lowest value across all 51 years on record.
Compared with earlier readings it is down 57.8% on the previous year and down 3,625.5% over ten years.
Over the whole period, human capital composite index in Malaysia peaked at 1.38 standard deviations from the yearly mean in 1986 and was at its lowest, -0.6015 standard deviations from the yearly mean, in 2024.
Malaysia ranks 168th of 202 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Human capital composite index in Malaysia, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | 0.6607 standard deviations from the yearly mean | — |
| 1971 | 0.5079 standard deviations from the yearly mean | -23.1% |
| 1975 | 0.7214 standard deviations from the yearly mean | +42.1% |
| 1977 | 0.6968 standard deviations from the yearly mean | -3.4% |
| 1978 | 0.7184 standard deviations from the yearly mean | +3.1% |
| 1979 | 0.69 standard deviations from the yearly mean | -4.0% |
| 1980 | 0.6935 standard deviations from the yearly mean | +0.5% |
| 1981 | 0.9321 standard deviations from the yearly mean | +34.4% |
| 1982 | 1 standard deviations from the yearly mean | +7.5% |
| 1983 | 0.5946 standard deviations from the yearly mean | -40.7% |
| 1984 | 0.6445 standard deviations from the yearly mean | +8.4% |
| 1985 | 0.775 standard deviations from the yearly mean | +20.2% |
| 1986 | 1.38 standard deviations from the yearly mean | +78.7% |
| 1987 | 1.01 standard deviations from the yearly mean | -27.4% |
| 1988 | 0.6261 standard deviations from the yearly mean | -37.7% |
| 1989 | 0.5427 standard deviations from the yearly mean | -13.3% |
| 1990 | 0.4235 standard deviations from the yearly mean | -22.0% |
| 1991 | 0.5103 standard deviations from the yearly mean | +20.5% |
| 1992 | 0.3571 standard deviations from the yearly mean | -30.0% |
| 1993 | 0.2307 standard deviations from the yearly mean | -35.4% |
| 1994 | 0.2285 standard deviations from the yearly mean | -1.0% |
| 1995 | 0.2889 standard deviations from the yearly mean | +26.5% |
| 1996 | 0.4406 standard deviations from the yearly mean | +52.5% |
| 1997 | 0.4581 standard deviations from the yearly mean | +4.0% |
| 1998 | 0.5117 standard deviations from the yearly mean | +11.7% |
| 1999 | 0.4722 standard deviations from the yearly mean | -7.7% |
| 2000 | 0.6011 standard deviations from the yearly mean | +27.3% |
| 2001 | 0.6562 standard deviations from the yearly mean | +9.2% |
| 2002 | 0.4791 standard deviations from the yearly mean | -27.0% |
| 2003 | 0.4542 standard deviations from the yearly mean | -5.2% |
| 2004 | 0.3355 standard deviations from the yearly mean | -26.1% |
| 2005 | -0.1314 standard deviations from the yearly mean | -139.2% |
| 2006 | -0.0176 standard deviations from the yearly mean | -86.6% |
| 2007 | -0.0794 standard deviations from the yearly mean | +351.7% |
| 2008 | -0.1924 standard deviations from the yearly mean | +142.4% |
| 2009 | 0.0863 standard deviations from the yearly mean | -144.9% |
| 2010 | 0.1826 standard deviations from the yearly mean | +111.6% |
| 2011 | 0.186 standard deviations from the yearly mean | +1.9% |
| 2012 | 0.1753 standard deviations from the yearly mean | -5.7% |
| 2013 | 0.0944 standard deviations from the yearly mean | -46.1% |
| 2014 | 0.0171 standard deviations from the yearly mean | -81.9% |
| 2015 | -0.0812 standard deviations from the yearly mean | -576.0% |
| 2016 | 0.0636 standard deviations from the yearly mean | -178.3% |
| 2017 | 0.0806 standard deviations from the yearly mean | +26.7% |
| 2018 | -0.0293 standard deviations from the yearly mean | -136.4% |
| 2019 | -0.1217 standard deviations from the yearly mean | +315.4% |
| 2020 | -0.5854 standard deviations from the yearly mean | +381.2% |
| 2021 | -0.429 standard deviations from the yearly mean | -26.7% |
| 2022 | -0.2391 standard deviations from the yearly mean | -44.3% |
| 2023 | -0.3813 standard deviations from the yearly mean | +59.5% |
| 2024 | -0.6015 standard deviations from the yearly mean | +57.8% |
Malaysia compared with similar countries
- Malaysia's -0.6015 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)
- Malaysia's -0.6015 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 Malaysia 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 |
|---|---|---|---|
| 2015 | -576.0% | 0.0171 standard deviations from the yearly mean | -0.0812 standard deviations from the yearly mean |
| 2020 | -381.2% | -0.1217 standard deviations from the yearly mean | -0.5854 standard deviations from the yearly mean |
| 2007 | -351.7% | -0.0176 standard deviations from the yearly mean | -0.0794 standard deviations from the yearly mean |
| 2019 | -315.4% | -0.0293 standard deviations from the yearly mean | -0.1217 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.6659 standard deviations from the yearly mean | 0.5079 standard deviations from the yearly mean | 0.7214 standard deviations from the yearly mean | 6 |
| 1980s | 0.8201 standard deviations from the yearly mean | 0.5427 standard deviations from the yearly mean | 1.38 standard deviations from the yearly mean | 10 |
| 1990s | 0.3922 standard deviations from the yearly mean | 0.2285 standard deviations from the yearly mean | 0.5117 standard deviations from the yearly mean | 10 |
| 2000s | 0.2192 standard deviations from the yearly mean | -0.1924 standard deviations from the yearly mean | 0.6562 standard deviations from the yearly mean | 10 |
| 2010s | 0.0567 standard deviations from the yearly mean | -0.1217 standard deviations from the yearly mean | 0.186 standard deviations from the yearly mean | 10 |
| 2020s | -0.4472 standard deviations from the yearly mean | -0.6015 standard deviations from the yearly mean | -0.2391 standard deviations from the yearly mean | 5 |
Countries ranked near Malaysia
- 165 Uganda -0.5268 standard deviations from the yearly mean compare
- 166 Burundi -0.5852 standard deviations from the yearly mean compare
- 167 El Salvador -0.5963 standard deviations from the yearly mean compare
- 169 Congo -0.6106 standard deviations from the yearly mean compare
- 170 Bangladesh -0.6267 standard deviations from the yearly mean compare
- 171 Guatemala -0.6582 standard deviations from the yearly mean compare
More education data for Malaysia
- Teachers in secondary education, both sexes (number), gaps filled 217,105 (2024)
- Repeaters in primary education, all grades, both sexes (number), gaps 0 (2024)
- Enrolment in pre-primary education, male (number), gaps filled 475,967 (2024)
- Enrolment in pre-primary education, female (number), gaps filled 460,041 (2024)
- Secondary education, pupils, gaps filled 2.64 million (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 3.06 million (2024)
- Primary education, pupils, annual growth rate -1.2 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.0859 units per person (2024)
Frequently asked questions
- What is human capital composite index in Malaysia?
- Human capital composite index in Malaysia was -0.6015 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Malaysia?
- The highest recorded value was 1.38 standard deviations from the yearly mean in 1986.
- What is the lowest human capital composite index recorded in Malaysia?
- The lowest recorded value was -0.6015 standard deviations from the yearly mean in 2024.
- How does Malaysia rank for human capital composite index?
- Malaysia ranks 168th out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Malaysia?
- Over the last ten years it is down 3,625.5%. The long-run trend across the full record is volatile.
- Where does this Malaysia 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 — 51 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.