Human capital composite index in Singapore
Singapore: Human capital composite index was -0.075 standard deviations from the yearly mean in 2023. ◆ Volatile
Human capital composite index in Singapore, 1980–2023
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2023, human capital composite index in Singapore stood at -0.075 standard deviations from the yearly mean.
The figure is up 41.1% on the previous year and down 255.6% over ten years.
Over the whole period, human capital composite index in Singapore peaked at 0.2823 standard deviations from the yearly mean in 2000 and was at its lowest, -0.1273 standard deviations from the yearly mean, in 2022.
Singapore ranks 128th 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 Singapore, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | 0.1191 standard deviations from the yearly mean | — |
| 2000 | 0.2823 standard deviations from the yearly mean | +137.1% |
| 2010 | 0.1391 standard deviations from the yearly mean | -50.7% |
| 2011 | 0.1065 standard deviations from the yearly mean | -23.4% |
| 2012 | 0.1852 standard deviations from the yearly mean | +73.9% |
| 2013 | 0.0482 standard deviations from the yearly mean | -74.0% |
| 2014 | 0.0871 standard deviations from the yearly mean | +80.7% |
| 2015 | 0.0362 standard deviations from the yearly mean | -58.4% |
| 2016 | 0.1914 standard deviations from the yearly mean | +428.2% |
| 2017 | 0.2008 standard deviations from the yearly mean | +4.9% |
| 2018 | 0.1746 standard deviations from the yearly mean | -13.0% |
| 2019 | 0.1629 standard deviations from the yearly mean | -6.7% |
| 2020 | 0.143 standard deviations from the yearly mean | -12.2% |
| 2021 | 0.1969 standard deviations from the yearly mean | +37.7% |
| 2022 | -0.1273 standard deviations from the yearly mean | -164.6% |
| 2023 | -0.075 standard deviations from the yearly mean | -41.1% |
Singapore compared with similar countries
- Singapore's -0.075 standard deviations from the yearly mean is below the median for high income countries, which is 0.3622 standard deviations from the yearly mean. (75 countries reporting)
- Singapore's -0.075 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 Singapore 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 |
|---|---|---|---|
| 2016 | +428.2% | 0.0362 standard deviations from the yearly mean | 0.1914 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.1191 standard deviations from the yearly mean | 0.1191 standard deviations from the yearly mean | 0.1191 standard deviations from the yearly mean | 1 |
| 2000s | 0.2823 standard deviations from the yearly mean | 0.2823 standard deviations from the yearly mean | 0.2823 standard deviations from the yearly mean | 1 |
| 2010s | 0.1332 standard deviations from the yearly mean | 0.0362 standard deviations from the yearly mean | 0.2008 standard deviations from the yearly mean | 10 |
| 2020s | 0.0344 standard deviations from the yearly mean | -0.1273 standard deviations from the yearly mean | 0.1969 standard deviations from the yearly mean | 4 |
Countries ranked near Singapore
- 125 Afghanistan -0.0585 standard deviations from the yearly mean compare
- 126 Kenya -0.0588 standard deviations from the yearly mean compare
- 127 Uzbekistan -0.0698 standard deviations from the yearly mean compare
- 129 Bulgaria -0.0767 standard deviations from the yearly mean compare
- 130 North Macedonia -0.0779 standard deviations from the yearly mean compare
- 131 Lesotho -0.0885 standard deviations from the yearly mean compare
More education data for Singapore
- Teachers in secondary education, both sexes (number), gaps filled 13,601 (2023)
- Repeaters in primary education, all grades, both sexes (number), gaps 336 (2023)
- Enrolment in pre-primary education, male (number), gaps filled 9,429 (1989)
- Enrolment in pre-primary education, female (number), gaps filled 8,429 (1989)
- Secondary education, pupils, gaps filled 163,746 (2023)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 238,816 (2023)
- Primary education, pupils, annual growth rate 1.4 % change on previous year (2023)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2023)
- Primary education, pupils, per capita 0.0404 units per person (2023)
Frequently asked questions
- What is human capital composite index in Singapore?
- Human capital composite index in Singapore was -0.075 standard deviations from the yearly mean in 2023, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Singapore?
- The highest recorded value was 0.2823 standard deviations from the yearly mean in 2000.
- What is the lowest human capital composite index recorded in Singapore?
- The lowest recorded value was -0.1273 standard deviations from the yearly mean in 2022.
- How does Singapore rank for human capital composite index?
- Singapore ranks 128th out of 202 countries with data for 2023.
- Is human capital composite index rising or falling in Singapore?
- Over the last ten years it is down 255.6%. The long-run trend across the full record is volatile.
- Where does this Singapore 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 — 16 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.