Human capital composite index in Seychelles
Seychelles: Human capital composite index was -0.6709 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Seychelles, 1970–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, human capital composite index in Seychelles stood at -0.6709 standard deviations from the yearly mean. That is the lowest value across all 52 years on record.
That represents a change of down 384.0% on the previous year and down 229.3% over ten years.
Over the whole period, human capital composite index in Seychelles peaked at 2.08 standard deviations from the yearly mean in 1984 and was at its lowest, -0.6709 standard deviations from the yearly mean, in 2024.
That places Seychelles 172nd out of 202 countries with data for 2024, putting it 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 Seychelles, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | 0.4341 standard deviations from the yearly mean | — |
| 1971 | 0.3318 standard deviations from the yearly mean | -23.6% |
| 1972 | 0.2281 standard deviations from the yearly mean | -31.3% |
| 1973 | 0.3937 standard deviations from the yearly mean | +72.6% |
| 1974 | 0.319 standard deviations from the yearly mean | -19.0% |
| 1975 | 0.2439 standard deviations from the yearly mean | -23.5% |
| 1976 | 0.1536 standard deviations from the yearly mean | -37.0% |
| 1978 | 0.2974 standard deviations from the yearly mean | +93.7% |
| 1979 | 0.3901 standard deviations from the yearly mean | +31.2% |
| 1980 | 0.4338 standard deviations from the yearly mean | +11.2% |
| 1981 | 0.4842 standard deviations from the yearly mean | +11.6% |
| 1982 | 0.7701 standard deviations from the yearly mean | +59.1% |
| 1983 | 0.7246 standard deviations from the yearly mean | -5.9% |
| 1984 | 2.08 standard deviations from the yearly mean | +187.4% |
| 1985 | 2.01 standard deviations from the yearly mean | -3.4% |
| 1986 | 1.95 standard deviations from the yearly mean | -3.0% |
| 1987 | 1.52 standard deviations from the yearly mean | -22.2% |
| 1988 | 1.9 standard deviations from the yearly mean | +25.5% |
| 1989 | 1.89 standard deviations from the yearly mean | -0.6% |
| 1991 | 1.39 standard deviations from the yearly mean | -26.5% |
| 1992 | 1.4 standard deviations from the yearly mean | +0.8% |
| 1993 | 1.45 standard deviations from the yearly mean | +3.6% |
| 1994 | 1.81 standard deviations from the yearly mean | +24.8% |
| 1995 | 1.63 standard deviations from the yearly mean | -10.2% |
| 1996 | 1.67 standard deviations from the yearly mean | +2.2% |
| 1998 | 1.11 standard deviations from the yearly mean | -33.2% |
| 1999 | 0.5242 standard deviations from the yearly mean | -52.9% |
| 2000 | 0.9922 standard deviations from the yearly mean | +89.3% |
| 2001 | 0.6729 standard deviations from the yearly mean | -32.2% |
| 2002 | 0.2714 standard deviations from the yearly mean | -59.7% |
| 2003 | 0.3289 standard deviations from the yearly mean | +21.2% |
| 2004 | 0.2755 standard deviations from the yearly mean | -16.2% |
| 2005 | 0.7414 standard deviations from the yearly mean | +169.1% |
| 2006 | 0.5221 standard deviations from the yearly mean | -29.6% |
| 2007 | 1.02 standard deviations from the yearly mean | +96.3% |
| 2008 | 1.12 standard deviations from the yearly mean | +9.7% |
| 2009 | 0.978 standard deviations from the yearly mean | -13.0% |
| 2010 | 0.2526 standard deviations from the yearly mean | -74.2% |
| 2011 | 0.0634 standard deviations from the yearly mean | -74.9% |
| 2012 | 0.0529 standard deviations from the yearly mean | -16.5% |
| 2013 | 0.2017 standard deviations from the yearly mean | +281.1% |
| 2014 | 0.5188 standard deviations from the yearly mean | +157.2% |
| 2015 | 0.7123 standard deviations from the yearly mean | +37.3% |
| 2016 | 0.7944 standard deviations from the yearly mean | +11.5% |
| 2017 | 1.13 standard deviations from the yearly mean | +41.8% |
| 2018 | 0.9392 standard deviations from the yearly mean | -16.6% |
| 2019 | 0.653 standard deviations from the yearly mean | -30.5% |
| 2020 | 0.6165 standard deviations from the yearly mean | -5.6% |
| 2021 | 0.567 standard deviations from the yearly mean | -8.0% |
| 2022 | -0.3464 standard deviations from the yearly mean | -161.1% |
| 2023 | -0.1386 standard deviations from the yearly mean | -60.0% |
| 2024 | -0.6709 standard deviations from the yearly mean | +384.0% |
Seychelles compared with similar countries
- Seychelles's -0.6709 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)
- Seychelles's -0.6709 standard deviations from the yearly mean is below the median for Sub-Saharan Africa, which is -0.5172 standard deviations from the yearly mean, 1.3× the median. (47 countries reporting)
Biggest year-on-year movements
Years where Human capital composite index in Seychelles 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 |
|---|---|---|---|
| 2024 | -384.0% | -0.1386 standard deviations from the yearly mean | -0.6709 standard deviations from the yearly mean |
| 2013 | +281.1% | 0.0529 standard deviations from the yearly mean | 0.2017 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.3102 standard deviations from the yearly mean | 0.1536 standard deviations from the yearly mean | 0.4341 standard deviations from the yearly mean | 9 |
| 1980s | 1.38 standard deviations from the yearly mean | 0.4338 standard deviations from the yearly mean | 2.08 standard deviations from the yearly mean | 10 |
| 1990s | 1.37 standard deviations from the yearly mean | 0.5242 standard deviations from the yearly mean | 1.81 standard deviations from the yearly mean | 8 |
| 2000s | 0.6931 standard deviations from the yearly mean | 0.2714 standard deviations from the yearly mean | 1.12 standard deviations from the yearly mean | 10 |
| 2010s | 0.5315 standard deviations from the yearly mean | 0.0529 standard deviations from the yearly mean | 1.13 standard deviations from the yearly mean | 10 |
| 2020s | 0.0055 standard deviations from the yearly mean | -0.6709 standard deviations from the yearly mean | 0.6165 standard deviations from the yearly mean | 5 |
Countries ranked near Seychelles
- 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
- 173 Bermuda -0.6994 standard deviations from the yearly mean compare
- 174 Romania -0.7018 standard deviations from the yearly mean compare
- 175 Cote d'Ivoire -0.7036 standard deviations from the yearly mean compare
More education data for Seychelles
- Teachers in secondary education, both sexes (number), gaps filled 713 (2024)
- Repeaters in primary education, all grades, both sexes (number), gaps 0 (1994)
- Enrolment in pre-primary education, male (number), gaps filled 1,576 (2024)
- Enrolment in pre-primary education, female (number), gaps filled 1,588 (2024)
- Secondary education, pupils, gaps filled 8,091 (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 9,592 (2024)
- Primary education, pupils, annual growth rate -0.0625 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.079 units per person (2024)
Frequently asked questions
- What is human capital composite index in Seychelles?
- Human capital composite index in Seychelles was -0.6709 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Seychelles?
- The highest recorded value was 2.08 standard deviations from the yearly mean in 1984.
- What is the lowest human capital composite index recorded in Seychelles?
- The lowest recorded value was -0.6709 standard deviations from the yearly mean in 2024.
- How does Seychelles rank for human capital composite index?
- Seychelles ranks 172nd out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Seychelles?
- Over the last ten years it is down 229.3%. The long-run trend across the full record is volatile.
- Where does this Seychelles 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 — 52 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.