Human capital composite index in Pacific island small states
Pacific island small states: Human capital composite index was -0.2031 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Pacific island small states, 1970–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Pacific island small states recorded -0.2031 standard deviations from the yearly mean for human capital composite index in 2024. That is the lowest value across all 55 years on record.
Compared with earlier readings it is down 87.5% on the previous year and down 2,161.9% over ten years.
Over the whole period, human capital composite index in Pacific island small states peaked at 1.12 standard deviations from the yearly mean in 1970 and was at its lowest, -0.2031 standard deviations from the yearly mean, in 2024.
Pacific island small states ranks 27th of 43 groups 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 Pacific island small states, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1970 | 1.12 standard deviations from the yearly mean | — |
| 1971 | 0.8559 standard deviations from the yearly mean | -23.5% |
| 1972 | 0.8638 standard deviations from the yearly mean | +0.9% |
| 1973 | 0.9159 standard deviations from the yearly mean | +6.0% |
| 1974 | 0.8828 standard deviations from the yearly mean | -3.6% |
| 1975 | 0.9559 standard deviations from the yearly mean | +8.3% |
| 1976 | 0.8791 standard deviations from the yearly mean | -8.0% |
| 1977 | 0.9269 standard deviations from the yearly mean | +5.4% |
| 1978 | 0.8644 standard deviations from the yearly mean | -6.7% |
| 1979 | 0.9106 standard deviations from the yearly mean | +5.4% |
| 1980 | 0.8523 standard deviations from the yearly mean | -6.4% |
| 1981 | 0.6538 standard deviations from the yearly mean | -23.3% |
| 1982 | 0.7167 standard deviations from the yearly mean | +9.6% |
| 1983 | 0.6179 standard deviations from the yearly mean | -13.8% |
| 1984 | 0.6435 standard deviations from the yearly mean | +4.1% |
| 1985 | 0.5858 standard deviations from the yearly mean | -9.0% |
| 1986 | 0.4956 standard deviations from the yearly mean | -15.4% |
| 1987 | 0.605 standard deviations from the yearly mean | +22.1% |
| 1988 | 0.6207 standard deviations from the yearly mean | +2.6% |
| 1989 | 0.5762 standard deviations from the yearly mean | -7.2% |
| 1990 | 0.5106 standard deviations from the yearly mean | -11.4% |
| 1991 | 0.411 standard deviations from the yearly mean | -19.5% |
| 1992 | 0.4634 standard deviations from the yearly mean | +12.7% |
| 1993 | 0.5308 standard deviations from the yearly mean | +14.5% |
| 1994 | 0.4744 standard deviations from the yearly mean | -10.6% |
| 1995 | 0.5028 standard deviations from the yearly mean | +6.0% |
| 1996 | 0.4117 standard deviations from the yearly mean | -18.1% |
| 1997 | 0.3957 standard deviations from the yearly mean | -3.9% |
| 1998 | 0.333 standard deviations from the yearly mean | -15.8% |
| 1999 | 0.1417 standard deviations from the yearly mean | -57.5% |
| 2000 | 0.0116 standard deviations from the yearly mean | -91.8% |
| 2001 | -0.0386 standard deviations from the yearly mean | -433.9% |
| 2002 | -0.0306 standard deviations from the yearly mean | -20.6% |
| 2003 | -0.0406 standard deviations from the yearly mean | +32.8% |
| 2004 | -0.0289 standard deviations from the yearly mean | -29.0% |
| 2005 | -0.0595 standard deviations from the yearly mean | +106.3% |
| 2006 | -0.0409 standard deviations from the yearly mean | -31.4% |
| 2007 | -0.1354 standard deviations from the yearly mean | +231.4% |
| 2008 | -0.1141 standard deviations from the yearly mean | -15.7% |
| 2009 | -0.121 standard deviations from the yearly mean | +6.0% |
| 2010 | -0.0075 standard deviations from the yearly mean | -93.8% |
| 2011 | 0.012 standard deviations from the yearly mean | -258.8% |
| 2012 | -0.0387 standard deviations from the yearly mean | -423.6% |
| 2013 | -0.0266 standard deviations from the yearly mean | -31.2% |
| 2014 | -0.009 standard deviations from the yearly mean | -66.3% |
| 2015 | -0.014 standard deviations from the yearly mean | +55.5% |
| 2016 | -0.026 standard deviations from the yearly mean | +86.3% |
| 2017 | 0.076 standard deviations from the yearly mean | -392.3% |
| 2018 | 0.0783 standard deviations from the yearly mean | +2.9% |
| 2019 | 0.067 standard deviations from the yearly mean | -14.3% |
| 2020 | -0.0415 standard deviations from the yearly mean | -161.8% |
| 2021 | -0.1039 standard deviations from the yearly mean | +150.6% |
| 2022 | -0.1815 standard deviations from the yearly mean | +74.7% |
| 2023 | -0.1083 standard deviations from the yearly mean | -40.3% |
| 2024 | -0.2031 standard deviations from the yearly mean | +87.5% |
Biggest year-on-year movements
Years where Human capital composite index in Pacific island small states 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 |
|---|---|---|---|
| 2001 | -433.9% | 0.0116 standard deviations from the yearly mean | -0.0386 standard deviations from the yearly mean |
| 2012 | -423.6% | 0.012 standard deviations from the yearly mean | -0.0387 standard deviations from the yearly mean |
| 2017 | +392.3% | -0.026 standard deviations from the yearly mean | 0.076 standard deviations from the yearly mean |
| 2011 | +258.8% | -0.0075 standard deviations from the yearly mean | 0.012 standard deviations from the yearly mean |
| 2007 | -231.4% | -0.0409 standard deviations from the yearly mean | -0.1354 standard deviations from the yearly mean |
| 2020 | -161.8% | 0.067 standard deviations from the yearly mean | -0.0415 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.9174 standard deviations from the yearly mean | 0.8559 standard deviations from the yearly mean | 1.12 standard deviations from the yearly mean | 10 |
| 1980s | 0.6367 standard deviations from the yearly mean | 0.4956 standard deviations from the yearly mean | 0.8523 standard deviations from the yearly mean | 10 |
| 1990s | 0.4175 standard deviations from the yearly mean | 0.1417 standard deviations from the yearly mean | 0.5308 standard deviations from the yearly mean | 10 |
| 2000s | -0.0598 standard deviations from the yearly mean | -0.1354 standard deviations from the yearly mean | 0.0116 standard deviations from the yearly mean | 10 |
| 2010s | 0.0111 standard deviations from the yearly mean | -0.0387 standard deviations from the yearly mean | 0.0783 standard deviations from the yearly mean | 10 |
| 2020s | -0.1276 standard deviations from the yearly mean | -0.2031 standard deviations from the yearly mean | -0.0415 standard deviations from the yearly mean | 5 |
Countries ranked near Pacific island small states
- 24 French Polynesia 0.8969 standard deviations from the yearly mean compare
- 25 Rwanda 0.891 standard deviations from the yearly mean compare
- 26 Turks and Caicos Islands 0.8744 standard deviations from the yearly mean compare
- 27 Venezuela 0.794 standard deviations from the yearly mean compare
- 28 Uruguay 0.79 standard deviations from the yearly mean compare
- 29 Denmark 0.7785 standard deviations from the yearly mean compare
- 30 United Arab Emirates 0.7681 standard deviations from the yearly mean compare
More education data for Pacific island small states
- Primary education, teachers, gaps filled 18,401 (2024)
- Secondary education, pupils, gaps filled 319,112 (2024)
- Population ages 0-14 33.0% (2025)
- Primary education, pupils, gaps filled 357,181 (2024)
- Primary education, pupils, annual growth rate -0.2028 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.1312 units per person (2024)
- Population ages 15-64 61.7% (2025)
- Secondary education, pupils, per capita 0.1172 units per person (2024)
- Secondary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
Frequently asked questions
- What is human capital composite index in Pacific island small states?
- Human capital composite index in Pacific island small states was -0.2031 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Pacific island small states?
- The highest recorded value was 1.12 standard deviations from the yearly mean in 1970.
- What is the lowest human capital composite index recorded in Pacific island small states?
- The lowest recorded value was -0.2031 standard deviations from the yearly mean in 2024.
- How does Pacific island small states rank for human capital composite index?
- Pacific island small states ranks 27th out of 43 groups with data for 2024.
- Is human capital composite index rising or falling in Pacific island small states?
- Over the last ten years it is down 2,161.9%. The long-run trend across the full record is volatile.
- Where does this Pacific island small states 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 — 55 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.