Human capital composite index in South Asia (IDA & IBRD)
South Asia (IDA & IBRD): Human capital composite index was -0.0881 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in South Asia (IDA & IBRD), 1979–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
South Asia (IDA & IBRD) recorded -0.0881 standard deviations from the yearly mean for human capital composite index in 2024.
Compared with earlier readings it is up 56.3% on the previous year and up 62.2% over ten years.
Over the whole period, human capital composite index in South Asia (IDA & IBRD) peaked at -0.0025 standard deviations from the yearly mean in 2017 and was at its lowest, -1.49 standard deviations from the yearly mean, in 1980.
That places South Asia (IDA & IBRD) 22nd out of 43 groups with data for 2024, putting it 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 South Asia (IDA & IBRD), year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1979 | -1.12 standard deviations from the yearly mean | — |
| 1980 | -1.49 standard deviations from the yearly mean | +33.3% |
| 1981 | -1.25 standard deviations from the yearly mean | -15.8% |
| 1982 | -1.34 standard deviations from the yearly mean | +6.9% |
| 1983 | -1.37 standard deviations from the yearly mean | +1.9% |
| 1984 | -1.26 standard deviations from the yearly mean | -7.6% |
| 1985 | -1.24 standard deviations from the yearly mean | -1.5% |
| 1986 | -1.19 standard deviations from the yearly mean | -4.0% |
| 1987 | -1.23 standard deviations from the yearly mean | +3.1% |
| 1990 | -1.28 standard deviations from the yearly mean | +4.4% |
| 1991 | -1.12 standard deviations from the yearly mean | -13.0% |
| 1997 | -0.8746 standard deviations from the yearly mean | -21.8% |
| 1998 | -0.5964 standard deviations from the yearly mean | -31.8% |
| 1999 | -0.5397 standard deviations from the yearly mean | -9.5% |
| 2000 | -0.503 standard deviations from the yearly mean | -6.8% |
| 2001 | -0.5528 standard deviations from the yearly mean | +9.9% |
| 2002 | -0.6085 standard deviations from the yearly mean | +10.1% |
| 2003 | -0.4095 standard deviations from the yearly mean | -32.7% |
| 2004 | -0.3873 standard deviations from the yearly mean | -5.4% |
| 2005 | -0.3618 standard deviations from the yearly mean | -6.6% |
| 2006 | -0.3581 standard deviations from the yearly mean | -1.0% |
| 2007 | -0.4269 standard deviations from the yearly mean | +19.2% |
| 2008 | -0.4322 standard deviations from the yearly mean | +1.2% |
| 2009 | -0.5004 standard deviations from the yearly mean | +15.8% |
| 2010 | -0.3125 standard deviations from the yearly mean | -37.5% |
| 2011 | -0.3405 standard deviations from the yearly mean | +9.0% |
| 2012 | -0.3412 standard deviations from the yearly mean | +0.2% |
| 2013 | -0.348 standard deviations from the yearly mean | +2.0% |
| 2014 | -0.2328 standard deviations from the yearly mean | -33.1% |
| 2015 | -0.2847 standard deviations from the yearly mean | +22.3% |
| 2016 | -0.0318 standard deviations from the yearly mean | -88.8% |
| 2017 | -0.0025 standard deviations from the yearly mean | -92.1% |
| 2018 | -0.3332 standard deviations from the yearly mean | +13092.3% |
| 2019 | -0.2883 standard deviations from the yearly mean | -13.5% |
| 2020 | -0.3955 standard deviations from the yearly mean | +37.2% |
| 2021 | -0.2266 standard deviations from the yearly mean | -42.7% |
| 2022 | -0.0951 standard deviations from the yearly mean | -58.1% |
| 2023 | -0.2017 standard deviations from the yearly mean | +112.2% |
| 2024 | -0.0881 standard deviations from the yearly mean | -56.3% |
Biggest year-on-year movements
Years where Human capital composite index in South Asia (IDA & IBRD) 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 |
|---|---|---|---|
| 2018 | -13092.3% | -0.0025 standard deviations from the yearly mean | -0.3332 standard deviations from the yearly mean |
| 2023 | -112.2% | -0.0951 standard deviations from the yearly mean | -0.2017 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | -1.12 standard deviations from the yearly mean | -1.12 standard deviations from the yearly mean | -1.12 standard deviations from the yearly mean | 1 |
| 1980s | -1.3 standard deviations from the yearly mean | -1.49 standard deviations from the yearly mean | -1.19 standard deviations from the yearly mean | 8 |
| 1990s | -0.8826 standard deviations from the yearly mean | -1.28 standard deviations from the yearly mean | -0.5397 standard deviations from the yearly mean | 5 |
| 2000s | -0.4541 standard deviations from the yearly mean | -0.6085 standard deviations from the yearly mean | -0.3581 standard deviations from the yearly mean | 10 |
| 2010s | -0.2516 standard deviations from the yearly mean | -0.348 standard deviations from the yearly mean | -0.0025 standard deviations from the yearly mean | 10 |
| 2020s | -0.2014 standard deviations from the yearly mean | -0.3955 standard deviations from the yearly mean | -0.0881 standard deviations from the yearly mean | 5 |
Countries ranked near South Asia (IDA & IBRD)
- 19 Eswatini 0.9647 standard deviations from the yearly mean compare
- 20 Micronesia (country) 0.9545 standard deviations from the yearly mean compare
- 21 Albania 0.9239 standard deviations from the yearly mean compare
- 22 Costa Rica 0.9159 standard deviations from the yearly mean compare
- 23 Australia 0.9056 standard deviations from the yearly mean compare
- 24 French Polynesia 0.8969 standard deviations from the yearly mean compare
- 25 Rwanda 0.891 standard deviations from the yearly mean compare
More education data for South Asia (IDA & IBRD)
- Primary education, teachers, gaps filled 5.84 million (2024)
- Secondary education, pupils, gaps filled 152.88 million (2024)
- Population ages 0-14 24.6% (2025)
- Population ages 15-64 68.1% (2025)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 160.82 million (2024)
- Primary education, pupils, per capita 0.0959 units per person (2024)
- Primary education, pupils, annual growth rate 4.5 % change on previous year (2024)
- Secondary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
Frequently asked questions
- What is human capital composite index in South Asia (IDA & IBRD)?
- Human capital composite index in South Asia (IDA & IBRD) was -0.0881 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in South Asia (IDA & IBRD)?
- The highest recorded value was -0.0025 standard deviations from the yearly mean in 2017.
- What is the lowest human capital composite index recorded in South Asia (IDA & IBRD)?
- The lowest recorded value was -1.49 standard deviations from the yearly mean in 1980.
- How does South Asia (IDA & IBRD) rank for human capital composite index?
- South Asia (IDA & IBRD) ranks 22nd out of 43 groups with data for 2024.
- Is human capital composite index rising or falling in South Asia (IDA & IBRD)?
- Over the last ten years it is up 62.2%. The long-run trend across the full record is volatile.
- Where does this South Asia (IDA & IBRD) 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 — 39 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.