Human capital composite index in Philippines
Philippines: Human capital composite index was -0.3396 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Philippines, 1971–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, human capital composite index in Philippines stood at -0.3396 standard deviations from the yearly mean.
Compared with earlier readings it is down 94.9% on the previous year and down 23.9% over ten years.
Over the whole period, human capital composite index in Philippines peaked at 0.9589 standard deviations from the yearly mean in 1990 and was at its lowest, -0.4594 standard deviations from the yearly mean, in 2021.
Philippines ranks 152nd 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 Philippines, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1971 | 0.6332 standard deviations from the yearly mean | — |
| 1972 | 0.5615 standard deviations from the yearly mean | -11.3% |
| 1973 | 0.5297 standard deviations from the yearly mean | -5.7% |
| 1974 | 0.4674 standard deviations from the yearly mean | -11.8% |
| 1975 | 0.5138 standard deviations from the yearly mean | +9.9% |
| 1976 | 0.4896 standard deviations from the yearly mean | -4.7% |
| 1977 | 0.6053 standard deviations from the yearly mean | +23.6% |
| 1978 | 0.608 standard deviations from the yearly mean | +0.5% |
| 1979 | 0.7231 standard deviations from the yearly mean | +18.9% |
| 1980 | 0.2509 standard deviations from the yearly mean | -65.3% |
| 1981 | 0.5966 standard deviations from the yearly mean | +137.8% |
| 1982 | -0.0528 standard deviations from the yearly mean | -108.9% |
| 1983 | -0.1217 standard deviations from the yearly mean | +130.5% |
| 1984 | 0.5898 standard deviations from the yearly mean | -584.7% |
| 1985 | 0.5828 standard deviations from the yearly mean | -1.2% |
| 1986 | -0.2469 standard deviations from the yearly mean | -142.4% |
| 1987 | 0.6122 standard deviations from the yearly mean | -347.9% |
| 1988 | 0.6854 standard deviations from the yearly mean | +12.0% |
| 1989 | 0.736 standard deviations from the yearly mean | +7.4% |
| 1990 | 0.9589 standard deviations from the yearly mean | +30.3% |
| 1991 | 0.5867 standard deviations from the yearly mean | -38.8% |
| 1992 | 0.5788 standard deviations from the yearly mean | -1.4% |
| 1993 | 0.5979 standard deviations from the yearly mean | +3.3% |
| 1994 | 0.8301 standard deviations from the yearly mean | +38.8% |
| 1995 | 0.0772 standard deviations from the yearly mean | -90.7% |
| 1996 | 0.1881 standard deviations from the yearly mean | +143.6% |
| 1997 | 0.2394 standard deviations from the yearly mean | +27.3% |
| 1998 | 0.2815 standard deviations from the yearly mean | +17.6% |
| 1999 | 0.3937 standard deviations from the yearly mean | +39.9% |
| 2000 | 0.2779 standard deviations from the yearly mean | -29.4% |
| 2001 | -0.1336 standard deviations from the yearly mean | -148.1% |
| 2002 | -0.1198 standard deviations from the yearly mean | -10.4% |
| 2003 | 0.1289 standard deviations from the yearly mean | -207.7% |
| 2004 | -0.2172 standard deviations from the yearly mean | -268.5% |
| 2005 | -0.285 standard deviations from the yearly mean | +31.2% |
| 2006 | -0.3796 standard deviations from the yearly mean | +33.2% |
| 2007 | -0.3903 standard deviations from the yearly mean | +2.8% |
| 2008 | -0.0173 standard deviations from the yearly mean | -95.6% |
| 2009 | -0.3518 standard deviations from the yearly mean | +1933.5% |
| 2014 | -0.2742 standard deviations from the yearly mean | -22.1% |
| 2015 | 0.0284 standard deviations from the yearly mean | -110.3% |
| 2016 | -0.2463 standard deviations from the yearly mean | -968.2% |
| 2017 | -0.1854 standard deviations from the yearly mean | -24.7% |
| 2018 | -0.3993 standard deviations from the yearly mean | +115.4% |
| 2019 | -0.1407 standard deviations from the yearly mean | -64.8% |
| 2020 | -0.0456 standard deviations from the yearly mean | -67.6% |
| 2021 | -0.4594 standard deviations from the yearly mean | +908.1% |
| 2022 | -0.3598 standard deviations from the yearly mean | -21.7% |
| 2023 | -0.1742 standard deviations from the yearly mean | -51.6% |
| 2024 | -0.3396 standard deviations from the yearly mean | +94.9% |
Philippines compared with similar countries
- Philippines's -0.3396 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)
- Philippines's -0.3396 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 Philippines 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 |
|---|---|---|---|
| 2009 | -1933.5% | -0.0173 standard deviations from the yearly mean | -0.3518 standard deviations from the yearly mean |
| 2016 | -968.2% | 0.0284 standard deviations from the yearly mean | -0.2463 standard deviations from the yearly mean |
| 2021 | -908.1% | -0.0456 standard deviations from the yearly mean | -0.4594 standard deviations from the yearly mean |
| 1984 | +584.7% | -0.1217 standard deviations from the yearly mean | 0.5898 standard deviations from the yearly mean |
| 1987 | +347.9% | -0.2469 standard deviations from the yearly mean | 0.6122 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.5702 standard deviations from the yearly mean | 0.4674 standard deviations from the yearly mean | 0.7231 standard deviations from the yearly mean | 9 |
| 1980s | 0.3632 standard deviations from the yearly mean | -0.2469 standard deviations from the yearly mean | 0.736 standard deviations from the yearly mean | 10 |
| 1990s | 0.4732 standard deviations from the yearly mean | 0.0772 standard deviations from the yearly mean | 0.9589 standard deviations from the yearly mean | 10 |
| 2000s | -0.1488 standard deviations from the yearly mean | -0.3903 standard deviations from the yearly mean | 0.2779 standard deviations from the yearly mean | 10 |
| 2010s | -0.2029 standard deviations from the yearly mean | -0.3993 standard deviations from the yearly mean | 0.0284 standard deviations from the yearly mean | 6 |
| 2020s | -0.2757 standard deviations from the yearly mean | -0.4594 standard deviations from the yearly mean | -0.0456 standard deviations from the yearly mean | 5 |
Countries ranked near Philippines
- 149 Guinea-Bissau -0.3044 standard deviations from the yearly mean compare
- 150 Gambia -0.3159 standard deviations from the yearly mean compare
- 151 Macao -0.3186 standard deviations from the yearly mean compare
- 153 Ukraine -0.3467 standard deviations from the yearly mean compare
- 154 Cameroon -0.3551 standard deviations from the yearly mean compare
- 155 Zambia -0.3561 standard deviations from the yearly mean compare
More education data for Philippines
- Teachers in secondary education, both sexes (number), gaps filled 495,843 (2024)
- Repeaters in primary education, all grades, both sexes (number), gaps 201,568 (2024)
- Enrolment in pre-primary education, male (number), gaps filled 1.06 million (2024)
- Enrolment in pre-primary education, female (number), gaps filled 983,812 (2024)
- Secondary education, pupils, gaps filled 11.87 million (2024)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 13.06 million (2024)
- Primary education, pupils, annual growth rate 0.8345 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.1128 units per person (2024)
Frequently asked questions
- What is human capital composite index in Philippines?
- Human capital composite index in Philippines was -0.3396 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Philippines?
- The highest recorded value was 0.9589 standard deviations from the yearly mean in 1990.
- What is the lowest human capital composite index recorded in Philippines?
- The lowest recorded value was -0.4594 standard deviations from the yearly mean in 2021.
- How does Philippines rank for human capital composite index?
- Philippines ranks 152nd out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Philippines?
- Over the last ten years it is down 23.9%. The long-run trend across the full record is volatile.
- Where does this Philippines 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 — 50 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.