Human capital composite index in Myanmar
Myanmar: Human capital composite index was -0.4425 standard deviations from the yearly mean in 2019. ◆ Volatile
Human capital composite index in Myanmar, 1971–2019
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2019, human capital composite index in Myanmar stood at -0.4425 standard deviations from the yearly mean.
Compared with earlier readings it is down 264.3% on the previous year and down 34.9% over ten years.
Over the whole period, human capital composite index in Myanmar peaked at 0.2963 standard deviations from the yearly mean in 2016 and was at its lowest, -0.7524 standard deviations from the yearly mean, in 1977.
That places Myanmar 160th out of 202 countries with data for 2019, 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 Myanmar, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1971 | -0.0163 standard deviations from the yearly mean | — |
| 1972 | -0.1344 standard deviations from the yearly mean | +724.8% |
| 1973 | -0.2069 standard deviations from the yearly mean | +53.9% |
| 1976 | -0.6854 standard deviations from the yearly mean | +231.3% |
| 1977 | -0.7524 standard deviations from the yearly mean | +9.8% |
| 1978 | -0.6823 standard deviations from the yearly mean | -9.3% |
| 1979 | -0.2602 standard deviations from the yearly mean | -61.9% |
| 1980 | -0.2332 standard deviations from the yearly mean | -10.4% |
| 1981 | -0.227 standard deviations from the yearly mean | -2.7% |
| 1982 | -0.121 standard deviations from the yearly mean | -46.7% |
| 1983 | 0.2262 standard deviations from the yearly mean | -286.9% |
| 1984 | -0.1246 standard deviations from the yearly mean | -155.1% |
| 1985 | -0.1793 standard deviations from the yearly mean | +44.0% |
| 1986 | -0.1966 standard deviations from the yearly mean | +9.6% |
| 1987 | -0.0179 standard deviations from the yearly mean | -90.9% |
| 1988 | -0.0254 standard deviations from the yearly mean | +41.8% |
| 1989 | 0.0328 standard deviations from the yearly mean | -229.2% |
| 1990 | -0.2889 standard deviations from the yearly mean | -980.1% |
| 1991 | -0.1146 standard deviations from the yearly mean | -60.3% |
| 1992 | 0.1269 standard deviations from the yearly mean | -210.7% |
| 1993 | 0.1478 standard deviations from the yearly mean | +16.5% |
| 1994 | 0.169 standard deviations from the yearly mean | +14.3% |
| 1995 | -0.5367 standard deviations from the yearly mean | -417.6% |
| 1999 | -0.3367 standard deviations from the yearly mean | -37.3% |
| 2000 | 0.085 standard deviations from the yearly mean | -125.2% |
| 2001 | -0.4186 standard deviations from the yearly mean | -592.4% |
| 2002 | -0.4714 standard deviations from the yearly mean | +12.6% |
| 2003 | -0.4532 standard deviations from the yearly mean | -3.9% |
| 2004 | -0.3906 standard deviations from the yearly mean | -13.8% |
| 2005 | -0.3824 standard deviations from the yearly mean | -2.1% |
| 2006 | -0.3427 standard deviations from the yearly mean | -10.4% |
| 2007 | -0.3608 standard deviations from the yearly mean | +5.3% |
| 2008 | -0.2852 standard deviations from the yearly mean | -20.9% |
| 2009 | -0.328 standard deviations from the yearly mean | +15.0% |
| 2010 | -0.2982 standard deviations from the yearly mean | -9.1% |
| 2014 | 0.2781 standard deviations from the yearly mean | -193.3% |
| 2016 | 0.2963 standard deviations from the yearly mean | +6.5% |
| 2017 | 0.0538 standard deviations from the yearly mean | -81.9% |
| 2018 | 0.2694 standard deviations from the yearly mean | +401.0% |
| 2019 | -0.4425 standard deviations from the yearly mean | -264.3% |
Myanmar compared with similar countries
- Myanmar's -0.4425 standard deviations from the yearly mean is below the median for lower middle income countries, which is -0.2251 standard deviations from the yearly mean, 2.0× the median. (46 countries reporting)
- Myanmar's -0.4425 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 Myanmar 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 |
|---|---|---|---|
| 1990 | -980.1% | 0.0328 standard deviations from the yearly mean | -0.2889 standard deviations from the yearly mean |
| 1972 | -724.8% | -0.0163 standard deviations from the yearly mean | -0.1344 standard deviations from the yearly mean |
| 2001 | -592.4% | 0.085 standard deviations from the yearly mean | -0.4186 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | -0.3911 standard deviations from the yearly mean | -0.7524 standard deviations from the yearly mean | -0.0163 standard deviations from the yearly mean | 7 |
| 1980s | -0.0866 standard deviations from the yearly mean | -0.2332 standard deviations from the yearly mean | 0.2262 standard deviations from the yearly mean | 10 |
| 1990s | -0.119 standard deviations from the yearly mean | -0.5367 standard deviations from the yearly mean | 0.169 standard deviations from the yearly mean | 7 |
| 2000s | -0.3348 standard deviations from the yearly mean | -0.4714 standard deviations from the yearly mean | 0.085 standard deviations from the yearly mean | 10 |
| 2010s | 0.0261 standard deviations from the yearly mean | -0.4425 standard deviations from the yearly mean | 0.2963 standard deviations from the yearly mean | 6 |
Countries ranked near Myanmar
- 157 Democratic Republic of Congo -0.3781 standard deviations from the yearly mean compare
- 158 Barbados -0.4317 standard deviations from the yearly mean compare
- 159 Papua New Guinea -0.4368 standard deviations from the yearly mean compare
- 161 Puerto Rico -0.5076 standard deviations from the yearly mean compare
- 162 Bahamas -0.509 standard deviations from the yearly mean compare
- 163 Gabon -0.5138 standard deviations from the yearly mean compare
More education data for Myanmar
- Teachers in secondary education, both sexes (number), gaps filled 153,660 (2018)
- Repeaters in primary education, all grades, both sexes (number), gaps 25,434 (2018)
- Enrolment in pre-primary education, male (number), gaps filled 76,947 (2018)
- Enrolment in pre-primary education, female (number), gaps filled 77,156 (2018)
- Secondary education, pupils, gaps filled 4.19 million (2018)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 5.30 million (2018)
- Primary education, pupils, annual growth rate -1.64 % change on previous year (2018)
- Primary education, pupils, per unit of GDP 0.0001 units per US$ of GDP (2018)
- Primary education, pupils, per capita 0.1014 units per person (2018)
Frequently asked questions
- What is human capital composite index in Myanmar?
- Human capital composite index in Myanmar was -0.4425 standard deviations from the yearly mean in 2019, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Myanmar?
- The highest recorded value was 0.2963 standard deviations from the yearly mean in 2016.
- What is the lowest human capital composite index recorded in Myanmar?
- The lowest recorded value was -0.7524 standard deviations from the yearly mean in 1977.
- How does Myanmar rank for human capital composite index?
- Myanmar ranks 160th out of 202 countries with data for 2019.
- Is human capital composite index rising or falling in Myanmar?
- Over the last ten years it is down 34.9%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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 — 40 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.