Human capital composite index in Mongolia
Mongolia: Human capital composite index was 0.2153 standard deviations from the yearly mean in 2024. ◆ Volatile
Human capital composite index in Mongolia, 1971–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, human capital composite index in Mongolia stood at 0.2153 standard deviations from the yearly mean.
The figure is up 14.1% on the previous year and up 1,237.4% over ten years.
Over the whole period, human capital composite index in Mongolia peaked at 1.15 standard deviations from the yearly mean in 1980 and was at its lowest, -0.392 standard deviations from the yearly mean, in 2017.
That places Mongolia 91st out of 202 countries 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 Mongolia, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1971 | 0.8451 standard deviations from the yearly mean | — |
| 1972 | 0.7928 standard deviations from the yearly mean | -6.2% |
| 1973 | 1 standard deviations from the yearly mean | +26.5% |
| 1974 | 0.9291 standard deviations from the yearly mean | -7.4% |
| 1975 | 0.9972 standard deviations from the yearly mean | +7.3% |
| 1976 | 0.9147 standard deviations from the yearly mean | -8.3% |
| 1979 | 1.14 standard deviations from the yearly mean | +24.3% |
| 1980 | 1.15 standard deviations from the yearly mean | +1.5% |
| 1981 | 0.9958 standard deviations from the yearly mean | -13.8% |
| 1983 | 0.9433 standard deviations from the yearly mean | -5.3% |
| 1986 | 0.8464 standard deviations from the yearly mean | -10.3% |
| 1990 | 0.948 standard deviations from the yearly mean | +12.0% |
| 1991 | 0.7182 standard deviations from the yearly mean | -24.2% |
| 1992 | 0.3953 standard deviations from the yearly mean | -45.0% |
| 1993 | -0.0227 standard deviations from the yearly mean | -105.7% |
| 1994 | -0.1258 standard deviations from the yearly mean | +453.9% |
| 1995 | -0.025 standard deviations from the yearly mean | -80.1% |
| 1996 | 0.1205 standard deviations from the yearly mean | -582.1% |
| 1997 | -0.0031 standard deviations from the yearly mean | -102.6% |
| 1998 | 0.3718 standard deviations from the yearly mean | -12065.2% |
| 1999 | 0.171 standard deviations from the yearly mean | -54.0% |
| 2000 | 0.5806 standard deviations from the yearly mean | +239.5% |
| 2001 | 0.1253 standard deviations from the yearly mean | -78.4% |
| 2002 | 0.6064 standard deviations from the yearly mean | +383.9% |
| 2003 | 0.3335 standard deviations from the yearly mean | -45.0% |
| 2004 | 0.4184 standard deviations from the yearly mean | +25.5% |
| 2005 | 0.1075 standard deviations from the yearly mean | -74.3% |
| 2006 | 0.1793 standard deviations from the yearly mean | +66.8% |
| 2007 | -0.0668 standard deviations from the yearly mean | -137.2% |
| 2009 | 0.5009 standard deviations from the yearly mean | -849.8% |
| 2010 | 0.7989 standard deviations from the yearly mean | +59.5% |
| 2011 | 0.8383 standard deviations from the yearly mean | +4.9% |
| 2012 | 0.8201 standard deviations from the yearly mean | -2.2% |
| 2013 | 0.4012 standard deviations from the yearly mean | -51.1% |
| 2014 | 0.0161 standard deviations from the yearly mean | -96.0% |
| 2015 | -0.1822 standard deviations from the yearly mean | -1232.1% |
| 2016 | 0.0364 standard deviations from the yearly mean | -120.0% |
| 2017 | -0.392 standard deviations from the yearly mean | -1175.5% |
| 2018 | 0.1376 standard deviations from the yearly mean | -135.1% |
| 2019 | 0.0838 standard deviations from the yearly mean | -39.1% |
| 2020 | 0.132 standard deviations from the yearly mean | +57.4% |
| 2021 | 0.247 standard deviations from the yearly mean | +87.1% |
| 2022 | 0.1773 standard deviations from the yearly mean | -28.2% |
| 2023 | 0.1887 standard deviations from the yearly mean | +6.4% |
| 2024 | 0.2153 standard deviations from the yearly mean | +14.1% |
Mongolia compared with similar countries
- Mongolia's 0.2153 standard deviations from the yearly mean is above the median for upper middle income countries, which is 0.096 standard deviations from the yearly mean, 2.2× the median. (58 countries reporting)
- Mongolia's 0.2153 standard deviations from the yearly mean is above the median for East Asia & Pacific, which is 0.1852 standard deviations from the yearly mean, 1.2× the median. (32 countries reporting)
Biggest year-on-year movements
Years where Human capital composite index in Mongolia 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 |
|---|---|---|---|
| 1998 | +12065.2% | -0.0031 standard deviations from the yearly mean | 0.3718 standard deviations from the yearly mean |
| 2015 | -1232.1% | 0.0161 standard deviations from the yearly mean | -0.1822 standard deviations from the yearly mean |
| 2017 | -1175.5% | 0.0364 standard deviations from the yearly mean | -0.392 standard deviations from the yearly mean |
| 2009 | +849.8% | -0.0668 standard deviations from the yearly mean | 0.5009 standard deviations from the yearly mean |
| 1996 | +582.1% | -0.025 standard deviations from the yearly mean | 0.1205 standard deviations from the yearly mean |
| 1994 | -453.9% | -0.0227 standard deviations from the yearly mean | -0.1258 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.9456 standard deviations from the yearly mean | 0.7928 standard deviations from the yearly mean | 1.14 standard deviations from the yearly mean | 7 |
| 1980s | 0.9851 standard deviations from the yearly mean | 0.8464 standard deviations from the yearly mean | 1.15 standard deviations from the yearly mean | 4 |
| 1990s | 0.2548 standard deviations from the yearly mean | -0.1258 standard deviations from the yearly mean | 0.948 standard deviations from the yearly mean | 10 |
| 2000s | 0.3095 standard deviations from the yearly mean | -0.0668 standard deviations from the yearly mean | 0.6064 standard deviations from the yearly mean | 9 |
| 2010s | 0.2558 standard deviations from the yearly mean | -0.392 standard deviations from the yearly mean | 0.8383 standard deviations from the yearly mean | 10 |
| 2020s | 0.192 standard deviations from the yearly mean | 0.132 standard deviations from the yearly mean | 0.247 standard deviations from the yearly mean | 5 |
Countries ranked near Mongolia
- 88 Indonesia 0.2183 standard deviations from the yearly mean compare
- 89 Slovakia 0.2168 standard deviations from the yearly mean compare
- 90 Hong Kong 0.2154 standard deviations from the yearly mean compare
- 92 Czechia 0.2096 standard deviations from the yearly mean compare
- 93 South Korea 0.1995 standard deviations from the yearly mean compare
- 94 Mauritius 0.1864 standard deviations from the yearly mean compare
More education data for Mongolia
- Teachers in secondary education, both sexes (number), gaps filled 25,798 (2024)
- Repeaters in primary education, all grades, both sexes (number), gaps 9 (2024)
- Enrolment in pre-primary education, male (number), gaps filled 135,342 (2024)
- Enrolment in pre-primary education, female (number), gaps filled 129,476 (2024)
- Secondary education, pupils, gaps filled 412,877 (2023)
- Primary education, duration (years), annual growth rate 0 % change on previous year (2025)
- Primary education, pupils, gaps filled 379,647 (2024)
- Primary education, pupils, annual growth rate -0.5431 % change on previous year (2024)
- Primary education, pupils, per unit of GDP 0 units per US$ of GDP (2024)
- Primary education, pupils, per capita 0.1077 units per person (2024)
Frequently asked questions
- What is human capital composite index in Mongolia?
- Human capital composite index in Mongolia was 0.2153 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest human capital composite index recorded in Mongolia?
- The highest recorded value was 1.15 standard deviations from the yearly mean in 1980.
- What is the lowest human capital composite index recorded in Mongolia?
- The lowest recorded value was -0.392 standard deviations from the yearly mean in 2017.
- How does Mongolia rank for human capital composite index?
- Mongolia ranks 91st out of 202 countries with data for 2024.
- Is human capital composite index rising or falling in Mongolia?
- Over the last ten years it is up 1,237.4%. The long-run trend across the full record is volatile.
- Where does this Mongolia 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 — 45 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.