Human capital in Mongolia
Mongolia: Human capital was 41.77 billion real chained 2019 US$ in 2020. ▲ Rising
Human capital in Mongolia, 1995–2020
Source: World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4. Measured in real chained 2019 US$.
Analysis
The most recent figure for human capital in Mongolia is 41.77 billion real chained 2019 US$, measured in 2020. That is the highest value across all 26 years on record.
Compared with earlier readings it is up 4.4% on the previous year and up 36.5% over ten years.
Over the whole period, human capital in Mongolia peaked at 41.77 billion real chained 2019 US$ in 2020 and was at its lowest, 20.87 billion real chained 2019 US$, in 1995.
That places Mongolia 128th out of 151 countries with data for 2020, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 26 years of available data.
Human capital in Mongolia, year by year
| Year | real chained 2019 US$ | Change |
|---|---|---|
| 1995 | 20.87 billion real chained 2019 US$ | — |
| 1996 | 21.42 billion real chained 2019 US$ | +2.6% |
| 1997 | 21.98 billion real chained 2019 US$ | +2.6% |
| 1998 | 22.53 billion real chained 2019 US$ | +2.5% |
| 1999 | 23.10 billion real chained 2019 US$ | +2.5% |
| 2000 | 23.74 billion real chained 2019 US$ | +2.8% |
| 2001 | 24.45 billion real chained 2019 US$ | +3.0% |
| 2002 | 25.14 billion real chained 2019 US$ | +2.8% |
| 2003 | 25.64 billion real chained 2019 US$ | +2.0% |
| 2004 | 26.41 billion real chained 2019 US$ | +3.0% |
| 2005 | 27.10 billion real chained 2019 US$ | +2.6% |
| 2006 | 27.88 billion real chained 2019 US$ | +2.9% |
| 2007 | 28.61 billion real chained 2019 US$ | +2.6% |
| 2008 | 29.04 billion real chained 2019 US$ | +1.5% |
| 2009 | 29.71 billion real chained 2019 US$ | +2.3% |
| 2010 | 30.60 billion real chained 2019 US$ | +3.0% |
| 2011 | 32.64 billion real chained 2019 US$ | +6.7% |
| 2012 | 33.49 billion real chained 2019 US$ | +2.6% |
| 2013 | 33.94 billion real chained 2019 US$ | +1.3% |
| 2014 | 34.91 billion real chained 2019 US$ | +2.9% |
| 2015 | 35.59 billion real chained 2019 US$ | +2.0% |
| 2016 | 34.89 billion real chained 2019 US$ | -2.0% |
| 2017 | 36.56 billion real chained 2019 US$ | +4.8% |
| 2018 | 38.26 billion real chained 2019 US$ | +4.7% |
| 2019 | 40.00 billion real chained 2019 US$ | +4.5% |
| 2020 | 41.77 billion real chained 2019 US$ | +4.4% |
Mongolia compared with similar countries
- Mongolia's 41.77 billion real chained 2019 US$ is below the median for upper middle income countries, which is 282.57 billion real chained 2019 US$, 15% of the median. (43 countries reporting)
- Mongolia's 41.77 billion real chained 2019 US$ is below the median for East Asia & Pacific, which is 2.06 trillion real chained 2019 US$, 2% of the median. (16 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 21.98 billion real chained 2019 US$ | 20.87 billion real chained 2019 US$ | 23.10 billion real chained 2019 US$ | 5 |
| 2000s | 26.77 billion real chained 2019 US$ | 23.74 billion real chained 2019 US$ | 29.71 billion real chained 2019 US$ | 10 |
| 2010s | 35.09 billion real chained 2019 US$ | 30.60 billion real chained 2019 US$ | 40.00 billion real chained 2019 US$ | 10 |
| 2020s | 41.77 billion real chained 2019 US$ | 41.77 billion real chained 2019 US$ | 41.77 billion real chained 2019 US$ | 1 |
Countries ranked near Mongolia
- 125 Laos 49.43 billion real chained 2019 US$ compare
- 126 North Macedonia 46.83 billion real chained 2019 US$ compare
- 127 Guinea 44.92 billion real chained 2019 US$ compare
- 129 Maldives 40.19 billion real chained 2019 US$ compare
- 130 Gabon 35.18 billion real chained 2019 US$ compare
- 131 Mauritania 33.45 billion real chained 2019 US$ compare
More reference data data for Mongolia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.8173 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 3.37 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.25 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0069 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.25 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.74 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 3.16 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 12.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 18.89 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0378 (2050)
Frequently asked questions
- What is human capital in Mongolia?
- Human capital in Mongolia was 41.77 billion real chained 2019 US$ in 2020, according to World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
- What is the highest human capital recorded in Mongolia?
- The highest recorded value was 41.77 billion real chained 2019 US$ in 2020.
- What is the lowest human capital recorded in Mongolia?
- The lowest recorded value was 20.87 billion real chained 2019 US$ in 1995.
- How does Mongolia rank for human capital?
- Mongolia ranks 128th out of 151 countries with data for 2020.
- Is human capital rising or falling in Mongolia?
- Over the last ten years it is up 36.5%. The long-run trend across the full record is rising.
- Where does this Mongolia data come from?
- The figures come from World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4, published as part of Human capital (real chained 2019 US$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Human capital is computed as the present value of future earnings for the working population over their lifetimes. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.