Human capital in Peru
Peru: Human capital was 1.49 trillion real chained 2019 US$ in 2020. ▲ Rising
Human capital in Peru, 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$.
Analysis
The most recent figure for human capital in Peru is 1.49 trillion real chained 2019 US$, measured in 2020. That is the highest value across all 26 years on record.
The figure is up 4.3% on the previous year and up 28.7% over ten years.
Over the whole period, human capital in Peru peaked at 1.49 trillion real chained 2019 US$ in 2020 and was at its lowest, 609.38 billion real chained 2019 US$, in 1995.
Peru ranks 43rd of 150 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 697.58 billion real chained 2019 US$ | 609.38 billion real chained 2019 US$ | 789.07 billion real chained 2019 US$ | 5 |
| 2000s | 996.16 billion real chained 2019 US$ | 792.25 billion real chained 2019 US$ | 1.14 trillion real chained 2019 US$ | 10 |
| 2010s | 1.25 trillion real chained 2019 US$ | 1.16 trillion real chained 2019 US$ | 1.43 trillion real chained 2019 US$ | 10 |
| 2020s | 1.49 trillion real chained 2019 US$ | 1.49 trillion real chained 2019 US$ | 1.49 trillion real chained 2019 US$ | 1 |
Countries ranked near Peru
- 40 Bangladesh 1.56 trillion real chained 2019 US$ compare
- 41 New Zealand 1.56 trillion real chained 2019 US$ compare
- 42 Czechia 1.49 trillion real chained 2019 US$ compare
- 44 Finland 1.47 trillion real chained 2019 US$ compare
- 45 Nigeria 1.40 trillion real chained 2019 US$ compare
- 46 Portugal 1.38 trillion real chained 2019 US$ compare
More reference data data for Peru
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.15 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.39 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3808 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.94 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.84 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.94 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 18.98 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 35.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.07 (2050)
Frequently asked questions
- What is human capital in Peru?
- Human capital in Peru was 1.49 trillion 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 Peru?
- The highest recorded value was 1.49 trillion real chained 2019 US$ in 2020.
- What is the lowest human capital recorded in Peru?
- The lowest recorded value was 609.38 billion real chained 2019 US$ in 1995.
- How does Peru rank for human capital?
- Peru ranks 43rd out of 150 countries with data for 2020.
- Is human capital rising or falling in Peru?
- Over the last ten years it is up 28.7%. The long-run trend across the full record is rising.
- Where does this Peru 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.