Human capital, female in Niger
Niger: Human capital, female was 30.09 billion real chained 2019 US$ in 2020. ▲ Rising
Human capital, female in Niger, 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$.
Analysis
Niger recorded 30.09 billion real chained 2019 US$ for human capital, female in 2020. That is the highest value across all 26 years on record.
Compared with earlier readings it is up 4.1% on the previous year and up 38.8% over ten years.
Over the whole period, human capital, female in Niger peaked at 30.09 billion real chained 2019 US$ in 2020 and was at its lowest, 12.68 billion real chained 2019 US$, in 1995.
That places Niger 108th out of 151 countries with data for 2020, putting it in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Human capital, female in Niger, year by year
| Year | real chained 2019 US$ | Change |
|---|---|---|
| 1995 | 12.68 billion real chained 2019 US$ | — |
| 1996 | 13.16 billion real chained 2019 US$ | +3.8% |
| 1997 | 13.64 billion real chained 2019 US$ | +3.7% |
| 1998 | 14.14 billion real chained 2019 US$ | +3.7% |
| 1999 | 14.65 billion real chained 2019 US$ | +3.6% |
| 2000 | 15.18 billion real chained 2019 US$ | +3.6% |
| 2001 | 15.71 billion real chained 2019 US$ | +3.5% |
| 2002 | 16.17 billion real chained 2019 US$ | +2.9% |
| 2003 | 16.64 billion real chained 2019 US$ | +2.9% |
| 2004 | 17.14 billion real chained 2019 US$ | +3.0% |
| 2005 | 17.68 billion real chained 2019 US$ | +3.1% |
| 2006 | 18.38 billion real chained 2019 US$ | +4.0% |
| 2007 | 19.12 billion real chained 2019 US$ | +4.0% |
| 2008 | 19.92 billion real chained 2019 US$ | +4.2% |
| 2009 | 20.76 billion real chained 2019 US$ | +4.2% |
| 2010 | 21.67 billion real chained 2019 US$ | +4.4% |
| 2011 | 22.65 billion real chained 2019 US$ | +4.5% |
| 2012 | 22.23 billion real chained 2019 US$ | -1.9% |
| 2013 | 22.76 billion real chained 2019 US$ | +2.4% |
| 2014 | 23.28 billion real chained 2019 US$ | +2.3% |
| 2015 | 24.33 billion real chained 2019 US$ | +4.5% |
| 2016 | 25.44 billion real chained 2019 US$ | +4.6% |
| 2017 | 26.58 billion real chained 2019 US$ | +4.5% |
| 2018 | 27.74 billion real chained 2019 US$ | +4.4% |
| 2019 | 28.91 billion real chained 2019 US$ | +4.2% |
| 2020 | 30.09 billion real chained 2019 US$ | +4.1% |
Niger compared with similar countries
- Niger's 30.09 billion real chained 2019 US$ is above the median for low income countries, which is 20.73 billion real chained 2019 US$, 1.5× the median. (18 countries reporting)
- Niger's 30.09 billion real chained 2019 US$ is above the median for Sub-Saharan Africa, which is 29.52 billion real chained 2019 US$, 1.0× the median. (42 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 13.65 billion real chained 2019 US$ | 12.68 billion real chained 2019 US$ | 14.65 billion real chained 2019 US$ | 5 |
| 2000s | 17.67 billion real chained 2019 US$ | 15.18 billion real chained 2019 US$ | 20.76 billion real chained 2019 US$ | 10 |
| 2010s | 24.56 billion real chained 2019 US$ | 21.67 billion real chained 2019 US$ | 28.91 billion real chained 2019 US$ | 10 |
| 2020s | 30.09 billion real chained 2019 US$ | 30.09 billion real chained 2019 US$ | 30.09 billion real chained 2019 US$ | 1 |
Countries ranked near Niger
- 105 Madagascar 31.85 billion real chained 2019 US$ compare
- 106 Mozambique 31.08 billion real chained 2019 US$ compare
- 107 Namibia 30.55 billion real chained 2019 US$ compare
- 109 Togo 29.77 billion real chained 2019 US$ compare
- 110 Malawi 29.27 billion real chained 2019 US$ compare
- 111 Bahrain 28.85 billion real chained 2019 US$ compare
More reference data data for Niger
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2425 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 8.66 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 9.7 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.57 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 9.7 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8132 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.3983 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 37.55 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 42.83 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 3.1 (2050)
Frequently asked questions
- What is human capital, female in Niger?
- Human capital, female in Niger was 30.09 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, female recorded in Niger?
- The highest recorded value was 30.09 billion real chained 2019 US$ in 2020.
- What is the lowest human capital, female recorded in Niger?
- The lowest recorded value was 12.68 billion real chained 2019 US$ in 1995.
- How does Niger rank for human capital, female?
- Niger ranks 108th out of 151 countries with data for 2020.
- Is human capital, female rising or falling in Niger?
- Over the last ten years it is up 38.8%. The long-run trend across the full record is rising.
- Where does this Niger 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, female (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.