Renewable natural capital per capita, agricultural land in Russian Federation
Russian Federation: Renewable natural capital per capita, agricultural land was 1,299 real chained 2019 US$ in 2020. ▬ Flat
Renewable natural capital per capita, agricultural land in Russian Federation, 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$.
Analysis
The most recent figure for renewable natural capital per capita, agricultural land in Russian Federation is 1,299 real chained 2019 US$, measured in 2020.
Compared with earlier readings it is up 0.1% on the previous year and down 1.6% over ten years.
Over the whole period, renewable natural capital per capita, agricultural land in Russian Federation peaked at 1,322 real chained 2019 US$ in 2008 and was at its lowest, 1,277 real chained 2019 US$, in 1995.
Russian Federation ranks 135th of 151 countries on this measure, in the bottom quarter.
Renewable natural capital per capita, agricultural land in Russian Federation, year by year
| Year | real chained 2019 US$ | Change |
|---|---|---|
| 1995 | 1,277 real chained 2019 US$ | — |
| 1996 | 1,277 real chained 2019 US$ | +0.0% |
| 1997 | 1,291 real chained 2019 US$ | +1.0% |
| 1998 | 1,289 real chained 2019 US$ | -0.2% |
| 1999 | 1,290 real chained 2019 US$ | +0.1% |
| 2000 | 1,297 real chained 2019 US$ | +0.6% |
| 2001 | 1,301 real chained 2019 US$ | +0.3% |
| 2002 | 1,306 real chained 2019 US$ | +0.4% |
| 2003 | 1,309 real chained 2019 US$ | +0.3% |
| 2004 | 1,313 real chained 2019 US$ | +0.3% |
| 2005 | 1,316 real chained 2019 US$ | +0.2% |
| 2006 | 1,319 real chained 2019 US$ | +0.2% |
| 2007 | 1,321 real chained 2019 US$ | +0.2% |
| 2008 | 1,322 real chained 2019 US$ | +0.1% |
| 2009 | 1,322 real chained 2019 US$ | -0.0% |
| 2010 | 1,321 real chained 2019 US$ | -0.0% |
| 2011 | 1,320 real chained 2019 US$ | -0.1% |
| 2012 | 1,316 real chained 2019 US$ | -0.3% |
| 2013 | 1,312 real chained 2019 US$ | -0.3% |
| 2014 | 1,308 real chained 2019 US$ | -0.3% |
| 2015 | 1,305 real chained 2019 US$ | -0.3% |
| 2016 | 1,301 real chained 2019 US$ | -0.3% |
| 2017 | 1,299 real chained 2019 US$ | -0.2% |
| 2018 | 1,298 real chained 2019 US$ | -0.1% |
| 2019 | 1,297 real chained 2019 US$ | -0.0% |
| 2020 | 1,299 real chained 2019 US$ | +0.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,285 real chained 2019 US$ | 1,277 real chained 2019 US$ | 1,291 real chained 2019 US$ | 5 |
| 2000s | 1,313 real chained 2019 US$ | 1,297 real chained 2019 US$ | 1,322 real chained 2019 US$ | 10 |
| 2010s | 1,308 real chained 2019 US$ | 1,297 real chained 2019 US$ | 1,321 real chained 2019 US$ | 10 |
| 2020s | 1,299 real chained 2019 US$ | 1,299 real chained 2019 US$ | 1,299 real chained 2019 US$ | 1 |
Countries ranked near Russian Federation
- 132 Japan 1,321 real chained 2019 US$ compare
- 133 Haiti 1,315 real chained 2019 US$ compare
- 134 Iraq 1,306 real chained 2019 US$ compare
- 136 Bolivia, Plurinational State of 1,141 real chained 2019 US$ compare
- 137 Lesotho 1,108 real chained 2019 US$ compare
- 138 Mauritania 1,060 real chained 2019 US$ compare
More reference data data for Russian Federation
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 9.34 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.11 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 26.58 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 4.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 26.58 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 31.32 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 19.38 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 18.16 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 129.69 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 26.88 (2050)
Frequently asked questions
- What is renewable natural capital per capita, agricultural land in Russian Federation?
- Renewable natural capital per capita, agricultural land in Russian Federation was 1,299 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 renewable natural capital per capita, agricultural land recorded in Russian Federation?
- The highest recorded value was 1,322 real chained 2019 US$ in 2008.
- What is the lowest renewable natural capital per capita, agricultural land recorded in Russian Federation?
- The lowest recorded value was 1,277 real chained 2019 US$ in 1995.
- How does Russian Federation rank for renewable natural capital per capita, agricultural land?
- Russian Federation ranks 135th out of 151 countries with data for 2020.
- Is renewable natural capital per capita, agricultural land rising or falling in Russian Federation?
- Over the last ten years it is down 1.6%. The long-run trend across the full record is flat.
- Where does this Russian Federation 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 Renewable natural capital per capita, agricultural land (real chained 2019 US$). Statizoid updates them automatically from the source API.
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About this data
Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.