Wittgenstein Projection: Population in thousands by highest level of e in Russia
Russia: Wittgenstein Projection: Population in thousands by highest level of e was 902.94 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Russia, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Russia is 902.94, measured in 2100. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 14.9% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Russia peaked at 6,457 in 2010 and was at its lowest, 902.94, in 2100.
Russia ranks 54th of 166 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 5,808 | 5,160 | 6,457 | 2 |
| 2020s | 4,133 | 3,908 | 4,358 | 2 |
| 2030s | 3,281 | 3,026 | 3,536 | 2 |
| 2040s | 2,332 | 2,131 | 2,534 | 2 |
| 2050s | 1,878 | 1,842 | 1,915 | 2 |
| 2060s | 1,713 | 1,640 | 1,786 | 2 |
| 2070s | 1,368 | 1,284 | 1,452 | 2 |
| 2080s | 1,147 | 1,117 | 1,178 | 2 |
| 2090s | 1,025 | 988.54 | 1,062 | 2 |
| 2100s | 902.94 | 902.94 | 902.94 | 1 |
Countries ranked near Russia
More reference data data for Russia
- 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 wittgenstein projection: population in thousands by highest level of e in Russia?
- Wittgenstein projection: population in thousands by highest level of e in Russia was 902.94 in 2100, according to Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
- What is the highest wittgenstein projection: population in thousands by highest level of e recorded in Russia?
- The highest recorded value was 6,457 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Russia?
- The lowest recorded value was 902.94 in 2100.
- How does Russia rank for wittgenstein projection: population in thousands by highest level of e?
- Russia ranks 54th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Russia?
- Over the last ten years it is down 14.9%. The long-run trend across the full record is volatile.
- Where does this Russia data come from?
- The figures come from Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as part of Wittgenstein Projection: Population in thousands by highest level of educational attainment. Lower Secondary. Female. Statizoid updates them automatically from the source API.
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CSV · JSON — 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Total population in thousands that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/