Wittgenstein Projection: Population in thousands by highest level of e in Russia
Russia: Wittgenstein Projection: Population in thousands by highest level of e was 29,673 in 2100. βΌ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Russia, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in Russia stood at 29,673. That is the lowest value across all 19 years on record.
The figure is down 6.6% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Russia peaked at 44,397 in 2030 and was at its lowest, 29,673, in 2100.
That places Russia 10th out of 166 countries with data for 2100, putting it in the top 10%.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 43,540 | 43,408 | 43,673 | 2 |
| 2020s | 43,970 | 43,817 | 44,123 | 2 |
| 2030s | 44,255 | 44,113 | 44,397 | 2 |
| 2040s | 42,578 | 41,939 | 43,217 | 2 |
| 2050s | 40,158 | 39,647 | 40,669 | 2 |
| 2060s | 38,342 | 37,862 | 38,821 | 2 |
| 2070s | 35,997 | 35,321 | 36,673 | 2 |
| 2080s | 33,395 | 32,809 | 33,981 | 2 |
| 2090s | 31,268 | 30,762 | 31,775 | 2 |
| 2100s | 29,673 | 29,673 | 29,673 | 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 29,673 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 44,397 in 2030.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Russia?
- The lowest recorded value was 29,673 in 2100.
- How does Russia rank for wittgenstein projection: population in thousands by highest level of e?
- Russia ranks 10th 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 6.6%. The long-run trend across the full record is falling.
- 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. Upper Secondary. Female. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Total population in thousands that has completed upper secondary or incomplete post-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/