Wittgenstein Projection: Population in thousands by highest level of e in Russian Federation
Russian Federation: Wittgenstein Projection: Population in thousands by highest level of e was 13.7 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Russian Federation, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Russian Federation recorded 13.7 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
The figure is down 2.9% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Russian Federation peaked at 103.8 in 2010 and was at its lowest, 13.7, in 2100.
That places Russian Federation 63rd out of 166 countries with data for 2100, putting it 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 | 87.62 | 71.45 | 103.8 | 2 |
| 2020s | 43.72 | 37.28 | 50.16 | 2 |
| 2030s | 27.86 | 25.74 | 29.98 | 2 |
| 2040s | 21.82 | 20.71 | 22.93 | 2 |
| 2050s | 18.21 | 17.52 | 18.91 | 2 |
| 2060s | 16.19 | 15.84 | 16.54 | 2 |
| 2070s | 15.11 | 14.89 | 15.32 | 2 |
| 2080s | 14.43 | 14.3 | 14.55 | 2 |
| 2090s | 14.02 | 13.92 | 14.11 | 2 |
| 2100s | 13.7 | 13.7 | 13.7 | 1 |
Countries ranked near Russian Federation
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 wittgenstein projection: population in thousands by highest level of e in Russian Federation?
- Wittgenstein projection: population in thousands by highest level of e in Russian Federation was 13.7 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 Russian Federation?
- The highest recorded value was 103.8 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Russian Federation?
- The lowest recorded value was 13.7 in 2100.
- How does Russian Federation rank for wittgenstein projection: population in thousands by highest level of e?
- Russian Federation ranks 63rd out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Russian Federation?
- Over the last ten years it is down 2.9%. The long-run trend across the full record is volatile.
- Where does this Russian Federation 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. Incomplete Primary. 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 pre-primary education or incomplete primary 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/