Wittgenstein Projection: Population in thousands by highest level of e in Belarus
Belarus: Wittgenstein Projection: Population in thousands by highest level of e was 40.59 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Belarus, 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 Belarus is 40.59, measured in 2100. That is the lowest value across all 19 years on record.
The figure is down 15.2% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Belarus peaked at 410.11 in 2010 and was at its lowest, 40.59, in 2100.
Belarus ranks 136th of 166 countries on this measure, in the bottom quarter.
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 | 367.24 | 324.37 | 410.11 | 2 |
| 2020s | 250.94 | 234.2 | 267.68 | 2 |
| 2030s | 184.44 | 165.57 | 203.32 | 2 |
| 2040s | 119.13 | 106.36 | 131.9 | 2 |
| 2050s | 89.27 | 86.5 | 92.03 | 2 |
| 2060s | 78.98 | 75.08 | 82.89 | 2 |
| 2070s | 62.34 | 58.52 | 66.15 | 2 |
| 2080s | 52.09 | 50.59 | 53.6 | 2 |
| 2090s | 46.14 | 44.44 | 47.85 | 2 |
| 2100s | 40.59 | 40.59 | 40.59 | 1 |
Countries ranked near Belarus
More reference data data for Belarus
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.25 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3462 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 5.24 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3596 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 5.24 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 4.18 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 2.85 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.84 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 24.26 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.96 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Belarus?
- Wittgenstein projection: population in thousands by highest level of e in Belarus was 40.59 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 Belarus?
- The highest recorded value was 410.11 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Belarus?
- The lowest recorded value was 40.59 in 2100.
- How does Belarus rank for wittgenstein projection: population in thousands by highest level of e?
- Belarus ranks 136th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Belarus?
- Over the last ten years it is down 15.2%. The long-run trend across the full record is volatile.
- Where does this Belarus 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/