Wittgenstein Projection: Population age 20-24 in thousands by highest in Belarus
Belarus: Wittgenstein Projection: Population age 20-24 in thousands by highest was 32.06 in 2100. βΌ Falling
Wittgenstein Projection: Population age 20-24 in thousands by highest in Belarus, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Belarus recorded 32.06 for wittgenstein projection: population age 20-24 in thousands by highest in 2100.
Compared with earlier readings it is down 0.5% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Belarus peaked at 46.27 in 2010 and was at its lowest, 31.26, in 2020.
Belarus ranks 101st of 166 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 41.9 | 37.52 | 46.27 | 2 |
| 2020s | 31.62 | 31.26 | 31.98 | 2 |
| 2030s | 39.59 | 37.81 | 41.38 | 2 |
| 2040s | 37.17 | 35.37 | 38.98 | 2 |
| 2050s | 32.09 | 31.83 | 32.34 | 2 |
| 2060s | 34.13 | 33.33 | 34.94 | 2 |
| 2070s | 33.88 | 33.09 | 34.67 | 2 |
| 2080s | 31.67 | 31.6 | 31.74 | 2 |
| 2090s | 32.4 | 32.22 | 32.58 | 2 |
| 2100s | 32.06 | 32.06 | 32.06 | 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 age 20-24 in thousands by highest in Belarus?
- Wittgenstein projection: population age 20-24 in thousands by highest in Belarus was 32.06 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 age 20-24 in thousands by highest recorded in Belarus?
- The highest recorded value was 46.27 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Belarus?
- The lowest recorded value was 31.26 in 2020.
- How does Belarus rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Belarus ranks 101st out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Belarus?
- Over the last ten years it is down 0.5%. The long-run trend across the full record is falling.
- 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 age 20-24 in thousands by highest level of educational attainment. Post 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 in the specified age group that has completed post-secondary or tertiary 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/