Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Belarus
Belarus: Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap was -0.03 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Belarus, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: mean years of schooling. age 15+. gender gap in Belarus stood at -0.03.
That represents a change of up 57.1% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 15+. gender gap in Belarus peaked at 0.17 in 2010 and was at its lowest, -0.22, in 2050.
That places Belarus 119th 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.
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Belarus, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.17 | — |
| 2015 | 0.07 | -58.8% |
| 2020 | -0.01 | -114.3% |
| 2025 | -0.09 | +800.0% |
| 2030 | -0.15 | +66.7% |
| 2035 | -0.18 | +20.0% |
| 2040 | -0.2 | +11.1% |
| 2045 | -0.21 | +5.0% |
| 2050 | -0.22 | +4.8% |
| 2055 | -0.22 | -0.0% |
| 2060 | -0.21 | -4.5% |
| 2065 | -0.2 | -4.8% |
| 2070 | -0.18 | -10.0% |
| 2075 | -0.16 | -11.1% |
| 2080 | -0.13 | -18.8% |
| 2085 | -0.1 | -23.1% |
| 2090 | -0.07 | -30.0% |
| 2095 | -0.05 | -28.6% |
| 2100 | -0.03 | -40.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.12 | 0.07 | 0.17 | 2 |
| 2020s | -0.05 | -0.09 | -0.01 | 2 |
| 2030s | -0.165 | -0.18 | -0.15 | 2 |
| 2040s | -0.205 | -0.21 | -0.2 | 2 |
| 2050s | -0.22 | -0.22 | -0.22 | 2 |
| 2060s | -0.205 | -0.21 | -0.2 | 2 |
| 2070s | -0.17 | -0.18 | -0.16 | 2 |
| 2080s | -0.115 | -0.13 | -0.1 | 2 |
| 2090s | -0.06 | -0.07 | -0.05 | 2 |
| 2100s | -0.03 | -0.03 | -0.03 | 1 |
Countries ranked near Belarus
- 119 Aruba -0.03 compare
- 119 Canada -0.03 compare
- 119 French Polynesia -0.03 compare
- 119 Hungary -0.03 compare
- 119 Korea -0.03 compare
- 119 Luxembourg -0.03 compare
- 119 Saint Vincent and the Grenadines -0.03 compare
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: mean years of schooling. age 15+. gender gap in Belarus?
- Wittgenstein projection: mean years of schooling. age 15+. gender gap in Belarus was -0.03 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: mean years of schooling. age 15+. gender gap recorded in Belarus?
- The highest recorded value was 0.17 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 15+. gender gap recorded in Belarus?
- The lowest recorded value was -0.22 in 2050.
- How does Belarus rank for wittgenstein projection: mean years of schooling. age 15+. gender gap?
- Belarus ranks 119th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 15+. gender gap rising or falling in Belarus?
- Over the last ten years it is up 57.1%. 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: Mean Years of Schooling. Age 15+. Gender Gap. Statizoid updates them automatically from the source API.
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About this data
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. 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/