Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in Canada
Canada: Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap was -0.02 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in Canada, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Canada recorded -0.02 for wittgenstein projection: mean years of schooling. age 25+. gender gap in 2100.
Compared with earlier readings it is up 50.0% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 25+. gender gap in Canada peaked at 0.09 in 2010 and was at its lowest, -0.12, in 2045.
Canada ranks 123rd of 166 countries on this measure, 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 25+. Gender Gap in Canada, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.09 | — |
| 2015 | 0.03 | -66.7% |
| 2020 | -0.02 | -166.7% |
| 2025 | -0.05 | +150.0% |
| 2030 | -0.08 | +60.0% |
| 2035 | -0.1 | +25.0% |
| 2040 | -0.11 | +10.0% |
| 2045 | -0.12 | +9.1% |
| 2050 | -0.12 | -0.0% |
| 2055 | -0.11 | -8.3% |
| 2060 | -0.11 | -0.0% |
| 2065 | -0.1 | -9.1% |
| 2070 | -0.09 | -10.0% |
| 2075 | -0.07 | -22.2% |
| 2080 | -0.06 | -14.3% |
| 2085 | -0.05 | -16.7% |
| 2090 | -0.04 | -20.0% |
| 2095 | -0.02 | -50.0% |
| 2100 | -0.02 | -0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.06 | 0.03 | 0.09 | 2 |
| 2020s | -0.035 | -0.05 | -0.02 | 2 |
| 2030s | -0.09 | -0.1 | -0.08 | 2 |
| 2040s | -0.115 | -0.12 | -0.11 | 2 |
| 2050s | -0.115 | -0.12 | -0.11 | 2 |
| 2060s | -0.105 | -0.11 | -0.1 | 2 |
| 2070s | -0.08 | -0.09 | -0.07 | 2 |
| 2080s | -0.055 | -0.06 | -0.05 | 2 |
| 2090s | -0.03 | -0.04 | -0.02 | 2 |
| 2100s | -0.02 | -0.02 | -0.02 | 1 |
Countries ranked near Canada
More reference data data for Canada
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.05 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 3.92 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 20.47 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.92 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 20.47 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 6.86 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 7.45 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 22.03 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 99.83 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 15.88 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 25+. gender gap in Canada?
- Wittgenstein projection: mean years of schooling. age 25+. gender gap in Canada was -0.02 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 25+. gender gap recorded in Canada?
- The highest recorded value was 0.09 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 25+. gender gap recorded in Canada?
- The lowest recorded value was -0.12 in 2045.
- How does Canada rank for wittgenstein projection: mean years of schooling. age 25+. gender gap?
- Canada ranks 123rd out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 25+. gender gap rising or falling in Canada?
- Over the last ten years it is up 50.0%. The long-run trend across the full record is volatile.
- Where does this Canada 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 25+. Gender Gap. Statizoid updates them automatically from the source API.
Download this data
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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/