Wittgenstein Projection: Population age 15-19 in thousands by highest in Canada
Canada: Wittgenstein Projection: Population age 15-19 in thousands by highest was 1,015 in 2100. ▲ Rising
Wittgenstein Projection: Population age 15-19 in thousands by highest in Canada, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population age 15-19 in thousands by highest in Canada stood at 1,015.
The figure is down 1.6% over ten years.
Over the whole period, wittgenstein projection: population age 15-19 in thousands by highest in Canada peaked at 1,050 in 2075 and was at its lowest, 668.92, in 2020.
That places Canada 15th out of 166 countries with data for 2100, putting it in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 721.91 | 691.94 | 751.88 | 2 |
| 2020s | 706.4 | 668.92 | 743.89 | 2 |
| 2030s | 794.48 | 761.79 | 827.18 | 2 |
| 2040s | 884.06 | 874.98 | 893.14 | 2 |
| 2050s | 912.91 | 899.58 | 926.25 | 2 |
| 2060s | 990.44 | 969.08 | 1,012 | 2 |
| 2070s | 1,046 | 1,042 | 1,050 | 2 |
| 2080s | 1,042 | 1,038 | 1,047 | 2 |
| 2090s | 1,028 | 1,026 | 1,031 | 2 |
| 2100s | 1,015 | 1,015 | 1,015 | 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: population age 15-19 in thousands by highest in Canada?
- Wittgenstein projection: population age 15-19 in thousands by highest in Canada was 1,015 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 15-19 in thousands by highest recorded in Canada?
- The highest recorded value was 1,050 in 2075.
- What is the lowest wittgenstein projection: population age 15-19 in thousands by highest recorded in Canada?
- The lowest recorded value was 668.92 in 2020.
- How does Canada rank for wittgenstein projection: population age 15-19 in thousands by highest?
- Canada ranks 15th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 15-19 in thousands by highest rising or falling in Canada?
- Over the last ten years it is down 1.6%. The long-run trend across the full record is rising.
- 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: Population age 15-19 in thousands by highest level of educational attainment. Upper Secondary. Male. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 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 upper secondary or incomplete post-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/