Wittgenstein Projection: Population in thousands by highest level of e in Canada
Canada: Wittgenstein Projection: Population in thousands by highest level of e was 457.67 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Canada, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Canada recorded 457.67 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 11.2% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Canada peaked at 2,335 in 2010 and was at its lowest, 457.67, in 2100.
Canada ranks 89th 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2,239 | 2,142 | 2,335 | 2 |
| 2020s | 1,899 | 1,839 | 1,959 | 2 |
| 2030s | 1,613 | 1,546 | 1,680 | 2 |
| 2040s | 1,326 | 1,248 | 1,403 | 2 |
| 2050s | 1,034 | 970.81 | 1,097 | 2 |
| 2060s | 832.01 | 792.19 | 871.82 | 2 |
| 2070s | 692.31 | 660.73 | 723.89 | 2 |
| 2080s | 579.37 | 554.82 | 603.92 | 2 |
| 2090s | 500.02 | 484.45 | 515.6 | 2 |
| 2100s | 457.67 | 457.67 | 457.67 | 1 |
Countries ranked near Canada
More reference data data for Canada
- Emission Totals - Emissions (CH4) - Burning - Crop residues 14.51 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 5,838 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 4,209 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 24,381 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 99.72 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 240.08 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 1,255 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1,000 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 5,838 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 406.4 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Canada?
- Wittgenstein projection: population in thousands by highest level of e in Canada was 457.67 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 Canada?
- The highest recorded value was 2,335 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Canada?
- The lowest recorded value was 457.67 in 2100.
- How does Canada rank for wittgenstein projection: population in thousands by highest level of e?
- Canada ranks 89th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Canada?
- Over the last ten years it is down 11.2%. 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: Population in thousands by highest level of educational attainment. Lower Secondary. Total. Statizoid updates them automatically from the source API.
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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/