Wittgenstein Projection: Population age 25-29 in thousands by highest in Sweden
Sweden: Wittgenstein Projection: Population age 25-29 in thousands by highest was 0.18 in 2100. β Volatile
Wittgenstein Projection: Population age 25-29 in thousands by highest in Sweden, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population age 25-29 in thousands by highest in Sweden stood at 0.18.
The figure is down 5.3% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Sweden peaked at 0.19 in 2070 and was at its lowest, 0, in 2010.
That places Sweden 77th 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0 | 0 | 0 | 2 |
| 2020s | 0.03 | 0 | 0.06 | 2 |
| 2030s | 0.085 | 0.07 | 0.1 | 2 |
| 2040s | 0.12 | 0.11 | 0.13 | 2 |
| 2050s | 0.16 | 0.15 | 0.17 | 2 |
| 2060s | 0.18 | 0.18 | 0.18 | 2 |
| 2070s | 0.19 | 0.19 | 0.19 | 2 |
| 2080s | 0.19 | 0.19 | 0.19 | 2 |
| 2090s | 0.19 | 0.19 | 0.19 | 2 |
| 2100s | 0.18 | 0.18 | 0.18 | 1 |
Countries ranked near Sweden
- 75 Tajikistan 0.21 compare
- 76 Israel 0.2 compare
- 77 Ireland 0.18 compare
- 79 Greece 0.16 compare
- 79 Guinea-Bissau 0.16 compare
More reference data data for Sweden
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4328 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2237 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.68 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2063 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.68 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.45 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.9766 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.13 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 8.03 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.12 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 25-29 in thousands by highest in Sweden?
- Wittgenstein projection: population age 25-29 in thousands by highest in Sweden was 0.18 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 25-29 in thousands by highest recorded in Sweden?
- The highest recorded value was 0.19 in 2070.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Sweden?
- The lowest recorded value was 0 in 2010.
- How does Sweden rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Sweden ranks 77th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Sweden?
- Over the last ten years it is down 5.3%. The long-run trend across the full record is volatile.
- Where does this Sweden 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 25-29 in thousands by highest level of educational attainment. No Education. 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 never attended school. 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/