Wittgenstein Projection: Population age 20-24 in thousands by highest in Austria
Austria: Wittgenstein Projection: Population age 20-24 in thousands by highest was 0 in 2100. β¬ Flat
Wittgenstein Projection: Population age 20-24 in thousands by highest in Austria, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Austria recorded 0 for wittgenstein projection: population age 20-24 in thousands by highest in 2100. That is the highest value across all 19 years on record.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Austria peaked at 0 in 2010 and was at its lowest, 0, in 2010.
That places Austria 150th out of 166 countries with data for 2100, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0 | 0 | 0 | 2 |
| 2020s | 0 | 0 | 0 | 2 |
| 2030s | 0 | 0 | 0 | 2 |
| 2040s | 0 | 0 | 0 | 2 |
| 2050s | 0 | 0 | 0 | 2 |
| 2060s | 0 | 0 | 0 | 2 |
| 2070s | 0 | 0 | 0 | 2 |
| 2080s | 0 | 0 | 0 | 2 |
| 2090s | 0 | 0 | 0 | 2 |
| 2100s | 0 | 0 | 0 | 1 |
Countries ranked near Austria
- 150 Aruba, Kingdom of the Netherlands 0 compare
- 150 Bahamas, The 0 compare
- 150 Cabo Verde 0 compare
- 150 Congo, Republic of 0 compare
- 150 Denmark 0 compare
- 150 Finland 0 compare
- 150 Macao Special Administrative Region, People's Republic of China 0 compare
- 150 Mauritius 0 compare
- 150 Moldova, Republic of 0 compare
- 150 Samoa 0 compare
- 150 Slovenia, Republic of 0 compare
- 150 St. Lucia 0 compare
- 150 Suriname 0 compare
- 150 Switzerland 0 compare
- 150 Tonga 0 compare
- 150 Uganda 0 compare
More reference data data for Austria
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6222 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2597 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.55 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1986 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.55 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.09 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.37 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.36 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 7.84 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.08 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Austria?
- Wittgenstein projection: population age 20-24 in thousands by highest in Austria was 0 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 20-24 in thousands by highest recorded in Austria?
- The highest recorded value was 0 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Austria?
- The lowest recorded value was 0 in 2010.
- How does Austria rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Austria ranks 150th out of 166 countries with data for 2100.
- Where does this Austria 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 20-24 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/