Wittgenstein Projection: Population in thousands by highest level of e in Serbia
Serbia: Wittgenstein Projection: Population in thousands by highest level of e was 4,330 in 2100. ▬ Flat
Wittgenstein Projection: Population in thousands by highest level of e in Serbia, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Serbia is 4,330, measured in 2100.
The figure is down 8.4% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Serbia peaked at 5,690 in 2050 and was at its lowest, 4,210, in 2010.
Serbia ranks 79th of 166 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 4,391 | 4,210 | 4,572 | 2 |
| 2020s | 5,009 | 4,870 | 5,147 | 2 |
| 2030s | 5,414 | 5,351 | 5,476 | 2 |
| 2040s | 5,614 | 5,577 | 5,651 | 2 |
| 2050s | 5,690 | 5,690 | 5,690 | 2 |
| 2060s | 5,603 | 5,558 | 5,648 | 2 |
| 2070s | 5,354 | 5,278 | 5,430 | 2 |
| 2080s | 5,013 | 4,921 | 5,106 | 2 |
| 2090s | 4,627 | 4,527 | 4,727 | 2 |
| 2100s | 4,330 | 4,330 | 4,330 | 1 |
Countries ranked near Serbia
- 76 Tajikistan 4,557 compare
- 77 Honduras 4,479 compare
- 78 Burundi 4,460 compare
- 80 South Korea 4,291 compare
- 81 Dominican Republic 4,254 compare
- 82 Sierra Leone 4,237 compare
More reference data data for Serbia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6055 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3321 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.36 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3467 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 3.36 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.03 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.29 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.44 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 15.2 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.89 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Serbia?
- Wittgenstein projection: population in thousands by highest level of e in Serbia was 4,330 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 Serbia?
- The highest recorded value was 5,690 in 2050.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Serbia?
- The lowest recorded value was 4,210 in 2010.
- How does Serbia rank for wittgenstein projection: population in thousands by highest level of e?
- Serbia ranks 79th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Serbia?
- Over the last ten years it is down 8.4%. The long-run trend across the full record is flat.
- Where does this Serbia 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. Upper Secondary. Total. Statizoid updates them automatically from the source API.
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About this data
Total population in thousands 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/