Wittgenstein Projection: Population in thousands by highest level of e in Qatar
Qatar: Wittgenstein Projection: Population in thousands by highest level of e was 8.91 in 2100. ▼ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Qatar, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in Qatar stood at 8.91. That is the lowest value across all 19 years on record.
The figure is down 36.2% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Qatar peaked at 69.73 in 2025 and was at its lowest, 8.91, in 2100.
Qatar ranks 87th of 166 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 63.76 | 60.97 | 66.55 | 2 |
| 2020s | 69.09 | 68.46 | 69.73 | 2 |
| 2030s | 69.12 | 68.5 | 69.73 | 2 |
| 2040s | 64.39 | 62.67 | 66.11 | 2 |
| 2050s | 55.62 | 53.01 | 58.23 | 2 |
| 2060s | 43.82 | 40.56 | 47.08 | 2 |
| 2070s | 30.7 | 27.53 | 33.87 | 2 |
| 2080s | 19.74 | 17.49 | 21.99 | 2 |
| 2090s | 12.57 | 11.18 | 13.96 | 2 |
| 2100s | 8.91 | 8.91 | 8.91 | 1 |
Countries ranked near Qatar
More reference data data for Qatar
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 8.03 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0059 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0003 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 0.2869 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 2.65 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 2.36 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 0.0003 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0493 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 5.28 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 46.27 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Qatar?
- Wittgenstein projection: population in thousands by highest level of e in Qatar was 8.91 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 Qatar?
- The highest recorded value was 69.73 in 2025.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Qatar?
- The lowest recorded value was 8.91 in 2100.
- How does Qatar rank for wittgenstein projection: population in thousands by highest level of e?
- Qatar ranks 87th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Qatar?
- Over the last ten years it is down 36.2%. The long-run trend across the full record is falling.
- Where does this Qatar 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. No Education. Total. 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 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/