Wittgenstein Projection: Population in thousands by highest level of e in Pakistan
Pakistan: Wittgenstein Projection: Population in thousands by highest level of e was 9,923 in 2100. βΌ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Pakistan, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Pakistan recorded 9,923 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
The figure is down 36.3% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Pakistan peaked at 60,671 in 2025 and was at its lowest, 9,923, in 2100.
Pakistan ranks 2nd of 166 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 57,982 | 56,724 | 59,240 | 2 |
| 2020s | 60,482 | 60,292 | 60,671 | 2 |
| 2030s | 59,745 | 59,150 | 60,339 | 2 |
| 2040s | 55,492 | 53,972 | 57,011 | 2 |
| 2050s | 48,098 | 45,980 | 50,217 | 2 |
| 2060s | 39,010 | 36,632 | 41,389 | 2 |
| 2070s | 29,589 | 27,292 | 31,886 | 2 |
| 2080s | 21,024 | 19,062 | 22,987 | 2 |
| 2090s | 14,048 | 12,525 | 15,572 | 2 |
| 2100s | 9,923 | 9,923 | 9,923 | 1 |
Countries ranked near Pakistan
More reference data data for Pakistan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 6.05 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 20.96 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 61.26 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.98 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 61.26 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 20.3 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 5.75 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 91.27 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 260 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 10.79 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Pakistan?
- Wittgenstein projection: population in thousands by highest level of e in Pakistan was 9,923 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 Pakistan?
- The highest recorded value was 60,671 in 2025.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Pakistan?
- The lowest recorded value was 9,923 in 2100.
- How does Pakistan rank for wittgenstein projection: population in thousands by highest level of e?
- Pakistan ranks 2nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Pakistan?
- Over the last ten years it is down 36.3%. The long-run trend across the full record is falling.
- Where does this Pakistan 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 Β· JSON β 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/