Wittgenstein Projection: Population in thousands by highest level of e in Pakistan
Pakistan: Wittgenstein Projection: Population in thousands by highest level of e was 7,707 in 2100. ▬ Flat
Wittgenstein Projection: Population in thousands by highest level of e in Pakistan, 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 Pakistan is 7,707, measured in 2100.
That represents a change of down 18.7% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Pakistan peaked at 13,430 in 2055 and was at its lowest, 6,774, in 2010.
That places Pakistan 9th out of 166 countries with data for 2100, putting it in the top 10%.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 7,648 | 6,774 | 8,523 | 2 |
| 2020s | 9,827 | 9,367 | 10,287 | 2 |
| 2030s | 11,606 | 11,196 | 12,016 | 2 |
| 2040s | 12,886 | 12,666 | 13,105 | 2 |
| 2050s | 13,392 | 13,355 | 13,430 | 2 |
| 2060s | 13,155 | 13,004 | 13,305 | 2 |
| 2070s | 12,199 | 11,882 | 12,515 | 2 |
| 2080s | 10,739 | 10,335 | 11,144 | 2 |
| 2090s | 9,040 | 8,598 | 9,482 | 2 |
| 2100s | 7,707 | 7,707 | 7,707 | 1 |
Countries ranked near Pakistan
- 6 Madagascar 9,375 compare
- 7 Bangladesh 9,274 compare
- 8 China 8,484 compare
- 10 Nigeria 4,614 compare
- 11 Sudan 4,267 compare
- 12 Burkina Faso 4,180 compare
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 7,707 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 13,430 in 2055.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Pakistan?
- The lowest recorded value was 6,774 in 2010.
- How does Pakistan rank for wittgenstein projection: population in thousands by highest level of e?
- Pakistan ranks 9th 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 18.7%. The long-run trend across the full record is flat.
- 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. Primary. Male. Statizoid updates them automatically from the source API.
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About this data
Total population in thousands that has completed primary education or incomplete lower 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/