Wittgenstein Projection: Population in thousands by highest level of e in Nepal
Nepal: Wittgenstein Projection: Population in thousands by highest level of e was 31,265 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Nepal, 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 Nepal is 31,265, measured in 2100.
Compared with earlier readings it is down 1.4% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Nepal peaked at 31,694 in 2090 and was at its lowest, 4,538, in 2010.
That places Nepal 22nd out of 166 countries with data for 2100, putting it in the top quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 5,354 | 4,538 | 6,171 | 2 |
| 2020s | 9,001 | 8,032 | 9,971 | 2 |
| 2030s | 13,209 | 12,054 | 14,364 | 2 |
| 2040s | 17,946 | 16,766 | 19,126 | 2 |
| 2050s | 22,486 | 21,399 | 23,572 | 2 |
| 2060s | 26,467 | 25,577 | 27,358 | 2 |
| 2070s | 29,480 | 28,875 | 30,085 | 2 |
| 2080s | 31,209 | 30,944 | 31,474 | 2 |
| 2090s | 31,655 | 31,617 | 31,694 | 2 |
| 2100s | 31,265 | 31,265 | 31,265 | 1 |
Countries ranked near Nepal
More reference data data for Nepal
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 1,421 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 11.28 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.7974 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.28 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 2,990 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.1768 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 211.32 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 24,171 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 6.82 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 18.47 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Nepal?
- Wittgenstein projection: population in thousands by highest level of e in Nepal was 31,265 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 Nepal?
- The highest recorded value was 31,694 in 2090.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Nepal?
- The lowest recorded value was 4,538 in 2010.
- How does Nepal rank for wittgenstein projection: population in thousands by highest level of e?
- Nepal ranks 22nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Nepal?
- Over the last ten years it is down 1.4%. The long-run trend across the full record is rising.
- Where does this Nepal 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/