Wittgenstein Projection: Population in thousands by highest level of e in Nepal
Nepal: Wittgenstein Projection: Population in thousands by highest level of e was 1,651 in 2100. ▼ Falling
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
In 2100, wittgenstein projection: population in thousands by highest level of e in Nepal stood at 1,651. That is the lowest value across all 19 years on record.
That represents a change of down 28.9% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Nepal peaked at 4,315 in 2050 and was at its lowest, 1,651, in 2100.
Nepal ranks 48th 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 | 2,597 | 2,330 | 2,864 | 2 |
| 2020s | 3,433 | 3,281 | 3,585 | 2 |
| 2030s | 3,987 | 3,873 | 4,102 | 2 |
| 2040s | 4,283 | 4,251 | 4,315 | 2 |
| 2050s | 4,284 | 4,252 | 4,315 | 2 |
| 2060s | 4,026 | 3,929 | 4,122 | 2 |
| 2070s | 3,529 | 3,378 | 3,679 | 2 |
| 2080s | 2,861 | 2,683 | 3,040 | 2 |
| 2090s | 2,149 | 1,974 | 2,323 | 2 |
| 2100s | 1,651 | 1,651 | 1,651 | 1 |
Countries ranked near Nepal
- 45 Colombia 1,824 compare
- 47 Argentina 1,732 compare
- 49 Iran 1,646 compare
- 50 United Kingdom 1,585 compare
- 51 Sierra Leone 1,531 compare
More reference data data for Nepal
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7753 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.14 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.7853 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.14 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.6 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.7974 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 11.28 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 19.44 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.28 (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 1,651 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 4,315 in 2050.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Nepal?
- The lowest recorded value was 1,651 in 2100.
- How does Nepal rank for wittgenstein projection: population in thousands by highest level of e?
- Nepal ranks 48th 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 28.9%. The long-run trend across the full record is falling.
- 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. Primary. Total. 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/