Wittgenstein Projection: Population in thousands by highest level of e in Nepal
Nepal: Wittgenstein Projection: Population in thousands by highest level of e was 12,573 in 2100. ◆ Volatile
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
Nepal recorded 12,573 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the highest value across all 19 years on record.
The figure is up 14.6% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Nepal peaked at 12,573 in 2100 and was at its lowest, 668.68, in 2010.
Nepal ranks 42nd of 166 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 796.39 | 668.68 | 924.11 | 2 |
| 2020s | 1,444 | 1,249 | 1,640 | 2 |
| 2030s | 2,319 | 2,077 | 2,562 | 2 |
| 2040s | 3,440 | 3,122 | 3,758 | 2 |
| 2050s | 4,813 | 4,448 | 5,178 | 2 |
| 2060s | 6,347 | 5,945 | 6,750 | 2 |
| 2070s | 8,008 | 7,583 | 8,434 | 2 |
| 2080s | 9,715 | 9,292 | 10,139 | 2 |
| 2090s | 11,374 | 10,967 | 11,781 | 2 |
| 2100s | 12,573 | 12,573 | 12,573 | 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 12,573 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 12,573 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Nepal?
- The lowest recorded value was 668.68 in 2010.
- How does Nepal rank for wittgenstein projection: population in thousands by highest level of e?
- Nepal ranks 42nd 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 up 14.6%. The long-run trend across the full record is volatile.
- 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. Post Secondary. Total. Statizoid updates them automatically from the source API.
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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 completed post-secondary or tertiary 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/