Wittgenstein Projection: Population in thousands by highest level of e in Nepal
Nepal: Wittgenstein Projection: Population in thousands by highest level of e was 938.48 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
Nepal recorded 938.48 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 29.1% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Nepal peaked at 2,331 in 2050 and was at its lowest, 938.48, in 2100.
Nepal ranks 47th 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 | 1,229 | 1,052 | 1,407 | 2 |
| 2020s | 1,746 | 1,653 | 1,840 | 2 |
| 2030s | 2,085 | 2,014 | 2,156 | 2 |
| 2040s | 2,282 | 2,255 | 2,310 | 2 |
| 2050s | 2,325 | 2,319 | 2,331 | 2 |
| 2060s | 2,228 | 2,185 | 2,271 | 2 |
| 2070s | 1,986 | 1,908 | 2,064 | 2 |
| 2080s | 1,627 | 1,528 | 1,725 | 2 |
| 2090s | 1,224 | 1,125 | 1,324 | 2 |
| 2100s | 938.48 | 938.48 | 938.48 | 1 |
Countries ranked near Nepal
More reference data data for Nepal
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7753 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.14 (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) - Manure left on Pasture 2.5 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 18.47 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 2,990 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 211.32 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 688.89 (2050)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 14.33 (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 938.48 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 2,331 in 2050.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Nepal?
- The lowest recorded value was 938.48 in 2100.
- How does Nepal rank for wittgenstein projection: population in thousands by highest level of e?
- Nepal ranks 47th 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 29.1%. 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. Female. 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 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/