Wittgenstein Projection: Population in thousands by highest level of e in Nepal
Nepal: Wittgenstein Projection: Population in thousands by highest level of e was 45.89 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 45.89. That is the lowest value across all 19 years on record.
The figure is down 47.4% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Nepal peaked at 421.39 in 2030 and was at its lowest, 45.89, in 2100.
Nepal ranks 43rd 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 | 385.82 | 378.83 | 392.82 | 2 |
| 2020s | 409.43 | 403.05 | 415.8 | 2 |
| 2030s | 420.7 | 420.02 | 421.39 | 2 |
| 2040s | 404.95 | 397.78 | 412.13 | 2 |
| 2050s | 363 | 349.04 | 376.96 | 2 |
| 2060s | 293.38 | 272.9 | 313.87 | 2 |
| 2070s | 208.82 | 187.89 | 229.75 | 2 |
| 2080s | 132.75 | 115.9 | 149.59 | 2 |
| 2090s | 75.56 | 63.94 | 87.19 | 2 |
| 2100s | 45.89 | 45.89 | 45.89 | 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 45.89 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 421.39 in 2030.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Nepal?
- The lowest recorded value was 45.89 in 2100.
- How does Nepal rank for wittgenstein projection: population in thousands by highest level of e?
- Nepal ranks 43rd 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 47.4%. 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. Incomplete Primary. Female. Statizoid updates them automatically from the source API.
Download this data
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 pre-primary education or incomplete primary 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/