Wittgenstein Projection: Population age 25-29 in thousands by highest in Nepal
Nepal: Wittgenstein Projection: Population age 25-29 in thousands by highest was 568.6 in 2100. ▲ Rising
Wittgenstein Projection: Population age 25-29 in thousands by highest 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 age 25-29 in thousands by highest in Nepal stood at 568.6. That is the highest value across all 19 years on record.
The figure is up 6.7% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Nepal peaked at 568.6 in 2100 and was at its lowest, 114.39, in 2010.
Nepal ranks 36th of 166 countries on this measure, 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 | 130.84 | 114.39 | 147.28 | 2 |
| 2020s | 198.88 | 181.97 | 215.78 | 2 |
| 2030s | 241 | 239.07 | 242.92 | 2 |
| 2040s | 295.47 | 277.56 | 313.37 | 2 |
| 2050s | 348.08 | 340.18 | 355.97 | 2 |
| 2060s | 395.03 | 378.85 | 411.21 | 2 |
| 2070s | 456.03 | 442.21 | 469.85 | 2 |
| 2080s | 508.23 | 497.44 | 519.02 | 2 |
| 2090s | 541.87 | 532.92 | 550.81 | 2 |
| 2100s | 568.6 | 568.6 | 568.6 | 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) - 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 age 25-29 in thousands by highest in Nepal?
- Wittgenstein projection: population age 25-29 in thousands by highest in Nepal was 568.6 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 age 25-29 in thousands by highest recorded in Nepal?
- The highest recorded value was 568.6 in 2100.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Nepal?
- The lowest recorded value was 114.39 in 2010.
- How does Nepal rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Nepal ranks 36th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Nepal?
- Over the last ten years it is up 6.7%. 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 age 25-29 in thousands by highest level of educational attainment. Post Secondary. Male. 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 in the specified age group 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/