Wittgenstein Projection: Population in thousands by highest level of e in Bhutan
Bhutan: Wittgenstein Projection: Population in thousands by highest level of e was 10.49 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Bhutan, 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 Bhutan stood at 10.49. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 44.7% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Bhutan peaked at 139.59 in 2015 and was at its lowest, 10.49, in 2100.
That places Bhutan 69th out of 166 countries with data for 2100, putting it in the middle of the range.
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 | 139.51 | 139.44 | 139.59 | 2 |
| 2020s | 135.7 | 133.69 | 137.72 | 2 |
| 2030s | 124.88 | 121.51 | 128.26 | 2 |
| 2040s | 108.94 | 104.39 | 113.48 | 2 |
| 2050s | 89.03 | 83.72 | 94.34 | 2 |
| 2060s | 67.23 | 61.7 | 72.77 | 2 |
| 2070s | 46.12 | 41.18 | 51.06 | 2 |
| 2080s | 28.73 | 25.02 | 32.45 | 2 |
| 2090s | 16.58 | 14.18 | 18.98 | 2 |
| 2100s | 10.49 | 10.49 | 10.49 | 1 |
Countries ranked near Bhutan
More reference data data for Bhutan
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 1.09 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.5687 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 155.85 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.1192 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 19.25 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 4.06 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 92.47 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 1.89 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 24.08 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0909 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Bhutan?
- Wittgenstein projection: population in thousands by highest level of e in Bhutan was 10.49 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 Bhutan?
- The highest recorded value was 139.59 in 2015.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Bhutan?
- The lowest recorded value was 10.49 in 2100.
- How does Bhutan rank for wittgenstein projection: population in thousands by highest level of e?
- Bhutan ranks 69th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Bhutan?
- Over the last ten years it is down 44.7%. The long-run trend across the full record is volatile.
- Where does this Bhutan 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. No Education. 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 never attended school. 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/