Wittgenstein Projection: Population in thousands by highest level of e in Bhutan
Bhutan: Wittgenstein Projection: Population in thousands by highest level of e was 4.67 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
Bhutan recorded 4.67 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
The figure is down 47.2% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Bhutan peaked at 63.48 in 2025 and was at its lowest, 4.67, in 2100.
Bhutan ranks 86th of 166 countries on this measure, 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 | 57.83 | 55.73 | 59.92 | 2 |
| 2020s | 63.07 | 62.66 | 63.48 | 2 |
| 2030s | 62.21 | 61.39 | 63.03 | 2 |
| 2040s | 56.65 | 54.72 | 58.58 | 2 |
| 2050s | 47.18 | 44.42 | 49.94 | 2 |
| 2060s | 35.29 | 32.17 | 38.41 | 2 |
| 2070s | 23.29 | 20.51 | 26.07 | 2 |
| 2080s | 13.82 | 11.88 | 15.75 | 2 |
| 2090s | 7.66 | 6.48 | 8.84 | 2 |
| 2100s | 4.67 | 4.67 | 4.67 | 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 4.67 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 63.48 in 2025.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Bhutan?
- The lowest recorded value was 4.67 in 2100.
- How does Bhutan rank for wittgenstein projection: population in thousands by highest level of e?
- Bhutan ranks 86th 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 47.2%. 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. Incomplete Primary. 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 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/