Wittgenstein Projection: Population in thousands by highest level of e in Bahrain
Bahrain: Wittgenstein Projection: Population in thousands by highest level of e was 0.8 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Bahrain, 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 Bahrain stood at 0.8. That is the lowest value across all 19 years on record.
Compared with earlier readings it is down 20.0% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Bahrain peaked at 29.76 in 2010 and was at its lowest, 0.8, in 2100.
Bahrain ranks 124th 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 | 29 | 28.23 | 29.76 | 2 |
| 2020s | 24.48 | 23.19 | 25.76 | 2 |
| 2030s | 19.32 | 18.04 | 20.61 | 2 |
| 2040s | 14.02 | 12.66 | 15.37 | 2 |
| 2050s | 8.82 | 7.61 | 10.03 | 2 |
| 2060s | 4.72 | 3.9 | 5.55 | 2 |
| 2070s | 2.31 | 1.92 | 2.7 | 2 |
| 2080s | 1.3 | 1.17 | 1.44 | 2 |
| 2090s | 0.945 | 0.89 | 1 | 2 |
| 2100s | 0.8 | 0.8 | 0.8 | 1 |
Countries ranked near Bahrain
More reference data data for Bahrain
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 0.3505 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0873 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0859 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 22.77 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0191 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0528 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 23.12 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0013 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 0.9102 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 0.0003 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Bahrain?
- Wittgenstein projection: population in thousands by highest level of e in Bahrain was 0.8 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 Bahrain?
- The highest recorded value was 29.76 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Bahrain?
- The lowest recorded value was 0.8 in 2100.
- How does Bahrain rank for wittgenstein projection: population in thousands by highest level of e?
- Bahrain ranks 124th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Bahrain?
- Over the last ten years it is down 20.0%. The long-run trend across the full record is volatile.
- Where does this Bahrain 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/