Wittgenstein Projection: Population in thousands by highest level of e in Kuwait
Kuwait: Wittgenstein Projection: Population in thousands by highest level of e was 4.16 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Kuwait, 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 Kuwait stood at 4.16. That is the lowest value across all 19 years on record.
The figure is down 28.4% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Kuwait peaked at 86.26 in 2015 and was at its lowest, 4.16, in 2100.
That places Kuwait 87th 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 | 85.46 | 84.66 | 86.26 | 2 |
| 2020s | 82.47 | 80.88 | 84.05 | 2 |
| 2030s | 73.8 | 71.16 | 76.43 | 2 |
| 2040s | 61.97 | 58.65 | 65.3 | 2 |
| 2050s | 47.03 | 42.92 | 51.14 | 2 |
| 2060s | 30.12 | 25.97 | 34.28 | 2 |
| 2070s | 15.89 | 13.1 | 18.69 | 2 |
| 2080s | 8.25 | 7.14 | 9.37 | 2 |
| 2090s | 5.34 | 4.88 | 5.81 | 2 |
| 2100s | 4.16 | 4.16 | 4.16 | 1 |
Countries ranked near Kuwait
More reference data data for Kuwait
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.385 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.2165 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Enteric Fermentation 131.78 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Crop Residues 1.39 (2050)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 1.24 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Burning - Crop residues 0.0876 (2050)
- Emission Totals - Direct emissions (N2O) - Agricultural Soils 1.47 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Agricultural Soils 491.73 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 491.73 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 405.04 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Kuwait?
- Wittgenstein projection: population in thousands by highest level of e in Kuwait was 4.16 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 Kuwait?
- The highest recorded value was 86.26 in 2015.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Kuwait?
- The lowest recorded value was 4.16 in 2100.
- How does Kuwait rank for wittgenstein projection: population in thousands by highest level of e?
- Kuwait ranks 87th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Kuwait?
- Over the last ten years it is down 28.4%. The long-run trend across the full record is volatile.
- Where does this Kuwait 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/