Wittgenstein Projection: Population in thousands by highest level of e in Chad
Chad: Wittgenstein Projection: Population in thousands by highest level of e was 10,688 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Chad, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Chad recorded 10,688 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the highest value across all 19 years on record.
Compared with earlier readings it is up 22.6% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Chad peaked at 10,688 in 2100 and was at its lowest, 109.66, in 2010.
Chad ranks 55th 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 | 139.5 | 109.66 | 169.35 | 2 |
| 2020s | 319.38 | 256.61 | 382.14 | 2 |
| 2030s | 676.08 | 557.86 | 794.3 | 2 |
| 2040s | 1,305 | 1,106 | 1,504 | 2 |
| 2050s | 2,290 | 1,997 | 2,583 | 2 |
| 2060s | 3,633 | 3,255 | 4,011 | 2 |
| 2070s | 5,308 | 4,851 | 5,765 | 2 |
| 2080s | 7,227 | 6,732 | 7,721 | 2 |
| 2090s | 9,211 | 8,715 | 9,708 | 2 |
| 2100s | 10,688 | 10,688 | 10,688 | 1 |
Countries ranked near Chad
More reference data data for Chad
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.01 (2050)
- Temperature anomalies by month 3.03 °C (2026)
- Summer temperature anomalies 1 °C (2026)
- Spring temperature anomalies 0.1244 °C (2026)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 146.4 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.7242 (2050)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 46.55 (2050)
- Emission Totals - Direct emissions (N2O) - Crop Residues 0.7988 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 30.4 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 15,516 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Chad?
- Wittgenstein projection: population in thousands by highest level of e in Chad was 10,688 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 Chad?
- The highest recorded value was 10,688 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Chad?
- The lowest recorded value was 109.66 in 2010.
- How does Chad rank for wittgenstein projection: population in thousands by highest level of e?
- Chad ranks 55th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Chad?
- Over the last ten years it is up 22.6%. The long-run trend across the full record is volatile.
- Where does this Chad 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. Upper Secondary. Total. 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 completed upper secondary or incomplete post-secondary 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/