Wittgenstein Projection: Population in thousands by highest level of e in Chad
Chad: Wittgenstein Projection: Population in thousands by highest level of e was 5,417 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
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Chad is 5,417, measured in 2100. That is the highest value across all 19 years on record.
Compared with earlier readings it is up 23.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Chad peaked at 5,417 in 2100 and was at its lowest, 22.83, in 2010.
That places Chad 54th 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 | 32.36 | 22.83 | 41.9 | 2 |
| 2020s | 98.22 | 73.32 | 123.12 | 2 |
| 2030s | 252.09 | 198.24 | 305.95 | 2 |
| 2040s | 552.7 | 454.37 | 651.04 | 2 |
| 2050s | 1,052 | 900.72 | 1,203 | 2 |
| 2060s | 1,750 | 1,555 | 1,946 | 2 |
| 2070s | 2,617 | 2,380 | 2,854 | 2 |
| 2080s | 3,613 | 3,356 | 3,870 | 2 |
| 2090s | 4,646 | 4,387 | 4,905 | 2 |
| 2100s | 5,417 | 5,417 | 5,417 | 1 |
Countries ranked near Chad
More reference data data for Chad
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 7.46 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 14.01 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 1,294 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 48.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 61.14 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 58.55 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.9785 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0281 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.03 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 273.47 (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 5,417 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 5,417 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Chad?
- The lowest recorded value was 22.83 in 2010.
- How does Chad rank for wittgenstein projection: population in thousands by highest level of e?
- Chad ranks 54th 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 23.5%. 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. 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 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/