Wittgenstein Projection: Population age 25-29 in thousands by highest in Chad
Chad: Wittgenstein Projection: Population age 25-29 in thousands by highest was 111.2 in 2100. β² Rising
Wittgenstein Projection: Population age 25-29 in thousands by highest in Chad, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population age 25-29 in thousands by highest in Chad stood at 111.2.
The figure is down 15.1% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Chad peaked at 155.66 in 2070 and was at its lowest, 14.91, in 2010.
That places Chad 32nd out of 166 countries with data for 2100, putting it in the top quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 18.48 | 14.91 | 22.04 | 2 |
| 2020s | 35.56 | 30.08 | 41.05 | 2 |
| 2030s | 63.22 | 55.5 | 70.93 | 2 |
| 2040s | 98 | 88.74 | 107.26 | 2 |
| 2050s | 133.44 | 125.93 | 140.96 | 2 |
| 2060s | 153.16 | 152.04 | 154.28 | 2 |
| 2070s | 155.11 | 154.56 | 155.66 | 2 |
| 2080s | 146.51 | 142.14 | 150.88 | 2 |
| 2090s | 125.97 | 120.95 | 131 | 2 |
| 2100s | 111.2 | 111.2 | 111.2 | 1 |
Countries ranked near Chad
More reference data data for Chad
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3078 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 13.52 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 14.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1797 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.01 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.03 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5525 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 58.55 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 61.14 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.9785 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 25-29 in thousands by highest in Chad?
- Wittgenstein projection: population age 25-29 in thousands by highest in Chad was 111.2 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 age 25-29 in thousands by highest recorded in Chad?
- The highest recorded value was 155.66 in 2070.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Chad?
- The lowest recorded value was 14.91 in 2010.
- How does Chad rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Chad ranks 32nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Chad?
- Over the last ten years it is down 15.1%. The long-run trend across the full record is rising.
- 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 age 25-29 in thousands by highest level of educational attainment. Lower Secondary. Female. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper 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/