Wittgenstein Projection: Population age 20-24 in thousands by highest in Cameroon
Cameroon: Wittgenstein Projection: Population age 20-24 in thousands by highest was 0.63 in 2100. β Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Cameroon, 2010β2100
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 age 20-24 in thousands by highest in Cameroon is 0.63, measured in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 7.4% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Cameroon peaked at 123.42 in 2010 and was at its lowest, 0.63, in 2100.
That places Cameroon 60th 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 | 106.2 | 88.98 | 123.42 | 2 |
| 2020s | 50.33 | 41.3 | 59.35 | 2 |
| 2030s | 22.23 | 16.81 | 27.64 | 2 |
| 2040s | 7.84 | 5.78 | 9.89 | 2 |
| 2050s | 2.83 | 2.16 | 3.49 | 2 |
| 2060s | 1.33 | 1.1 | 1.57 | 2 |
| 2070s | 0.785 | 0.75 | 0.82 | 2 |
| 2080s | 0.71 | 0.7 | 0.72 | 2 |
| 2090s | 0.675 | 0.67 | 0.68 | 2 |
| 2100s | 0.63 | 0.63 | 0.63 | 1 |
Countries ranked near Cameroon
More reference data data for Cameroon
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4076 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 3.49 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.56 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.199 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.56 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.37 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.54 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 17.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 23.23 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.08 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Cameroon?
- Wittgenstein projection: population age 20-24 in thousands by highest in Cameroon was 0.63 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 20-24 in thousands by highest recorded in Cameroon?
- The highest recorded value was 123.42 in 2010.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Cameroon?
- The lowest recorded value was 0.63 in 2100.
- How does Cameroon rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Cameroon ranks 60th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Cameroon?
- Over the last ten years it is down 7.4%. The long-run trend across the full record is volatile.
- Where does this Cameroon 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 20-24 in thousands by highest level of educational attainment. No Education. 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 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/