Wittgenstein Projection: Population in thousands by highest level of e in Cameroon
Cameroon: Wittgenstein Projection: Population in thousands by highest level of e was 13.44 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Cameroon, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Cameroon recorded 13.44 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
The figure is down 47.7% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Cameroon peaked at 794.74 in 2010 and was at its lowest, 13.44, in 2100.
That places Cameroon 62nd 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 | 757.53 | 720.32 | 794.74 | 2 |
| 2020s | 608.09 | 569.67 | 646.51 | 2 |
| 2030s | 459.63 | 423.92 | 495.34 | 2 |
| 2040s | 327.81 | 298.31 | 357.32 | 2 |
| 2050s | 221.37 | 197.71 | 245.02 | 2 |
| 2060s | 140.19 | 122.89 | 157.49 | 2 |
| 2070s | 81.47 | 69.26 | 93.69 | 2 |
| 2080s | 43.16 | 36.04 | 50.28 | 2 |
| 2090s | 22.02 | 18.33 | 25.71 | 2 |
| 2100s | 13.44 | 13.44 | 13.44 | 1 |
Countries ranked near Cameroon
More reference data data for Cameroon
- Emission Totals - Emissions (CH4) - Manure Management 15.27 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 6,155 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 21.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.37 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.56 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 9,946 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 427.48 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0641 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.54 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 330.76 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Cameroon?
- Wittgenstein projection: population in thousands by highest level of e in Cameroon was 13.44 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 Cameroon?
- The highest recorded value was 794.74 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Cameroon?
- The lowest recorded value was 13.44 in 2100.
- How does Cameroon rank for wittgenstein projection: population in thousands by highest level of e?
- Cameroon ranks 62nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Cameroon?
- Over the last ten years it is down 47.7%. 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 in thousands by highest level of educational attainment. No Education. Male. 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/