Wittgenstein Projection: Population in thousands by highest level of e in Cameroon
Cameroon: Wittgenstein Projection: Population in thousands by highest level of e was 1,658 in 2100. ▲ Rising
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 1,658 for wittgenstein projection: population in thousands by highest level of e in 2100.
The figure is down 13.9% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Cameroon peaked at 2,382 in 2060 and was at its lowest, 839.88, in 2010.
Cameroon ranks 36th of 166 countries on this measure, 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 | 937.16 | 839.88 | 1,034 | 2 |
| 2020s | 1,368 | 1,247 | 1,488 | 2 |
| 2030s | 1,815 | 1,719 | 1,912 | 2 |
| 2040s | 2,127 | 2,064 | 2,190 | 2 |
| 2050s | 2,329 | 2,295 | 2,363 | 2 |
| 2060s | 2,373 | 2,364 | 2,382 | 2 |
| 2070s | 2,280 | 2,242 | 2,318 | 2 |
| 2080s | 2,090 | 2,037 | 2,144 | 2 |
| 2090s | 1,861 | 1,796 | 1,925 | 2 |
| 2100s | 1,658 | 1,658 | 1,658 | 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 in thousands by highest level of e in Cameroon?
- Wittgenstein projection: population in thousands by highest level of e in Cameroon was 1,658 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 2,382 in 2060.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Cameroon?
- The lowest recorded value was 839.88 in 2010.
- How does Cameroon rank for wittgenstein projection: population in thousands by highest level of e?
- Cameroon ranks 36th 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 13.9%. The long-run trend across the full record is rising.
- 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. Lower Secondary. 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 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/