Wittgenstein Projection: Population in thousands by highest level of e in Senegal
Senegal: Wittgenstein Projection: Population in thousands by highest level of e was 3,271 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Senegal, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in Senegal stood at 3,271.
Compared with earlier readings it is down 8.0% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Senegal peaked at 3,680 in 2080 and was at its lowest, 723.46, in 2010.
Senegal ranks 16th of 166 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 813.32 | 723.46 | 903.18 | 2 |
| 2020s | 1,274 | 1,136 | 1,412 | 2 |
| 2030s | 1,860 | 1,707 | 2,014 | 2 |
| 2040s | 2,470 | 2,321 | 2,619 | 2 |
| 2050s | 3,027 | 2,903 | 3,152 | 2 |
| 2060s | 3,436 | 3,358 | 3,514 | 2 |
| 2070s | 3,644 | 3,617 | 3,672 | 2 |
| 2080s | 3,660 | 3,640 | 3,680 | 2 |
| 2090s | 3,492 | 3,430 | 3,555 | 2 |
| 2100s | 3,271 | 3,271 | 3,271 | 1 |
Countries ranked near Senegal
More reference data data for Senegal
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2247 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 3.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.55 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1649 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.55 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.7534 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5106 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 17.48 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 20.77 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8979 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Senegal?
- Wittgenstein projection: population in thousands by highest level of e in Senegal was 3,271 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 Senegal?
- The highest recorded value was 3,680 in 2080.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Senegal?
- The lowest recorded value was 723.46 in 2010.
- How does Senegal rank for wittgenstein projection: population in thousands by highest level of e?
- Senegal ranks 16th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Senegal?
- Over the last ten years it is down 8.0%. The long-run trend across the full record is rising.
- Where does this Senegal 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. Primary. 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 primary education or incomplete lower 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/