Wittgenstein Projection: Population in thousands by highest level of e in Benin
Benin: Wittgenstein Projection: Population in thousands by highest level of e was 444.3 in 2100. ▼ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Benin, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Benin recorded 444.3 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 30.3% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Benin peaked at 1,324 in 2045 and was at its lowest, 444.3, in 2100.
That places Benin 15th out of 166 countries with data for 2100, putting it in the top 10%.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 935.09 | 896.79 | 973.38 | 2 |
| 2020s | 1,109 | 1,069 | 1,150 | 2 |
| 2030s | 1,248 | 1,221 | 1,276 | 2 |
| 2040s | 1,318 | 1,313 | 1,324 | 2 |
| 2050s | 1,293 | 1,275 | 1,310 | 2 |
| 2060s | 1,183 | 1,144 | 1,221 | 2 |
| 2070s | 1,005 | 955.51 | 1,054 | 2 |
| 2080s | 797.41 | 743.6 | 851.22 | 2 |
| 2090s | 587.37 | 537.04 | 637.7 | 2 |
| 2100s | 444.3 | 444.3 | 444.3 | 1 |
Countries ranked near Benin
More reference data data for Benin
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.67 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8505 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0882 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5244 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 8.56 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 10.71 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.6635 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.03 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.1979 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 10.1 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Benin?
- Wittgenstein projection: population in thousands by highest level of e in Benin was 444.3 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 Benin?
- The highest recorded value was 1,324 in 2045.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Benin?
- The lowest recorded value was 444.3 in 2100.
- How does Benin rank for wittgenstein projection: population in thousands by highest level of e?
- Benin ranks 15th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Benin?
- Over the last ten years it is down 30.3%. The long-run trend across the full record is falling.
- Where does this Benin 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/