Wittgenstein Projection: Population age 20-24 in thousands by highest in Kenya
Kenya: Wittgenstein Projection: Population age 20-24 in thousands by highest was 117.89 in 2100. ◆ Volatile
Wittgenstein Projection: Population age 20-24 in thousands by highest in Kenya, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Kenya recorded 117.89 for wittgenstein projection: population age 20-24 in thousands by highest in 2100. That is the highest value across all 19 years on record.
Compared with earlier readings it is up 8.1% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Kenya peaked at 117.89 in 2100 and was at its lowest, 17.89, in 2015.
Kenya ranks 66th of 166 countries on this measure, 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 | 18.11 | 17.89 | 18.32 | 2 |
| 2020s | 24.73 | 21.66 | 27.81 | 2 |
| 2030s | 37.13 | 34.62 | 39.65 | 2 |
| 2040s | 47.62 | 44.85 | 50.38 | 2 |
| 2050s | 60.73 | 56.84 | 64.63 | 2 |
| 2060s | 75.5 | 72.07 | 78.92 | 2 |
| 2070s | 87.46 | 84.92 | 90 | 2 |
| 2080s | 100.18 | 96.67 | 103.69 | 2 |
| 2090s | 111.75 | 109.09 | 114.4 | 2 |
| 2100s | 117.89 | 117.89 | 117.89 | 1 |
Countries ranked near Kenya
More reference data data for Kenya
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5379 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 12.22 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 14.55 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.377 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.55 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.8 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.1 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 58.05 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 68.95 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.05 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Kenya?
- Wittgenstein projection: population age 20-24 in thousands by highest in Kenya was 117.89 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 Kenya?
- The highest recorded value was 117.89 in 2100.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Kenya?
- The lowest recorded value was 17.89 in 2015.
- How does Kenya rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Kenya ranks 66th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Kenya?
- Over the last ten years it is up 8.1%. The long-run trend across the full record is volatile.
- Where does this Kenya 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. Post 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 in the specified age group that has completed post-secondary or tertiary 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/