Wittgenstein Projection: Population in thousands by highest level of e in Kenya
Kenya: Wittgenstein Projection: Population in thousands by highest level of e was 7,282 in 2100. ▼ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Kenya, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Kenya recorded 7,282 for wittgenstein projection: population in thousands by highest level of e in 2100.
That represents a change of down 16.7% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Kenya peaked at 13,881 in 2050 and was at its lowest, 6,634, in 2010.
That places Kenya 22nd out of 166 countries with data for 2100, putting it in the top quarter.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 7,300 | 6,634 | 7,967 | 2 |
| 2020s | 10,199 | 9,428 | 10,970 | 2 |
| 2030s | 12,649 | 12,225 | 13,073 | 2 |
| 2040s | 13,691 | 13,567 | 13,814 | 2 |
| 2050s | 13,792 | 13,702 | 13,881 | 2 |
| 2060s | 12,938 | 12,609 | 13,266 | 2 |
| 2070s | 11,383 | 10,977 | 11,789 | 2 |
| 2080s | 9,850 | 9,476 | 10,224 | 2 |
| 2090s | 8,369 | 7,999 | 8,739 | 2 |
| 2100s | 7,282 | 7,282 | 7,282 | 1 |
Countries ranked near Kenya
- 19 Madagascar 9,577 compare
- 20 Indonesia 9,441 compare
- 21 United Kingdom 9,247 compare
- 23 Mali 6,932 compare
- 24 South Africa 5,863 compare
- 25 Zambia 5,481 compare
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 in thousands by highest level of e in Kenya?
- Wittgenstein projection: population in thousands by highest level of e in Kenya was 7,282 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 Kenya?
- The highest recorded value was 13,881 in 2050.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Kenya?
- The lowest recorded value was 6,634 in 2010.
- How does Kenya rank for wittgenstein projection: population in thousands by highest level of e?
- Kenya ranks 22nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Kenya?
- Over the last ten years it is down 16.7%. The long-run trend across the full record is falling.
- 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 in thousands by highest level of educational attainment. Lower Secondary. Total. Statizoid updates them automatically from the source API.
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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/