Wittgenstein Projection: Population in thousands by highest level of e in Kenya
Kenya: Wittgenstein Projection: Population in thousands by highest level of e was 9,180 in 2100. ◆ Volatile
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
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Kenya is 9,180, measured in 2100. That is the highest value across all 19 years on record.
That represents a change of up 21.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Kenya peaked at 9,180 in 2100 and was at its lowest, 244.44, in 2010.
Kenya ranks 35th of 166 countries on this measure, in the top quarter.
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 | 270.33 | 244.44 | 296.22 | 2 |
| 2020s | 491.71 | 416.28 | 567.14 | 2 |
| 2030s | 899.47 | 767.1 | 1,032 | 2 |
| 2040s | 1,554 | 1,361 | 1,746 | 2 |
| 2050s | 2,441 | 2,189 | 2,692 | 2 |
| 2060s | 3,574 | 3,261 | 3,888 | 2 |
| 2070s | 4,917 | 4,561 | 5,273 | 2 |
| 2080s | 6,389 | 6,009 | 6,769 | 2 |
| 2090s | 7,962 | 7,558 | 8,366 | 2 |
| 2100s | 9,180 | 9,180 | 9,180 | 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 in thousands by highest level of e in Kenya?
- Wittgenstein projection: population in thousands by highest level of e in Kenya was 9,180 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 9,180 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Kenya?
- The lowest recorded value was 244.44 in 2010.
- How does Kenya rank for wittgenstein projection: population in thousands by highest level of e?
- Kenya ranks 35th 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 up 21.5%. 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 in thousands by highest level of educational attainment. Post Secondary. Female. Statizoid updates them automatically from the source API.
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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 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/