Kenya vs South Korea: Wittgenstein Projection: Population age 25-29 in thousands by highest

Kenya
538.52
in 2100
South Korea
449.19
in 2100
Kenya rank
37th
South Korea rank
39th

Wittgenstein Projection: Population age 25-29 in thousands by highest over time

  • Kenya
  • South Korea
02505007501.0k1.2k201020552100

How they compare

Kenya currently reports 538.52 against 449.19 in South Korea, a difference of 89.33.

That makes Kenya's figure about 1.2 times South Korea's.

The two have swapped places 1 time across 19 shared years of data; in 2010 it was South Korea ahead.

Kenya ranks 37th and South Korea ranks 39th of 166 countries.

Across the 10 decades both report, Kenya averaged higher in 2 and South Korea in 8.

Head to head by decade

Decade Kenya South Korea Difference Ahead
2010s 54.89 1,162 1,107 South Korea
2020s 74.56 1,214 1,140 South Korea
2030s 131.16 912.38 781.23 South Korea
2040s 192.67 848.92 656.25 South Korea
2050s 256.85 790.43 533.59 South Korea
2060s 330.73 682 351.27 South Korea
2070s 393.76 592.49 198.73 South Korea
2080s 444.92 546.8 101.88 South Korea
2090s 503.05 494.48 8.56 Kenya
2100s 538.52 449.19 89.33 Kenya

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 25-29 in thousands by highest, Kenya or South Korea?
Kenya, at 538.52 against 449.19 in South Korea as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Kenya and South Korea?
89.33, with Kenya ahead.
How many years of comparable data are there for Kenya and South Korea?
19 years are reported by both, from 2010 to 2100.
How do Kenya and South Korea rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Kenya ranks 37th and South Korea ranks 39th of 166 countries.
Where does this data come from?
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Post Secondary. Female. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Kenya vs South Korea: Wittgenstein Projection: Population age 25-29 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 28 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-10/kenya/korea-rep/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-10/kenya/korea-rep/">Kenya vs South Korea: Wittgenstein Projection: Population age 25-29 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Post Secondary. Female
Source
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
167 places, 3,173 data points, 2010–2100
Last refreshed

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/