Kenya vs Tanzania, United Republic of: Wittgenstein Projection: Population age 25-29 in thousands by highest

Kenya
4,226
in 2100
Tanzania, United Republic of
2,956
in 2100
Kenya rank
11th
Tanzania, United Republic of rank
13th

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

  • Kenya
  • Tanzania, United Republic of
01.0k2.0k3.0k4.0k5.0k201020552100

How they compare

Kenya currently reports 4,226 against 2,956 in Tanzania, United Republic of, a difference of 1,270.

That makes Kenya's figure about 1.4 times Tanzania, United Republic of's.

Across all 19 years both countries report, Kenya has been ahead every year.

Kenya ranks 11th and Tanzania, United Republic of ranks 13th of 166 countries.

Kenya has averaged higher in every one of the 10 decades both report.

Head to head by decade

Decade Kenya Tanzania, United Republic of Difference Ahead
2010s 1,482 93.92 1,388 Kenya
2020s 2,151 196.38 1,954 Kenya
2030s 3,274 434.99 2,839 Kenya
2040s 4,045 784.24 3,260 Kenya
2050s 4,478 1,229 3,250 Kenya
2060s 4,818 1,754 3,064 Kenya
2070s 4,830 2,241 2,589 Kenya
2080s 4,609 2,583 2,026 Kenya
2090s 4,434 2,847 1,587 Kenya
2100s 4,226 2,956 1,271 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 Tanzania, United Republic of?
Kenya, at 4,226 against 2,956 in Tanzania, United Republic of as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Kenya and Tanzania, United Republic of?
1,270, with Kenya ahead.
How many years of comparable data are there for Kenya and Tanzania, United Republic of?
19 years are reported by both, from 2010 to 2100.
How do Kenya and Tanzania, United Republic of rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Kenya ranks 11th and Tanzania, United Republic of ranks 13th 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. Upper Secondary. Total. 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 Tanzania, United Republic of: 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 30 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-9/kenya/tanzania/

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-9/kenya/tanzania/">Kenya vs Tanzania, United Republic of: 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. Upper Secondary. Total
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 upper secondary or incomplete post-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/