Central African Republic vs Kyrgyzstan: Wittgenstein Projection: Population age 25-29 in thousands by highest

Central African Republic
83.9
in 2100
Kyrgyzstan
91.78
in 2100
Central African Republic rank
115th
Kyrgyzstan rank
114th

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

  • Central African Republic
  • Kyrgyzstan
020406080100201020552100

How they compare

Kyrgyzstan currently reports 91.78 against 83.9 in Central African Republic, a difference of 7.88.

That makes Kyrgyzstan's figure about 1.1 times Central African Republic's.

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

Central African Republic ranks 115th and Kyrgyzstan ranks 114th of 166 countries.

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

Head to head by decade

Decade Central African Republic Kyrgyzstan Difference Ahead
2010s 5.55 57.36 51.81 Kyrgyzstan
2020s 9.49 61.64 52.15 Kyrgyzstan
2030s 15.43 66.17 50.75 Kyrgyzstan
2040s 23.35 79.27 55.91 Kyrgyzstan
2050s 32.72 78.12 45.41 Kyrgyzstan
2060s 43.2 84.33 41.13 Kyrgyzstan
2070s 54.23 87.56 33.34 Kyrgyzstan
2080s 65.57 87.74 22.17 Kyrgyzstan
2090s 76.55 91.01 14.46 Kyrgyzstan
2100s 83.9 91.78 7.88 Kyrgyzstan

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, Central African Republic or Kyrgyzstan?
Kyrgyzstan, at 91.78 against 83.9 in Central African Republic as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Central African Republic and Kyrgyzstan?
7.88, with Kyrgyzstan ahead.
How many years of comparable data are there for Central African Republic and Kyrgyzstan?
19 years are reported by both, from 2010 to 2100.
How do Central African Republic and Kyrgyzstan rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Central African Republic ranks 115th and Kyrgyzstan ranks 114th 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. Total. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Central African Republic vs Kyrgyzstan: 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 10 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-12/central-african-republic/kyrgyz-republic/

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<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-12/central-african-republic/kyrgyz-republic/">Central African Republic vs Kyrgyzstan: 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. 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 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/