Dominican Republic vs Kazakhstan: Wittgenstein Projection: Population age 20-24 in thousands by highest

Dominican Republic
152.39
in 2100
Kazakhstan
153.2
in 2100
Dominican Republic rank
81st
Kazakhstan rank
80th

Wittgenstein Projection: Population age 20-24 in thousands by highest over time

  • Dominican Republic
  • Kazakhstan
0100200300400201020552100

How they compare

Kazakhstan currently reports 153.2 against 152.39 in Dominican Republic, a difference of 0.81.

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

Dominican Republic ranks 81st and Kazakhstan ranks 80th of 166 countries.

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

Head to head by decade

Decade Dominican Republic Kazakhstan Difference Ahead
2010s 188.48 401.52 213.04 Kazakhstan
2020s 217.88 295.3 77.43 Kazakhstan
2030s 235.72 380.43 144.71 Kazakhstan
2040s 234.01 319.6 85.59 Kazakhstan
2050s 231.88 280.7 48.82 Kazakhstan
2060s 220.15 277.5 57.34 Kazakhstan
2070s 206.97 232.39 25.43 Kazakhstan
2080s 186.37 199.48 13.11 Kazakhstan
2090s 167.53 175.87 8.34 Kazakhstan
2100s 152.39 153.2 0.81 Kazakhstan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 20-24 in thousands by highest, Dominican Republic or Kazakhstan?
Kazakhstan, at 153.2 against 152.39 in Dominican Republic as of 2100.
What is the difference in wittgenstein projection: population age 20-24 in thousands by highest between Dominican Republic and Kazakhstan?
0.81, with Kazakhstan ahead.
How many years of comparable data are there for Dominican Republic and Kazakhstan?
19 years are reported by both, from 2010 to 2100.
How do Dominican Republic and Kazakhstan rank globally for wittgenstein projection: population age 20-24 in thousands by highest?
Dominican Republic ranks 81st and Kazakhstan ranks 80th 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 20-24 in thousands by highest level of educational attainment. Upper 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

Dominican Republic vs Kazakhstan: Wittgenstein Projection: Population age 20-24 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 06 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-20-24-in-thousands-by-highest-level-of-educational-7/dominican-republic/kazakhstan/

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-20-24-in-thousands-by-highest-level-of-educational-7/dominican-republic/kazakhstan/">Dominican Republic vs Kazakhstan: Wittgenstein Projection: Population age 20-24 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Upper 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 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/