Myanmar vs Venezuela: Wittgenstein Projection: Population age 25-29 in thousands by highest

Myanmar
1,230
in 2100
Venezuela
1,125
in 2100
Myanmar rank
34th
Venezuela rank
35th

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

  • Myanmar
  • Venezuela
05001.0k1.5k201020552100

How they compare

Myanmar currently reports 1,230 against 1,125 in Venezuela, a difference of 105.

That makes Myanmar's figure about 1.1 times Venezuela's.

The two have swapped places 2 times across 19 shared years of data; in 2010 it was Myanmar ahead.

Myanmar ranks 34th and Venezuela ranks 35th of 166 countries.

Across the 10 decades both report, Myanmar averaged higher in 4 and Venezuela in 6.

Head to head by decade

Decade Myanmar Venezuela Difference Ahead
2010s 779.89 739.05 40.85 Myanmar
2020s 949.76 935.72 14.04 Myanmar
2030s 1,045 1,138 92.38 Venezuela
2040s 1,148 1,252 104.97 Venezuela
2050s 1,233 1,332 98.98 Venezuela
2060s 1,252 1,352 100.17 Venezuela
2070s 1,246 1,328 82.82 Venezuela
2080s 1,266 1,279 12.98 Venezuela
2090s 1,256 1,200 56.8 Myanmar
2100s 1,230 1,125 104.93 Myanmar

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, Myanmar or Venezuela?
Myanmar, at 1,230 against 1,125 in Venezuela as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Myanmar and Venezuela?
105, with Myanmar ahead.
How many years of comparable data are there for Myanmar and Venezuela?
19 years are reported by both, from 2010 to 2100.
How do Myanmar and Venezuela rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Myanmar ranks 34th and Venezuela ranks 35th 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.

Individual pages

Share, cite or embed this page

Cite this page

Myanmar vs Venezuela: 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 02 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-12/myanmar/venezuela-rb/

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-12/myanmar/venezuela-rb/">Myanmar vs Venezuela: 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/