Chile vs Malaysia: Wittgenstein Projection: Population age 20-24 in thousands by highest

Chile
209.45
in 2100
Malaysia
198.51
in 2100
Chile rank
71st
Malaysia rank
72nd

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

  • Chile
  • Malaysia
200300400500600201020552100

How they compare

Chile currently reports 209.45 against 198.51 in Malaysia, a difference of 10.94.

That makes Chile's figure about 1.1 times Malaysia's.

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

Chile ranks 71st and Malaysia ranks 72nd of 166 countries.

Across the 10 decades both report, Chile averaged higher in 2 and Malaysia in 8.

Head to head by decade

Decade Chile Malaysia Difference Ahead
2010s 459.8 598.38 138.57 Malaysia
2020s 424.08 635.13 211.05 Malaysia
2030s 410 566 156 Malaysia
2040s 396.89 510.6 113.7 Malaysia
2050s 363.01 454.04 91.02 Malaysia
2060s 324.42 385.65 61.23 Malaysia
2070s 286.51 323.35 36.83 Malaysia
2080s 258.2 270.22 12.01 Malaysia
2090s 228.72 228.02 0.7 Chile
2100s 209.45 198.51 10.94 Chile

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, Chile or Malaysia?
Chile, at 209.45 against 198.51 in Malaysia as of 2100.
What is the difference in wittgenstein projection: population age 20-24 in thousands by highest between Chile and Malaysia?
10.94, with Chile ahead.
How many years of comparable data are there for Chile and Malaysia?
19 years are reported by both, from 2010 to 2100.
How do Chile and Malaysia rank globally for wittgenstein projection: population age 20-24 in thousands by highest?
Chile ranks 71st and Malaysia ranks 72nd 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

Chile vs Malaysia: 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 27 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-20-24-in-thousands-by-highest-level-of-educational-7/chile/malaysia/

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/chile/malaysia/">Chile vs Malaysia: 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/