Bangladesh vs Cameroon: Wittgenstein Projection: Population age 25-29 in thousands by highest

Bangladesh
196.89
in 2100
Cameroon
173.73
in 2100
Bangladesh rank
18th
Cameroon rank
21st

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

  • Bangladesh
  • Cameroon
05001.0k1.5k201020552100

How they compare

Bangladesh currently reports 196.89 against 173.73 in Cameroon, a difference of 23.16.

That makes Bangladesh's figure about 1.1 times Cameroon's.

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

Bangladesh ranks 18th and Cameroon ranks 21st of 166 countries.

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

Head to head by decade

Decade Bangladesh Cameroon Difference Ahead
2010s 1,652 115.51 1,537 Bangladesh
2020s 1,739 157.11 1,582 Bangladesh
2030s 1,547 203.74 1,343 Bangladesh
2040s 1,322 226.81 1,095 Bangladesh
2050s 1,078 229.96 848.07 Bangladesh
2060s 818.38 235.62 582.76 Bangladesh
2070s 596.24 221.73 374.51 Bangladesh
2080s 410.06 206.24 203.83 Bangladesh
2090s 270.14 186.7 83.44 Bangladesh
2100s 196.89 173.73 23.16 Bangladesh

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, Bangladesh or Cameroon?
Bangladesh, at 196.89 against 173.73 in Cameroon as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Bangladesh and Cameroon?
23.16, with Bangladesh ahead.
How many years of comparable data are there for Bangladesh and Cameroon?
19 years are reported by both, from 2010 to 2100.
How do Bangladesh and Cameroon rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Bangladesh ranks 18th and Cameroon ranks 21st 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. Lower 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

Bangladesh vs Cameroon: 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-4/bangladesh/cameroon/

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-4/bangladesh/cameroon/">Bangladesh vs Cameroon: 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. Lower 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 lower secondary or incomplete upper 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/