Bangladesh vs Malawi: Wittgenstein Projection: Population age 15-19 in thousands by highest

Bangladesh
3,617
in 2100
Malawi
2,962
in 2100
Bangladesh rank
9th
Malawi rank
12th

Wittgenstein Projection: Population age 15-19 in thousands by highest over time

  • Bangladesh
  • Malawi
02.0k4.0k6.0k201020552100

How they compare

Bangladesh currently reports 3,617 against 2,962 in Malawi, a difference of 655.

That makes Bangladesh's figure about 1.2 times Malawi's.

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

Bangladesh ranks 9th and Malawi ranks 12th of 166 countries.

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

Head to head by decade

Decade Bangladesh Malawi Difference Ahead
2010s 4,997 604.24 4,393 Bangladesh
2020s 5,471 983.36 4,488 Bangladesh
2030s 5,758 1,511 4,247 Bangladesh
2040s 5,855 2,099 3,756 Bangladesh
2050s 5,574 2,675 2,899 Bangladesh
2060s 5,246 3,084 2,162 Bangladesh
2070s 4,772 3,254 1,518 Bangladesh
2080s 4,279 3,257 1,022 Bangladesh
2090s 3,919 3,119 799.96 Bangladesh
2100s 3,617 2,962 655.63 Bangladesh

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 15-19 in thousands by highest, Bangladesh or Malawi?
Bangladesh, at 3,617 against 2,962 in Malawi as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between Bangladesh and Malawi?
655, with Bangladesh ahead.
How many years of comparable data are there for Bangladesh and Malawi?
19 years are reported by both, from 2010 to 2100.
How do Bangladesh and Malawi rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
Bangladesh ranks 9th and Malawi ranks 12th 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 15-19 in thousands by highest level of educational attainment. Lower 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

Bangladesh vs Malawi: Wittgenstein Projection: Population age 15-19 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 04 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-6/bangladesh/malawi/

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-15-19-in-thousands-by-highest-level-of-educational-6/bangladesh/malawi/">Bangladesh vs Malawi: Wittgenstein Projection: Population age 15-19 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. Lower 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 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/