French Polynesia vs Montenegro: Wittgenstein Projection: Population in thousands by highest level of e

French Polynesia
3.51
in 2100
Montenegro
7.74
in 2100
French Polynesia rank
163rd
Montenegro rank
160th

Wittgenstein Projection: Population in thousands by highest level of e over time

  • French Polynesia
  • Montenegro
0204060201020552100

How they compare

Montenegro currently reports 7.74 against 3.51 in French Polynesia, a difference of 4.23.

That makes Montenegro's figure about 2.2 times French Polynesia's.

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

French Polynesia ranks 163rd and Montenegro ranks 160th of 166 countries.

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

Head to head by decade

Decade French Polynesia Montenegro Difference Ahead
2010s 19.59 57.16 37.57 Montenegro
2020s 19.64 51.49 31.84 Montenegro
2030s 18.9 44.13 25.23 Montenegro
2040s 17.15 35.59 18.45 Montenegro
2050s 14.62 27.54 12.92 Montenegro
2060s 11.71 20.96 9.25 Montenegro
2070s 8.8 15.52 6.71 Montenegro
2080s 6.38 11.65 5.27 Montenegro
2090s 4.55 9.09 4.54 Montenegro
2100s 3.51 7.74 4.23 Montenegro

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of e, French Polynesia or Montenegro?
Montenegro, at 7.74 against 3.51 in French Polynesia as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between French Polynesia and Montenegro?
4.23, with Montenegro ahead.
How many years of comparable data are there for French Polynesia and Montenegro?
19 years are reported by both, from 2010 to 2100.
How do French Polynesia and Montenegro rank globally for wittgenstein projection: population in thousands by highest level of e?
French Polynesia ranks 163rd and Montenegro ranks 160th 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 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

French Polynesia vs Montenegro: Wittgenstein Projection: Population in thousands by highest level of e. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 19 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-4/french-polynesia/montenegro/

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-in-thousands-by-highest-level-of-educational-4/french-polynesia/montenegro/">French Polynesia vs Montenegro: Wittgenstein Projection: Population in thousands by highest level of e</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population 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 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/