Montenegro vs Sao Tome and Principe: Wittgenstein Projection: Population age 25-29 in thousands by highest

Montenegro
0.51
in 2100
Sao Tome and Principe
0.57
in 2100
Montenegro rank
144th
Sao Tome and Principe rank
141st

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

  • Montenegro
  • Sao Tome and Principe
1234201020552100

How they compare

Sao Tome and Principe currently reports 0.57 against 0.51 in Montenegro, a difference of 0.06.

That makes Sao Tome and Principe's figure about 1.1 times Montenegro's.

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

Montenegro ranks 144th and Sao Tome and Principe ranks 141st of 166 countries.

Across the 10 decades both report, Montenegro averaged higher in 3 and Sao Tome and Principe in 7.

Head to head by decade

Decade Montenegro Sao Tome and Principe Difference Ahead
2010s 3.42 0.975 2.45 Montenegro
2020s 2.3 1.25 1.04 Montenegro
2030s 1.72 1.58 0.135 Montenegro
2040s 1.32 1.59 0.27 Sao Tome and Principe
2050s 1.02 1.47 0.445 Sao Tome and Principe
2060s 0.835 1.29 0.455 Sao Tome and Principe
2070s 0.73 1.08 0.355 Sao Tome and Principe
2080s 0.64 0.885 0.245 Sao Tome and Principe
2090s 0.56 0.705 0.145 Sao Tome and Principe
2100s 0.51 0.57 0.06 Sao Tome and Principe

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, Montenegro or Sao Tome and Principe?
Sao Tome and Principe, at 0.57 against 0.51 in Montenegro as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Montenegro and Sao Tome and Principe?
0.06, with Sao Tome and Principe ahead.
How many years of comparable data are there for Montenegro and Sao Tome and Principe?
19 years are reported by both, from 2010 to 2100.
How do Montenegro and Sao Tome and Principe rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Montenegro ranks 144th and Sao Tome and Principe ranks 141st 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. Male. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Montenegro vs Sao Tome and Principe: 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 08 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-5/montenegro/sao-tome-and-principe/

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<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-5/montenegro/sao-tome-and-principe/">Montenegro vs Sao Tome and Principe: 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. Male
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/