Equatorial Guinea vs New Caledonia: Wittgenstein Projection: Population age 15-19 in thousands by highest

Equatorial Guinea
3.69
in 2100
New Caledonia
3.25
in 2100
Equatorial Guinea rank
57th
New Caledonia rank
58th

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

  • Equatorial Guinea
  • New Caledonia
01234201020552100

How they compare

Equatorial Guinea currently reports 3.69 against 3.25 in New Caledonia, a difference of 0.44.

That makes Equatorial Guinea's figure about 1.1 times New Caledonia's.

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

Equatorial Guinea ranks 57th and New Caledonia ranks 58th of 166 countries.

Across the 10 decades both report, Equatorial Guinea averaged higher in 2 and New Caledonia in 8.

Head to head by decade

Decade Equatorial Guinea New Caledonia Difference Ahead
2010s 0.395 1.79 1.4 New Caledonia
2020s 0.675 2.03 1.35 New Caledonia
2030s 1.06 2.4 1.33 New Caledonia
2040s 1.47 2.67 1.2 New Caledonia
2050s 1.94 2.86 0.92 New Caledonia
2060s 2.42 3.08 0.66 New Caledonia
2070s 2.82 3.23 0.405 New Caledonia
2080s 3.2 3.29 0.095 New Caledonia
2090s 3.54 3.29 0.25 Equatorial Guinea
2100s 3.69 3.25 0.44 Equatorial Guinea

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, Equatorial Guinea or New Caledonia?
Equatorial Guinea, at 3.69 against 3.25 in New Caledonia as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between Equatorial Guinea and New Caledonia?
0.44, with Equatorial Guinea ahead.
How many years of comparable data are there for Equatorial Guinea and New Caledonia?
19 years are reported by both, from 2010 to 2100.
How do Equatorial Guinea and New Caledonia rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
Equatorial Guinea ranks 57th and New Caledonia ranks 58th 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. Post Secondary. Total. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Equatorial Guinea vs New Caledonia: 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 03 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-12/equatorial-guinea/new-caledonia/

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<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-12/equatorial-guinea/new-caledonia/">Equatorial Guinea vs New Caledonia: 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. Post 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 post-secondary or tertiary 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/