Indonesia vs Sierra Leone: Wittgenstein Projection: Population age 25-29 in thousands by highest

Indonesia
2.49
in 2100
Sierra Leone
2.21
in 2100
Indonesia rank
23rd
Sierra Leone rank
25th

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

  • Indonesia
  • Sierra Leone
050100150200250201020552100

How they compare

Indonesia currently reports 2.49 against 2.21 in Sierra Leone, a difference of 0.28.

That makes Indonesia's figure about 1.1 times Sierra Leone's.

The two have swapped places 2 times across 19 shared years of data; in 2010 it was Indonesia ahead.

Indonesia ranks 23rd and Sierra Leone ranks 25th of 166 countries.

Across the 10 decades both report, Indonesia averaged higher in 2 and Sierra Leone in 8.

Head to head by decade

Decade Indonesia Sierra Leone Difference Ahead
2010s 196.57 134.72 61.85 Indonesia
2020s 62.58 157.43 94.84 Sierra Leone
2030s 19.39 153.71 134.32 Sierra Leone
2040s 5.93 118.97 113.05 Sierra Leone
2050s 4.12 80.42 76.3 Sierra Leone
2060s 3.7 48.83 45.13 Sierra Leone
2070s 3.24 26.05 22.81 Sierra Leone
2080s 2.94 12.09 9.15 Sierra Leone
2090s 2.69 4.91 2.23 Sierra Leone
2100s 2.49 2.21 0.28 Indonesia

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, Indonesia or Sierra Leone?
Indonesia, at 2.49 against 2.21 in Sierra Leone as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Indonesia and Sierra Leone?
0.28, with Indonesia ahead.
How many years of comparable data are there for Indonesia and Sierra Leone?
19 years are reported by both, from 2010 to 2100.
How do Indonesia and Sierra Leone rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Indonesia ranks 23rd and Sierra Leone ranks 25th 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. No Education. 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

Indonesia vs Sierra Leone: 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 31 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-13/indonesia/sierra-leone/

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-13/indonesia/sierra-leone/">Indonesia vs Sierra Leone: 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. No Education. 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 never attended school. 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/