Congo vs Hong Kong, China: Wittgenstein Projection: Population age 20-24 in thousands by highest

Congo
178.2
in 2100
Hong Kong, China
180.42
in 2100
Congo rank
103rd
Hong Kong, China rank
102nd

Wittgenstein Projection: Population age 20-24 in thousands by highest over time

  • Congo
  • Hong Kong, China
0100200300201020552100

How they compare

Hong Kong, China currently reports 180.42 against 178.2 in Congo, a difference of 2.22.

Across all 19 years both countries report, Hong Kong, China has been ahead every year.

Congo ranks 103rd and Hong Kong, China ranks 102nd of 166 countries.

Hong Kong, China has averaged higher in every one of the 10 decades both report.

Head to head by decade

Decade Congo Hong Kong, China Difference Ahead
2010s 25.73 305.98 280.25 Hong Kong, China
2020s 43.86 234.36 190.5 Hong Kong, China
2030s 66.25 239.36 173.12 Hong Kong, China
2040s 85.27 258.85 173.58 Hong Kong, China
2050s 108.63 228.69 120.06 Hong Kong, China
2060s 129.01 216.95 87.94 Hong Kong, China
2070s 146.54 233.64 87.1 Hong Kong, China
2080s 160.76 212.61 51.85 Hong Kong, China
2090s 173.24 187.72 14.47 Hong Kong, China
2100s 178.2 180.42 2.22 Hong Kong, China

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 20-24 in thousands by highest, Congo or Hong Kong, China?
Hong Kong, China, at 180.42 against 178.2 in Congo as of 2100.
What is the difference in wittgenstein projection: population age 20-24 in thousands by highest between Congo and Hong Kong, China?
2.22, with Hong Kong, China ahead.
How many years of comparable data are there for Congo and Hong Kong, China?
19 years are reported by both, from 2010 to 2100.
How do Congo and Hong Kong, China rank globally for wittgenstein projection: population age 20-24 in thousands by highest?
Congo ranks 103rd and Hong Kong, China ranks 102nd 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 20-24 in thousands by highest level of educational attainment. Upper 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

Congo vs Hong Kong, China: Wittgenstein Projection: Population age 20-24 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-20-24-in-thousands-by-highest-level-of-educational-9/congo-rep/hong-kong-sar-china/

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-20-24-in-thousands-by-highest-level-of-educational-9/congo-rep/hong-kong-sar-china/">Congo vs Hong Kong, China: Wittgenstein Projection: Population age 20-24 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Upper 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 upper secondary or incomplete post-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/