Hong Kong, China vs Hungary: Wittgenstein Projection: Population age 15-19 in thousands by highest

Hong Kong, China
51.69
in 2100
Hungary
53.12
in 2100
Hong Kong, China rank
106th
Hungary rank
104th

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

  • Hong Kong, China
  • Hungary
050100150201020552100

How they compare

Hungary currently reports 53.12 against 51.69 in Hong Kong, China, a difference of 1.43.

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

Hong Kong, China ranks 106th and Hungary ranks 104th of 166 countries.

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

Head to head by decade

Decade Hong Kong, China Hungary Difference Ahead
2010s 94.24 128.78 34.54 Hungary
2020s 53.42 113.19 59.76 Hungary
2030s 74.31 98.91 24.61 Hungary
2040s 66.62 94.58 27.95 Hungary
2050s 58.33 88.87 30.54 Hungary
2060s 64.49 84.29 19.8 Hungary
2070s 65.17 75.69 10.51 Hungary
2080s 57.73 67.13 9.4 Hungary
2090s 53.23 58.7 5.48 Hungary
2100s 51.69 53.12 1.43 Hungary

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, Hong Kong, China or Hungary?
Hungary, at 53.12 against 51.69 in Hong Kong, China as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between Hong Kong, China and Hungary?
1.43, with Hungary ahead.
How many years of comparable data are there for Hong Kong, China and Hungary?
19 years are reported by both, from 2010 to 2100.
How do Hong Kong, China and Hungary rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
Hong Kong, China ranks 106th and Hungary ranks 104th 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. 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

Hong Kong, China vs Hungary: 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 08 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-4/hong-kong-sar-china/hungary/

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-15-19-in-thousands-by-highest-level-of-educational-4/hong-kong-sar-china/hungary/">Hong Kong, China vs Hungary: 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. 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 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/