Croatia vs Hungary: Wittgenstein Projection: Mean years of schooling. Age 20-64. Total
Wittgenstein Projection: Mean years of schooling. Age 20-64. Total over time
- Croatia
- Hungary
How they compare
Croatia currently reports 13.6 against 13.6 in Hungary, a difference of 0.
The two have swapped places 4 times across 19 shared years of data; in 2010 it was Hungary ahead.
Croatia ranks 76th and Hungary ranks 76th of 166 countries.
Across the 10 decades both report, Croatia averaged higher in 3 and Hungary in 1.
Head to head by decade
| Decade | Croatia | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 11.8 | 11.85 | 0.05 | Hungary |
| 2020s | 12.15 | 12.15 | 0 | — |
| 2030s | 12.45 | 12.45 | 0 | — |
| 2040s | 12.65 | 12.65 | 0 | — |
| 2050s | 12.85 | 12.85 | 0 | — |
| 2060s | 13.05 | 13.05 | 0 | — |
| 2070s | 13.25 | 13.2 | 0.05 | Croatia |
| 2080s | 13.4 | 13.35 | 0.05 | Croatia |
| 2090s | 13.55 | 13.5 | 0.05 | Croatia |
| 2100s | 13.6 | 13.6 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher wittgenstein projection: mean years of schooling. age 20-64. total, Croatia or Hungary?
- Croatia, at 13.6 against 13.6 in Hungary as of 2100.
- What is the difference in wittgenstein projection: mean years of schooling. age 20-64. total between Croatia and Hungary?
- 0, with Croatia ahead.
- How many years of comparable data are there for Croatia and Hungary?
- 19 years are reported by both, from 2010 to 2100.
- How do Croatia and Hungary rank globally for wittgenstein projection: mean years of schooling. age 20-64. total?
- Croatia ranks 76th and Hungary ranks 76th 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: Mean years of schooling. Age 20-64. Total. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Mean number of years spent in school by age group and gender. 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/