Hungary vs Lithuania: PISA: Female 15-year-olds by science proficiency level (%). Level 5
PISA: Female 15-year-olds by science proficiency level (%). Level 5 over time
- Hungary
- Lithuania
How they compare
Hungary currently reports 3.7% against 3.3% in Lithuania, a difference of 0.4%.
That makes Hungary's figure about 1.1 times Lithuania's.
The two have swapped places 1 time across 5 shared years of data; in 2006 it was Lithuania ahead.
Hungary ranks 28th and Lithuania ranks 30th of 52 countries.
Across the 2 decades both report, Hungary averaged higher in 1 and Lithuania in 1.
Head to head by decade
| Decade | Hungary | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 4.6% | 4.8% | 0.2% | Lithuania |
| 2010s | 4.0% | 3.8% | 0.2% | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: female 15-year-olds by science proficiency level (%). level 5, Hungary or Lithuania?
- Hungary, at 3.7% against 3.3% in Lithuania as of 2018.
- What is the difference in pisa: female 15-year-olds by science proficiency level (%). level 5 between Hungary and Lithuania?
- 0.4%, with Hungary ahead.
- How many years of comparable data are there for Hungary and Lithuania?
- 5 years are reported by both, from 2006 to 2018.
- How do Hungary and Lithuania rank globally for pisa: female 15-year-olds by science proficiency level (%). level 5?
- Hungary ranks 28th and Lithuania ranks 30th of 52 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Female 15-year-olds by science proficiency level (%). Level 5. Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
Percentage of 15-year-old female students scoring higher than 633 but less than or equal to 708 on the PISA science scale. At Level 5, students can use abstract scientific ideas or concepts to explain unfamiliar and more complex phenomena, events and processes involving multiple causal links. They are able to apply more sophisticated epistemic knowledge to evaluate alternative experimental designs and justify their choices and use theoretical knowledge to interpret information or make predictions. Level 5 students can evaluate ways of exploring a given question scientifically and identify limitations in interpretations of data sets including sources and the effects of uncertainty in scientific data. Data reflect country performance in the stated year, but may not be comparable across years or countries. Consult the PISA website for more detailed information: http://www.oecd.org/pisa/