Croatia vs Luxembourg: PISA: Distribution of Mathematics Scores: 5th Percentile Score
Croatia
323.1%
in 2018
Luxembourg
321.0%
in 2018
Croatia rank
34th
Luxembourg rank
35th
PISA: Distribution of Mathematics Scores: 5th Percentile Score over time
- Croatia
- Luxembourg
How they compare
Croatia currently reports 323.1% against 321.0% in Luxembourg, a difference of 2.1%.
The two have swapped places 3 times across 5 shared years of data; in 2006 it was Luxembourg ahead.
Croatia ranks 34th and Luxembourg ranks 35th of 56 countries.
Luxembourg has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Croatia | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 323.2% | 328.0% | 4.8% | Luxembourg |
| 2010s | 326.5% | 329.7% | 3.2% | Luxembourg |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: distribution of mathematics scores: 5th percentile score, Croatia or Luxembourg?
- Croatia, at 323.1% against 321.0% in Luxembourg as of 2018.
- What is the difference in pisa: distribution of mathematics scores: 5th percentile score between Croatia and Luxembourg?
- 2.1%, with Croatia ahead.
- How many years of comparable data are there for Croatia and Luxembourg?
- 5 years are reported by both, from 2006 to 2018.
- How do Croatia and Luxembourg rank globally for pisa: distribution of mathematics scores: 5th percentile score?
- Croatia ranks 34th and Luxembourg ranks 35th of 56 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Distribution of Mathematics Scores: 5th Percentile Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The 5th percentile score is the score below which 5 percent of students scored. Data reflects country performance in the stated year according to PISA reports, but may not be comparable across years or countries. Consult the PISA website for more detailed information: http://www.oecd.org/pisa/