Croatia vs Luxembourg: PISA: Distribution of Mathematics Scores: 25th Percentile Score
Croatia
404.6%
in 2018
Luxembourg
412.9%
in 2018
Croatia rank
36th
Luxembourg rank
35th
PISA: Distribution of Mathematics Scores: 25th Percentile Score over time
- Croatia
- Luxembourg
How they compare
Luxembourg currently reports 412.9% against 404.6% in Croatia, a difference of 8.3%.
Across all 5 years both countries report, Luxembourg has been ahead every year.
Croatia ranks 36th 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 | 404.8% | 424.9% | 20.2% | Luxembourg |
| 2010s | 404.7% | 417.4% | 12.6% | Luxembourg |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: distribution of mathematics scores: 25th percentile score, Croatia or Luxembourg?
- Luxembourg, at 412.9% against 404.6% in Croatia as of 2018.
- What is the difference in pisa: distribution of mathematics scores: 25th percentile score between Croatia and Luxembourg?
- 8.3%, with Luxembourg 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: 25th percentile score?
- Croatia ranks 36th 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: 25th Percentile Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The 25th percentile score is the score below which 25 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/