Denmark vs Luxembourg: PISA: Distribution of Mathematics Scores: 90th Percentile Score
Denmark
613.4%
in 2018
Luxembourg
610.8%
in 2018
Denmark rank
21st
Luxembourg rank
24th
PISA: Distribution of Mathematics Scores: 90th Percentile Score over time
- Denmark
- Luxembourg
How they compare
Denmark currently reports 613.4% against 610.8% in Luxembourg, a difference of 2.6%.
The two have swapped places 2 times across 7 shared years of data; in 2000 it was Denmark ahead.
Denmark ranks 21st and Luxembourg ranks 24th of 56 countries.
Denmark has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Denmark | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 622.0% | 598.2% | 23.8% | Denmark |
| 2010s | 611.5% | 610.3% | 1.2% | Denmark |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: distribution of mathematics scores: 90th percentile score, Denmark or Luxembourg?
- Denmark, at 613.4% against 610.8% in Luxembourg as of 2018.
- What is the difference in pisa: distribution of mathematics scores: 90th percentile score between Denmark and Luxembourg?
- 2.6%, with Denmark ahead.
- How many years of comparable data are there for Denmark and Luxembourg?
- 7 years are reported by both, from 2000 to 2018.
- How do Denmark and Luxembourg rank globally for pisa: distribution of mathematics scores: 90th percentile score?
- Denmark ranks 21st and Luxembourg ranks 24th of 56 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Distribution of Mathematics Scores: 90th Percentile Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The 90th percentile score is the score below which 90 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/