Denmark vs Luxembourg: PISA: Distribution of Science Scores: 95th Percentile Score
Denmark
637.0%
in 2018
Luxembourg
636.8%
in 2018
Denmark rank
27th
Luxembourg rank
28th
PISA: Distribution of Science Scores: 95th Percentile Score over time
- Denmark
- Luxembourg
How they compare
Denmark currently reports 637.0% against 636.8% in Luxembourg, a difference of 0.2%.
The two have swapped places 4 times across 7 shared years of data; in 2000 it was Denmark ahead.
Denmark ranks 27th and Luxembourg ranks 28th of 56 countries.
Across the 2 decades both report, Denmark averaged higher in 1 and Luxembourg in 1.
Head to head by decade
| Decade | Denmark | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 643.5% | 631.1% | 12.4% | Denmark |
| 2010s | 643.0% | 646.7% | 3.6% | Luxembourg |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: distribution of science scores: 95th percentile score, Denmark or Luxembourg?
- Denmark, at 637.0% against 636.8% in Luxembourg as of 2018.
- What is the difference in pisa: distribution of science scores: 95th percentile score between Denmark and Luxembourg?
- 0.2%, 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 science scores: 95th percentile score?
- Denmark ranks 27th and Luxembourg ranks 28th of 56 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Distribution of Science Scores: 95th Percentile Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The 95th 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/