South Korea vs Macao: PISA: Distribution of Mathematics Scores: 75th Percentile Score
South Korea
595.5%
in 2018
Macao
613.2%
in 2018
South Korea rank
4th
Macao rank
2nd
PISA: Distribution of Mathematics Scores: 75th Percentile Score over time
- South Korea
- Macao
How they compare
Macao currently reports 613.2% against 595.5% in South Korea, a difference of 17.7%.
The two have swapped places 1 time across 6 shared years of data; in 2003 it was South Korea ahead.
South Korea ranks 4th and Macao ranks 2nd of 56 countries.
Across the 2 decades both report, South Korea averaged higher in 1 and Macao in 1.
Head to head by decade
| Decade | South Korea | Macao | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 609.0% | 585.3% | 23.7% | South Korea |
| 2010s | 604.7% | 605.9% | 1.2% | Macao |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: distribution of mathematics scores: 75th percentile score, South Korea or Macao?
- Macao, at 613.2% against 595.5% in South Korea as of 2018.
- What is the difference in pisa: distribution of mathematics scores: 75th percentile score between South Korea and Macao?
- 17.7%, with Macao ahead.
- How many years of comparable data are there for South Korea and Macao?
- 6 years are reported by both, from 2003 to 2018.
- How do South Korea and Macao rank globally for pisa: distribution of mathematics scores: 75th percentile score?
- South Korea ranks 4th and Macao ranks 2nd of 56 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Distribution of Mathematics Scores: 75th Percentile Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The 75th percentile score is the score below which 75 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/