Denmark vs Hong Kong, China: PISA: Female 15-year-olds by mathematics proficiency level (%). Below
PISA: Female 15-year-olds by mathematics proficiency level (%). Below over time
- Denmark
- Hong Kong, China
How they compare
Denmark currently reports 3.3% against 2.0% in Hong Kong, China, a difference of 1.3%.
That makes Denmark's figure about 1.6 times Hong Kong, China's.
Across all 6 years both countries report, Denmark has been ahead every year.
Denmark ranks 48th and Hong Kong, China ranks 51st of 53 countries.
Denmark has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Denmark | Hong Kong, China | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 5.2% | 2.8% | 2.4% | Denmark |
| 2010s | 3.7% | 2.3% | 1.5% | Denmark |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: female 15-year-olds by mathematics proficiency level (%). below, Denmark or Hong Kong, China?
- Denmark, at 3.3% against 2.0% in Hong Kong, China as of 2018.
- What is the difference in pisa: female 15-year-olds by mathematics proficiency level (%). below between Denmark and Hong Kong, China?
- 1.3%, with Denmark ahead.
- How many years of comparable data are there for Denmark and Hong Kong, China?
- 6 years are reported by both, from 2003 to 2018.
- How do Denmark and Hong Kong, China rank globally for pisa: female 15-year-olds by mathematics proficiency level (%). below?
- Denmark ranks 48th and Hong Kong, China ranks 51st of 53 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Female 15-year-olds by mathematics proficiency level (%). Below Level 1. Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
Percentage of 15-year-old female students below the lowest proficiency level (scoring 358 or below) on the PISA mathematics scale. Students below Level 1 may be able to perform very direct and straightforward mathematical tasks, such as reading a single value from a well-labeled chart or table where the labels on the chart match the words in the stimulus and question, so that the selection criteria are clear and the relationship between the chart and the aspects of the context depicted are evident, and performing arithmetic calculations with whole numbers by following clear and well-defined instructions. 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/