Argentina vs Colombia: PISA: Mean performance on the mathematics scale. Female
PISA: Mean performance on the mathematics scale. Female over time
- Argentina
- Colombia
How they compare
Colombia currently reports 381.37 against 371.85 in Argentina, a difference of 9.52.
The two have swapped places 1 time across 5 shared years of data; in 2006 it was Argentina ahead.
Argentina ranks 55th and Colombia ranks 53rd of 56 countries.
Argentina has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Argentina | Colombia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 379.21 | 362.66 | 16.55 | Argentina |
| 2010s | 384.66 | 376.78 | 7.88 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pisa: mean performance on the mathematics scale. female, Argentina or Colombia?
- Colombia, at 381.37 against 371.85 in Argentina as of 2018.
- What is the difference in pisa: mean performance on the mathematics scale. female between Argentina and Colombia?
- 9.52, with Colombia ahead.
- How many years of comparable data are there for Argentina and Colombia?
- 5 years are reported by both, from 2006 to 2018.
- How do Argentina and Colombia rank globally for pisa: mean performance on the mathematics scale. female?
- Argentina ranks 55th and Colombia ranks 53rd of 56 countries.
- Where does this data come from?
- OECD Programme for International Student Assessment (PISA), published as PISA: Mean performance on the mathematics scale. Female. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Average score of 15-year-old female students on the PISA mathematics scale. The metric for the overall mathematics scale is based on a mean for OECD countries of 500 points and a standard deviation of 100 points. 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/