Argentina vs Japan: Enrolment in tertiary education, all programmes, female (number)
Argentina
2.37 million
in 2023
Japan
1.87 million
in 2023
Argentina rank
9th
Japan rank
12th
Enrolment in tertiary education, all programmes, female (number) over time
- Argentina
- Japan
How they compare
Argentina currently reports 2.37 million against 1.87 million in Japan, a difference of 504,120.
That makes Argentina's figure about 1.3 times Japan's.
The two have swapped places 1 time across 29 shared years of data; in 1971 it was Japan ahead.
Argentina ranks 9th and Japan ranks 12th of 195 countries.
Across the 5 decades both report, Argentina averaged higher in 2 and Japan in 3.
Head to head by decade
| Decade | Argentina | Japan | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 226,280 | 668,108 | 441,828 | Japan |
| 1980s | 366,201 | 811,926 | 445,724 | Japan |
| 1990s | 987,167 | 1.76 million | 773,323 | Japan |
| 2010s | 1.87 million | 1.83 million | 45,913 | Argentina |
| 2020s | 2.33 million | 1.87 million | 457,002 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), Argentina or Japan?
- Argentina, at 2.37 million against 1.87 million in Japan as of 2023.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between Argentina and Japan?
- 504,120, with Argentina ahead.
- How many years of comparable data are there for Argentina and Japan?
- 29 years are reported by both, from 1971 to 2023.
- How do Argentina and Japan rank globally for enrolment in tertiary education, all programmes, female (number)?
- Argentina ranks 9th and Japan ranks 12th of 195 countries.
- Where does this data come from?
- Statizoid (derived), published as Enrolment in tertiary education, all programmes, female (number), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Enrolment in tertiary education, all programmes, female (number) with 647 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.