San Marino vs UNICEF: Gulf Area: Enrolment in tertiary education, all programmes, female (number)
Enrolment in tertiary education, all programmes, female (number) over time
- San Marino
- UNICEF: Gulf Area
How they compare
UNICEF: Gulf Area currently reports 1.27 million against 489 in San Marino, a difference of 1.27 million.
That makes UNICEF: Gulf Area's figure about 2,588.8 times San Marino's.
Across all 13 years both countries report, UNICEF: Gulf Area has been ahead every year.
San Marino ranks 183rd and UNICEF: Gulf Area ranks 183rd of 195 countries.
UNICEF: Gulf Area has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | San Marino | UNICEF: Gulf Area | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 539 | 517,969 | 517,430 | UNICEF: Gulf Area |
| 2010s | 448.4 | 885,799 | 885,350 | UNICEF: Gulf Area |
| 2020s | 432.8 | 1.11 million | 1.11 million | UNICEF: Gulf Area |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), San Marino or UNICEF: Gulf Area?
- UNICEF: Gulf Area, at 1.27 million against 489 in San Marino as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between San Marino and UNICEF: Gulf Area?
- 1.27 million, with UNICEF: Gulf Area ahead.
- How many years of comparable data are there for San Marino and UNICEF: Gulf Area?
- 13 years are reported by both, from 2000 to 2024.
- How do San Marino and UNICEF: Gulf Area rank globally for enrolment in tertiary education, all programmes, female (number)?
- San Marino ranks 183rd and UNICEF: Gulf Area ranks 183rd 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.