El Salvador vs Singapore: Enrolment in tertiary education, all programmes, female (number)
Enrolment in tertiary education, all programmes, female (number) over time
- El Salvador
- Singapore
How they compare
El Salvador currently reports 110,128 against 98,241 in Singapore, a difference of 11,887.
That makes El Salvador's figure about 1.1 times Singapore's.
The two have swapped places 2 times across 33 shared years of data; in 1973 it was El Salvador ahead.
El Salvador ranks 96th and Singapore ranks 98th of 195 countries.
Across the 6 decades both report, El Salvador averaged higher in 4 and Singapore in 2.
Head to head by decade
| Decade | El Salvador | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 9,375 | 7,864 | 1,510 | El Salvador |
| 1980s | 23,354 | 12,939 | 10,415 | El Salvador |
| 1990s | 55,504 | 35,442 | 20,062 | El Salvador |
| 2000s | 75,455 | 97,477 | 22,022 | Singapore |
| 2010s | 94,524 | 111,024 | 16,500 | Singapore |
| 2020s | 111,577 | 101,058 | 10,519 | El Salvador |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), El Salvador or Singapore?
- El Salvador, at 110,128 against 98,241 in Singapore as of 2024.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between El Salvador and Singapore?
- 11,887, with El Salvador ahead.
- How many years of comparable data are there for El Salvador and Singapore?
- 33 years are reported by both, from 1973 to 2023.
- How do El Salvador and Singapore rank globally for enrolment in tertiary education, all programmes, female (number)?
- El Salvador ranks 96th and Singapore ranks 98th 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.