Anguilla vs ESCWA: Arab Low-income Countries (lics) (unsdcode:98509): Enrolment in tertiary education, all programmes, female (number)
Enrolment in tertiary education, all programmes, female (number) over time
- Anguilla
- ESCWA: Arab Low-income Countries (lics) (unsdcode:98509)
How they compare
ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) currently reports 792,452 against 45 in Anguilla, a difference of 792,407.
Across all 6 years both countries report, ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) has been ahead every year.
Anguilla ranks 194th and ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) ranks 196th of 195 countries.
ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, female (number), Anguilla or ESCWA: Arab Low-income Countries (lics) (unsdcode:98509)?
- ESCWA: Arab Low-income Countries (lics) (unsdcode:98509), at 792,452 against 45 in Anguilla as of 2016.
- What is the difference in enrolment in tertiary education, all programmes, female (number) between Anguilla and ESCWA: Arab Low-income Countries (lics) (unsdcode:98509)?
- 792,407, with ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) ahead.
- How many years of comparable data are there for Anguilla and ESCWA: Arab Low-income Countries (lics) (unsdcode:98509)?
- 6 years are reported by both, from 2003 to 2008.
- How do Anguilla and ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) rank globally for enrolment in tertiary education, all programmes, female (number)?
- Anguilla ranks 194th and ESCWA: Arab Low-income Countries (lics) (unsdcode:98509) ranks 196th 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.