Peru vs Venezuela: Enrolment in tertiary education, all programmes … gaps filled both
Peru
1.90 million
in 2017
Venezuela
2.12 million
in 2009
Peru rank
27th
Venezuela rank
25th
Enrolment in tertiary education, all programmes … gaps filled both over time
- Peru
- Venezuela
How they compare
Venezuela currently reports 2.12 million against 1.90 million in Peru, a difference of 227,130.
That makes Venezuela's figure about 1.1 times Peru's.
The two have swapped places 3 times across 29 shared years of data; in 1971 it was Peru ahead.
Peru ranks 27th and Venezuela ranks 25th of 200 countries.
Across the 4 decades both report, Peru averaged higher in 3 and Venezuela in 1.
Head to head by decade
| Decade | Peru | Venezuela | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 196,427 | 190,683 | 5,744 | Peru |
| 1980s | 469,900 | 389,912 | 79,988 | Peru |
| 1990s | 713,197 | 543,223 | 169,973 | Peru |
| 2000s | 876,916 | 1.05 million | 168,962 | Venezuela |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher enrolment in tertiary education, all programmes, both sexes (number), Peru or Venezuela?
- Venezuela, at 2.12 million against 1.90 million in Peru as of 2009.
- What is the difference in enrolment in tertiary education, all programmes, both sexes (number) between Peru and Venezuela?
- 227,130, with Venezuela ahead.
- How many years of comparable data are there for Peru and Venezuela?
- 29 years are reported by both, from 1971 to 2006.
- How do Peru and Venezuela rank globally for enrolment in tertiary education, all programmes, both sexes (number)?
- Peru ranks 27th and Venezuela ranks 25th of 200 countries.
- Where does this data come from?
- Statizoid (derived), published as Enrolment in tertiary education, all programmes, both sexes (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, both sexes (number) with 690 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.