IDA total vs Mexico: Persistence to last grade of primary, female
IDA total
66.5%
in 2023
Mexico
98.9%
in 2023
IDA total rank
35th
Mexico rank
34th
Persistence to last grade of primary, female over time
- IDA total
- Mexico
How they compare
Mexico currently reports 98.9% against 66.5% in IDA total, a difference of 32.4%.
That makes Mexico's figure about 1.5 times IDA total's.
The two have swapped places 1 time across 33 shared years of data; in 1975 it was IDA total ahead.
IDA total ranks 35th and Mexico ranks 34th of 45 groups.
Mexico has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | IDA total | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 57.5% | 62.3% | 4.8% | Mexico |
| 1990s | 64.1% | 84.1% | 20.0% | Mexico |
| 2000s | 63.4% | 92.4% | 29.0% | Mexico |
| 2010s | 63.0% | 96.2% | 33.2% | Mexico |
| 2020s | 66.8% | 98.1% | 31.3% | Mexico |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher persistence to last grade of primary, female, IDA total or Mexico?
- Mexico, at 98.9% against 66.5% in IDA total as of 2023.
- What is the difference in persistence to last grade of primary, female between IDA total and Mexico?
- 32.4%, with Mexico ahead.
- How many years of comparable data are there for IDA total and Mexico?
- 33 years are reported by both, from 1975 to 2023.
- How do IDA total and Mexico rank globally for persistence to last grade of primary, female?
- IDA total ranks 35th and Mexico ranks 34th of 45 groups.
- Where does this data come from?
- Data API, UN Educational, Scientific and Cultural Organization (UNESCO), published as Persistence to last grade of primary, female (% of cohort). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.