Low & middle income vs Macao: Persistence to last grade of primary, female
Low & middle income
79.1%
in 2023
Macao
99.2%
in 2023
Low & middle income rank
28th
Macao rank
26th
Persistence to last grade of primary, female over time
- Low & middle income
- Macao
How they compare
Macao currently reports 99.2% against 79.1% in Low & middle income, a difference of 20.1%.
That makes Macao's figure about 1.3 times Low & middle income's.
Across all 8 years both countries report, Macao has been ahead every year.
Low & middle income ranks 28th and Macao ranks 26th of 45 groups.
Macao has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Low & middle income | Macao | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 76.4% | 98.5% | 22.1% | Macao |
| 2010s | 82.6% | 99.6% | 17.0% | Macao |
| 2020s | 80.8% | 99.2% | 18.4% | Macao |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher persistence to last grade of primary, female, Low & middle income or Macao?
- Macao, at 99.2% against 79.1% in Low & middle income as of 2023.
- What is the difference in persistence to last grade of primary, female between Low & middle income and Macao?
- 20.1%, with Macao ahead.
- How many years of comparable data are there for Low & middle income and Macao?
- 8 years are reported by both, from 2008 to 2023.
- How do Low & middle income and Macao rank globally for persistence to last grade of primary, female?
- Low & middle income ranks 28th and Macao ranks 26th 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.