Malaysia vs Timor-Leste: Total net enrolment rate, lower secondary, gender parity index
Total net enrolment rate, lower secondary, gender parity index over time
- Malaysia
- Timor-Leste
How they compare
Timor-Leste currently reports 1.04 GPI against 1.03 GPI in Malaysia, a difference of 0.01 GPI.
Across all 10 years both countries report, Malaysia has been ahead every year.
Malaysia ranks 26th and Timor-Leste ranks 23rd of 135 countries.
Malaysia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Malaysia | Timor-Leste | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.02 GPI | 0.9821 GPI | 0.0425 GPI | Malaysia |
| 2010s | 1.04 GPI | 0.9839 GPI | 0.0515 GPI | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, lower secondary, gender parity index, Malaysia or Timor-Leste?
- Timor-Leste, at 1.04 GPI against 1.03 GPI in Malaysia as of 2019.
- What is the difference in total net enrolment rate, lower secondary, gender parity index between Malaysia and Timor-Leste?
- 0.01 GPI, with Timor-Leste ahead.
- How many years of comparable data are there for Malaysia and Timor-Leste?
- 10 years are reported by both, from 2008 to 2017.
- How do Malaysia and Timor-Leste rank globally for total net enrolment rate, lower secondary, gender parity index?
- Malaysia ranks 26th and Timor-Leste ranks 23rd of 135 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, lower secondary, gender parity index (GPI). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Ratio of female total net enrolment rate for lower secondary to the male total net enrolment rate for lower secondary. It is calculated by dividing the female value for the indicator by the male value for the indicator. A GPI equal to 1 indicates parity between females and males. In general, a value less than 1 indicates disparity in favor of males and a value greater than 1 indicates disparity in favor of females.