AM1544 Aeromexico - Flight Status

Which is the frequency of flight AM1544?
The flight AM1544 is scheduled to flight on Thursday, Friday, Saturday, Sunday on a weekly basis.

Which is the distance of flight AM1544?
The distance between the two airports is 799 miles.

Which is the flight time of flight AM1544?
The scheduled flight time gate to gate is: 02:29 hours.
The real flight time gate to gate on average is: 00:44 hours.

Are the departure airport and arrival airport at the same Time Zone?
No, each airport is in a different timezone. The times shown above, are presented in the local time of each respective airport.
Current Time in Mexico City: 2025-05-14 17:29:43
Current Time in Cancun: 2025-05-14 18:29:43

The following airlines serves the same route between Mexico City and Cancun:

Aeromexico
- Flight Number: AM500. (On Time performance: 97 - Average Delay: 1 minutes)
- Flight Number: AM504. (On Time performance: 96 - Average Delay: 3 minutes)
- Flight Number: AM508. (On Time performance: 98 - Average Delay: 1 minutes)
- Flight Number: AM512. (On Time performance: 98 - Average Delay: 2 minutes)
- Flight Number: AM516. (On Time performance: 88 - Average Delay: 9 minutes)
- Flight Number: AM520. (On Time performance: 89 - Average Delay: 5 minutes)
- Flight Number: AM524. (On Time performance: 94 - Average Delay: 2 minutes)
- Flight Number: AM528. (On Time performance: 89 - Average Delay: 4 minutes)
- Flight Number: AM536. (On Time performance: 89 - Average Delay: 6 minutes)
- Flight Number: AM544. (On Time performance: 81 - Average Delay: 9 minutes)
- Flight Number: AM552. (On Time performance: 98 - Average Delay: 5 minutes)
- Flight Number: AM556. (On Time performance: 91 - Average Delay: 4 minutes)
- Flight Number: AM558. (On Time performance: 82 - Average Delay: 5 minutes)
- Flight Number: AM560. (On Time performance: 86 - Average Delay: 7 minutes)
- Flight Number: AM564. (On Time performance: 98 - Average Delay: 1 minutes)

Magnicharters
- Flight Number: GMT780.
- Flight Number: GMT780.

Turkish Airlines
- Flight Number: TK181. (On Time performance: 92 - Average Delay: 1 minutes)
- Flight Number: TK182. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: TK184. (On Time performance: 94 - Average Delay: 5 minutes)
- Flight Number: TK189.
- Flight Number: TK190. (On Time performance: 100 - Average Delay: 0 minutes)

VivaAerobus
- Flight Number: VB1016. (On Time performance: 91 - Average Delay: 7 minutes)
- Flight Number: VB1022. (On Time performance: 89 - Average Delay: 6 minutes)
- Flight Number: VB1024. (On Time performance: 79 - Average Delay: 23 minutes)
- Flight Number: VB1028. (On Time performance: 94 - Average Delay: 4 minutes)
- Flight Number: VB1374. (On Time performance: 89 - Average Delay: 10 minutes)
- Flight Number: VB1380. (On Time performance: 98 - Average Delay: 2 minutes)

Volaris
- Flight Number: Y4102. (On Time performance: 90 - Average Delay: 8 minutes)
- Flight Number: Y4104. (On Time performance: 87 - Average Delay: 8 minutes)
- Flight Number: Y4108. (On Time performance: 95 - Average Delay: 3 minutes)
- Flight Number: Y4114. (On Time performance: 91 - Average Delay: 5 minutes)
- Flight Number: Y4118. (On Time performance: 83 - Average Delay: 11 minutes)

We have gathered data from recent months and present below an analysis of how timely the flights have been.

Delays analyzed by Weekday: We have gathered available data from last six months, spanning from April 12, 2025 to May 10, 2025. Next, you can observe the results broken down by day of the week: number of flights analyzed, on-time performance per day, and average delay per day.

Note: We have excluded some days from the graph, since the quantity and quality of the data is not representative enough.

Delays analyzed by Month: We have gathered available data from last twelve closed months, spanning from May 04, 2024 to April 20, 2025. Next, you can observe the results broken down by month: number of flights analyzed, on-time performance per month, and average delay per month.

Note: We have excluded some months from the graph, since the quantity and quality of the data is not representative enough.