FX1711 FedEx - Flight Status

Which is the frequency of flight FX1711?
The flight FX1711 is scheduled to flight on Tuesday, Wednesday, Thursday, Friday on a weekly basis.

Which is the distance of flight FX1711?
The distance between the two airports is 234 miles.

Which is the flight time of flight FX1711?
The scheduled flight time gate to gate is: 00:58 hours.
The real flight time gate to gate on average is: 01:00 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 Detroit: 2024-12-28 21:46:11
Current Time in Chicago: 2024-12-28 20:46:11

The following airlines serves the same route between Detroit and Chicago:

American Airlines
- Flight Number: AA3277. (On Time performance: 33 - Average Delay: 94 minutes)
- Flight Number: AA3375. (On Time performance: 79 - Average Delay: 5 minutes)
- Flight Number: AA3469. (On Time performance: 78 - Average Delay: 5 minutes)
- Flight Number: AA3603. (On Time performance: 70 - Average Delay: 18 minutes)
- Flight Number: AA3653. (On Time performance: 36 - Average Delay: 11 minutes)
- Flight Number: AA3666. (On Time performance: 71 - Average Delay: 9 minutes)
- Flight Number: AA3758. (On Time performance: 84 - Average Delay: 16 minutes)
- Flight Number: AA3936. (On Time performance: 40 - Average Delay: 43 minutes)
- Flight Number: AA3937. (On Time performance: 83 - Average Delay: 32 minutes)
- Flight Number: AA4488.
- Flight Number: AA4809.
- Flight Number: AA6289. (On Time performance: 57 - Average Delay: 33 minutes)
- Flight Number: AA9694. (On Time performance: 88 - Average Delay: 24 minutes)

Delta Air Lines
- Flight Number: DL1520. (On Time performance: 87 - Average Delay: 6 minutes)
- Flight Number: DL1654. (On Time performance: 92 - Average Delay: 4 minutes)
- Flight Number: DL1656. (On Time performance: 81 - Average Delay: 14 minutes)
- Flight Number: DL1665. (On Time performance: 89 - Average Delay: 5 minutes)
- Flight Number: DL1716. (On Time performance: 88 - Average Delay: 8 minutes)
- Flight Number: DL2358. (On Time performance: 87 - Average Delay: 7 minutes)
- Flight Number: DL3660. (On Time performance: 68 - Average Delay: 62 minutes)
- Flight Number: DL3752. (On Time performance: 50 - Average Delay: 31 minutes)
- Flight Number: DL3757. (On Time performance: 87 - Average Delay: 9 minutes)

United Airlines
- Flight Number: UA3457. (On Time performance: 82 - Average Delay: 16 minutes)
- Flight Number: UA3480. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: UA3491. (On Time performance: 88 - Average Delay: 7 minutes)
- Flight Number: UA4189. (On Time performance: 81 - Average Delay: 5 minutes)
- Flight Number: UA426. (On Time performance: 84 - Average Delay: 11 minutes)
- Flight Number: UA4574. (On Time performance: 75 - Average Delay: 13 minutes)
- Flight Number: UA4680. (On Time performance: 91 - Average Delay: 4 minutes)
- Flight Number: UA4736. (On Time performance: 87 - Average Delay: 6 minutes)
- Flight Number: UA4754. (On Time performance: 91 - Average Delay: 2 minutes)
- Flight Number: UA5218. (On Time performance: 83 - Average Delay: 30 minutes)
- Flight Number: UA5353. (On Time performance: 90 - Average Delay: 20 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 June 28, 2024 to December 20, 2024. 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.

Delays analyzed by Month: We have gathered available data from last twelve closed months, spanning from December 15, 2023 to November 01, 2024. 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.