DL4904 Delta Air Lines - Flight Status

Which is the frequency of flight DL4904?
The flight DL4904 is scheduled to flight on Monday, Tuesday, Wednesday, Thursday, Friday on a weekly basis.

Which is the distance of flight DL4904?
The distance between the two airports is 416 miles.

Which is the flight time of flight DL4904?
The scheduled flight time gate to gate is: 01:44 hours.
The real flight time gate to gate on average is: 01:44 hours.

Are the departure airport and arrival airport at the same Time Zone?
Yes, both airports are in the same timezone.

The following airlines serves the same route between Raleigh/Durham and Newark:

Delta Air Lines
- Flight Number: DL5097. (On Time performance: 75 - Average Delay: 7 minutes)
- Flight Number: DL5120. (On Time performance: 86 - Average Delay: 11 minutes)
- Flight Number: DL5160.
- Flight Number: DL5222. (On Time performance: 73 - Average Delay: 18 minutes)
- Flight Number: DL5273. (On Time performance: 85 - Average Delay: 16 minutes)

FedEx
- Flight Number: FX1449. (On Time performance: 33 - Average Delay: 41 minutes)

United Airlines
- Flight Number: UA1291. (On Time performance: 88 - Average Delay: 6 minutes)
- Flight Number: UA1525. (On Time performance: 89 - Average Delay: 7 minutes)
- Flight Number: UA238. (On Time performance: 77 - Average Delay: 46 minutes)
- Flight Number: UA274. (On Time performance: 77 - Average Delay: 15 minutes)
- Flight Number: UA3620. (On Time performance: 86 - Average Delay: 5 minutes)
- Flight Number: UA591. (On Time performance: 98 - Average Delay: 1 minutes)

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

Delays analyzed by Week: It is not possible to calculate the On-Time Performance for this flight accurately by weekday due to insufficient or non-representative data, as doing so could lead to misleading conclusions
Delays analyzed by Month: It is not possible to calculate the On-Time Performance for this flight accurately by month due to insufficient or non-representative data, as doing so could lead to misleading conclusions