UA3505 United Airlines - Flight Status

Which is the frequency of flight UA3505?
The flight UA3505 is scheduled to flight on Monday, Tuesday, Wednesday, Thursday, Friday, Sunday on a weekly basis.

Which is the distance of flight UA3505?
The distance between the two airports is 319 miles.

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 Newark and Pittsburgh:

Spirit Airlines
- Flight Number: NK747. (On Time performance: 57 - Average Delay: 40 minutes)

United Airlines
- Flight Number: UA3437. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: UA3451. (On Time performance: 92 - Average Delay: 7 minutes)
- Flight Number: UA3486. (On Time performance: 67 - Average Delay: 18 minutes)
- Flight Number: UA3496. (On Time performance: 60 - Average Delay: 16 minutes)
- Flight Number: UA3521. (On Time performance: 84 - Average Delay: 4 minutes)
- Flight Number: UA3528. (On Time performance: 75 - Average Delay: 14 minutes)
- Flight Number: UA3537.
- Flight Number: UA3544. (On Time performance: 88 - Average Delay: 5 minutes)
- Flight Number: UA3596. (On Time performance: 86 - Average Delay: 8 minutes)
- Flight Number: UA3627. (On Time performance: 83 - Average Delay: 5 minutes)
- Flight Number: UA3662.
- Flight Number: UA3687. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: UA4494. (On Time performance: 71 - Average Delay: 11 minutes)

It is not possible to calculate the On-Time Performance for this flight accurately due to insufficient or non-representative data, as doing so could lead to misleading conclusions.

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: We have gathered available data from last twelve closed months, spanning from October 02, 2023 to March 06, 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.