UA8192 United Airlines - Flight Status

Which is the frequency of flight UA8192?
The flight UA8192 is currently not scheduled at LaGuardia Airport.

Which is the distance of flight UA8192?
The distance between the two airports is 732 miles.

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 New York: 2026-04-03 07:42:29
Current Time in Chicago: 2026-04-03 06:42:29

The following airlines serves the same route between New York and Chicago:

American Airlines
- Flight Number: AA1413. (On Time performance: 85 - Average Delay: 34 minutes)
- Flight Number: AA1510. (On Time performance: 64 - Average Delay: 37 minutes)
- Flight Number: AA2800. (On Time performance: 68 - Average Delay: 20 minutes)
- Flight Number: AA3002. (On Time performance: 83 - Average Delay: 10 minutes)
- Flight Number: AA3015. (On Time performance: 62 - Average Delay: 30 minutes)
- Flight Number: AA3184. (On Time performance: 22 - Average Delay: 77 minutes)
- Flight Number: AA3234. (On Time performance: 79 - Average Delay: 22 minutes)
- Flight Number: AA4466. (On Time performance: 40 - Average Delay: 74 minutes)
- Flight Number: AA4557. (On Time performance: 81 - Average Delay: 11 minutes)
- Flight Number: AA4692. (On Time performance: 55 - Average Delay: 27 minutes)

Delta Air Lines
- Flight Number: DL2917. (On Time performance: 86 - Average Delay: 7 minutes)
- Flight Number: DL319. (On Time performance: 87 - Average Delay: 4 minutes)
- Flight Number: DL5590. (On Time performance: 48 - Average Delay: 47 minutes)
- Flight Number: DL5591. (On Time performance: 85 - Average Delay: 6 minutes)
- Flight Number: DL5598. (On Time performance: 81 - Average Delay: 17 minutes)
- Flight Number: DL567. (On Time performance: 39 - Average Delay: 81 minutes)
- Flight Number: DL5676. (On Time performance: 64 - Average Delay: 21 minutes)
- Flight Number: DL575. (On Time performance: 74 - Average Delay: 29 minutes)

Spirit Airlines
- Flight Number: NK933. (On Time performance: 68 - Average Delay: 29 minutes)

United Airlines
- Flight Number: UA1156.
- Flight Number: UA1205. (On Time performance: 41 - Average Delay: 57 minutes)
- Flight Number: UA1310. (On Time performance: 80 - Average Delay: 12 minutes)
- Flight Number: UA1504. (On Time performance: 71 - Average Delay: 45 minutes)
- Flight Number: UA1795.
- Flight Number: UA1967. (On Time performance: 76 - Average Delay: 27 minutes)
- Flight Number: UA211.
- Flight Number: UA215. (On Time performance: 52 - Average Delay: 55 minutes)
- Flight Number: UA2299. (On Time performance: 50 - Average Delay: 38 minutes)
- Flight Number: UA2384. (On Time performance: 54 - Average Delay: 52 minutes)
- Flight Number: UA2389. (On Time performance: 87 - Average Delay: 9 minutes)
- Flight Number: UA2635.
- Flight Number: UA2665. (On Time performance: 29 - Average Delay: 60 minutes)
- Flight Number: UA3470. (On Time performance: 63 - Average Delay: 34 minutes)
- Flight Number: UA349.
- Flight Number: UA3657. (On Time performance: 70 - Average Delay: 27 minutes)
- Flight Number: UA366.
- Flight Number: UA3663.
- Flight Number: UA3689. (On Time performance: 71 - Average Delay: 25 minutes)
- Flight Number: UA467.
- Flight Number: UA5594. (On Time performance: 50 - Average Delay: 49 minutes)
- Flight Number: UA5967. (On Time performance: 69 - Average Delay: 24 minutes)
- Flight Number: UA598.
- Flight Number: UA623. (On Time performance: 82 - Average Delay: 14 minutes)
- Flight Number: UA686.

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: 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