AA1151 American Airlines - Flight Status

Which is the frequency of flight AA1151?
The flight AA1151 is scheduled to flight on daily basis.

Which is the distance of flight AA1151?
The distance between the two airports is 1514 miles.

Which is the flight time of flight AA1151?
The scheduled flight time gate to gate is: 03:55 hours.
The real flight time gate to gate on average is: 03:39 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 Miami and Bogota:

UPS
- Flight Number: 5X354. (On Time performance: 59 - Average Delay: 19 minutes)
- Flight Number: 5X382. (On Time performance: 77 - Average Delay: 14 minutes)
- Flight Number: 5X420. (On Time performance: 80 - Average Delay: 11 minutes)

Atlas Air
- Flight Number: 5Y5529. (On Time performance: 8 - Average Delay: 128 minutes)
- Flight Number: 5Y5559.
- Flight Number: 5Y5577. (On Time performance: 13 - Average Delay: 132 minutes)
- Flight Number: 5Y8619. (On Time performance: 8 - Average Delay: 33 minutes)
- Flight Number: 5Y8623. (On Time performance: 33 - Average Delay: 35 minutes)

American Airlines
- Flight Number: AA1145. (On Time performance: 82 - Average Delay: 12 minutes)
- Flight Number: AA913. (On Time performance: 84 - Average Delay: 10 minutes)
- Flight Number: AA915. (On Time performance: 64 - Average Delay: 27 minutes)

Avianca
- Flight Number: AV127. (On Time performance: 73 - Average Delay: 13 minutes)
- Flight Number: AV5. (On Time performance: 93 - Average Delay: 15 minutes)
- Flight Number: AV7. (On Time performance: 85 - Average Delay: 9 minutes)
- Flight Number: AV9. (On Time performance: 93 - Average Delay: 6 minutes)

21 Air
- Flight Number: CSB7513.
- Flight Number: CSB7550. (On Time performance: 55 - Average Delay: 23 minutes)
- Flight Number: CSB7797. (On Time performance: 46 - Average Delay: 31 minutes)

DHL Aero Expreso
- Flight Number: D52247.

Emirates
- Flight Number: EK213. (On Time performance: 79 - Average Delay: 7 minutes)

FedEx
- Flight Number: FX205. (On Time performance: 65 - Average Delay: 31 minutes)

ABX Air
- Flight Number: GB2245. (On Time performance: 34 - Average Delay: 31 minutes)

AerCaribe
- Flight Number: JK1165. (On Time performance: 21 - Average Delay: 145 minutes)

Kalitta Air
- Flight Number: K4865. (On Time performance: 45 - Average Delay: 57 minutes)

LATAM Airlines
- Flight Number: LA4401. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: LA4403. (On Time performance: 77 - Average Delay: 11 minutes)

LATAM Cargo Colombia
- Flight Number: L71827. (On Time performance: 14 - Average Delay: 50 minutes)
- Flight Number: L72871. (On Time performance: 23 - Average Delay: 63 minutes)

Amerijet International
- Flight Number: M6429. (On Time performance: 54 - Average Delay: 20 minutes)
- Flight Number: M6449. (On Time performance: 46 - Average Delay: 21 minutes)
- Flight Number: M6469. (On Time performance: 40 - Average Delay: 59 minutes)
- Flight Number: M6817. (On Time performance: 50 - Average Delay: 17 minutes)
- Flight Number: M6847. (On Time performance: 38 - Average Delay: 68 minutes)
- Flight Number: M6861. (On Time performance: 33 - Average Delay: 39 minutes)
- Flight Number: M6871. (On Time performance: 50 - Average Delay: 23 minutes)
- Flight Number: M68711. (On Time performance: 50 - Average Delay: 18 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: We have gathered available data from last twelve closed months, spanning from November 05, 2024 to April 03, 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.