Honolulu Airport Informational Guide to Daniel K. Inouye International Airport (HNL) - Non Official

Air China - Honolulu Airport (HNL)

Air China
On Time performance:
17
We have calculated the percentage of flights that arrived within 15 minutes of their scheduled time, or earlier, based on real flight data from the last 3 months. More about punctuality and delays

Terminal

Arrivals and Departures Terminal:

Air China does not have a defined terminal at Honolulu Airport (HNL).

Some flights labeled as Air China are codeshare flights operated by other Airlines. As a result, the following terminals are used for codeshare flights labeled as Air China: Terminal 2.

Arrivals and Departures

Follow the links below in order to see all the flights scheduled for Air China

- Air China Arrivals
- Air China Departures

Check-in

In order to check in for your flight at Honolulu Airport (HNL), go to the terminal where your flight departs from, or follow the instructions provided in your ticket.

General Information and contact

- IATA Code: CA
- Website: www.airchina.us/US/GB/Home

Codeshare

This airline operate some flights, but other flights are codeshare flights operated by the following airlines

- United Airlines

Punctuality and delays

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

In terms of On-Time Performance, by analyzing the flight data from the last three months, spanning from January 31, 2024 to April 16, 2024, we have obtained these figures.
Total number of flights: 6
On Time: 1 ( 17 % )
Moderate Delay: 2 ( 33 % )
Significant Delay: 3 ( 50 % )
Major Delay: 0 ( 0 % )
Canceled: 0 ( 0 % )
Diverted: 0 ( 0 % )

Average Delay: 36 minutes.
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