Flight Routes - 2

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Delta Airlines is analyzing how passengers travel across its domestic network. The analytics team wants to understand which routes are most commonly flown out of each airport, and how long these popular journeys usually take. You’re working as a data analyst at Delta Airlines, and you’re provided with a table flights where each row represents one scheduled flight.

Write a SQL query to return the top 5 most frequent flight routes for each origin, ordered first by frequency descending, and then (for ties) by average journey duration ascending.

Notes:

  1. A route is defined as a unique (origin, destination) pair.
  2. Assume there is no more then 5 routes with the same frequency and average filght time.

Schema:

Input:

flights

Column Type
flight_id INTEGER
origin VARCHAR
destination VARCHAR
departure_time DATETIME
arrival_time DATETIME

Output:

Column Type
origin VARCHAR
destination VARCHAR
route_frequency INTEGER
avg_duration_minutes DATETIME

Example:

Input Data

flights

flight_id origin destination departure_time arrival_time
1 JFK LAX 2025-11-19 08:00 2025-11-19 11:30
2 JFK LAX 2025-11-19 14:00 2025-11-19 17:40
3 JFK ORD 2025-11-19 09:00 2025-11-19 10:45
4 JFK ORD 2025-11-20 09:00 2025-11-20 10:42
5 JFK MIA 2025-11-19 12:00 2025-11-19 15:00
6 JFK MIA 2025-11-20 12:00 2025-11-20 14:55
7 LAX SFO 2025-11-19 07:00 2025-11-19 08:25
8 LAX SFO 2025-11-19 16:00 2025-11-19 17:20
9 LAX SEA 2025-11-19 06:00 2025-11-19 08:40
10 LAX SEA 2025-11-20 06:00 2025-11-20 08:35

Output

origin destination route_frequency avg_duration_minutes
JFK LAX 2 210
JFK ORD 2 103
JFK MIA 2 172
LAX SFO 2 82
LAX SEA 2 157

Explanation:

From each origin (JFK, LAX), the query returns the top 5 most frequent destination routes. Since each origin has only two routes in this dataset, they are all included. For routes with the same frequency, sorting is done by increasing average duration.

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