Example Data:

╔════╦════════════╦════════════╦═══════╦═══════════╦════════╗
║ ID ║   START    ║    STOP    ║ USER  ║   FILE    ║  SIZE  ║
╠════╬════════════╬════════════╬═══════╬═══════════╬════════╣
║  1 ║ 1330133409 ║ 1330133410 ║ user1 ║ file1.zip ║ 300000 ║
║  2 ║ 1330133409 ║ 1330133410 ║ user1 ║ file2.zip ║ 300500 ║
║  3 ║ 1330133409 ║ 1330133410 ║ user2 ║ file1.zip ║ 300000 ║
║  4 ║ 1330133409 ║ 1330133410 ║ user2 ║ file2.zip ║ 300500 ║
║  5 ║ 1330133409 ║ 1330133410 ║ user1 ║ file3.zip ║ 500000 ║
║  6 ║ 1330133409 ║ 1330133310 ║ user6 ║ file3.zip ║ 500000 ║
╚════╩════════════╩════════════╩═══════╩═══════════╩════════╝

I need to create a MySQL query that computes PER_USER_AVERAGE_BANDWIDTH where PER_USER_AVERAGE_BANDWIDTH = SUM(SIZE) / (STOP - START), and then order by PER_USER_AVERAGE_BANDWIDTH to produce results like this:

╔═══════╦════════════════════════════╗
║ USER  ║ PER_USER_AVERAGE_BANDWIDTH ║
╠═══════╬════════════════════════════╣
║ user3 ║ 110.37                     ║
║ user1 ║ 100.25                     ║
║ user2 ║ 75.70                      ║
╚═══════╩════════════════════════════╝

Clear as mud ;) Anyone?

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