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kevinwang09/airport_data_12June2021.csv

Last active June 12, 2021 00:14
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airport_data_12June2021.csv
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
rank airport1 airport2 distance passengers type
1 Jeju Seoul-Gimpo 449 14107414 Domestic
2 Sapporo Tokyo-Haneda 835 9698639 Domestic
3 Sydney Melbourne 705 9245392 Domestic
4 Fukuoka Tokyo-Haneda 889 8762547 Domestic
5 Mumbai Delhi 1150 7392155 Domestic
6 Hanoi Ho Chi Minh City 1171 6867114 Domestic
7 Beijing Shanghai-Hongqiao 1081 6518997 Domestic
8 Hong Kong Taipei-Taoyuan 802 6476268 International
9 Tokyo-Haneda Naha 1573 5829712 Domestic
10 Jakarta Surabaya 700 5649046 Domestic
11 Jakarta Denpasar 991 5535108 Domestic
12 Jeddah Riyadh 857 5526110 Domestic
13 Tokyo-Haneda Osaka-Itami 407 5131757 Domestic
14 Chengdu Beijing 1559 5092442 Domestic
15 Guangzhou Beijing 1898 5076229 Domestic
16 Cancun Mexico City 1294 4885602 Domestic
17 Beijing Shenzhen 1979 4853038 Domestic
18 Brisbane Sydney 756 4815609 Domestic
19 Jakarta Singapore 896 4812342 International
20 Guangzhou Shanghai-Hongqiao 1176 4724514 Domestic
21 Shanghai-Hongqiao Shenzhen 1217 4679294 Domestic
22 Bangalore Delhi 1717 4542638 Domestic
23 Jakarta Makassar 1439 4530428 Domestic
24 Jakarta Medan 1401 4512830 Domestic
25 Cape Town Johannesburg 1292 4508214 Domestic
26 Kuala Lumpur Singapore 296 4490463 International
27 São Paulo–Congonhas Rio de Janeiro-Santos Dumont 378 4234631 Domestic
28 Hong Kong Shanghai-Pudong 1247 4053909 International
29 New York-JFK Los Angeles 3982 3971922 Domestic
30 Bogot√° Medellin-Rionegro 239 3930332 Domestic
31 Bangalore Mumbai 834 3814494 Domestic
32 Los Angeles San Francisco 541 3635655 Domestic
33 Bangkok-Suvarnabhumi Phuket 685 3612373 Domestic
34 Brisbane Melbourne 1379 3565266 Domestic
35 Cebu Manila 570 3519525 Domestic
36 Hong Kong Bangkok-Suvarnabhumi 1694 3490988 International
37 Mexico City Monterrey 729 3474971 Domestic
38 Kolkata Delhi 1333 3431999 Domestic
39 Da Nang Ho Chi Minh City 617 3256718 Domestic
40 Chiang Mai Bangkok-Don Mueang 569 3212124 Domestic
41 Seoul-Incheon Osaka-Kansai 872 3210813 International
42 Cusco Lima 583 3201414 Domestic
43 New York-LaGuardia Chicago-O'Hare 1177 3198700 Domestic
44 Jakarta Kuala Lumpur 1142 3170193 International
45 Mexico City Guadalajara 466 3170177 Domestic
46 Jeju Gimhae 294 3106224 Domestic
47 İzmir Istanbul-Atatürk 348 3084250 Domestic
48 Hong Kong Seoul-Incheon 2080 3081942 International
49 Guangzhou Chengdu 1232 3044038 Domestic
50 Hong Kong Manila 1145 3008842 International
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