LuggageLosers.com - Live ranking of airlines by how much luggage they are losing right now

๐Ÿงณ๐Ÿ’จ Luggage Losers

by @levelsio and part of Airline List

A live ranking of airlines by how much luggage they are losing right now

Featured on: NY Post | Mashable | MSN | Business Today | Economic Times | Reddit | Hacker News | Product Hunt

Why? Vueling lost my gf's suitcase...

Luggage lost numbers here are estimations based on people talking about losing their luggage on social media and websites. Actual numbers may vary, and exact figures are only available through official airline reports published retroactively.

Last updated: 5 hours ago from 42,391 live sources

# Airline Probability of losing/delaying
your luggage (est.)
Change
(last 7d)
Luggage score
(out of 5)
Complaints
(last 30 days)
Lost bags
(last 30 days est.)
1๐Ÿ‡ฆ๐Ÿ‡ช flydubai 1 in 901.11%=0.252210,610
2๐Ÿ‡ฌ๐Ÿ‡ง British Airways 1 in 1040.96%โ–ผ 60.258239,579
3๐Ÿ‡ช๐Ÿ‡ธ Iberia 1 in 1290.77%โ–ผ 10.25209,631
4๐Ÿ‡ฎ๐Ÿ‡ณ Air India 1 in 1510.66%โ–ฒ 20.813014,441
5๐Ÿ‡จ๐Ÿ‡ฆ Air Canada 1 in 1970.51%โ–ผ 351.793014,498
6๐Ÿ‡ฎ๐Ÿ‡ช Aer Lingus 1 in 1980.51%โ–ผ 171.8094,346
7๐Ÿ‡ฒ๐Ÿ‡ฝ Aeromexico 1 in 2050.49%โ–ผ 141.91115,325
8๐Ÿ‡ฎ๐Ÿ‡ณ IndiGo 1 in 2110.47%โ–ผ 12.002913,954
9๐Ÿ‡ฎ๐Ÿ‡ณ SpiceJet 1 in 2410.41%โ–ผ 72.3883,884
10๐Ÿ‡บ๐Ÿ‡ธ Delta Air Lines 1 in 2440.41%โ–ฒ 72.4011153,510
11๐Ÿ‡จ๐Ÿ‡ญ Swiss 1 in 2460.41%โ–ผ 62.4283,873
12๐Ÿ‡ฎ๐Ÿ‡น ITA Airways 1 in 2480.40%โ–ผ 102.45146,743
13๐Ÿ‡บ๐Ÿ‡ธ American Airlines 1 in 2520.40%โ–ฒ 62.4812058,004
14๐Ÿ‡ฐ๐Ÿ‡ช Kenya Airways 1 in 2530.39%โ–ฒ 82.5052,425
15๐Ÿ‡ช๐Ÿ‡น Ethiopian Airlines 1 in 2730.37%โ–ผ 52.6883,880
16๐Ÿ‡จ๐Ÿ‡ด Avianca 1 in 2740.36%โ–ผ 402.69209,693
17๐Ÿ‡ช๐Ÿ‡ธ Vueling 1 in 3030.33%โ–ฒ 42.91125,778
18๐Ÿ‡ฌ๐Ÿ‡ง Jet2 1 in 3380.30%โ–ผ 263.1383,865
19๐Ÿ‡ฟ๐Ÿ‡ฆ South African 1 in 3380.30%โ–ผ 73.1362,907
20๐Ÿ‡ฆ๐Ÿ‡ช Etihad Airways 1 in 3510.28%โ–ฒ 83.20104,858
21๐Ÿ‡ซ๐Ÿ‡ท Air France 1 in 3790.26%โ–ผ 33.33199,159
22๐Ÿ‡ฌ๐Ÿ‡ง easyJet 1 in 4110.24%โ–ผ 113.46188,717
23๐Ÿ‡ญ๐Ÿ‡ท Croatia Airlines 1 in 4120.24%โ–ฒ 183.461485
24๐Ÿ‡ช๐Ÿ‡ฌ EgyptAir 1 in 4290.23%โ–ฒ 133.5241,934
25๐Ÿ‡จ๐Ÿ‡ฆ WestJet Airlines 1 in 4300.23%โ–ผ 323.5394,364
26๐Ÿ‡ฒ๐Ÿ‡พ Malaysia Airlines 1 in 4400.23%โ–ฒ 83.5662,898
27๐Ÿ‡ท๐Ÿ‡ธ Air Serbia 1 in 4750.21%โ–ฒ 23.672969
28๐Ÿ‡ณ๐Ÿ‡ฟ Air New Zealand 1 in 4860.21%โ–ผ 113.7041,928
29๐Ÿ‡น๐Ÿ‡ญ Thai Airways 1 in 5140.19%โ–ฒ 153.7752,422
30๐Ÿ‡ฆ๐Ÿ‡ช Emirates 1 in 5180.19%โ–ฒ 153.78157,231
31๐Ÿ‡ง๐Ÿ‡ญ Gulf Air 1 in 5240.19%โ–ฒ 213.792968
32๐Ÿ‡ถ๐Ÿ‡ฆ Qatar Airways 1 in 5360.19%โ–ผ 53.82136,302
33๐Ÿ‡ฉ๐Ÿ‡ช Lufthansa 1 in 5640.18%โ–ฒ 43.88157,213
34๐Ÿ‡ฎ๐Ÿ‡ช Ryanair 1 in 5690.18%โ–ผ 23.892311,152
35๐Ÿ‡บ๐Ÿ‡ธ JetBlue 1 in 5700.18%โ–ฒ 163.89146,739
36๐Ÿ‡ฆ๐Ÿ‡บ Qantas 1 in 5770.17%โ–ฒ 43.9073,381
37๐Ÿ‡บ๐Ÿ‡ธ United Airlines 1 in 5910.17%โ–ฒ 93.934019,367
38๐Ÿ‡บ๐Ÿ‡ธ Frontier Airlines 1 in 6370.16%โ–ฒ 74.0141,930
39๐Ÿ‡ฑ๐Ÿ‡ง Middle East Airlines 1 in 6390.16%โ–ผ 184.011481
40๐Ÿ‡น๐Ÿ‡ท Turkish Airlines 1 in 6970.14%โ–ผ 14.09157,257
41๐Ÿ‡ญ๐Ÿ‡บ Wizz Air 1 in 7000.14%โ–ฒ 144.1031,448
42๐Ÿ‡ช๐Ÿ‡ธ Air Europa 1 in 7300.14%โ–ผ 154.132969
43๐Ÿ‡ณ๐Ÿ‡ฑ KLM 1 in 7440.13%โ–ฒ 54.1552,416
44๐Ÿ‡ฌ๐Ÿ‡ง Virgin Atlantic 1 in 7610.13%โ–ฒ 104.172969
45๐Ÿ‡ซ๐Ÿ‡ฎ Finnair 1 in 8360.12%โ–ฒ 154.2431,452
46๐Ÿ‡ฆ๐Ÿ‡บ Jetstar 1 in 8900.11%โ–ผ 114.2931,450
47๐Ÿ‡ต๐Ÿ‡ฐ Pakistan International Airlines 1 in 1,0520.10%โ–ผ 104.401482
48๐Ÿ‡จ๐Ÿ‡ฆ Air Transat 1 in 1,1430.09%โ–ผ 94.451484
49๐Ÿ‡บ๐Ÿ‡ฆ UIA 1 in 1,2090.08%โ–ผ 84.481483
50๐Ÿ‡ง๐Ÿ‡ช Brussels Airlines 1 in 1,2110.08%โ–ผ 74.481482
51๐Ÿ‡ธ๐Ÿ‡ช SAS Scandinavia 1 in 1,2770.08%โ–ผ 14.5031,456
52๐Ÿ‡บ๐Ÿ‡ธ Southwest Airlines 1 in 1,3780.07%โ–ฒ 44.54167,771
53๐Ÿ‡ธ๐Ÿ‡ฆ Saudia 1 in 1,4680.07%โ–ฒ 74.5741,936
54๐Ÿ‡ฌ๐Ÿ‡ท Aegean Airlines 1 in 1,5560.06%โ–ฒ 194.591484
55๐Ÿ‡ด๐Ÿ‡ฒ Oman Air 1 in 1,7530.06%โ–ฒ 54.642964
56๐Ÿ‡ฒ๐Ÿ‡พ Air Asia 1 in 1,7960.06%โ–ฒ 14.6531,445
57๐Ÿ‡ฆ๐Ÿ‡ท Aerolineas Argentinas 1 in 1,8440.05%=4.661483
58๐Ÿ‡ง๐Ÿ‡ท GOL Airlines 1 in 1,8670.05%โ–ฒ 74.662971
59๐Ÿ‡บ๐Ÿ‡ธ Alaska Airlines 1 in 2,0330.05%โ–ฒ 164.6952,419
60๐Ÿ‡ฆ๐Ÿ‡ช Air Arabia 1 in 2,1690.05%โ–ฒ 34.711482
61๐Ÿ‡ฎ๐Ÿ‡ฉ Batik Air 1 in 2,2260.04%โ–ฒ 44.721483
62๐Ÿ‡ณ๐Ÿ‡ด Norwegian 1 in 2,3580.04%โ–ฒ 54.731482
63๐Ÿ‡น๐Ÿ‡ท Pegasus Airlines 1 in 2,3790.04%โ–ฒ 214.731484
64๐Ÿ‡ต๐Ÿ‡ฆ COPA Airlines 1 in 2,8870.03%โ–ฒ 194.781484
65๐Ÿ‡บ๐Ÿ‡ธ Allegiant Air 1 in 3,0510.03%โ–ฒ 184.791483
66๐Ÿ‡ฆ๐Ÿ‡บ Virgin Australia 1 in 3,2150.03%โ–ฒ 174.801483
67๐Ÿ‡ธ๐Ÿ‡ฌ Singapore Airlines 1 in 3,7060.03%โ–ฒ 104.831481
68๐Ÿ‡บ๐Ÿ‡ธ Spirit Airlines 1 in 3,8820.03%โ–ฒ 114.841483
69๐Ÿ‡ญ๐Ÿ‡ฐ Cathay Pacific 1 in 4,0590.02%โ–ฒ 164.841484
70๐Ÿ‡ง๐Ÿ‡ท LATAM Brazil 1 in 4,6700.02%โ–ฒ 134.861484
71๐Ÿ‡ฏ๐Ÿ‡ต Japan Airlines (JAL) 1 in 5,2270.02%โ–ฒ 174.881482
72๐Ÿ‡ง๐Ÿ‡ท Azul 1 in 6,2160.02%โ–ฒ 154.901482
73๐Ÿ‡จ๐Ÿ‡ณ Air China 1 in 12,5220.01%โ–ฒ 164.951481
+= Median 1 in 5910.17%


Biggest luggage losers right now

These airlines receive the dubious honor of losing the most luggage:


๐Ÿ†
๐Ÿ‡ฆ๐Ÿ‡ช flydubai
๐Ÿฅˆ
๐Ÿ‡ฌ๐Ÿ‡ง British Airways
                  ๐Ÿฅ‰
๐Ÿ‡ช๐Ÿ‡ธ Iberia


Biggest luggage winners right now

These airlines receive the award of losing the least luggage:


๐Ÿ†
๐Ÿ‡จ๐Ÿ‡ณ Air China
๐Ÿฅˆ
๐Ÿ‡ง๐Ÿ‡ท Azul
                  ๐Ÿฅ‰
๐Ÿ‡ฏ๐Ÿ‡ต Japan Airlines (JAL)


Airports losing most luggage right now

# Airport City Probability of losing
your luggage
Change
(last 7d)
Luggage score
(out of 5)
Complaints
(last 30 days)
Lost bags
(last 30 days est.)
1๐Ÿ‡ฎ๐Ÿ‡ณ Shivaji Mumbai 1 in 204.92%โ–ฒ 10.2542193,897
2๐Ÿ‡ฎ๐Ÿ‡ณ Gandhi Delhi 1 in 1280.78%โ–ฒ 20.25941,547
3๐Ÿ‡ฌ๐Ÿ‡ง Heathrow London 1 in 1280.78%โ–ฒ 30.251150,779
4๐Ÿ‡ฌ๐Ÿ‡ง Gatwick London 1 in 1370.73%โ–ฒ 40.39627,693
5๐Ÿ‡ฒ๐Ÿ‡ฝ Juรกrez Mexico City 1 in 1620.62%โ–ฒ 51.09523,085
6๐Ÿ‡ณ๐Ÿ‡ฑ Schiphol Amsterdam 1 in 1770.56%โ–ฒ 61.42732,314
7๐Ÿ‡บ๐Ÿ‡ธ Liberty Newark, NJ 1 in 1960.51%โ–ฒ 71.77418,466
8๐Ÿ‡จ๐Ÿ‡ฆ Pearson Toronto 1 in 2130.47%โ–ฒ 82.02418,468
9๐Ÿ‡บ๐Ÿ‡ธ Denver Denver, CO 1 in 2220.45%โ–ฒ 92.15523,083
10๐Ÿ‡จ๐Ÿ‡ญ Zurich Zurich 1 in 2610.38%โ–ฒ 102.5829,231
11๐Ÿ‡บ๐Ÿ‡ธ Miami Miami 1 in 2660.38%โ–ฒ 112.62313,849
12๐Ÿ‡บ๐Ÿ‡ธ John F. Kennedy New York City 1 in 2690.37%โ–ฒ 122.64418,468
13๐Ÿ‡ฌ๐Ÿ‡ง Stansted London 1 in 2930.34%โ–ฒ 132.8414,615
14๐Ÿ‡ซ๐Ÿ‡ท Charles de Gaulle Paris 1 in 3140.32%โ–ฒ 142.98418,465
15๐Ÿ‡บ๐Ÿ‡ธ George Bush Houston, TX 1 in 3680.27%โ–ฒ 153.2829,232
16๐Ÿ‡บ๐Ÿ‡ธ SFO San Francisco 1 in 5050.20%โ–ฒ 163.7529,233
17๐Ÿ‡บ๐Ÿ‡ธ Hartsfieldโ€“Jackson Atlanta 1 in 6260.16%โ–ฒ 173.99313,851
18๐Ÿ‡บ๐Ÿ‡ธ Sky Harbor Phoenix, AZ 1 in 7940.13%โ–ฒ 184.2014,617
19๐Ÿ‡ฆ๐Ÿ‡ช Dubai Dubai 1 in 7980.13%โ–ฒ 194.2129,233
20๐Ÿ‡ฒ๐Ÿ‡พ KLIA Kuala Lumpur 1 in 1,0590.09%โ–ฒ 204.4014,616
21๐Ÿ‡ธ๐Ÿ‡ฌ Changi Singapore 1 in 1,1260.09%โ–ฒ 214.4414,616
22๐Ÿ‡น๐Ÿ‡ท Istanbul Istanbul 1 in 1,1550.09%โ–ฒ 224.4514,616
23๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt Frankfurt 1 in 1,1670.09%โ–ฒ 234.4614,616
24๐Ÿ‡บ๐Ÿ‡ธ Dallas/Fort Worth Dallas 1 in 1,2140.08%โ–ฒ 244.4814,616
25๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong Hong Kong 1 in 1,3140.08%โ–ฒ 254.5214,617
+= Median 1 in 2930.34%


Most luggage lost by airline region

# Region Probability of losing
your luggage
Luggage score
(out of 5)
Complaints
(last 30 days)
Lost bags
(last 30 days est.)
1Africa1 in 2730.37%1.52199,213
2Middle East1 in 5300.19%3.217435,766
3Europe1 in 5690.18%3.33269129,892
4North America1 in 6130.16%3.45352170,051
5Oceania1 in 7000.14%3.64157,242
6Asia1 in 1,3270.08%4.288741,937
7Latin America1 in 1,8670.05%4.493717,922


Most luggage lost by airline country

# Country Probability of losing
your luggage
Luggage score
(out of 5)
Complaints
(last 30 days)
Lost bags
(last 30 days est.)
1๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico1 in 2050.49%0.36115,325
2๐Ÿ‡ฎ๐Ÿ‡ณ India1 in 2110.47%0.516732,279
3๐Ÿ‡จ๐Ÿ‡ญ Switzerland1 in 2460.41%1.1483,873
4๐Ÿ‡ฎ๐Ÿ‡น Italy1 in 2480.40%1.17146,743
5๐Ÿ‡ฐ๐Ÿ‡ช Kenya1 in 2530.39%1.2552,425
6๐Ÿ‡ช๐Ÿ‡น Ethiopia1 in 2730.37%1.5283,880
7๐Ÿ‡จ๐Ÿ‡ด Colombia1 in 2740.36%1.54209,693
8๐Ÿ‡ฎ๐Ÿ‡ช Ireland1 in 2940.34%1.773215,498
9๐Ÿ‡ช๐Ÿ‡ธ Spain1 in 3030.33%1.873416,378
10๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa1 in 3380.30%2.1962,907
11๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom1 in 3710.27%2.4411053,129
12๐Ÿ‡ซ๐Ÿ‡ท France1 in 3790.26%2.49199,159
13๐Ÿ‡ญ๐Ÿ‡ท Croatia1 in 4120.24%2.691485
14๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates1 in 4190.24%2.734823,180
15๐Ÿ‡ช๐Ÿ‡ฌ Egypt1 in 4290.23%2.7941,934
16๐Ÿ‡จ๐Ÿ‡ฆ Canada1 in 4300.23%2.794019,346
17๐Ÿ‡ท๐Ÿ‡ธ Serbia1 in 4750.21%3.002969
18๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand1 in 4860.21%3.0541,928
19๐Ÿ‡น๐Ÿ‡ญ Thailand1 in 5140.19%3.1552,422
20๐Ÿ‡ง๐Ÿ‡ญ Bahrain1 in 5240.19%3.192968
21๐Ÿ‡ถ๐Ÿ‡ฆ Qatar1 in 5360.19%3.23136,302
22๐Ÿ‡ฉ๐Ÿ‡ช Germany1 in 5640.18%3.32157,213
23๐Ÿ‡บ๐Ÿ‡ธ United States1 in 6370.16%3.51312150,706
24๐Ÿ‡ฑ๐Ÿ‡ง Lebanon1 in 6390.16%3.511481
25๐Ÿ‡ญ๐Ÿ‡บ Hungary1 in 7000.14%3.6431,448
26๐Ÿ‡ฒ๐Ÿ‡พ Malaysia1 in 7070.14%3.6694,343
27๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands1 in 7440.13%3.7252,416
28๐Ÿ‡ซ๐Ÿ‡ฎ Finland1 in 8360.12%3.8631,452
29๐Ÿ‡ฆ๐Ÿ‡บ Australia1 in 8900.11%3.93115,315
30๐Ÿ‡ต๐Ÿ‡ฐ Pakistan1 in 1,0520.10%4.101482
31๐Ÿ‡น๐Ÿ‡ท Turkey1 in 1,0780.09%4.12167,741
32๐Ÿ‡บ๐Ÿ‡ฆ Ukraine1 in 1,2090.08%4.211483
33๐Ÿ‡ง๐Ÿ‡ช Belgium1 in 1,2110.08%4.221482
34๐Ÿ‡ธ๐Ÿ‡ช Sweden1 in 1,2770.08%4.2631,456
35๐Ÿ‡ธ๐Ÿ‡ฆ Saudi Arabia1 in 1,4680.07%4.3541,936
36๐Ÿ‡ฌ๐Ÿ‡ท Greece1 in 1,5560.06%4.391484
37๐Ÿ‡ด๐Ÿ‡ฒ Oman1 in 1,7530.06%4.462964
38๐Ÿ‡ฆ๐Ÿ‡ท Argentina1 in 1,8440.05%4.481483
39๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia1 in 2,2260.04%4.571483
40๐Ÿ‡ณ๐Ÿ‡ด Norway1 in 2,3580.04%4.601482
41๐Ÿ‡ต๐Ÿ‡ฆ Panama1 in 2,8870.03%4.671484
42๐Ÿ‡ธ๐Ÿ‡ฌ Singapore1 in 3,7060.03%4.741481
43๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong1 in 4,0590.02%4.771484
44๐Ÿ‡ง๐Ÿ‡ท Brazil1 in 4,6700.02%4.8041,937
45๐Ÿ‡ฏ๐Ÿ‡ต Japan1 in 5,2270.02%4.821482
46๐Ÿ‡จ๐Ÿ‡ณ China1 in 12,5220.01%4.921481
47๐Ÿ‡น๐Ÿ‡ผ Taiwan1 in โ€”0.00%5.0000
48๐Ÿ‡ฎ๐Ÿ‡ท Iran1 in โ€”0.00%5.0000
49๐Ÿ‡ฐ๐Ÿ‡ท South Korea1 in โ€”0.00%5.0000
50๐Ÿ‡จ๐Ÿ‡ฑ Chile1 in โ€”0.00%5.0000
51๐Ÿ‡ฎ๐Ÿ‡ถ Iraq1 in โ€”0.00%5.0000
52๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka1 in โ€”0.00%5.0000
53๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan1 in โ€”0.00%5.0000
54๐Ÿ‡ฎ๐Ÿ‡ฑ Israel1 in โ€”0.00%5.0000
55๐Ÿ‡น๐Ÿ‡ณ Tunisia1 in โ€”0.00%5.0000
56๐Ÿ‡ฆ๐Ÿ‡น Austria1 in โ€”0.00%5.0000
57๐Ÿ‡ฎ๐Ÿ‡ธ Iceland1 in โ€”0.00%5.0000
58๐Ÿ‡ป๐Ÿ‡ณ Vietnam1 in โ€”0.00%5.0000
59๐Ÿ‡ฐ๐Ÿ‡ผ Kuwait1 in โ€”0.00%5.0000
60๐Ÿ‡ต๐Ÿ‡ญ Philippines1 in โ€”0.00%5.0000
61๐Ÿ‡ฒ๐Ÿ‡ฆ Morocco1 in โ€”0.00%5.0000
62๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg1 in โ€”0.00%5.0000
63๐Ÿ‡ต๐Ÿ‡ฑ Poland1 in โ€”0.00%5.0000
64๐Ÿ‡น๐Ÿ‡ฒ Turkmenistan1 in โ€”0.00%5.0000
65๐Ÿ‡ต๐Ÿ‡น Portugal1 in โ€”0.00%5.0000
66๐Ÿ‡ท๐Ÿ‡บ Russia1 in โ€”0.00%5.0000
67๐Ÿ‡จ๐Ÿ‡ฟ Czechia1 in โ€”0.00%5.0000
68๐Ÿ‡ฆ๐Ÿ‡ฟ Azerbaijan1 in โ€”0.00%5.0000
69๐Ÿ‡ฐ๐Ÿ‡ต North Korea1 in โ€”0.00%5.0000
70๐Ÿ‡ฉ๐Ÿ‡ฟ Algeria1 in โ€”0.00%5.0000
71๐Ÿ‡ณ๐Ÿ‡ต Nepal1 in โ€”0.00%5.0000
72๐Ÿ‡ฑ๐Ÿ‡ฆ Laos1 in โ€”0.00%5.0000
73๐Ÿ‡ง๐Ÿ‡ฉ Bangladesh1 in โ€”0.00%5.0000
74๐Ÿ‡ฏ๐Ÿ‡ด Jordan1 in โ€”0.00%5.0000
75๐Ÿ‡ช๐Ÿ‡จ Ecuador1 in โ€”0.00%5.0000
76๐Ÿ‡จ๐Ÿ‡บ Cuba1 in โ€”0.00%5.0000
77 1 in โ€”0.00%5.0000

Why make this? Vueling lost my gf's suitcase in June 2024 and it then went on a trip to random spots around the world without coming back to us while getting gaslit by useless Vueling staff! We called and DM'd customer support, even messaged the CEO on LinkedIn, all without resolve. In the end we got it back because American Airlines found it. Not even Vueling.

I then realized nobody collects data on how much luggage specific airlines are losing every day (and getting them back to their customers) to avoid the worst ones. This helps me (and hopefully you too) to book with airlines that put effort in to not lose luggage or get it back fast to their customers! And rewards great airlines for not losing our luggage.

How it works? My robot scrapers scour the internet 24/7 for people talking about their lost luggage and which airlines (and airports) they flew, in 100+ different languages. By cross referencing that with actual lost luggage data it estimates very closely how much luggage is constantly being lost. And yes, it takes into account airline size differences by flights and fleet size, and airport size differences by passengers. All major airlines and airports are tracked 24/7.

Next features? As I collect more data over the next few weeks, I can add charts and growth % to see which airlines grow or decrease in lost luggage. If you have more ideas, tweet me!

Limitations? Airlines don't publish live lost luggage data (probably for a reason). Using social media as a data source has limitations but seems to be a good proxy indicator when combined with historical lost luggage data. Probabilities and lost bags are live estimations.

Why do airlines lose luggage? Airports and airlines, especially in US and Europe, are trying to maximize the amount of flights they can operate (and money they can make) while minimzing the cost (giving you cheap flights!). Part of that is underpaying the people handling your luggage. Because they don't want to pay more, there's a shortage of people who want to do those jobs, and the quality of the people remaining to do those jobs is low. At the same time the load on airlines and airports has never been so high. That's why luggage handlers will cut corners and might wrongly tag you luggage, load it onto the wrong plane, or even damage it. Usually your luggage is delayed for a few days and will get back. But increasingly I hear getting back your luggage is getting very hard (like it was in my experience with Vueling). The staff to actually find your delayed luggage, get it to the right airport, and then deliver it to your home or hotel is usually also overworked and underpaid and thus dysfunctional.

Do airlines sell your lost luggage to strangers? Yes they do. Lost luggage that is unclaimed is auctioned off to strangers. But "unclaimed" is a subjective term here. If the airline does not have the staff to actually get your luggage back to you, they'll consider it as "unclaimed" after 21 days. Typically its held up to 60 days though but there's no legal requirement for airlines to hold your luggage over 21 days! That means your clothes, your electronics, your personal items you have emotional ties to, even your laptop, will be sold off to strangers and there's nothing you can do about it!

How to avoid losing my luggage? Book flights with airlines that don't lose luggage a lot (the green ones on this page). Avoid airlines that do (the red ones on this page).

Like this? Follow me on X @ @levelsio for more hacky side projects!

Press inquiries? Send me a message on X @ @levelsio. Yes you can use any data from this site as long as you mention it and link back!

My other projects Check out my other projects like Airline List, Nomads.com, Remote OK, Photo AI and Interior AI.


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