by @levelsio and part of Airline List
Why? Vueling lost my gf's suitcase...
Last updated: 11 hours ago from 1,760 live sources
| # | Airline |
Change (last 7d) |
Luggage score (out of 5) |
Complaints (last 30 days) |
Lost bags (last 30 days est.) |
Probability of losing your luggage |
|
| 1 | 🇮🇳 Air India | ▼ 1 | 0.25 | 545 | 58,216 | 1 in 31 | 3.21% |
| 2 | 🇨🇦 WestJet Airlines | ▲ 1 | 0.25 | 458 | 48,938 | 1 in 38 | 2.61% |
| 3 | 🇮🇪 Aer Lingus | ▼ 1 | 0.25 | 161 | 17,361 | 1 in 50 | 2.02% |
| 4 | 🇬🇧 British Airways | ▲ 1 | 0.25 | 754 | 80,180 | 1 in 51 | 1.95% |
| 5 | 🇪🇸 Iberia | = | 0.25 | 205 | 21,709 | 1 in 57 | 1.74% |
| 6 | 🇮🇳 SpiceJet | = | 0.25 | 122 | 12,928 | 1 in 72 | 1.38% |
| 7 | 🇨🇭 Swiss | ▼ 1 | 0.25 | 100 | 10,740 | 1 in 89 | 1.13% |
| 8 | 🇬🇧 easyJet | ▲ 1 | 0.25 | 357 | 37,904 | 1 in 94 | 1.06% |
| 9 | 🇪🇸 Vueling | ▼ 1 | 0.25 | 161 | 17,064 | 1 in 103 | 0.97% |
| 10 | 🇮🇳 IndiGo | ▲ 1 | 0.25 | 244 | 25,876 | 1 in 114 | 0.88% |
| 11 | 🇺🇸 Spirit Airlines | ▼ 11 | 0.25 | 144 | 15,266 | 1 in 123 | 0.81% |
| 12 | 🇬🇷 Aegean Airlines | ▼ 6 | 0.25 | 57 | 6,086 | 1 in 124 | 0.81% |
| 13 | 🇵🇭 Cebu Pacific | ▲ 2 | 0.25 | 57 | 6,023 | 1 in 125 | 0.80% |
| 14 | 🇬🇧 Jet2 | ▼ 13 | 0.25 | 96 | 10,304 | 1 in 127 | 0.79% |
| 15 | 🇨🇦 Air Canada | ▼ 5 | 0.59 | 187 | 19,892 | 1 in 144 | 0.70% |
| 16 | 🇺🇸 Frontier Airlines | ▲ 1 | 0.93 | 74 | 7,900 | 1 in 156 | 0.64% |
| 17 | 🇰🇪 Kenya Airways | ▲ 5 | 1.13 | 35 | 3,755 | 1 in 164 | 0.61% |
| 18 | 🇩🇪 Lufthansa | ▲ 1 | 1.43 | 214 | 22,932 | 1 in 178 | 0.56% |
| 19 | 🇭🇺 Wizz Air | ▼ 4 | 1.50 | 52 | 5,597 | 1 in 181 | 0.55% |
| 20 | 🇺🇸 United Airlines | ▲ 7 | 1.57 | 575 | 61,983 | 1 in 185 | 0.54% |
| 21 | 🇦🇹 Austrian Airlines | ▲ 7 | 1.84 | 61 | 6,525 | 1 in 200 | 0.50% |
| 22 | 🇺🇸 American Airlines | ▲ 1 | 1.85 | 684 | 72,573 | 1 in 201 | 0.50% |
| 23 | 🇳🇱 KLM | ▼ 2 | 1.86 | 83 | 8,909 | 1 in 202 | 0.50% |
| 24 | 🇲🇦 Royal Air Maroc | ▼ 23 | 1.87 | 39 | 4,177 | 1 in 202 | 0.49% |
| 25 | 🇨🇴 Avianca | ▲ 6 | 2.01 | 118 | 12,561 | 1 in 212 | 0.47% |
| 26 | 🇶🇦 Qatar Airways | ▼ 7 | 2.11 | 144 | 15,415 | 1 in 219 | 0.46% |
| 27 | 🇮🇸 Icelandair | ▼ 13 | 2.27 | 22 | 2,317 | 1 in 232 | 0.43% |
| 28 | 🇵🇹 TAP Portugal | ▲ 12 | 2.27 | 39 | 4,168 | 1 in 232 | 0.43% |
| 29 | 🇦🇷 Aerolineas Argentinas | ▼ 13 | 2.34 | 35 | 3,748 | 1 in 238 | 0.42% |
| 30 | 🇦🇪 flydubai | ▼ 22 | 2.53 | 35 | 3,716 | 1 in 256 | 0.39% |
| 31 | 🇬🇧 Virgin Atlantic | ▼ 4 | 2.60 | 26 | 2,791 | 1 in 264 | 0.38% |
| 32 | 🇪🇹 Ethiopian Airlines | ▲ 8 | 2.78 | 35 | 3,719 | 1 in 285 | 0.35% |
| 33 | 🇪🇸 Air Europa | ▲ 1 | 2.90 | 22 | 2,338 | 1 in 302 | 0.33% |
| 34 | 🇦🇪 Emirates | ▲ 4 | 2.95 | 113 | 12,109 | 1 in 310 | 0.32% |
| 35 | 🇹🇷 Turkish Airlines | ▼ 3 | 3.08 | 144 | 15,317 | 1 in 330 | 0.30% |
| 36 | 🇨🇱 LATAM Chile | ▲ 5 | 3.13 | 52 | 5,570 | 1 in 339 | 0.29% |
| 37 | 🇺🇸 Delta Air Lines | ▲ 1 | 3.15 | 357 | 38,104 | 1 in 343 | 0.29% |
| 38 | 🇸🇬 Singapore Airlines | ▲ 9 | 3.17 | 48 | 5,156 | 1 in 346 | 0.29% |
| 39 | 🇪🇬 EgyptAir | ▼ 6 | 3.22 | 22 | 2,330 | 1 in 356 | 0.28% |
| 40 | 🇲🇽 Aeromexico | ▲ 14 | 3.38 | 26 | 2,799 | 1 in 390 | 0.26% |
| 41 | 🇫🇷 Air France | ▲ 4 | 3.38 | 83 | 8,882 | 1 in 391 | 0.26% |
| 42 | 🇹🇷 Pegasus Airlines | ▲ 14 | 3.48 | 26 | 2,775 | 1 in 415 | 0.24% |
| 43 | 🇦🇿 Azerbaijan Airlines | ▼ 1 | 3.48 | 9 | 923 | 1 in 416 | 0.24% |
| 44 | 🇮🇪 Ryanair | ▲ 5 | 3.48 | 144 | 15,225 | 1 in 417 | 0.24% |
| 45 | 🇷🇸 Air Serbia | ▼ 4 | 3.71 | 9 | 936 | 1 in 493 | 0.20% |
| 46 | 🇫🇮 Finnair | ▲ 12 | 3.79 | 22 | 2,323 | 1 in 523 | 0.19% |
| 47 | 🇦🇪 Etihad Airways | ▼ 11 | 3.80 | 31 | 3,230 | 1 in 528 | 0.19% |
| 48 | 🇧🇭 Gulf Air | ▼ 7 | 3.84 | 9 | 931 | 1 in 545 | 0.18% |
| 49 | 🇵🇰 Pakistan International Airlines | ▼ 21 | 3.85 | 9 | 924 | 1 in 548 | 0.18% |
| 50 | 🇺🇸 JetBlue | ▼ 3 | 3.93 | 61 | 6,518 | 1 in 589 | 0.17% |
| 51 | 🇦🇺 Qantas | ▼ 9 | 3.94 | 31 | 3,272 | 1 in 596 | 0.17% |
| 52 | 🇨🇦 Air Transat | ▲ 11 | 3.94 | 9 | 923 | 1 in 599 | 0.17% |
| 53 | 🇩🇪 Eurowings | ▼ 8 | 3.95 | 26 | 2,771 | 1 in 604 | 0.17% |
| 54 | 🇺🇸 Southwest Airlines | ▼ 3 | 3.95 | 166 | 17,718 | 1 in 604 | 0.17% |
| 55 | 🇸🇪 SAS Scandinavia | ▲ 4 | 4.05 | 26 | 2,798 | 1 in 665 | 0.15% |
| 56 | 🇮🇹 ITA Airways | ▲ 8 | 4.12 | 22 | 2,324 | 1 in 720 | 0.14% |
| 57 | 🇱🇰 SriLankan Airlines | ▲ 14 | 4.12 | 4 | 468 | 1 in 722 | 0.14% |
| 58 | 🇺🇸 Hawaiian Airlines | ▲ 4 | 4.13 | 13 | 1,392 | 1 in 728 | 0.14% |
| 59 | 🇲🇾 Air Asia | ▲ 3 | 4.21 | 31 | 3,250 | 1 in 799 | 0.13% |
| 60 | 🇹🇭 Thai Airways | ▲ 14 | 4.30 | 13 | 1,383 | 1 in 900 | 0.11% |
| 61 | 🇵🇦 COPA Airlines | ▼ 3 | 4.37 | 13 | 1,399 | 1 in 1,000 | 0.10% |
| 62 | 🇸🇦 Saudia | ▲ 3 | 4.37 | 26 | 2,806 | 1 in 1,013 | 0.10% |
| 63 | 🇳🇿 Air New Zealand | ▲ 13 | 4.38 | 9 | 925 | 1 in 1,013 | 0.10% |
| 64 | 🇭🇰 Cathay Pacific | ▼ 6 | 4.40 | 17 | 1,855 | 1 in 1,060 | 0.09% |
| 65 | 🇴🇲 Oman Air | ▼ 2 | 4.65 | 9 | 926 | 1 in 1,826 | 0.05% |
| 66 | 🇺🇸 Alaska Airlines | = | 4.70 | 22 | 2,312 | 1 in 2,126 | 0.05% |
| 67 | 🇮🇩 Garuda Indonesia | ▼ 3 | 4.73 | 9 | 936 | 1 in 2,347 | 0.04% |
| 68 | 🇧🇷 LATAM Brazil | ▲ 6 | 4.74 | 9 | 932 | 1 in 2,423 | 0.04% |
| 69 | 🇳🇴 Norwegian | ▲ 6 | 4.74 | 4 | 467 | 1 in 2,432 | 0.04% |
| 70 | 🇲🇾 Malaysia Airlines | = | 4.77 | 4 | 465 | 1 in 2,740 | 0.04% |
| 71 | 🇺🇸 Allegiant Air | ▲ 6 | 4.80 | 4 | 468 | 1 in 3,150 | 0.03% |
| 72 | 🇯🇵 All Nippon Airways (ANA) | ▲ 4 | 4.83 | 9 | 931 | 1 in 3,827 | 0.03% |
| 73 | 🇸🇬 Scoot | ▲ 4 | 4.85 | 4 | 463 | 1 in 4,349 | 0.02% |
These airlines receive the dubious honor of losing the most luggage:
|
🏆 🇮🇳 Air India |
||
|
🥈 🇨🇦 WestJet Airlines |
🥉 🇮🇪 Aer Lingus |
These airlines receive the award of losing the least luggage:
|
🏆 🇸🇬 Scoot |
||
|
🥈 🇯🇵 All Nippon Airways (ANA) |
🥉 🇺🇸 Allegiant Air |
| # | Region |
Luggage score (out of 5) |
Complaints (last 30 days) |
Lost bags (last 30 days est.) |
Probability of losing your luggage |
|
| 1 | Africa | 0.30 | 109 | 11,651 | 1 in 202 | 0.49% |
| 2 | Europe | 0.91 | 2,915 | 310,744 | 1 in 232 | 0.43% |
| 3 | North America | 2.23 | 2,754 | 293,985 | 1 in 343 | 0.29% |
| 4 | Latin America | 2.38 | 253 | 27,008 | 1 in 363 | 0.28% |
| 5 | Middle East | 2.77 | 388 | 41,462 | 1 in 425 | 0.24% |
| 6 | Asia | 3.68 | 1,124 | 119,798 | 1 in 722 | 0.14% |
| 7 | Oceania | 3.73 | 39 | 4,197 | 1 in 751 | 0.13% |
| # | Country |
Luggage score (out of 5) |
Complaints (last 30 days) |
Lost bags (last 30 days est.) |
Probability of losing your luggage |
|
| 1 | 🇮🇳 India | 0.25 | 911 | 97,021 | 1 in 72 | 1.38% |
| 2 | 🇮🇪 Ireland | 0.25 | 305 | 32,586 | 1 in 89 | 1.13% |
| 3 | 🇨🇭 Switzerland | 0.25 | 100 | 10,740 | 1 in 89 | 1.13% |
| 4 | 🇪🇸 Spain | 0.25 | 388 | 41,112 | 1 in 103 | 0.97% |
| 5 | 🇬🇧 United Kingdom | 0.25 | 1,233 | 131,179 | 1 in 108 | 0.92% |
| 6 | 🇬🇷 Greece | 0.25 | 57 | 6,086 | 1 in 124 | 0.81% |
| 7 | 🇵🇭 Philippines | 0.25 | 57 | 6,023 | 1 in 125 | 0.80% |
| 8 | 🇨🇦 Canada | 0.25 | 654 | 69,753 | 1 in 144 | 0.70% |
| 9 | 🇰🇪 Kenya | 0.25 | 35 | 3,755 | 1 in 164 | 0.61% |
| 10 | 🇭🇺 Hungary | 0.25 | 52 | 5,597 | 1 in 181 | 0.55% |
| 11 | 🇦🇹 Austria | 0.25 | 61 | 6,525 | 1 in 200 | 0.50% |
| 12 | 🇳🇱 Netherlands | 0.29 | 83 | 8,909 | 1 in 202 | 0.50% |
| 13 | 🇲🇦 Morocco | 0.30 | 39 | 4,177 | 1 in 202 | 0.49% |
| 14 | 🇨🇴 Colombia | 0.51 | 118 | 12,561 | 1 in 212 | 0.47% |
| 15 | 🇶🇦 Qatar | 0.67 | 144 | 15,415 | 1 in 219 | 0.46% |
| 16 | 🇮🇸 Iceland | 0.91 | 22 | 2,317 | 1 in 232 | 0.43% |
| 17 | 🇵🇹 Portugal | 0.91 | 39 | 4,168 | 1 in 232 | 0.43% |
| 18 | 🇦🇷 Argentina | 1.00 | 35 | 3,748 | 1 in 238 | 0.42% |
| 19 | 🇩🇪 Germany | 1.54 | 240 | 25,703 | 1 in 274 | 0.36% |
| 20 | 🇪🇹 Ethiopia | 1.67 | 35 | 3,719 | 1 in 285 | 0.35% |
| 21 | 🇦🇪 United Arab Emirates | 1.93 | 179 | 19,055 | 1 in 310 | 0.32% |
| 22 | 🇨🇱 Chile | 2.20 | 52 | 5,570 | 1 in 339 | 0.29% |
| 23 | 🇪🇬 Egypt | 2.33 | 22 | 2,330 | 1 in 356 | 0.28% |
| 24 | 🇹🇷 Turkey | 2.42 | 170 | 18,092 | 1 in 368 | 0.27% |
| 25 | 🇲🇽 Mexico | 2.56 | 26 | 2,799 | 1 in 390 | 0.26% |
| 26 | 🇫🇷 France | 2.57 | 83 | 8,882 | 1 in 391 | 0.26% |
| 27 | 🇦🇿 Azerbaijan | 2.72 | 9 | 923 | 1 in 416 | 0.24% |
| 28 | 🇺🇸 United States | 2.81 | 2,100 | 224,233 | 1 in 433 | 0.23% |
| 29 | 🇷🇸 Serbia | 3.07 | 9 | 936 | 1 in 493 | 0.20% |
| 30 | 🇫🇮 Finland | 3.18 | 22 | 2,323 | 1 in 523 | 0.19% |
| 31 | 🇧🇭 Bahrain | 3.26 | 9 | 931 | 1 in 545 | 0.18% |
| 32 | 🇵🇰 Pakistan | 3.27 | 9 | 924 | 1 in 548 | 0.18% |
| 33 | 🇦🇺 Australia | 3.41 | 31 | 3,272 | 1 in 596 | 0.17% |
| 34 | 🇸🇬 Singapore | 3.52 | 52 | 5,618 | 1 in 640 | 0.16% |
| 35 | 🇸🇪 Sweden | 3.57 | 26 | 2,798 | 1 in 665 | 0.15% |
| 36 | 🇮🇹 Italy | 3.68 | 22 | 2,324 | 1 in 720 | 0.14% |
| 37 | 🇱🇰 Sri Lanka | 3.68 | 4 | 468 | 1 in 722 | 0.14% |
| 38 | 🇹🇭 Thailand | 3.94 | 13 | 1,383 | 1 in 900 | 0.11% |
| 39 | 🇵🇦 Panama | 4.05 | 13 | 1,399 | 1 in 1,000 | 0.10% |
| 40 | 🇸🇦 Saudi Arabia | 4.06 | 26 | 2,806 | 1 in 1,013 | 0.10% |
| 41 | 🇳🇿 New Zealand | 4.06 | 9 | 925 | 1 in 1,013 | 0.10% |
| 42 | 🇭🇰 Hong Kong | 4.10 | 17 | 1,855 | 1 in 1,060 | 0.09% |
| 43 | 🇲🇾 Malaysia | 4.23 | 35 | 3,716 | 1 in 1,237 | 0.08% |
| 44 | 🇴🇲 Oman | 4.48 | 9 | 926 | 1 in 1,826 | 0.05% |
| 45 | 🇮🇩 Indonesia | 4.60 | 9 | 936 | 1 in 2,347 | 0.04% |
| 46 | 🇧🇷 Brazil | 4.61 | 9 | 932 | 1 in 2,423 | 0.04% |
| 47 | 🇳🇴 Norway | 4.61 | 4 | 467 | 1 in 2,432 | 0.04% |
| 48 | 🇯🇵 Japan | 4.75 | 9 | 931 | 1 in 3,827 | 0.03% |
How it works? My robot scrapers scour the internet 24/7 for people talking about their lost luggage and which airlines 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. All major airlines 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? Vueling lost my gf's suitcase last week and it's now on a trip to random spots around the world without coming back to us while getting gaslit by useless Vueling staff! I realized nobody collects data on how much luggage specific airlines are losing every day 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.
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!