On-time performance flight data
Discover the world's most punctual global airlines
Explore October's OTP results
Every month, we track and present which airlines have achieved the best on-time performance.
Use the tabs below to explore the top:
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Major airlines (more than 20,000 flights)
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Large airlines (between 10,000 and 20,000 flights)
- Low-cost airlines
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All airlines (more than 1,500 flights)
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| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Hainan Airlines | Asia : North East Asia | 93.07% | 1.25% | 21,080 |
| 2 | China Southern Airlines | Asia : North East Asia | 92.59% | 0.12% | 68,901 |
| 3 | Shenzhen Airlines | Asia : North East Asia | 88.38% | 1.44% | 21,817 |
| 4 | Delta Air Lines | North America | 86.59% | 0.26% | 157,945 |
| 5 | SAS Scandinavian Airlines | Europe : Western Europe | 86.42% | 0.68% | 23,109 |
| 6 | All Nippon Airways | Asia : North East Asia | 86.04% | 0.62% | 25,690 |
| 7 | China Eastern Airlines | Asia : North East Asia | 84.63% | 2.61% | 71,793 |
| 8 | Avianca | Latin America : Upper South America | 84.53% | 1.95% | 22,311 |
| 9 | United Airlines | North America | 83.66% | 0.34% | 159,673 |
| 10 | Japan Airlines | Asia : North East Asia | 82.96% | 0.67% | 26,276 |
| 11 | JetBlue Airways | North America | 82.34% | 0.58% | 26,235 |
| 12 | Qantas Airways | Southwest Pacific | 82.33% | 1.61% | 23,750 |
| 13 | LATAM Airlines Group | Latin America : Lower South America | 81.64% | 1.02% | 52,930 |
| 14 | IndiGo | Asia : South Asia | 81.64% | 0.57% | 66,722 |
| 15 | Azul Airlines | Latin America : Lower South America | 81.21% | 2.84% | 25,705 |
| 16 | Alaska Airlines | North America | 80.41% | 1.14% | 46,696 |
| 17 | American Airlines | North America | 79.45% | 0.65% | 204,286 |
| 18 | Deutsche Lufthansa Ag | Europe : Western Europe | 78.53% | 0.36% | 30,916 |
| 19 | Air France | Europe : Western Europe | 77.15% | 0.90% | 22,901 |
| 20 | Air Canada | North America | 74.14% | 2.84% | 32,822 |
| 21 | Southwest Airlines | North America | 71.64% | 0.47% | 126,843 |
| 22 | British Airways | Europe : Western Europe | 71.63% | 1.87% | 26,325 |
| 23 | Ryanair | Europe : Western Europe | 71.41% | 0.17% | 105,787 |
| 24 | KLM Royal Dutch Airlines | Europe : Western Europe | 71.17% | 3.84% | 23,071 |
| 25 | easyJet | Europe : Western Europe | 69.31% | 1.48% | 55,592 |
Major airlines = more than 20,000 flights in Oct 2026 · Source: OAG Flight Status Data
No airlines match your search.
| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Shandong Airlines | Asia : North East Asia | 92.14% | 0.13% | 16,490 |
| 2 | Aeromexico | Latin America : Central America | 91.81% | 0.31% | 14,651 |
| 3 | Chengdu Airlines | Asia : North East Asia | 91.54% | 0.48% | 10,650 |
| 4 | Widerøe's Flyveselskap | Europe : Western Europe | 90.92% | 3.57% | 10,926 |
| 5 | Juneyao Airlines | Asia : North East Asia | 90.83% | 0.11% | 10,811 |
| 6 | Aer Lingus | Europe : Western Europe | 88.06% | 1.47% | 10,065 |
| 7 | Spring Airlines | Asia : North East Asia | 87.61% | 0.63% | 17,856 |
| 8 | Xiamen Airlines | Asia : North East Asia | 87.36% | 1.46% | 18,830 |
| 9 | Austrian Airlines Ag Dba Austrian | Europe : Western Europe | 86.55% | 0.40% | 11,275 |
| 10 | Air New Zealand | Southwest Pacific | 85.91% | 2.49% | 14,101 |
| 11 | China Express Airlines | Asia : North East Asia | 84.48% | 0.68% | 13,210 |
| 12 | Volaris | Latin America : Central America | 84.26% | 0.75% | 15,393 |
| 13 | WestJet | North America | 83.11% | 0.93% | 16,823 |
| 14 | Cathay Pacific Airways | Asia : North East Asia | 82.93% | 0.52% | 10,965 |
| 15 | Copa Airlines | Latin America : Central America | 82.62% | 2.42% | 13,154 |
| 16 | Iberia | Europe : Western Europe | 81.10% | 0.94% | 19,923 |
| 17 | Korean Air | Asia : North East Asia | 80.94% | 0.16% | 11,596 |
| 18 | Finnair | Europe : Western Europe | 80.49% | 0.63% | 10,631 |
| 19 | Air India | Asia : South Asia | 80.49% | 0.64% | 17,900 |
| 20 | SunExpress | Europe : Eastern/Central Europe | 79.88% | 0.05% | 11,514 |
| 21 | Airasia | Asia : South East Asia | 79.40% | 0.41% | 14,571 |
| 22 | Air India Express | Asia : South Asia | 78.87% | 0.19% | 14,053 |
| 23 | Vietnam Airlines | Asia : South East Asia | 78.38% | 1.48% | 13,066 |
| 24 | Vivaaerobus | Latin America : Central America | 78.13% | 1.54% | 13,012 |
| 25 | Frontier Airlines | North America | 77.67% | 0.39% | 18,991 |
| 26 | Allegiant Air | North America | 76.92% | 1.12% | 11,129 |
| 27 | LOT Polish Airlines | Europe : Eastern/Central Europe | 76.46% | 0.36% | 10,057 |
| 28 | Wizz Air | Europe : Eastern/Central Europe | 75.49% | 0.35% | 16,821 |
| 29 | Emirates | Middle East | 74.36% | 0.80% | 14,907 |
| 30 | Virgin Australia International | Southwest Pacific | 73.45% | 1.28% | 14,210 |
| 31 | Qatar Airways | Middle East | 73.38% | 1.53% | 15,614 |
| 32 | Swiss | Europe : Western Europe | 72.61% | 0.90% | 12,601 |
| 33 | Jet2.Com | Europe : Western Europe | 72.22% | 0.02% | 13,764 |
| 34 | Aegean Airlines | Europe : Western Europe | 70.48% | 0.38% | 10,233 |
| 35 | TAP Air Portugal | Europe : Western Europe | 69.85% | 0.11% | 10,325 |
| 36 | Jetstar Airways | Southwest Pacific | 68.12% | 1.92% | 11,928 |
| 37 | Eurowings | Europe : Western Europe | 66.62% | 0.45% | 17,673 |
| 38 | ITA Airways | Europe : Western Europe | 63.92% | 0.60% | 10,149 |
| 39 | Ethiopian Airlines | Africa : Eastern Africa | 59.79% | 0.16% | 14,936 |
| 40 | Saudi Arabian Airlines | Middle East | 45.86% | 20.83% | 12,961 |
Large airlines = between 10,000 and 20,000 flights in Oct 2026 · Source: OAG Flight Status Data
No airlines match your search.
| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Changan Airlines | Asia : North East Asia | 96.04% | 0.00% | 1,753 |
| 2 | Guangxi Beibu Gulf Airlines | Asia : North East Asia | 95.88% | 0.14% | 2,826 |
| 3 | Jiangxi Air | Asia : North East Asia | 94.36% | 0.38% | 2,345 |
| 4 | Star Flyer | Asia : North East Asia | 94.07% | 0.52% | 1,927 |
| 5 | Hainan Airlines | Asia : North East Asia | 93.07% | 1.25% | 21,080 |
| 6 | Qingdao Airline | Asia : North East Asia | 92.86% | 0.11% | 3,735 |
| 7 | Beijing Capital Airlines | Asia : North East Asia | 92.83% | 0.26% | 7,058 |
| 8 | Kunming Airlines | Asia : North East Asia | 92.83% | 0.17% | 3,432 |
| 9 | Zhejiang Loong Airlines | Asia : North East Asia | 92.82% | 0.24% | 8,457 |
| 10 | China Southern Airlines | Asia : North East Asia | 92.59% | 0.12% | 68,901 |
| 11 | Shandong Airlines | Asia : North East Asia | 92.14% | 0.13% | 16,490 |
| 12 | FlySafair | Africa : Southern Africa | 92.09% | 0.18% | 5,434 |
| 13 | Urumqi Airlines | Asia : North East Asia | 91.83% | 0.05% | 2,162 |
| 14 | Aeromexico | Latin America : Central America | 91.81% | 0.31% | 14,651 |
| 15 | Chengdu Airlines | Asia : North East Asia | 91.54% | 0.48% | 10,650 |
| 16 | Hebei Airlines | Asia : North East Asia | 91.52% | 0.15% | 4,100 |
| 17 | Lucky Air | Asia : North East Asia | 91.26% | 0.37% | 5,419 |
| 18 | Widerøe's Flyveselskap | Europe : Western Europe | 90.92% | 3.57% | 10,926 |
| 19 | Juneyao Airlines | Asia : North East Asia | 90.83% | 0.11% | 10,811 |
| 20 | Royal Jordanian | Middle East | 90.48% | 3.17% | 4,106 |
| 21 | Sky Airline | Latin America : Lower South America | 90.37% | 0.34% | 4,691 |
| 22 | HK Express | Asia : North East Asia | 90.10% | 0.29% | 4,200 |
| 23 | Peach Aviation Limited | Asia : North East Asia | 89.76% | 0.09% | 5,645 |
| 24 | Indonesia AirAsia | Asia : South East Asia | 89.09% | 0.04% | 2,494 |
| 25 | Shenzhen Airlines | Asia : North East Asia | 88.38% | 1.44% | 21,817 |
| 26 | Aer Lingus | Europe : Western Europe | 88.06% | 1.47% | 10,065 |
| 27 | South African Airways | Africa : Southern Africa | 87.74% | 0.14% | 2,203 |
| 28 | Spring Airlines | Asia : North East Asia | 87.61% | 0.63% | 17,856 |
| 29 | Air Busan | Asia : North East Asia | 87.49% | 0.00% | 3,606 |
| 30 | Xiamen Airlines | Asia : North East Asia | 87.36% | 1.46% | 18,830 |
| 31 | Garuda Indonesia | Asia : South East Asia | 87.36% | 1.19% | 7,317 |
| 32 | West Air | Asia : North East Asia | 87.22% | 0.26% | 5,807 |
| 33 | Fuzhou Airlines Co., Ltd | Asia : North East Asia | 87.10% | 0.10% | 2,004 |
| 34 | Norwegian Air Shuttle | Europe : Western Europe | 87.02% | 0.03% | 7,662 |
| 35 | Xizang Airlines | Asia : North East Asia | 86.88% | 0.66% | 6,230 |
| 36 | Ruili Airlines | Asia : North East Asia | 86.68% | 1.47% | 3,804 |
| 37 | Oman Air | Middle East | 86.68% | 1.88% | 2,927 |
| 38 | Tianjin Airlines | Asia : North East Asia | 86.61% | 4.39% | 9,404 |
| 39 | Delta Air Lines | North America | 86.59% | 0.26% | 157,945 |
| 40 | Austrian Airlines Ag Dba Austrian | Europe : Western Europe | 86.55% | 0.40% | 11,275 |
| 41 | SAS Scandinavian Airlines | Europe : Western Europe | 86.42% | 0.68% | 23,109 |
| 42 | Caribbean Airlines | Latin America : Caribbean | 86.41% | 0.41% | 2,413 |
| 43 | Hong Kong Airlines | Asia : North East Asia | 86.18% | 0.67% | 2,393 |
| 44 | All Nippon Airways | Asia : North East Asia | 86.04% | 0.62% | 25,690 |
| 45 | Air New Zealand | Southwest Pacific | 85.91% | 2.49% | 14,101 |
| 46 | Middle East Airlines | Middle East | 85.52% | 0.64% | 1,874 |
| 47 | Breeze Airways | North America | 85.45% | 0.10% | 8,259 |
| 48 | China Eastern Airlines | Asia : North East Asia | 84.63% | 2.61% | 71,793 |
| 49 | Japan Transocean Air | Asia : North East Asia | 84.63% | 4.08% | 1,985 |
| 50 | Avianca | Latin America : Upper South America | 84.53% | 1.95% | 22,311 |
| 51 | China Express Airlines | Asia : North East Asia | 84.48% | 0.68% | 13,210 |
| 52 | Volaris | Latin America : Central America | 84.26% | 0.75% | 15,393 |
| 53 | United Airlines | North America | 83.66% | 0.34% | 159,673 |
| 54 | Fiji Airways | Southwest Pacific | 83.37% | 0.27% | 2,564 |
| 55 | WestJet | North America | 83.11% | 0.93% | 16,823 |
| 56 | Japan Airlines | Asia : North East Asia | 82.96% | 0.67% | 26,276 |
| 57 | Cathay Pacific Airways | Asia : North East Asia | 82.93% | 0.52% | 10,965 |
| 58 | Icelandair | Europe : Western Europe | 82.91% | 2.11% | 3,357 |
| 59 | AIR DO | Asia : North East Asia | 82.69% | 0.30% | 2,032 |
| 60 | Copa Airlines | Latin America : Central America | 82.62% | 2.42% | 13,154 |
| 61 | Eastar Jet | Asia : North East Asia | 82.42% | 0.00% | 4,111 |
| 62 | Donghai Airlines | Asia : North East Asia | 82.41% | 0.08% | 3,732 |
| 63 | JetBlue Airways | North America | 82.34% | 0.58% | 26,235 |
| 64 | Qantas Airways | Southwest Pacific | 82.33% | 1.61% | 23,750 |
| 65 | Citilink | Asia : South East Asia | 82.27% | 2.39% | 7,790 |
| 66 | Malaysia Airlines | Asia : South East Asia | 82.18% | 0.06% | 8,321 |
| 67 | Skymark Airlines | Asia : North East Asia | 81.68% | 1.31% | 5,106 |
| 68 | LATAM Airlines Group | Latin America : Lower South America | 81.64% | 1.02% | 52,930 |
| 69 | IndiGo | Asia : South Asia | 81.64% | 0.57% | 66,722 |
| 70 | Jetstar Japan | Asia : North East Asia | 81.55% | 1.91% | 2,989 |
| 71 | Jeju Airlines | Asia : North East Asia | 81.44% | 0.20% | 7,052 |
| 72 | Air Baltic Corporation | Europe : Eastern/Central Europe | 81.40% | 0.02% | 4,131 |
| 73 | Suparna Airlines Co | Asia : North East Asia | 81.27% | 0.12% | 1,629 |
| 74 | Azul Airlines | Latin America : Lower South America | 81.21% | 2.84% | 25,705 |
| 75 | Iberia | Europe : Western Europe | 81.10% | 0.94% | 19,923 |
| 76 | Korean Air | Asia : North East Asia | 80.94% | 0.16% | 11,596 |
| 77 | Finnair | Europe : Western Europe | 80.49% | 0.63% | 10,631 |
| 78 | Air India | Asia : South Asia | 80.49% | 0.64% | 17,900 |
| 79 | Alaska Airlines | North America | 80.41% | 1.14% | 46,696 |
| 80 | Cape Air | North America | 80.36% | 3.36% | 7,533 |
| 81 | Cebu Pacific Air | Asia : South East Asia | 80.12% | 0.04% | 9,913 |
| 82 | Virgin Atlantic Airways | Europe : Western Europe | 79.91% | 0.38% | 2,102 |
| 83 | SunExpress | Europe : Eastern/Central Europe | 79.88% | 0.05% | 11,514 |
| 84 | American Airlines | North America | 79.45% | 0.65% | 204,286 |
| 85 | Airasia | Asia : South East Asia | 79.40% | 0.41% | 14,571 |
| 86 | Air India Express | Asia : South Asia | 78.87% | 0.19% | 14,053 |
| 87 | Tarom | Europe : Eastern/Central Europe | 78.72% | 0.00% | 1,692 |
| 88 | Deutsche Lufthansa Ag | Europe : Western Europe | 78.53% | 0.36% | 30,916 |
| 89 | Vietnam Airlines | Asia : South East Asia | 78.38% | 1.48% | 13,066 |
| 90 | Flair Airlines | North America | 78.22% | 0.05% | 2,106 |
| 91 | Vivaaerobus | Latin America : Central America | 78.13% | 1.54% | 13,012 |
| 92 | Jetsmart | Latin America : Lower South America | 78.09% | 0.00% | 8,391 |
| 93 | Frontier Airlines | North America | 77.67% | 0.39% | 18,991 |
| 94 | Gulf Air | Middle East | 77.30% | 5.67% | 4,199 |
| 95 | Starlux Airlines | Asia : North East Asia | 77.15% | 0.43% | 2,822 |
| 96 | Air France | Europe : Western Europe | 77.15% | 0.90% | 22,901 |
| 97 | Air Dolomiti S.P.A L.A.R.E | Europe : Western Europe | 77.06% | 1.00% | 3,006 |
| 98 | Sun Country Airlines | North America | 76.98% | 0.31% | 2,285 |
| 99 | Allegiant Air | North America | 76.92% | 1.12% | 11,129 |
| 100 | Philippine Airlines | Asia : South East Asia | 76.51% | 2.21% | 9,096 |
| 101 | LOT Polish Airlines | Europe : Eastern/Central Europe | 76.46% | 0.36% | 10,057 |
| 102 | Wizz Air | Europe : Eastern/Central Europe | 75.49% | 0.35% | 16,821 |
| 103 | Akasa Air | Asia : South Asia | 75.47% | 13.78% | 6,423 |
| 104 | Binter Canarias | Europe : Western Europe | 75.22% | 1.22% | 9,109 |
| 105 | Wizz Air UK | Europe : Western Europe | 74.94% | 0.24% | 2,467 |
| 106 | Brussels Airlines | Europe : Western Europe | 74.93% | 2.47% | 6,555 |
| 107 | Porter Airlines | North America | 74.51% | 0.75% | 7,766 |
| 108 | Emirates | Middle East | 74.36% | 0.80% | 14,907 |
| 109 | Edelweiss Air | Europe : Western Europe | 74.30% | 0.22% | 2,266 |
| 110 | Air Canada | North America | 74.14% | 2.84% | 32,822 |
| 111 | Transavia.Com | Europe : Western Europe | 73.97% | 0.21% | 5,731 |
| 112 | Virgin Australia International | Southwest Pacific | 73.45% | 1.28% | 14,210 |
| 113 | Qatar Airways | Middle East | 73.38% | 1.53% | 15,614 |
| 114 | Air Europa | Europe : Western Europe | 72.95% | 0.31% | 6,419 |
| 115 | Pacific Coastal Airlines Limited | North America | 72.91% | 3.90% | 1,921 |
| 116 | Swiss | Europe : Western Europe | 72.61% | 0.90% | 12,601 |
| 117 | Etihad Airways | Middle East | 72.33% | 0.87% | 9,763 |
| 118 | Jet2.Com | Europe : Western Europe | 72.22% | 0.02% | 13,764 |
| 119 | Jambojet | Africa : Eastern Africa | 71.94% | 0.05% | 1,838 |
| 120 | EVA Airways | Asia : North East Asia | 71.79% | 1.14% | 5,421 |
| 121 | Southwest Airlines | North America | 71.64% | 0.47% | 126,843 |
| 122 | British Airways | Europe : Western Europe | 71.63% | 1.87% | 26,325 |
| 123 | Ryanair | Europe : Western Europe | 71.41% | 0.17% | 105,787 |
| 124 | KLM Royal Dutch Airlines | Europe : Western Europe | 71.17% | 3.84% | 23,071 |
| 125 | Thai AirAsia | Asia : South East Asia | 70.91% | 0.06% | 9,771 |
| 126 | El Al Israel Airlines | Middle East | 70.84% | 0.14% | 3,613 |
| 127 | Aegean Airlines | Europe : Western Europe | 70.48% | 0.38% | 10,233 |
| 128 | China Airlines | Asia : North East Asia | 70.13% | 0.32% | 5,066 |
| 129 | Discover Airlines | Europe : Western Europe | 69.86% | 0.48% | 2,698 |
| 130 | TAP Air Portugal | Europe : Western Europe | 69.85% | 0.11% | 10,325 |
| 131 | easyJet | Europe : Western Europe | 69.31% | 1.48% | 55,592 |
| 132 | Lufthansa City Airlines | Europe : Western Europe | 68.92% | 1.11% | 3,420 |
| 133 | Jetstar Airways | Southwest Pacific | 68.12% | 1.92% | 11,928 |
| 134 | Air Transat A.T.Inc. | North America | 67.68% | 0.06% | 1,694 |
| 135 | Nouvelair | Africa : North Africa | 67.29% | 0.00% | 2,003 |
| 136 | Condor Flugdienst | Europe : Western Europe | 67.12% | 0.26% | 6,990 |
| 137 | Eurowings | Europe : Western Europe | 66.62% | 0.45% | 17,673 |
| 138 | flydubai | Middle East | 64.76% | 2.52% | 8,334 |
| 139 | Philippines Airasia Inc. | Asia : South East Asia | 64.42% | 0.72% | 2,220 |
| 140 | ITA Airways | Europe : Western Europe | 63.92% | 0.60% | 10,149 |
| 141 | Aerolineas Argentinas | Latin America : Lower South America | 60.27% | 0.66% | 9,632 |
| 142 | Ethiopian Airlines | Africa : Eastern Africa | 59.79% | 0.16% | 14,936 |
| 143 | Kenya Airways | Africa : Eastern Africa | 56.41% | 0.50% | 2,614 |
| 144 | Air Arabia | Middle East | 50.33% | 1.95% | 7,023 |
| 145 | Saudi Arabian Airlines | Middle East | 45.86% | 20.83% | 12,961 |
| 146 | Air Inuit | North America | 43.38% | 15.52% | 1,650 |
All airlines = minimum 1,500 flights in Oct 2026 · Source: OAG Flight Status Data
No airlines match your search.
| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Jiangxi Air | Asia : North East Asia | 94.36% | 0.38% | 2,345 |
| 2 | Beijing Capital Airlines | Asia : North East Asia | 92.83% | 0.26% | 7,058 |
| 3 | Urumqi Airlines | Asia : North East Asia | 91.83% | 0.05% | 2,162 |
| 4 | Lucky Air | Asia : North East Asia | 91.26% | 0.37% | 5,419 |
| 5 | Sky Airline | Latin America : Lower South America | 90.37% | 0.34% | 4,691 |
| 6 | HK Express | Asia : North East Asia | 90.10% | 0.29% | 4,200 |
| 7 | Peach Aviation Limited | Asia : North East Asia | 89.76% | 0.09% | 5,645 |
| 8 | Indonesia AirAsia | Asia : South East Asia | 89.09% | 0.04% | 2,494 |
| 9 | Spring Airlines | Asia : North East Asia | 87.61% | 0.63% | 17,856 |
| 10 | Air Busan | Asia : North East Asia | 87.49% | 0.00% | 3,606 |
| 11 | West Air | Asia : North East Asia | 87.22% | 0.26% | 5,807 |
| 12 | Norwegian Air Shuttle | Europe : Western Europe | 87.02% | 0.03% | 7,662 |
| 13 | Breeze Airways | North America | 85.45% | 0.10% | 8,259 |
| 14 | Volaris | Latin America : Central America | 84.26% | 0.75% | 15,393 |
| 15 | Eastar Jet | Asia : North East Asia | 82.42% | 0.00% | 4,111 |
| 16 | JetBlue Airways | North America | 82.34% | 0.58% | 26,235 |
| 17 | Citilink | Asia : South East Asia | 82.27% | 2.39% | 7,790 |
| 18 | Skymark Airlines | Asia : North East Asia | 81.68% | 1.31% | 5,106 |
| 19 | IndiGo | Asia : South Asia | 81.64% | 0.57% | 66,722 |
| 20 | Jetstar Japan | Asia : North East Asia | 81.55% | 1.91% | 2,989 |
| 21 | Jeju Airlines | Asia : North East Asia | 81.44% | 0.20% | 7,052 |
| 22 | Azul Airlines | Latin America : Lower South America | 81.21% | 2.84% | 25,705 |
| 23 | Cebu Pacific Air | Asia : South East Asia | 80.12% | 0.04% | 9,913 |
| 24 | SunExpress | Europe : Eastern/Central Europe | 79.88% | 0.05% | 11,514 |
| 25 | Airasia | Asia : South East Asia | 79.40% | 0.41% | 14,571 |
| 26 | Air India Express | Asia : South Asia | 78.87% | 0.19% | 14,053 |
| 27 | Flair Airlines | North America | 78.22% | 0.05% | 2,106 |
| 28 | Vivaaerobus | Latin America : Central America | 78.13% | 1.54% | 13,012 |
| 29 | Jetsmart | Latin America : Lower South America | 78.09% | 0.00% | 8,391 |
| 30 | Frontier Airlines | North America | 77.67% | 0.39% | 18,991 |
| 31 | Sun Country Airlines | North America | 76.98% | 0.31% | 2,285 |
| 32 | Allegiant Air | North America | 76.92% | 1.12% | 11,129 |
| 33 | Wizz Air | Europe : Eastern/Central Europe | 75.49% | 0.35% | 16,821 |
| 34 | Akasa Air | Asia : South Asia | 75.47% | 13.78% | 6,423 |
| 35 | Wizz Air UK | Europe : Western Europe | 74.94% | 0.24% | 2,467 |
| 36 | Transavia.Com | Europe : Western Europe | 73.97% | 0.21% | 5,731 |
| 37 | Virgin Australia International | Southwest Pacific | 73.45% | 1.28% | 14,210 |
| 38 | Jet2.Com | Europe : Western Europe | 72.22% | 0.02% | 13,764 |
| 39 | Jambojet | Africa : Eastern Africa | 71.94% | 0.05% | 1,838 |
| 40 | Southwest Airlines | North America | 71.64% | 0.47% | 126,843 |
| 41 | Ryanair | Europe : Western Europe | 71.41% | 0.17% | 105,787 |
| 42 | Thai AirAsia | Asia : South East Asia | 70.91% | 0.06% | 9,771 |
| 43 | easyJet | Europe : Western Europe | 69.31% | 1.48% | 55,592 |
| 44 | Jetstar Airways | Southwest Pacific | 68.12% | 1.92% | 11,928 |
| 45 | Eurowings | Europe : Western Europe | 66.62% | 0.45% | 17,673 |
| 46 | flydubai | Middle East | 64.76% | 2.52% | 8,334 |
| 47 | Philippines Airasia Inc. | Asia : South East Asia | 64.42% | 0.72% | 2,220 |
| 48 | Air Arabia | Middle East | 50.33% | 1.95% | 7,023 |
Low-cost airlines = minimum 1,500 flights in Oct 2026 · Source: OAG Flight Status Data
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What is OTP
On-time performance (OTP) data is critical to understanding the performance of airlines and airports.
Across the aviation industry, an airline departure or arrival occurring within 15 minutes of the scheduled time is considered on-time.
OTP is a crucial key performance indicator for airlines and airports, it helps to gauge their efficiency and also has the potential to set them apart from their competitors.
Understanding the data
On-time performance data shows the percentage of flights that have departed (for airports) or arrived (for airlines) on-time.
A flight is considered on-time if it has departed or arrived within 15 minutes of the schedule.
The higher the percentage, the better the OTP score.
Cancellations are included in our data and are considered not on-time.
For an airline or airport's OTP to be published, OAG requires access to flight status data for at least 80% of all scheduled flights operated, and to be ranked they must operate a minimum of 1,500 flights that month.
Not included? Contact us and we will be happy to discuss our requirements.
What is OTP in the aviation industry?
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How is airline OTP calculated?
Airline on-time performance is based on actual gate arrival times. Flights that arrive within 15 minutes of the schedule are considered on-time. Arriving 15 minutes or more after the scheduled time is considered not on time.
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Why is OTP important for airlines and airports?
OTP has a critical role to play in airline operations management. Delays affect productivity and cost airlines millions of dollars every year. Flight punctuality is also of the highest importance to the traveler, poor punctuality will mean that flights arrive at their gate late or depart late – which could lead to passengers missing connecting flights. Many airlines have embedded OTP as a KPI using this to measure and evaluate processes and identify improvements to their operations.
Airlines and airports can analyze operational processes with different stakeholders e.g. ground handling and catering companies, and use OTP within their systems to support better collaboration and efficiency. They can understand how operations at different locations perform to understand and learn from best practice.
Many airlines choose to use OTP as one of their performance measures for staff, encouraging teams to work together towards the efficient turnaround of aircraft.
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How can flight on-time performance data be used?
OTP is a valuable metric for airlines and is an outward demonstration of reliability which can affect brand loyalty and ticket sales. Customer satisfaction is influenced by customer expectations and a flight that arrives after the scheduled arrival time can be a stressful experience for passengers. Managing expectations is necessary and On-Time Performance flight and airline statistics provides an external verification about flight reliability, so passengers can be better informed regarding the probability of their flight arriving on-time.
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What is the impact of poor on-time performance?
Poor punctuality means flights arrive at their gate late or depart late, with consequences for other flights planning to use those gates. This results in extended time on taxiways, leading to unnecessary fuel consumption. Additionally, passengers may miss their connecting flights.
Flight punctuality also impacts airline crews; if a flight is delayed, the crew might be unable to operate their subsequent flight, potentially causing further cancellations or delays.
In Europe, where passengers are entitled to compensation for late flights, there is also direct cost associated with poor OTP.
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What is the impact of good on-time performance?
It takes hard work and attention to detail for an airline to operate truly reliable schedules. Achieving a high level of on-time performance is a complex task with a myriad of variables, not all of which lie within the control of an airline. Conversely, poor OTP is often a sign of inefficiencies and weak management control of operations.
For those airlines which succeed the rewards are tangible:- More flights operating according to the schedule reflects an efficient airline.
- Inefficiencies - appearing as late flights and missed connections - cost airlines money for fuel, additional ground handling, staff payments and passenger compensation.
- Passengers, and especially regular fliers, reward reliability with brand loyalty and repeat business.
- Fewer delays and missed connections enhance customer satisfaction.
- Close partnerships with airports on OTP is a pre-requisite for the smooth operation of a hub airport.
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What is a good on-time performance target?
Measuring On-Time Performance can be challenging. With millions and millions of flight records, and real-time updates of hundreds of flights at airports around the globe every day, Any measure that can be applied across companies working in the same sector is valuable as a benchmark for performance.
Probably most people in the industry would accept that an OTP of 80% or above is pretty good. That’s 4 in 5 flights arriving within 15 minutes of their scheduled arrival time. The very best airlines and airports succeed in punctuality closer to 90% - but they remain the exception rather than the rule.
Going much beyond 80% of flights on-time will be easier for some than for others. Operating at congested airports and in congested airspace will make it harder. And as climate change begins to create more chaotic weather conditions, and storms in particular, keeping to schedule will be harder.
Achieving OTP well above 80% requires focus but there may be a point where striving towards ever higher OTP may be detrimental to the bottom line. The benefit of incremental improvements may be outweighed by the cost of achieving them.
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What is schedule padding?
One of the major talking points of airline On-Time Performance statistics is the practice of ‘padding schedules’, where the time between the scheduled departure and the scheduled arrival have increased as a means of achieving higher OTP.
In practice, determining the correct schedule times for a flight are not straightforward. Build in too much padding so that flights are always on-time and you might lose one aircraft rotation each day, which has a major impact on the revenue generated by the asset. Build in too little padding and flights may regularly be late, causing a knock-on effect on every subsequent rotation of that aircraft for the rest of the day.
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Is schedule padding a bad thing?
While schedule padding could be construed as airlines scheduling to make performance look better, there is also a case where congestion actually allows a passenger’s expectations to be met. So schedule padding is not a bad thing, the question we should be asking is are airlines successfully managing their customers’ expectations?
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Is 15 minutes the right on-time measurement?
The idea of having fifteen minutes as a measurement is a hot talking point in the world of OTP. For many in the industry, it is a case of not having enough leeway needed in order to provide a streamlined service, whereas some countries, such as China which uses 30 minutes as its definition of late, have chosen to adopt a different rule.
We explore this question about the right definition of late in more depth here.
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How can airlines and airports improve OTP?
Increasingly airlines and airports are focusing on the detail of achieving strong OTP. Some of the key areas to improve OTP include:
- Collaborative decision making (CDM).
- Good quality metrics and timely dashboards which ensure problems are addressed early.
- Build OTP into performance targets, either with contractors through service agreements, or for staff through bonuses.
- Use of predictive tools is also becoming more commonplace so that data collected as passengers pass through an airport can be used for planning staffing levels or identifying passengers who are late.
Whatever approach an airline or airport takes to managing punctuality, there are no quick fixes. Achieving high levels of punctuality is a complex task and those with high OTP deserve to be congratulated.
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How is OTP tracked?
OTP is tracked through multiple sources including directly from airlines, airports, control authorities and others involved in the wider travel eco-system.
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How often is the data refreshed?
The OTP data is updated each month, usually during the second week. You can sign up to receive notifications by clicking on the link below.
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Why is my airline not included?
To be included in OAG's rankings airlines must reach a minimum size criteria of 1500 flights operated in the current month and a coverage qualification. If you want to discuss our requirements in more detail, click the link below.
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