On-time performance flight data
Discover the world's most punctual global airlines
Explore June'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)
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All airlines (more than 1,500 flights)
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| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Qantas Airways | Southwest Pacific | 87.16% | 1.59% | 22,617 |
| 2 | Avianca | Latin America : Upper South America | 87.00% | 0.97% | 22,910 |
| 3 | IndiGo | Asia : South Asia | 86.64% | 0.20% | 64,599 |
| 4 | SAS Scandinavian Airlines | Europe : Western Europe | 83.65% | 2.04% | 22,943 |
| 5 | Pegasus Airlines | Europe : Eastern/Central Europe | 83.10% | 0.26% | 20,121 |
| 6 | Azul Airlines | Latin America : Lower South America | 81.92% | 2.54% | 22,646 |
| 7 | LATAM Airlines Group | Latin America : Lower South America | 81.73% | 1.34% | 48,475 |
| 8 | Delta Air Lines | North America | 81.32% | 1.43% | 158,530 |
| 9 | China Southern Airlines | Asia : North East Asia | 80.89% | 0.31% | 62,991 |
| 10 | Alaska Airlines | North America | 80.38% | 0.76% | 47,548 |
| 11 | Japan Airlines | Asia : North East Asia | 79.85% | 3.58% | 25,289 |
| 12 | Hainan Airlines | Asia : North East Asia | 78.25% | 2.87% | 20,747 |
| 13 | JetBlue Airways | North America | 77.66% | 1.27% | 28,061 |
| 14 | All Nippon Airways | Asia : North East Asia | 77.11% | 3.29% | 24,928 |
| 15 | KLM Royal Dutch Airlines | Europe : Western Europe | 75.64% | 2.88% | 22,628 |
| 16 | China Eastern Airlines | Asia : North East Asia | 75.16% | 3.51% | 64,684 |
| 17 | United Airlines | North America | 75.00% | 1.17% | 156,494 |
| 18 | Deutsche Lufthansa Ag | Europe : Western Europe | 74.49% | 1.45% | 31,422 |
| 19 | American Airlines | North America | 72.21% | 3.10% | 202,446 |
| 20 | Air France | Europe : Western Europe | 71.95% | 1.04% | 23,757 |
| 21 | Frontier Airlines | North America | 70.97% | 1.50% | 20,194 |
| 22 | British Airways | Europe : Western Europe | 70.07% | 2.01% | 26,395 |
| 23 | Ryanair | Europe : Western Europe | 69.74% | 0.12% | 112,420 |
| 24 | Air Canada | North America | 69.26% | 4.40% | 34,067 |
| 25 | easyJet | Europe : Western Europe | 65.71% | 1.33% | 56,054 |
| 26 | Southwest Airlines | North America | 64.94% | 0.53% | 124,517 |
Major airlines = more than 20,000 flights in Jun 2026 · Source: OAG Flight Status Data
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| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Saudi Arabian Airlines | Middle East | 92.41% | 0.31% | 13,343 |
| 2 | Copa Airlines | Latin America : Central America | 90.75% | 0.25% | 12,584 |
| 3 | Korean Air | Asia : North East Asia | 89.17% | 0.26% | 10,736 |
| 4 | Air India | Asia : South Asia | 87.41% | 0.08% | 15,257 |
| 5 | Aeromexico | Latin America : Central America | 87.14% | 0.16% | 14,793 |
| 6 | WestJet | North America | 86.17% | 0.65% | 16,779 |
| 7 | Emirates | Middle East | 85.24% | 0.16% | 12,608 |
| 8 | Air New Zealand | Southwest Pacific | 84.42% | 3.61% | 12,635 |
| 9 | Qatar Airways | Middle East | 83.22% | 0.48% | 13,365 |
| 10 | Airasia | Asia : South East Asia | 83.02% | 0.91% | 14,502 |
| 11 | Volaris | Latin America : Central America | 82.93% | 0.25% | 15,809 |
| 12 | Austrian Airlines Ag Dba Austrian | Europe : Western Europe | 82.20% | 0.59% | 11,790 |
| 13 | Iberia | Europe : Western Europe | 81.70% | 0.88% | 19,385 |
| 14 | Wizz Air | Europe : Eastern/Central Europe | 81.44% | 0.11% | 17,029 |
| 15 | Vivaaerobus | Latin America : Central America | 81.37% | 0.68% | 13,919 |
| 16 | Juneyao Airlines | Asia : North East Asia | 81.30% | 1.01% | 10,067 |
| 17 | Shandong Airlines | Asia : North East Asia | 80.17% | 0.18% | 14,842 |
| 18 | Virgin Australia International | Southwest Pacific | 80.12% | 0.96% | 13,192 |
| 19 | Aer Lingus | Europe : Western Europe | 79.95% | 0.51% | 11,178 |
| 20 | Cebu Pacific Air | Asia : South East Asia | 79.83% | 0.00% | 11,088 |
| 21 | Spring Airlines | Asia : North East Asia | 79.32% | 0.74% | 17,063 |
| 22 | Air India Express | Asia : South Asia | 79.13% | 0.03% | 12,763 |
| 23 | Wizz Air Malta | Europe : Western Europe | 78.47% | 0.13% | 15,405 |
| 24 | Jetstar Airways | Southwest Pacific | 75.86% | 0.77% | 10,483 |
| 25 | Finnair | Europe : Western Europe | 73.96% | 1.08% | 10,046 |
| 26 | Xiamen Airlines | Asia : North East Asia | 73.37% | 1.16% | 16,829 |
| 27 | Cathay Pacific Airways | Asia : North East Asia | 70.51% | 0.24% | 10,203 |
| 28 | Ethiopian Airlines | Africa : Eastern Africa | 69.69% | 0.02% | 14,053 |
| 29 | Eurowings | Europe : Western Europe | 68.99% | 0.55% | 17,241 |
| 30 | Allegiant Air | North America | 68.89% | 0.50% | 12,648 |
| 31 | ITA Airways | Europe : Western Europe | 67.61% | 0.10% | 10,498 |
| 32 | Swiss | Europe : Western Europe | 67.17% | 1.43% | 12,598 |
| 33 | Shenzhen Airlines | Asia : North East Asia | 65.67% | 1.49% | 19,303 |
| 34 | Jet2.Com | Europe : Western Europe | 61.28% | 0.00% | 14,930 |
| 35 | Aegean Airlines | Europe : Western Europe | 59.39% | 0.14% | 11,297 |
Large airlines = between 10,000 and 20,000 flights in Jun 2026 · Source: OAG Flight Status Data
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| # | Airline | Region | OTP | Cancellations | Flights |
|---|---|---|---|---|---|
| 1 | Garuda Indonesia | Asia : South East Asia | 97.13% | 0.72% | 6,283 |
| 2 | Fuji Dream Airlines | Asia : North East Asia | 93.29% | 0.91% | 2,520 |
| 3 | FlySafair | Africa : Southern Africa | 93.18% | 0.54% | 4,964 |
| 4 | Philippines Airasia Inc. | Asia : South East Asia | 92.96% | 0.00% | 2,535 |
| 5 | Saudi Arabian Airlines | Middle East | 92.41% | 0.31% | 13,343 |
| 6 | Royal Jordanian | Middle East | 92.14% | 1.25% | 3,597 |
| 7 | Sky Airline | Latin America : Lower South America | 91.87% | 0.54% | 3,894 |
| 8 | South African Airways | Africa : Southern Africa | 91.44% | 0.32% | 1,895 |
| 9 | Copa Airlines | Latin America : Central America | 90.75% | 0.25% | 12,584 |
| 10 | Jeju Airlines | Asia : North East Asia | 90.12% | 0.13% | 6,259 |
| 11 | Citilink | Asia : South East Asia | 89.98% | 1.12% | 7,405 |
| 12 | Philippine Airlines | Asia : South East Asia | 89.56% | 1.10% | 7,828 |
| 13 | flynas | Middle East | 89.34% | 0.10% | 6,872 |
| 14 | Chengdu Airlines | Asia : North East Asia | 89.33% | 1.57% | 9,764 |
| 15 | Korean Air | Asia : North East Asia | 89.17% | 0.26% | 10,736 |
| 16 | Peach Aviation Limited | Asia : North East Asia | 88.91% | 0.30% | 5,356 |
| 17 | Qingdao Airline | Asia : North East Asia | 88.58% | 1.33% | 3,544 |
| 18 | Cebgo | Asia : South East Asia | 88.42% | 0.00% | 2,506 |
| 19 | Caribbean Airlines | Latin America : Caribbean | 88.14% | 0.40% | 2,278 |
| 20 | flydubai | Middle East | 87.55% | 1.35% | 6,734 |
| 21 | Oman Air | Middle East | 87.46% | 0.62% | 2,890 |
| 22 | Air India | Asia : South Asia | 87.41% | 0.08% | 15,257 |
| 23 | Qantas Airways | Southwest Pacific | 87.16% | 1.59% | 22,617 |
| 24 | Aeromexico | Latin America : Central America | 87.14% | 0.16% | 14,793 |
| 25 | Avianca | Latin America : Upper South America | 87.00% | 0.97% | 22,910 |
| 26 | IndiGo | Asia : South Asia | 86.64% | 0.20% | 64,599 |
| 27 | Changan Airlines | Asia : North East Asia | 86.63% | 0.53% | 1,874 |
| 28 | Jiangxi Air | Asia : North East Asia | 86.47% | 0.34% | 2,087 |
| 29 | Guangxi Beibu Gulf Airlines | Asia : North East Asia | 86.23% | 0.32% | 2,814 |
| 30 | WestJet | North America | 86.17% | 0.65% | 16,779 |
| 31 | Urumqi Airlines | Asia : North East Asia | 86.05% | 0.10% | 1,956 |
| 32 | Middle East Airlines | Middle East | 85.91% | 0.00% | 1,648 |
| 33 | Zhejiang Loong Airlines | Asia : North East Asia | 85.46% | 0.04% | 8,286 |
| 34 | Emirates | Middle East | 85.24% | 0.16% | 12,608 |
| 35 | Kunming Airlines | Asia : North East Asia | 85.18% | 0.48% | 3,544 |
| 36 | Star Flyer | Asia : North East Asia | 85.08% | 1.86% | 1,825 |
| 37 | Jambojet | Africa : Eastern Africa | 84.55% | 0.31% | 1,630 |
| 38 | Ruili Airlines | Asia : North East Asia | 84.46% | 0.69% | 3,463 |
| 39 | Air New Zealand | Southwest Pacific | 84.42% | 3.61% | 12,635 |
| 40 | Malaysia Airlines | Asia : South East Asia | 84.19% | 0.00% | 7,807 |
| 41 | Jetsmart | Latin America : Lower South America | 84.13% | 0.00% | 7,476 |
| 42 | Aerolineas Argentinas | Latin America : Lower South America | 84.13% | 0.17% | 6,875 |
| 43 | Hebei Airlines | Asia : North East Asia | 84.12% | 0.46% | 2,828 |
| 44 | Icelandair | Europe : Western Europe | 83.88% | 1.41% | 4,181 |
| 45 | SAS Scandinavian Airlines | Europe : Western Europe | 83.65% | 2.04% | 22,943 |
| 46 | Qatar Airways | Middle East | 83.22% | 0.48% | 13,365 |
| 47 | Pegasus Airlines | Europe : Eastern/Central Europe | 83.10% | 0.26% | 20,121 |
| 48 | Airasia | Asia : South East Asia | 83.02% | 0.91% | 14,502 |
| 49 | Volaris | Latin America : Central America | 82.93% | 0.25% | 15,809 |
| 50 | Lucky Air | Asia : North East Asia | 82.78% | 1.15% | 5,381 |
| 51 | Tianjin Airlines | Asia : North East Asia | 82.76% | 1.87% | 9,347 |
| 52 | Beijing Capital Airlines | Asia : North East Asia | 82.49% | 0.00% | 7,068 |
| 53 | West Air | Asia : North East Asia | 82.36% | 0.47% | 5,368 |
| 54 | Flair Airlines | North America | 82.29% | 0.16% | 2,472 |
| 55 | Austrian Airlines Ag Dba Austrian | Europe : Western Europe | 82.20% | 0.59% | 11,790 |
| 56 | Azul Airlines | Latin America : Lower South America | 81.92% | 2.54% | 22,646 |
| 57 | Breeze Airways | North America | 81.82% | 0.03% | 6,918 |
| 58 | LATAM Airlines Group | Latin America : Lower South America | 81.73% | 1.34% | 48,475 |
| 59 | Iberia | Europe : Western Europe | 81.70% | 0.88% | 19,385 |
| 60 | Fuzhou Airlines Co., Ltd | Asia : North East Asia | 81.60% | 0.00% | 1,946 |
| 61 | Wizz Air | Europe : Eastern/Central Europe | 81.44% | 0.11% | 17,029 |
| 62 | Vivaaerobus | Latin America : Central America | 81.37% | 0.68% | 13,919 |
| 63 | Delta Air Lines | North America | 81.32% | 1.43% | 158,530 |
| 64 | Juneyao Airlines | Asia : North East Asia | 81.30% | 1.01% | 10,067 |
| 65 | Xizang Airlines | Asia : North East Asia | 81.24% | 1.17% | 5,704 |
| 66 | China Southern Airlines | Asia : North East Asia | 80.89% | 0.31% | 62,991 |
| 67 | Jetstar Japan | Asia : North East Asia | 80.84% | 2.67% | 2,885 |
| 68 | Alaska Airlines | North America | 80.38% | 0.76% | 47,548 |
| 69 | SunExpress | Europe : Eastern/Central Europe | 80.33% | 0.02% | 9,918 |
| 70 | Shandong Airlines | Asia : North East Asia | 80.17% | 0.18% | 14,842 |
| 71 | Virgin Australia International | Southwest Pacific | 80.12% | 0.96% | 13,192 |
| 72 | Solaseed | Asia : North East Asia | 80.01% | 5.02% | 2,372 |
| 73 | Aer Lingus | Europe : Western Europe | 79.95% | 0.51% | 11,178 |
| 74 | Japan Airlines | Asia : North East Asia | 79.85% | 3.58% | 25,289 |
| 75 | Cebu Pacific Air | Asia : South East Asia | 79.83% | 0.00% | 11,088 |
| 76 | Norwegian Air Shuttle | Europe : Western Europe | 79.39% | 0.50% | 7,847 |
| 77 | HK Express | Asia : North East Asia | 79.33% | 0.21% | 3,339 |
| 78 | Spring Airlines | Asia : North East Asia | 79.32% | 0.74% | 17,063 |
| 79 | Cape Air | North America | 79.26% | 3.82% | 8,045 |
| 80 | Virgin Atlantic Airways | Europe : Western Europe | 79.22% | 3.43% | 2,247 |
| 81 | Air India Express | Asia : South Asia | 79.13% | 0.03% | 12,763 |
| 82 | Norwegian | Europe : Western Europe | 78.66% | 0.75% | 7,844 |
| 83 | Wizz Air Malta | Europe : Western Europe | 78.47% | 0.13% | 15,405 |
| 84 | Hainan Airlines | Asia : North East Asia | 78.25% | 2.87% | 20,747 |
| 85 | Fiji Airways | Southwest Pacific | 78.11% | 1.39% | 2,439 |
| 86 | JetBlue Airways | North America | 77.66% | 1.27% | 28,061 |
| 87 | All Nippon Airways | Asia : North East Asia | 77.11% | 3.29% | 24,928 |
| 88 | Porter Airlines | North America | 76.86% | 0.89% | 7,762 |
| 89 | Etihad Airways | Middle East | 76.73% | 0.07% | 8,404 |
| 90 | Jetstar Airways | Southwest Pacific | 75.86% | 0.77% | 10,483 |
| 91 | KLM Royal Dutch Airlines | Europe : Western Europe | 75.64% | 2.88% | 22,628 |
| 92 | Hong Kong Airlines | Asia : North East Asia | 75.38% | 0.27% | 2,243 |
| 93 | China Eastern Airlines | Asia : North East Asia | 75.16% | 3.51% | 64,684 |
| 94 | United Airlines | North America | 75.00% | 1.17% | 156,494 |
| 95 | Sun Country Airlines | North America | 74.86% | 0.53% | 3,021 |
| 96 | China Airlines | Asia : North East Asia | 74.69% | 0.23% | 4,733 |
| 97 | EVA Airways | Asia : North East Asia | 74.65% | 0.24% | 5,070 |
| 98 | Tarom | Europe : Eastern/Central Europe | 74.52% | 0.65% | 1,681 |
| 99 | Deutsche Lufthansa Ag | Europe : Western Europe | 74.49% | 1.45% | 31,422 |
| 100 | Air Baltic Corporation | Europe : Eastern/Central Europe | 74.40% | 0.07% | 4,546 |
| 101 | Finnair | Europe : Western Europe | 73.96% | 1.08% | 10,046 |
| 102 | Skymark Airlines | Asia : North East Asia | 73.94% | 4.03% | 4,917 |
| 103 | Kenya Airways | Africa : Eastern Africa | 73.83% | 0.49% | 2,678 |
| 104 | Edelweiss Air | Europe : Western Europe | 73.53% | 0.15% | 2,047 |
| 105 | Xiamen Airlines | Asia : North East Asia | 73.37% | 1.16% | 16,829 |
| 106 | Air Dolomiti S.P.A L.A.R.E | Europe : Western Europe | 73.31% | 1.50% | 3,002 |
| 107 | Pacific Coastal Airlines Limited | North America | 72.96% | 3.76% | 2,072 |
| 108 | American Airlines | North America | 72.21% | 3.10% | 202,446 |
| 109 | Air France | Europe : Western Europe | 71.95% | 1.04% | 23,757 |
| 110 | Wizz Air UK | Europe : Western Europe | 71.13% | 0.24% | 2,529 |
| 111 | Frontier Airlines | North America | 70.97% | 1.50% | 20,194 |
| 112 | Cathay Pacific Airways | Asia : North East Asia | 70.51% | 0.24% | 10,203 |
| 113 | Discover Airlines | Europe : Western Europe | 70.31% | 0.28% | 2,461 |
| 114 | British Airways | Europe : Western Europe | 70.07% | 2.01% | 26,395 |
| 115 | TAP Air Portugal | Europe : Western Europe | 70.05% | 0.02% | 9,823 |
| 116 | Air Transat A.T.Inc. | North America | 69.80% | 0.09% | 2,192 |
| 117 | Ryanair | Europe : Western Europe | 69.74% | 0.12% | 112,420 |
| 118 | Ethiopian Airlines | Africa : Eastern Africa | 69.69% | 0.02% | 14,053 |
| 119 | Japan Transocean Air | Asia : North East Asia | 69.51% | 6.70% | 1,867 |
| 120 | Air Canada | North America | 69.26% | 4.40% | 34,067 |
| 121 | SATA Air Açores | Europe : Western Europe | 69.17% | 1.62% | 2,278 |
| 122 | Eurowings | Europe : Western Europe | 68.99% | 0.55% | 17,241 |
| 123 | Nouvelair | Africa : North Africa | 68.98% | 0.15% | 2,047 |
| 124 | Allegiant Air | North America | 68.89% | 0.50% | 12,648 |
| 125 | Air Europa | Europe : Western Europe | 68.60% | 0.30% | 6,245 |
| 126 | AIR DO | Asia : North East Asia | 67.91% | 4.06% | 1,920 |
| 127 | Lufthansa City Airlines | Europe : Western Europe | 67.72% | 1.94% | 2,725 |
| 128 | Brussels Airlines | Europe : Western Europe | 67.69% | 2.94% | 6,902 |
| 129 | Utair Aviation | Europe : Eastern/Central Europe | 67.62% | 3.05% | 4,781 |
| 130 | ITA Airways | Europe : Western Europe | 67.61% | 0.10% | 10,498 |
| 131 | Suparna Airlines Co | Asia : North East Asia | 67.23% | 0.71% | 1,544 |
| 132 | Swiss | Europe : Western Europe | 67.17% | 1.43% | 12,598 |
| 133 | Transavia.Com | Europe : Western Europe | 66.80% | 0.17% | 5,959 |
| 134 | Donghai Airlines | Asia : North East Asia | 66.69% | 0.03% | 3,483 |
| 135 | easyJet | Europe : Western Europe | 65.71% | 1.33% | 56,054 |
| 136 | Shenzhen Airlines | Asia : North East Asia | 65.67% | 1.49% | 19,303 |
| 137 | Condor Flugdienst | Europe : Western Europe | 65.42% | 0.01% | 6,855 |
| 138 | Southwest Airlines | North America | 64.94% | 0.53% | 124,517 |
| 139 | El Al Israel Airlines | Middle East | 64.12% | 0.20% | 3,945 |
| 140 | Jet2.Com | Europe : Western Europe | 61.28% | 0.00% | 14,930 |
| 141 | Aegean Airlines | Europe : Western Europe | 59.39% | 0.14% | 11,297 |
| 142 | InterCaribbean Airways | Latin America : Caribbean | 56.28% | 18.31% | 2,114 |
| 143 | Air Inuit | North America | 54.47% | 8.65% | 1,584 |
| 144 | Sky Express S.A. | Europe : Western Europe | 51.71% | 0.00% | 6,230 |
| 145 | SpiceJet | Asia : South Asia | 37.69% | 7.96% | 2,373 |
All airlines = minimum 1,500 flights in Jun 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.
Usage and attribution
For Media:
- Attribution: Proper credit must be given to OAG, and their website, www.oag.com, should be included.
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