Narita Airport On-Time Performance & Delays NRT
On-time departure and arrival rates for this airport, compiled from operational records. Departures and arrivals are counted separately.
Cancellation: 1% / Avg delay when late: 47min
Last 28 days ・ 4507 flights
By destination (departures)
| On-time departure | Avg delay when late | n | |||
|---|---|---|---|---|---|
| Brussels | 100% | — | n=8 | Details | |
| Brunei | 100% | — | n=5 | Details | |
| Denpasar I Gusti Ngurah Rai | 100% | — | n=9 | Details | |
| Harbin Taiping | 100% | — | n=23 | Details | |
| Kochi Ryoma | 100% | — | n=9 | Details | |
| Matsuyama | 100% | — | n=22 | Details | |
| Nagasaki | 100% | — | n=10 | Details | |
| Oita | 100% | — | n=9 | Details | |
| Daegu | 100% | — | n=17 | Details | |
| Chengdu Tianfu | 100% | — | n=6 | Details | |
| Tianjin Binhai | 100% | — | n=18 | Details | |
| Calgary | 100% | — | n=9 | Details | |
| Cheongju International Airport/Cheongju Air Base (K-59/G-513) | 96.3% | +18min | n=27 | Details | |
| Chubu Centrair | 96.3% | +17min | n=27 | Details | |
| Beijing Capital | 95.2% | +61min | n=21 | Details | |
| Indira Gandhi | 94.4% | +75min | n=18 | Details | |
| Taichung International Airport / Ching Chuang Kang Air Base | 94.4% | +16min | n=18 | Details | |
| Hamad | 94.1% | +20min | n=34 | Details | |
| Osaka Itami | 94.1% | +18min | n=17 | Details | |
| Dallas Fort Worth | 93.8% | +52min | n=16 | Details | |
| Vancouver | 93.2% | +48min | n=59 | Details | |
| Hangzhou Xiaoshan | 92.9% | +19min | n=14 | Details | |
| Gimhae | 92.4% | +23min | n=92 | Details | |
| Melbourne | 92.3% | +73min | n=13 | Details | |
| Dalian Zhoushuizi | 92% | +30min | n=25 | Details | |
| Antonio B. Won Pat | 91.8% | +77min | n=61 | Details | |
| Soekarno-Hatta | 91.1% | +36min | n=45 | Details | |
| Guangzhou Baiyun | 90.9% | +19min | n=11 | Details | |
| Chongqing Jiangbei | 90.9% | +25min | n=11 | Details | |
| Shenyang Taoxian | 90.9% | +40min | n=11 | Details | |
| Warsaw Chopin | 90.9% | +25min | n=11 | Details | |
| Jeju | 90% | +46min | n=10 | Details | |
| Mactan Cebu | 89.5% | +52min | n=38 | Details | |
| Asahikawa | 88.9% | +16min | n=9 | Details | |
| Amami | 88.9% | +96min | n=9 | Details | |
| Cairns | 88.9% | +32min | n=9 | Details | |
| Frankfurt Main | 88.9% | +18min | n=18 | Details | |
| New Ishigaki | 88.9% | +61min | n=18 | Details | |
| Amsterdam Airport Schiphol | 88.2% | +94min | n=17 | Details | |
| Denver | 88.2% | +61min | n=17 | Details | |
| Helsinki Vantaa | 88.2% | +29min | n=17 | Details | |
| Kumamoto | 88.2% | +32min | n=17 | Details | |
| Ninoy Aquino | 87.5% | +34min | n=88 | Details | |
| Kuala Lumpur | 87.3% | +44min | n=63 | Details | |
| New Chitose | 87.2% | +45min | n=282 | Details | |
| Newark Liberty | 86.7% | +45min | n=15 | Details | |
| Kansai | 86.7% | +32min | n=45 | Details | |
| Da Nang | 85.7% | +51min | n=21 | Details | |
| Fukuoka | 85.2% | +37min | n=223 | Details | |
| Ted Stevens Anchorage | 83.3% | +85min | n=12 | Details | |
| Dubai | 83.3% | +47min | n=18 | Details | |
| Ben Gurion | 83.3% | +36min | n=6 | Details | |
| Montreal / Pierre Elliott Trudeau | 83.3% | +45min | n=18 | Details | |
| Zürich | 83.3% | +19min | n=6 | Details | |
| Don Mueang | 81.3% | +31min | n=16 | Details | |
| Noi Bai | 80.6% | +29min | n=67 | Details | |
| Chicago O'Hare | 79.4% | +59min | n=34 | Details | |
| Auckland | 77.8% | +49min | n=9 | Details | |
| Brisbane | 77.8% | +33min | n=18 | Details | |
| Boston Logan | 77.8% | +23min | n=18 | Details | |
| Kagoshima | 77.8% | +26min | n=9 | Details | |
| Macau | 77.8% | +217min | n=9 | Details | |
| Vienna | 77.8% | +40min | n=9 | Details | |
| Naha | 77% | +38min | n=122 | Details | |
| Mexico City Benito Juárez | 76.9% | +115min | n=26 | Details | |
| Suvarnabhumi | 75.3% | +32min | n=93 | Details | |
| Singapore Changi | 75.3% | +41min | n=85 | Details | |
| Kaohsiung | 75% | +38min | n=96 | Details | |
| Incheon | 74.9% | +44min | n=447 | Details | |
| Shanghai Pudong | 74.9% | +62min | n=171 | Details | |
| George Bush Intercontinental | 73.7% | +98min | n=19 | Details | |
| Daniel K. Inouye | 72.4% | +30min | n=58 | Details | |
| Takamatsu | 72.2% | +22min | n=18 | Details | |
| Los Angeles | 70.3% | +65min | n=74 | Details | |
| Miyazaki | 66.7% | +17min | n=9 | Details | |
| İstanbul | 63.6% | +27min | n=22 | Details | |
| Zayed | 62.5% | +40min | n=8 | Details | |
| Shenzhen Bao'an | 62.5% | +46min | n=8 | Details | |
| Ulaanbaatar Chinggis Khaan | 61.5% | +34min | n=26 | Details | |
| Clark International Airport / Clark Air Base | 60% | +31min | n=5 | Details | |
| Roman Tmetuchl | 60% | +21min | n=5 | Details | |
| Taiwan Taoyuan | 59.3% | +42min | n=344 | Details | |
| Tan Son Nhat | 58.9% | +42min | n=56 | Details | |
| Seattle–Tacoma | 57.7% | +34min | n=26 | Details | |
| San Francisco | 57.1% | +53min | n=56 | Details | |
| Hong Kong | 56.1% | +56min | n=287 | Details | |
| Xiamen Gaoqi | 55.6% | +74min | n=9 | Details | |
| Toronto Pearson | 55.6% | +100min | n=18 | Details | |
| San Diego | 54.5% | +25min | n=11 | Details | |
| Fuzhou Changle | 46.2% | +78min | n=13 | Details | |
| Bandaranaike International Colombo | 40% | +70min | n=5 | Details | |
| Chhatrapati Shivaji Maharaj | — | Collecting data | +18min | n=4 | Details |
| Tribhuvan | — | Collecting data | +39min | n=4 | Details |
| Adolfo Suárez Madrid–Barajas | — | Collecting data | +106min | n=4 | Details |
| Norman Y. Mineta San Jose | — | Collecting data | +18min | n=4 | Details |
| Kempegowda International Airport Bengaluru | — | Collecting data | +17min | n=3 | Details |
| Hiroshima | — | Collecting data | — | n=3 | Details |
| Nadi | — | Collecting data | — | n=3 | Details |
| Perth | — | Collecting data | +23min | n=3 | Details |
| Port Moresby Jacksons | — | Collecting data | +27min | n=3 | Details |
| Cairo | — | Collecting data | — | n=2 | Details |
| Changchun Longjia | — | Collecting data | — | n=2 | Details |
| Cleveland Hopkins | — | Collecting data | +31min | n=1 | Details |
| Hazrat Shahjalal | — | Collecting data | +91min | n=1 | Details |
| Haikou Meilan | — | Collecting data | — | n=1 | Details |
| Tokyo Haneda | — | Collecting data | +835min | n=1 | Details |
| Minneapolis–Saint Paul International Airport / Wold–Chamberlain Field | — | Collecting data | — | n=1 | Details |
| Tashkent | — | Collecting data | — | n=1 | Details |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule / Faded rows are indicative (n<10); below n=5 no rate is shown
By airline (departures)
| On-time departure | Avg delay when late | n | |||
|---|---|---|---|---|---|
| 3U | 100% | — | n=6 | Details | |
| BI | 100% | — | n=5 | Details | |
| GA | 100% | — | n=9 | Details | |
| HU | 100% | — | n=5 | Details | |
| LH | 100% | — | n=6 | Details | |
| MH | 100% | — | n=25 | Details | |
| SL | 100% | — | n=6 | Details | |
| WS | 100% | — | n=9 | Details | |
| PR | 97.3% | +24min | n=37 | Details | |
| RF | 96.3% | +18min | n=27 | Details | |
| KE | 96.1% | +41min | n=129 | Details | |
| CZ | 95.2% | +30min | n=42 | Details | |
| IJ | 94.3% | +145min | n=87 | Details | |
| QR | 94.1% | +20min | n=34 | Details | |
| AA | 93.8% | +52min | n=16 | Details | |
| LO | 90.9% | +25min | n=11 | Details | |
| AM | 88.9% | +113min | n=9 | Details | |
| HO | 88.9% | +31min | n=9 | Details | |
| AY | 88.2% | +29min | n=17 | Details | |
| KL | 88.2% | +94min | n=17 | Details | |
| CA | 87.7% | +68min | n=57 | Details | |
| MM | 86.9% | +30min | n=367 | Details | |
| TW | 84.4% | +44min | n=77 | Details | |
| ZG | 84.1% | +27min | n=63 | Details | |
| UA | 83.4% | +111min | n=151 | Details | |
| 5Y | 83.3% | +63min | n=18 | Details | |
| EK | 83.3% | +47min | n=18 | Details | |
| JQ | 83.3% | +35min | n=18 | Details | |
| LX | 83.3% | +19min | n=6 | Details | |
| LY | 83.3% | +36min | n=6 | Details | |
| QF | 83.3% | +45min | n=18 | Details | |
| SQ | 83.3% | +45min | n=42 | Details | |
| GK | 83.1% | +45min | n=555 | Details | |
| 5J | 82.8% | +46min | n=29 | Details | |
| NH | 81.9% | +56min | n=287 | Details | |
| BX | 81.5% | +37min | n=27 | Details | |
| XJ | 81.3% | +31min | n=16 | Details | |
| NQ | 80% | +47min | n=50 | Details | |
| TR | 80% | +27min | n=30 | Details | |
| LJ | 79.4% | +39min | n=107 | Details | |
| JL | 78.9% | +28min | n=413 | Details | |
| NX | 77.8% | +217min | n=9 | Details | |
| NZ | 77.8% | +49min | n=9 | Details | |
| OS | 77.8% | +40min | n=9 | Details | |
| AC | 77.4% | +89min | n=53 | Details | |
| TG | 73.8% | +30min | n=42 | Details | |
| OZ | 72.5% | +34min | n=51 | Details | |
| VN | 69.1% | +41min | n=55 | Details | |
| 7C | 68.8% | +39min | n=77 | Details | |
| HX | 68.6% | +77min | n=35 | Details | |
| JX | 67.6% | +30min | n=71 | Details | |
| 9C | 66.7% | +46min | n=9 | Details | |
| YP | 66.7% | +48min | n=12 | Details | |
| TK | 63.6% | +27min | n=22 | Details | |
| EY | 62.5% | +40min | n=8 | Details | |
| ZH | 62.5% | +46min | n=8 | Details | |
| MF | 61.1% | +88min | n=18 | Details | |
| OD | 60% | +89min | n=5 | Details | |
| OM | 58.8% | +39min | n=17 | Details | |
| RS | 55.6% | +51min | n=27 | Details | |
| WE | 55.6% | +46min | n=9 | Details | |
| ZE | 55.6% | +53min | n=27 | Details | |
| UO | 55% | +51min | n=100 | Details | |
| CI | 54.6% | +58min | n=119 | Details | |
| IT | 52% | +30min | n=25 | Details | |
| VJ | 52% | +42min | n=25 | Details | |
| HA | 50% | +35min | n=8 | Details | |
| HB | 50% | +102min | n=18 | Details | |
| MU | 50% | +48min | n=54 | Details | |
| CX | 42.3% | +50min | n=97 | Details | |
| UL | 40% | +70min | n=5 | Details | |
| BR | 37.5% | +31min | n=72 | Details | |
| VZ | 37.5% | +33min | n=8 | Details | |
| ET | 0% | +54min | n=6 | Details | |
| IB | — | Collecting data | +106min | n=4 | Details |
| K6 | — | Collecting data | +56min | n=4 | Details |
| RA | — | Collecting data | +39min | n=4 | Details |
| FD | — | Collecting data | — | n=3 | Details |
| FJ | — | Collecting data | — | n=3 | Details |
| M0 | — | Collecting data | +25min | n=3 | Details |
| PX | — | Collecting data | +27min | n=3 | Details |
| MS | — | Collecting data | — | n=2 | Details |
| BG | — | Collecting data | +91min | n=1 | Details |
| HY | — | Collecting data | — | n=1 | Details |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule / Faded rows are indicative (n<10); below n=5 no rate is shown
By departure time
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| 0:00-3:00 | — | Collecting data | +835min | n=1 |
| 6:00-9:00 | 91.9% | +40min | n=384 | |
| 9:00-12:00 | 83.9% | +47min | n=739 | |
| 12:00-15:00 | 74.8% | +42min | n=706 | |
| 15:00-18:00 | 72.4% | +55min | n=965 | |
| 18:00-21:00 | 70.8% | +43min | n=942 | |
| 21:00-24:00 | 85.9% | +35min | n=262 | |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule
By day of week
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| Mon | 79.1% | +52min | n=635 | |
| Tue | 75.9% | +43min | n=705 | |
| Wed | 74.1% | +46min | n=742 | |
| Thu | 80.2% | +36min | n=434 | |
| Fri | 77.4% | +36min | n=474 | |
| Sat | 79.7% | +51min | n=462 | |
| Sun | 77.1% | +64min | n=547 | |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule
By origin (arrivals)
| On-time departure | Avg delay when late | n | |||
|---|---|---|---|---|---|
| Changchun Longjia | 100% | — | n=5 | Details | |
| Cairns | 100% | — | n=7 | Details | |
| Denpasar I Gusti Ngurah Rai | 100% | +21min | n=6 | Details | |
| Harbin Taiping | 100% | — | n=6 | Details | |
| Melbourne | 100% | +88min | n=8 | Details | |
| Nagasaki | 100% | — | n=8 | Details | |
| Oita | 100% | — | n=8 | Details | |
| San Diego | 100% | +26min | n=9 | Details | |
| Singapore Changi | 100% | +23min | n=37 | Details | |
| Vienna | 100% | +17min | n=7 | Details | |
| Zürich | 100% | +26min | n=5 | Details | |
| Soekarno-Hatta | 97.5% | +59min | n=40 | Details | |
| Ninoy Aquino | 96.1% | +32min | n=77 | Details | |
| Mactan Cebu | 96% | — | n=25 | Details | |
| Matsuyama | 95% | — | n=20 | Details | |
| Antonio B. Won Pat | 94.8% | — | n=58 | Details | |
| Taichung International Airport / Ching Chuang Kang Air Base | 94.1% | — | n=17 | Details | |
| Vancouver | 93.8% | +76min | n=48 | Details | |
| Amsterdam Airport Schiphol | 93.3% | +46min | n=15 | Details | |
| Mexico City Benito Juárez | 93.3% | +67min | n=15 | Details | |
| Montreal / Pierre Elliott Trudeau | 93.3% | +39min | n=15 | Details | |
| Denver | 92.9% | +70min | n=14 | Details | |
| Helsinki Vantaa | 92.9% | +38min | n=14 | Details | |
| New Ishigaki | 92.9% | +83min | n=14 | Details | |
| Gimhae | 91.2% | +26min | n=57 | Details | |
| Daniel K. Inouye | 90.7% | +43min | n=43 | Details | |
| New Chitose | 90.3% | +60min | n=278 | Details | |
| Jeju | 88.9% | +30min | n=9 | Details | |
| Shenyang Taoxian | 88.9% | — | n=9 | Details | |
| Frankfurt Main | 88.2% | +52min | n=17 | Details | |
| Suvarnabhumi | 87.5% | +25min | n=32 | Details | |
| Boston Logan | 87.5% | +42min | n=16 | Details | |
| Guangzhou Baiyun | 87.5% | +30min | n=8 | Details | |
| Auckland | 85.7% | +36min | n=7 | Details | |
| Amami | 85.7% | +98min | n=7 | Details | |
| Brussels | 85.7% | +43min | n=7 | Details | |
| Kochi Ryoma | 85.7% | +28min | n=7 | Details | |
| Calgary | 85.7% | — | n=7 | Details | |
| Dalian Zhoushuizi | 85% | +53min | n=20 | Details | |
| Naha | 84.7% | +25min | n=111 | Details | |
| Brisbane | 84.6% | +34min | n=13 | Details | |
| George Bush Intercontinental | 84.6% | +157min | n=13 | Details | |
| Chubu Centrair | 83.3% | +39min | n=24 | Details | |
| Kaohsiung | 83.1% | +47min | n=71 | Details | |
| Fukuoka | 81.9% | +44min | n=221 | Details | |
| Takamatsu | 81.3% | +29min | n=16 | Details | |
| Beijing Capital | 80% | +40min | n=5 | Details | |
| San Francisco | 79.1% | +43min | n=43 | Details | |
| Los Angeles | 78.7% | +64min | n=47 | Details | |
| Kumamoto | 78.6% | +34min | n=14 | Details | |
| Seattle–Tacoma | 78.3% | +56min | n=23 | Details | |
| Kansai | 77.3% | +55min | n=44 | Details | |
| Noi Bai | 76.1% | +71min | n=46 | Details | |
| Asahikawa | 75% | +42min | n=8 | Details | |
| Miyazaki | 75% | +28min | n=8 | Details | |
| Kagoshima | 75% | +20min | n=8 | Details | |
| Dallas Fort Worth | 73.7% | +316min | n=19 | Details | |
| Kuala Lumpur | 73.5% | +26min | n=49 | Details | |
| Incheon | 71.7% | +36min | n=198 | Details | |
| Chicago O'Hare | 70.3% | +53min | n=37 | Details | |
| Tan Son Nhat | 68.9% | +38min | n=45 | Details | |
| Toronto Pearson | 68.8% | +112min | n=16 | Details | |
| Taiwan Taoyuan | 66.8% | +58min | n=268 | Details | |
| Ulaanbaatar Chinggis Khaan | 66.7% | — | n=9 | Details | |
| Shanghai Pudong | 61.1% | +49min | n=90 | Details | |
| Newark Liberty | 57.1% | +58min | n=14 | Details | |
| Monterrey | 57.1% | +22min | n=7 | Details | |
| Tianjin Binhai | 57.1% | — | n=7 | Details | |
| Da Nang | 56% | +48min | n=25 | Details | |
| Indira Gandhi | 52.9% | +36min | n=17 | Details | |
| Osaka Itami | 50% | +33min | n=16 | Details | |
| Hong Kong | 47.2% | +58min | n=233 | Details | |
| Hamad | 41.9% | +28min | n=31 | Details | |
| Dubai | 29.4% | +79min | n=17 | Details | |
| Zayed | 0% | +102min | n=7 | Details | |
| Cheongju International Airport/Cheongju Air Base (K-59/G-513) | — | Collecting data | — | n=4 | Details |
| Roman Tmetuchl | — | Collecting data | — | n=4 | Details |
| Ben Gurion | — | Collecting data | +38min | n=4 | Details |
| Kempegowda International Airport Bengaluru | — | Collecting data | — | n=3 | Details |
| Chhatrapati Shivaji Maharaj | — | Collecting data | +29min | n=3 | Details |
| Hangzhou Xiaoshan | — | Collecting data | — | n=3 | Details |
| Hiroshima | — | Collecting data | — | n=3 | Details |
| Adolfo Suárez Madrid–Barajas | — | Collecting data | — | n=3 | Details |
| Perth | — | Collecting data | — | n=3 | Details |
| Nadi | — | Collecting data | — | n=2 | Details |
| Cairo | — | Collecting data | — | n=1 | Details |
| Don Mueang | — | Collecting data | — | n=1 | Details |
| Haikou Meilan | — | Collecting data | — | n=1 | Details |
| John F. Kennedy | — | Collecting data | — | n=1 | Details |
| Port Moresby Jacksons | — | Collecting data | — | n=1 | Details |
| Daegu | — | Collecting data | — | n=1 | Details |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule / Faded rows are indicative (n<10); below n=5 no rate is shown
By airline (arrivals)
| On-time departure | Avg delay when late | n | |||
|---|---|---|---|---|---|
| 5J | 100% | +34min | n=11 | Details | |
| BX | 100% | +27min | n=5 | Details | |
| GA | 100% | +21min | n=6 | Details | |
| JQ | 100% | +27min | n=14 | Details | |
| LX | 100% | +26min | n=5 | Details | |
| OS | 100% | +17min | n=7 | Details | |
| TR | 100% | +25min | n=5 | Details | |
| CZ | 94.3% | +21min | n=35 | Details | |
| PR | 93.8% | +26min | n=32 | Details | |
| KL | 93.3% | +46min | n=15 | Details | |
| NQ | 93.3% | +25min | n=30 | Details | |
| AY | 92.9% | +38min | n=14 | Details | |
| MM | 90.1% | +41min | n=354 | Details | |
| UA | 88% | +114min | n=133 | Details | |
| NZ | 85.7% | +36min | n=7 | Details | |
| WS | 85.7% | — | n=7 | Details | |
| NH | 84.6% | +53min | n=266 | Details | |
| AA | 82.4% | +360min | n=17 | Details | |
| JL | 81.8% | +44min | n=373 | Details | |
| KE | 81.8% | +27min | n=121 | Details | |
| QF | 81.8% | +49min | n=11 | Details | |
| GK | 81.5% | +51min | n=481 | Details | |
| AC | 80.9% | +101min | n=47 | Details | |
| YP | 80% | +43min | n=10 | Details | |
| BR | 78.8% | +29min | n=66 | Details | |
| 7C | 76.3% | +34min | n=59 | Details | |
| RS | 76.2% | +35min | n=21 | Details | |
| IJ | 76% | +40min | n=25 | Details | |
| HA | 71.4% | +18min | n=7 | Details | |
| JX | 70.6% | +25min | n=68 | Details | |
| HX | 66.7% | +98min | n=27 | Details | |
| LJ | 63.2% | +32min | n=38 | Details | |
| CI | 61.8% | +101min | n=110 | Details | |
| OZ | 60% | +40min | n=5 | Details | |
| AM | 57.1% | +22min | n=7 | Details | |
| MH | 57.1% | +36min | n=21 | Details | |
| VN | 53.6% | +42min | n=56 | Details | |
| MU | 52.9% | +58min | n=51 | Details | |
| UO | 50.5% | +47min | n=95 | Details | |
| CX | 46% | +46min | n=87 | Details | |
| QR | 41.9% | +28min | n=31 | Details | |
| EK | 29.4% | +79min | n=17 | Details | |
| 5Y | 14.3% | +54min | n=14 | Details | |
| EY | 0% | +102min | n=7 | Details | |
| HU | — | Collecting data | — | n=4 | Details |
| LY | — | Collecting data | +38min | n=4 | Details |
| RF | — | Collecting data | — | n=4 | Details |
| ZG | — | Collecting data | +42min | n=4 | Details |
| ET | — | Collecting data | +43min | n=3 | Details |
| IB | — | Collecting data | — | n=3 | Details |
| SL | — | Collecting data | — | n=3 | Details |
| 9C | — | Collecting data | — | n=2 | Details |
| FJ | — | Collecting data | — | n=2 | Details |
| M0 | — | Collecting data | — | n=2 | Details |
| OM | — | Collecting data | — | n=2 | Details |
| SQ | — | Collecting data | +23min | n=2 | Details |
| TW | — | Collecting data | +32min | n=2 | Details |
| FD | — | Collecting data | — | n=1 | Details |
| LH | — | Collecting data | — | n=1 | Details |
| MS | — | Collecting data | — | n=1 | Details |
| PX | — | Collecting data | — | n=1 | Details |
| XJ | — | Collecting data | — | n=1 | Details |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule / Faded rows are indicative (n<10); below n=5 no rate is shown
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