Narita Airport On-Time Performance & Delays NRT
On-time departure and arrival rates for this airport, compiled from operational records. The breakdowns below cover flights departing this airport.
Cancellation: 1% / Avg delay when late: 48min
Last 28 days ・ 8357 flights ・ Includes estimates 534 estimated
Some airlines do not publish gate departure/arrival times. For those flights we estimate the gate times from the takeoff/landing record and the airport's measured taxi times (validated at 3.5 min mean error, 94.4% agreement on the on-time call). Without the estimate, those airlines' flights would drop out of the sample entirely and cross-airline comparison would break.
Daily · Last 30 days
On-time departureOn timeDelayed
50%70%90%0500
84.1%55%70.5%2026-09-06312 flights ・ Avg delay when late +34minOn time 220 ・ Delayed 9272.6%2026-09-07303 flights ・ Avg delay when late +37minOn time 220 ・ Delayed 8383.1%2026-09-08295 flights ・ Avg delay when late +49minOn time 245 ・ Delayed 5055%2026-09-09300 flights ・ Avg delay when late +52minOn time 165 ・ Delayed 13586.8%2026-09-10296 flights ・ Avg delay when late +40minOn time 257 ・ Delayed 3981.2%2026-09-11314 flights ・ Avg delay when late +33minOn time 255 ・ Delayed 5983.6%2026-09-12304 flights ・ Avg delay when late +45minOn time 254 ・ Delayed 5081%2026-09-13315 flights ・ Avg delay when late +49minOn time 255 ・ Delayed 6081.8%2026-09-14302 flights ・ Avg delay when late +53minOn time 247 ・ Delayed 5582.8%2026-09-15297 flights ・ Avg delay when late +34minOn time 246 ・ Delayed 5181.7%2026-09-16306 flights ・ Avg delay when late +40minOn time 250 ・ Delayed 5686.6%2026-09-17299 flights ・ Avg delay when late +47minOn time 259 ・ Delayed 4084.5%2026-09-18322 flights ・ Avg delay when late +33minOn time 272 ・ Delayed 5083.9%2026-09-19317 flights ・ Avg delay when late +38minOn time 266 ・ Delayed 5178.6%2026-09-20322 flights ・ Avg delay when late +37minOn time 253 ・ Delayed 6965.4%2026-09-21208 flights ・ Avg delay when late +141minOn time 136 ・ Delayed 7260.3%2026-09-22317 flights ・ Avg delay when late +54minOn time 191 ・ Delayed 12675.9%2026-09-23319 flights ・ Avg delay when late +45minOn time 242 ・ Delayed 7788.5%2026-09-24305 flights ・ Avg delay when late +40minOn time 270 ・ Delayed 3589.4%2026-09-25321 flights ・ Avg delay when late +41minOn time 287 ・ Delayed 3483.8%2026-09-26320 flights ・ Avg delay when late +41minOn time 268 ・ Delayed 5273%2026-09-27319 flights ・ Avg delay when late +44minOn time 233 ・ Delayed 8665.5%2026-09-28313 flights ・ Avg delay when late +46minOn time 205 ・ Delayed 10876%2026-09-29304 flights ・ Avg delay when late +52minOn time 231 ・ Delayed 7382.6%2026-09-30304 flights ・ Avg delay when late +51minOn time 251 ・ Delayed 5382.4%2026-10-01301 flights ・ Avg delay when late +31minOn time 248 ・ Delayed 5381.7%2026-10-02323 flights ・ Avg delay when late +46minOn time 264 ・ Delayed 5982.7%2026-10-03313 flights ・ Avg delay when late +44minOn time 259 ・ Delayed 5487.3%2026-10-04 (Provisional)300 flights ・ Avg delay when late +39minOn time 262 ・ Delayed 3884.1%2026-10-05 (Provisional)296 flights ・ Avg delay when late +42minOn time 249 ・ Delayed 47
Sep 6Sep 12Sep 18Sep 24Oct 5
Line = on-time departure rate (left axis); bars = flights operated (right axis), stacked as on-time and delayed. Hover (or tap) a point for the breakdown and the average delay of delayed flights. The green band marks 90% on-time departures and above. Dashed segments and pale bars are provisional, before the actuals are final.
Weekly · Last 12 weeks (from Monday)
On-time departureOn timeDelayed
60%70%80%90%02500
84.1%64.8%78.2%Week of 2026-07-201869 flights ・ Avg delay when late +47minOn time 1461 ・ Delayed 40874.6%Week of 2026-07-272051 flights ・ Avg delay when late +43minOn time 1531 ・ Delayed 52074.6%Week of 2026-08-032146 flights ・ Avg delay when late +45minOn time 1600 ・ Delayed 54664.8%Week of 2026-08-102170 flights ・ Avg delay when late +49minOn time 1407 ・ Delayed 76376.6%Week of 2026-08-172172 flights ・ Avg delay when late +47minOn time 1663 ・ Delayed 50975.1%Week of 2026-08-242159 flights ・ Avg delay when late +44minOn time 1622 ・ Delayed 53777.5%Week of 2026-08-312139 flights ・ Avg delay when late +41minOn time 1658 ・ Delayed 48177.6%Week of 2026-09-072127 flights ・ Avg delay when late +45minOn time 1651 ・ Delayed 47682.8%Week of 2026-09-142165 flights ・ Avg delay when late +40minOn time 1793 ・ Delayed 37277.1%Week of 2026-09-212109 flights ・ Avg delay when late +61minOn time 1627 ・ Delayed 48279.7%Week of 2026-09-28 (Provisional)2158 flights ・ Avg delay when late +45minOn time 1720 ・ Delayed 43884.1%Week of 2026-10-05 (Provisional)296 flights ・ Avg delay when late +42minOn time 249 ・ Delayed 47
Jul 20Aug 10Aug 31Oct 5
Line = on-time departure rate (left axis); bars = flights operated (right axis), stacked as on-time and delayed. Hover (or tap) a point for the breakdown and the average delay of delayed flights. The green band marks 90% on-time departures and above. Dashed segments and pale bars are provisional, before the actuals are final.
Monthly · Last 12 months
On-time departureOn timeDelayed
70%80%90%010000
83.6%73.4%75.7%2026-072869 flights ・ Avg delay when late +45minOn time 2171 ・ Delayed 69873.4%2026-089577 flights ・ Avg delay when late +47minOn time 7027 ・ Delayed 255078.2%2026-099156 flights ・ Avg delay when late +47minOn time 7161 ・ Delayed 199583.6%2026-10 (Provisional)1533 flights ・ Avg delay when late +41minOn time 1282 ・ Delayed 251
JulAugSepOct
Line = on-time departure rate (left axis); bars = flights operated (right axis), stacked as on-time and delayed. Hover (or tap) a point for the breakdown and the average delay of delayed flights. The green band marks 90% on-time departures and above. Dashed segments and pale bars are provisional, before the actuals are final.
“Provisional” values are preliminary. The last 2 days are still being corrected, so they may change slightly.
By departure time
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| 3:00-6:00 | — | Collecting data | — | n=1 |
| 6:00-9:00 | 85.3% | +37min | n=880 | |
| 9:00-12:00 | 84.5% | +50min | n=1657 | |
| 12:00-15:00 | 79.1% | +43min | n=1394 | |
| 15:00-18:00 | 74.7% | +46min | n=1918 | |
| 18:00-21:00 | 75.2% | +54min | n=1842 | |
| 21:00-24:00 | 88.7% | +62min | n=583 | |
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 | 75% | +71min | n=1136 | |
| Tue | 72.7% | +49min | n=916 | |
| Wed | 73.8% | +48min | n=1227 | |
| Thu | 86.1% | +39min | n=1199 | |
| Fri | 84.2% | +38min | n=1278 | |
| Sat | 83.5% | +42min | n=1251 | |
| Sun | 79.9% | +43min | n=1268 | |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule
By airline (Japanese airlines)
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| Spring Airlines Japan | 88.8% | +57min | n=278 | |
| Peach Aviation | 84% | +33min | n=681 | |
| All Nippon Airways | 82.5% | +48min | n=441 | |
| Air Japan | 77.5% | +47min | n=160 | |
| Viva Macau | 72.7% | +69min | n=205 | |
| Jetstar Japan | 72.4% | +42min | n=1029 | |
| Japan Airlines | 71.5% | +56min | n=783 | |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule
By airline (Overseas airlines)
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| Sun D'Or | 100% | — | n=7 | |
| Royal Brunei Airlines | 100% | — | n=16 | |
| City Airline | 100% | — | n=8 | |
| Lufthansa | 100% | — | n=16 | |
| Egyptair | 100% | — | n=8 | |
| Air Tahiti Nui | 100% | — | n=8 | |
| Aero K | 98.7% | +37min | n=76 | |
| Qatar Airways | 98.3% | +35min | n=60 | |
| Air Antilles Express | 97.1% | — | n=35 | |
| China Southern Airlines | 95.8% | +71min | n=71 | |
| Austrian Airlines | 95.7% | +20min | n=23 | |
| Malaysia Airlines | 94.4% | +75min | n=54 | |
| Tway Airlines | 93.7% | +29min | n=222 | |
| Korean Air | 93% | +57min | n=242 | |
| Finnair | 92.6% | +22min | n=27 | |
| Juneyao Airlines | 92.6% | +32min | n=27 | |
| Sichuan Airlines | 91.7% | +20min | n=24 | |
| Air Premia | 90.7% | +30min | n=43 | |
| Philippine Airlines | 90.1% | +65min | n=71 | |
| Thai AirAsia | 90% | +95min | n=10 | |
| Thai Smile Airways | 89.4% | +27min | n=47 | |
| Etihad Airways | 88.9% | +141min | n=27 | |
| Spring Airlines | 88.5% | +38min | n=26 | |
| WestJet | 88% | +46min | n=25 | |
| Eastar Jet | 88% | +35min | n=133 | |
| KLM Royal Dutch Airlines | 87.9% | +101min | n=33 | |
| Air China | 87.8% | +24min | n=82 | |
| Vietnam Airlines | 87.8% | +31min | n=98 | |
| United Airlines | 87.4% | +105min | n=270 | |
| Emirates | 87.1% | +329min | n=31 | |
| Jetstar Airways | 86.5% | +36min | n=52 | |
| Garuda Indonesia | 86.2% | +34min | n=29 | |
| Air Busan | 85.9% | +29min | n=85 | |
| Uzbekistan Airways | 85.7% | +79min | n=7 | |
| MIAT Mongolian Airlines | 85.2% | +38min | n=27 | |
| Jeju Air | 84.6% | +35min | n=241 | |
| Jin Air | 84.3% | +33min | n=159 | |
| Air Macau | 84.2% | +33min | n=19 | |
| Hong Kong Express Airways | 83.9% | +45min | n=143 | |
| Qantas | 83.3% | +60min | n=54 | |
| Asiana Airlines | 82.7% | +40min | n=81 | |
| Scoot | 82.2% | +92min | n=73 | |
| Starlux Airlines | 81.5% | +37min | n=108 | |
| Air New Zealand | 81.3% | +23min | n=32 | |
| Air Canada | 80.8% | +43min | n=78 | |
| LOT Polish Airlines | 80.5% | +30min | n=41 | |
| Singapore Airlines | 80.2% | +34min | n=81 | |
| Xiamen Airlines | 79.6% | +59min | n=54 | |
| Thai Lion Air | 78.9% | +26min | n=19 | |
| Hong Kong Airlines | 78.1% | +54min | n=105 | |
| American Airlines | 77.8% | +44min | n=27 | |
| AeroMéxico | 77.8% | +41min | n=27 | |
| Hainan Airlines | 76.9% | +60min | n=13 | |
| Air Seoul | 75.9% | +103min | n=79 | |
| Thai AirAsia X | 75.9% | +73min | n=54 | |
| Cebu Pacific | 75.3% | +38min | n=77 | |
| Fiji Airways | 75% | +39min | n=8 | |
| Turkish Airlines | 74.4% | +30min | n=39 | |
| Cathay Pacific | 71.7% | +43min | n=180 | |
| China Airlines | 70.6% | +40min | n=180 | |
| China Eastern Airlines | 70.3% | +40min | n=91 | |
| VietJet Air | 70% | +34min | n=70 | |
| Ethiopian Airlines | 66.7% | +42min | n=24 | |
| Iberia Airlines | 66.7% | +34min | n=15 | |
| Shenzhen Airlines | 65.4% | +63min | n=26 | |
| Thai Airways International | 64.8% | +99min | n=71 | |
| KD Avia | 64.3% | — | n=14 | |
| El Al Israel Airlines | 64.3% | +42min | n=14 | |
| EVA Air | 61.1% | +31min | n=108 | |
| Swiss International Air Lines | 57.9% | +27min | n=19 | |
| Air Niugini | 57.1% | +50min | n=7 | |
| Greater Bay Airlines | 56.4% | +48min | n=39 | |
| Tigerair Taiwan | 56.3% | +35min | n=80 | |
| Batik Air Malaysia | 56.3% | +104min | n=16 | |
| Alaska Airlines | 53.8% | +44min | n=26 | |
| Thai Vietjet Air | 50% | +28min | n=30 | |
| SriLankan Airlines | 40% | +34min | n=15 | |
| Aero Mongolia | 33.3% | +31min | n=9 | |
| Nepal Airlines | 30% | +65min | n=10 | |
| Cambodia Angkor Air (K6) | 0% | +52min | n=12 | |
| Biman Bangladesh Airlines | — | Collecting data | +16min | n=4 |
| Air Atlanta Icelandic | — | Collecting data | — | n=3 |
| Fly 6ix | — | Collecting data | — | n=1 |
| Ansett Australia | — | Collecting data | — | n=1 |
| Itek Air | — | Collecting data | — | n=1 |
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 destination (Domestic)
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| New Ishigaki | 96.2% | +18min | n=52 | |
| Hakodate | 92.6% | +17min | n=27 | |
| Oita | 92.6% | +25min | n=27 | |
| Chubu Centrair | 91.8% | +26min | n=98 | |
| Kitakyushu | 91.1% | — | n=45 | |
| Asahikawa | 88.9% | +29min | n=27 | |
| Amami | 88.9% | +30min | n=27 | |
| Nagasaki | 88% | +28min | n=25 | |
| Kochi Ryoma | 85.2% | +38min | n=27 | |
| Hiroshima | 84.2% | +40min | n=19 | |
| New Chitose | 82.1% | +33min | n=504 | |
| Osaka Itami | 81.1% | +36min | n=53 | |
| Fukuoka | 78.6% | +44min | n=337 | |
| Kumamoto | 75.5% | +47min | n=53 | |
| Matsuyama | 74.2% | +56min | n=66 | |
| Kansai | 74.1% | +42min | n=147 | |
| Naha | 69.4% | +37min | n=209 | |
| Takamatsu | 64.7% | +43min | n=51 | |
| Miyazaki | 63% | +34min | n=27 | |
| Kagoshima | 40.7% | +27min | n=27 | |
| Tokyo Haneda | — | Collecting data | — | n=2 |
Avg delay when late counts only flights that departed more than 15 minutes behind schedule
By destination (International)
| On-time departure | Avg delay when late | n | ||
|---|---|---|---|---|
| Chhatrapati Shivaji Maharaj | 100% | — | n=27 | |
| Brunei | 100% | — | n=16 | |
| Cairo | 100% | — | n=8 | |
| Changchun Longjia | 100% | — | n=8 | |
| Hangzhou Xiaoshan | 100% | — | n=26 | |
| Perth | 100% | — | n=12 | |
| Fa'a'ā | 100% | — | n=8 | |
| Shenyang Taoxian | 100% | — | n=16 | |
| Daegu | 100% | — | n=38 | |
| Cheongju | 98.7% | +37min | n=76 | |
| Hamad | 98.1% | +35min | n=54 | |
| Dalian Zhoushuizi | 97.4% | +21min | n=39 | |
| Frankfurt Main | 96.3% | +26min | n=27 | |
| Dubai | 96.2% | +638min | n=26 | |
| Taichung | 96.2% | +46min | n=26 | |
| Antonio B. Won Pat | 95.9% | +153min | n=97 | |
| Vienna | 95.7% | +20min | n=23 | |
| Chengdu Tianfu | 94.7% | +20min | n=19 | |
| Harbin Taiping | 94.3% | +224min | n=35 | |
| George Bush Intercontinental | 92.7% | +27min | n=41 | |
| Helsinki Vantaa | 92.6% | +22min | n=27 | |
| Brisbane | 92.2% | +52min | n=51 | |
| Cincinnati Northern Kentucky | 91.7% | — | n=12 | |
| Tianjin Binhai | 90.6% | +38min | n=53 | |
| Saipan | 90% | +27min | n=10 | |
| Beijing Capital | 89.2% | +26min | n=37 | |
| Da Nang | 88.6% | +33min | n=44 | |
| Zayed | 88.5% | +141min | n=26 | |
| Calgary | 88% | +46min | n=25 | |
| Amsterdam | 87.9% | +101min | n=33 | |
| Guangzhou Baiyun | 87.5% | +34min | n=16 | |
| Roman Tmetuchl | 87.5% | +18min | n=8 | |
| Incheon | 87% | +51min | n=1163 | |
| Gimhae | 86.1% | +24min | n=216 | |
| Noi Bai | 85.9% | +37min | n=128 | |
| Tashkent | 85.7% | +79min | n=7 | |
| Cairns | 85.2% | +38min | n=27 | |
| Indira Gandhi | 84.6% | +26min | n=26 | |
| Denpasar I Gusti Ngurah Rai | 84.6% | +34min | n=26 | |
| Macau | 84.2% | +33min | n=19 | |
| Denver | 84% | +103min | n=25 | |
| Newark Liberty | 84% | +161min | n=25 | |
| Shanghai Pudong | 83.5% | +43min | n=291 | |
| Brussels | 83.3% | +34min | n=12 | |
| Mactan Cebu | 82.6% | +37min | n=86 | |
| Auckland | 81.3% | +23min | n=32 | |
| Kaohsiung | 81.2% | +35min | n=170 | |
| Toronto Pearson | 80.8% | +46min | n=26 | |
| Warsaw Chopin | 80.5% | +30min | n=41 | |
| Chongqing Jiangbei | 80% | +28min | n=15 | |
| NRT-NRT | 80% | +25min | n=5 | |
| Nantong Xingdong | 80% | — | n=5 | |
| Kuala Lumpur | 79% | +55min | n=124 | |
| Hong Kong | 78.7% | +43min | n=544 | |
| Dallas Fort Worth | 77.8% | +44min | n=27 | |
| Mexico City Benito Juárez | 77.8% | +46min | n=54 | |
| Xiamen Gaoqi | 77.8% | +64min | n=27 | |
| Vancouver | 76.1% | +29min | n=71 | |
| Don Mueang | 75.9% | +73min | n=54 | |
| Singapore Changi | 75.8% | +66min | n=178 | |
| Jeju | 75% | +86min | n=16 | |
| Ninoy Aquino | 75% | +40min | n=144 | |
| Nadi | 75% | +39min | n=8 | |
| İstanbul | 74.4% | +30min | n=39 | |
| Montreal / Pierre Elliott Trudeau | 73.1% | +47min | n=26 | |
| Los Angeles | 72.4% | +55min | n=156 | |
| Melbourne | 71.1% | +48min | n=38 | |
| Chicago O'Hare | 70.4% | +49min | n=54 | |
| Ulaanbaatar Chinggis Khaan | 70.2% | +58min | n=47 | |
| Daniel K. Inouye | 70.1% | +50min | n=77 | |
| Soekarno-Hatta | 69.9% | +78min | n=73 | |
| Suvarnabhumi | 68.7% | +81min | n=198 | |
| Taiwan Taoyuan | 68% | +47min | n=631 | |
| Kempegowda | 66.7% | +32min | n=27 | |
| Clark | 66.7% | +36min | n=12 | |
| Adolfo Suárez Madrid–Barajas | 66.7% | +34min | n=15 | |
| Tan Son Nhat | 66.7% | +38min | n=108 | |
| Shenzhen Bao'an | 65.4% | +63min | n=26 | |
| Ben Gurion | 64.3% | +42min | n=14 | |
| San Francisco | 60.7% | +52min | n=107 | |
| Zürich | 57.9% | +27min | n=19 | |
| San Diego | 57.7% | +33min | n=26 | |
| Port Moresby Jacksons | 57.1% | +50min | n=7 | |
| Fuzhou Changle | 56.4% | +52min | n=39 | |
| Seattle–Tacoma | 51.9% | +41min | n=52 | |
| Ted Stevens Anchorage | 40% | — | n=5 | |
| Bandaranaike International Colombo | 40% | +34min | n=15 | |
| Al Maktoum | 40% | +226min | n=5 | |
| Boston Logan | 33.3% | +113min | n=27 | |
| Tribhuvan | 30% | +65min | n=10 | |
| Hazrat Shahjalal | — | Collecting data | +16min | n=4 |
| Heydar Aliyev | — | Collecting data | — | n=3 |
| Lombok | — | Collecting data | — | n=3 |
| Haikou Meilan | — | Collecting data | +139min | n=2 |
| Gimpo | — | Collecting data | — | n=1 |
| Ningbo Lishe | — | Collecting data | — | n=1 |
| Sydney Kingsford Smith | — | Collecting data | — | n=1 |
| Tainan | — | Collecting data | — | n=1 |
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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