Kansai Airport On-Time Performance & Delays KIX
On-time departure and arrival rates for this airport, compiled from operational records. Departures and arrivals are counted separately.
Cancellation: 0.5% / Avg delay when late: 46min
Last 28 days ・ 3281 flights
By destination (departures)
| On-time departure | Avg delay when late | n | |||
|---|---|---|---|---|---|
| Zayed | 100% | — | n=5 | Details | |
| Mactan Cebu | 100% | — | n=9 | Details | |
| Jeju | 100% | — | n=17 | Details | |
| Dubai | 100% | — | n=18 | Details | |
| Kushiro | 100% | — | n=5 | Details | |
| Miyako | 100% | — | n=9 | Details | |
| Antonio B. Won Pat | 96.7% | +53min | n=30 | Details | |
| Sendai | 96.2% | +29min | n=26 | Details | |
| Fukuoka | 95.5% | +47min | n=67 | Details | |
| Cheongju International Airport/Cheongju Air Base (K-59/G-513) | 95% | +23min | n=40 | Details | |
| Helsinki Vantaa | 95% | +25min | n=20 | Details | |
| Guangzhou Baiyun | 94.7% | +27min | n=19 | Details | |
| New Ishigaki | 94.3% | +24min | n=35 | Details | |
| İstanbul | 93.8% | +17min | n=16 | Details | |
| Gimhae | 93.1% | +29min | n=145 | Details | |
| Daniel K. Inouye | 92.6% | +35min | n=27 | Details | |
| Shanghai Pudong | 91.6% | +78min | n=167 | Details | |
| Daegu | 90% | +39min | n=30 | Details | |
| New Chitose | 89.7% | +42min | n=195 | Details | |
| Amami | 88.9% | +43min | n=9 | Details | |
| Don Mueang | 88.9% | +19min | n=9 | Details | |
| Nagasaki | 88.9% | +111min | n=9 | Details | |
| Incheon | 88.8% | +43min | n=498 | Details | |
| Noi Bai | 88.2% | +47min | n=34 | Details | |
| Gimpo | 87.7% | +31min | n=154 | Details | |
| Beijing Capital | 87.2% | +46min | n=47 | Details | |
| Ninoy Aquino | 86.5% | +46min | n=52 | Details | |
| Hangzhou Xiaoshan | 85.7% | +37min | n=14 | Details | |
| Naha | 84.4% | +41min | n=186 | Details | |
| Da Nang | 83.3% | +18min | n=12 | Details | |
| San Francisco | 82.4% | +50min | n=17 | Details | |
| Narita | 82.2% | +55min | n=45 | Details | |
| Suvarnabhumi | 81.1% | +38min | n=74 | Details | |
| Brisbane | 80% | +24min | n=5 | Details | |
| Cairns | 80% | +26min | n=5 | Details | |
| Tokyo Haneda | 80% | +46min | n=170 | Details | |
| Shenzhen Bao'an | 80% | +27min | n=5 | Details | |
| Sunan Shuofang | 80% | +56min | n=5 | Details | |
| Vancouver | 80% | +97min | n=5 | Details | |
| Singapore Changi | 79.4% | +35min | n=63 | Details | |
| Miyazaki | 77.8% | +31min | n=9 | Details | |
| Kagoshima | 77.8% | +32min | n=18 | Details | |
| Los Angeles | 77.8% | +29min | n=18 | Details | |
| Jinan Yaoqiang | 77.8% | +24min | n=9 | Details | |
| Kuala Lumpur | 77.3% | +45min | n=22 | Details | |
| Kaohsiung | 73.4% | +28min | n=94 | Details | |
| Tan Son Nhat | 73.1% | +51min | n=26 | Details | |
| Hong Kong | 67.7% | +68min | n=232 | Details | |
| Macau | 66.7% | +169min | n=9 | Details | |
| Qingdao Jiaodong | 66.7% | +150min | n=12 | Details | |
| Taiwan Taoyuan | 65.7% | +35min | n=265 | Details | |
| Toronto Pearson | 62.5% | +75min | n=8 | Details | |
| Charles de Gaulle | 60% | +43min | n=10 | Details | |
| Munich | 50% | +31min | n=12 | Details | |
| Hamad | 16.7% | +53min | n=6 | Details | |
| Amsterdam Airport Schiphol | — | Collecting data | +65min | n=4 | Details |
| Dalian Zhoushuizi | — | Collecting data | +57min | n=4 | Details |
| Memanbetsu | — | Collecting data | — | n=4 | Details |
| Sydney Kingsford Smith | — | Collecting data | — | n=4 | Details |
| Chiang Mai | — | Collecting data | — | n=3 | Details |
| Al Maktoum | — | Collecting data | +53min | n=2 | Details |
| Nanjing Lukou | — | Collecting data | — | n=2 | Details |
| Tianjin Binhai | — | Collecting data | +98min | n=2 | Details |
| Tashkent | — | Collecting data | — | n=1 | Details |
| Ulaanbaatar Chinggis Khaan | — | Collecting data | +58min | 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 | |||
|---|---|---|---|---|---|
| EY | 100% | — | n=5 | Details | |
| HU | 100% | — | n=6 | Details | |
| WE | 100% | — | n=9 | Details | |
| RF | 97.6% | +17min | n=41 | Details | |
| PR | 96.6% | +111min | n=29 | Details | |
| AY | 95% | +25min | n=20 | Details | |
| EK | 95% | +53min | n=20 | Details | |
| HO | 95% | +22min | n=20 | Details | |
| CZ | 94.4% | +27min | n=18 | Details | |
| MU | 94.1% | +28min | n=51 | Details | |
| TK | 94.1% | +17min | n=17 | Details | |
| BX | 94% | +51min | n=50 | Details | |
| KE | 93.1% | +22min | n=102 | Details | |
| AK | 92.3% | +18min | n=13 | Details | |
| MH | 92.3% | +23min | n=13 | Details | |
| TW | 92% | +38min | n=174 | Details | |
| LJ | 90.6% | +41min | n=128 | Details | |
| JL | 90.4% | +40min | n=239 | Details | |
| CA | 90.3% | +39min | n=62 | Details | |
| VN | 89.1% | +30min | n=46 | Details | |
| OZ | 89% | +26min | n=100 | Details | |
| HA | 88.9% | +52min | n=9 | Details | |
| XJ | 88.9% | +19min | n=9 | Details | |
| SQ | 88.2% | +29min | n=34 | Details | |
| UA | 88.2% | +51min | n=34 | Details | |
| 9C | 87.1% | +89min | n=31 | Details | |
| 7C | 86.9% | +38min | n=99 | Details | |
| 5J | 85.7% | +52min | n=14 | Details | |
| JQ | 85.7% | +25min | n=14 | Details | |
| GK | 85.5% | +33min | n=131 | Details | |
| MM | 84.9% | +48min | n=671 | Details | |
| JX | 82.9% | +32min | n=35 | Details | |
| RS | 82.1% | +58min | n=28 | Details | |
| ZE | 80.6% | +40min | n=36 | Details | |
| SL | 80% | +29min | n=5 | Details | |
| ZH | 80% | +42min | n=10 | Details | |
| NH | 79.6% | +43min | n=98 | Details | |
| TG | 79.4% | +31min | n=34 | Details | |
| D7 | 78.6% | +34min | n=14 | Details | |
| FM | 77.8% | +179min | n=9 | Details | |
| TR | 76.9% | +24min | n=13 | Details | |
| CX | 76% | +47min | n=96 | Details | |
| SC | 75% | +90min | n=20 | Details | |
| 7G | 71.4% | +51min | n=35 | Details | |
| CI | 71.3% | +31min | n=80 | Details | |
| HX | 69.4% | +78min | n=36 | Details | |
| AC | 69.2% | +81min | n=13 | Details | |
| VJ | 69.2% | +54min | n=26 | Details | |
| NX | 66.7% | +169min | n=9 | Details | |
| AF | 60% | +43min | n=10 | Details | |
| VZ | 58.8% | +37min | n=17 | Details | |
| HB | 58.3% | +243min | n=12 | Details | |
| UO | 56% | +51min | n=84 | Details | |
| BR | 51.2% | +29min | n=82 | Details | |
| IT | 50% | +29min | n=30 | Details | |
| LH | 50% | +31min | n=12 | Details | |
| QR | 16.7% | +53min | n=6 | Details | |
| KL | — | Collecting data | +65min | n=4 | Details |
| OD | — | Collecting data | +101min | n=4 | Details |
| GJ | — | Collecting data | — | n=2 | Details |
| GS | — | Collecting data | +98min | n=2 | Details |
| AQ | — | Collecting data | — | n=1 | Details |
| JD | — | Collecting data | — | n=1 | Details |
| OM | — | Collecting data | +58min | n=1 | Details |
| QW | — | Collecting data | +195min | 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 | 96.8% | +23min | n=63 | |
| 6:00-9:00 | 93.9% | +44min | n=278 | |
| 9:00-12:00 | 85.4% | +36min | n=795 | |
| 12:00-15:00 | 79.4% | +51min | n=606 | |
| 15:00-18:00 | 80.4% | +56min | n=520 | |
| 18:00-21:00 | 80.1% | +48min | n=577 | |
| 21:00-24:00 | 85.6% | +33min | n=236 | |
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 | 86.4% | +33min | n=485 | |
| Tue | 77.2% | +45min | n=548 | |
| Wed | 83.8% | +45min | n=582 | |
| Thu | 87.1% | +44min | n=341 | |
| Fri | 82.3% | +44min | n=367 | |
| Sat | 85.1% | +38min | n=356 | |
| Sun | 83.8% | +74min | n=396 | |
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 | |||
|---|---|---|---|---|---|
| Mactan Cebu | 100% | — | n=7 | Details | |
| Don Mueang | 100% | — | n=7 | Details | |
| Antonio B. Won Pat | 100% | +40min | n=27 | Details | |
| New Ishigaki | 100% | — | n=30 | Details | |
| Kushiro | 100% | — | n=5 | Details | |
| Munich | 100% | — | n=5 | Details | |
| San Francisco | 100% | +42min | n=15 | Details | |
| Vancouver | 100% | — | n=9 | Details | |
| Gimhae | 96.8% | +24min | n=125 | Details | |
| Kaohsiung | 96.3% | +22min | n=81 | Details | |
| Narita | 95.6% | +32min | n=45 | Details | |
| Singapore Changi | 94.1% | +28min | n=51 | Details | |
| Kagoshima | 93.8% | +20min | n=16 | Details | |
| Daegu | 92.6% | — | n=27 | Details | |
| Fukuoka | 92.5% | +52min | n=67 | Details | |
| İstanbul | 91.7% | — | n=12 | Details | |
| Cheongju International Airport/Cheongju Air Base (K-59/G-513) | 90.9% | — | n=33 | Details | |
| Sendai | 90.9% | +29min | n=22 | Details | |
| Ninoy Aquino | 89.6% | +46min | n=48 | Details | |
| Amami | 87.5% | +16min | n=8 | Details | |
| Gimpo | 87.1% | +34min | n=139 | Details | |
| Naha | 86.8% | +44min | n=174 | Details | |
| Miyako | 85.7% | +37min | n=7 | Details | |
| Nagasaki | 85.7% | +103min | n=7 | Details | |
| Jinan Yaoqiang | 85.7% | — | n=7 | Details | |
| Incheon | 85.5% | +39min | n=442 | Details | |
| Beijing Capital | 85.4% | +35min | n=41 | Details | |
| Hangzhou Xiaoshan | 84.6% | — | n=13 | Details | |
| New Chitose | 84.1% | +38min | n=195 | Details | |
| Los Angeles | 82.4% | +101min | n=17 | Details | |
| Tokyo Haneda | 81.4% | +50min | n=167 | Details | |
| Shanghai Pudong | 80.3% | +59min | n=147 | Details | |
| Shenzhen Bao'an | 80% | — | n=5 | Details | |
| Taiwan Taoyuan | 79.3% | +34min | n=237 | Details | |
| Daniel K. Inouye | 78.3% | +34min | n=23 | Details | |
| Charles de Gaulle | 77.8% | +44min | n=9 | Details | |
| Helsinki Vantaa | 75% | +39min | n=20 | Details | |
| Miyazaki | 75% | +20min | n=8 | Details | |
| Noi Bai | 72.4% | +55min | n=29 | Details | |
| Guangzhou Baiyun | 72.2% | +55min | n=18 | Details | |
| Macau | 71.4% | — | n=7 | Details | |
| Tan Son Nhat | 69.6% | +52min | n=23 | Details | |
| Jeju | 68.8% | +43min | n=16 | Details | |
| Hong Kong | 60.9% | +75min | n=197 | Details | |
| Qingdao Jiaodong | 60% | — | n=10 | Details | |
| Hamad | 54.5% | +29min | n=11 | Details | |
| Suvarnabhumi | 42.6% | +33min | n=68 | Details | |
| Kuala Lumpur | 38.5% | — | n=13 | Details | |
| Dubai | 25% | +77min | n=16 | Details | |
| Da Nang | 18.2% | +47min | n=11 | Details | |
| Zayed | — | Collecting data | +81min | n=4 | Details |
| Brisbane | — | Collecting data | — | n=4 | Details |
| Cairns | — | Collecting data | — | n=4 | Details |
| Al Maktoum | — | Collecting data | — | n=4 | Details |
| Memanbetsu | — | Collecting data | +31min | n=4 | Details |
| Sunan Shuofang | — | Collecting data | — | n=4 | Details |
| Amsterdam Airport Schiphol | — | Collecting data | — | n=3 | Details |
| Chiang Mai | — | Collecting data | — | n=3 | Details |
| Sydney Kingsford Smith | — | Collecting data | +50min | n=3 | Details |
| Toronto Pearson | — | Collecting data | — | n=3 | Details |
| Dalian Zhoushuizi | — | Collecting data | — | n=2 | Details |
| Nanjing Lukou | — | Collecting data | — | n=2 | Details |
| Tianjin Binhai | — | Collecting data | +107min | n=1 | Details |
| Ulaanbaatar Chinggis Khaan | — | 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 | |||
|---|---|---|---|---|---|
| AC | 100% | — | n=12 | Details | |
| AK | 100% | +22min | n=13 | Details | |
| HU | 100% | — | n=5 | Details | |
| LH | 100% | — | n=5 | Details | |
| TR | 100% | — | n=5 | Details | |
| UA | 100% | +41min | n=31 | Details | |
| XJ | 100% | — | n=7 | Details | |
| SQ | 96.8% | +25min | n=31 | Details | |
| PR | 96.4% | +87min | n=28 | Details | |
| 7C | 94.8% | +27min | n=77 | Details | |
| RF | 93.8% | — | n=32 | Details | |
| GK | 91.9% | +33min | n=124 | Details | |
| TK | 91.7% | — | n=12 | Details | |
| JQ | 90.9% | +50min | n=11 | Details | |
| KE | 90.6% | +21min | n=96 | Details | |
| 7G | 90.3% | +30min | n=31 | Details | |
| BX | 90% | +58min | n=40 | Details | |
| TW | 90% | +43min | n=160 | Details | |
| JX | 87.9% | +17min | n=33 | Details | |
| IT | 87% | +31min | n=23 | Details | |
| MM | 86.6% | +41min | n=635 | Details | |
| ZE | 85.7% | +32min | n=28 | Details | |
| LJ | 85.6% | +34min | n=118 | Details | |
| HX | 84% | +44min | n=25 | Details | |
| CA | 83.9% | +39min | n=56 | Details | |
| 9C | 82.6% | — | n=23 | Details | |
| BR | 82.4% | +32min | n=74 | Details | |
| HO | 81.3% | — | n=16 | Details | |
| MU | 81.3% | +57min | n=48 | Details | |
| OZ | 81.3% | +30min | n=91 | Details | |
| JL | 80.2% | +36min | n=227 | Details | |
| CI | 79.2% | +49min | n=72 | Details | |
| AF | 77.8% | +44min | n=9 | Details | |
| ZH | 77.8% | — | n=9 | Details | |
| RS | 77.3% | +51min | n=22 | Details | |
| NH | 76% | +59min | n=96 | Details | |
| AY | 75% | +39min | n=20 | Details | |
| SC | 75% | — | n=16 | Details | |
| D7 | 72.7% | — | n=11 | Details | |
| HA | 71.4% | +32min | n=7 | Details | |
| NX | 71.4% | — | n=7 | Details | |
| CZ | 70.6% | +55min | n=17 | Details | |
| 5J | 70% | +41min | n=10 | Details | |
| VN | 69.8% | +47min | n=43 | Details | |
| HB | 62.5% | +394min | n=8 | Details | |
| FM | 57.1% | — | n=7 | Details | |
| WE | 57.1% | — | n=7 | Details | |
| CX | 55.2% | +64min | n=87 | Details | |
| TG | 54.8% | +30min | n=31 | Details | |
| QR | 54.5% | +29min | n=11 | Details | |
| UO | 54.1% | +55min | n=74 | Details | |
| MH | 50% | — | n=6 | Details | |
| VZ | 45.5% | +46min | n=11 | Details | |
| VJ | 45% | +59min | n=20 | Details | |
| EK | 40% | +77min | n=20 | Details | |
| EY | — | Collecting data | +81min | n=4 | Details |
| SL | — | Collecting data | — | n=4 | Details |
| KL | — | Collecting data | — | n=3 | Details |
| OD | — | Collecting data | — | n=3 | Details |
| GJ | — | Collecting data | — | n=2 | Details |
| AQ | — | Collecting data | — | n=1 | Details |
| GS | — | Collecting data | +107min | n=1 | Details |
| JD | — | Collecting data | — | n=1 | Details |
| OM | — | Collecting data | — | n=1 | Details |
| QW | — | 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
Keeping a log of your flights?
A flight number and a date are all it takes. Your log fills itself in once you land, and every mile turns into a map and a number. Free to start.
Start logging — freeUpdated: / Last 28 days
Flight data powered by FlightAware