AviationStatistics

🛩️📊 🌎 —Daily Aviation Statistics— 🌍 📊🛩️ Processed daily: +350k flights 🚀 | +60k flight routes | +5k airports 🗼| +1k airlines 👨‍✈️

[AviationStatistics @AvStatsData]

🤖📥 DATA PROCESSING STATS 📥🤖
Week 37:
🛫 Processed Flights: 3.184.005 ⬆
🧳 Commercial: 3.070.935
📦 Cargo: 53.704 | 🥂 Private: 59.366
🚀 Routes: 67.354 ⬇
👨‍✈️ Airlines: 1.314
🗼 Airports: 5.080 🏆
🏙 Cities: 3.823
🇰🇮 Countries: 233
#Data #ATC #Planes #Airports

[AviationStatistics @AvStatsData]

@MrRay69247489 @airasia Flights.

[AviationStatistics @AvStatsData]

🛫MOST ACTIVE AIRLINES🛬
Week 37: 👨‍✈️ Asia-Pacific Airlines 🌏 [flights]
🥇: 🇨🇳China East. Airl. - [15.147]
🥈: 🇨🇳China South. Airl. - [15.053]
🥉: 🇮🇳@IndiGo6E - [14.190]
4 : 🇨🇳Air China - [10.683]
5 : 🇲🇾@airasia - [6.875]
6 : 🇯🇵ANA - [6.203]
#Flying #Aviationlovers

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: Central Asia 🌏 [flights]
🥇: 🇰🇿ALA - Almaty [1.432]
🥈: 🇦🇿GYD - Baku [1.316]
🥉: 🇺🇿TAS - Tashkent [1.081]
4 : 🇰🇿NQZ - Nur-Sultan [849]
5 : 🇰🇬FRU - Bishkek [458]
6 : 🇹🇲ASB - Ashkhabad [333]
#Datahoard #FR24 #Aviationdaily #Planespotting #Avgeek

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: #India 🐘 [flights]
🥇: 🇮🇳DEL - Delhi [8.457]🏆
🥈: 🇮🇳BOM - Mumbai [5.963]
🥉: 🇮🇳BLR - Bangalore [4.845]🏆
4 : 🇮🇳HYD - Hyderabad [3.608]🏆
5 : 🇮🇳MAA - Madras [2.782]🏆
6 : 🇮🇳CCU - Kolkata [2.710]🏆
7 : 🇮🇳AMD - Ahmedabad [1.559]
#Airports #ATC

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: Northern Europe 🌍 [flights]
🥇: 🇩🇰CPH - Copenhagen [4.808]🏆
🥈: 🇳🇴OSL - Oslo [4.537]
🥉: 🇸🇪ARN - Stockholm [3.844]🏆
4 : 🇫🇮HEL - Helsinki [2.980]
5 : 🇳🇴BGO - Bergen [1.537]
6 : 🇮🇸KEF - Reykjavík [1.281]
7 : 🇳🇴TRD - Trondheim [1.076]
#Avgeek

[AviationStatistics @AvStatsData]

🛫BUSIEST ROUTES 🏁
Week 37: 🛩 North America 🌎 [daily flights]
🥇: 🇺🇸 ANC-ENA 🇺🇸 - Grant Aviation [103]
🥈: 🇺🇸 LAX-SFO 🇺🇸 - @united [73]
🥉: 🇺🇸 LAS-LAX 🇺🇸 - @SouthwestAir [64]
4 : 🇺🇸 HNL-OGG 🇺🇸 - [64]
5 : 🇺🇸 LGA-ORD 🇺🇸 - [62]
6 : 🇲🇽 CUN-MEX 🇲🇽 - [58]
#Flights #FR24 #Data

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: #China 🐲 [flights]
🥇: 🇨🇳PVG - Shanghai [8.916]
🥈: 🇨🇳CAN - Guangzhou [8.025]⬆
🥉: 🇨🇳PEK - Beijing [7.877]⬇
4 : 🇨🇳SZX - Shenzhen [7.044]
5 : 🇨🇳XIY - Xian [6.134]
6 : 🇨🇳PKX - Lixian [6.093]
7 : 🇨🇳CKG - Chongqing [5.703]⬆
#Flights #Avgeek

[AviationStatistics @AvStatsData]

🛫BUSIEST CARGO AIRPORTS📦
Week 37: North America 🌎 [flights]
🥇: 🇺🇸MEM - Memphis [2.547]
🥈: 🇺🇸SDF - Louisville [2.170]🏆
🥉: 🇺🇸ANC - Anchorage [1.634]🏆
4 : 🇺🇸MIA - Miami [978]
5 : 🇺🇸CVG - Cincinnati [809]
6 : 🇺🇸ONT - Ontario [643]🏆
#Planes #Airtravel #Planespotting

[AviationStatistics @AvStatsData]

📏LONGEST DISTANCE📏
Week 37: 🛩 #India 🐘 [km]
🥇: 🇮🇳 BLR-SFO 🇺🇸 @airindia [14.015]
🥈: 🇮🇳 BOM-SFO 🇺🇸 @airindia [13.511]
🥉: 🇮🇳 BOM-EWR 🇺🇸 @airindia [12.546]
4 : 🇮🇳 BOM-JFK 🇺🇸 @airindia [12.532]
5 : 🇮🇳 DEL-SFO 🇺🇸 @airindia [12.381]
#Aviationdaily #AirTraffic #Data #Airports

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: #Spain 🥘 [flights]
🥇: 🇪🇸MAD - Madrid [7.839]🏆
🥈: 🇪🇸BCN - Barcelona [6.837]🏆
🥉: 🇪🇸PMI - Palma de Mallorca [5.919]
4 : 🇪🇸AGP - Malaga [3.546]
5 : 🇪🇸ALC - Alicante [2.547]
6 : 🇪🇸LPA - Gran Canaria [2.321]
7 : 🇪🇸IBZ - Ibiza [1.794]
#Flying

[AviationStatistics @AvStatsData]

⏱MOST ON-TIME AIRPORTS⏱
Week 37: #India 🐘
🥇: 🇮🇳AMD - Ahmedabad - [50.1%]
🥈: 🇮🇳HYD - Hyderabad - [49.9%]⬆🏆
🥉: 🇮🇳COK - Kochi - [49.7%]🏆
4 : 🇮🇳MAA - Madras - [45.0%]⬆
5 : 🇮🇳CCU - Kolkata - [44.1%]⬇
6 : 🇮🇳PNQ - Pune - [44.1%]⬇
*delay<15m acc. IATA standard
#FR24

[AviationStatistics @AvStatsData]

⏱MOST ON-TIME AIRPORTS⏱
Week 37: #UnitedKingdom 💂
🥇: 🇬🇧BFS - Belfast - [50.9%]
🥈: 🇬🇧LCY - London (City) - [44.8%]⬆
🥉: 🇬🇧GLA - Glasgow - [40.4%]⬇
4 : 🇬🇧EDI - Edinburgh - [38.2%]⬇🏆
5 : 🇬🇧LTN - London (Lut.) - [31.0%]⬆
*delay<15m acc. IATA standard
#Airtravel #FR24

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: #Belgium 🧇 [flights]
🥇: 🇧🇪BRU - Brussels [3.739]
🥈: 🇧🇪CRL - Charleroi [958]
#FR24 #Planes #Airtravel #Airports #Aviationlovers #Flights #Data #ATC #Planespotting #AirTraffic #Aviationdaily #Avgeek

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: #UnitedKingdom 💂 [flights]
🥇: ��🇧LHR - London [9.255]
🥈: 🇬🇧LGW - London (Gat.) [5.806]
🥉: 🇬🇧MAN - Manchester [4.317]
4 : 🇬🇧STN - London (Stan.) [3.778]
5 : 🇬🇧EDI - Edinburgh [2.512]
6 : 🇬🇧LTN - London (Lut.) [2.119]
#Airports #Planes #ATC

[AviationStatistics @AvStatsData]

🛫MOST ACTIVE AIRLINES🛬
Week 37: 👨‍✈️ Cargo Airlines 📦 [flights]
🥇: 🇺🇸@FedEx - [5.779]
🥈: 🇺🇸@UPSAirlines - [3.845]
🥉: 🇩🇪@DHLexpress - [1.821]
4 : 🇨🇳Sf Airl. - [1.364]⬆
5 : 🇺🇸@AtlasAirWW - [1.204]⬇
6 : 🇿🇦@FlySafair - [1.047]
7 : 🇫🇷@ASLAirlines - [803]
#Flights

[AviationStatistics @AvStatsData]

��MOST CANCELLED FLIGHTS🛑
Week 37: Western Europe 🌍
🥇: 🇩🇪STR - Stuttgart - [2.1%]🏆
🥈: 🇦🇹VIE - Vienna - [2.0%]🏆
🥉: 🇬🇧LHR - London - [1.8%]
4 : 🇩🇪BER - Berlin - [1.7%]🏆
5 : 🇩🇪MUC - Munich - [1.7%]🏆
6 : 🇫🇷MRS - Marseille - [1.6%]
#Planespotting #Datahoard #AirTraffic

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: #SaudiArabia 🇸🇦 [flights]
🥇: 🇸🇦JED - Jeddah [4.691]
🥈: 🇸🇦RUH - Riyadh [4.589]
🥉: 🇸🇦DMM - Dammam [1.658]
4 : 🇸🇦MED - Madinah [1.042]🏆
5 : 🇸🇦AHB - Abha [565]
6 : 🇸🇦GIZ - Gizan [361]🏆
7 : 🇸🇦TUU - Tabuk [307]
#Airtravel #Aviationdaily #FR24

[AviationStatistics @AvStatsData]

⏱MOST ON-TIME AIRLINES⏱
Week 37: 👨‍✈️ Airlines World Wide 🌍
🥇: 🇲🇽@flyvolaris - [73.8%]⬆🏆
🥈: 🇧🇷Azul - [69.2%]⬇
🥉: 🇷🇺@aeroflot - [65.7%]
4 : 🇨🇳Xiamen Airl. - [65.3%]⬆🏆
5 : 🇨🇳Shandong Airl. - [65.2%]⬆🏆
6 : 🇧🇷Gol - [61.8%]⬇
#Airports #Datahoard #Flying #FR24

[AviationStatistics @AvStatsData]

🛫BUSIEST AIRPORTS🛬
Week 37: Oceania 🌏 [flights]
🥇: 🇦🇺SYD - Sydney [5.596]🏆
🥈: 🇦🇺MEL - Melbourne [4.413]🏆
🥉: 🇦🇺BNE - Brisbane [3.760]🏆
4 : 🇳🇿AKL - Auckland [2.545]🏆
5 : 🇦🇺PER - Perth [2.483]
6 : 🇦🇺ADL - Adelaide [1.607]🏆
#ATC #Airtravel #Datahoard #Flying #FR24

[AviationStatistics @AvStatsData]

🛫BUSIEST ROUTES 🏁
Week 37: 🛩 Africa 🌍 [daily flights]
🥇: 🇹🇿 DAR-ZNZ 🇹🇿 - @auricair [81]
🥈: 🇳🇬 ABV-LOS 🇳🇬 - Air Peace [69]
🥉: 🇿🇦 CPT-JNB 🇿🇦 - @FlySafair [53]
4 : 🇸🇨 PRI-SEZ 🇸🇨 - [45]
5 : 🇹🇿 ARK-ZNZ 🇹🇿 - [38]
6 : 🇰🇪 MBA-NBO 🇰🇪 - [35]
7 : 🇬🇭 ACC-KMS 🇬🇭 - [32]
#Data