Assessment of Airports after Climatic Location Factors and Mobility

AIRPORT CODE FLIGHTS POPULATION (mill) VAP (hPa) P95 (hPa)
Berlin SXF 83 7.733 9.3 16.1
Paris LBG 0 5.802 10.8 18.1
Toussous-le-noble TNF 0 5.802 10.8 18.1
Paris ORY 201 5.802 10.8 18.1
Tijuana TIJ 42 10.494 11.2 17.4
Teheran THR 62 5.025 8.4 14.5
Karachi KHI 62 9.397 23.5 33.9
Taichung RMQ 29 6.255 21.1 30.0
Tainan TNN 1 6.539 24.1 32.9
Pingtung PIF 0 6.539 24.1 32.9
Tokyo NRT 286 5.068 14.6 28.7
Tokyo HND 157 7.634 14.0 27.9
Rio De Janeiro GIG 98 9.334 22.5 29.0
Rio De Janeiro SDU 30 9.334 22.5 29.0
Sao Paulo CGH 47 7.042 19.7 25.8
St. Petersburg LED 184 8.634 8.3 18.1
Mumbai BOM 227 5.698 26.5 32.7
Surat STV 3 5.976 22.7 33.1
Kolkata CCU 97 6.861 26.9 35.2
Dhaka DAC 74 7.399 26.9 34.9
Delhi DEL 264 13.151 20.5 35.1
Bangkok DMK 67 7.064 28.9 33.0
Yangon RGN 49 5.794 28.1 33.8
Jakarta CGK 185 12.045 28.5 30.4
Beijing PEK 535 11.187 10.2 24.1
Tianjin TSN 147 8.143 11.3 26.3
Guangzhou CAN 338 16.855 22.6 33.6
Shenzhen SZX 234 65.458 23.2 33.8
Wuhan WUH 187 5.236 17.1 33.3
Hangzhou HGH 252 5.277 17.2 32.5
Qingdao TAO 188 9.485 13.0 27.7
Shanghai SHA 205 19.832 17.0 33.3
Shanghai PVG 411 67.767 17.1 33.6
Newark EWR 253 5.057 11.7 25.3
Teterboro TEB 1 5.057 11.7 25.3
Bangkok BKK 326 7.064 28.9 33.0
Jakarta PCB 0 12.045 28.5 30.4
Nagoya NKM 6 5.681 14.1 27.8
Jakarta HLP 0 12.045 28.5 30.4
Beijing NAY 80 6.170 10.8 25.0
Shijiazhuang SJW 82 6.185 11.7 25.6
Quanzhou JJN 44 5.457 21.9 33.3
Morristown MMU 2 5.057 11.7 25.3
San Diego SDM 0 10.494 11.2 17.4
Nova Iguacu QNV 0 9.334 22.5 29.0
Caldwell CDW 0 5.057 11.7 25.3
Taichung TXG 0 6.255 21.1 30.0
Linden LDJ 0 5.057 11.7 25.3