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