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2025 - Cities With The Highest Percentage Of Cars On The Road In Asia

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Top Cities with the highest percentage of cars on the road in Asia 2025

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Ranking

Indicators

#

Place

Cities

Asian ranking

Share of cars

The more the worse

Traffic index

The more the worse

Car accident fear index

The more the worse
🏅 1
🇵🇰   Peshawar, Pakistan
88.89
75.83
70.24
🥈 2
🇲🇾   Johor Bahru, Malaysia
86.96
78.57
51.18
🥉 3
🇷🇺   Tolyatti, Russia
72.65
57.33
38.60
4
🇲🇾   Kuala Lumpur, Malaysia
69.03
75.96
50.76
5
🇮🇳   Jaipur, India
65.49
77.56
72.34
6
🇹🇭   Chiang Mai, Thailand
65.22
54.98
41.16
7
🇰🇷   Incheon, South Korea
61.06
58.39
41.19
8
🇰🇷   Daegu, South Korea
59.48
60.44
42.71
9
🇹🇭   Phuket, Thailand
59.13
70.23
72.04
10
🇲🇾   Klang, Malaysia
58.48
73.51
49.86
11
🇨🇳   Tianjin, China
56.03
71.06
51.36
12
🇮🇳   Delhi, India
55.26
81.99
73.89
13
🇵🇰   Lahore, Pakistan
55.26
77.57
71.80
14
🇷🇺   Khabarovsk, Russia
54.24
52.23
76.13
15
🇵🇰   Karachi, Pakistan
53.85
78.31
71.22
16
🇹🇭   Bangkok, Thailand
51.75
83.13
73.89
17
🇷🇺   Vladivostok, Russia
50.43
74.54
73.09
18
🇮🇩   Tangerang, Indonesia
49.15
82.06
77.66
19
🇷🇺   Chelyabinsk, Russia
48.70
68.41
71.87
20
🇵🇰   Rawalpindi, Pakistan
46.90
74.99
71.55
21
🇮🇳   Lucknow, India
46.55
72.79
72.39
22
🇵🇰   Quetta, Pakistan
46.09
67.51
70.67
23
🇷🇺   Barnaul, Russia
45.61
53.79
73.62
24
🇮🇩   Surabaya, Indonesia
45.22
75.52
72.39
25
🇵🇰   Faisalabad, Pakistan
45.22
60.99
71.21
26
🇵🇰   Gujranwala, Pakistan
44.83
64.33
57.15
27
44.83
52.41
28
🇷🇺   Kazan, Russia
44.74
69.31
46.00
29
🇮🇩   Jakarta, Indonesia
44.74
81.16
70.24
30
🇦🇫   Kabul, Afghanistan
44.44
77.75
70.79
31
🇹🇲   Ashgabat, Turkmenistan
44.17
38.72
40.93
32
🇵🇭   Manila, Philippines
43.86
81.85
75.07
33
🇱🇰   Colombo, Sri Lanka
43.64
79.92
70.64
34
🇮🇳   Mumbai, India
43.36
79.72
71.76
35
🇮🇩   Bekasi, Indonesia
42.37
78.88
71.22
36
🇵🇭   Cebu City, Philippines
40.71
60.35
37
🇮🇳   Bengaluru, India
40.35
80.44
71.87
38
🇮🇳   Hyderabad, India
40.22
71.89
69.53
39
🇷🇺   Rostov-on-Don, Russia
39.83
61.21
38.60
40
🇨🇳   Beijing, China
39.42
69.95
50.35
41
🇷🇺   Omsk, Russia
39.32
70.33
72.34
42
🇷🇺   Volgograd, Russia
38.60
67.91
70.67
43
🇦🇿   Baku, Azerbaijan
38.60
69.74
61.62
44
37.93
80.30
72.08
45
37.39
67.56
40.39
46
37.29
73.86
72.04
47
🇷🇺   Novosibirsk, Russia
36.84
66.52
44.26
48
🇰🇷   Busan, South Korea
35.59
59.02
41.03
49
35.09
66.35
65.88
50
🇲🇳   Ulaanbaatar, Mongolia
35.04
69.36
72.08
51
🇨🇳   Guangzhou, China
33.33
62.83
31.42
52
🇷🇺   Krasnodar, Russia
32.76
68.91
72.08
53
🇮🇳   Kolkata, India
32.74
69.00
52.28
54
🇮🇳   Ahmedabad, India
32.17
60.32
70.94
55
🇺🇿   Tashkent, Uzbekistan
32.17
65.00
72.03
56
🇰🇬   Bishkek, Kyrgyzstan
30.97
56.65
72.58
57
🇰🇿   Almaty, Kazakhstan
30.51
71.25
70.74
58
🇮🇳   Chennai, India
30.17
73.59
72.49
59
🇰🇷   Daejeon, South Korea
30.17
49.31
40.58
60
🇹🇼   Tainan, Taiwan
29.57
44.02
40.55
61
🇹🇼   Taoyuan, Taiwan
29.41
60.99
40.85
62
🇹🇱   Dili, Timor-Leste
29.31
49.93
50.06
63
🇷🇺   Yekaterinburg, Russia
28.20
70.16
71.77
64
🇷🇺   Moscow, Russia
28.18
71.40
39.62
65
🇮🇳   Surat, India
26.96
63.80
72.86
66
🇯🇵   Saitama, Japan
26.51
37.87
31.35
67
🇷🇺   Ufa, Russia
25.44
69.33
70.41
68
🇨🇳   Shanghai, China
25.00
63.37
32.66
69
🇨🇳   Wuhan, China
24.07
66.92
61.13
70
🇷🇺   Saratov, Russia
23.48
54.99
71.49
71
🇨🇳   Shenzhen, China
22.61
64.16
50.29
72
🇹🇼   Kaohsiung, Taiwan
22.61
55.62
40.51
73
🇧🇩   Chattogram, Bangladesh
22.41
75.01
72.34
74
🇮🇩   Bandung, Indonesia
22.32
66.60
50.67
75
🇯🇵   Nagoya, Japan
21.37
40.56
20.85
76
🇯🇵   Osaka, Japan
20.83
35.80
28.77
77
🇨🇳   Chengdu, China
20.75
56.65
30.41
78
🇧🇩   Dhaka, Bangladesh
20.51
77.22
81.40
79
🇹🇼   Taichung, Taiwan
20.18
56.92
44.43
80
🇸🇬   Singapore, Singapore
19.47
53.96
30.62
81
🇹🇼   Taipei, Taiwan
19.13
63.34
46.78
82
🇰🇷   Seoul, South Korea
18.97
64.80
39.73
83
🇲🇴   Mação, Macao
18.80
34.14
30.41
84
🇯🇵   Sapporo, Japan
17.05
35.64
30.93
85
🇷🇺   Irkutsk, Russia
15.25
56.42
46.03
86
🇱🇦   Vientiane, Laos
15.04
48.98
70.67
87
🇮🇩   Medan, Indonesia
14.04
65.30
72.75
88
🇭🇰   Hong Kong, Hong Kong
11.21
59.07
49.15
89
🇻🇳   Hanoi, Vietnam
10.62
64.70
72.08
90
🇰🇭   Phnom Penh, Cambodia
10.17
68.61
72.58
91
🇨🇳   Suzhou, China
9.82
53.86
37.84
92
9.73
71.34
76.94
93
🇻🇳   Da Nang, Vietnam
9.48
41.30
47.31
94
🇯🇵   Tokyo, Japan
8.11
44.70
27.89
95
🇳🇵   Kathmandu, Nepal
4.46
68.23
73.16
96
🇯🇵   Kobe, Japan
2.61
31.77
28.32
97
🇨🇳   Xi'An, China
2.59
58.91
41.99
98
🇯🇵   Kyoto, Japan
2.54
18.80
31.46
99
🇯🇵   Yokohama, Japan
0.89
30.50
31.00
100
🇨🇳   Chongqing, China
0.86
60.64
51.55
101
🇲🇻   Malé, Maldives
0.83
28.47
72.34

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