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Cost of living index > Crime index > Cities with the highest car theft risk in Asia

2025 - Cities With The Highest Car Theft Risk In Asia

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Top Cities with the highest car theft risk in Asia 2025

Descending rankings:

Cities with the highest car theft risk in Asia

Rankings

Most dangerous cities in Asia Cities with the most armed people in Asia Cities with the highest risk of rape in Asia Cities with the highest trust in the police in Asia Cities with the highest car theft risk in Asia Cities with the most drug addicts in Asia Cities with the highest risk for homosexuals in Asia

Ascending rankings:

Safest cities in Asia

Rankings

Safest cities in Asia Cities with the fewest armed people in Asia Cities with the lowest risk of rape in Asia Cities with the lowest trust in the police in Asia Cities with the lowest car theft risk in Asia Cities with the fewest drug addicts in Asia Safest cities in Asia for homosexuals

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Ranking

Indicators

#

Place

Cities

Asian ranking

Car theft fear index

Worst goes first

Police trust index

The more the better

Cost of living index

The more, the higher prices
🏅 1
🇧🇩   Narsingdi, Bangladesh
93.05
8.35
🥈 2
🇦🇫   Kabul, Afghanistan
84.94
48.05
14.61
🥉 3
🇵🇭   Caloocan, Philippines
79.42
55.74
19.83
4
🇰🇿   Shymkent, Kazakhstan
76.60
50.88
15.35
5
72.40
30.93
15.64
6
🇧🇩   Gazipur, Bangladesh
68.09
51.55
10.39
7
🇻🇳   Haiphong, Vietnam
66.38
73.79
16.10
8
🇵🇰   Quetta, Pakistan
66.29
46.09
12.70
9
🇦🇫   Herat, Afghanistan
62.43
40.93
16.57
10
🇰🇿   Aktobe, Kazakhstan
61.05
62.58
14.14
11
🇲🇾   Kuala Lumpur, Malaysia
60.72
72.65
20.43
12
🇵🇭   Manila, Philippines
60.50
51.11
21.62
13
🇵🇭   Batangas, Philippines
60.41
16.09
14
🇧🇩   Dhaka, Bangladesh
60.15
46.65
12.69
15
🇷🇺   Irkutsk, Russia
60.14
65.32
17.68
16
🇧🇩   Chattogram, Bangladesh
59.81
50.98
11.36
17
59.65
66.69
20.36
18
🇲🇾   Johor Bahru, Malaysia
59.08
67.48
19.18
19
🇻🇳   Bien Hoa, Vietnam
57.92
70.94
12.24
20
🇲🇾   Klang, Malaysia
57.61
68.72
17.48
21
🇮🇳   Delhi, India
57.43
61.56
16.24
22
56.42
14.04
23
🇵🇰   Karachi, Pakistan
55.58
42.06
13.42
24
🇵🇰   Rawalpindi, Pakistan
55.21
51.57
11.89
25
🇵🇰   Peshawar, Pakistan
54.66
41.71
11.20
26
🇮🇩   Depok, Indonesia
54.44
66.14
11.21
27
🇷🇺   Rostov-on-Don, Russia
53.05
38.60
20.80
28
51.16
65.57
18.25
29
🇰🇭   Phnom Penh, Cambodia
50.33
52.50
22.01
30
🇮🇳   Bengaluru, India
49.19
72.18
16.33
31
🇷🇺   Yekaterinburg, Russia
47.80
67.02
17.02
32
🇰🇿   Almaty, Kazakhstan
47.12
71.26
21.15
33
🇮🇩   Jakarta, Indonesia
46.39
53.00
19.33
34
🇷🇺   Ufa, Russia
45.11
52.28
14.53
35
🇮🇩   Medan, Indonesia
44.61
51.11
14.45
36
🇷🇺   Novosibirsk, Russia
44.09
50.88
16.42
37
🇲🇻   Malé, Maldives
44.08
71.87
38.56
38
🇮🇳   Lucknow, India
44.07
71.25
13.48
39
🇰🇿   Karaganda, Kazakhstan
43.81
52.28
15.38
40
🇵🇭   Taguig, Philippines
43.60
63.33
23.58
41
🇷🇺   Volgograd, Russia
43.18
42.07
14.30
42
🇰🇬   Bishkek, Kyrgyzstan
42.95
40.85
18.94
43
🇹🇭   Nonthaburi, Thailand
42.91
66.71
19.56
44
🇵🇰   Multan, Pakistan
42.64
51.11
11.72
45
🇮🇳   Kolkata, India
41.42
66.58
12.66
46
🇵🇭   Cebu City, Philippines
41.09
19.98
47
40.95
40.24
20.35
48
🇵🇰   Lahore, Pakistan
40.87
39.08
13.61
49
🇷🇺   Chelyabinsk, Russia
40.04
42.13
14.48
50
🇮🇳   Mumbai, India
39.40
66.14
22.58
51
🇵🇰   Faisalabad, Pakistan
39.00
50.12
10.53
52
39.00
48.25
10.93
53
🇮🇩   Sidoarjo, Indonesia
39.00
63.37
11.38
54
🇷🇺   Vladivostok, Russia
38.01
66.44
19.18
55
🇷🇺   Khabarovsk, Russia
37.89
68.48
18.79
56
🇮🇳   Hyderabad, India
37.53
72.34
15.21
57
🇵🇰   Gujranwala, Pakistan
37.44
40.88
9.64
58
🇲🇳   Ulaanbaatar, Mongolia
37.13
51.15
24.24
59
36.75
29.00
48.19
60
🇵🇭   Bulakan, Philippines
36.61
15.15
61
🇱🇦   Vientiane, Laos
36.17
71.49
34.70
62
🇹🇲   Ashgabat, Turkmenistan
35.65
47.31
63.11
63
🇦🇿   Sumqayit, Azerbaijan
35.65
72.04
15.67
64
🇱🇰   Colombo, Sri Lanka
35.35
67.85
18.86
65
🇹🇭   Phuket, Thailand
35.18
55.16
29.47
66
🇮🇳   Jaipur, India
34.99
71.35
13.28
67
🇮🇳   Chennai, India
34.74
70.74
14.40
68
🇹🇱   Dili, Timor-Leste
34.35
49.15
41.98
69
🇻🇳   Hanoi, Vietnam
33.32
70.64
17.68
70
🇮🇩   Bekasi, Indonesia
33.13
51.55
14.98
71
🇷🇺   Tolyatti, Russia
32.88
52.24
14.55
72
🇮🇩   Bandung, Indonesia
32.09
65.68
13.65
73
🇷🇺   Moscow, Russia
32.07
50.67
27.78
74
🇮🇳   Ahmedabad, India
31.74
72.49
15.09
75
🇺🇿   Nukus, Uzbekistan
31.70
70.24
18.76
76
🇺🇿   Namangan, Uzbekistan
31.27
72.58
11.92
77
🇷🇺   Krasnodar, Russia
30.91
65.57
15.44
78
🇻🇳   Hải Dương, Vietnam
30.87
72.37
15.76
79
🇹🇭   Bangkok, Thailand
30.76
61.05
23.82
80
🇹🇭   Samut Sakhon, Thailand
30.67
70.94
24.08
81
🇨🇳   Tianjin, China
30.21
72.75
19.24
82
🇮🇩   Tangerang, Indonesia
30.18
67.17
15.68
83
🇺🇿   Samarkand, Uzbekistan
30.18
71.76
14.32
84
🇺🇿   Bukhara, Uzbekistan
30.07
72.18
13.31
85
🇹🇭   Samut Prakan, Thailand
29.39
70.94
17.17
86
🇨🇳   Guangzhou, China
28.92
48.55
21.46
87
🇺🇿   Fergana, Uzbekistan
28.88
77.18
17.71
88
🇹🇭   Kalasin, Thailand
28.66
68.24
15.54
89
🇷🇺   Omsk, Russia
28.26
67.20
14.76
90
🇷🇺   Makhachkala, Russia
27.87
40.34
15.82
91
🇮🇳   Surat, India
27.53
55.74
24.38
92
🇲🇾   Malacca, Malaysia
26.39
93
26.21
18.16
94
🇷🇺   Barnaul, Russia
25.44
52.28
15.69
95
🇷🇺   Kazan, Russia
25.01
65.35
16.30
96
🇯🇵   Osaka, Japan
24.92
80.68
28.33
97
🇰🇷   Incheon, South Korea
24.85
80.27
28.58
98
🇮🇩   Surabaya, Indonesia
24.75
51.06
15.79
99
🇨🇳   Shenzhen, China
24.44
72.37
25.40
100
🇨🇳   Shanghai, China
23.61
71.72
27.28
101
23.59
70.02
16.19
102
🇰🇷   Ulsan, South Korea
23.43
70.74
24.01
103
🇨🇳   Beijing, China
23.41
72.18
26.25
104
🇳🇵   Kathmandu, Nepal
23.37
45.61
13.70
105
🇺🇿   Tashkent, Uzbekistan
23.30
65.17
21.60
106
🇹🇯   Dushanbe, Tajikistan
21.60
62.33
17.00
107
🇰🇷   Gwangju, South Korea
21.52
74.49
27.37
108
🇰🇷   Daegu, South Korea
21.31
75.68
28.99
109
🇹🇼   Kaohsiung, Taiwan
21.19
77.50
22.70
110
🇦🇿   Baku, Azerbaijan
20.82
69.96
19.24
111
🇷🇺   Saratov, Russia
20.59
47.13
14.02
112
🇯🇵   Nagoya, Japan
20.55
83.21
28.31
113
🇯🇵   Tokyo, Japan
20.50
83.90
34.80
114
🇰🇷   Busan, South Korea
19.50
76.01
27.58
115
🇹🇭   Chiang Mai, Thailand
19.38
71.87
19.25
116
18.91
52.28
47.37
117
🇹🇭   Yala, Thailand
18.68
62.73
16.54
118
🇨🇳   Chengdu, China
18.66
71.67
16.43
119
🇰🇷   Seoul, South Korea
17.97
77.23
32.92
120
🇻🇳   Da Nang, Vietnam
17.67
70.67
16.05
121
🇯🇵   Saitama, Japan
17.60
89.39
23.64
122
🇸🇬   Singapore, Singapore
17.37
87.53
82.53
123
🇹🇼   Taipei, Taiwan
17.32
73.02
26.35
124
🇯🇵   Kawasaki, Japan
17.05
82.59
32.38
125
🇨🇳   Chongqing, China
16.01
60.09
16.26
126
🇹🇼   Tainan, Taiwan
15.15
78.20
19.31
127
🇹🇼   Taoyuan, Taiwan
14.72
65.35
23.00
128
🇰🇷   Suwon-si, South Korea
14.71
76.36
24.83
129
🇯🇵   Yokohama, Japan
14.33
83.61
29.80
130
🇯🇵   Kobe, Japan
13.80
83.31
25.69
131
🇰🇷   Daejeon, South Korea
13.79
77.02
26.03
132
13.79
70.67
16.46
133
🇯🇵   Sapporo, Japan
13.60
81.41
30.22
134
🇹🇼   Taichung, Taiwan
13.36
75.85
21.52
135
🇨🇳   Wuhan, China
13.28
72.08
20.13
136
🇨🇳   Xi'An, China
13.07
78.77
17.49
137
🇨🇳   Suzhou, China
12.97
68.24
21.48
138
🇻🇳   Can Tho, Vietnam
12.67
72.34
12.41
139
🇲🇴   Mação, Macao
12.06
82.60
33.11
140
🇭🇰   Hong Kong, Hong Kong
11.91
52.50
73.47
141
🇯🇵   Kyoto, Japan
10.54
89.44
27.00

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