Bot Protection

Please confirm you are not a robot

Main menu

2025 - Cities With The Lowest Car Theft Risk In Asia

We strive to ensure the accuracy of our research data. If you can help improve it, please share some prices from your city

Top Cities with the lowest car theft risk in Asia 2025

Tell us about prices in your city

Comparisons get better with each new piece of data you provide. Share some prices from your city!

Ranking

Indicators

#

Place

Cities

Asian ranking

Car theft fear index

Better goes first

Police trust index

The more the better

Cost of living index

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

You are free to use this data, but a link to our website is required!