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Cost of living index > Crime index > Cities with the most armed people in Asia

2025 - Cities With The Most Armed People In Asia

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Top Cities with the most armed people in Asia 2025

Descending rankings:

Cities with the most armed people 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

Gun ownership index

Most armed go first

Cost of living index

The more, the higher prices

Crime rate index

The more the worse
🏅 1
🇦🇫   Kabul, Afghanistan
88.30
14.61
79.02
🥈 2
🇵🇰   Peshawar, Pakistan
82.08
11.20
52.75
🥉 3
🇦🇫   Herat, Afghanistan
72.08
16.57
63.48
4
🇵🇰   Quetta, Pakistan
71.87
12.70
59.01
5
🇵🇰   Gujranwala, Pakistan
71.26
9.64
46.03
6
🇹🇭   Kalasin, Thailand
62.73
15.54
37.39
7
🇹🇭   Yala, Thailand
58.62
16.54
37.32
8
🇵🇰   Karachi, Pakistan
51.45
13.42
56.30
9
🇵🇰   Rawalpindi, Pakistan
45.14
11.89
51.39
10
🇷🇺   Makhachkala, Russia
44.26
15.82
43.48
11
🇰🇬   Bishkek, Kyrgyzstan
42.89
18.94
54.42
12
🇷🇺   Tolyatti, Russia
42.63
14.55
45.73
13
🇵🇰   Lahore, Pakistan
41.24
13.61
44.65
14
🇵🇭   Taguig, Philippines
41.16
23.58
47.72
15
🇰🇿   Aktobe, Kazakhstan
39.32
14.14
54.66
16
🇷🇺   Rostov-on-Don, Russia
38.21
20.80
52.44
17
🇮🇳   Lucknow, India
36.35
13.48
45.03
18
36.34
15.64
62.84
19
🇵🇰   Multan, Pakistan
36.05
11.72
44.32
20
🇰🇿   Karaganda, Kazakhstan
34.93
15.38
51.29
21
🇳🇵   Kathmandu, Nepal
32.05
13.70
40.93
22
🇵🇰   Faisalabad, Pakistan
31.93
10.53
44.82
23
🇹🇭   Phuket, Thailand
31.93
29.47
41.08
24
🇷🇺   Volgograd, Russia
31.48
14.30
50.46
25
🇮🇩   Sidoarjo, Indonesia
31.34
11.38
41.23
26
🇺🇿   Fergana, Uzbekistan
31.31
17.71
40.49
27
🇰🇿   Shymkent, Kazakhstan
31.20
15.35
58.38
28
🇲🇾   Johor Bahru, Malaysia
31.20
19.18
50.02
29
31.05
10.93
42.45
30
🇷🇺   Vladivostok, Russia
31.00
19.18
44.10
31
🇮🇳   Surat, India
30.89
24.38
35.92
32
30.89
20.36
53.97
33
🇵🇭   Caloocan, Philippines
30.71
19.83
65.22
34
🇱🇦   Vientiane, Laos
30.67
34.70
37.38
35
🇺🇿   Bukhara, Uzbekistan
30.52
13.31
38.83
36
🇹🇭   Bangkok, Thailand
30.45
23.82
38.03
37
🇷🇺   Omsk, Russia
30.41
14.76
40.31
38
🇹🇯   Dushanbe, Tajikistan
30.41
17.00
43.02
39
30.36
16.19
33.32
40
🇹🇱   Dili, Timor-Leste
30.36
41.98
43.10
41
30.33
16.46
30.01
42
🇷🇺   Irkutsk, Russia
30.10
17.68
50.26
43
🇷🇺   Saratov, Russia
30.05
14.02
46.57
44
🇷🇺   Khabarovsk, Russia
29.45
18.79
40.51
45
🇷🇺   Chelyabinsk, Russia
29.13
14.48
48.07
46
🇷🇺   Novosibirsk, Russia
29.00
16.42
47.07
47
🇰🇿   Almaty, Kazakhstan
28.93
21.15
48.15
48
🇱🇰   Colombo, Sri Lanka
28.88
18.86
42.45
49
🇷🇺   Kazan, Russia
27.27
16.30
34.63
50
🇹🇭   Samut Sakhon, Thailand
24.62
24.08
37.12
51
🇻🇳   Hải Dương, Vietnam
22.13
15.76
33.66
52
🇦🇿   Baku, Azerbaijan
21.96
19.24
34.65
53
🇻🇳   Bien Hoa, Vietnam
21.88
12.24
44.31
54
🇺🇿   Samarkand, Uzbekistan
21.88
14.32
37.69
55
🇹🇭   Chiang Mai, Thailand
21.82
19.25
26.41
56
21.82
18.25
46.46
57
🇺🇿   Nukus, Uzbekistan
21.79
18.76
39.27
58
🇮🇳   Chennai, India
21.26
14.40
38.53
59
21.26
47.37
42.28
60
🇧🇩   Gazipur, Bangladesh
21.26
10.39
60.38
61
🇰🇭   Phnom Penh, Cambodia
20.98
22.01
48.87
62
🇷🇺   Ufa, Russia
20.90
14.53
47.40
63
🇨🇳   Suzhou, China
20.90
21.48
21.16
64
🇹🇭   Nonthaburi, Thailand
20.89
19.56
41.40
65
🇹🇲   Ashgabat, Turkmenistan
20.89
63.11
46.15
66
🇵🇭   Manila, Philippines
20.73
21.62
56.39
67
🇲🇾   Klang, Malaysia
20.67
17.48
49.90
68
🇮🇩   Jakarta, Indonesia
20.66
19.33
50.49
69
🇹🇭   Samut Prakan, Thailand
20.62
17.17
32.68
70
🇧🇩   Chattogram, Bangladesh
20.62
11.36
58.99
71
20.59
20.35
42.72
72
🇮🇩   Depok, Indonesia
20.59
11.21
46.95
73
🇹🇼   Taichung, Taiwan
20.58
21.52
20.48
74
🇷🇺   Barnaul, Russia
20.44
15.69
38.84
75
20.44
48.19
51.58
76
🇮🇩   Bekasi, Indonesia
20.43
14.98
39.01
77
🇷🇺   Yekaterinburg, Russia
20.36
17.02
43.15
78
🇷🇺   Moscow, Russia
20.35
27.78
39.67
79
🇮🇩   Bandung, Indonesia
20.35
13.65
39.61
80
🇦🇿   Sumqayit, Azerbaijan
20.31
15.67
42.52
81
🇷🇺   Krasnodar, Russia
20.29
15.44
36.90
82
🇮🇩   Tangerang, Indonesia
20.29
15.68
43.18
83
🇺🇿   Tashkent, Uzbekistan
20.27
21.60
36.26
84
🇧🇩   Dhaka, Bangladesh
20.12
12.69
57.06
85
🇻🇳   Can Tho, Vietnam
20.04
12.41
25.70
86
🇮🇩   Medan, Indonesia
20.00
14.45
49.55
87
🇮🇳   Mumbai, India
19.97
22.58
41.67
88
🇮🇳   Bengaluru, India
19.80
16.33
46.19
89
🇮🇳   Jaipur, India
19.46
13.28
34.46
90
🇰🇷   Seoul, South Korea
19.46
32.92
25.19
91
🇲🇳   Ulaanbaatar, Mongolia
19.46
24.24
47.85
92
🇻🇳   Haiphong, Vietnam
19.30
16.10
52.68
93
🇮🇳   Hyderabad, India
19.12
15.21
39.80
94
🇲🇴   Mação, Macao
19.08
33.11
22.84
95
🇲🇻   Malé, Maldives
19.08
38.56
54.49
96
🇮🇳   Delhi, India
19.04
16.24
53.31
97
🇮🇳   Kolkata, India
19.04
12.66
40.31
98
🇮🇩   Surabaya, Indonesia
19.04
15.79
37.69
99
🇺🇿   Namangan, Uzbekistan
18.91
11.92
42.20
100
🇹🇼   Tainan, Taiwan
18.82
19.31
18.74
101
🇹🇼   Taoyuan, Taiwan
18.75
23.00
19.87
102
🇲🇾   Kuala Lumpur, Malaysia
18.75
20.43
54.42
103
🇨🇳   Guangzhou, China
16.44
21.46
32.81
104
🇨🇳   Tianjin, China
15.57
19.24
31.03
105
🇯🇵   Kawasaki, Japan
14.80
32.38
15.79
106
🇯🇵   Yokohama, Japan
14.35
29.80
15.20
107
🇨🇳   Beijing, China
14.21
26.25
26.73
108
🇯🇵   Tokyo, Japan
13.70
34.80
20.73
109
🇯🇵   Kobe, Japan
13.49
25.69
15.26
110
🇨🇳   Wuhan, China
13.40
20.13
24.80
111
🇨🇳   Chengdu, China
13.23
16.43
23.17
112
🇨🇳   Shenzhen, China
12.99
25.40
26.62
113
🇨🇳   Chongqing, China
12.99
16.26
25.63
114
🇨🇳   Shanghai, China
12.36
27.28
28.96
115
🇯🇵   Osaka, Japan
12.16
28.33
26.83
116
🇯🇵   Kyoto, Japan
12.16
27.00
13.98
117
🇰🇷   Incheon, South Korea
11.74
28.58
26.91
118
🇹🇼   Kaohsiung, Taiwan
11.70
22.70
22.36
119
🇻🇳   Hanoi, Vietnam
11.66
17.68
36.04
120
🇯🇵   Nagoya, Japan
11.45
28.31
18.26
121
🇸🇬   Singapore, Singapore
11.03
82.53
20.44
122
🇰🇷   Gwangju, South Korea
11.00
27.37
32.00
123
🇯🇵   Sapporo, Japan
10.99
30.22
13.87
124
🇰🇷   Ulsan, South Korea
10.98
24.01
28.41
125
🇭🇰   Hong Kong, Hong Kong
10.92
73.47
23.68
126
🇻🇳   Da Nang, Vietnam
10.87
16.05
25.56
127
🇨🇳   Xi'An, China
10.86
17.49
22.22
128
🇯🇵   Saitama, Japan
10.74
23.64
18.83
129
🇰🇷   Busan, South Korea
10.65
27.58
23.86
130
🇰🇷   Suwon-si, South Korea
10.60
24.83
25.61
131
🇮🇳   Ahmedabad, India
10.56
15.09
35.05
132
🇹🇼   Taipei, Taiwan
10.56
26.35
22.10
133
🇰🇷   Daegu, South Korea
10.44
28.99
24.81
134
🇰🇷   Daejeon, South Korea
10.36
26.03
20.17

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