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Cost of living index > Property price index > Cities with the most expensive utilities in Asia

2025 - Cities With The Most Expensive Utilities 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

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Top Cities with the most expensive utilities in Asia 2025

Descending rankings:

Cities with the most expensive utilities in Asia

Rankings

Cities with the most expensive property prices in Asia Cities with the most expensive utilities in Asia Cities with the most expensive mobile services in Asia Cities with the most expensive internet service in Asia Cities with the most expensive apartment prices in Asia Cities with the most expensive rent prices in Asia Cities with the highest mortgage rates in Asia

Ascending rankings:

Cities with the cheapest property prices in Asia

Rankings

Cities with the cheapest property prices in Asia Cities with the cheapest utilities in Asia Cities with the cheapest mobile service in Asia Cities with the cheapest internet service in Asia Cities with the cheapest apartment prices in Asia Cities with the cheapest rent in Asia Cities with the lowest mortgage rates in Asia

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Ranking

Indicators

#

Place

Cities

Asian ranking

Utility costs index

Most expensive first

Utility costs

US Dollars, $

Rent to salary ratio

Rent/Salary
🏅 1
🇹🇲   Ashgabat, Turkmenistan
307.63
532.19
1.84
🥈 2
🇯🇵   Sapporo, Japan
173.86
300.77
0.45
🥉 3
🇰🇷   Daegu, South Korea
135.98
235.24
0.22
4
🇭🇰   Hong Kong, Hong Kong
133.05
230.17
0.47
5
🇯🇵   Kawasaki, Japan
102.61
177.51
0.22
6
🇦🇫   Herat, Afghanistan
100.22
173.39
1.29
7
🇵🇭   Batangas, Philippines
97.12
168.02
1.46
8
🇰🇷   Daejeon, South Korea
96.25
166.51
0.22
9
🇰🇷   Suwon-si, South Korea
94.04
162.70
0.17
10
🇯🇵   Tokyo, Japan
92.89
160.70
0.30
11
🇰🇷   Busan, South Korea
92.31
159.70
0.21
12
🇰🇷   Seoul, South Korea
90.55
156.65
0.25
13
🇰🇷   Incheon, South Korea
90.55
156.65
0.21
14
88.92
153.83
0.61
15
🇰🇷   Ulsan, South Korea
88.88
153.76
0.15
16
🇰🇷   Gwangju, South Korea
88.56
153.20
0.23
17
🇸🇬   Singapore, Singapore
86.06
148.89
0.53
18
🇵🇰   Quetta, Pakistan
83.17
143.89
2.10
19
🇯🇵   Saitama, Japan
81.05
140.22
0.21
20
🇵🇭   Caloocan, Philippines
80.03
138.45
1.44
21
🇯🇵   Nagoya, Japan
79.87
138.18
0.22
22
🇯🇵   Kobe, Japan
79.05
136.76
0.27
23
🇹🇱   Dili, Timor-Leste
73.60
127.33
0.32
24
🇵🇭   Manila, Philippines
72.13
124.78
0.73
25
🇵🇭   Taguig, Philippines
71.37
123.47
0.83
26
🇯🇵   Yokohama, Japan
71.02
122.86
0.24
27
🇹🇭   Phuket, Thailand
70.31
121.63
0.77
28
🇵🇰   Karachi, Pakistan
69.33
119.94
1.21
29
🇹🇭   Kalasin, Thailand
68.73
118.90
0.60
30
68.24
118.05
0.62
31
🇵🇭   Bulakan, Philippines
67.53
116.83
0.66
32
🇯🇵   Osaka, Japan
65.68
113.62
0.27
33
🇷🇺   Khabarovsk, Russia
65.36
113.07
0.62
34
🇵🇰   Lahore, Pakistan
64.18
111.03
1.02
35
🇹🇼   Kaohsiung, Taiwan
63.61
110.05
0.33
36
🇷🇺   Moscow, Russia
61.91
107.11
0.49
37
🇵🇭   Cebu City, Philippines
61.90
107.09
0.75
38
60.64
104.91
0.52
39
🇯🇵   Kyoto, Japan
57.40
99.30
0.25
40
🇲🇻   Malé, Maldives
56.64
97.98
0.77
41
🇷🇺   Ufa, Russia
56.32
97.44
0.53
42
🇷🇺   Rostov-on-Don, Russia
55.22
95.52
0.87
43
🇮🇩   Jakarta, Indonesia
54.40
94.11
0.62
44
🇷🇺   Omsk, Russia
54.40
94.11
0.53
45
🇰🇭   Phnom Penh, Cambodia
54.17
93.72
1.11
46
🇵🇰   Rawalpindi, Pakistan
53.52
92.59
0.86
47
51.74
89.51
0.56
48
🇷🇺   Yekaterinburg, Russia
51.15
88.49
0.63
49
🇵🇰   Peshawar, Pakistan
50.76
87.82
0.69
50
🇷🇺   Irkutsk, Russia
49.28
85.25
0.71
51
🇮🇩   Sidoarjo, Indonesia
49.08
84.91
0.64
52
🇹🇼   Tainan, Taiwan
49.06
84.88
0.20
53
🇹🇭   Bangkok, Thailand
48.64
84.15
0.54
54
🇮🇩   Surabaya, Indonesia
48.61
84.09
0.73
55
🇨🇳   Wuhan, China
48.28
83.53
0.36
56
🇷🇺   Vladivostok, Russia
48.13
83.27
0.72
57
🇷🇺   Chelyabinsk, Russia
47.93
82.91
0.64
58
🇮🇩   Medan, Indonesia
47.89
82.85
0.67
59
🇵🇰   Multan, Pakistan
47.44
82.08
0.61
60
🇹🇭   Yala, Thailand
46.79
80.95
0.32
61
🇹🇼   Taipei, Taiwan
45.87
79.36
0.29
62
🇷🇺   Tolyatti, Russia
45.79
79.21
0.73
63
🇷🇺   Kazan, Russia
45.41
78.55
0.62
64
🇹🇭   Samut Sakhon, Thailand
45.14
78.09
0.72
65
🇮🇩   Tangerang, Indonesia
44.74
77.39
0.85
66
44.63
77.20
0.74
67
🇨🇳   Tianjin, China
43.71
75.61
0.31
68
🇷🇺   Barnaul, Russia
43.41
75.10
0.80
69
🇦🇫   Kabul, Afghanistan
43.36
75.02
0.54
70
🇵🇰   Gujranwala, Pakistan
42.77
73.99
0.49
71
🇲🇳   Ulaanbaatar, Mongolia
42.27
73.13
1.17
72
🇷🇺   Novosibirsk, Russia
42.22
73.04
0.60
73
🇨🇳   Suzhou, China
41.87
72.43
0.30
74
🇹🇭   Nonthaburi, Thailand
41.64
72.03
0.29
75
🇻🇳   Hanoi, Vietnam
41.16
71.21
0.69
76
🇷🇺   Krasnodar, Russia
39.79
68.84
0.51
77
🇷🇺   Volgograd, Russia
39.75
68.77
0.67
78
🇹🇯   Dushanbe, Tajikistan
39.69
68.66
1.75
79
🇱🇦   Vientiane, Laos
39.19
67.79
3.74
80
🇨🇳   Shenzhen, China
38.77
67.07
0.26
81
🇵🇰   Faisalabad, Pakistan
38.62
66.82
0.60
82
🇮🇳   Delhi, India
38.22
66.11
0.28
83
🇦🇿   Baku, Azerbaijan
36.50
63.15
0.66
84
🇹🇼   Taichung, Taiwan
35.69
61.74
0.25
85
🇹🇼   Taoyuan, Taiwan
35.63
61.63
0.38
86
🇨🇳   Guangzhou, China
35.51
61.43
0.29
87
🇲🇴   Mação, Macao
34.62
59.89
0.51
88
🇹🇭   Chiang Mai, Thailand
34.62
59.88
0.43
89
🇨🇳   Shanghai, China
33.95
58.73
0.30
90
🇲🇾   Kuala Lumpur, Malaysia
33.75
58.38
0.26
91
33.37
57.74
1.01
92
🇰🇿   Almaty, Kazakhstan
33.03
57.15
0.76
93
33.01
57.11
0.53
94
🇰🇿   Karaganda, Kazakhstan
32.77
56.69
0.51
95
🇷🇺   Saratov, Russia
32.38
56.02
0.56
96
🇮🇳   Jaipur, India
31.80
55.02
0.23
97
🇮🇳   Mumbai, India
31.41
54.33
0.46
98
🇮🇳   Ahmedabad, India
31.29
54.13
0.36
99
🇮🇩   Bekasi, Indonesia
31.24
54.05
0.49
100
🇱🇰   Colombo, Sri Lanka
31.00
53.63
0.97
101
🇰🇿   Shymkent, Kazakhstan
30.29
52.40
0.89
102
🇻🇳   Can Tho, Vietnam
30.16
52.18
1.05
103
🇺🇿   Namangan, Uzbekistan
29.91
51.75
0.51
104
🇺🇿   Fergana, Uzbekistan
29.91
51.75
0.23
105
🇨🇳   Beijing, China
29.48
51.00
0.28
106
🇻🇳   Bien Hoa, Vietnam
28.65
49.56
0.51
107
🇨🇳   Chengdu, China
28.42
49.17
0.25
108
🇻🇳   Da Nang, Vietnam
27.94
48.33
0.67
109
🇮🇳   Lucknow, India
27.20
47.05
0.33
110
🇺🇿   Bukhara, Uzbekistan
26.66
46.13
0.36
111
🇨🇳   Xi'An, China
26.57
45.96
0.30
112
🇷🇺   Makhachkala, Russia
26.54
45.91
0.91
113
🇮🇳   Chennai, India
26.16
45.25
0.19
114
26.10
45.15
0.63
115
🇮🇩   Depok, Indonesia
25.55
44.19
0.20
116
24.65
42.64
0.63
117
🇲🇾   Johor Bahru, Malaysia
24.30
42.04
0.41
118
🇮🇩   Bandung, Indonesia
24.07
41.63
0.69
119
🇲🇾   Klang, Malaysia
24.00
41.52
0.40
120
23.82
41.21
0.22
121
🇻🇳   Haiphong, Vietnam
23.51
40.68
0.54
122
🇰🇿   Aktobe, Kazakhstan
23.43
40.54
1.02
123
🇮🇳   Bengaluru, India
22.64
39.17
0.17
124
🇳🇵   Kathmandu, Nepal
22.23
38.45
0.62
125
🇺🇿   Tashkent, Uzbekistan
22.12
38.27
0.94
126
🇲🇾   Malacca, Malaysia
21.77
37.67
127
🇮🇳   Hyderabad, India
21.70
37.54
0.18
128
🇮🇳   Kolkata, India
20.82
36.03
0.25
129
🇨🇳   Chongqing, China
20.73
35.86
0.25
130
🇻🇳   Hải Dương, Vietnam
20.23
35.00
0.52
131
🇧🇩   Dhaka, Bangladesh
19.85
34.33
0.36
132
🇮🇳   Surat, India
19.67
34.03
1.35
133
🇰🇬   Bishkek, Kyrgyzstan
19.46
33.66
1.06
134
🇺🇿   Samarkand, Uzbekistan
19.38
33.52
0.70
135
🇦🇿   Sumqayit, Azerbaijan
18.10
31.32
0.56
136
🇧🇩   Narsingdi, Bangladesh
16.27
28.14
0.20
137
🇧🇩   Gazipur, Bangladesh
16.08
27.83
0.40
138
🇹🇭   Samut Prakan, Thailand
16.01
27.70
0.37
139
🇧🇩   Chattogram, Bangladesh
14.44
24.97
0.30
140
🇺🇿   Nukus, Uzbekistan
11.48
19.86
1.36
141
🇧🇩   Noakhali, Bangladesh
9.43
16.32
0.07
142
6.90
11.94
0.70

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