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Cost of living index > Cheapest cities in Asia by cost of living

2025 - Cheapest Cities In Asia By Cost Of Living

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Top Cheapest cities in Asia to live in 2025

Descending rankings:

Most expensive cities in Asia to live in

Rankings

Most expensive cities in Asia to live in Cities with the most expensive restaurant prices in Asia Cities with the most expensive food basket in Asia Cities with the most expensive transportation services in Asia Cities with the most expensive gasoline in Asia Cities with the most expensive education in Asia

Ascending rankings:

Cheapest cities in Asia to live in

Rankings

Cheapest cities in Asia to live in Cities with the cheapest restaurant prices in Asia Cities with the cheapest food basket in Asia Cities with the cheapest transportation services in Asia Cities with the cheapest gasoline in Asia Cities with the cheapest education in Asia

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Ranking

Indicators

#

Place

Cities

Asian ranking

Cost of living index

The cheapest first

Purchasing power index

Comparable to New York

Rent to salary ratio

Rent/Salary
🏅 1
🇧🇩   Noakhali, Bangladesh
7.72
0.97
0.07
🥈 2
🇧🇩   Narsingdi, Bangladesh
8.35
0.63
0.20
🥉 3
🇵🇰   Gujranwala, Pakistan
9.64
0.34
0.49
4
🇧🇩   Gazipur, Bangladesh
10.39
0.28
0.40
5
🇵🇰   Faisalabad, Pakistan
10.53
0.33
0.60
6
10.93
0.75
0.22
7
🇵🇰   Peshawar, Pakistan
11.20
0.30
0.69
8
🇮🇩   Depok, Indonesia
11.21
0.70
0.20
9
🇧🇩   Chattogram, Bangladesh
11.36
0.40
0.30
10
🇮🇩   Sidoarjo, Indonesia
11.38
0.30
0.64
11
🇵🇰   Multan, Pakistan
11.72
0.30
0.61
12
🇵🇰   Rawalpindi, Pakistan
11.89
0.25
0.86
13
🇺🇿   Namangan, Uzbekistan
11.92
0.56
0.51
14
🇻🇳   Bien Hoa, Vietnam
12.24
0.48
0.51
15
🇻🇳   Can Tho, Vietnam
12.41
0.22
1.05
16
🇮🇳   Kolkata, India
12.66
0.63
0.25
17
🇧🇩   Dhaka, Bangladesh
12.69
0.37
0.36
18
🇵🇰   Quetta, Pakistan
12.70
0.14
2.10
19
🇮🇳   Jaipur, India
13.28
0.77
0.23
20
🇺🇿   Bukhara, Uzbekistan
13.31
0.67
0.36
21
🇵🇰   Karachi, Pakistan
13.42
0.21
1.21
22
🇮🇳   Lucknow, India
13.48
0.56
0.33
23
🇵🇰   Lahore, Pakistan
13.61
0.23
1.02
24
🇮🇩   Bandung, Indonesia
13.65
0.30
0.69
25
🇳🇵   Kathmandu, Nepal
13.70
0.28
0.62
26
🇷🇺   Saratov, Russia
14.02
0.54
0.56
27
14.04
0.29
0.63
28
🇰🇿   Aktobe, Kazakhstan
14.14
0.28
1.02
29
🇷🇺   Volgograd, Russia
14.30
0.43
0.67
30
🇺🇿   Samarkand, Uzbekistan
14.32
0.36
0.70
31
🇮🇳   Chennai, India
14.40
1.02
0.19
32
🇮🇩   Medan, Indonesia
14.45
0.33
0.67
33
🇷🇺   Chelyabinsk, Russia
14.48
0.51
0.64
34
🇷🇺   Ufa, Russia
14.53
0.60
0.53
35
🇷🇺   Tolyatti, Russia
14.55
0.47
0.73
36
🇦🇫   Kabul, Afghanistan
14.61
0.30
0.54
37
🇷🇺   Omsk, Russia
14.76
0.60
0.53
38
🇮🇩   Bekasi, Indonesia
14.98
0.49
0.49
39
🇮🇳   Ahmedabad, India
15.09
0.60
0.36
40
🇵🇭   Bulakan, Philippines
15.15
0.38
0.66
41
🇮🇳   Hyderabad, India
15.21
1.11
0.18
42
🇰🇿   Shymkent, Kazakhstan
15.35
0.34
0.89
43
🇰🇿   Karaganda, Kazakhstan
15.38
0.56
0.51
44
🇷🇺   Krasnodar, Russia
15.44
0.61
0.51
45
🇹🇭   Kalasin, Thailand
15.54
0.37
0.60
46
15.64
0.34
0.70
47
🇦🇿   Sumqayit, Azerbaijan
15.67
0.49
0.56
48
🇮🇩   Tangerang, Indonesia
15.68
0.33
0.85
49
🇷🇺   Barnaul, Russia
15.69
0.44
0.80
50
🇻🇳   Hải Dương, Vietnam
15.76
0.49
0.52
51
🇮🇩   Surabaya, Indonesia
15.79
0.37
0.73
52
🇷🇺   Makhachkala, Russia
15.82
0.37
0.91
53
🇻🇳   Da Nang, Vietnam
16.05
0.48
0.67
54
🇵🇭   Batangas, Philippines
16.09
0.18
1.46
55
🇻🇳   Haiphong, Vietnam
16.10
0.61
0.54
56
16.19
0.59
0.56
57
🇮🇳   Delhi, India
16.24
0.85
0.28
58
🇨🇳   Chongqing, China
16.26
0.86
0.25
59
🇷🇺   Kazan, Russia
16.30
0.58
0.62
60
🇮🇳   Bengaluru, India
16.33
1.28
0.17
61
🇷🇺   Novosibirsk, Russia
16.42
0.54
0.60
62
🇨🇳   Chengdu, China
16.43
0.86
0.25
63
16.46
0.41
0.53
64
🇹🇭   Yala, Thailand
16.54
0.72
0.32
65
🇦🇫   Herat, Afghanistan
16.57
0.17
1.29
66
🇹🇯   Dushanbe, Tajikistan
17.00
0.16
1.75
67
🇷🇺   Yekaterinburg, Russia
17.02
0.55
0.63
68
🇹🇭   Samut Prakan, Thailand
17.17
0.61
0.37
69
🇲🇾   Klang, Malaysia
17.48
0.81
0.40
70
🇨🇳   Xi'An, China
17.49
0.79
0.30
71
🇻🇳   Hanoi, Vietnam
17.68
0.47
0.69
72
🇷🇺   Irkutsk, Russia
17.68
0.50
0.71
73
🇺🇿   Fergana, Uzbekistan
17.71
1.03
0.23
74
18.16
0.44
0.62
75
18.25
0.46
0.74
76
🇺🇿   Nukus, Uzbekistan
18.76
0.11
1.36
77
🇷🇺   Khabarovsk, Russia
18.79
0.56
0.62
78
🇱🇰   Colombo, Sri Lanka
18.86
0.20
0.97
79
🇰🇬   Bishkek, Kyrgyzstan
18.94
0.32
1.06
80
🇷🇺   Vladivostok, Russia
19.18
0.51
0.72
81
🇲🇾   Johor Bahru, Malaysia
19.18
0.82
0.41
82
🇨🇳   Tianjin, China
19.24
0.82
0.31
83
🇦🇿   Baku, Azerbaijan
19.24
0.42
0.66
84
🇹🇭   Chiang Mai, Thailand
19.25
0.59
0.43
85
🇹🇼   Tainan, Taiwan
19.31
1.14
0.20
86
🇮🇩   Jakarta, Indonesia
19.33
0.51
0.62
87
🇹🇭   Nonthaburi, Thailand
19.56
0.72
0.29
88
🇵🇭   Caloocan, Philippines
19.83
0.24
1.44
89
🇵🇭   Cebu City, Philippines
19.98
0.38
0.75
90
🇨🇳   Wuhan, China
20.13
0.78
0.36
91
20.35
0.71
0.52
92
20.36
0.45
0.61
93
🇲🇾   Kuala Lumpur, Malaysia
20.43
1.21
0.26
94
🇷🇺   Rostov-on-Don, Russia
20.80
0.44
0.87
95
🇰🇿   Almaty, Kazakhstan
21.15
0.50
0.76
96
🇨🇳   Guangzhou, China
21.46
0.95
0.29
97
🇨🇳   Suzhou, China
21.48
0.74
0.30
98
🇹🇼   Taichung, Taiwan
21.52
1.03
0.25
99
🇺🇿   Tashkent, Uzbekistan
21.60
0.39
0.94
100
🇵🇭   Manila, Philippines
21.62
0.40
0.73
101
🇰🇭   Phnom Penh, Cambodia
22.01
0.27
1.11
102
🇮🇳   Mumbai, India
22.58
0.72
0.46
103
🇹🇼   Kaohsiung, Taiwan
22.70
0.86
0.33
104
🇹🇼   Taoyuan, Taiwan
23.00
0.75
0.38
105
🇵🇭   Taguig, Philippines
23.58
0.38
0.83
106
🇯🇵   Saitama, Japan
23.64
1.16
0.21
107
🇹🇭   Bangkok, Thailand
23.82
0.54
0.54
108
🇰🇷   Ulsan, South Korea
24.01
1.67
0.15
109
🇹🇭   Samut Sakhon, Thailand
24.08
0.50
0.72
110
🇲🇳   Ulaanbaatar, Mongolia
24.24
0.30
1.17
111
🇮🇳   Surat, India
24.38
0.30
1.35
112
🇰🇷   Suwon-si, South Korea
24.83
1.73
0.17
113
🇨🇳   Shenzhen, China
25.40
1.21
0.26
114
🇯🇵   Kobe, Japan
25.69
1.01
0.27
115
🇰🇷   Daejeon, South Korea
26.03
1.31
0.22
116
🇨🇳   Beijing, China
26.25
1.17
0.28
117
🇹🇼   Taipei, Taiwan
26.35
1.16
0.29
118
🇯🇵   Kyoto, Japan
27.00
1.03
0.25
119
🇨🇳   Shanghai, China
27.28
1.15
0.30
120
🇰🇷   Gwangju, South Korea
27.37
1.24
0.23
121
🇰🇷   Busan, South Korea
27.58
1.32
0.21
122
🇷🇺   Moscow, Russia
27.78
0.86
0.49
123
🇯🇵   Nagoya, Japan
28.31
1.33
0.22
124
🇯🇵   Osaka, Japan
28.33
1.12
0.27
125
🇰🇷   Incheon, South Korea
28.58
1.42
0.21
126
🇰🇷   Daegu, South Korea
28.99
1.35
0.22
127
🇹🇭   Phuket, Thailand
29.47
0.44
0.77
128
🇯🇵   Yokohama, Japan
29.80
1.31
0.24
129
🇯🇵   Sapporo, Japan
30.22
0.74
0.45
130
🇯🇵   Kawasaki, Japan
32.38
1.39
0.22
131
🇰🇷   Seoul, South Korea
32.92
1.37
0.25
132
🇲🇴   Mação, Macao
33.11
0.78
0.51
133
🇱🇦   Vientiane, Laos
34.70
0.12
3.74
134
🇯🇵   Tokyo, Japan
34.80
1.11
0.30
135
🇲🇻   Malé, Maldives
38.56
0.48
0.77
136
🇹🇱   Dili, Timor-Leste
41.98
1.26
0.32
137
47.37
0.20
0.63
138
48.19
0.09
1.01
139
🇹🇲   Ashgabat, Turkmenistan
63.11
0.19
1.84
140
🇭🇰   Hong Kong, Hong Kong
73.47
0.91
0.47
141
🇸🇬   Singapore, Singapore
82.53
0.89
0.53

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