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2025 - Cities With The Most Expensive Restaurant Prices In Asia

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Top Cities with the most expensive restaurant prices in Asia 2025

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Ranking

Indicators

#

Place

Cities

Asian ranking

Restaurant prices index

Most expensive first

Price of a hamburger

US Dollars, $

Cost of living index

The more, the higher prices
🏅 1
122.38
47.37
🥈 2
🇹🇲   Ashgabat, Turkmenistan
96.78
6.70
63.11
🥉 3
🇸🇬   Singapore, Singapore
57.05
3.48
82.53
4
🇭🇰   Hong Kong, Hong Kong
53.88
3.01
73.47
5
🇺🇿   Fergana, Uzbekistan
41.26
2.02
17.71
6
🇰🇷   Seoul, South Korea
40.98
2.91
32.92
7
🇷🇺   Moscow, Russia
40.76
2.58
27.78
8
🇯🇵   Kyoto, Japan
40.08
2.21
27.00
9
🇯🇵   Tokyo, Japan
39.59
2.72
34.80
10
🇰🇷   Gwangju, South Korea
39.16
2.57
27.37
11
🇦🇿   Baku, Azerbaijan
39.08
3.65
19.24
12
🇰🇷   Daegu, South Korea
38.43
2.95
28.99
13
🇰🇷   Incheon, South Korea
38.25
3.18
28.58
14
🇰🇷   Busan, South Korea
38.15
2.76
27.58
15
🇲🇻   Malé, Maldives
38.08
4.55
38.56
16
🇯🇵   Sapporo, Japan
37.52
2.28
30.22
17
🇨🇳   Suzhou, China
36.98
2.84
21.48
18
🇹🇱   Dili, Timor-Leste
36.43
3.82
41.98
19
🇯🇵   Yokohama, Japan
36.02
2.38
29.80
20
🇰🇷   Daejeon, South Korea
35.31
2.53
26.03
21
🇲🇴   Mação, Macao
34.27
2.36
33.11
22
🇯🇵   Kawasaki, Japan
34.18
2.00
32.38
23
🇰🇷   Ulsan, South Korea
33.95
2.55
24.01
24
🇰🇿   Shymkent, Kazakhstan
33.94
3.51
15.35
25
🇺🇿   Nukus, Uzbekistan
33.75
3.50
18.76
26
🇯🇵   Osaka, Japan
33.70
2.33
28.33
27
🇰🇿   Karaganda, Kazakhstan
33.62
2.98
15.38
28
🇹🇭   Phuket, Thailand
33.48
3.90
29.47
29
🇨🇳   Shanghai, China
33.47
2.55
27.28
30
🇰🇷   Suwon-si, South Korea
33.28
2.53
24.83
31
🇨🇳   Beijing, China
32.99
2.92
26.25
32
🇰🇿   Almaty, Kazakhstan
32.92
3.54
21.15
33
🇯🇵   Nagoya, Japan
32.33
2.61
28.31
34
🇷🇺   Khabarovsk, Russia
32.00
1.86
18.79
35
31.79
2.28
20.35
36
🇲🇾   Kuala Lumpur, Malaysia
31.68
2.13
20.43
37
🇹🇼   Taipei, Taiwan
31.16
2.57
26.35
38
🇨🇳   Tianjin, China
30.83
2.89
19.24
39
🇷🇺   Vladivostok, Russia
30.76
2.04
19.18
40
🇷🇺   Yekaterinburg, Russia
30.63
2.04
17.02
41
🇷🇺   Rostov-on-Don, Russia
30.33
3.06
20.80
42
🇲🇳   Ulaanbaatar, Mongolia
29.97
2.67
24.24
43
🇹🇼   Tainan, Taiwan
29.77
2.17
19.31
44
29.63
2.05
16.19
45
🇰🇿   Aktobe, Kazakhstan
29.55
4.68
14.14
46
🇰🇭   Phnom Penh, Cambodia
29.25
3.73
22.01
47
🇷🇺   Krasnodar, Russia
29.17
1.93
15.44
48
🇨🇳   Guangzhou, China
29.15
2.56
21.46
49
🇯🇵   Saitama, Japan
28.98
2.08
23.64
50
🇯🇵   Kobe, Japan
28.85
2.03
25.69
51
🇹🇼   Taoyuan, Taiwan
28.66
2.68
23.00
52
🇷🇺   Volgograd, Russia
28.45
1.93
14.30
53
🇷🇺   Novosibirsk, Russia
28.37
2.04
16.42
54
🇨🇳   Shenzhen, China
28.05
2.55
25.40
55
🇹🇼   Taichung, Taiwan
28.03
2.21
21.52
56
🇦🇿   Sumqayit, Azerbaijan
27.93
2.27
15.67
57
🇹🇼   Kaohsiung, Taiwan
27.61
2.61
22.70
58
🇷🇺   Kazan, Russia
27.50
2.06
16.30
59
🇷🇺   Ufa, Russia
27.33
2.35
14.53
60
🇷🇺   Irkutsk, Russia
27.26
2.37
17.68
61
🇱🇰   Colombo, Sri Lanka
27.13
3.79
18.86
62
🇲🇾   Johor Bahru, Malaysia
26.88
2.31
19.18
63
🇻🇳   Hải Dương, Vietnam
26.80
3.65
15.76
64
🇵🇭   Manila, Philippines
26.76
2.02
21.62
65
🇮🇳   Mumbai, India
26.28
2.19
22.58
66
🇷🇺   Omsk, Russia
26.27
2.11
14.76
67
🇹🇭   Bangkok, Thailand
26.27
2.83
23.82
68
🇵🇭   Taguig, Philippines
26.04
1.88
23.58
69
🇺🇿   Tashkent, Uzbekistan
25.86
2.05
21.60
70
🇷🇺   Saratov, Russia
25.79
1.91
14.02
71
🇨🇳   Wuhan, China
25.52
2.45
20.13
72
🇷🇺   Barnaul, Russia
25.36
1.87
15.69
73
🇵🇰   Quetta, Pakistan
25.30
1.33
12.70
74
🇲🇾   Klang, Malaysia
25.14
1.90
17.48
75
🇹🇭   Nonthaburi, Thailand
25.03
2.86
19.56
76
🇨🇳   Xi'An, China
24.97
2.84
17.49
77
🇰🇬   Bishkek, Kyrgyzstan
24.93
2.75
18.94
78
🇹🇯   Dushanbe, Tajikistan
24.91
4.78
17.00
79
🇨🇳   Chengdu, China
24.44
2.48
16.43
80
🇷🇺   Makhachkala, Russia
24.19
1.84
15.82
81
🇮🇩   Jakarta, Indonesia
23.94
1.63
19.33
82
🇷🇺   Tolyatti, Russia
23.85
2.41
14.55
83
🇷🇺   Chelyabinsk, Russia
23.75
2.07
14.48
84
🇮🇳   Delhi, India
23.56
2.13
16.24
85
🇨🇳   Chongqing, China
22.72
2.63
16.26
86
🇮🇳   Bengaluru, India
22.53
2.15
16.33
87
🇵🇰   Karachi, Pakistan
21.89
2.27
13.42
88
21.68
1.28
20.36
89
🇮🇳   Ahmedabad, India
21.54
2.41
15.09
90
🇹🇭   Yala, Thailand
21.40
2.59
16.54
91
🇺🇿   Bukhara, Uzbekistan
21.31
1.98
13.31
92
🇮🇳   Hyderabad, India
21.01
2.19
15.21
93
🇲🇾   Malacca, Malaysia
20.97
1.73
94
🇮🇩   Bekasi, Indonesia
20.97
1.46
14.98
95
🇳🇵   Kathmandu, Nepal
20.91
3.42
13.70
96
20.91
2.49
18.25
97
🇻🇳   Hanoi, Vietnam
20.62
2.82
17.68
98
🇹🇭   Chiang Mai, Thailand
20.40
3.33
19.25
99
🇮🇩   Tangerang, Indonesia
20.39
1.53
15.68
100
20.01
5.13
15.64
101
🇵🇰   Lahore, Pakistan
20.00
2.01
13.61
102
🇹🇭   Samut Prakan, Thailand
19.91
3.85
17.17
103
19.89
1.23
16.46
104
🇮🇩   Surabaya, Indonesia
19.85
1.43
15.79
105
19.76
2.44
48.19
106
🇺🇿   Samarkand, Uzbekistan
19.52
1.91
14.32
107
19.41
1.71
18.16
108
🇧🇩   Chattogram, Bangladesh
19.19
3.17
11.36
109
🇵🇭   Cebu City, Philippines
19.15
1.88
19.98
110
🇮🇳   Chennai, India
19.08
1.98
14.40
111
🇺🇿   Namangan, Uzbekistan
18.99
2.02
11.92
112
🇮🇳   Kolkata, India
18.88
2.48
12.66
113
🇧🇩   Dhaka, Bangladesh
18.85
2.15
12.69
114
🇮🇳   Surat, India
18.78
1.52
24.38
115
🇮🇩   Medan, Indonesia
18.62
1.51
14.45
116
🇵🇰   Rawalpindi, Pakistan
18.25
2.11
11.89
117
🇦🇫   Kabul, Afghanistan
18.16
2.67
14.61
118
🇮🇳   Lucknow, India
18.14
2.29
13.48
119
🇻🇳   Haiphong, Vietnam
18.09
2.07
16.10
120
🇵🇰   Peshawar, Pakistan
18.08
1.75
11.20
121
🇹🇭   Kalasin, Thailand
17.94
3.84
15.54
122
🇱🇦   Vientiane, Laos
17.79
1.57
34.70
123
🇹🇭   Samut Sakhon, Thailand
17.37
2.70
24.08
124
🇧🇩   Gazipur, Bangladesh
17.37
2.17
10.39
125
🇵🇰   Multan, Pakistan
17.09
2.79
11.72
126
🇻🇳   Da Nang, Vietnam
16.87
2.11
16.05
127
🇻🇳   Can Tho, Vietnam
16.60
1.69
12.41
128
🇮🇳   Jaipur, India
16.37
1.51
13.28
129
🇵🇭   Caloocan, Philippines
16.21
1.42
19.83
130
🇮🇩   Sidoarjo, Indonesia
15.98
1.53
11.38
131
🇮🇩   Depok, Indonesia
15.51
1.48
11.21
132
🇮🇩   Bandung, Indonesia
15.28
1.46
13.65
133
🇻🇳   Bien Hoa, Vietnam
15.02
2.30
12.24
134
🇵🇭   Bulakan, Philippines
14.16
1.31
15.15
135
14.10
1.18
10.93
136
🇵🇰   Faisalabad, Pakistan
13.79
1.71
10.53
137
13.49
1.23
14.04
138
🇵🇭   Batangas, Philippines
13.38
1.25
16.09
139
🇧🇩   Noakhali, Bangladesh
13.35
1.98
7.72
140
🇵🇰   Gujranwala, Pakistan
13.20
2.46
9.64
141
🇦🇫   Herat, Afghanistan
13.19
2.09
16.57
142
🇧🇩   Narsingdi, Bangladesh
10.15
3.50
8.35

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