Bot Protection

Please confirm you are not a robot

Main menu

2025 - Cities With The Highest Pollution Index 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 highest pollution index 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

Pollution index

Worst goes first

Street litter index

The more the worse

Quality of life index

The less the worse
🏅 1
🇧🇩   Gazipur, Bangladesh
77.76
86.28
15.93
🥈 2
🇮🇳   Delhi, India
68.79
75.56
35.67
🥉 3
🇧🇩   Dhaka, Bangladesh
68.49
85.86
25.09
4
🇵🇰   Gujranwala, Pakistan
68.29
89.74
20.22
5
67.59
93.74
17.58
6
67.23
61.48
35.40
7
🇨🇳   Wuhan, China
67.02
73.17
43.47
8
🇵🇰   Karachi, Pakistan
66.96
86.85
17.88
9
🇳🇵   Kathmandu, Nepal
66.75
84.29
22.36
10
66.25
82.39
22.58
11
🇻🇳   Hanoi, Vietnam
65.82
81.91
24.92
12
🇮🇳   Bengaluru, India
65.82
78.81
44.56
13
🇮🇳   Mumbai, India
65.51
75.95
28.71
14
65.25
74.02
35.01
15
🇵🇭   Manila, Philippines
65.16
77.99
19.39
16
🇵🇰   Quetta, Pakistan
65.16
93.30
18.81
17
🇹🇱   Dili, Timor-Leste
64.81
84.53
46.38
18
🇧🇩   Chattogram, Bangladesh
64.58
78.79
26.84
19
🇵🇰   Lahore, Pakistan
64.15
59.79
21.63
20
🇵🇰   Faisalabad, Pakistan
64.07
77.83
23.41
21
🇵🇭   Taguig, Philippines
63.93
74.63
30.22
22
🇮🇳   Kolkata, India
63.89
70.41
36.85
23
🇷🇺   Chelyabinsk, Russia
63.81
76.61
30.70
24
🇦🇫   Kabul, Afghanistan
63.71
79.97
15.19
25
🇻🇳   Haiphong, Vietnam
63.17
66.87
37.80
26
🇵🇭   Cebu City, Philippines
62.65
75.69
27
🇱🇦   Vientiane, Laos
62.62
86.98
39.23
28
🇲🇳   Ulaanbaatar, Mongolia
62.39
80.56
31.23
29
🇮🇳   Lucknow, India
62.31
73.07
33.62
30
🇷🇺   Saratov, Russia
62.16
91.60
30.85
31
🇮🇩   Jakarta, Indonesia
61.98
77.78
30.96
32
61.89
71.06
28.15
33
🇮🇩   Sidoarjo, Indonesia
61.87
66.63
24.84
34
🇨🇳   Xi'An, China
61.74
51.67
45.54
35
🇹🇼   Taichung, Taiwan
61.71
51.97
50.39
36
🇲🇾   Klang, Malaysia
61.66
68.65
43.52
37
🇷🇺   Volgograd, Russia
61.62
69.68
24.99
38
🇵🇭   Caloocan, Philippines
61.32
67.87
26.32
39
🇨🇳   Guangzhou, China
60.79
55.12
42.81
40
🇹🇼   Kaohsiung, Taiwan
60.60
34.16
49.42
41
🇰🇭   Phnom Penh, Cambodia
60.55
75.72
21.69
42
🇮🇳   Chennai, India
60.27
71.82
45.65
43
🇰🇿   Almaty, Kazakhstan
60.20
70.28
25.72
44
🇮🇳   Hyderabad, India
60.16
67.41
46.15
45
🇦🇫   Herat, Afghanistan
60.12
85.75
24.09
46
🇷🇺   Ufa, Russia
59.75
68.15
28.64
47
🇨🇳   Chongqing, China
59.70
56.81
51.47
48
🇲🇻   Malé, Maldives
59.59
72.59
38.08
49
🇮🇩   Bandung, Indonesia
59.44
73.43
39.48
50
🇵🇰   Rawalpindi, Pakistan
59.24
68.28
24.10
51
🇨🇳   Beijing, China
59.15
58.51
48.78
52
🇷🇺   Rostov-on-Don, Russia
59.08
68.09
32.19
53
🇹🇭   Kalasin, Thailand
58.81
67.91
31.07
54
🇵🇰   Multan, Pakistan
58.79
74.36
41.53
55
🇰🇬   Bishkek, Kyrgyzstan
58.63
60.52
26.76
56
🇮🇳   Ahmedabad, India
58.37
64.78
43.20
57
🇷🇺   Yekaterinburg, Russia
58.34
52.80
31.67
58
🇮🇩   Medan, Indonesia
58.11
80.86
35.18
59
🇷🇺   Omsk, Russia
57.85
73.53
31.24
60
🇦🇿   Baku, Azerbaijan
57.71
65.49
36.74
61
🇵🇰   Peshawar, Pakistan
57.47
63.98
35.35
62
🇹🇭   Bangkok, Thailand
57.41
60.36
35.31
63
🇰🇿   Shymkent, Kazakhstan
57.23
41.01
25.35
64
🇨🇳   Tianjin, China
56.99
55.81
45.26
65
🇻🇳   Can Tho, Vietnam
56.26
47.53
34.79
66
🇹🇭   Chiang Mai, Thailand
55.46
50.77
47.06
67
🇨🇳   Shenzhen, China
55.23
49.22
51.30
68
🇨🇳   Shanghai, China
54.89
46.91
48.93
69
🇷🇺   Novosibirsk, Russia
54.89
74.36
32.74
70
🇲🇾   Kuala Lumpur, Malaysia
54.83
53.22
52.78
71
🇨🇳   Chengdu, China
54.76
55.19
52.39
72
🇮🇩   Depok, Indonesia
54.73
46.34
42.70
73
🇹🇭   Samut Prakan, Thailand
54.66
50.76
37.69
74
🇰🇷   Ulsan, South Korea
54.56
44.41
65.43
75
🇷🇺   Kazan, Russia
54.52
53.70
29.56
76
🇻🇳   Hải Dương, Vietnam
54.28
50.73
42.80
77
🇲🇴   Mação, Macao
54.12
68.61
49.77
78
🇹🇯   Dushanbe, Tajikistan
53.88
60.06
27.10
79
🇷🇺   Vladivostok, Russia
53.88
60.70
25.84
80
🇱🇰   Colombo, Sri Lanka
53.79
59.99
26.81
81
53.78
61.36
32.12
82
🇨🇳   Suzhou, China
53.75
33.47
48.97
83
🇮🇳   Jaipur, India
53.71
55.56
48.40
84
🇹🇭   Nonthaburi, Thailand
53.55
50.88
42.40
85
🇹🇼   Tainan, Taiwan
53.47
41.66
63.80
86
🇹🇭   Phuket, Thailand
53.33
60.79
35.48
87
🇰🇿   Aktobe, Kazakhstan
53.09
76.31
37.41
88
🇻🇳   Bien Hoa, Vietnam
53.02
41.67
39.45
89
🇮🇩   Tangerang, Indonesia
52.90
47.49
36.78
90
🇲🇾   Johor Bahru, Malaysia
52.86
58.78
48.11
91
🇰🇿   Karaganda, Kazakhstan
52.78
59.35
44.83
92
🇹🇭   Yala, Thailand
52.67
50.88
46.28
93
🇭🇰   Hong Kong, Hong Kong
52.34
49.37
50.69
94
🇷🇺   Barnaul, Russia
52.22
41.01
30.40
95
🇹🇭   Samut Sakhon, Thailand
51.95
51.55
42.52
96
🇻🇳   Da Nang, Vietnam
51.55
56.93
44.05
97
🇺🇿   Namangan, Uzbekistan
51.34
41.51
44.51
98
51.21
41.34
48.88
99
🇰🇷   Busan, South Korea
50.96
48.24
56.63
100
🇦🇿   Sumqayit, Azerbaijan
50.73
40.36
46.73
101
🇷🇺   Tolyatti, Russia
50.50
46.46
35.35
102
50.28
66.57
103
🇺🇿   Fergana, Uzbekistan
50.20
42.38
44.82
104
🇮🇩   Surabaya, Indonesia
50.17
47.57
31.57
105
🇮🇩   Bekasi, Indonesia
50.12
68.61
36.04
106
🇷🇺   Krasnodar, Russia
49.66
51.81
36.96
107
🇷🇺   Makhachkala, Russia
49.15
76.67
37.82
108
🇺🇿   Nukus, Uzbekistan
48.87
41.34
34.94
109
48.68
50.46
110
🇺🇿   Tashkent, Uzbekistan
48.36
55.43
30.09
111
🇷🇺   Moscow, Russia
48.15
43.23
35.92
112
🇷🇺   Irkutsk, Russia
48.04
68.65
33.66
113
🇰🇷   Daegu, South Korea
47.87
25.84
51.06
114
47.85
30.62
44.93
115
🇷🇺   Khabarovsk, Russia
46.58
43.94
40.63
116
🇰🇷   Seoul, South Korea
46.56
36.57
52.13
117
🇹🇼   Taipei, Taiwan
46.43
22.26
58.04
118
🇮🇳   Surat, India
46.26
33.75
43.64
119
🇰🇷   Daejeon, South Korea
45.46
32.99
63.59
120
🇰🇷   Incheon, South Korea
44.23
29.56
58.99
121
🇹🇼   Taoyuan, Taiwan
42.99
25.34
51.07
122
🇵🇭   Bulakan, Philippines
42.65
47.87
123
🇲🇾   Malacca, Malaysia
42.56
42.88
124
🇵🇭   Batangas, Philippines
42.25
43.91
125
🇯🇵   Osaka, Japan
41.37
31.41
66.08
126
🇺🇿   Bukhara, Uzbekistan
40.12
41.51
50.81
127
🇰🇷   Suwon-si, South Korea
39.95
19.03
61.31
128
🇯🇵   Tokyo, Japan
39.87
30.93
64.22
129
🇰🇷   Gwangju, South Korea
39.71
31.67
59.88
130
🇺🇿   Samarkand, Uzbekistan
39.43
29.64
37.10
131
🇸🇬   Singapore, Singapore
39.02
24.31
54.79
132
38.72
32.08
36.08
133
🇯🇵   Kyoto, Japan
38.67
33.24
67.49
134
🇹🇲   Ashgabat, Turkmenistan
38.40
25.38
32.21
135
🇯🇵   Saitama, Japan
37.90
26.67
66.60
136
🇯🇵   Sapporo, Japan
36.31
28.07
64.62
137
🇯🇵   Yokohama, Japan
34.34
13.38
72.99
138
🇯🇵   Kobe, Japan
33.35
15.09
68.30
139
🇯🇵   Kawasaki, Japan
33.18
23.71
68.08
140
🇯🇵   Nagoya, Japan
28.25
13.13
72.22

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