Bot Protection

Please confirm you are not a robot

Main menu

2025 - Cities With The Lowest 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 lowest 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

Better goes first

Street litter index

The more the worse

Quality of life index

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

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