SmogRank / History / March 29, 2026

Most polluted cities on March 29, 2026

2,324 cities ranked by their average PM2.5 over the day. Each city's own local calendar day.

#City µg/m³× WHO
1Belagavi Karnataka, India
227.015.1×
2Gurugram Haryana, India
147.09.8×
3Chiang Mai low-cost sensors Chiang Mai, Thailand
143.59.6×
4Narela Delhi, India
102.06.8×
5Faridabad Haryana, India
101.76.8×
6Changchun low-cost sensors Jilin, China
97.36.5×
7Dādri Uttar Pradesh, India
95.96.4×
8Muzaffarnagar Uttar Pradesh, India
94.66.3×
9Dhaka low-cost sensors Dhaka Division, Bangladesh
89.96.0×
10Singrauli Madhya Pradesh, India
88.35.9×
11Bāghpat Uttar Pradesh, India
85.55.7×
12Noida Uttar Pradesh, India
83.65.6×
13Kaithal Haryana, India
81.75.4×
14Bhiwāni Haryana, India
79.55.3×
15Malegaon Maharashtra, India
78.85.3×
16Ghāziābād Uttar Pradesh, India
78.45.2×
16Delhi Delhi, India
78.45.2×
18Burunday low-cost sensors Almaty Region, Kazakhstan
77.75.2×
19Sonīpat Haryana, India
74.14.9×
20Yamuna Nagar Haryana, India
73.44.9×
21Dera Māndi Delhi, India
71.44.8×
22Joda Odisha, India
70.64.7×
23Otegen Batyra low-cost sensors Almaty Region, Kazakhstan
70.44.7×
24Uttaradit low-cost sensors Uttaradit, Thailand
68.54.6×
25Sirsa Haryana, India
64.94.3×
26Najafgarh Delhi, India
63.94.3×
26Bhiwadi Rajasthan, India
63.94.3×
28Greater Noida Uttar Pradesh, India
63.24.2×
29Jīnd Haryana, India
63.14.2×
30Vientiane low-cost sensors Vientiane Prefecture, Laos
62.74.2×
31Hāpur Uttar Pradesh, India
61.44.1×
32Lucknow Uttar Pradesh, India
58.53.9×
33Keonjhargarh Odisha, India
57.63.8×
34Mahād Maharashtra, India
57.33.8×
35Dhule Maharashtra, India
56.53.8×
36Talghar low-cost sensors Almaty Region, Kazakhstan
56.43.8×
37Barbil Odisha, India
56.03.7×
38Karnāl Haryana, India
55.93.7×
39Thānesar Haryana, India
54.03.6×
40Tirumala Andhra Pradesh, India
53.93.6×
41Kanpur Uttar Pradesh, India
53.33.6×
41Gummidipundi Tamil Nadu, India
53.33.6×
41Angul Odisha, India
53.33.6×
44Kojomkul low-cost sensors Chuy Region, Kyrgyzstan
51.43.4×
45Kadapa Andhra Pradesh, India
50.83.4×
46Chānda Maharashtra, India
50.73.4×
47Rourkela Odisha, India
50.53.4×
48Bishkek low-cost sensors Bishkek, Kyrgyzstan
50.33.4×
49Chrang Chamreh Muoy low-cost sensors Phnom Penh, Cambodia
50.23.3×
50Wadgaon Kolhati Maharashtra, India
49.93.3×
51Faisalabad low-cost sensors Punjab, Pakistan
49.73.3×
52Almaty low-cost sensors Almaty, Kazakhstan
49.03.3×
53Kampala low-cost sensors Central Region, Uganda
48.53.2×
54Bhelai Chhattisgarh, India
47.93.2×
55Jaipur Rajasthan, India
47.83.2×
56Gwalior Madhya Pradesh, India
45.63.0×
57Debrecen low-cost sensors Hajdú-Bihar, Hungary
45.33.0×
58Rēzekne Rēzekne, Latvia
45.13.0×
59Byasanagar Odisha, India
44.83.0×
60Bahawalpur low-cost sensors Punjab, Pakistan
44.73.0×
61Chittoor Andhra Pradesh, India
44.53.0×
62Ambāla Haryana, India
43.92.9×
63Hājīpur Bihar, India
42.42.8×
64Sholapur Maharashtra, India
42.22.8×
65Minamata Kumamoto, Japan
41.52.8×
66Kagoshima Kagoshima, Japan
41.12.7×
67Kan’onjichō Kagawa, Japan
40.92.7×
68Yadgir Karnataka, India
40.42.7×
68Togitsu Nagasaki, Japan
40.42.7×
68Victoria de Durango Durango, Mexico
40.42.7×
71Hyderabad Telangana, India
40.02.7×
72Kathmandu low-cost sensors Bagmati Province, Nepal
39.52.6×
73Nanded Maharashtra, India
39.42.6×
74Daxi Taiwan, Taiwan
39.02.6×
75Ōyanomachi-noboritate Kumamoto, Japan
38.72.6×
76Fukuyama Hiroshima, Japan
38.32.6×
77Prayagraj Uttar Pradesh, India
38.02.5×
77Shulin Taipei, Taiwan
38.02.5×
77Uto Kumamoto, Japan
38.02.5×
80Ropar Punjab, India
37.82.5×
81Neili Taiwan, Taiwan
37.72.5×
81Minamikyushu Kagoshima, Japan
37.72.5×
83Morādābād Uttar Pradesh, India
37.12.5×
83Hondomachi-hondo Kumamoto, Japan
37.12.5×
85Sasebo Nagasaki, Japan
36.82.5×
86Jharia Jharkhand, India
36.72.4×
87Anantapur Andhra Pradesh, India
36.32.4×
88Hirosaki Aomori, Japan
35.82.4×
89Uekimachi-mōno Kumamoto, Japan
35.72.4×
89Shin’ichi Hiroshima, Japan
35.72.4×
91Żywiec Silesia, Poland
35.32.4×
91Łask Łódź Voivodeship, Poland
35.32.4×
93Tirupati Andhra Pradesh, India
35.12.3×
94Kumamoto Kumamoto, Japan
35.02.3×
95Arāria Bihar, India
34.92.3×
95Taipei Taiwan, Taiwan
34.92.3×
97Āsansol West Bengal, India
34.82.3×
98Latur Maharashtra, India
34.62.3×
98Hagi Yamaguchi, Japan
34.62.3×
100Jalgaon Maharashtra, India
34.52.3×
100Izumi Kagoshima, Japan
34.52.3×
102Onomichi Hiroshima, Japan
34.42.3×
103Rājgīr Bihar, India
34.32.3×
103Nagasaki Nagasaki, Japan
34.32.3×
105Krosno Subcarpathia, Poland
34.22.3×
105Vijayawada Andhra Pradesh, India
34.22.3×
107Taoyuan Taiwan, Taiwan
34.12.3×
108Gujranwala low-cost sensors Punjab, Pakistan
34.02.3×
108Miyakonojō Miyazaki, Japan
34.02.3×
110Lebedinovka low-cost sensors Chuy Region, Kyrgyzstan
33.82.3×
111Jalandhar Punjab, India
33.72.2×
111Buxar Bihar, India
33.72.2×
113Douliu Taiwan, Taiwan
33.62.2×
114Multan low-cost sensors Punjab, Pakistan
33.42.2×
114Khlong Luang low-cost sensors Pathum Thani, Thailand
33.42.2×
114Amaravati Andhra Pradesh, India
33.42.2×
117Jincheng Fukien, Taiwan
33.32.2×
118Miyazaki Miyazaki, Japan
33.12.2×
118Maebaru-chūō Fukuoka, Japan
33.12.2×
118Hiji Oita, Japan
33.12.2×
118Imabari Ehime, Japan
33.12.2×
122Rānīganj West Bengal, India
33.02.2×
122Buzi Taiwan, Taiwan
33.02.2×
124Hsinchu Taiwan, Taiwan
32.92.2×
124Iloilo low-cost sensors Western Visayas, Philippines
32.92.2×
126San Luis Potosí San Luis Potosí, Mexico
32.72.2×
126Arao Kumamoto, Japan
32.72.2×
128Miaoli Taiwan, Taiwan
32.62.2×
129Xizhi Taipei, Taiwan
32.52.2×
129Ōmura Nagasaki, Japan
32.52.2×
131Rzeszów Subcarpathia, Poland
32.42.2×
132Lahore low-cost sensors Punjab, Pakistan
32.32.2×
132Zhushan Taiwan, Taiwan
32.32.2×
132Ōmuta Fukuoka, Japan
32.32.2×
132Aomori Aomori, Japan
32.32.2×
132Serilingampalle Telangana, India
32.32.2×
137Onoda Yamaguchi, Japan
32.22.1×
138Niihama Ehime, Japan
32.12.1×
138Saijō Ehime, Japan
32.12.1×
140Isahaya Nagasaki, Japan
32.02.1×
141Toufen Taiwan, Taiwan
31.92.1×
141Takamatsu Kagawa, Japan
31.92.1×
143Yuanlin Taiwan, Taiwan
31.82.1×
143Kanoya Kagoshima, Japan
31.82.1×
145Nantou Taiwan, Taiwan
31.62.1×
145Kotō Kumamoto, Japan
31.62.1×
147Zhubei Taiwan, Taiwan
31.52.1×
147Fukuoka Fukuoka, Japan
31.52.1×
147New Taipei City Taipei, Taiwan
31.52.1×
150Zhudong Taiwan, Taiwan
31.42.1×
150Kaseda-shirakame Kagoshima, Japan
31.42.1×
152Hitoyoshi Kumamoto, Japan
31.32.1×
152Santa Anita - Los Ficus Lima region, Peru
31.32.1×
154Keelung Taiwan, Taiwan
31.22.1×
154Shido Kagawa, Japan
31.22.1×
154Kushikino Kagoshima, Japan
31.22.1×
154Matsuyama Ehime, Japan
31.22.1×
158Tamana Kumamoto, Japan
30.92.1×
158Hakodate Hokkaido, Japan
30.92.1×
160Kasaoka Okayama, Japan
30.82.1×
161Closepet Karnataka, India
30.72.0×
161Nashik Maharashtra, India
30.72.0×
161Beppu Oita, Japan
30.72.0×
164Miyazu Kyoto, Japan
30.62.0×
165Jabalpur Madhya Pradesh, India
30.52.0×
165Xizhou Taiwan, Taiwan
30.52.0×
165Honmachi Kumamoto, Japan
30.52.0×
168Jammu low-cost sensors Jammu and Kashmir, India
30.42.0×
169Kurashiki Okayama, Japan
30.32.0×
169Takashima Shiga, Japan
30.32.0×
169Chikugo Fukuoka, Japan
30.32.0×
172Changhua Taiwan, Taiwan
30.22.0×
172Higashihiroshima Hiroshima, Japan
30.22.0×
172Shikokuchūō Ehime, Japan
30.22.0×
175Nichinan Miyazaki, Japan
30.12.0×
175Sai Mai low-cost sensors Bangkok, Thailand
30.12.0×
177Durgapur West Bengal, India
30.02.0×
177Taichung Taiwan, Taiwan
30.02.0×
177Zentsujichó Kagawa, Japan
30.02.0×
177Mifune Kumamoto, Japan
30.02.0×
181Ōzu Kumamoto, Japan
29.92.0×
181Itoshima Fukuoka, Japan
29.92.0×
183Callao Callao, Peru
29.82.0×
183Kirishima Kagoshima, Japan
29.82.0×
185Sialkot low-cost sensors Punjab, Pakistan
29.62.0×
185Youkaichi Shiga, Japan
29.62.0×
187Akola Maharashtra, India
29.52.0×
187Aizawl Mizoram, India
29.52.0×
187Tanushimarumachi-toyoki Fukuoka, Japan
29.52.0×
187Obita Nagasaki, Japan
29.52.0×
187Koga Fukuoka, Japan
29.52.0×
187Nagato Yamaguchi, Japan
29.52.0×
187Ōdate Akita, Japan
29.52.0×
194Ban Khlong Prawet low-cost sensors Bangkok, Thailand
29.42.0×
194Takanabe Miyazaki, Japan
29.42.0×
194Shimonoseki Yamaguchi, Japan
29.42.0×
194Nobeoka Miyazaki, Japan
29.42.0×
194Maizuru Kyoto, Japan
29.42.0×
194Shintomi Miyazaki, Japan
29.42.0×
200Otwock Mazovia, Poland
29.32.0×

Top 200 of 2,324 shown.

Good 0–9.0Moderate 9.1+Unhealthy for sensitive groups 35.5+Unhealthy 55.5+Very unhealthy 125.5+Hazardous 225.5+No data