SmogRank / History / September 2024

Most polluted cities, September 2024

1,555 cities ranked by their average PM2.5 over the 30 days. A city needs measurements on 70% of the days to be ranked.

#	City	µg/m³
1	Kinshasa low-cost sensors Kinshasa, Democratic Republic of the Congo	89.9
2	Dushanbe Dushanbe, Tajikistan	68.4
3	Lahore low-cost sensors Punjab, Pakistan	67.8
4	Kampala low-cost sensors Central Region, Uganda	66.9
5	Peshawar low-cost sensors Khyber Pakhtunkhwa, Pakistan	59.6
6	Santa Anita - Los Ficus Lima region, Peru	52.8
7	Dhaka low-cost sensors Dhaka Division, Bangladesh	45.2
8	Asunción low-cost sensors Asuncion, Paraguay	44.6
9	Baghdad Baghdad, Iraq	43.3
9	Kigali Kigali, Rwanda	43.3
11	Jakarta Jakarta, Indonesia	42.4
12	Addis Ababa Addis Ababa, Ethiopia	37.3
13	Cairo Cairo, Egypt	37.2
14	Antananarivo Analamanga, Madagascar	34.7
15	Islamabad low-cost sensors Islamabad, Pakistan	34.5
16	Hanoi Hanoi, Vietnam	34.3
17	Şabāḩ as Sālim Mubārak al Kabīr, Kuwait	33.7
18	Ashgabat Ashgabat, Turkmenistan	33.5
19	Delhi Delhi, India	33.2
20	Yanacancha Pasco, Peru	31.8
21	Vereeniging low-cost sensors Gauteng, South Africa	29.7
22	San Francisco De Borja Lima region, Peru	29.4
23	Jacobo Hunter Arequipa, Peru	28.2
24	Villa Poeta José Gálvez Barrenechea Lima region, Peru	28.0
25	Beijing Beijing, China	27.6
26	N'Djamena N’Djaména, Chad	24.9
27	Maputo Maputo City, Mozambique	23.9
28	Fort McMurray Alberta, Canada	23.8
29	Chennai Tamil Nadu, India	23.3
30	Algiers Algiers, Algeria	22.8
31	Wan Chai Wan Chai, Hong Kong	21.6
32	Guangzhou Guangdong, China	21.5
33	Kolkata West Bengal, India	21.2
33	San Clemente Ica, Peru	21.2
35	Iloilo low-cost sensors Western Visayas, Philippines	21.0
36	Hyderabad Telangana, India	20.5
36	Kathmandu low-cost sensors Bagmati Province, Nepal	20.5
38	Yauri Cuzco Department, Peru	20.2
39	Fontana California, United States	19.8
40	Lublin Lublin, Poland	18.2
41	Grajewo Podlasie, Poland	17.9
41	Chocope La Libertad, Peru	17.9
43	Łuków Lublin, Poland	17.8
43	Jurupa Valley California, United States	17.8
45	Miskolc Borsod-Abaúj-Zemplén, Hungary	17.7
46	Toruń Kujawsko-Pomorskie, Poland	17.6
47	Shanghai Shanghai, China	17.4
48	Debrecen low-cost sensors Hajdú-Bihar, Hungary	17.3
48	Starachowice Świętokrzyskie, Poland	17.3
48	Bangkok low-cost sensors Bangkok, Thailand	17.3
48	Kalisz Greater Poland, Poland	17.3
52	Riverside California, United States	17.1
53	Katowice Silesia, Poland	17.0
53	Bend Oregon, United States	17.0
55	Przemyśl Subcarpathia, Poland	16.8
55	Zielona Góra Lubusz, Poland	16.8
57	Pruszków Mazovia, Poland	16.7
57	Augustów Podlasie, Poland	16.7
57	Jurong West Singapore	16.7
60	Mielec Subcarpathia, Poland	16.5
60	Szczecin West Pomerania, Poland	16.5
60	Racibórz Silesia, Poland	16.5
63	Włocławek Kujawsko-Pomorskie, Poland	16.3
64	Zamość Lublin, Poland	16.2
64	Jastrzębie Zdrój Silesia, Poland	16.2
64	Prince Albert Saskatchewan, Canada	16.2
67	Otwock Mazovia, Poland	15.9
67	Poznań Greater Poland, Poland	15.9
69	Kutno Łódź Voivodeship, Poland	15.8
70	Konstancin-Jeziorna Mazovia, Poland	15.7
70	Yuanlin Taiwan, Taiwan	15.7
70	Ang Mo Kio New Town Singapore	15.7
73	Radom Mazovia, Poland	15.6
73	Kielce Świętokrzyskie, Poland	15.6
75	Legionowo Mazovia, Poland	15.5
75	Łask Łódź Voivodeship, Poland	15.5
75	Meridian Idaho, United States	15.5
75	Helena Montana, United States	15.5
79	Gdynia Pomerania, Poland	15.4
80	Elbląg Warmia-Masuria, Poland	15.3
81	Warsaw Mazovia, Poland	15.1
81	Olsztyn Warmia-Masuria, Poland	15.1
81	Kędzierzyn-Koźle Opole Voivodeship, Poland	15.1
81	Bydgoszcz Kujawsko-Pomorskie, Poland	15.1
85	Skarżysko-Kamienna Świętokrzyskie, Poland	15.0
85	Zgierz Łódź Voivodeship, Poland	15.0
85	Radomsko Łódź Voivodeship, Poland	15.0
88	Zemun Central Serbia, Serbia	14.9
88	Sopot Pomerania, Poland	14.9
88	Kraków Lesser Poland, Poland	14.9
91	Nyíregyháza Szabolcs-Szatmár-Bereg, Hungary	14.8
91	Nisko Subcarpathia, Poland	14.8
91	Grande Prairie Alberta, Canada	14.8
94	Chikugo Fukuoka, Japan	14.7
95	Xinying Taiwan, Taiwan	14.6
95	Ōtsuki Yamanashi, Japan	14.6
97	Białystok Podlasie, Poland	14.5
97	Fanling North District, Hong Kong	14.5
97	Ulu Bedok Singapore	14.5
100	Żyrardów Mazovia, Poland	14.4
100	Gdańsk Pomerania, Poland	14.4
102	Mumbai Maharashtra, India	14.3
102	Tuen Mun Tuen Mun, Hong Kong	14.3
102	Bielsko-Biala Silesia, Poland	14.3
105	Fengshan Takao, Taiwan	14.2
105	Erlun Taiwan, Taiwan	14.2
105	Ōmuta Fukuoka, Japan	14.2
105	Gorzów Wielkopolski Lubusz, Poland	14.2
109	Kościan Greater Poland, Poland	14.1
110	Jarosław Subcarpathia, Poland	14.0
110	Obrenovac Central Serbia, Serbia	14.0
110	Glendora California, United States	14.0
110	Butte Montana, United States	14.0
110	Prince George British Columbia, Canada	14.0
115	Mong Kok Yau Tsim Mong District, Hong Kong	13.9
115	Sarajevo Federation of B&H, Bosnia and Herzegovina	13.9
117	Pułtusk Mazovia, Poland	13.8
117	Tin Shui Wai Yuen Long, Hong Kong	13.8
117	Redmond Oregon, United States	13.8
120	Shakaskraal low-cost sensors KwaZulu-Natal, South Africa	13.7
120	Łódź Łódź Voivodeship, Poland	13.7
120	Los Angeles California, United States	13.7
123	Działdowo Warmia-Masuria, Poland	13.6
123	Lazarevac Central Serbia, Serbia	13.6
123	Honmachi Kumamoto, Japan	13.6
123	Accra low-cost sensors Greater Accra, Ghana	13.6
123	Arao Kumamoto, Japan	13.6
128	Tijuana Baja California, Mexico	13.5
129	Płock Mazovia, Poland	13.4
130	Hondomachi-hondo Kumamoto, Japan	13.3
130	Kłodzko Lower Silesia, Poland	13.3
130	Visalia California, United States	13.3
133	Zhushan Taiwan, Taiwan	13.1
134	Wawer Mazovia, Poland	13.0
134	Dębica Subcarpathia, Poland	13.0
134	Belgrade Central Serbia, Serbia	13.0
134	Douliu Taiwan, Taiwan	13.0
138	Buzi Taiwan, Taiwan	12.9
138	Tamana Kumamoto, Japan	12.9
138	Kościerzyna Pomerania, Poland	12.9
138	Banja Luka Srpska, Bosnia and Herzegovina	12.9
138	Chimbote Ancash, Peru	12.9
138	Ukiha Fukuoka, Japan	12.9
144	Ōyanomachi-noboritate Kumamoto, Japan	12.8
144	Minamata Kumamoto, Japan	12.8
144	Kasaoka Okayama, Japan	12.8
144	Birmingham Alabama, United States	12.8
144	Boise Idaho, United States	12.8
149	Rzeszów Subcarpathia, Poland	12.7
149	Richards Bay low-cost sensors KwaZulu-Natal, South Africa	12.7
149	Chiang Mai low-cost sensors Chiang Mai, Thailand	12.7
149	Puli Taiwan, Taiwan	12.7
149	Wrocław Lower Silesia, Poland	12.7
149	Lewiston Idaho, United States	12.7
155	Beigang Taiwan, Taiwan	12.6
155	Nantou Taiwan, Taiwan	12.6
155	San Tung Chung Hang Islands, Hong Kong	12.6
155	Woodlands Singapore	12.6
155	Porterville California, United States	12.6
155	Victorville California, United States	12.6
155	Missoula Montana, United States	12.6
162	Nampa Idaho, United States	12.5
162	Twin Falls Idaho, United States	12.5
164	Yerevan low-cost sensors Yerevan, Armenia	12.3
164	Yongkang Taiwan, Taiwan	12.3
164	Taichung Taiwan, Taiwan	12.3
164	Tai Po Tai Po, Hong Kong	12.3
164	Kurume Fukuoka, Japan	12.3
164	Czechowice-Dziedzice Silesia, Poland	12.3
164	Anaheim California, United States	12.3
171	Pančevo Vojvodina, Serbia	12.2
171	Queenstown Estate low-cost sensors Singapore	12.2
171	Carson low-cost sensors California, United States	12.2
171	Edmonton Alberta, Canada	12.2
175	Erlin Taiwan, Taiwan	12.1
175	Kwai Chung Kwai Tsing District, Hong Kong	12.1
175	Ōzu Kumamoto, Japan	12.1
175	Bismarck North Dakota, United States	12.1
175	Tsuchiura Ibaraki, Japan	12.1
180	Tsuen Wan Tsuen Wan, Hong Kong	12.0
180	Nakatsu Oita, Japan	12.0
180	Burbank California, United States	12.0
180	Fresno California, United States	12.0
184	Ełk Warmia-Masuria, Poland	11.9
184	Almaty low-cost sensors Almaty, Kazakhstan	11.9
184	Changhua Taiwan, Taiwan	11.9
187	Uto Kumamoto, Japan	11.8
187	Maebaru-chūō Fukuoka, Japan	11.8
187	Lake Elsinore California, United States	11.8
190	Uekimachi-mōno Kumamoto, Japan	11.7
190	Clovis California, United States	11.7
192	Jelenia Góra Lower Silesia, Poland	11.6
192	Hanford California, United States	11.6
192	Chikusei Ibaraki, Japan	11.6
192	Kotō Kumamoto, Japan	11.6
192	Ayase Kanagawa, Japan	11.6
197	Tarnów Lesser Poland, Poland	11.5
197	Tainan Taiwan, Taiwan	11.5
197	Aberdeen Southern District, Hong Kong	11.5
197	Rabinal Baja Verapaz, Guatemala	11.5

Top 200 of 1,555 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