Country stringclasses 174
values | City stringlengths 2 30 | AQI Value int64 7 500 | AQI Category stringclasses 6
values | CO AQI Value int64 0 133 | CO AQI Category stringclasses 3
values | Ozone AQI Value int64 0 222 | Ozone AQI Category stringclasses 5
values | NO2 AQI Value int64 0 91 | NO2 AQI Category stringclasses 2
values | PM2.5 AQI Value int64 0 500 | PM2.5 AQI Category stringclasses 6
values | lat float64 -54.8 70.8 | lng float64 -171.75 178 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
South Sudan | Torit | 65 | Moderate | 1 | Good | 12 | Good | 0 | Good | 65 | Moderate | 4.4081 | 32.575 |
United States of America | Trenton | 53 | Moderate | 1 | Good | 28 | Good | 10 | Good | 53 | Moderate | 40.2237 | -74.7641 |
United States of America | Trenton | 53 | Moderate | 1 | Good | 28 | Good | 10 | Good | 53 | Moderate | 42.1394 | -83.1929 |
United States of America | Trenton | 53 | Moderate | 1 | Good | 28 | Good | 10 | Good | 53 | Moderate | 39.4792 | -84.462 |
United States of America | Trujillo Alto | 56 | Moderate | 0 | Good | 23 | Good | 0 | Good | 56 | Moderate | 18.3599 | -66.0096 |
Ireland | Tullamore | 57 | Moderate | 1 | Good | 26 | Good | 3 | Good | 57 | Moderate | 53.2667 | -7.5 |
Turkey | Tunceli | 62 | Moderate | 0 | Good | 35 | Good | 0 | Good | 62 | Moderate | 39.1064 | 39.5472 |
United States of America | Two Rivers | 49 | Good | 1 | Good | 27 | Good | 4 | Good | 49 | Good | 44.1565 | -87.5824 |
Russian Federation | Tyukalinsk | 34 | Good | 1 | Good | 34 | Good | 0 | Good | 32 | Good | 55.8667 | 72.2 |
India | Umaria | 163 | Unhealthy | 2 | Good | 92 | Moderate | 0 | Good | 163 | Unhealthy | 23.5247 | 80.8372 |
United States of America | Willowbrook | 126 | Unhealthy for Sensitive Groups | 4 | Good | 3 | Good | 36 | Good | 126 | Unhealthy for Sensitive Groups | 33.9209 | -118.2356 |
United States of America | Willowbrook | 126 | Unhealthy for Sensitive Groups | 4 | Good | 3 | Good | 36 | Good | 126 | Unhealthy for Sensitive Groups | 41.7641 | -87.9454 |
United States of America | Wilmette | 63 | Moderate | 2 | Good | 9 | Good | 22 | Good | 63 | Moderate | 42.0771 | -87.7282 |
United States of America | Wolf Trap | 53 | Moderate | 2 | Good | 27 | Good | 10 | Good | 53 | Moderate | 38.9395 | -77.2842 |
United States of America | Woodhaven | 86 | Moderate | 2 | Good | 38 | Good | 10 | Good | 86 | Moderate | 42.132 | -83.2374 |
China | Xushan | 112 | Unhealthy for Sensitive Groups | 2 | Good | 44 | Good | 4 | Good | 112 | Unhealthy for Sensitive Groups | 30.1697 | 121.2665 |
China | Yancheng | 155 | Unhealthy | 3 | Good | 155 | Unhealthy | 2 | Good | 151 | Unhealthy | 33.3936 | 120.1339 |
Democratic Republic of the Congo | Yangambi | 121 | Unhealthy for Sensitive Groups | 4 | Good | 24 | Good | 0 | Good | 121 | Unhealthy for Sensitive Groups | 0.7675 | 24.4414 |
China | Yanji | 69 | Moderate | 2 | Good | 48 | Good | 0 | Good | 69 | Moderate | 42.9044 | 129.5067 |
United States of America | Yankton | 47 | Good | 1 | Good | 34 | Good | 3 | Good | 47 | Good | 42.8901 | -97.3927 |
Germany | Wenden | 69 | Moderate | 1 | Good | 34 | Good | 4 | Good | 69 | Moderate | 50.9667 | 7.8667 |
Belgium | Wetteren | 64 | Moderate | 1 | Good | 32 | Good | 6 | Good | 64 | Moderate | 51 | 3.8833 |
Canada | Whitehorse | 20 | Good | 1 | Good | 20 | Good | 1 | Good | 10 | Good | 60.7029 | -135.0691 |
Ireland | Wicklow | 38 | Good | 1 | Good | 30 | Good | 3 | Good | 38 | Good | 52.9779 | -6.033 |
Switzerland | Wil | 59 | Moderate | 1 | Good | 27 | Good | 3 | Good | 59 | Moderate | 47.4667 | 9.05 |
Germany | Wildeshausen | 67 | Moderate | 1 | Good | 30 | Good | 5 | Good | 67 | Moderate | 52.9 | 8.4333 |
United States of America | Williamsport | 75 | Moderate | 2 | Good | 13 | Good | 16 | Good | 75 | Moderate | 41.2399 | -77.037 |
United States of America | Fox Lake | 60 | Moderate | 2 | Good | 18 | Good | 21 | Good | 60 | Moderate | 42.4239 | -88.1844 |
Denmark | Frederikssund | 36 | Good | 1 | Good | 36 | Good | 0 | Good | 25 | Good | 55.8333 | 12.0666 |
United States of America | Friendly | 41 | Good | 1 | Good | 30 | Good | 8 | Good | 41 | Good | 38.7601 | -76.9642 |
Germany | Fuldatal | 44 | Good | 1 | Good | 28 | Good | 2 | Good | 44 | Good | 51.3484 | 9.5256 |
Japan | Furano | 29 | Good | 1 | Good | 26 | Good | 1 | Good | 29 | Good | 43.342 | 142.3832 |
China | Fuzhou | 168 | Unhealthy | 3 | Good | 168 | Unhealthy | 5 | Good | 99 | Moderate | 27.9814 | 116.3577 |
China | Fuzhou | 168 | Unhealthy | 3 | Good | 168 | Unhealthy | 5 | Good | 99 | Moderate | 26.0769 | 119.2917 |
United Kingdom of Great Britain and Northern Ireland | Galashiels | 25 | Good | 1 | Good | 25 | Good | 3 | Good | 23 | Good | 55.6194 | -2.8033 |
Germany | Gangelt | 41 | Good | 1 | Good | 26 | Good | 4 | Good | 41 | Good | 50.9831 | 6 |
Germany | Garbsen | 36 | Good | 0 | Good | 33 | Good | 1 | Good | 36 | Good | 52.4183 | 9.5981 |
Cameroon | Garoua | 59 | Moderate | 2 | Good | 12 | Good | 0 | Good | 59 | Moderate | 9.3 | 13.4 |
Netherlands | Geertruidenberg | 35 | Good | 0 | Good | 33 | Good | 2 | Good | 35 | Good | 51.7 | 4.8586 |
Australia | Geraldton | 29 | Good | 0 | Good | 29 | Good | 0 | Good | 13 | Good | -28.7744 | 114.6089 |
Germany | Germersheim | 51 | Moderate | 1 | Good | 29 | Good | 3 | Good | 51 | Moderate | 49.2167 | 8.3667 |
Colombia | Girardot | 103 | Unhealthy for Sensitive Groups | 4 | Good | 9 | Good | 6 | Good | 103 | Unhealthy for Sensitive Groups | 4.305 | -74.8017 |
United Kingdom of Great Britain and Northern Ireland | Golborne | 35 | Good | 1 | Good | 30 | Good | 4 | Good | 35 | Good | 53.4758 | -2.5943 |
Portugal | Gondomar | 27 | Good | 0 | Good | 27 | Good | 2 | Good | 21 | Good | 41.15 | -8.5333 |
Portugal | Gondomar | 27 | Good | 0 | Good | 27 | Good | 2 | Good | 21 | Good | 42.1111 | -8.7611 |
India | Govindgarh | 307 | Hazardous | 1 | Good | 45 | Good | 0 | Good | 307 | Hazardous | 24.3785 | 81.2964 |
United States of America | Hoffman Estates | 61 | Moderate | 2 | Good | 26 | Good | 16 | Good | 61 | Moderate | 42.064 | -88.1468 |
United States of America | Holly Springs | 42 | Good | 1 | Good | 42 | Good | 2 | Good | 37 | Good | 35.6526 | -78.8399 |
United States of America | Holly Springs | 42 | Good | 1 | Good | 42 | Good | 2 | Good | 37 | Good | 34.1681 | -84.4847 |
Germany | Holzminden | 42 | Good | 0 | Good | 32 | Good | 1 | Good | 42 | Good | 51.8297 | 9.4483 |
Ethiopia | Huruta | 102 | Unhealthy for Sensitive Groups | 1 | Good | 23 | Good | 0 | Good | 102 | Unhealthy for Sensitive Groups | 8.15 | 39.35 |
Italy | Iglesias | 64 | Moderate | 1 | Good | 53 | Moderate | 1 | Good | 64 | Moderate | 39.3167 | 8.5333 |
Japan | Iizuka | 45 | Good | 1 | Good | 45 | Good | 0 | Good | 38 | Good | 33.65 | 130.6833 |
Japan | Suzu | 69 | Moderate | 1 | Good | 69 | Moderate | 1 | Good | 60 | Moderate | 37.4363 | 137.2605 |
Hungary | Szeged | 50 | Good | 1 | Good | 41 | Good | 1 | Good | 50 | Good | 46.255 | 20.145 |
Iran (Islamic Republic of) | Tafresh | 125 | Unhealthy for Sensitive Groups | 2 | Good | 125 | Unhealthy for Sensitive Groups | 1 | Good | 82 | Moderate | 34.6919 | 50.0131 |
Philippines | Tagaytay | 41 | Good | 1 | Good | 25 | Good | 1 | Good | 41 | Good | 14.1 | 120.9333 |
Japan | Tajimi | 52 | Moderate | 1 | Good | 34 | Good | 3 | Good | 52 | Moderate | 35.3328 | 137.1316 |
Japan | Takahagi | 47 | Good | 1 | Good | 47 | Good | 1 | Good | 44 | Good | 36.7192 | 140.7167 |
Japan | Takahashi | 36 | Good | 1 | Good | 36 | Good | 3 | Good | 34 | Good | 34.7914 | 133.6164 |
Philippines | Talacogon | 37 | Good | 1 | Good | 19 | Good | 0 | Good | 37 | Good | 8.4488 | 125.7869 |
Russian Federation | Taldom | 46 | Good | 1 | Good | 27 | Good | 1 | Good | 46 | Good | 56.7333 | 37.5333 |
United States of America | Tamiami | 64 | Moderate | 1 | Good | 18 | Good | 12 | Good | 64 | Moderate | 25.7556 | -80.4016 |
Israel | Tamra | 92 | Moderate | 2 | Good | 52 | Moderate | 8 | Good | 92 | Moderate | 32.8536 | 35.1978 |
Philippines | Tantangan | 35 | Good | 1 | Good | 20 | Good | 0 | Good | 35 | Good | 6.6167 | 124.75 |
Indonesia | Tarogong | 88 | Moderate | 2 | Good | 53 | Moderate | 1 | Good | 88 | Moderate | -7.215 | 107.8856 |
Turkey | Tatvan | 45 | Good | 0 | Good | 45 | Good | 0 | Good | 43 | Good | 38.5022 | 42.2814 |
United Kingdom of Great Britain and Northern Ireland | Yeovil | 58 | Moderate | 1 | Good | 24 | Good | 7 | Good | 58 | Moderate | 50.9452 | -2.637 |
China | Yuanping | 143 | Unhealthy for Sensitive Groups | 2 | Good | 35 | Good | 5 | Good | 143 | Unhealthy for Sensitive Groups | 38.7299 | 112.7134 |
China | Yuncheng | 187 | Unhealthy | 2 | Good | 36 | Good | 8 | Good | 187 | Unhealthy | 35.0304 | 110.998 |
Belgium | Zaventem | 58 | Moderate | 1 | Good | 29 | Good | 6 | Good | 58 | Moderate | 50.8833 | 4.4667 |
Belgium | Zemst | 65 | Moderate | 1 | Good | 27 | Good | 8 | Good | 65 | Moderate | 50.9722 | 4.4222 |
China | Zhaozhou | 73 | Moderate | 2 | Good | 66 | Moderate | 0 | Good | 73 | Moderate | 37.7527 | 114.7775 |
China | Zhongshan | 98 | Moderate | 3 | Good | 33 | Good | 9 | Good | 98 | Moderate | 22.5333 | 113.35 |
China | Zhongshan | 98 | Moderate | 3 | Good | 33 | Good | 9 | Good | 98 | Moderate | 34.943 | 105.8771 |
China | Zhuji | 156 | Unhealthy | 4 | Good | 45 | Good | 10 | Good | 156 | Unhealthy | 29.7169 | 120.2314 |
Mexico | Zinacantepec | 163 | Unhealthy | 4 | Good | 8 | Good | 18 | Good | 163 | Unhealthy | 19.2833 | -99.7333 |
Russian Federation | Zmeinogorsk | 35 | Good | 1 | Good | 35 | Good | 0 | Good | 21 | Good | 51.1667 | 82.2 |
Italy | Abbiategrasso | 69 | Moderate | 1 | Good | 37 | Good | 4 | Good | 69 | Moderate | 45.4 | 8.9167 |
Côte d'Ivoire | Abidjan | 105 | Unhealthy for Sensitive Groups | 4 | Good | 15 | Good | 4 | Good | 105 | Unhealthy for Sensitive Groups | 5.3167 | -4.0333 |
United States of America | Acworth | 64 | Moderate | 2 | Good | 37 | Good | 8 | Good | 64 | Moderate | 34.0566 | -84.6716 |
United States of America | Adelphi | 54 | Moderate | 1 | Good | 32 | Good | 5 | Good | 54 | Moderate | 39.0017 | -76.9649 |
United States of America | Alabaster | 80 | Moderate | 1 | Good | 18 | Good | 10 | Good | 80 | Moderate | 33.2198 | -86.8225 |
Russian Federation | Alagir | 50 | Good | 1 | Good | 36 | Good | 1 | Good | 50 | Good | 43.0333 | 44.2333 |
Belgium | Alken | 35 | Good | 1 | Good | 25 | Good | 3 | Good | 35 | Good | 50.8761 | 5.3078 |
Canada | Alma | 55 | Moderate | 1 | Good | 27 | Good | 0 | Good | 55 | Moderate | 48.55 | -71.65 |
Canada | Alma | 55 | Moderate | 1 | Good | 27 | Good | 0 | Good | 55 | Moderate | 43.3799 | -84.6556 |
Papua New Guinea | Alotau | 28 | Good | 0 | Good | 28 | Good | 0 | Good | 13 | Good | -10.3167 | 150.4333 |
Madagascar | Ambovombe | 26 | Good | 0 | Good | 26 | Good | 0 | Good | 20 | Good | -25.1764 | 46.0833 |
China | Anqiu | 107 | Unhealthy for Sensitive Groups | 2 | Good | 107 | Unhealthy for Sensitive Groups | 5 | Good | 86 | Moderate | 36.3619 | 119.1072 |
Madagascar | Antalaha | 22 | Good | 0 | Good | 22 | Good | 0 | Good | 20 | Good | -14.8833 | 50.25 |
United States of America | Antioch | 76 | Moderate | 3 | Good | 7 | Good | 25 | Good | 76 | Moderate | 37.9787 | -121.796 |
United States of America | Antioch | 76 | Moderate | 3 | Good | 7 | Good | 25 | Good | 76 | Moderate | 42.4742 | -88.0721 |
Ghana | Apam | 104 | Unhealthy for Sensitive Groups | 2 | Good | 14 | Good | 1 | Good | 104 | Unhealthy for Sensitive Groups | 5.2789 | -0.7397 |
Russian Federation | Arkadak | 28 | Good | 1 | Good | 28 | Good | 1 | Good | 15 | Good | 51.9333 | 43.5 |
Russian Federation | Arsk | 28 | Good | 1 | Good | 28 | Good | 1 | Good | 19 | Good | 56.1 | 49.8833 |
Armenia | Ashtarak | 39 | Good | 1 | Good | 29 | Good | 1 | Good | 39 | Good | 40.2975 | 44.3617 |
Guatemala | Atescatempa | 104 | Unhealthy for Sensitive Groups | 3 | Good | 5 | Good | 10 | Good | 104 | Unhealthy for Sensitive Groups | 14.175 | -89.7417 |
Italy | Atri | 57 | Moderate | 1 | Good | 40 | Good | 3 | Good | 57 | Moderate | 42.5833 | 13.9833 |
United Kingdom of Great Britain and Northern Ireland | Ayr | 29 | Good | 1 | Good | 29 | Good | 2 | Good | 20 | Good | 55.458 | -4.629 |
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