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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cameroon | Bogo | 75 | Moderate | 2 | Good | 16 | Good | 0 | Good | 75 | Moderate | 10.7361 | 14.6108 |
Cameroon | Bogo | 75 | Moderate | 2 | Good | 16 | Good | 0 | Good | 75 | Moderate | 11.0167 | 124 |
United States of America | Elkhart | 64 | Moderate | 2 | Good | 8 | Good | 19 | Good | 64 | Moderate | 41.6916 | -85.9627 |
Belgium | De Pinte | 36 | Good | 1 | Good | 25 | Good | 3 | Good | 36 | Good | 51 | 3.65 |
Gambia | Farafenni | 111 | Unhealthy for Sensitive Groups | 1 | Good | 24 | Good | 1 | Good | 111 | Unhealthy for Sensitive Groups | 13.5667 | -15.6 |
Poland | Garwolin | 92 | Moderate | 1 | Good | 30 | Good | 3 | Good | 92 | Moderate | 51.9 | 21.6333 |
Italy | Sona | 83 | Moderate | 1 | Good | 51 | Moderate | 0 | Good | 83 | Moderate | 45.4333 | 10.8333 |
Malaysia | Taiping | 131 | Unhealthy for Sensitive Groups | 3 | Good | 24 | Good | 10 | Good | 131 | Unhealthy for Sensitive Groups | 4.85 | 100.7333 |
Suriname | Paramaribo | 21 | Good | 0 | Good | 19 | Good | 0 | Good | 21 | Good | 5.8522 | -55.2039 |
Ecuador | Portoviejo | 38 | Good | 1 | Good | 19 | Good | 2 | Good | 38 | Good | -1.0561 | -80.4553 |
China | Shiyan | 151 | Unhealthy | 3 | Good | 151 | Unhealthy | 1 | Good | 100 | Unhealthy for Sensitive Groups | 32.6351 | 110.7755 |
China | Shiyan | 151 | Unhealthy | 3 | Good | 151 | Unhealthy | 1 | Good | 100 | Unhealthy for Sensitive Groups | 23.1251 | 113.8633 |
Poland | Strzelce Opolskie | 40 | Good | 1 | Good | 29 | Good | 1 | Good | 40 | Good | 50.5 | 18.2833 |
Burundi | Rutana | 42 | Good | 2 | Good | 15 | Good | 0 | Good | 42 | Good | -3.9167 | 30 |
India | Godhra | 152 | Unhealthy | 1 | Good | 36 | Good | 0 | Good | 152 | Unhealthy | 22.7772 | 73.6203 |
Belgium | Tubize | 48 | Good | 1 | Good | 25 | Good | 5 | Good | 48 | Good | 50.693 | 4.2047 |
Italy | Urbino | 37 | Good | 1 | Good | 37 | Good | 4 | Good | 29 | Good | 43.7252 | 12.6372 |
Serbia | Veternik | 76 | Moderate | 1 | Good | 40 | Good | 2 | Good | 76 | Moderate | 45.2533 | 19.7608 |
Italy | Taggia | 45 | Good | 1 | Good | 45 | Good | 1 | Good | 36 | Good | 43.8439 | 7.8509 |
United States of America | South Houston | 36 | Good | 1 | Good | 20 | Good | 3 | Good | 36 | Good | 29.6611 | -95.2285 |
Germany | Maintal | 52 | Moderate | 1 | Good | 27 | Good | 3 | Good | 52 | Moderate | 50.15 | 8.8333 |
Burundi | Kayanza | 62 | Moderate | 5 | Good | 21 | Good | 2 | Good | 62 | Moderate | -2.9167 | 29.6167 |
China | Keelung | 63 | Moderate | 1 | Good | 49 | Good | 2 | Good | 63 | Moderate | 25.1333 | 121.7333 |
Belgium | Jabbeke | 39 | Good | 1 | Good | 26 | Good | 3 | Good | 39 | Good | 51.1833 | 3.1 |
United States of America | Kaneohe | 36 | Good | 0 | Good | 35 | Good | 0 | Good | 36 | Good | 21.4062 | -157.7904 |
Italy | San Giuliano Terme | 76 | Moderate | 1 | Good | 42 | Good | 4 | Good | 76 | Moderate | 43.7625 | 10.4414 |
Sri Lanka | Matara | 43 | Good | 1 | Good | 17 | Good | 2 | Good | 43 | Good | 5.95 | 80.5333 |
Netherlands | Meerssen | 55 | Moderate | 1 | Good | 39 | Good | 1 | Good | 55 | Moderate | 50.8858 | 5.7519 |
Russian Federation | Odintsovo | 36 | Good | 1 | Good | 32 | Good | 6 | Good | 36 | Good | 55.6667 | 37.2667 |
Uganda | Bushenyi | 74 | Moderate | 3 | Good | 21 | Good | 0 | Good | 74 | Moderate | -0.5417 | 30.1878 |
Germany | Beckum | 68 | Moderate | 2 | Good | 29 | Good | 8 | Good | 68 | Moderate | 51.755 | 8.0403 |
Netherlands | Duiven | 30 | Good | 1 | Good | 30 | Good | 2 | Good | 21 | Good | 51.95 | 6.0333 |
Belgium | Blegny | 61 | Moderate | 1 | Good | 32 | Good | 4 | Good | 61 | Moderate | 50.6667 | 5.7333 |
India | Hindupur | 24 | Good | 1 | Good | 24 | Good | 0 | Good | 21 | Good | 13.83 | 77.49 |
Thailand | Warin Chamrap | 58 | Moderate | 1 | Good | 26 | Good | 0 | Good | 58 | Moderate | 15.2008 | 104.8612 |
Portugal | Torres Vedras | 47 | Good | 1 | Good | 39 | Good | 2 | Good | 47 | Good | 39.0833 | -9.2667 |
United States of America | Westwood | 50 | Good | 1 | Good | 34 | Good | 5 | Good | 50 | Good | 42.2202 | -71.2106 |
United States of America | Westwood | 50 | Good | 1 | Good | 34 | Good | 5 | Good | 50 | Good | 40.9878 | -74.0308 |
United States of America | Westwood | 50 | Good | 1 | Good | 34 | Good | 5 | Good | 50 | Good | 42.3031 | -85.6286 |
United States of America | Woodland | 77 | Moderate | 2 | Good | 25 | Good | 12 | Good | 77 | Moderate | 38.6712 | -121.75 |
Sierra Leone | Yengema | 54 | Moderate | 1 | Good | 8 | Good | 0 | Good | 54 | Moderate | 8.6167 | -11.1667 |
Sierra Leone | Koidu | 34 | Good | 1 | Good | 17 | Good | 0 | Good | 34 | Good | 8.6439 | -10.9717 |
Russian Federation | Kumertau | 37 | Good | 1 | Good | 37 | Good | 0 | Good | 33 | Good | 52.7667 | 55.7833 |
Canada | Lacombe | 39 | Good | 1 | Good | 39 | Good | 0 | Good | 10 | Good | 52.4683 | -113.7369 |
United States of America | Woonsocket | 42 | Good | 1 | Good | 27 | Good | 8 | Good | 42 | Good | 42.001 | -71.4993 |
United States of America | Dalton | 58 | Moderate | 1 | Good | 15 | Good | 11 | Good | 58 | Moderate | 34.769 | -84.972 |
Germany | Dieburg | 37 | Good | 0 | Good | 37 | Good | 0 | Good | 29 | Good | 49.9 | 8.85 |
Ghana | Aburi | 63 | Moderate | 1 | Good | 17 | Good | 1 | Good | 63 | Moderate | 5.85 | -0.1833 |
France | Cugnaux | 33 | Good | 1 | Good | 33 | Good | 1 | Good | 22 | Good | 43.5378 | 1.3436 |
Brazil | Bom Conselho | 35 | Good | 0 | Good | 9 | Good | 2 | Good | 35 | Good | -9.17 | -36.68 |
Spain | Torrox | 50 | Good | 2 | Good | 21 | Good | 7 | Good | 50 | Good | 36.75 | -3.95 |
Ghana | Techiman | 55 | Moderate | 1 | Good | 19 | Good | 0 | Good | 55 | Moderate | 7.5772 | -1.9292 |
United States of America | Truckee | 45 | Good | 1 | Good | 16 | Good | 6 | Good | 45 | Good | 39.3455 | -120.1848 |
Brazil | Umirim | 40 | Good | 0 | Good | 20 | Good | 1 | Good | 40 | Good | -3.6769 | -39.35 |
United States of America | Weehawken | 64 | Moderate | 1 | Good | 24 | Good | 13 | Good | 64 | Moderate | 40.7677 | -74.0168 |
Italy | Luino | 35 | Good | 1 | Good | 35 | Good | 0 | Good | 13 | Good | 46 | 8.75 |
United States of America | Garden Grove | 93 | Moderate | 3 | Good | 12 | Good | 25 | Good | 93 | Moderate | 33.7787 | -117.9601 |
Poland | Mosina | 35 | Good | 1 | Good | 29 | Good | 1 | Good | 35 | Good | 52.2467 | 16.845 |
Pakistan | Sarai Alamgir | 181 | Unhealthy | 2 | Good | 170 | Unhealthy | 1 | Good | 181 | Unhealthy | 32.9 | 73.75 |
Papua New Guinea | Tari | 8 | Good | 0 | Good | 8 | Good | 0 | Good | 7 | Good | -5.8489 | 142.9506 |
United States of America | Vermilion | 56 | Moderate | 1 | Good | 36 | Good | 2 | Good | 56 | Moderate | 41.4103 | -82.3214 |
Zimbabwe | Victoria Falls | 26 | Good | 0 | Good | 26 | Good | 0 | Good | 14 | Good | -17.9333 | 25.8333 |
United States of America | Superior | 32 | Good | 1 | Good | 30 | Good | 5 | Good | 32 | Good | 46.6941 | -92.0823 |
United States of America | Superior | 32 | Good | 1 | Good | 30 | Good | 5 | Good | 32 | Good | 39.934 | -105.1588 |
United States of America | Sparks | 138 | Unhealthy for Sensitive Groups | 3 | Good | 18 | Good | 7 | Good | 138 | Unhealthy for Sensitive Groups | 39.5736 | -119.7161 |
Bulgaria | Pernik | 53 | Moderate | 1 | Good | 46 | Good | 0 | Good | 53 | Moderate | 42.6 | 23.0333 |
Germany | Weilheim | 65 | Moderate | 1 | Good | 59 | Moderate | 0 | Good | 65 | Moderate | 47.8333 | 11.15 |
Cuba | Yaguajay | 43 | Good | 1 | Good | 28 | Good | 1 | Good | 43 | Good | 22.3303 | -79.2369 |
Italy | Riesi | 52 | Moderate | 1 | Good | 45 | Good | 1 | Good | 52 | Moderate | 37.2833 | 14.0833 |
United Republic of Tanzania | Kigoma | 56 | Moderate | 2 | Good | 24 | Good | 0 | Good | 56 | Moderate | -4.8833 | 29.6333 |
United States of America | Bay Shore | 53 | Moderate | 1 | Good | 26 | Good | 13 | Good | 53 | Moderate | 40.7288 | -73.2495 |
Brazil | Guariba | 53 | Moderate | 1 | Good | 5 | Good | 2 | Good | 53 | Moderate | -21.36 | -48.2283 |
Belgium | Zwevegem | 37 | Good | 1 | Good | 25 | Good | 3 | Good | 37 | Good | 50.8 | 3.3333 |
United States of America | Wallington | 57 | Moderate | 1 | Good | 43 | Good | 6 | Good | 57 | Moderate | 51.3647 | -0.1403 |
United States of America | Wallington | 57 | Moderate | 1 | Good | 43 | Good | 6 | Good | 57 | Moderate | 40.8536 | -74.1069 |
Togo | Niamtougou | 56 | Moderate | 1 | Good | 29 | Good | 0 | Good | 56 | Moderate | 9.7667 | 1.1 |
Russian Federation | Kirsanov | 51 | Moderate | 1 | Good | 35 | Good | 0 | Good | 51 | Moderate | 52.65 | 42.7333 |
United Republic of Tanzania | Lushoto | 22 | Good | 0 | Good | 17 | Good | 0 | Good | 22 | Good | -4.7928 | 38.2911 |
Germany | Kamenz | 71 | Moderate | 1 | Good | 40 | Good | 1 | Good | 71 | Moderate | 51.2667 | 14.1 |
Croatia | Petrinja | 67 | Moderate | 1 | Good | 32 | Good | 1 | Good | 67 | Moderate | 45.4406 | 16.2783 |
Brazil | Arroio Grande | 16 | Good | 0 | Good | 16 | Good | 0 | Good | 10 | Good | -32.2378 | -53.0869 |
Germany | Weener | 36 | Good | 0 | Good | 36 | Good | 0 | Good | 34 | Good | 53.1692 | 7.3564 |
Netherlands | Woudrichem | 34 | Good | 0 | Good | 33 | Good | 2 | Good | 34 | Good | 51.8167 | 5 |
Italy | Tavagnacco | 83 | Moderate | 1 | Good | 38 | Good | 3 | Good | 83 | Moderate | 46.1333 | 13.2167 |
Malaysia | Teluk Intan | 90 | Moderate | 2 | Good | 57 | Moderate | 1 | Good | 90 | Moderate | 4.0259 | 101.0213 |
Mexico | Tierra Colorada | 84 | Moderate | 3 | Good | 2 | Good | 7 | Good | 84 | Moderate | 17.1656 | -99.5264 |
United States of America | Venice | 55 | Moderate | 1 | Good | 18 | Good | 12 | Good | 55 | Moderate | 45.4397 | 12.3319 |
United States of America | Venice | 55 | Moderate | 1 | Good | 18 | Good | 12 | Good | 55 | Moderate | 27.1184 | -82.4137 |
Italy | Terzigno | 42 | Good | 1 | Good | 42 | Good | 2 | Good | 15 | Good | 40.8 | 14.5 |
United Kingdom of Great Britain and Northern Ireland | Tyldesley | 45 | Good | 0 | Good | 29 | Good | 1 | Good | 45 | Good | 53.5166 | -2.4667 |
United States of America | San Bernardino | 74 | Moderate | 2 | Good | 6 | Good | 21 | Good | 74 | Moderate | 34.1416 | -117.2943 |
United States of America | San Bernardino | 74 | Moderate | 2 | Good | 6 | Good | 21 | Good | 74 | Moderate | -25.3106 | -57.2961 |
United States of America | San Bernardino | 74 | Moderate | 2 | Good | 6 | Good | 21 | Good | 74 | Moderate | 14.5333 | -91.45 |
Peru | Talara | 37 | Good | 0 | Good | 24 | Good | 0 | Good | 37 | Good | -4.5799 | -81.2719 |
null | Marapanim | 25 | Good | 1 | Good | 15 | Good | 0 | Good | 25 | Good | -0.7139 | -47.6939 |
France | Maubeuge | 39 | Good | 1 | Good | 22 | Good | 4 | Good | 39 | Good | 50.2775 | 3.9734 |
Hungary | Gyula | 52 | Moderate | 1 | Good | 47 | Good | 0 | Good | 52 | Moderate | 46.65 | 21.2833 |
Azerbaijan | Qobustan | 81 | Moderate | 1 | Good | 48 | Good | 0 | Good | 81 | Moderate | 40.5367 | 48.9328 |
Azerbaijan | Qobustan | 81 | Moderate | 1 | Good | 48 | Good | 0 | Good | 81 | Moderate | 40.0842 | 49.4158 |
Brazil | Viana | 22 | Good | 0 | Good | 12 | Good | 0 | Good | 22 | Good | -20.39 | -40.4958 |
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