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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
India | Kalavai | 59 | Moderate | 1 | Good | 32 | Good | 0 | Good | 59 | Moderate | 12.7691 | 79.4196 |
Russian Federation | Kalyazin | 24 | Good | 1 | Good | 24 | Good | 0 | Good | 19 | Good | 57.2333 | 37.8833 |
Ukraine | Kalynivka | 78 | Moderate | 1 | Good | 36 | Good | 1 | Good | 78 | Moderate | 49.4472 | 28.5231 |
Cambodia | Kampot | 59 | Moderate | 1 | Good | 27 | Good | 0 | Good | 59 | Moderate | 10.6 | 104.1667 |
Finland | Kangasala | 30 | Good | 1 | Good | 30 | Good | 2 | Good | 14 | Good | 61.4639 | 24.065 |
India | Karambakkudi | 84 | Moderate | 1 | Good | 40 | Good | 1 | Good | 84 | Moderate | 10.4587 | 79.141 |
Japan | Kawaguchi | 75 | Moderate | 1 | Good | 75 | Moderate | 1 | Good | 34 | Good | 35.8077 | 139.7241 |
United States of America | Kearns | 54 | Moderate | 1 | Good | 6 | Good | 14 | Good | 54 | Moderate | 40.6519 | -112.0095 |
Belgium | Keerbergen | 39 | Good | 1 | Good | 23 | Good | 5 | Good | 39 | Good | 51.0031 | 4.6311 |
United States of America | Kerrville | 36 | Good | 0 | Good | 20 | Good | 1 | Good | 36 | Good | 30.0398 | -99.132 |
United States of America | Kettering | 53 | Moderate | 1 | Good | 31 | Good | 6 | Good | 53 | Moderate | 52.3931 | -0.7229 |
United States of America | Kettering | 53 | Moderate | 1 | Good | 31 | Good | 6 | Good | 53 | Moderate | 39.6956 | -84.1494 |
United States of America | Kettering | 53 | Moderate | 1 | Good | 31 | Good | 6 | Good | 53 | Moderate | 38.8888 | -76.7889 |
India | Khammam | 112 | Unhealthy for Sensitive Groups | 1 | Good | 29 | Good | 2 | Good | 112 | Unhealthy for Sensitive Groups | 17.2473 | 80.1514 |
India | Khandwa | 130 | Unhealthy for Sensitive Groups | 0 | Good | 31 | Good | 0 | Good | 130 | Unhealthy for Sensitive Groups | 21.82 | 76.35 |
Italy | Marsciano | 40 | Good | 1 | Good | 40 | Good | 2 | Good | 23 | Good | 42.9167 | 12.3333 |
France | Marseille | 59 | Moderate | 1 | Good | 37 | Good | 6 | Good | 59 | Moderate | 43.2964 | 5.37 |
United States of America | Mashpee | 29 | Good | 1 | Good | 29 | Good | 2 | Good | 17 | Good | 41.6178 | -70.4908 |
Uganda | Masindi | 62 | Moderate | 2 | Good | 17 | Good | 0 | Good | 62 | Moderate | 1.6836 | 31.7222 |
Chad | Massakory | 65 | Moderate | 2 | Good | 23 | Good | 1 | Good | 65 | Moderate | 13 | 15.7333 |
Philippines | Medellin | 78 | Moderate | 1 | Good | 31 | Good | 0 | Good | 78 | Moderate | 11.1286 | 123.9622 |
Cuba | Media Luna | 56 | Moderate | 1 | Good | 25 | Good | 1 | Good | 56 | Moderate | 20.1444 | -77.4361 |
Colombia | Melgar | 121 | Unhealthy for Sensitive Groups | 4 | Good | 7 | Good | 8 | Good | 121 | Unhealthy for Sensitive Groups | 4.2039 | -74.6428 |
Argentina | Mercedes | 14 | Good | 1 | Good | 14 | Good | 0 | Good | 3 | Good | -33.25 | -58.0333 |
Argentina | Mercedes | 14 | Good | 1 | Good | 14 | Good | 0 | Good | 3 | Good | -34.65 | -59.4333 |
Argentina | Mercedes | 14 | Good | 1 | Good | 14 | Good | 0 | Good | 3 | Good | 14.1093 | 123.0109 |
Argentina | Mercedes | 14 | Good | 1 | Good | 14 | Good | 0 | Good | 3 | Good | -29.2 | -58.0833 |
Argentina | Mercedes | 14 | Good | 1 | Good | 14 | Good | 0 | Good | 3 | Good | 26.1533 | -97.9128 |
United States of America | Merriam | 95 | Moderate | 1 | Good | 23 | Good | 10 | Good | 95 | Moderate | 39.0186 | -94.6933 |
United States of America | Merrill | 52 | Moderate | 1 | Good | 33 | Good | 3 | Good | 52 | Moderate | 45.182 | -89.6994 |
Netherlands | Middelharnis | 34 | Good | 0 | Good | 34 | Good | 2 | Good | 32 | Good | 51.75 | 4.17 |
Turkey | Midyat | 72 | Moderate | 1 | Good | 42 | Good | 1 | Good | 72 | Moderate | 37.4167 | 41.3697 |
Brazil | Miguel Alves | 47 | Good | 1 | Good | 7 | Good | 1 | Good | 47 | Good | -4.1658 | -42.895 |
Uruguay | Minas | 22 | Good | 0 | Good | 19 | Good | 0 | Good | 22 | Good | -34.3667 | -55.2333 |
Uruguay | Minas | 22 | Good | 0 | Good | 19 | Good | 0 | Good | 22 | Good | 21.4894 | -77.605 |
Brazil | Miranorte | 41 | Good | 0 | Good | 11 | Good | 0 | Good | 41 | Good | -9.5289 | -48.59 |
India | Moga | 159 | Unhealthy | 2 | Good | 134 | Unhealthy for Sensitive Groups | 1 | Good | 159 | Unhealthy | 30.822 | 75.174 |
Italy | Mogliano Veneto | 89 | Moderate | 2 | Good | 33 | Good | 5 | Good | 89 | Moderate | 45.5619 | 12.2364 |
France | Montauban | 32 | Good | 1 | Good | 32 | Good | 2 | Good | 32 | Good | 44.0181 | 1.3558 |
Belgium | Mortsel | 40 | Good | 1 | Good | 29 | Good | 3 | Good | 40 | Good | 51.1667 | 4.4667 |
United States of America | Moscow | 30 | Good | 1 | Good | 19 | Good | 4 | Good | 30 | Good | 55.7558 | 37.6178 |
United States of America | Moscow | 30 | Good | 1 | Good | 19 | Good | 4 | Good | 30 | Good | 46.7308 | -116.9986 |
India | Mudhol | 73 | Moderate | 0 | Good | 24 | Good | 0 | Good | 73 | Moderate | 18.9667 | 77.9167 |
India | Mudhol | 73 | Moderate | 0 | Good | 24 | Good | 0 | Good | 73 | Moderate | 15.6406 | 75.9531 |
India | Mudhol | 73 | Moderate | 0 | Good | 24 | Good | 0 | Good | 73 | Moderate | 16.35 | 75.2833 |
Mexico | Muna | 59 | Moderate | 1 | Good | 21 | Good | 1 | Good | 59 | Moderate | 20.48 | -89.72 |
Mexico | Naranjos | 92 | Moderate | 2 | Good | 34 | Good | 1 | Good | 92 | Moderate | 21.3472 | -97.6833 |
Romania | Nehoiu | 52 | Moderate | 1 | Good | 40 | Good | 0 | Good | 52 | Moderate | 45.3531 | 26.305 |
Germany | Neustadt | 33 | Good | 0 | Good | 33 | Good | 0 | Good | 32 | Good | 49.35 | 8.15 |
Germany | Neustadt | 33 | Good | 0 | Good | 33 | Good | 0 | Good | 32 | Good | 49.5967 | 10.6089 |
Germany | Neustadt | 33 | Good | 0 | Good | 33 | Good | 0 | Good | 32 | Good | 51.0239 | 14.2167 |
Germany | Neustadt | 33 | Good | 0 | Good | 33 | Good | 0 | Good | 32 | Good | 50.85 | 9.1167 |
Germany | Neustadt | 33 | Good | 0 | Good | 33 | Good | 0 | Good | 32 | Good | 50.7333 | 11.75 |
United States of America | New Lenox | 54 | Moderate | 2 | Good | 30 | Good | 11 | Good | 54 | Moderate | 41.5095 | -87.9703 |
United Kingdom of Great Britain and Northern Ireland | Newburn | 31 | Good | 0 | Good | 31 | Good | 2 | Good | 21 | Good | 54.983 | -1.743 |
United Kingdom of Great Britain and Northern Ireland | Newbury | 50 | Good | 1 | Good | 22 | Good | 7 | Good | 50 | Good | 51.401 | -1.323 |
Republic of Moldova | Nisporeni | 53 | Moderate | 1 | Good | 36 | Good | 1 | Good | 53 | Moderate | 47.0833 | 28.1833 |
Japan | Nisshin | 44 | Good | 1 | Good | 44 | Good | 1 | Good | 16 | Good | 35.132 | 137.0394 |
Russian Federation | Nizhniye Sergi | 37 | Good | 1 | Good | 35 | Good | 0 | Good | 37 | Good | 56.6667 | 59.3167 |
Germany | Nohfelden | 54 | Moderate | 1 | Good | 30 | Good | 3 | Good | 54 | Moderate | 49.5867 | 7.1428 |
null | Kingstown | 163 | Unhealthy | 0 | Good | 25 | Good | 0 | Good | 163 | Unhealthy | 13.1578 | -61.225 |
United States of America | Klamath Falls | 40 | Good | 1 | Good | 7 | Good | 6 | Good | 40 | Good | 42.2195 | -121.7754 |
Pakistan | Kohat | 101 | Unhealthy for Sensitive Groups | 1 | Good | 62 | Moderate | 0 | Good | 101 | Unhealthy for Sensitive Groups | 33.5833 | 71.4333 |
China | Korla | 160 | Unhealthy | 1 | Good | 45 | Good | 0 | Good | 160 | Unhealthy | 41.7259 | 86.1746 |
Ukraine | Korostyshiv | 89 | Moderate | 1 | Good | 39 | Good | 0 | Good | 89 | Moderate | 50.3186 | 29.0592 |
Guinea | Kouroussa | 56 | Moderate | 1 | Good | 13 | Good | 0 | Good | 56 | Moderate | 10.653 | -9.892 |
United States of America | Littleton | 74 | Moderate | 1 | Good | 8 | Good | 13 | Good | 74 | Moderate | 39.5915 | -105.0188 |
United States of America | Littleton | 74 | Moderate | 1 | Good | 8 | Good | 13 | Good | 74 | Moderate | 42.535 | -71.4891 |
Italy | Lizzano | 48 | Good | 1 | Good | 48 | Good | 3 | Good | 36 | Good | 40.3919 | 17.4483 |
Bolivia (Plurinational State of) | Llallagua | 12 | Good | 0 | Good | 12 | Good | 0 | Good | 11 | Good | -18.4167 | -66.5833 |
United States of America | Lochearn | 42 | Good | 1 | Good | 28 | Good | 10 | Good | 42 | Good | 39.3461 | -76.7307 |
Finland | Lohja | 27 | Good | 1 | Good | 27 | Good | 4 | Good | 19 | Good | 60.25 | 24.0667 |
Myanmar | Loikaw | 15 | Good | 0 | Good | 15 | Good | 0 | Good | 10 | Good | 19.6742 | 97.2092 |
Italy | Lonate Pozzolo | 82 | Moderate | 1 | Good | 42 | Good | 2 | Good | 82 | Moderate | 45.6 | 8.75 |
Chile | Lota | 67 | Moderate | 2 | Good | 10 | Good | 8 | Good | 67 | Moderate | -37.0833 | -73.1667 |
Angola | Lubango | 40 | Good | 1 | Good | 14 | Good | 0 | Good | 40 | Good | -14.9167 | 13.5 |
Democratic Republic of the Congo | Luebo | 90 | Moderate | 4 | Good | 20 | Good | 0 | Good | 90 | Moderate | -5.35 | 21.4167 |
India | Lumding | 43 | Good | 2 | Good | 21 | Good | 0 | Good | 43 | Good | 25.75 | 93.17 |
India | Mahendragarh | 500 | Hazardous | 1 | Good | 42 | Good | 0 | Good | 435 | Hazardous | 28.28 | 76.15 |
Turkey | Malatya | 55 | Moderate | 1 | Good | 29 | Good | 0 | Good | 55 | Moderate | 38.3486 | 38.3194 |
Philippines | Manay | 25 | Good | 0 | Good | 15 | Good | 0 | Good | 25 | Good | 7.2108 | 126.5328 |
Kingdom of Eswatini | Manzini | 75 | Moderate | 3 | Good | 15 | Good | 1 | Good | 75 | Moderate | -26.4833 | 31.3667 |
Ukraine | Krasnodon | 37 | Good | 1 | Good | 37 | Good | 0 | Good | 13 | Good | 48.3 | 39.7333 |
India | Kunigal | 50 | Good | 0 | Good | 21 | Good | 0 | Good | 50 | Good | 13.0232 | 77.0252 |
Spain | La Carolina | 34 | Good | 1 | Good | 17 | Good | 3 | Good | 34 | Good | 38.2667 | -3.6167 |
Spain | La Garriga | 49 | Good | 1 | Good | 30 | Good | 5 | Good | 49 | Good | 41.6804 | 2.2833 |
Spain | La Llagosta | 53 | Moderate | 1 | Good | 26 | Good | 7 | Good | 53 | Moderate | 41.5156 | 2.1928 |
United States of America | Lady Lake | 72 | Moderate | 1 | Good | 7 | Good | 14 | Good | 72 | Moderate | 28.9241 | -81.9299 |
Malaysia | Lahad Datu | 48 | Good | 1 | Good | 15 | Good | 0 | Good | 48 | Good | 5.03 | 118.34 |
Belgium | Lanaken | 43 | Good | 1 | Good | 25 | Good | 4 | Good | 43 | Good | 50.8925 | 5.6497 |
France | Lannion | 41 | Good | 1 | Good | 26 | Good | 4 | Good | 41 | Good | 48.7325 | -3.4553 |
Italy | Lanuvio | 40 | Good | 1 | Good | 40 | Good | 2 | Good | 20 | Good | 41.6833 | 12.7 |
Mexico | Las Margaritas | 61 | Moderate | 1 | Good | 8 | Good | 4 | Good | 61 | Moderate | 16.3667 | -91.7333 |
Belgium | Lede | 42 | Good | 1 | Good | 28 | Good | 4 | Good | 42 | Good | 50.9667 | 3.9833 |
Italy | Lentini | 67 | Moderate | 1 | Good | 36 | Good | 3 | Good | 67 | Moderate | 37.2833 | 15 |
United States of America | Leominster | 30 | Good | 1 | Good | 30 | Good | 3 | Good | 22 | Good | 42.5209 | -71.7717 |
United States of America | Leominster | 30 | Good | 1 | Good | 30 | Good | 3 | Good | 22 | Good | 52.2282 | -2.7385 |
Mexico | Leon | 50 | Good | 1 | Good | 14 | Good | 3 | Good | 50 | Good | 10.7808 | 122.3894 |
Bulgaria | Levski | 52 | Moderate | 1 | Good | 36 | Good | 1 | Good | 52 | Moderate | 43.3667 | 25.1333 |
China | Liancheng | 58 | Moderate | 1 | Good | 28 | Good | 2 | Good | 58 | Moderate | 24.0515 | 105.0573 |
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