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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
United Kingdom of Great Britain and Northern Ireland | Ayr | 29 | Good | 1 | Good | 29 | Good | 2 | Good | 20 | Good | -19.5744 | 147.4066 |
Netherlands | Baarn | 34 | Good | 0 | Good | 34 | Good | 1 | Good | 26 | Good | 52.2167 | 5.2833 |
Germany | Bad Langensalza | 32 | Good | 0 | Good | 30 | Good | 1 | Good | 32 | Good | 51.1081 | 10.6467 |
Pakistan | Bahawalnagar | 500 | Hazardous | 1 | Good | 38 | Good | 1 | Good | 466 | Hazardous | 29.9928 | 73.2536 |
Thailand | Ban Phai | 52 | Moderate | 0 | Good | 28 | Good | 0 | Good | 52 | Moderate | 16.073 | 102.7362 |
Philippines | Bangued | 27 | Good | 0 | Good | 23 | Good | 0 | Good | 27 | Good | 17.5965 | 120.6179 |
Germany | Bargteheide | 38 | Good | 0 | Good | 28 | Good | 2 | Good | 38 | Good | 53.7167 | 10.2667 |
United States of America | Bartlesville | 56 | Moderate | 1 | Good | 23 | Good | 6 | Good | 56 | Moderate | 36.7365 | -95.9456 |
Pakistan | Bat Khela | 117 | Unhealthy for Sensitive Groups | 1 | Good | 117 | Unhealthy for Sensitive Groups | 1 | Good | 78 | Moderate | 34.62 | 71.97 |
Malaysia | Batu Gajah | 92 | Moderate | 2 | Good | 57 | Moderate | 1 | Good | 92 | Moderate | 4.4667 | 101.05 |
Italy | Castel Goffredo | 124 | Unhealthy for Sensitive Groups | 2 | Good | 32 | Good | 7 | Good | 124 | Unhealthy for Sensitive Groups | 45.2981 | 10.475 |
Italy | Catanzaro | 68 | Moderate | 2 | Good | 68 | Moderate | 6 | Good | 57 | Moderate | 38.9 | 16.6 |
Philippines | Catbalogan | 68 | Moderate | 1 | Good | 26 | Good | 0 | Good | 68 | Moderate | 11.7833 | 124.8833 |
Ecuador | Cayambe | 39 | Good | 1 | Good | 4 | Good | 2 | Good | 39 | Good | 0.0439 | -78.1561 |
Italy | Cesenatico | 38 | Good | 1 | Good | 36 | Good | 5 | Good | 38 | Good | 44.2 | 12.3944 |
Argentina | Chacabuco | 17 | Good | 0 | Good | 17 | Good | 1 | Good | 17 | Good | -34.6333 | -60.4667 |
Peru | Chachapoyas | 21 | Good | 0 | Good | 4 | Good | 0 | Good | 21 | Good | -6.2167 | -77.85 |
China | Chaoyang | 151 | Unhealthy | 3 | Good | 119 | Unhealthy for Sensitive Groups | 1 | Good | 151 | Unhealthy | 41.5757 | 120.4486 |
Russian Federation | Cherepanovo | 38 | Good | 1 | Good | 38 | Good | 0 | Good | 35 | Good | 54.2333 | 83.3667 |
Russian Federation | Cherkessk | 49 | Good | 1 | Good | 40 | Good | 0 | Good | 49 | Good | 44.2222 | 42.0575 |
Mexico | Chilpancingo | 72 | Moderate | 2 | Good | 4 | Good | 5 | Good | 72 | Moderate | 17.55 | -99.5 |
United States of America | Cimarron Hills | 73 | Moderate | 1 | Good | 32 | Good | 2 | Good | 73 | Moderate | 38.8597 | -104.6995 |
Brazil | Coari | 46 | Good | 1 | Good | 2 | Good | 0 | Good | 46 | Good | -4.085 | -63.1408 |
United Kingdom of Great Britain and Northern Ireland | Coatbridge | 35 | Good | 1 | Good | 12 | Good | 9 | Good | 35 | Good | 55.8625 | -4.0266 |
Ireland | Cobh | 24 | Good | 0 | Good | 24 | Good | 1 | Good | 16 | Good | 51.851 | -8.2967 |
Brazil | Colatina | 45 | Good | 1 | Good | 14 | Good | 2 | Good | 45 | Good | -19.5389 | -40.6308 |
Dominican Republic | Comendador | 65 | Moderate | 1 | Good | 12 | Good | 6 | Good | 65 | Moderate | 18.8833 | -71.7 |
Italy | Como | 112 | Unhealthy for Sensitive Groups | 1 | Good | 34 | Good | 4 | Good | 112 | Unhealthy for Sensitive Groups | 45.8103 | 9.0861 |
Brazil | Conde | 19 | Good | 0 | Good | 19 | Good | 0 | Good | 11 | Good | -11.8139 | -37.6108 |
United Kingdom of Great Britain and Northern Ireland | Consett | 31 | Good | 0 | Good | 31 | Good | 2 | Good | 22 | Good | 54.85 | -1.83 |
United States of America | Cooper City | 152 | Unhealthy | 4 | Good | 4 | Good | 19 | Good | 152 | Unhealthy | 26.0463 | -80.2862 |
United States of America | Copperas Cove | 31 | Good | 1 | Good | 21 | Good | 1 | Good | 31 | Good | 31.1192 | -97.914 |
Argentina | Corrientes | 13 | Good | 1 | Good | 12 | Good | 0 | Good | 13 | Good | -27.4833 | -58.8167 |
Italy | Crevalcore | 103 | Unhealthy for Sensitive Groups | 2 | Good | 28 | Good | 9 | Good | 103 | Unhealthy for Sensitive Groups | 44.7167 | 11.15 |
Azerbaijan | Culfa | 52 | Moderate | 1 | Good | 35 | Good | 0 | Good | 52 | Moderate | 38.9558 | 45.6308 |
Spain | Culleredo | 30 | Good | 0 | Good | 30 | Good | 2 | Good | 13 | Good | 43.2883 | -8.3894 |
India | Cuncolim | 73 | Moderate | 0 | Good | 25 | Good | 0 | Good | 73 | Moderate | 15.1773 | 73.9939 |
Brazil | Curvelo | 42 | Good | 1 | Good | 2 | Good | 4 | Good | 42 | Good | -18.7558 | -44.4308 |
Germany | Cuxhaven | 35 | Good | 0 | Good | 35 | Good | 0 | Good | 30 | Good | 53.8611 | 8.6944 |
United States of America | Cypress Lake | 46 | Good | 1 | Good | 25 | Good | 5 | Good | 46 | Good | 26.5392 | -81.8999 |
Guinea | Dalaba | 63 | Moderate | 2 | Good | 13 | Good | 0 | Good | 63 | Moderate | 10.656 | -12.272 |
France | Beaune | 39 | Good | 1 | Good | 26 | Good | 1 | Good | 39 | Good | 47.025 | 4.8397 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 52.135 | -0.47 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 32.8464 | -97.135 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 42.9406 | -71.5302 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 41.225 | -73.6673 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 42.4969 | -71.2783 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 38.8602 | -86.4895 |
United States of America | Bedford | 56 | Moderate | 1 | Good | 18 | Good | 6 | Good | 56 | Moderate | 41.3919 | -81.536 |
Ghana | Begoro | 105 | Unhealthy for Sensitive Groups | 2 | Good | 13 | Good | 2 | Good | 105 | Unhealthy for Sensitive Groups | 6.3833 | -0.3833 |
China | Beipiao | 93 | Moderate | 2 | Good | 90 | Moderate | 1 | Good | 93 | Moderate | 41.802 | 120.7621 |
Brazil | Bela Cruz | 45 | Good | 0 | Good | 22 | Good | 0 | Good | 45 | Good | -3.0508 | -40.1678 |
Bolivia (Plurinational State of) | Bermejo | 54 | Moderate | 1 | Good | 8 | Good | 1 | Good | 54 | Moderate | -22.7322 | -64.3425 |
Germany | Bernburg | 36 | Good | 0 | Good | 29 | Good | 2 | Good | 36 | Good | 51.8 | 11.7333 |
United States of America | Berwick | 50 | Good | 1 | Good | 35 | Good | 5 | Good | 50 | Good | 41.0555 | -76.2492 |
India | Betma | 153 | Unhealthy | 1 | Good | 34 | Good | 0 | Good | 153 | Unhealthy | 22.68 | 75.62 |
United States of America | Beverly | 48 | Good | 1 | Good | 36 | Good | 5 | Good | 48 | Good | 42.5681 | -70.8627 |
Russian Federation | Bezhetsk | 24 | Good | 0 | Good | 24 | Good | 0 | Good | 24 | Good | 57.7667 | 36.7 |
Pakistan | Bhalwal | 179 | Unhealthy | 3 | Good | 179 | Unhealthy | 2 | Good | 166 | Unhealthy | 32.2656 | 72.8994 |
India | Bhiwandi | 151 | Unhealthy | 1 | Good | 26 | Good | 1 | Good | 151 | Unhealthy | 19.2967 | 73.0631 |
Indonesia | Binjai | 92 | Moderate | 2 | Good | 45 | Good | 0 | Good | 92 | Moderate | 3.5986 | 98.4803 |
Russian Federation | Baksan | 48 | Good | 1 | Good | 39 | Good | 1 | Good | 48 | Good | 43.6825 | 43.5339 |
Colombia | Baranoa | 104 | Unhealthy for Sensitive Groups | 1 | Good | 16 | Good | 2 | Good | 104 | Unhealthy for Sensitive Groups | 10.8 | -74.9167 |
Philippines | Baras | 51 | Moderate | 1 | Good | 27 | Good | 1 | Good | 51 | Moderate | 14.5167 | 121.2667 |
Philippines | Baras | 51 | Moderate | 1 | Good | 27 | Good | 1 | Good | 51 | Moderate | 13.6667 | 124.3667 |
Thailand | Nong Bua | 38 | Good | 0 | Good | 20 | Good | 0 | Good | 38 | Good | 15.8647 | 100.5858 |
Netherlands | Noordwijkerhout | 41 | Good | 1 | Good | 27 | Good | 5 | Good | 41 | Good | 52.2667 | 4.5 |
United States of America | Northbridge | 47 | Good | 1 | Good | 46 | Good | 2 | Good | 47 | Good | 42.13 | -71.6547 |
United Kingdom of Great Britain and Northern Ireland | Norwich | 29 | Good | 0 | Good | 29 | Good | 3 | Good | 18 | Good | 52.6286 | 1.2928 |
United Kingdom of Great Britain and Northern Ireland | Norwich | 29 | Good | 0 | Good | 29 | Good | 3 | Good | 18 | Good | 41.5495 | -72.0882 |
United Kingdom of Great Britain and Northern Ireland | Norwich | 29 | Good | 0 | Good | 29 | Good | 3 | Good | 18 | Good | 42.9833 | -80.6 |
Netherlands | Nuenen | 37 | Good | 1 | Good | 32 | Good | 3 | Good | 37 | Good | 51.4733 | 5.5467 |
Chile | Nueva Imperial | 61 | Moderate | 2 | Good | 2 | Good | 9 | Good | 61 | Moderate | -38.7433 | -72.95 |
Mexico | Nuevo Casas Grandes | 46 | Good | 1 | Good | 17 | Good | 2 | Good | 46 | Good | 30.4167 | -107.9167 |
United States of America | Oak Lawn | 79 | Moderate | 2 | Good | 13 | Good | 27 | Good | 79 | Moderate | 41.7139 | -87.7528 |
United States of America | Oakdale | 53 | Moderate | 1 | Good | 24 | Good | 9 | Good | 53 | Moderate | 44.9876 | -92.9641 |
United States of America | Oakdale | 53 | Moderate | 1 | Good | 24 | Good | 9 | Good | 53 | Moderate | 37.7618 | -120.8468 |
Japan | Odawara | 39 | Good | 1 | Good | 38 | Good | 2 | Good | 39 | Good | 35.25 | 139.15 |
Republic of North Macedonia | Ohrid | 42 | Good | 1 | Good | 41 | Good | 0 | Good | 42 | Good | 41.1169 | 20.8019 |
Poland | Olecko | 47 | Good | 1 | Good | 36 | Good | 0 | Good | 47 | Good | 54.0333 | 22.5 |
Germany | Olfen | 32 | Good | 1 | Good | 27 | Good | 4 | Good | 32 | Good | 51.7167 | 7.3833 |
Brazil | Olindina | 25 | Good | 0 | Good | 6 | Good | 1 | Good | 25 | Good | -11.3669 | -38.3328 |
United States of America | Orem | 73 | Moderate | 2 | Good | 26 | Good | 7 | Good | 73 | Moderate | 40.2981 | -111.6994 |
United States of America | Orinda | 52 | Moderate | 1 | Good | 22 | Good | 11 | Good | 52 | Moderate | 37.8808 | -122.179 |
Guatemala | Ostuncalco | 94 | Moderate | 3 | Good | 9 | Good | 11 | Good | 94 | Moderate | 14.8693 | -91.6211 |
Nigeria | Oyo | 80 | Moderate | 2 | Good | 22 | Good | 1 | Good | 80 | Moderate | 7.85 | 3.933 |
Italy | Pachino | 48 | Good | 1 | Good | 45 | Good | 0 | Good | 48 | Good | 36.7167 | 15.1 |
India | Padra | 156 | Unhealthy | 1 | Good | 33 | Good | 0 | Good | 156 | Unhealthy | 22.23 | 73.08 |
France | Paita | 27 | Good | 0 | Good | 27 | Good | 0 | Good | 10 | Good | -5.0911 | -81.1064 |
Philippines | Palo | 55 | Moderate | 1 | Good | 20 | Good | 0 | Good | 55 | Moderate | 11.1583 | 124.9917 |
China | Panshi | 76 | Moderate | 3 | Good | 32 | Good | 2 | Good | 76 | Moderate | 42.9392 | 126.0561 |
Brazil | Paragominas | 36 | Good | 1 | Good | 2 | Good | 0 | Good | 36 | Good | -2.9958 | -47.3528 |
Peru | Paramonga | 41 | Good | 1 | Good | 18 | Good | 1 | Good | 41 | Good | -10.6744 | -77.8186 |
United States of America | Parkville | 56 | Moderate | 1 | Good | 44 | Good | 4 | Good | 56 | Moderate | 39.3832 | -76.5519 |
United States of America | Pasadena | 58 | Moderate | 1 | Good | 43 | Good | 5 | Good | 58 | Moderate | 29.6575 | -95.1498 |
United States of America | Pasadena | 58 | Moderate | 1 | Good | 43 | Good | 5 | Good | 58 | Moderate | 34.1597 | -118.139 |
United States of America | Pasadena | 58 | Moderate | 1 | Good | 43 | Good | 5 | Good | 58 | Moderate | 39.1552 | -76.5537 |
United States of America | Pataskala | 45 | Good | 1 | Good | 32 | Good | 7 | Good | 45 | Good | 40.011 | -82.7155 |
Kazakhstan | Pavlodar | 50 | Good | 1 | Good | 41 | Good | 0 | Good | 50 | Good | 52.3 | 76.95 |
United States of America | Pelham | 46 | Good | 1 | Good | 46 | Good | 2 | Good | 31 | Good | 40.9 | -73.8063 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.