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 States of America | Pelham | 46 | Good | 1 | Good | 46 | Good | 2 | Good | 31 | Good | 33.3114 | -86.7573 |
United States of America | Pelham | 46 | Good | 1 | Good | 46 | Good | 2 | Good | 31 | Good | 43.0333 | -79.3333 |
United States of America | Pelham | 46 | Good | 1 | Good | 46 | Good | 2 | Good | 31 | Good | 42.7335 | -71.324 |
Mexico | Perote | 77 | Moderate | 3 | Good | 7 | Good | 8 | Good | 77 | Moderate | 19.562 | -97.242 |
Serbia | Petrovaradin | 63 | Moderate | 1 | Good | 33 | Good | 1 | Good | 63 | Moderate | 45.25 | 19.8667 |
Thailand | Phatthalung | 59 | Moderate | 1 | Good | 27 | Good | 0 | Good | 59 | Moderate | 7.5 | 100 |
Thailand | Phetchaburi | 35 | Good | 0 | Good | 17 | Good | 0 | Good | 35 | Good | 13.1119 | 99.9458 |
India | Phillaur | 444 | Hazardous | 2 | Good | 111 | Unhealthy for Sensitive Groups | 1 | Good | 391 | Hazardous | 31.03 | 75.78 |
Egypt | Rosetta | 60 | Moderate | 2 | Good | 60 | Moderate | 3 | Good | 55 | Moderate | 31.4044 | 30.4164 |
Italy | Rossano | 48 | Good | 1 | Good | 48 | Good | 0 | Good | 12 | Good | 39.5667 | 16.6333 |
Russian Federation | Rostov | 32 | Good | 1 | Good | 32 | Good | 0 | Good | 26 | Good | 47.2333 | 39.7 |
Russian Federation | Rostov | 32 | Good | 1 | Good | 32 | Good | 0 | Good | 26 | Good | 57.1833 | 39.4167 |
United Kingdom of Great Britain and Northern Ireland | Royton | 56 | Moderate | 0 | Good | 32 | Good | 1 | Good | 56 | Moderate | 53.566 | -2.121 |
Germany | Rudolstadt | 32 | Good | 1 | Good | 32 | Good | 1 | Good | 30 | Good | 50.7169 | 11.3275 |
Czechia | Rumburk | 29 | Good | 0 | Good | 29 | Good | 2 | Good | 29 | Good | 50.9516 | 14.5571 |
Malawi | Rumphi | 28 | Good | 0 | Good | 19 | Good | 0 | Good | 28 | Good | -11.0167 | 33.8667 |
Brazil | Ruy Barbosa | 18 | Good | 0 | Good | 8 | Good | 0 | Good | 18 | Good | -12.2839 | -40.4939 |
Japan | Sakurai | 40 | Good | 1 | Good | 40 | Good | 2 | Good | 34 | Good | 34.5167 | 135.85 |
United Kingdom of Great Britain and Northern Ireland | Salford | 58 | Moderate | 0 | Good | 32 | Good | 1 | Good | 58 | Moderate | 53.483 | -2.2931 |
Brazil | Salvador | 30 | Good | 0 | Good | 16 | Good | 1 | Good | 30 | Good | -12.9747 | -38.4767 |
Brazil | Salvador | 30 | Good | 0 | Good | 16 | Good | 1 | Good | 30 | Good | 20.2094 | -75.2231 |
Turkey | Samsun | 36 | Good | 1 | Good | 36 | Good | 0 | Good | 30 | Good | 41.2903 | 36.3336 |
Indonesia | Prabumulih | 49 | Good | 1 | Good | 30 | Good | 0 | Good | 49 | Good | -3.4328 | 104.2356 |
Brazil | Presidente Prudente | 32 | Good | 1 | Good | 14 | Good | 1 | Good | 32 | Good | -22.1256 | -51.3889 |
United States of America | Prichard | 28 | Good | 1 | Good | 22 | Good | 4 | Good | 28 | Good | 30.7735 | -88.1301 |
Canada | Prince George | 21 | Good | 1 | Good | 21 | Good | 1 | Good | 13 | Good | 53.9169 | -122.7494 |
Peru | Pucallpa | 30 | Good | 1 | Good | 1 | Good | 0 | Good | 30 | Good | -8.3833 | -74.55 |
Spain | Puertollano | 32 | Good | 1 | Good | 30 | Good | 1 | Good | 32 | Good | 38.6833 | -4.1167 |
Israel | Qiryat Gat | 80 | Moderate | 1 | Good | 62 | Moderate | 4 | Good | 80 | Moderate | 31.6061 | 34.7717 |
Chile | Quillota | 182 | Unhealthy | 14 | Good | 1 | Good | 23 | Good | 182 | Unhealthy | -32.8667 | -71.25 |
India | Rafiganj | 356 | Hazardous | 1 | Good | 60 | Moderate | 0 | Good | 284 | Very Unhealthy | 24.82 | 84.65 |
United States of America | Rahway | 62 | Moderate | 1 | Good | 44 | Good | 5 | Good | 62 | Moderate | 40.6077 | -74.2807 |
India | Phulpur | 226 | Very Unhealthy | 1 | Good | 48 | Good | 1 | Good | 226 | Very Unhealthy | 24.955 | 90.3573 |
India | Phulpur | 226 | Very Unhealthy | 1 | Good | 48 | Good | 1 | Good | 226 | Very Unhealthy | 25.55 | 82.1 |
Brazil | Picos | 16 | Good | 0 | Good | 12 | Good | 0 | Good | 16 | Good | 15.083 | -23.632 |
Brazil | Picos | 16 | Good | 0 | Good | 12 | Good | 0 | Good | 16 | Good | -7.0769 | -41.4669 |
Germany | Pirmasens | 30 | Good | 1 | Good | 27 | Good | 2 | Good | 30 | Good | 49.2 | 7.6 |
United States of America | Plum | 55 | Moderate | 2 | Good | 26 | Good | 12 | Good | 55 | Moderate | 40.5024 | -79.7495 |
Italy | Policoro | 46 | Good | 1 | Good | 46 | Good | 0 | Good | 14 | Good | 40.2 | 16.6667 |
Sierra Leone | Port Loko | 48 | Good | 1 | Good | 16 | Good | 0 | Good | 48 | Good | 8.7667 | -12.7875 |
United States of America | Poughkeepsie | 43 | Good | 1 | Good | 43 | Good | 2 | Good | 39 | Good | 41.695 | -73.9211 |
United States of America | Randallstown | 52 | Moderate | 1 | Good | 44 | Good | 4 | Good | 52 | Moderate | 39.3723 | -76.8024 |
Thailand | Ranong | 36 | Good | 0 | Good | 16 | Good | 0 | Good | 36 | Good | 9.9619 | 98.6389 |
Germany | Rathenow | 39 | Good | 0 | Good | 39 | Good | 0 | Good | 23 | Good | 52.6 | 12.3333 |
Russian Federation | Reutov | 58 | Moderate | 1 | Good | 25 | Good | 9 | Good | 58 | Moderate | 55.7622 | 37.8567 |
United States of America | Richardson | 56 | Moderate | 1 | Good | 21 | Good | 6 | Good | 56 | Moderate | 32.9716 | -96.7093 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 37.5295 | -77.4756 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 49.1667 | -123.1333 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 37.9477 | -122.3389 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | -41.3333 | 173.1833 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 39.8318 | -84.8905 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 37.7307 | -84.2925 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 51.456 | -0.301 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | 29.5824 | -95.7563 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | -33.5983 | 150.7511 |
United States of America | Richmond | 76 | Moderate | 2 | Good | 15 | Good | 17 | Good | 76 | Moderate | -20.7305 | 143.1425 |
Peru | Rioja | 25 | Good | 1 | Good | 3 | Good | 0 | Good | 25 | Good | -6.05 | -77.1417 |
France | Riom | 40 | Good | 1 | Good | 30 | Good | 1 | Good | 40 | Good | 45.8936 | 3.1125 |
Italy | Rocca Priora | 47 | Good | 1 | Good | 47 | Good | 2 | Good | 27 | Good | 41.7833 | 12.7667 |
France | Rodez | 42 | Good | 1 | Good | 31 | Good | 1 | Good | 42 | Good | 44.3506 | 2.575 |
Philippines | Romblon | 50 | Good | 1 | Good | 23 | Good | 0 | Good | 50 | Good | 12.55 | 122.28 |
United States of America | Daly City | 62 | Moderate | 1 | Good | 18 | Good | 13 | Good | 62 | Moderate | 37.6862 | -122.4685 |
Brazil | Delmiro Gouveia | 25 | Good | 0 | Good | 9 | Good | 1 | Good | 25 | Good | -9.3858 | -37.9958 |
Russian Federation | Desnogorsk | 34 | Good | 1 | Good | 34 | Good | 0 | Good | 10 | Good | 54.15 | 33.2833 |
Turkey | Develi | 46 | Good | 1 | Good | 29 | Good | 0 | Good | 46 | Good | 38.3886 | 35.4925 |
Ukraine | Dniprorudne | 39 | Good | 1 | Good | 39 | Good | 0 | Good | 12 | Good | 47.3907 | 35.0027 |
Benin | Dogbo | 101 | Unhealthy for Sensitive Groups | 3 | Good | 18 | Good | 2 | Good | 101 | Unhealthy for Sensitive Groups | 6.8167 | 1.7833 |
United States of America | Dumas | 60 | Moderate | 1 | Good | 22 | Good | 3 | Good | 60 | Moderate | 35.8613 | -101.9642 |
United States of America | Dyersburg | 93 | Moderate | 1 | Good | 24 | Good | 5 | Good | 93 | Moderate | 36.0465 | -89.3777 |
United States of America | Eatontown | 28 | Good | 1 | Good | 28 | Good | 8 | Good | 25 | Good | 40.2913 | -74.0558 |
United States of America | El Campo | 39 | Good | 1 | Good | 22 | Good | 1 | Good | 39 | Good | 29.2 | -96.2723 |
United States of America | Ellicott City | 44 | Good | 1 | Good | 27 | Good | 10 | Good | 44 | Good | 39.2774 | -76.8345 |
Japan | Ena | 42 | Good | 1 | Good | 42 | Good | 0 | Good | 12 | Good | 35.4492 | 137.4128 |
Italy | Giussano | 62 | Moderate | 1 | Good | 32 | Good | 4 | Good | 62 | Moderate | 45.7 | 9.2167 |
United Kingdom of Great Britain and Northern Ireland | Glenrothes | 35 | Good | 1 | Good | 22 | Good | 6 | Good | 35 | Good | 56.198 | -3.178 |
United Kingdom of Great Britain and Northern Ireland | Glossop | 27 | Good | 1 | Good | 25 | Good | 3 | Good | 27 | Good | 53.443 | -1.949 |
Namibia | Gobabis | 19 | Good | 0 | Good | 18 | Good | 0 | Good | 19 | Good | -22.4333 | 18.9667 |
India | Gobindpur | 175 | Unhealthy | 1 | Good | 51 | Moderate | 1 | Good | 175 | Unhealthy | 24.782 | 85.6943 |
Spain | Godella | 33 | Good | 1 | Good | 33 | Good | 1 | Good | 28 | Good | 39.52 | -0.4114 |
Brazil | Goiatuba | 37 | Good | 1 | Good | 3 | Good | 3 | Good | 37 | Good | -18.0128 | -49.3569 |
Netherlands | Goirle | 30 | Good | 0 | Good | 30 | Good | 2 | Good | 27 | Good | 51.5167 | 5.0667 |
United States of America | Golden Glades | 61 | Moderate | 1 | Good | 10 | Good | 16 | Good | 61 | Moderate | 25.9129 | -80.2013 |
Albania | Gramsh | 68 | Moderate | 1 | Good | 39 | Good | 1 | Good | 68 | Moderate | 40.8667 | 20.1833 |
United States of America | Granger | 57 | Moderate | 2 | Good | 21 | Good | 11 | Good | 57 | Moderate | 41.7374 | -86.1348 |
United States of America | Grants Pass | 29 | Good | 1 | Good | 29 | Good | 2 | Good | 27 | Good | 42.4333 | -123.3317 |
null | Granville | 30 | Good | 1 | Good | 30 | Good | 3 | Good | 25 | Good | 48.8381 | -1.5869 |
Mexico | Guasave | 35 | Good | 1 | Good | 22 | Good | 1 | Good | 35 | Good | 25.5744 | -108.4706 |
Germany | Guben | 37 | Good | 1 | Good | 21 | Good | 4 | Good | 37 | Good | 51.9533 | 14.7167 |
Cameroon | Guider | 76 | Moderate | 3 | Good | 8 | Good | 1 | Good | 76 | Moderate | 9.9342 | 13.9486 |
China | Guilin | 90 | Moderate | 3 | Good | 46 | Good | 3 | Good | 90 | Moderate | 25.2819 | 110.2864 |
France | Guipavas | 34 | Good | 1 | Good | 26 | Good | 9 | Good | 34 | Good | 48.4336 | -4.4008 |
United States of America | Fort Walton Beach | 65 | Moderate | 1 | Good | 30 | Good | 1 | Good | 65 | Moderate | 30.4255 | -86.6222 |
France | Fosses | 29 | Good | 0 | Good | 28 | Good | 2 | Good | 29 | Good | 49.0981 | 2.5067 |
United States of America | Fountain Hills | 37 | Good | 1 | Good | 27 | Good | 8 | Good | 37 | Good | 33.6073 | -111.7398 |
United States of America | Fountain | 72 | Moderate | 1 | Good | 29 | Good | 3 | Good | 72 | Moderate | 38.6886 | -104.6829 |
Brazil | Francisco Morato | 169 | Unhealthy | 7 | Good | 0 | Good | 21 | Good | 169 | Unhealthy | -23.2817 | -46.7425 |
Germany | Freiberg | 36 | Good | 1 | Good | 25 | Good | 3 | Good | 36 | Good | 50.9119 | 13.3428 |
United States of America | Front Royal | 46 | Good | 1 | Good | 37 | Good | 2 | Good | 46 | Good | 38.926 | -78.1838 |
Germany | Gaggenau | 29 | Good | 0 | Good | 29 | Good | 2 | Good | 26 | Good | 48.8039 | 8.3194 |
Israel | Gan Yavne | 77 | Moderate | 1 | Good | 43 | Good | 6 | Good | 77 | Moderate | 31.7886 | 34.7053 |
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