covid
This data as json, yaml, Notebook, copyable, CSV
day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-29 | Peru | Amazonas | 16511 | 528 | 0 | 15983 | -5.077253 | -78.050172 | 2020-10-30 04:24:49 | Amazonas, Peru | ||
2020-10-29 | Peru | Ancash | 25889 | 2635 | 0 | 23254 | -9.407125 | -77.67179499999997 | 2020-10-30 04:24:49 | Ancash, Peru | ||
2020-10-29 | Peru | Apurimac | 5678 | 268 | 0 | 5410 | -14.027713 | -72.975378 | 2020-10-30 04:24:49 | Apurimac, Peru | ||
2020-10-29 | Peru | Arequipa | 44423 | 3976 | 0 | 40447 | -15.843524 | -72.475539 | 2020-10-30 04:24:49 | Arequipa, Peru | ||
2020-10-29 | Peru | Ayacucho | 13095 | 767 | 0 | 12328 | -14.091648 | -74.08344 | 2020-10-30 04:24:49 | Ayacucho, Peru | ||
2020-10-29 | Peru | Cajamarca | 22026 | 1441 | 0 | 20585 | -6.430284 | -78.74559599999998 | 2020-10-30 04:24:49 | Cajamarca, Peru | ||
2020-10-29 | Peru | Callao | 36867 | 4910 | 0 | 31957 | -11.954609 | -77.136042 | 2020-10-30 04:24:49 | Callao, Peru | ||
2020-10-29 | Peru | Cusco | 22232 | 1443 | 0 | 20789 | -13.191068 | -72.153609 | 2020-10-30 04:24:49 | Cusco, Peru | ||
2020-10-29 | Peru | Huancavelica | 7201 | 360 | 0 | 6841 | -13.023888 | -75.00277 | 2020-10-30 04:24:49 | Huancavelica, Peru | ||
2020-10-29 | Peru | Huanuco | 17238 | 937 | 0 | 16301 | -9.421676 | -76.040642 | 2020-10-30 04:24:49 | Huanuco, Peru | ||
2020-10-29 | Peru | Ica | 29565 | 3405 | 0 | 26160 | -14.235097 | -75.574821 | 2020-10-30 04:24:49 | Ica, Peru | ||
2020-10-29 | Peru | Junin | 22799 | 2227 | 0 | 20572 | -11.541783 | -74.876968 | 2020-10-30 04:24:49 | Junin, Peru | ||
2020-10-29 | Peru | La Libertad | 32516 | 4425 | 0 | 28091 | -7.92139 | -78.370238 | 2020-10-30 04:24:49 | La Libertad, Peru | ||
2020-10-29 | Peru | Lambayeque | 28510 | 4029 | 0 | 24481 | -6.353049 | -79.824113 | 2020-10-30 04:24:49 | Lambayeque, Peru | ||
2020-10-29 | Peru | Lima | 404792 | 39590 | 0 | 365202 | -11.766533 | -76.60449799999998 | 2020-10-30 04:24:49 | Lima, Peru | ||
2020-10-29 | Peru | Loreto | 21872 | 2693 | 0 | 19179 | -4.124847 | -74.424115 | 2020-10-30 04:24:49 | Loreto, Peru | ||
2020-10-29 | Peru | Madre de Dios | 8734 | 145 | 0 | 8589 | -11.972699 | -70.53171999999998 | 2020-10-30 04:24:49 | Madre de Dios, Peru | ||
2020-10-29 | Peru | Moquegua | 14222 | 812 | 0 | 13410 | -16.860271 | -70.839046 | 2020-10-30 04:24:49 | Moquegua, Peru | ||
2020-10-29 | Peru | Pasco | 5638 | 280 | 0 | 5358 | -10.39655 | -75.307635 | 2020-10-30 04:24:49 | Pasco, Peru | ||
2020-10-29 | Peru | Piura | 38151 | 5505 | 0 | 32646 | -5.133361 | -80.335861 | 2020-10-30 04:24:49 | Piura, Peru | ||
2020-10-29 | Peru | Puno | 16989 | 1400 | 0 | 15589 | -14.995826999999998 | -69.922726 | 2020-10-30 04:24:49 | Puno, Peru | ||
2020-10-29 | Peru | San Martin | 20932 | 1527 | 0 | 19405 | -7.039531 | -76.729127 | 2020-10-30 04:24:49 | San Martin, Peru | ||
2020-10-29 | Peru | Tacna | 12972 | 751 | 0 | 12221 | -17.644160999999997 | -70.27756 | 2020-10-30 04:24:49 | Tacna, Peru | ||
2020-10-29 | Peru | Tumbes | 8375 | 699 | 0 | 7676 | -3.857496 | -80.54525500000003 | 2020-10-30 04:24:49 | Tumbes, Peru | ||
2020-10-29 | Peru | Ucayali | 17701 | 1510 | 0 | 16191 | -9.621718 | -73.444929 | 2020-10-30 04:24:49 | Ucayali, Peru | ||
2020-10-29 | Peru | Unknown | 0 | 0 | 819717 | 0 | 2020-10-30 04:24:49 | Unknown, Peru |