covid
This data as json, yaml, Notebook, copyable, CSV
rowid | day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2191746 | 2020-10-21 | Peru | Amazonas | 15962 | 520 | 0 | 15442 | -5.077253 | -78.050172 | 2020-10-22 04:24:27 | Amazonas, Peru | ||
2191747 | 2020-10-21 | Peru | Ancash | 25079 | 2605 | 0 | 22474 | -9.407125 | -77.67179499999997 | 2020-10-22 04:24:27 | Ancash, Peru | ||
2191748 | 2020-10-21 | Peru | Apurimac | 5429 | 258 | 0 | 5171 | -14.027713 | -72.975378 | 2020-10-22 04:24:27 | Apurimac, Peru | ||
2191749 | 2020-10-21 | Peru | Arequipa | 43646 | 3947 | 0 | 39699 | -15.843524 | -72.475539 | 2020-10-22 04:24:27 | Arequipa, Peru | ||
2191750 | 2020-10-21 | Peru | Ayacucho | 12692 | 752 | 0 | 11940 | -14.091648 | -74.08344 | 2020-10-22 04:24:27 | Ayacucho, Peru | ||
2191751 | 2020-10-21 | Peru | Cajamarca | 21465 | 1417 | 0 | 20048 | -6.430284 | -78.74559599999998 | 2020-10-22 04:24:27 | Cajamarca, Peru | ||
2191752 | 2020-10-21 | Peru | Callao | 35826 | 4875 | 0 | 30951 | -11.954609 | -77.136042 | 2020-10-22 04:24:27 | Callao, Peru | ||
2191753 | 2020-10-21 | Peru | Cusco | 21734 | 1413 | 0 | 20321 | -13.191068 | -72.153609 | 2020-10-22 04:24:27 | Cusco, Peru | ||
2191754 | 2020-10-21 | Peru | Huancavelica | 7095 | 353 | 0 | 6742 | -13.023888 | -75.00277 | 2020-10-22 04:24:27 | Huancavelica, Peru | ||
2191755 | 2020-10-21 | Peru | Huanuco | 16894 | 920 | 0 | 15974 | -9.421676 | -76.040642 | 2020-10-22 04:24:27 | Huanuco, Peru | ||
2191756 | 2020-10-21 | Peru | Ica | 29186 | 3369 | 0 | 25817 | -14.235097 | -75.574821 | 2020-10-22 04:24:27 | Ica, Peru | ||
2191757 | 2020-10-21 | Peru | Junin | 21903 | 2199 | 0 | 19704 | -11.541783 | -74.876968 | 2020-10-22 04:24:27 | Junin, Peru | ||
2191758 | 2020-10-21 | Peru | La Libertad | 31584 | 4387 | 0 | 27197 | -7.92139 | -78.370238 | 2020-10-22 04:24:27 | La Libertad, Peru | ||
2191759 | 2020-10-21 | Peru | Lambayeque | 27820 | 3948 | 0 | 23872 | -6.353049 | -79.824113 | 2020-10-22 04:24:27 | Lambayeque, Peru | ||
2191760 | 2020-10-21 | Peru | Lima | 396451 | 39212 | 0 | 357239 | -11.766533 | -76.60449799999998 | 2020-10-22 04:24:27 | Lima, Peru | ||
2191761 | 2020-10-21 | Peru | Loreto | 21265 | 2685 | 0 | 18580 | -4.124847 | -74.424115 | 2020-10-22 04:24:27 | Loreto, Peru | ||
2191762 | 2020-10-21 | Peru | Madre de Dios | 8645 | 143 | 0 | 8502 | -11.972699 | -70.53171999999998 | 2020-10-22 04:24:27 | Madre de Dios, Peru | ||
2191763 | 2020-10-21 | Peru | Moquegua | 13907 | 802 | 0 | 13105 | -16.860271 | -70.839046 | 2020-10-22 04:24:27 | Moquegua, Peru | ||
2191764 | 2020-10-21 | Peru | Pasco | 5523 | 278 | 0 | 5245 | -10.39655 | -75.307635 | 2020-10-22 04:24:27 | Pasco, Peru | ||
2191765 | 2020-10-21 | Peru | Piura | 37496 | 5454 | 0 | 32042 | -5.133361 | -80.335861 | 2020-10-22 04:24:27 | Piura, Peru | ||
2191766 | 2020-10-21 | Peru | Puno | 16480 | 1373 | 0 | 15107 | -14.995826999999998 | -69.922726 | 2020-10-22 04:24:27 | Puno, Peru | ||
2191767 | 2020-10-21 | Peru | San Martin | 20016 | 1510 | 0 | 18506 | -7.039531 | -76.729127 | 2020-10-22 04:24:27 | San Martin, Peru | ||
2191768 | 2020-10-21 | Peru | Tacna | 12762 | 741 | 0 | 12021 | -17.644160999999997 | -70.27756 | 2020-10-22 04:24:27 | Tacna, Peru | ||
2191769 | 2020-10-21 | Peru | Tumbes | 7974 | 689 | 0 | 7285 | -3.857496 | -80.54525500000003 | 2020-10-22 04:24:27 | Tumbes, Peru | ||
2191770 | 2020-10-21 | Peru | Ucayali | 17284 | 1505 | 0 | 15779 | -9.621718 | -73.444929 | 2020-10-22 04:24:27 | Ucayali, Peru | ||
2191771 | 2020-10-21 | Peru | Unknown | 0 | 0 | 788494 | 0 | 2020-10-22 04:24:27 | Unknown, Peru |