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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3836631 | 2020-11-21 | Peru | Amazonas | 17665 | 544 | 0 | 17121 | -5.077253 | -78.050172 | 2020-11-22 05:25:45 | Amazonas, Peru | ||
3836632 | 2020-11-21 | Peru | Ancash | 28158 | 2719 | 0 | 25439 | -9.407125 | -77.67179499999997 | 2020-11-22 05:25:45 | Ancash, Peru | ||
3836633 | 2020-11-21 | Peru | Apurimac | 6308 | 300 | 0 | 6008 | -14.027713 | -72.975378 | 2020-11-22 05:25:45 | Apurimac, Peru | ||
3836634 | 2020-11-21 | Peru | Arequipa | 45834 | 4070 | 0 | 41764 | -15.843524 | -72.475539 | 2020-11-22 05:25:45 | Arequipa, Peru | ||
3836635 | 2020-11-21 | Peru | Ayacucho | 14231 | 791 | 0 | 13440 | -14.091648 | -74.08344 | 2020-11-22 05:25:45 | Ayacucho, Peru | ||
3836636 | 2020-11-21 | Peru | Cajamarca | 23472 | 1500 | 0 | 21972 | -6.430284 | -78.74559599999998 | 2020-11-22 05:25:45 | Cajamarca, Peru | ||
3836637 | 2020-11-21 | Peru | Callao | 39879 | 5022 | 0 | 34857 | -11.954609 | -77.136042 | 2020-11-22 05:25:45 | Callao, Peru | ||
3836638 | 2020-11-21 | Peru | Cusco | 23534 | 1503 | 0 | 22031 | -13.191068 | -72.153609 | 2020-11-22 05:25:45 | Cusco, Peru | ||
3836639 | 2020-11-21 | Peru | Huancavelica | 7558 | 375 | 0 | 7183 | -13.023888 | -75.00277 | 2020-11-22 05:25:45 | Huancavelica, Peru | ||
3836640 | 2020-11-21 | Peru | Huanuco | 18743 | 978 | 0 | 17765 | -9.421676 | -76.040642 | 2020-11-22 05:25:45 | Huanuco, Peru | ||
3836641 | 2020-11-21 | Peru | Ica | 30686 | 3490 | 0 | 27196 | -14.235097 | -75.574821 | 2020-11-22 05:25:45 | Ica, Peru | ||
3836642 | 2020-11-21 | Peru | Junin | 24983 | 2294 | 0 | 22689 | -11.541783 | -74.876968 | 2020-11-22 05:25:45 | Junin, Peru | ||
3836643 | 2020-11-21 | Peru | La Libertad | 34701 | 4553 | 0 | 30148 | -7.92139 | -78.370238 | 2020-11-22 05:25:45 | La Libertad, Peru | ||
3836644 | 2020-11-21 | Peru | Lambayeque | 30268 | 4216 | 0 | 26052 | -6.353049 | -79.824113 | 2020-11-22 05:25:45 | Lambayeque, Peru | ||
3836645 | 2020-11-21 | Peru | Lima | 424399 | 40498 | 0 | 383901 | -11.766533 | -76.60449799999998 | 2020-11-22 05:25:45 | Lima, Peru | ||
3836646 | 2020-11-21 | Peru | Loreto | 23912 | 2716 | 0 | 21196 | -4.124847 | -74.424115 | 2020-11-22 05:25:45 | Loreto, Peru | ||
3836647 | 2020-11-21 | Peru | Madre de Dios | 9137 | 150 | 0 | 8987 | -11.972699 | -70.53171999999998 | 2020-11-22 05:25:45 | Madre de Dios, Peru | ||
3836648 | 2020-11-21 | Peru | Moquegua | 15045 | 829 | 0 | 14216 | -16.860271 | -70.839046 | 2020-11-22 05:25:45 | Moquegua, Peru | ||
3836649 | 2020-11-21 | Peru | Pasco | 6137 | 291 | 0 | 5846 | -10.39655 | -75.307635 | 2020-11-22 05:25:45 | Pasco, Peru | ||
3836650 | 2020-11-21 | Peru | Piura | 40115 | 5719 | 0 | 34396 | -5.133361 | -80.335861 | 2020-11-22 05:25:45 | Piura, Peru | ||
3836651 | 2020-11-21 | Peru | Puno | 18108 | 1449 | 0 | 16659 | -14.995826999999998 | -69.922726 | 2020-11-22 05:25:45 | Puno, Peru | ||
3836652 | 2020-11-21 | Peru | San Martin | 23315 | 1560 | 0 | 21755 | -7.039531 | -76.729127 | 2020-11-22 05:25:45 | San Martin, Peru | ||
3836653 | 2020-11-21 | Peru | Tacna | 13780 | 772 | 0 | 13008 | -17.644160999999997 | -70.27756 | 2020-11-22 05:25:45 | Tacna, Peru | ||
3836654 | 2020-11-21 | Peru | Tumbes | 8905 | 717 | 0 | 8188 | -3.857496 | -80.54525500000003 | 2020-11-22 05:25:45 | Tumbes, Peru | ||
3836655 | 2020-11-21 | Peru | Ucayali | 19208 | 1542 | 0 | 17666 | -9.621718 | -73.444929 | 2020-11-22 05:25:45 | Ucayali, Peru | ||
3836656 | 2020-11-21 | Peru | Unknown | 0 | 0 | 873970 | 0 | 2020-11-22 05:25:45 | Unknown, Peru |