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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3101590 | 2021-01-16 | Peru | Amazonas | 18878 | 583 | 0 | 18295 | -5.077253 | -78.050172 | 2021-01-17 05:22:17 | Amazonas, Peru | ||
3101591 | 2021-01-16 | Peru | Ancash | 33478 | 3025 | 0 | 30453 | -9.407125 | -77.67179499999997 | 2021-01-17 05:22:17 | Ancash, Peru | ||
3101592 | 2021-01-16 | Peru | Apurimac | 8498 | 421 | 0 | 8077 | -14.027713 | -72.975378 | 2021-01-17 05:22:17 | Apurimac, Peru | ||
3101593 | 2021-01-16 | Peru | Arequipa | 50002 | 4426 | 0 | 45576 | -15.843524 | -72.475539 | 2021-01-17 05:22:17 | Arequipa, Peru | ||
3101594 | 2021-01-16 | Peru | Ayacucho | 15884 | 851 | 0 | 15033 | -14.091648 | -74.08344 | 2021-01-17 05:22:17 | Ayacucho, Peru | ||
3101595 | 2021-01-16 | Peru | Cajamarca | 26395 | 1663 | 0 | 24732 | -6.430284 | -78.74559599999998 | 2021-01-17 05:22:17 | Cajamarca, Peru | ||
3101596 | 2021-01-16 | Peru | Callao | 44972 | 5351 | 0 | 39621 | -11.954609 | -77.136042 | 2021-01-17 05:22:17 | Callao, Peru | ||
3101597 | 2021-01-16 | Peru | Cusco | 26197 | 1655 | 0 | 24542 | -13.191068 | -72.153609 | 2021-01-17 05:22:17 | Cusco, Peru | ||
3101598 | 2021-01-16 | Peru | Huancavelica | 8034 | 407 | 0 | 7627 | -13.023888 | -75.00277 | 2021-01-17 05:22:17 | Huancavelica, Peru | ||
3101599 | 2021-01-16 | Peru | Huanuco | 21688 | 1219 | 0 | 20469 | -9.421676 | -76.040642 | 2021-01-17 05:22:17 | Huanuco, Peru | ||
3101600 | 2021-01-16 | Peru | Ica | 33203 | 3829 | 0 | 29374 | -14.235097 | -75.574821 | 2021-01-17 05:22:17 | Ica, Peru | ||
3101601 | 2021-01-16 | Peru | Junin | 30395 | 2562 | 0 | 27833 | -11.541783 | -74.876968 | 2021-01-17 05:22:17 | Junin, Peru | ||
3101602 | 2021-01-16 | Peru | La Libertad | 38507 | 4975 | 0 | 33532 | -7.92139 | -78.370238 | 2021-01-17 05:22:17 | La Libertad, Peru | ||
3101603 | 2021-01-16 | Peru | Lambayeque | 34210 | 4762 | 0 | 29448 | -6.353049 | -79.824113 | 2021-01-17 05:22:17 | Lambayeque, Peru | ||
3101604 | 2021-01-16 | Peru | Lima | 469223 | 43609 | 0 | 425614 | -11.766533 | -76.60449799999998 | 2021-01-17 05:22:17 | Lima, Peru | ||
3101605 | 2021-01-16 | Peru | Loreto | 26640 | 2768 | 0 | 23872 | -4.124847 | -74.424115 | 2021-01-17 05:22:17 | Loreto, Peru | ||
3101606 | 2021-01-16 | Peru | Madre de Dios | 9632 | 162 | 0 | 9470 | -11.972699 | -70.53171999999998 | 2021-01-17 05:22:17 | Madre de Dios, Peru | ||
3101607 | 2021-01-16 | Peru | Moquegua | 16805 | 943 | 0 | 15862 | -16.860271 | -70.839046 | 2021-01-17 05:22:17 | Moquegua, Peru | ||
3101608 | 2021-01-16 | Peru | Pasco | 7005 | 382 | 0 | 6623 | -10.39655 | -75.307635 | 2021-01-17 05:22:17 | Pasco, Peru | ||
3101609 | 2021-01-16 | Peru | Piura | 44429 | 6607 | 0 | 37822 | -5.133361 | -80.335861 | 2021-01-17 05:22:17 | Piura, Peru | ||
3101610 | 2021-01-16 | Peru | Puno | 19762 | 1583 | 0 | 18179 | -14.995826999999998 | -69.922726 | 2021-01-17 05:22:17 | Puno, Peru | ||
3101611 | 2021-01-16 | Peru | San Martin | 26350 | 1628 | 0 | 24722 | -7.039531 | -76.729127 | 2021-01-17 05:22:17 | San Martin, Peru | ||
3101612 | 2021-01-16 | Peru | Tacna | 15335 | 834 | 0 | 14501 | -17.644160999999997 | -70.27756 | 2021-01-17 05:22:17 | Tacna, Peru | ||
3101613 | 2021-01-16 | Peru | Tumbes | 9734 | 796 | 0 | 8938 | -3.857496 | -80.54525500000003 | 2021-01-17 05:22:17 | Tumbes, Peru | ||
3101614 | 2021-01-16 | Peru | Ucayali | 20767 | 1611 | 0 | 19156 | -9.621718 | -73.444929 | 2021-01-17 05:22:17 | Ucayali, Peru | ||
3101615 | 2021-01-16 | Peru | Unknown | 0 | 0 | 978072 | 0 | 2021-01-17 05:22:17 | Unknown, Peru |