covid
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rowid | day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3840665 | 2022-01-15 | Peru | Amazonas | 34029 | 1293 | 0 | -5.077253 | -78.050172 | 2022-01-16 04:21:12 | Amazonas, Peru | |||
3840666 | 2022-01-15 | Peru | Ancash | 88759 | 6789 | 0 | -9.407125 | -77.67179499999997 | 2022-01-16 04:21:12 | Ancash, Peru | |||
3840667 | 2022-01-15 | Peru | Apurimac | 27769 | 1528 | 0 | -14.027713 | -72.975378 | 2022-01-16 04:21:12 | Apurimac, Peru | |||
3840668 | 2022-01-15 | Peru | Arequipa | 129320 | 9776 | 0 | -15.843523999999999 | -72.475539 | 2022-01-16 04:21:12 | Arequipa, Peru | |||
3840669 | 2022-01-15 | Peru | Ayacucho | 36885 | 2171 | 0 | -14.091648000000001 | -74.08344 | 2022-01-16 04:21:12 | Ayacucho, Peru | |||
3840670 | 2022-01-15 | Peru | Cajamarca | 72311 | 4205 | 0 | -6.4302839999999994 | -78.74559599999998 | 2022-01-16 04:21:12 | Cajamarca, Peru | |||
3840671 | 2022-01-15 | Peru | Callao | 113655 | 10146 | 0 | -11.954609 | -77.136042 | 2022-01-16 04:21:12 | Callao, Peru | |||
3840672 | 2022-01-15 | Peru | Cusco | 77692 | 4835 | 0 | -13.191068 | -72.153609 | 2022-01-16 04:21:12 | Cusco, Peru | |||
3840673 | 2022-01-15 | Peru | Huancavelica | 17317 | 1185 | 0 | -13.023888000000001 | -75.00277 | 2022-01-16 04:21:12 | Huancavelica, Peru | |||
3840674 | 2022-01-15 | Peru | Huanuco | 39063 | 2734 | 0 | -9.421676 | -76.040642 | 2022-01-16 04:21:12 | Huanuco, Peru | |||
3840675 | 2022-01-15 | Peru | Ica | 67451 | 8627 | 0 | -14.235097 | -75.574821 | 2022-01-16 04:21:12 | Ica, Peru | |||
3840676 | 2022-01-15 | Peru | Junin | 95384 | 7121 | 0 | -11.541783 | -74.876968 | 2022-01-16 04:21:12 | Junin, Peru | |||
3840677 | 2022-01-15 | Peru | La Libertad | 101353 | 10420 | 0 | -7.92139 | -78.370238 | 2022-01-16 04:21:12 | La Libertad, Peru | |||
3840678 | 2022-01-15 | Peru | Lambayeque | 65954 | 8720 | 0 | -6.3530489999999995 | -79.824113 | 2022-01-16 04:21:12 | Lambayeque, Peru | |||
3840679 | 2022-01-15 | Peru | Lima | 1132690 | 89734 | 0 | -11.766533 | -76.60449799999998 | 2022-01-16 04:21:12 | Lima, Peru | |||
3840680 | 2022-01-15 | Peru | Loreto | 46244 | 4285 | 0 | -4.124847 | -74.424115 | 2022-01-16 04:21:12 | Loreto, Peru | |||
3840681 | 2022-01-15 | Peru | Madre de Dios | 14466 | 782 | 0 | -11.972699 | -70.53171999999998 | 2022-01-16 04:21:12 | Madre de Dios, Peru | |||
3840682 | 2022-01-15 | Peru | Moquegua | 32200 | 1542 | 0 | -16.860271 | -70.839046 | 2022-01-16 04:21:12 | Moquegua, Peru | |||
3840683 | 2022-01-15 | Peru | Pasco | 17252 | 1051 | 0 | -10.39655 | -75.307635 | 2022-01-16 04:21:12 | Pasco, Peru | |||
3840684 | 2022-01-15 | Peru | Piura | 103155 | 12327 | 0 | -5.133361 | -80.335861 | 2022-01-16 04:21:12 | Piura, Peru | |||
3840685 | 2022-01-15 | Peru | Puno | 45159 | 4276 | 0 | -14.995826999999998 | -69.922726 | 2022-01-16 04:21:12 | Puno, Peru | |||
3840686 | 2022-01-15 | Peru | San Martin | 51053 | 3043 | 0 | -7.039531 | -76.729127 | 2022-01-16 04:21:12 | San Martin, Peru | |||
3840687 | 2022-01-15 | Peru | Tacna | 34636 | 1984 | 0 | -17.644160999999997 | -70.27756 | 2022-01-16 04:21:12 | Tacna, Peru | |||
3840688 | 2022-01-15 | Peru | Tumbes | 19965 | 1600 | 0 | -3.857496 | -80.54525500000003 | 2022-01-16 04:21:12 | Tumbes, Peru | |||
3840689 | 2022-01-15 | Peru | Ucayali | 32780 | 3091 | 0 | -9.621718 | -73.444929 | 2022-01-16 04:21:12 | Ucayali, Peru | |||
3840690 | 2022-01-15 | Peru | Unknown | 65992 | 111 | 0 | 2022-01-16 04:21:12 | Unknown, Peru |