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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3936201 | 2022-12-09 | Peru | Amazonas | 50238 | 1378 | 0 | -5.077253 | -78.050172 | 2022-12-10 04:21:02 | Amazonas, Peru | |||
3936202 | 2022-12-09 | Peru | Ancash | 152753 | 7311 | 0 | -9.407125 | -77.671795 | 2022-12-10 04:21:02 | Ancash, Peru | |||
3936203 | 2022-12-09 | Peru | Apurimac | 44993 | 1685 | 0 | -14.027713 | -72.975378 | 2022-12-10 04:21:02 | Apurimac, Peru | |||
3936204 | 2022-12-09 | Peru | Arequipa | 274186 | 10499 | 0 | -15.843524 | -72.475539 | 2022-12-10 04:21:02 | Arequipa, Peru | |||
3936205 | 2022-12-09 | Peru | Ayacucho | 54481 | 2393 | 0 | -14.091648 | -74.08344 | 2022-12-10 04:21:02 | Ayacucho, Peru | |||
3936206 | 2022-12-09 | Peru | Cajamarca | 109708 | 4545 | 0 | -6.430284 | -78.745596 | 2022-12-10 04:21:02 | Cajamarca, Peru | |||
3936207 | 2022-12-09 | Peru | Callao | 165981 | 10803 | 0 | -11.954609 | -77.136042 | 2022-12-10 04:21:02 | Callao, Peru | |||
3936208 | 2022-12-09 | Peru | Cusco | 139885 | 5249 | 0 | -13.191068 | -72.153609 | 2022-12-10 04:21:02 | Cusco, Peru | |||
3936209 | 2022-12-09 | Peru | Huancavelica | 29279 | 1285 | 0 | -13.023888 | -75.00277 | 2022-12-10 04:21:02 | Huancavelica, Peru | |||
3936210 | 2022-12-09 | Peru | Huanuco | 59150 | 2947 | 0 | -9.421676 | -76.040642 | 2022-12-10 04:21:02 | Huanuco, Peru | |||
3936211 | 2022-12-09 | Peru | Ica | 123295 | 9037 | 0 | -14.235097 | -75.574821 | 2022-12-10 04:21:02 | Ica, Peru | |||
3936212 | 2022-12-09 | Peru | Junin | 149321 | 7563 | 0 | -11.541783 | -74.876968 | 2022-12-10 04:21:02 | Junin, Peru | |||
3936213 | 2022-12-09 | Peru | La Libertad | 172302 | 10943 | 0 | -7.92139 | -78.370238 | 2022-12-10 04:21:02 | La Libertad, Peru | |||
3936214 | 2022-12-09 | Peru | Lambayeque | 124472 | 9363 | 0 | -6.353049 | -79.824113 | 2022-12-10 04:21:02 | Lambayeque, Peru | |||
3936215 | 2022-12-09 | Peru | Lima | 2023023 | 95926 | 0 | -11.766533 | -76.604498 | 2022-12-10 04:21:02 | Lima, Peru | |||
3936216 | 2022-12-09 | Peru | Loreto | 63667 | 4454 | 0 | -4.124847 | -74.424115 | 2022-12-10 04:21:02 | Loreto, Peru | |||
3936217 | 2022-12-09 | Peru | Madre de Dios | 20698 | 881 | 0 | -11.972699 | -70.53172 | 2022-12-10 04:21:02 | Madre de Dios, Peru | |||
3936218 | 2022-12-09 | Peru | Moquegua | 60564 | 1697 | 0 | -16.860271 | -70.839046 | 2022-12-10 04:21:02 | Moquegua, Peru | |||
3936219 | 2022-12-09 | Peru | Pasco | 27783 | 1134 | 0 | -10.39655 | -75.307635 | 2022-12-10 04:21:02 | Pasco, Peru | |||
3936220 | 2022-12-09 | Peru | Piura | 175310 | 13163 | 0 | -5.133361 | -80.335861 | 2022-12-10 04:21:02 | Piura, Peru | |||
3936221 | 2022-12-09 | Peru | Puno | 75539 | 4810 | 0 | -14.995827 | -69.922726 | 2022-12-10 04:21:02 | Puno, Peru | |||
3936222 | 2022-12-09 | Peru | San Martin | 68654 | 3228 | 0 | -7.039531 | -76.729127 | 2022-12-10 04:21:02 | San Martin, Peru | |||
3936223 | 2022-12-09 | Peru | Tacna | 61945 | 2205 | 0 | -17.644161 | -70.27756 | 2022-12-10 04:21:02 | Tacna, Peru | |||
3936224 | 2022-12-09 | Peru | Tumbes | 32240 | 1733 | 0 | -3.857496 | -80.545255 | 2022-12-10 04:21:02 | Tumbes, Peru | |||
3936225 | 2022-12-09 | Peru | Ucayali | 45278 | 3287 | 0 | -9.621718 | -73.444929 | 2022-12-10 04:21:02 | Ucayali, Peru | |||
3936226 | 2022-12-09 | Peru | Unknown | 45768 | 105 | 0 | 2022-12-10 04:21:02 | Unknown, Peru |