covid
This data as json, yaml, Notebook, copyable, CSV
day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-30 | Japan | Aichi | 6196 | 95 | 5580 | 521 | 35.035551 | 137.211621 | 2020-10-31 04:24:44 | Aichi, Japan | ||
2020-10-30 | Japan | Akita | 61 | 0 | 59 | 2 | 39.748679 | 140.408228 | 2020-10-31 04:24:44 | Akita, Japan | ||
2020-10-30 | Japan | Aomori | 222 | 3 | 103 | 116 | 40.781541 | 140.828896 | 2020-10-31 04:24:44 | Aomori, Japan | ||
2020-10-30 | Japan | Chiba | 4982 | 79 | 4501 | 402 | 35.510141 | 140.198917 | 2020-10-31 04:24:44 | Chiba, Japan | ||
2020-10-30 | Japan | Ehime | 116 | 6 | 110 | 0 | 33.624835 | 132.856842 | 2020-10-31 04:24:44 | Ehime, Japan | ||
2020-10-30 | Japan | Fukui | 256 | 11 | 244 | 1 | 35.846614 | 136.22465400000002 | 2020-10-31 04:24:44 | Fukui, Japan | ||
2020-10-30 | Japan | Fukuoka | 5217 | 101 | 5037 | 79 | 33.526032 | 130.666949 | 2020-10-31 04:24:44 | Fukuoka, Japan | ||
2020-10-30 | Japan | Fukushima | 387 | 6 | 344 | 37 | 37.378867 | 140.223295 | 2020-10-31 04:24:44 | Fukushima, Japan | ||
2020-10-30 | Japan | Gifu | 681 | 11 | 635 | 35 | 35.778671 | 137.055925 | 2020-10-31 04:24:44 | Gifu, Japan | ||
2020-10-30 | Japan | Gunma | 894 | 19 | 760 | 115 | 36.504479 | 138.985605 | 2020-10-31 04:24:44 | Gunma, Japan | ||
2020-10-30 | Japan | Hiroshima | 659 | 5 | 642 | 12 | 34.605309000000005 | 132.788719 | 2020-10-31 04:24:44 | Hiroshima, Japan | ||
2020-10-30 | Japan | Hokkaido | 3055 | 109 | 2462 | 484 | 43.385711 | 142.552318 | 2020-10-31 04:24:44 | Hokkaido, Japan | ||
2020-10-30 | Japan | Hyogo | 3222 | 63 | 2967 | 192 | 35.039913 | 134.828057 | 2020-10-31 04:24:44 | Hyogo, Japan | ||
2020-10-30 | Japan | Ibaraki | 764 | 18 | 714 | 32 | 36.303588 | 140.319591 | 2020-10-31 04:24:44 | Ibaraki, Japan | ||
2020-10-30 | Japan | Ishikawa | 806 | 49 | 742 | 15 | 36.769464 | 136.771027 | 2020-10-31 04:24:44 | Ishikawa, Japan | ||
2020-10-30 | Japan | Iwate | 27 | 0 | 25 | 2 | 39.593287 | 141.361777 | 2020-10-31 04:24:44 | Iwate, Japan | ||
2020-10-30 | Japan | Kagawa | 102 | 2 | 95 | 5 | 34.217292 | 133.969047 | 2020-10-31 04:24:44 | Kagawa, Japan | ||
2020-10-30 | Japan | Kagoshima | 470 | 12 | 459 | 0 | 31.009484000000004 | 130.430665 | 2020-10-31 04:24:44 | Kagoshima, Japan | ||
2020-10-30 | Japan | Kanagawa | 8644 | 170 | 7881 | 593 | 35.415312 | 139.338983 | 2020-10-31 04:24:44 | Kanagawa, Japan | ||
2020-10-30 | Japan | Kochi | 144 | 4 | 137 | 3 | 33.422519 | 133.367307 | 2020-10-31 04:24:44 | Kochi, Japan | ||
2020-10-30 | Japan | Kumamoto | 791 | 8 | 736 | 47 | 32.608154 | 130.74523100000002 | 2020-10-31 04:24:44 | Kumamoto, Japan | ||
2020-10-30 | Japan | Kyoto | 2027 | 30 | 1908 | 89 | 35.253815 | 135.443341 | 2020-10-31 04:24:44 | Kyoto, Japan | ||
2020-10-30 | Japan | Mie | 563 | 7 | 541 | 15 | 34.508018 | 136.376013 | 2020-10-31 04:24:44 | Mie, Japan | ||
2020-10-30 | Japan | Miyagi | 700 | 2 | 535 | 163 | 38.446859 | 140.927086 | 2020-10-31 04:24:44 | Miyagi, Japan | ||
2020-10-30 | Japan | Miyazaki | 367 | 1 | 366 | 0 | 32.193203999999994 | 131.299374 | 2020-10-31 04:24:44 | Miyazaki, Japan | ||
2020-10-30 | Japan | Nagano | 339 | 4 | 328 | 7 | 36.132134 | 138.045528 | 2020-10-31 04:24:44 | Nagano, Japan | ||
2020-10-30 | Japan | Nagasaki | 244 | 3 | 239 | 2 | 33.235712 | 129.608033 | 2020-10-31 04:24:44 | Nagasaki, Japan | ||
2020-10-30 | Japan | Nara | 631 | 10 | 607 | 14 | 34.317451 | 135.871644 | 2020-10-31 04:24:44 | Nara, Japan | ||
2020-10-30 | Japan | Niigata | 182 | 0 | 179 | 3 | 37.521819 | 138.918647 | 2020-10-31 04:24:44 | Niigata, Japan | ||
2020-10-30 | Japan | Oita | 159 | 3 | 156 | 0 | 33.200697 | 131.43323999999998 | 2020-10-31 04:24:44 | Oita, Japan | ||
2020-10-30 | Japan | Okayama | 273 | 4 | 172 | 97 | 34.89246 | 133.826252 | 2020-10-31 04:24:44 | Okayama, Japan | ||
2020-10-30 | Japan | Okinawa | 3301 | 61 | 2878 | 362 | 25.768923 | 126.668016 | 2020-10-31 04:24:44 | Okinawa, Japan | ||
2020-10-30 | Japan | Osaka | 12610 | 238 | 11441 | 931 | 34.620965000000005 | 135.507481 | 2020-10-31 04:24:44 | Osaka, Japan | ||
2020-10-30 | Japan | Port Quarantine | 1170 | 1 | 514 | 655 | 2020-10-31 04:24:44 | Port Quarantine, Japan | ||||
2020-10-30 | Japan | Saga | 254 | 0 | 255 | 0 | 33.286977 | 130.115738 | 2020-10-31 04:24:44 | Saga, Japan | ||
2020-10-30 | Japan | Saitama | 5823 | 106 | 5275 | 442 | 35.997101 | 139.347635 | 2020-10-31 04:24:44 | Saitama, Japan | ||
2020-10-30 | Japan | Shiga | 547 | 9 | 520 | 18 | 35.21582700000001 | 136.138064 | 2020-10-31 04:24:44 | Shiga, Japan | ||
2020-10-30 | Japan | Shimane | 141 | 0 | 140 | 1 | 35.07076 | 132.55406399999998 | 2020-10-31 04:24:44 | Shimane, Japan | ||
2020-10-30 | Japan | Shizuoka | 646 | 2 | 582 | 62 | 34.916975 | 138.40778400000002 | 2020-10-31 04:24:44 | Shizuoka, Japan | ||
2020-10-30 | Japan | Tochigi | 487 | 1 | 461 | 25 | 36.689912 | 139.819213 | 2020-10-31 04:24:44 | Tochigi, Japan | ||
2020-10-30 | Japan | Tokushima | 164 | 9 | 151 | 4 | 33.919178 | 134.242091 | 2020-10-31 04:24:44 | Tokushima, Japan | ||
2020-10-30 | Japan | Tokyo | 30867 | 455 | 28526 | 1886 | 35.711343 | 139.446921 | 2020-10-31 04:24:44 | Tokyo, Japan | ||
2020-10-30 | Japan | Tottori | 38 | 0 | 35 | 3 | 35.359069 | 133.863619 | 2020-10-31 04:24:44 | Tottori, Japan | ||
2020-10-30 | Japan | Toyama | 423 | 26 | 396 | 1 | 36.637464 | 137.26934599999998 | 2020-10-31 04:24:44 | Toyama, Japan | ||
2020-10-30 | Japan | Unknown | 8 | 0 | 8 | 0 | 2020-10-31 04:24:44 | Unknown, Japan | ||||
2020-10-30 | Japan | Wakayama | 274 | 4 | 255 | 15 | 33.911879 | 135.505446 | 2020-10-31 04:24:44 | Wakayama, Japan | ||
2020-10-30 | Japan | Yamagata | 86 | 1 | 80 | 5 | 38.448396 | 140.102154 | 2020-10-31 04:24:44 | Yamagata, Japan | ||
2020-10-30 | Japan | Yamaguchi | 213 | 2 | 207 | 4 | 34.201190000000004 | 131.573293 | 2020-10-31 04:24:44 | Yamaguchi, Japan | ||
2020-10-30 | Japan | Yamanashi | 213 | 6 | 196 | 11 | 35.612364 | 138.61148899999998 | 2020-10-31 04:24:44 | Yamanashi, Japan |