johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
960 rows where province_or_state = "Bremen" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: confirmed, deaths, last_update, day (date), last_update (date)
active 380 ✖
- 119 5
- 64 5
- 162 4
- 72 4
- 104 3
- 107 3
- 171 3
- 206 3
- 256 3
- 33 3
- 61 3
- 63 3
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- 781 3
- 92 3
- 1065 2
- 1114 2
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- 131 2
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- 140 2
- 143 2
- 1440 2
- 148 2
- 150 2
- 1537 2
- 155 2
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- 1591 2
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- 1893 2
- 222 2
- 258 2
- 316 2
- 34 2
- 39 2
- 41 2
- 55 2
- 705 2
- 728 2
- 795 2
- 82 2
- 951 2
- 957 2
- 100 1
- 1014 1
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- 1020 1
- 1028 1
- 103 1
- 1035 1
- 1036 1
- 1045 1
- 1049 1
- 1054 1
- 1055 1
- 1059 1
- 1068 1
- 1070 1
- 1074 1
- 1075 1
- 108 1
- 1080 1
- 109 1
- 1093 1
- 1094 1
- 1097 1
- 1100 1
- 1108 1
- 111 1
- 1113 1
- 1116 1
- 1118 1
- 1119 1
- 1120 1
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- 115 1
- 1150 1
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- 118 1
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- 1210 1
- 1212 1
- 122 1
- 1225 1
- 1229 1
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- 124 1
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- 128 1
- 1283 1
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- 1293 1
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- 134 1
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- 1420 1
- 1432 1
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- 147 1
- 1473 1
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- 151 1
- 152 1
- 1520 1
- 1528 1
- 153 1
- 1531 1
- 1532 1
- 1533 1
- 1538 1
- 154 1
- 1561 1
- 1567 1
- 157 1
- 1576 1
- 1578 1
- 1588 1
- 1590 1
- 161 1
- 1615 1
- 1618 1
- 1619 1
- 1624 1
- 1628 1
- 1631 1
- 1635 1
- 1637 1
- 1639 1
- 1642 1
- 1646 1
- 165 1
- 1650 1
- 1662 1
- 168 1
- 1685 1
- 1686 1
- 1703 1
- 1710 1
- 172 1
- 175 1
- 1763 1
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- 1825 1
- 183 1
- 1831 1
- 1843 1
- 185 1
- 1850 1
- 1857 1
- 1859 1
- 1877 1
- 1895 1
- 190 1
- 1907 1
- 191 1
- 1911 1
- 1926 1
- 1937 1
- 1952 1
- 1961 1
- 197 1
- 1970 1
- 1972 1
- 1980 1
- 1984 1
- 199 1
- 1995 1
- 1999 1
- 2006 1
- 202 1
- 203 1
- 2035 1
- 2038 1
- 2040 1
- 2050 1
- 2058 1
- 2066 1
- 2079 1
- 2093 1
- 2108 1
- 212 1
- 2122 1
- 2135 1
- 214 1
- 2156 1
- 2157 1
- 2160 1
- 218 1
- 219 1
- 2209 1
- 221 1
- 2211 1
- 223 1
- 224 1
- 2267 1
- 227 1
- 2271 1
- 2272 1
- 2273 1
- 228 1
- 2295 1
- 230 1
- 231 1
- 2343 1
- 2350 1
- 2363 1
- 237 1
- 238 1
- 2380 1
- 2391 1
- 2439 1
- 2480 1
- 2545 1
- 257 1
- 260 1
- 2607 1
- 262 1
- 2627 1
- 2645 1
- 269 1
- 2710 1
- 272 1
- 273 1
- 2737 1
- 274 1
- 28 1
- 285 1
- 286 1
- 2893 1
- 29 1
- 295 1
- 2965 1
- 298 1
- 30 1
- 302 1
- 31 1
- 32 1
- 321 1
- 322 1
- 323 1
- 326 1
- 327 1
- 330 1
- 337 1
- 350 1
- 352 1
- 357 1
- 358 1
- 37 1
- 378 1
- 390 1
- 40 1
- 411 1
- 42 1
- 432 1
- 452 1
- 457 1
- 46 1
- 465 1
- 469 1
- 472 1
- 473 1
- 477 1
- 482 1
- 484 1
- 510 1
- 524 1
- 542 1
- 549 1
- 56 1
- 58 1
- 588 1
- 59 1
- 597 1
- 60 1
- 605 1
- 616 1
- 62 1
- 620 1
- 638 1
- 651 1
- 66 1
- 667 1
- 67 1
- 68 1
- 682 1
- 687 1
- 69 1
- 692 1
- 699 1
- 702 1
- 735 1
- 74 1
- 744 1
- 749 1
- 750 1
- 756 1
- 758 1
- 767 1
- 769 1
- 777 1
- 78 1
- 785 1
- 79 1
- 80 1
- 807 1
- 809 1
- 81 1
- 811 1
- 812 1
- 815 1
- 820 1
- 823 1
- 833 1
- 839 1
- 84 1
- 841 1
- 85 1
- 852 1
- 854 1
- 858 1
- 860 1
- 863 1
- 866 1
- 87 1
- 88 1
- 883 1
- 887 1
- 90 1
- 909 1
- 91 1
- 911 1
- 927 1
- 93 1
- 942 1
- 95 1
- 96 1
- 97 1
- 977 1
- 98 1
- 99 1
- 991 1
province_or_state 1
- Bremen · 960 ✖
country_or_region 1
- Germany 960
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2752799 | 2752799 | 2022-12-29 | Germany | Bremen | 297327 | 919 | 0 | 53.0793 | 8.8017 | 2022-12-30 04:21:04 | Bremen, Germany | |||
1073805 | 1073805 | 2022-12-28 | Germany | Bremen | 296325 | 917 | 0 | 53.0793 | 8.8017 | 2022-12-29 04:21:01 | Bremen, Germany | |||
327802 | 327802 | 2022-12-27 | Germany | Bremen | 295200 | 913 | 0 | 53.0793 | 8.8017 | 2022-12-28 04:21:04 | Bremen, Germany | |||
217875 | 217875 | 2022-12-26 | Germany | Bremen | 295132 | 912 | 0 | 53.0793 | 8.8017 | 2022-12-27 04:21:07 | Bremen, Germany | |||
3222332 | 3222332 | 2022-12-25 | Germany | Bremen | 295132 | 912 | 0 | 53.0793 | 8.8017 | 2022-12-26 04:21:06 | Bremen, Germany | |||
1018246 | 1018246 | 2022-12-24 | Germany | Bremen | 295132 | 912 | 0 | 53.0793 | 8.8017 | 2022-12-25 04:21:04 | Bremen, Germany | |||
690269 | 690269 | 2022-12-23 | Germany | Bremen | 295132 | 912 | 0 | 53.0793 | 8.8017 | 2022-12-24 04:21:02 | Bremen, Germany | |||
2179479 | 2179479 | 2022-12-22 | Germany | Bremen | 294615 | 912 | 0 | 53.0793 | 8.8017 | 2022-12-23 04:21:04 | Bremen, Germany | |||
451283 | 451283 | 2022-12-21 | Germany | Bremen | 294011 | 910 | 0 | 53.0793 | 8.8017 | 2022-12-22 04:20:56 | Bremen, Germany | |||
2951282 | 2951282 | 2022-12-20 | Germany | Bremen | 293419 | 909 | 0 | 53.0793 | 8.8017 | 2022-12-21 04:21:03 | Bremen, Germany | |||
3173684 | 3173684 | 2022-12-19 | Germany | Bremen | 292784 | 902 | 0 | 53.0793 | 8.8017 | 2022-12-20 04:21:04 | Bremen, Germany | |||
1628201 | 1628201 | 2022-12-18 | Germany | Bremen | 292258 | 902 | 0 | 53.0793 | 8.8017 | 2022-12-19 04:21:03 | Bremen, Germany | |||
503580 | 503580 | 2022-12-17 | Germany | Bremen | 292258 | 902 | 0 | 53.0793 | 8.8017 | 2022-12-18 04:21:03 | Bremen, Germany | |||
3324152 | 3324152 | 2022-12-16 | Germany | Bremen | 292258 | 902 | 0 | 53.0793 | 8.8017 | 2022-12-17 04:21:04 | Bremen, Germany | |||
542664 | 542664 | 2022-12-15 | Germany | Bremen | 291737 | 898 | 0 | 53.0793 | 8.8017 | 2022-12-16 04:21:01 | Bremen, Germany | |||
348192 | 348192 | 2022-12-14 | Germany | Bremen | 291092 | 898 | 0 | 53.0793 | 8.8017 | 2022-12-15 04:20:58 | Bremen, Germany | |||
307780 | 307780 | 2022-12-13 | Germany | Bremen | 290290 | 898 | 0 | 53.0793 | 8.8017 | 2022-12-14 04:21:04 | Bremen, Germany | |||
1148841 | 1148841 | 2022-12-12 | Germany | Bremen | 289613 | 894 | 0 | 53.0793 | 8.8017 | 2022-12-13 04:21:01 | Bremen, Germany | |||
868695 | 868695 | 2022-12-11 | Germany | Bremen | 289203 | 894 | 0 | 53.0793 | 8.8017 | 2022-12-12 04:21:01 | Bremen, Germany | |||
257225 | 257225 | 2022-12-10 | Germany | Bremen | 289203 | 894 | 0 | 53.0793 | 8.8017 | 2022-12-11 04:20:50 | Bremen, Germany | |||
3935939 | 3935939 | 2022-12-09 | Germany | Bremen | 289203 | 894 | 0 | 53.0793 | 8.8017 | 2022-12-10 04:21:02 | Bremen, Germany | |||
3377271 | 3377271 | 2022-12-08 | Germany | Bremen | 288838 | 894 | 0 | 53.0793 | 8.8017 | 2022-12-09 04:21:05 | Bremen, Germany | |||
1984542 | 1984542 | 2022-12-07 | Germany | Bremen | 288139 | 893 | 0 | 53.0793 | 8.8017 | 2022-12-08 04:21:07 | Bremen, Germany | |||
3714065 | 3714065 | 2022-12-06 | Germany | Bremen | 287577 | 891 | 0 | 53.0793 | 8.8017 | 2022-12-07 04:20:58 | Bremen, Germany | |||
2414770 | 2414770 | 2022-12-05 | Germany | Bremen | 287057 | 889 | 0 | 53.0793 | 8.8017 | 2022-12-06 04:21:03 | Bremen, Germany | |||
718378 | 718378 | 2022-12-04 | Germany | Bremen | 286469 | 888 | 0 | 53.0793 | 8.8017 | 2022-12-05 04:20:58 | Bremen, Germany | |||
2816667 | 2816667 | 2022-12-03 | Germany | Bremen | 286469 | 888 | 0 | 53.0793 | 8.8017 | 2022-12-04 04:20:56 | Bremen, Germany | |||
833523 | 833523 | 2022-12-02 | Germany | Bremen | 286469 | 888 | 0 | 53.0793 | 8.8017 | 2022-12-03 04:21:02 | Bremen, Germany | |||
2136053 | 2136053 | 2022-12-01 | Germany | Bremen | 286421 | 887 | 0 | 53.0793 | 8.8017 | 2022-12-02 04:21:07 | Bremen, Germany | |||
1964469 | 1964469 | 2022-11-30 | Germany | Bremen | 285876 | 887 | 0 | 53.0793 | 8.8017 | 2022-12-01 04:21:03 | Bremen, Germany | |||
2556483 | 2556483 | 2022-11-29 | Germany | Bremen | 285327 | 887 | 0 | 53.0793 | 8.8017 | 2022-11-30 04:21:07 | Bremen, Germany | |||
1239557 | 1239557 | 2022-11-28 | Germany | Bremen | 284752 | 883 | 0 | 53.0793 | 8.8017 | 2022-11-29 04:21:05 | Bremen, Germany | |||
3551545 | 3551545 | 2022-11-27 | Germany | Bremen | 284448 | 881 | 0 | 53.0793 | 8.8017 | 2022-11-28 04:21:02 | Bremen, Germany | |||
2100025 | 2100025 | 2022-11-26 | Germany | Bremen | 284448 | 881 | 0 | 53.0793 | 8.8017 | 2022-11-27 04:21:05 | Bremen, Germany | |||
487516 | 487516 | 2022-11-25 | Germany | Bremen | 284448 | 881 | 0 | 53.0793 | 8.8017 | 2022-11-26 04:21:11 | Bremen, Germany | |||
3523345 | 3523345 | 2022-11-24 | Germany | Bremen | 284189 | 881 | 0 | 53.0793 | 8.8017 | 2022-11-25 04:21:06 | Bremen, Germany | |||
3312128 | 3312128 | 2022-11-23 | Germany | Bremen | 283797 | 880 | 0 | 53.0793 | 8.8017 | 2022-11-24 04:21:09 | Bremen, Germany | |||
1620169 | 1620169 | 2022-11-22 | Germany | Bremen | 283309 | 880 | 0 | 53.0793 | 8.8017 | 2022-11-23 04:21:06 | Bremen, Germany | |||
3460057 | 3460057 | 2022-11-21 | Germany | Bremen | 282898 | 880 | 0 | 53.0793 | 8.8017 | 2022-11-22 04:20:47 | Bremen, Germany | |||
1640242 | 1640242 | 2022-11-20 | Germany | Bremen | 282590 | 880 | 0 | 53.0793 | 8.8017 | 2022-11-21 04:21:05 | Bremen, Germany | |||
2063799 | 2063799 | 2022-11-19 | Germany | Bremen | 282590 | 880 | 0 | 53.0793 | 8.8017 | 2022-11-20 04:21:08 | Bremen, Germany | |||
1755193 | 1755193 | 2022-11-18 | Germany | Bremen | 282590 | 880 | 0 | 53.0793 | 8.8017 | 2022-11-19 04:21:14 | Bremen, Germany | |||
3026186 | 3026186 | 2022-11-17 | Germany | Bremen | 282349 | 879 | 0 | 53.0793 | 8.8017 | 2022-11-18 04:21:15 | Bremen, Germany | |||
2485897 | 2485897 | 2022-11-16 | Germany | Bremen | 281957 | 879 | 0 | 53.0793 | 8.8017 | 2022-11-17 04:21:11 | Bremen, Germany | |||
291908 | 291908 | 2022-11-15 | Germany | Bremen | 281574 | 878 | 0 | 53.0793 | 8.8017 | 2022-11-16 04:21:09 | Bremen, Germany | |||
3596938 | 3596938 | 2022-11-14 | Germany | Bremen | 281143 | 878 | 0 | 53.0793 | 8.8017 | 2022-11-15 04:21:16 | Bremen, Germany | |||
311796 | 311796 | 2022-11-13 | Germany | Bremen | 280819 | 876 | 0 | 53.0793 | 8.8017 | 2022-11-14 04:21:09 | Bremen, Germany | |||
62957 | 62957 | 2022-11-12 | Germany | Bremen | 280819 | 876 | 0 | 53.0793 | 8.8017 | 2022-11-13 04:21:14 | Bremen, Germany | |||
2927119 | 2927119 | 2022-11-11 | Germany | Bremen | 280819 | 876 | 0 | 53.0793 | 8.8017 | 2022-11-12 04:20:41 | Bremen, Germany | |||
2505955 | 2505955 | 2022-11-10 | Germany | Bremen | 280504 | 872 | 0 | 53.0793 | 8.8017 | 2022-11-11 04:21:22 | Bremen, Germany | |||
2430830 | 2430830 | 2022-11-09 | Germany | Bremen | 280075 | 872 | 0 | 53.0793 | 8.8017 | 2022-11-10 04:21:16 | Bremen, Germany | |||
479486 | 479486 | 2022-11-08 | Germany | Bremen | 279527 | 872 | 0 | 53.0793 | 8.8017 | 2022-11-09 04:21:22 | Bremen, Germany | |||
2438636 | 2438636 | 2022-11-07 | Germany | Bremen | 278898 | 869 | 0 | 53.0793 | 8.8017 | 2022-11-08 04:21:21 | Bremen, Germany | |||
1049734 | 1049734 | 2022-11-06 | Germany | Bremen | 278607 | 867 | 0 | 53.0793 | 8.8017 | 2022-11-07 04:21:26 | Bremen, Germany | |||
617758 | 617758 | 2022-11-05 | Germany | Bremen | 278607 | 867 | 0 | 53.0793 | 8.8017 | 2022-11-06 04:21:24 | Bremen, Germany | |||
1022262 | 1022262 | 2022-11-04 | Germany | Bremen | 278607 | 867 | 0 | 53.0793 | 8.8017 | 2022-11-05 04:21:52 | Bremen, Germany | |||
431253 | 431253 | 2022-11-03 | Germany | Bremen | 278007 | 866 | 0 | 53.0793 | 8.8017 | 2022-11-04 04:22:11 | Bremen, Germany | |||
849495 | 849495 | 2022-11-02 | Germany | Bremen | 277296 | 866 | 0 | 53.0793 | 8.8017 | 2022-11-03 04:22:05 | Bremen, Germany | |||
710346 | 710346 | 2022-11-01 | Germany | Bremen | 276480 | 863 | 0 | 53.0793 | 8.8017 | 2022-11-02 04:22:09 | Bremen, Germany | |||
3284795 | 3284795 | 2022-10-31 | Germany | Bremen | 276480 | 863 | 0 | 53.0793 | 8.8017 | 2022-11-01 04:22:36 | Bremen, Germany | |||
319828 | 319828 | 2022-10-30 | Germany | Bremen | 276098 | 861 | 0 | 53.0793 | 8.8017 | 2022-10-31 04:21:36 | Bremen, Germany | |||
912104 | 912104 | 2022-10-29 | Germany | Bremen | 276098 | 861 | 0 | 53.0793 | 8.8017 | 2022-10-30 04:22:14 | Bremen, Germany | |||
1366373 | 1366373 | 2022-10-28 | Germany | Bremen | 276098 | 861 | 0 | 53.0793 | 8.8017 | 2022-10-29 04:21:13 | Bremen, Germany | |||
3038228 | 3038228 | 2022-10-27 | Germany | Bremen | 275682 | 861 | 0 | 53.0793 | 8.8017 | 2022-10-28 04:22:31 | Bremen, Germany | |||
538648 | 538648 | 2022-10-26 | Germany | Bremen | 274953 | 860 | 0 | 53.0793 | 8.8017 | 2022-10-27 04:22:01 | Bremen, Germany | |||
1830049 | 1830049 | 2022-10-25 | Germany | Bremen | 274150 | 857 | 0 | 53.0793 | 8.8017 | 2022-10-26 04:22:19 | Bremen, Germany | |||
794310 | 794310 | 2022-10-24 | Germany | Bremen | 273397 | 854 | 0 | 53.0793 | 8.8017 | 2022-10-25 04:21:53 | Bremen, Germany | |||
3276765 | 3276765 | 2022-10-23 | Germany | Bremen | 272773 | 853 | 0 | 53.0793 | 8.8017 | 2022-10-24 04:22:29 | Bremen, Germany | |||
2267803 | 2267803 | 2022-10-22 | Germany | Bremen | 272773 | 853 | 0 | 53.0793 | 8.8017 | 2022-10-23 04:22:46 | Bremen, Germany | |||
1592103 | 1592103 | 2022-10-21 | Germany | Bremen | 272773 | 853 | 0 | 53.0793 | 8.8017 | 2022-10-22 04:22:53 | Bremen, Germany | |||
2271819 | 2271819 | 2022-10-20 | Germany | Bremen | 272312 | 853 | 0 | 53.0793 | 8.8017 | 2022-10-21 04:22:23 | Bremen, Germany | |||
198154 | 198154 | 2022-10-19 | Germany | Bremen | 270609 | 849 | 0 | 53.0793 | 8.8017 | 2022-10-20 04:22:59 | Bremen, Germany | |||
2756815 | 2756815 | 2022-10-18 | Germany | Bremen | 270464 | 849 | 0 | 53.0793 | 8.8017 | 2022-10-19 04:22:26 | Bremen, Germany | |||
2024649 | 2024649 | 2022-10-17 | Germany | Bremen | 269457 | 848 | 0 | 53.0793 | 8.8017 | 2022-10-18 04:22:42 | Bremen, Germany | |||
2159427 | 2159427 | 2022-10-16 | Germany | Bremen | 268894 | 846 | 0 | 53.0793 | 8.8017 | 2022-10-17 04:20:31 | Bremen, Germany | |||
515624 | 515624 | 2022-10-15 | Germany | Bremen | 268894 | 846 | 0 | 53.0793 | 8.8017 | 2022-10-16 04:22:39 | Bremen, Germany | |||
2032681 | 2032681 | 2022-10-14 | Germany | Bremen | 268894 | 846 | 0 | 53.0793 | 8.8017 | 2022-10-15 04:22:00 | Bremen, Germany | |||
3753369 | 3753369 | 2022-10-13 | Germany | Bremen | 268212 | 846 | 0 | 53.0793 | 8.8017 | 2022-10-14 04:22:28 | Bremen, Germany | |||
3214194 | 3214194 | 2022-10-12 | Germany | Bremen | 267396 | 845 | 0 | 53.0793 | 8.8017 | 2022-10-13 04:22:39 | Bremen, Germany | |||
3250043 | 3250043 | 2022-10-11 | Germany | Bremen | 266149 | 845 | 0 | 53.0793 | 8.8017 | 2022-10-12 04:22:51 | Bremen, Germany | |||
2967302 | 2967302 | 2022-10-10 | Germany | Bremen | 265082 | 844 | 0 | 53.0793 | 8.8017 | 2022-10-11 04:23:05 | Bremen, Germany | |||
3097338 | 3097338 | 2022-10-09 | Germany | Bremen | 264076 | 844 | 0 | 53.0793 | 8.8017 | 2022-10-10 04:22:32 | Bremen, Germany | |||
4002563 | 4002563 | 2022-10-08 | Germany | Bremen | 264076 | 844 | 0 | 53.0793 | 8.8017 | 2022-10-09 04:21:16 | Bremen, Germany | |||
396160 | 396160 | 2022-10-07 | Germany | Bremen | 264076 | 844 | 0 | 53.0793 | 8.8017 | 2022-10-08 04:22:56 | Bremen, Germany | |||
2529277 | 2529277 | 2022-10-06 | Germany | Bremen | 262975 | 844 | 0 | 53.0793 | 8.8017 | 2022-10-07 04:23:08 | Bremen, Germany | |||
1810671 | 1810671 | 2022-10-05 | Germany | Bremen | 261782 | 841 | 0 | 53.0793 | 8.8017 | 2022-10-06 04:21:22 | Bremen, Germany | |||
130645 | 130645 | 2022-10-04 | Germany | Bremen | 260679 | 839 | 0 | 53.0793 | 8.8017 | 2022-10-05 04:23:06 | Bremen, Germany | |||
2685592 | 2685592 | 2022-10-03 | Germany | Bremen | 260116 | 839 | 0 | 53.0793 | 8.8017 | 2022-10-04 04:22:55 | Bremen, Germany | |||
2259659 | 2259659 | 2022-10-02 | Germany | Bremen | 260116 | 839 | 0 | 53.0793 | 8.8017 | 2022-10-03 04:23:11 | Bremen, Germany | |||
2995185 | 2995185 | 2022-10-01 | Germany | Bremen | 260116 | 839 | 0 | 53.0793 | 8.8017 | 2022-10-02 04:21:23 | Bremen, Germany | |||
853511 | 853511 | 2022-09-30 | Germany | Bremen | 260116 | 839 | 0 | 53.0793 | 8.8017 | 2022-10-01 04:23:01 | Bremen, Germany | |||
2375437 | 2375437 | 2022-09-29 | Germany | Bremen | 259534 | 839 | 0 | 53.0793 | 8.8017 | 2022-09-30 04:23:09 | Bremen, Germany | |||
1559988 | 1559988 | 2022-09-28 | Germany | Bremen | 258832 | 838 | 0 | 53.0793 | 8.8017 | 2022-09-29 04:22:34 | Bremen, Germany | |||
3994531 | 3994531 | 2022-09-27 | Germany | Bremen | 258143 | 836 | 0 | 53.0793 | 8.8017 | 2022-09-28 04:23:01 | Bremen, Germany | |||
2768859 | 2768859 | 2022-09-26 | Germany | Bremen | 257303 | 836 | 0 | 53.0793 | 8.8017 | 2022-09-27 04:23:01 | Bremen, Germany | |||
1976512 | 1976512 | 2022-09-25 | Germany | Bremen | 257050 | 835 | 0 | 53.0793 | 8.8017 | 2022-09-26 04:20:52 | Bremen, Germany | |||
2649679 | 2649679 | 2022-09-24 | Germany | Bremen | 257050 | 835 | 0 | 53.0793 | 8.8017 | 2022-09-25 04:23:31 | Bremen, Germany | |||
384119 | 384119 | 2022-09-23 | Germany | Bremen | 257050 | 835 | 0 | 53.0793 | 8.8017 | 2022-09-24 04:21:40 | Bremen, Germany | |||
1624185 | 1624185 | 2022-09-22 | Germany | Bremen | 256650 | 834 | 0 | 53.0793 | 8.8017 | 2022-09-23 04:23:13 | Bremen, Germany | |||
1370389 | 1370389 | 2022-09-21 | Germany | Bremen | 256059 | 835 | 0 | 53.0793 | 8.8017 | 2022-09-22 04:22:56 | Bremen, Germany |
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CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);