johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
16,427 rows where country_or_region = "Germany" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
province_or_state 18
- Thuringen 186
- Unknown 186
- Baden-Wurttemberg 185
- Bayern 185
- Berlin 185
- Brandenburg 185
- Bremen 185
- Hamburg 185
- Hessen 185
- Mecklenburg-Vorpommern 185
- Niedersachsen 185
- Nordrhein-Westfalen 185
- Rheinland-Pfalz 185
- Saarland 185
- Sachsen 185
- Sachsen-Anhalt 185
- Schleswig-Holstein 185
- Bavaria 4
country_or_region 1
- Germany · 3,254 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2880127 | 2880127 | 2020-11-15 | Germany | Thuringen | 10755 | 254 | 7556 | 3172 | 51.011 | 10.8453 | 2020-11-16 05:25:57 | Thuringen, Germany | ||
2880128 | 2880128 | 2020-11-15 | Germany | Unknown | 332 | 0 | 0 | 332 | 2020-11-16 05:25:57 | Unknown, Germany | ||||
2915090 | 2915090 | 2020-11-14 | Germany | Baden-Wurttemberg | 113539 | 2242 | 72689 | 40723 | 48.6616 | 9.3501 | 2020-11-15 05:26:53 | Baden-Wurttemberg, Germany | ||
2915091 | 2915091 | 2020-11-14 | Germany | Bayern | 153156 | 3108 | 102451 | 50837 | 48.7904 | 11.4979 | 2020-11-15 05:26:53 | Bayern, Germany | ||
2915092 | 2915092 | 2020-11-14 | Germany | Berlin | 46434 | 348 | 28923 | 17984 | 52.52 | 13.405 | 2020-11-15 05:26:53 | Berlin, Germany | ||
2915093 | 2915093 | 2020-11-14 | Germany | Brandenburg | 12205 | 232 | 9204 | 3897 | 52.4125 | 12.5316 | 2020-11-15 05:26:53 | Brandenburg, Germany | ||
2915094 | 2915094 | 2020-11-14 | Germany | Bremen | 7965 | 94 | 5561 | 2545 | 53.0793 | 8.8017 | 2020-11-15 05:26:53 | Bremen, Germany | ||
2915095 | 2915095 | 2020-11-14 | Germany | Hamburg | 19450 | 311 | 11371 | 8296 | 53.5511 | 9.9937 | 2020-11-15 05:26:53 | Hamburg, Germany | ||
2915096 | 2915096 | 2020-11-14 | Germany | Hessen | 62462 | 854 | 37773 | 25756 | 50.6521 | 9.1624 | 2020-11-15 05:26:53 | Hessen, Germany | ||
2915097 | 2915097 | 2020-11-14 | Germany | Mecklenburg-Vorpommern | 4289 | 37 | 2882 | 1477 | 53.6127 | 12.4296 | 2020-11-15 05:26:53 | Mecklenburg-Vorpommern, Germany | ||
2915098 | 2915098 | 2020-11-14 | Germany | Niedersachsen | 53883 | 897 | 37458 | 16964 | 52.6367 | 9.8451 | 2020-11-15 05:26:53 | Niedersachsen, Germany | ||
2915099 | 2915099 | 2020-11-14 | Germany | Nordrhein-Westfalen | 196363 | 2616 | 125857 | 71583 | 51.4332 | 7.6616 | 2020-11-15 05:26:53 | Nordrhein-Westfalen, Germany | ||
2915100 | 2915100 | 2020-11-14 | Germany | Rheinland-Pfalz | 31397 | 356 | 18261 | 13390 | 50.1183 | 7.309 | 2020-11-15 05:26:53 | Rheinland-Pfalz, Germany | ||
2915101 | 2915101 | 2020-11-14 | Germany | Saarland | 9713 | 211 | 7804 | 2304 | 49.3964 | 7.023 | 2020-11-15 05:26:53 | Saarland, Germany | ||
2915102 | 2915102 | 2020-11-14 | Germany | Sachsen | 33007 | 502 | 18090 | 15323 | 51.1045 | 13.2017 | 2020-11-15 05:26:53 | Sachsen, Germany | ||
2915103 | 2915103 | 2020-11-14 | Germany | Sachsen-Anhalt | 7941 | 105 | 5273 | 2666 | 51.9503 | 11.6923 | 2020-11-15 05:26:53 | Sachsen-Anhalt, Germany | ||
2915104 | 2915104 | 2020-11-14 | Germany | Schleswig-Holstein | 11203 | 218 | 7995 | 3147 | 54.2194 | 9.6961 | 2020-11-15 05:26:53 | Schleswig-Holstein, Germany | ||
2915105 | 2915105 | 2020-11-14 | Germany | Thuringen | 10549 | 247 | 7404 | 3097 | 51.011 | 10.8453 | 2020-11-15 05:26:53 | Thuringen, Germany | ||
2915106 | 2915106 | 2020-11-14 | Germany | Unknown | 8237 | 0 | 0 | 8237 | 2020-11-15 05:26:53 | Unknown, Germany | ||||
2784912 | 2784912 | 2020-11-13 | Germany | Baden-Wurttemberg | 110633 | 2225 | 71396 | 39901 | 48.6616 | 9.3501 | 2020-11-14 05:25:37 | Baden-Wurttemberg, Germany | ||
2784913 | 2784913 | 2020-11-13 | Germany | Bayern | 148882 | 3081 | 100219 | 49829 | 48.7904 | 11.4979 | 2020-11-14 05:25:37 | Bayern, Germany | ||
2784914 | 2784914 | 2020-11-13 | Germany | Berlin | 45106 | 334 | 28424 | 17662 | 52.52 | 13.405 | 2020-11-14 05:25:37 | Berlin, Germany | ||
2784915 | 2784915 | 2020-11-13 | Germany | Brandenburg | 11852 | 230 | 8934 | 3730 | 52.4125 | 12.5316 | 2020-11-14 05:25:37 | Brandenburg, Germany | ||
2784916 | 2784916 | 2020-11-13 | Germany | Bremen | 7803 | 93 | 5561 | 2363 | 53.0793 | 8.8017 | 2020-11-14 05:25:37 | Bremen, Germany | ||
2784917 | 2784917 | 2020-11-13 | Germany | Hamburg | 18914 | 310 | 11043 | 8096 | 53.5511 | 9.9937 | 2020-11-14 05:25:37 | Hamburg, Germany | ||
2784918 | 2784918 | 2020-11-13 | Germany | Hessen | 61055 | 836 | 36774 | 24834 | 50.6521 | 9.1624 | 2020-11-14 05:25:37 | Hessen, Germany | ||
2784919 | 2784919 | 2020-11-13 | Germany | Mecklenburg-Vorpommern | 4165 | 36 | 2764 | 1488 | 53.6127 | 12.4296 | 2020-11-14 05:25:37 | Mecklenburg-Vorpommern, Germany | ||
2784920 | 2784920 | 2020-11-13 | Germany | Niedersachsen | 51770 | 882 | 36450 | 16536 | 52.6367 | 9.8451 | 2020-11-14 05:25:37 | Niedersachsen, Germany | ||
2784921 | 2784921 | 2020-11-13 | Germany | Nordrhein-Westfalen | 191011 | 2581 | 122653 | 71094 | 51.4332 | 7.6616 | 2020-11-14 05:25:37 | Nordrhein-Westfalen, Germany | ||
2784922 | 2784922 | 2020-11-13 | Germany | Rheinland-Pfalz | 30250 | 352 | 17892 | 13149 | 50.1183 | 7.309 | 2020-11-14 05:25:37 | Rheinland-Pfalz, Germany | ||
2784923 | 2784923 | 2020-11-13 | Germany | Saarland | 9452 | 208 | 7521 | 2362 | 49.3964 | 7.023 | 2020-11-14 05:25:37 | Saarland, Germany | ||
2784924 | 2784924 | 2020-11-13 | Germany | Sachsen | 31538 | 474 | 18090 | 14415 | 51.1045 | 13.2017 | 2020-11-14 05:25:37 | Sachsen, Germany | ||
2784925 | 2784925 | 2020-11-13 | Germany | Sachsen-Anhalt | 7641 | 105 | 5124 | 2716 | 51.9503 | 11.6923 | 2020-11-14 05:25:37 | Sachsen-Anhalt, Germany | ||
2784926 | 2784926 | 2020-11-13 | Germany | Schleswig-Holstein | 10924 | 213 | 7839 | 3146 | 54.2194 | 9.6961 | 2020-11-14 05:25:37 | Schleswig-Holstein, Germany | ||
2784927 | 2784927 | 2020-11-13 | Germany | Thuringen | 10099 | 240 | 7229 | 3073 | 51.011 | 10.8453 | 2020-11-14 05:25:37 | Thuringen, Germany | ||
2784928 | 2784928 | 2020-11-13 | Germany | Unknown | 10382 | 0 | 0 | 10382 | 2020-11-14 05:25:37 | Unknown, Germany | ||||
864677 | 864677 | 2020-11-12 | Germany | Baden-Wurttemberg | 107649 | 2189 | 69751 | 38657 | 48.6616 | 9.3501 | 2020-11-13 05:25:30 | Baden-Wurttemberg, Germany | ||
864678 | 864678 | 2020-11-12 | Germany | Bayern | 144705 | 3050 | 97857 | 47944 | 48.7904 | 11.4979 | 2020-11-13 05:25:30 | Bayern, Germany | ||
864679 | 864679 | 2020-11-12 | Germany | Berlin | 43146 | 321 | 27943 | 16829 | 52.52 | 13.405 | 2020-11-13 05:25:30 | Berlin, Germany | ||
864680 | 864680 | 2020-11-12 | Germany | Brandenburg | 11483 | 229 | 8688 | 3559 | 52.4125 | 12.5316 | 2020-11-13 05:25:30 | Brandenburg, Germany | ||
864681 | 864681 | 2020-11-12 | Germany | Bremen | 7565 | 89 | 5364 | 2391 | 53.0793 | 8.8017 | 2020-11-13 05:25:30 | Bremen, Germany | ||
864682 | 864682 | 2020-11-12 | Germany | Hamburg | 18255 | 308 | 10809 | 7796 | 53.5511 | 9.9937 | 2020-11-13 05:25:30 | Hamburg, Germany | ||
864683 | 864683 | 2020-11-12 | Germany | Hessen | 59371 | 821 | 35623 | 24596 | 50.6521 | 9.1624 | 2020-11-13 05:25:30 | Hessen, Germany | ||
864684 | 864684 | 2020-11-12 | Germany | Mecklenburg-Vorpommern | 3910 | 34 | 2634 | 1495 | 53.6127 | 12.4296 | 2020-11-13 05:25:30 | Mecklenburg-Vorpommern, Germany | ||
864685 | 864685 | 2020-11-12 | Germany | Niedersachsen | 50167 | 868 | 35213 | 15675 | 52.6367 | 9.8451 | 2020-11-13 05:25:30 | Niedersachsen, Germany | ||
864686 | 864686 | 2020-11-12 | Germany | Nordrhein-Westfalen | 185138 | 2517 | 118827 | 69603 | 51.4332 | 7.6616 | 2020-11-13 05:25:30 | Nordrhein-Westfalen, Germany | ||
864687 | 864687 | 2020-11-12 | Germany | Rheinland-Pfalz | 28958 | 342 | 17402 | 12496 | 50.1183 | 7.309 | 2020-11-13 05:25:30 | Rheinland-Pfalz, Germany | ||
864688 | 864688 | 2020-11-12 | Germany | Saarland | 9276 | 207 | 7234 | 2431 | 49.3964 | 7.023 | 2020-11-13 05:25:30 | Saarland, Germany | ||
864689 | 864689 | 2020-11-12 | Germany | Sachsen | 30100 | 458 | 17270 | 13794 | 51.1045 | 13.2017 | 2020-11-13 05:25:30 | Sachsen, Germany | ||
864690 | 864690 | 2020-11-12 | Germany | Sachsen-Anhalt | 7367 | 102 | 4975 | 2565 | 51.9503 | 11.6923 | 2020-11-13 05:25:30 | Sachsen-Anhalt, Germany | ||
864691 | 864691 | 2020-11-12 | Germany | Schleswig-Holstein | 10715 | 213 | 7609 | 3102 | 54.2194 | 9.6961 | 2020-11-13 05:25:30 | Schleswig-Holstein, Germany | ||
864692 | 864692 | 2020-11-12 | Germany | Thuringen | 9748 | 234 | 7009 | 2850 | 51.011 | 10.8453 | 2020-11-13 05:25:30 | Thuringen, Germany | ||
864693 | 864693 | 2020-11-12 | Germany | Unknown | 10625 | 0 | 0 | 10625 | 2020-11-13 05:25:30 | Unknown, Germany | ||||
3440722 | 3440722 | 2020-11-11 | Germany | Baden-Wurttemberg | 104707 | 2167 | 68320 | 37140 | 48.6616 | 9.3501 | 2020-11-12 05:25:55 | Baden-Wurttemberg, Germany | ||
3440723 | 3440723 | 2020-11-11 | Germany | Bayern | 139914 | 3018 | 95719 | 45936 | 48.7904 | 11.4979 | 2020-11-12 05:25:55 | Bayern, Germany | ||
3440724 | 3440724 | 2020-11-11 | Germany | Berlin | 42014 | 314 | 27085 | 15740 | 52.52 | 13.405 | 2020-11-12 05:25:55 | Berlin, Germany | ||
3440725 | 3440725 | 2020-11-11 | Germany | Brandenburg | 11031 | 226 | 8424 | 3396 | 52.4125 | 12.5316 | 2020-11-12 05:25:55 | Brandenburg, Germany | ||
3440726 | 3440726 | 2020-11-11 | Germany | Bremen | 7367 | 89 | 5163 | 2350 | 53.0793 | 8.8017 | 2020-11-12 05:25:55 | Bremen, Germany | ||
3440727 | 3440727 | 2020-11-11 | Germany | Hamburg | 17860 | 305 | 10603 | 7344 | 53.5511 | 9.9937 | 2020-11-12 05:25:55 | Hamburg, Germany | ||
3440728 | 3440728 | 2020-11-11 | Germany | Hessen | 57466 | 809 | 34540 | 24010 | 50.6521 | 9.1624 | 2020-11-12 05:25:55 | Hessen, Germany | ||
3440729 | 3440729 | 2020-11-11 | Germany | Mecklenburg-Vorpommern | 3910 | 34 | 2522 | 1472 | 53.6127 | 12.4296 | 2020-11-12 05:25:55 | Mecklenburg-Vorpommern, Germany | ||
3440730 | 3440730 | 2020-11-11 | Germany | Niedersachsen | 48400 | 843 | 34017 | 15282 | 52.6367 | 9.8451 | 2020-11-12 05:25:55 | Niedersachsen, Germany | ||
3440731 | 3440731 | 2020-11-11 | Germany | Nordrhein-Westfalen | 180523 | 2465 | 115152 | 67469 | 51.4332 | 7.6616 | 2020-11-12 05:25:55 | Nordrhein-Westfalen, Germany | ||
3440732 | 3440732 | 2020-11-11 | Germany | Rheinland-Pfalz | 28034 | 334 | 16911 | 11705 | 50.1183 | 7.309 | 2020-11-12 05:25:55 | Rheinland-Pfalz, Germany | ||
3440733 | 3440733 | 2020-11-11 | Germany | Saarland | 9012 | 205 | 6931 | 2497 | 49.3964 | 7.023 | 2020-11-12 05:25:55 | Saarland, Germany | ||
3440734 | 3440734 | 2020-11-11 | Germany | Sachsen | 28507 | 426 | 16100 | 13542 | 51.1045 | 13.2017 | 2020-11-12 05:25:55 | Sachsen, Germany | ||
3440735 | 3440735 | 2020-11-11 | Germany | Sachsen-Anhalt | 7101 | 96 | 4794 | 2477 | 51.9503 | 11.6923 | 2020-11-12 05:25:55 | Sachsen-Anhalt, Germany | ||
3440736 | 3440736 | 2020-11-11 | Germany | Schleswig-Holstein | 10466 | 208 | 7400 | 3102 | 54.2194 | 9.6961 | 2020-11-12 05:25:55 | Schleswig-Holstein, Germany | ||
3440737 | 3440737 | 2020-11-11 | Germany | Thuringen | 9375 | 228 | 6823 | 2691 | 51.011 | 10.8453 | 2020-11-12 05:25:55 | Thuringen, Germany | ||
3440738 | 3440738 | 2020-11-11 | Germany | Unknown | 9443 | 0 | 0 | 9443 | 2020-11-12 05:25:55 | Unknown, Germany | ||||
272062 | 272062 | 2020-11-10 | Germany | Baden-Wurttemberg | 102293 | 2133 | 66745 | 35795 | 48.6616 | 9.3501 | 2020-11-11 05:25:30 | Baden-Wurttemberg, Germany | ||
272063 | 272063 | 2020-11-10 | Germany | Bayern | 136636 | 2953 | 93412 | 43484 | 48.7904 | 11.4979 | 2020-11-11 05:25:30 | Bayern, Germany | ||
272064 | 272064 | 2020-11-10 | Germany | Berlin | 40460 | 301 | 26401 | 15299 | 52.52 | 13.405 | 2020-11-11 05:25:30 | Berlin, Germany | ||
272065 | 272065 | 2020-11-10 | Germany | Brandenburg | 10790 | 223 | 8092 | 3353 | 52.4125 | 12.5316 | 2020-11-11 05:25:30 | Brandenburg, Germany | ||
272066 | 272066 | 2020-11-10 | Germany | Bremen | 7254 | 88 | 4857 | 2439 | 53.0793 | 8.8017 | 2020-11-11 05:25:30 | Bremen, Germany | ||
272067 | 272067 | 2020-11-10 | Germany | Hamburg | 17437 | 304 | 10400 | 7155 | 53.5511 | 9.9937 | 2020-11-11 05:25:30 | Hamburg, Germany | ||
272068 | 272068 | 2020-11-10 | Germany | Hessen | 55744 | 786 | 33191 | 23466 | 50.6521 | 9.1624 | 2020-11-11 05:25:30 | Hessen, Germany | ||
272069 | 272069 | 2020-11-10 | Germany | Mecklenburg-Vorpommern | 3786 | 31 | 2440 | 1438 | 53.6127 | 12.4296 | 2020-11-11 05:25:30 | Mecklenburg-Vorpommern, Germany | ||
272070 | 272070 | 2020-11-10 | Germany | Niedersachsen | 47319 | 834 | 32926 | 14631 | 52.6367 | 9.8451 | 2020-11-11 05:25:30 | Niedersachsen, Germany | ||
272071 | 272071 | 2020-11-10 | Germany | Nordrhein-Westfalen | 175951 | 2395 | 111342 | 66716 | 51.4332 | 7.6616 | 2020-11-11 05:25:30 | Nordrhein-Westfalen, Germany | ||
272072 | 272072 | 2020-11-10 | Germany | Rheinland-Pfalz | 27237 | 325 | 16518 | 11182 | 50.1183 | 7.309 | 2020-11-11 05:25:30 | Rheinland-Pfalz, Germany | ||
272073 | 272073 | 2020-11-10 | Germany | Saarland | 8640 | 202 | 6751 | 2411 | 49.3964 | 7.023 | 2020-11-11 05:25:30 | Saarland, Germany | ||
272074 | 272074 | 2020-11-10 | Germany | Sachsen | 27339 | 409 | 14870 | 13211 | 51.1045 | 13.2017 | 2020-11-11 05:25:30 | Sachsen, Germany | ||
272075 | 272075 | 2020-11-10 | Germany | Sachsen-Anhalt | 6928 | 93 | 4626 | 2383 | 51.9503 | 11.6923 | 2020-11-11 05:25:30 | Sachsen-Anhalt, Germany | ||
272076 | 272076 | 2020-11-10 | Germany | Schleswig-Holstein | 10214 | 205 | 7221 | 3037 | 54.2194 | 9.6961 | 2020-11-11 05:25:30 | Schleswig-Holstein, Germany | ||
272077 | 272077 | 2020-11-10 | Germany | Thuringen | 9172 | 224 | 6610 | 2537 | 51.011 | 10.8453 | 2020-11-11 05:25:30 | Thuringen, Germany | ||
272078 | 272078 | 2020-11-10 | Germany | Unknown | 8973 | 0 | 0 | 8973 | 2020-11-11 05:25:30 | Unknown, Germany | ||||
1988539 | 1988539 | 2020-11-09 | Germany | Baden-Wurttemberg | 100752 | 2120 | 66745 | 33411 | 48.6616 | 9.3501 | 2020-11-10 05:40:07 | Baden-Wurttemberg, Germany | ||
1988540 | 1988540 | 2020-11-09 | Germany | Bayern | 133808 | 2923 | 93412 | 37777 | 48.7904 | 11.4979 | 2020-11-10 05:40:07 | Bayern, Germany | ||
1988541 | 1988541 | 2020-11-09 | Germany | Berlin | 39624 | 295 | 25569 | 14590 | 52.52 | 13.405 | 2020-11-10 05:40:07 | Berlin, Germany | ||
1988542 | 1988542 | 2020-11-09 | Germany | Brandenburg | 10516 | 217 | 7812 | 3390 | 52.4125 | 12.5316 | 2020-11-10 05:40:07 | Brandenburg, Germany | ||
1988543 | 1988543 | 2020-11-09 | Germany | Bremen | 7133 | 87 | 4441 | 2737 | 53.0793 | 8.8017 | 2020-11-10 05:40:07 | Bremen, Germany | ||
1988544 | 1988544 | 2020-11-09 | Germany | Hamburg | 17139 | 304 | 10353 | 6780 | 53.5511 | 9.9937 | 2020-11-10 05:40:07 | Hamburg, Germany | ||
1988545 | 1988545 | 2020-11-09 | Germany | Hessen | 54043 | 758 | 33191 | 20094 | 50.6521 | 9.1624 | 2020-11-10 05:40:07 | Hessen, Germany | ||
1988546 | 1988546 | 2020-11-09 | Germany | Mecklenburg-Vorpommern | 3745 | 30 | 2356 | 1398 | 53.6127 | 12.4296 | 2020-11-10 05:40:07 | Mecklenburg-Vorpommern, Germany | ||
1988547 | 1988547 | 2020-11-09 | Germany | Niedersachsen | 46322 | 823 | 32926 | 13230 | 52.6367 | 9.8451 | 2020-11-10 05:40:07 | Niedersachsen, Germany | ||
1988548 | 1988548 | 2020-11-09 | Germany | Nordrhein-Westfalen | 171631 | 2355 | 111342 | 57934 | 51.4332 | 7.6616 | 2020-11-10 05:40:07 | Nordrhein-Westfalen, Germany | ||
1988549 | 1988549 | 2020-11-09 | Germany | Rheinland-Pfalz | 26352 | 320 | 16518 | 10373 | 50.1183 | 7.309 | 2020-11-10 05:40:07 | Rheinland-Pfalz, Germany | ||
1988550 | 1988550 | 2020-11-09 | Germany | Saarland | 8426 | 201 | 6534 | 2396 | 49.3964 | 7.023 | 2020-11-10 05:40:07 | Saarland, Germany | ||
1988551 | 1988551 | 2020-11-09 | Germany | Sachsen | 26680 | 405 | 14130 | 12719 | 51.1045 | 13.2017 | 2020-11-10 05:40:07 | Sachsen, 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]);