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
- Baden-Wurttemberg 191
- Bayern 191
- Berlin 191
- Brandenburg 191
- Bremen 191
- Hamburg 191
- Hessen 191
- Mecklenburg-Vorpommern 191
- Niedersachsen 191
- Nordrhein-Westfalen 191
- Rheinland-Pfalz 191
- Saarland 191
- Sachsen 191
- Sachsen-Anhalt 191
- Schleswig-Holstein 191
- Thuringen 191
- Unknown 191
- Bavaria 4
country_or_region 1
- Germany · 3,354 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2701417 | 2701417 | 2020-11-20 | Germany | Baden-Wurttemberg | 127103 | 2405 | 83834 | 43635 | 48.6616 | 9.3501 | 2020-11-21 05:25:51 | Baden-Wurttemberg, Germany | ||
2701418 | 2701418 | 2020-11-20 | Germany | Bayern | 173239 | 3348 | 118444 | 55691 | 48.7904 | 11.4979 | 2020-11-21 05:25:51 | Bayern, Germany | ||
2701419 | 2701419 | 2020-11-20 | Germany | Berlin | 53315 | 422 | 33850 | 20727 | 52.52 | 13.405 | 2020-11-21 05:25:51 | Berlin, Germany | ||
2701420 | 2701420 | 2020-11-20 | Germany | Brandenburg | 14347 | 270 | 11290 | 4104 | 52.4125 | 12.5316 | 2020-11-21 05:25:51 | Brandenburg, Germany | ||
2701421 | 2701421 | 2020-11-20 | Germany | Bremen | 8867 | 104 | 6897 | 2050 | 53.0793 | 8.8017 | 2020-11-21 05:25:51 | Bremen, Germany | ||
2701422 | 2701422 | 2020-11-20 | Germany | Hamburg | 21735 | 331 | 12900 | 8864 | 53.5511 | 9.9937 | 2020-11-21 05:25:51 | Hamburg, Germany | ||
2701423 | 2701423 | 2020-11-20 | Germany | Hessen | 72525 | 980 | 44950 | 28408 | 50.6521 | 9.1624 | 2020-11-21 05:25:51 | Hessen, Germany | ||
2701424 | 2701424 | 2020-11-20 | Germany | Mecklenburg-Vorpommern | 4932 | 49 | 3587 | 1426 | 53.6127 | 12.4296 | 2020-11-21 05:25:51 | Mecklenburg-Vorpommern, Germany | ||
2701425 | 2701425 | 2020-11-20 | Germany | Niedersachsen | 59968 | 970 | 44138 | 16498 | 52.6367 | 9.8451 | 2020-11-21 05:25:51 | Niedersachsen, Germany | ||
2701426 | 2701426 | 2020-11-20 | Germany | Nordrhein-Westfalen | 222535 | 2887 | 148023 | 76817 | 51.4332 | 7.6616 | 2020-11-21 05:25:51 | Nordrhein-Westfalen, Germany | ||
2701427 | 2701427 | 2020-11-20 | Germany | Rheinland-Pfalz | 36091 | 402 | 21267 | 15454 | 50.1183 | 7.309 | 2020-11-21 05:25:51 | Rheinland-Pfalz, Germany | ||
2701428 | 2701428 | 2020-11-20 | Germany | Saarland | 11006 | 234 | 8823 | 2330 | 49.3964 | 7.023 | 2020-11-21 05:25:51 | Saarland, Germany | ||
2701429 | 2701429 | 2020-11-20 | Germany | Sachsen | 39801 | 602 | 25560 | 15150 | 51.1045 | 13.2017 | 2020-11-21 05:25:51 | Sachsen, Germany | ||
2701430 | 2701430 | 2020-11-20 | Germany | Sachsen-Anhalt | 9266 | 113 | 6414 | 3065 | 51.9503 | 11.6923 | 2020-11-21 05:25:51 | Sachsen-Anhalt, Germany | ||
2701431 | 2701431 | 2020-11-20 | Germany | Schleswig-Holstein | 12388 | 231 | 9112 | 3293 | 54.2194 | 9.6961 | 2020-11-21 05:25:51 | Schleswig-Holstein, Germany | ||
2701432 | 2701432 | 2020-11-20 | Germany | Thuringen | 12446 | 282 | 8691 | 4152 | 51.011 | 10.8453 | 2020-11-21 05:25:51 | Thuringen, Germany | ||
2701433 | 2701433 | 2020-11-20 | Germany | Unknown | 10756 | 0 | 0 | 10756 | 2020-11-21 05:25:51 | Unknown, Germany | ||||
821477 | 821477 | 2020-11-19 | Germany | Baden-Wurttemberg | 123941 | 2369 | 81728 | 42970 | 48.6616 | 9.3501 | 2020-11-20 05:26:28 | Baden-Wurttemberg, Germany | ||
821478 | 821478 | 2020-11-19 | Germany | Bayern | 168358 | 3314 | 115184 | 54707 | 48.7904 | 11.4979 | 2020-11-20 05:26:28 | Bayern, Germany | ||
821479 | 821479 | 2020-11-19 | Germany | Berlin | 52068 | 401 | 32827 | 20066 | 52.52 | 13.405 | 2020-11-20 05:26:28 | Berlin, Germany | ||
821480 | 821480 | 2020-11-19 | Germany | Brandenburg | 13947 | 262 | 10972 | 3887 | 52.4125 | 12.5316 | 2020-11-20 05:26:28 | Brandenburg, Germany | ||
821481 | 821481 | 2020-11-19 | Germany | Bremen | 8749 | 103 | 6738 | 2035 | 53.0793 | 8.8017 | 2020-11-20 05:26:28 | Bremen, Germany | ||
821482 | 821482 | 2020-11-19 | Germany | Hamburg | 21076 | 318 | 12400 | 9004 | 53.5511 | 9.9937 | 2020-11-20 05:26:28 | Hamburg, Germany | ||
821483 | 821483 | 2020-11-19 | Germany | Hessen | 70200 | 961 | 43415 | 28130 | 50.6521 | 9.1624 | 2020-11-20 05:26:28 | Hessen, Germany | ||
821484 | 821484 | 2020-11-19 | Germany | Mecklenburg-Vorpommern | 4787 | 47 | 3466 | 1418 | 53.6127 | 12.4296 | 2020-11-20 05:26:28 | Mecklenburg-Vorpommern, Germany | ||
821485 | 821485 | 2020-11-19 | Germany | Niedersachsen | 58346 | 951 | 42993 | 16005 | 52.6367 | 9.8451 | 2020-11-20 05:26:28 | Niedersachsen, Germany | ||
821486 | 821486 | 2020-11-19 | Germany | Nordrhein-Westfalen | 216809 | 2819 | 143888 | 75760 | 51.4332 | 7.6616 | 2020-11-20 05:26:28 | Nordrhein-Westfalen, Germany | ||
821487 | 821487 | 2020-11-19 | Germany | Rheinland-Pfalz | 35065 | 391 | 20636 | 15053 | 50.1183 | 7.309 | 2020-11-20 05:26:28 | Rheinland-Pfalz, Germany | ||
821488 | 821488 | 2020-11-19 | Germany | Saarland | 10627 | 231 | 8646 | 2313 | 49.3964 | 7.023 | 2020-11-20 05:26:28 | Saarland, Germany | ||
821489 | 821489 | 2020-11-19 | Germany | Sachsen | 38769 | 582 | 24380 | 14819 | 51.1045 | 13.2017 | 2020-11-20 05:26:28 | Sachsen, Germany | ||
821490 | 821490 | 2020-11-19 | Germany | Sachsen-Anhalt | 8944 | 113 | 6294 | 2862 | 51.9503 | 11.6923 | 2020-11-20 05:26:28 | Sachsen-Anhalt, Germany | ||
821491 | 821491 | 2020-11-19 | Germany | Schleswig-Holstein | 12124 | 229 | 8917 | 3240 | 54.2194 | 9.6961 | 2020-11-20 05:26:28 | Schleswig-Holstein, Germany | ||
821492 | 821492 | 2020-11-19 | Germany | Thuringen | 12106 | 279 | 8477 | 3687 | 51.011 | 10.8453 | 2020-11-20 05:26:28 | Thuringen, Germany | ||
821493 | 821493 | 2020-11-19 | Germany | Unknown | 10946 | 0 | 0 | 10946 | 2020-11-20 05:26:28 | Unknown, Germany | ||||
122611 | 122611 | 2020-11-18 | Germany | Baden-Wurttemberg | 120870 | 2333 | 79536 | 42036 | 48.6616 | 9.3501 | 2020-11-19 05:25:23 | Baden-Wurttemberg, Germany | ||
122612 | 122612 | 2020-11-18 | Germany | Bayern | 164288 | 3262 | 112183 | 52861 | 48.7904 | 11.4979 | 2020-11-19 05:25:23 | Bayern, Germany | ||
122613 | 122613 | 2020-11-18 | Germany | Berlin | 50611 | 394 | 31806 | 19861 | 52.52 | 13.405 | 2020-11-19 05:25:23 | Berlin, Germany | ||
122614 | 122614 | 2020-11-18 | Germany | Brandenburg | 13517 | 253 | 10662 | 3757 | 52.4125 | 12.5316 | 2020-11-19 05:25:23 | Brandenburg, Germany | ||
122615 | 122615 | 2020-11-18 | Germany | Bremen | 8447 | 102 | 6493 | 2157 | 53.0793 | 8.8017 | 2020-11-19 05:25:23 | Bremen, Germany | ||
122616 | 122616 | 2020-11-18 | Germany | Hamburg | 20830 | 315 | 12047 | 8711 | 53.5511 | 9.9937 | 2020-11-19 05:25:23 | Hamburg, Germany | ||
122617 | 122617 | 2020-11-18 | Germany | Hessen | 68070 | 935 | 42065 | 27174 | 50.6521 | 9.1624 | 2020-11-19 05:25:23 | Hessen, Germany | ||
122618 | 122618 | 2020-11-18 | Germany | Mecklenburg-Vorpommern | 4620 | 44 | 3313 | 1429 | 53.6127 | 12.4296 | 2020-11-19 05:25:23 | Mecklenburg-Vorpommern, Germany | ||
122619 | 122619 | 2020-11-18 | Germany | Niedersachsen | 56924 | 935 | 41801 | 15594 | 52.6367 | 9.8451 | 2020-11-19 05:25:23 | Niedersachsen, Germany | ||
122620 | 122620 | 2020-11-18 | Germany | Nordrhein-Westfalen | 211380 | 2766 | 139851 | 74139 | 51.4332 | 7.6616 | 2020-11-19 05:25:23 | Nordrhein-Westfalen, Germany | ||
122621 | 122621 | 2020-11-18 | Germany | Rheinland-Pfalz | 34144 | 381 | 20094 | 14580 | 50.1183 | 7.309 | 2020-11-19 05:25:23 | Rheinland-Pfalz, Germany | ||
122622 | 122622 | 2020-11-18 | Germany | Saarland | 10524 | 228 | 8452 | 2171 | 49.3964 | 7.023 | 2020-11-19 05:25:23 | Saarland, Germany | ||
122623 | 122623 | 2020-11-18 | Germany | Sachsen | 36891 | 567 | 22910 | 15277 | 51.1045 | 13.2017 | 2020-11-19 05:25:23 | Sachsen, Germany | ||
122624 | 122624 | 2020-11-18 | Germany | Sachsen-Anhalt | 8669 | 108 | 6100 | 2734 | 51.9503 | 11.6923 | 2020-11-19 05:25:23 | Sachsen-Anhalt, Germany | ||
122625 | 122625 | 2020-11-18 | Germany | Schleswig-Holstein | 11917 | 227 | 8718 | 3177 | 54.2194 | 9.6961 | 2020-11-19 05:25:23 | Schleswig-Holstein, Germany | ||
122626 | 122626 | 2020-11-18 | Germany | Thuringen | 11605 | 269 | 8241 | 3586 | 51.011 | 10.8453 | 2020-11-19 05:25:23 | Thuringen, Germany | ||
122627 | 122627 | 2020-11-18 | Germany | Unknown | 10578 | 0 | 0 | 10578 | 2020-11-19 05:25:23 | Unknown, Germany | ||||
3338499 | 3338499 | 2020-11-17 | Germany | Baden-Wurttemberg | 118596 | 2297 | 77338 | 41199 | 48.6616 | 9.3501 | 2020-11-18 05:40:31 | Baden-Wurttemberg, Germany | ||
3338500 | 3338500 | 2020-11-17 | Germany | Bayern | 160729 | 3191 | 109022 | 52004 | 48.7904 | 11.4979 | 2020-11-18 05:40:31 | Bayern, Germany | ||
3338501 | 3338501 | 2020-11-17 | Germany | Berlin | 49039 | 371 | 30940 | 19277 | 52.52 | 13.405 | 2020-11-18 05:40:31 | Berlin, Germany | ||
3338502 | 3338502 | 2020-11-17 | Germany | Brandenburg | 13260 | 251 | 10289 | 3738 | 52.4125 | 12.5316 | 2020-11-18 05:40:31 | Brandenburg, Germany | ||
3338503 | 3338503 | 2020-11-17 | Germany | Bremen | 8277 | 98 | 6233 | 2122 | 53.0793 | 8.8017 | 2020-11-18 05:40:31 | Bremen, Germany | ||
3338504 | 3338504 | 2020-11-17 | Germany | Hamburg | 20405 | 314 | 11810 | 8705 | 53.5511 | 9.9937 | 2020-11-18 05:40:31 | Hamburg, Germany | ||
3338505 | 3338505 | 2020-11-17 | Germany | Hessen | 66503 | 905 | 40706 | 26429 | 50.6521 | 9.1624 | 2020-11-18 05:40:31 | Hessen, Germany | ||
3338506 | 3338506 | 2020-11-17 | Germany | Mecklenburg-Vorpommern | 4464 | 40 | 3132 | 1444 | 53.6127 | 12.4296 | 2020-11-18 05:40:31 | Mecklenburg-Vorpommern, Germany | ||
3338507 | 3338507 | 2020-11-17 | Germany | Niedersachsen | 56182 | 917 | 40511 | 15478 | 52.6367 | 9.8451 | 2020-11-18 05:40:31 | Niedersachsen, Germany | ||
3338508 | 3338508 | 2020-11-17 | Germany | Nordrhein-Westfalen | 207224 | 2700 | 135693 | 72921 | 51.4332 | 7.6616 | 2020-11-18 05:40:31 | Nordrhein-Westfalen, Germany | ||
3338509 | 3338509 | 2020-11-17 | Germany | Rheinland-Pfalz | 33459 | 370 | 19540 | 14223 | 50.1183 | 7.309 | 2020-11-18 05:40:31 | Rheinland-Pfalz, Germany | ||
3338510 | 3338510 | 2020-11-17 | Germany | Saarland | 10300 | 217 | 8372 | 2110 | 49.3964 | 7.023 | 2020-11-18 05:40:31 | Saarland, Germany | ||
3338511 | 3338511 | 2020-11-17 | Germany | Sachsen | 36083 | 546 | 21390 | 14934 | 51.1045 | 13.2017 | 2020-11-18 05:40:31 | Sachsen, Germany | ||
3338512 | 3338512 | 2020-11-17 | Germany | Sachsen-Anhalt | 8383 | 106 | 5871 | 2694 | 51.9503 | 11.6923 | 2020-11-18 05:40:31 | Sachsen-Anhalt, Germany | ||
3338513 | 3338513 | 2020-11-17 | Germany | Schleswig-Holstein | 11623 | 227 | 8515 | 3175 | 54.2194 | 9.6961 | 2020-11-18 05:40:31 | Schleswig-Holstein, Germany | ||
3338514 | 3338514 | 2020-11-17 | Germany | Thuringen | 11219 | 264 | 7985 | 3351 | 51.011 | 10.8453 | 2020-11-18 05:40:31 | Thuringen, Germany | ||
3338515 | 3338515 | 2020-11-17 | Germany | Unknown | 9468 | 0 | 0 | 9468 | 2020-11-18 05:40:31 | Unknown, Germany | ||||
3169544 | 3169544 | 2020-11-16 | Germany | Baden-Wurttemberg | 116996 | 2265 | 75390 | 41039 | 48.6616 | 9.3501 | 2020-11-17 05:25:54 | Baden-Wurttemberg, Germany | ||
3169545 | 3169545 | 2020-11-16 | Germany | Bayern | 158849 | 3144 | 106402 | 51136 | 48.7904 | 11.4979 | 2020-11-17 05:25:54 | Bayern, Germany | ||
3169546 | 3169546 | 2020-11-16 | Germany | Berlin | 47697 | 363 | 29927 | 18741 | 52.52 | 13.405 | 2020-11-17 05:25:54 | Berlin, Germany | ||
3169547 | 3169547 | 2020-11-16 | Germany | Brandenburg | 12873 | 241 | 9892 | 3733 | 52.4125 | 12.5316 | 2020-11-17 05:25:54 | Brandenburg, Germany | ||
3169548 | 3169548 | 2020-11-16 | Germany | Bremen | 8220 | 97 | 5964 | 2272 | 53.0793 | 8.8017 | 2020-11-17 05:25:54 | Bremen, Germany | ||
3169549 | 3169549 | 2020-11-16 | Germany | Hamburg | 20220 | 313 | 11600 | 8492 | 53.5511 | 9.9937 | 2020-11-17 05:25:54 | Hamburg, Germany | ||
3169550 | 3169550 | 2020-11-16 | Germany | Hessen | 65479 | 873 | 39520 | 26078 | 50.6521 | 9.1624 | 2020-11-17 05:25:54 | Hessen, Germany | ||
3169551 | 3169551 | 2020-11-16 | Germany | Mecklenburg-Vorpommern | 4435 | 38 | 3043 | 1381 | 53.6127 | 12.4296 | 2020-11-17 05:25:54 | Mecklenburg-Vorpommern, Germany | ||
3169552 | 3169552 | 2020-11-16 | Germany | Niedersachsen | 55433 | 904 | 39333 | 15932 | 52.6367 | 9.8451 | 2020-11-17 05:25:54 | Niedersachsen, Germany | ||
3169553 | 3169553 | 2020-11-16 | Germany | Nordrhein-Westfalen | 202817 | 2637 | 131792 | 72732 | 51.4332 | 7.6616 | 2020-11-17 05:25:54 | Nordrhein-Westfalen, Germany | ||
3169554 | 3169554 | 2020-11-16 | Germany | Rheinland-Pfalz | 32563 | 363 | 19042 | 14047 | 50.1183 | 7.309 | 2020-11-17 05:25:54 | Rheinland-Pfalz, Germany | ||
3169555 | 3169555 | 2020-11-16 | Germany | Saarland | 10110 | 214 | 8372 | 1917 | 49.3964 | 7.023 | 2020-11-17 05:25:54 | Saarland, Germany | ||
3169556 | 3169556 | 2020-11-16 | Germany | Sachsen | 34970 | 514 | 20310 | 15227 | 51.1045 | 13.2017 | 2020-11-17 05:25:54 | Sachsen, Germany | ||
3169557 | 3169557 | 2020-11-16 | Germany | Sachsen-Anhalt | 8161 | 105 | 5650 | 2632 | 51.9503 | 11.6923 | 2020-11-17 05:25:54 | Sachsen-Anhalt, Germany | ||
3169558 | 3169558 | 2020-11-16 | Germany | Schleswig-Holstein | 11522 | 222 | 8309 | 3087 | 54.2194 | 9.6961 | 2020-11-17 05:25:54 | Schleswig-Holstein, Germany | ||
3169559 | 3169559 | 2020-11-16 | Germany | Thuringen | 10982 | 254 | 7767 | 3188 | 51.011 | 10.8453 | 2020-11-17 05:25:54 | Thuringen, Germany | ||
3169560 | 3169560 | 2020-11-16 | Germany | Unknown | 746 | 0 | 0 | 746 | 2020-11-17 05:25:54 | Unknown, Germany | ||||
2880112 | 2880112 | 2020-11-15 | Germany | Baden-Wurttemberg | 115670 | 2258 | 73833 | 40898 | 48.6616 | 9.3501 | 2020-11-16 05:25:57 | Baden-Wurttemberg, Germany | ||
2880113 | 2880113 | 2020-11-15 | Germany | Bayern | 156421 | 3133 | 104056 | 51649 | 48.7904 | 11.4979 | 2020-11-16 05:25:57 | Bayern, Germany | ||
2880114 | 2880114 | 2020-11-15 | Germany | Berlin | 47265 | 358 | 29700 | 17634 | 52.52 | 13.405 | 2020-11-16 05:25:57 | Berlin, Germany | ||
2880115 | 2880115 | 2020-11-15 | Germany | Brandenburg | 12636 | 238 | 9541 | 3917 | 52.4125 | 12.5316 | 2020-11-16 05:25:57 | Brandenburg, Germany | ||
2880116 | 2880116 | 2020-11-15 | Germany | Bremen | 8153 | 94 | 5561 | 2645 | 53.0793 | 8.8017 | 2020-11-16 05:25:57 | Bremen, Germany | ||
2880117 | 2880117 | 2020-11-15 | Germany | Hamburg | 19977 | 311 | 11400 | 8508 | 53.5511 | 9.9937 | 2020-11-16 05:25:57 | Hamburg, Germany | ||
2880118 | 2880118 | 2020-11-15 | Germany | Hessen | 64393 | 864 | 38465 | 26141 | 50.6521 | 9.1624 | 2020-11-16 05:25:57 | Hessen, Germany | ||
2880119 | 2880119 | 2020-11-15 | Germany | Mecklenburg-Vorpommern | 4397 | 38 | 2991 | 1406 | 53.6127 | 12.4296 | 2020-11-16 05:25:57 | Mecklenburg-Vorpommern, Germany | ||
2880120 | 2880120 | 2020-11-15 | Germany | Niedersachsen | 55325 | 903 | 38274 | 16255 | 52.6367 | 9.8451 | 2020-11-16 05:25:57 | Niedersachsen, Germany | ||
2880121 | 2880121 | 2020-11-15 | Germany | Nordrhein-Westfalen | 200063 | 2623 | 128399 | 71781 | 51.4332 | 7.6616 | 2020-11-16 05:25:57 | Nordrhein-Westfalen, Germany | ||
2880122 | 2880122 | 2020-11-15 | Germany | Rheinland-Pfalz | 32013 | 362 | 18602 | 13598 | 50.1183 | 7.309 | 2020-11-16 05:25:57 | Rheinland-Pfalz, Germany | ||
2880123 | 2880123 | 2020-11-15 | Germany | Saarland | 10110 | 214 | 7902 | 2340 | 49.3964 | 7.023 | 2020-11-16 05:25:57 | Saarland, Germany | ||
2880124 | 2880124 | 2020-11-15 | Germany | Sachsen | 33924 | 511 | 15843 | 18613 | 51.1045 | 13.2017 | 2020-11-16 05:25:57 | Sachsen, Germany | ||
2880125 | 2880125 | 2020-11-15 | Germany | Sachsen-Anhalt | 8040 | 105 | 5471 | 2590 | 51.9503 | 11.6923 | 2020-11-16 05:25:57 | Sachsen-Anhalt, Germany | ||
2880126 | 2880126 | 2020-11-15 | Germany | Schleswig-Holstein | 11361 | 219 | 8120 | 3180 | 54.2194 | 9.6961 | 2020-11-16 05:25:57 | Schleswig-Holstein, 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]);