johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
960 rows where province_or_state = "Berlin" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: confirmed, deaths, day (date), last_update (date)
recovered 411 ✖
- 0 512
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- 178200 1
province_or_state 1
- Berlin · 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2752797 | 2752797 | 2022-12-29 | Germany | Berlin | 1402221 | 5255 | 0 | 52.52 | 13.405 | 2022-12-30 04:21:04 | Berlin, Germany | |||
1073803 | 1073803 | 2022-12-28 | Germany | Berlin | 1398759 | 5243 | 0 | 52.52 | 13.405 | 2022-12-29 04:21:01 | Berlin, Germany | |||
327800 | 327800 | 2022-12-27 | Germany | Berlin | 1395995 | 5236 | 0 | 52.52 | 13.405 | 2022-12-28 04:21:04 | Berlin, Germany | |||
217873 | 217873 | 2022-12-26 | Germany | Berlin | 1394416 | 5229 | 0 | 52.52 | 13.405 | 2022-12-27 04:21:07 | Berlin, Germany | |||
3222330 | 3222330 | 2022-12-25 | Germany | Berlin | 1394416 | 5229 | 0 | 52.52 | 13.405 | 2022-12-26 04:21:06 | Berlin, Germany | |||
1018244 | 1018244 | 2022-12-24 | Germany | Berlin | 1394416 | 5229 | 0 | 52.52 | 13.405 | 2022-12-25 04:21:04 | Berlin, Germany | |||
690267 | 690267 | 2022-12-23 | Germany | Berlin | 1394416 | 5229 | 0 | 52.52 | 13.405 | 2022-12-24 04:21:02 | Berlin, Germany | |||
2179477 | 2179477 | 2022-12-22 | Germany | Berlin | 1392716 | 5223 | 0 | 52.52 | 13.405 | 2022-12-23 04:21:04 | Berlin, Germany | |||
451281 | 451281 | 2022-12-21 | Germany | Berlin | 1390600 | 5215 | 0 | 52.52 | 13.405 | 2022-12-22 04:20:56 | Berlin, Germany | |||
2951280 | 2951280 | 2022-12-20 | Germany | Berlin | 1388019 | 5201 | 0 | 52.52 | 13.405 | 2022-12-21 04:21:03 | Berlin, Germany | |||
3173682 | 3173682 | 2022-12-19 | Germany | Berlin | 1386357 | 5198 | 0 | 52.52 | 13.405 | 2022-12-20 04:21:04 | Berlin, Germany | |||
1628199 | 1628199 | 2022-12-18 | Germany | Berlin | 1384571 | 5193 | 0 | 52.52 | 13.405 | 2022-12-19 04:21:03 | Berlin, Germany | |||
503578 | 503578 | 2022-12-17 | Germany | Berlin | 1384571 | 5193 | 0 | 52.52 | 13.405 | 2022-12-18 04:21:03 | Berlin, Germany | |||
3324150 | 3324150 | 2022-12-16 | Germany | Berlin | 1384571 | 5193 | 0 | 52.52 | 13.405 | 2022-12-17 04:21:04 | Berlin, Germany | |||
542662 | 542662 | 2022-12-15 | Germany | Berlin | 1382133 | 5182 | 0 | 52.52 | 13.405 | 2022-12-16 04:21:01 | Berlin, Germany | |||
348190 | 348190 | 2022-12-14 | Germany | Berlin | 1379749 | 5173 | 0 | 52.52 | 13.405 | 2022-12-15 04:20:58 | Berlin, Germany | |||
307778 | 307778 | 2022-12-13 | Germany | Berlin | 1377809 | 5176 | 0 | 52.52 | 13.405 | 2022-12-14 04:21:04 | Berlin, Germany | |||
1148839 | 1148839 | 2022-12-12 | Germany | Berlin | 1375310 | 5178 | 0 | 52.52 | 13.405 | 2022-12-13 04:21:01 | Berlin, Germany | |||
868693 | 868693 | 2022-12-11 | Germany | Berlin | 1373849 | 5174 | 0 | 52.52 | 13.405 | 2022-12-12 04:21:01 | Berlin, Germany | |||
257223 | 257223 | 2022-12-10 | Germany | Berlin | 1373849 | 5174 | 0 | 52.52 | 13.405 | 2022-12-11 04:20:50 | Berlin, Germany | |||
3935937 | 3935937 | 2022-12-09 | Germany | Berlin | 1373849 | 5174 | 0 | 52.52 | 13.405 | 2022-12-10 04:21:02 | Berlin, Germany | |||
3377269 | 3377269 | 2022-12-08 | Germany | Berlin | 1372334 | 5165 | 0 | 52.52 | 13.405 | 2022-12-09 04:21:05 | Berlin, Germany | |||
1984540 | 1984540 | 2022-12-07 | Germany | Berlin | 1370310 | 5161 | 0 | 52.52 | 13.405 | 2022-12-08 04:21:07 | Berlin, Germany | |||
3714063 | 3714063 | 2022-12-06 | Germany | Berlin | 1368148 | 5155 | 0 | 52.52 | 13.405 | 2022-12-07 04:20:58 | Berlin, Germany | |||
2414768 | 2414768 | 2022-12-05 | Germany | Berlin | 1366214 | 5148 | 0 | 52.52 | 13.405 | 2022-12-06 04:21:03 | Berlin, Germany | |||
718376 | 718376 | 2022-12-04 | Germany | Berlin | 1364779 | 5145 | 0 | 52.52 | 13.405 | 2022-12-05 04:20:58 | Berlin, Germany | |||
2816665 | 2816665 | 2022-12-03 | Germany | Berlin | 1364779 | 5145 | 0 | 52.52 | 13.405 | 2022-12-04 04:20:56 | Berlin, Germany | |||
833521 | 833521 | 2022-12-02 | Germany | Berlin | 1364779 | 5145 | 0 | 52.52 | 13.405 | 2022-12-03 04:21:02 | Berlin, Germany | |||
2136051 | 2136051 | 2022-12-01 | Germany | Berlin | 1363255 | 5144 | 0 | 52.52 | 13.405 | 2022-12-02 04:21:07 | Berlin, Germany | |||
1964467 | 1964467 | 2022-11-30 | Germany | Berlin | 1361635 | 5139 | 0 | 52.52 | 13.405 | 2022-12-01 04:21:03 | Berlin, Germany | |||
2556481 | 2556481 | 2022-11-29 | Germany | Berlin | 1359664 | 5135 | 0 | 52.52 | 13.405 | 2022-11-30 04:21:07 | Berlin, Germany | |||
1239555 | 1239555 | 2022-11-28 | Germany | Berlin | 1357597 | 5130 | 0 | 52.52 | 13.405 | 2022-11-29 04:21:05 | Berlin, Germany | |||
3551543 | 3551543 | 2022-11-27 | Germany | Berlin | 1356358 | 5123 | 0 | 52.52 | 13.405 | 2022-11-28 04:21:02 | Berlin, Germany | |||
2100023 | 2100023 | 2022-11-26 | Germany | Berlin | 1356358 | 5123 | 0 | 52.52 | 13.405 | 2022-11-27 04:21:05 | Berlin, Germany | |||
487514 | 487514 | 2022-11-25 | Germany | Berlin | 1356358 | 5123 | 0 | 52.52 | 13.405 | 2022-11-26 04:21:11 | Berlin, Germany | |||
3523343 | 3523343 | 2022-11-24 | Germany | Berlin | 1355360 | 5105 | 0 | 52.52 | 13.405 | 2022-11-25 04:21:06 | Berlin, Germany | |||
3312126 | 3312126 | 2022-11-23 | Germany | Berlin | 1354005 | 5098 | 0 | 52.52 | 13.405 | 2022-11-24 04:21:09 | Berlin, Germany | |||
1620167 | 1620167 | 2022-11-22 | Germany | Berlin | 1352692 | 5089 | 0 | 52.52 | 13.405 | 2022-11-23 04:21:06 | Berlin, Germany | |||
3460055 | 3460055 | 2022-11-21 | Germany | Berlin | 1351312 | 5080 | 0 | 52.52 | 13.405 | 2022-11-22 04:20:47 | Berlin, Germany | |||
1640240 | 1640240 | 2022-11-20 | Germany | Berlin | 1350249 | 5071 | 0 | 52.52 | 13.405 | 2022-11-21 04:21:05 | Berlin, Germany | |||
2063797 | 2063797 | 2022-11-19 | Germany | Berlin | 1350249 | 5071 | 0 | 52.52 | 13.405 | 2022-11-20 04:21:08 | Berlin, Germany | |||
1755191 | 1755191 | 2022-11-18 | Germany | Berlin | 1350249 | 5071 | 0 | 52.52 | 13.405 | 2022-11-19 04:21:14 | Berlin, Germany | |||
3026184 | 3026184 | 2022-11-17 | Germany | Berlin | 1348756 | 5040 | 0 | 52.52 | 13.405 | 2022-11-18 04:21:15 | Berlin, Germany | |||
2485895 | 2485895 | 2022-11-16 | Germany | Berlin | 1347753 | 5038 | 0 | 52.52 | 13.405 | 2022-11-17 04:21:11 | Berlin, Germany | |||
291906 | 291906 | 2022-11-15 | Germany | Berlin | 1346575 | 5029 | 0 | 52.52 | 13.405 | 2022-11-16 04:21:09 | Berlin, Germany | |||
3596936 | 3596936 | 2022-11-14 | Germany | Berlin | 1344987 | 5024 | 0 | 52.52 | 13.405 | 2022-11-15 04:21:16 | Berlin, Germany | |||
311794 | 311794 | 2022-11-13 | Germany | Berlin | 1343940 | 5017 | 0 | 52.52 | 13.405 | 2022-11-14 04:21:09 | Berlin, Germany | |||
62955 | 62955 | 2022-11-12 | Germany | Berlin | 1343940 | 5017 | 0 | 52.52 | 13.405 | 2022-11-13 04:21:14 | Berlin, Germany | |||
2927117 | 2927117 | 2022-11-11 | Germany | Berlin | 1343940 | 5017 | 0 | 52.52 | 13.405 | 2022-11-12 04:20:41 | Berlin, Germany | |||
2505953 | 2505953 | 2022-11-10 | Germany | Berlin | 1342787 | 5007 | 0 | 52.52 | 13.405 | 2022-11-11 04:21:22 | Berlin, Germany | |||
2430828 | 2430828 | 2022-11-09 | Germany | Berlin | 1341392 | 4990 | 0 | 52.52 | 13.405 | 2022-11-10 04:21:16 | Berlin, Germany | |||
479484 | 479484 | 2022-11-08 | Germany | Berlin | 1339827 | 4978 | 0 | 52.52 | 13.405 | 2022-11-09 04:21:22 | Berlin, Germany | |||
2438634 | 2438634 | 2022-11-07 | Germany | Berlin | 1337815 | 4970 | 0 | 52.52 | 13.405 | 2022-11-08 04:21:21 | Berlin, Germany | |||
1049732 | 1049732 | 2022-11-06 | Germany | Berlin | 1336751 | 4965 | 0 | 52.52 | 13.405 | 2022-11-07 04:21:26 | Berlin, Germany | |||
617756 | 617756 | 2022-11-05 | Germany | Berlin | 1336751 | 4965 | 0 | 52.52 | 13.405 | 2022-11-06 04:21:24 | Berlin, Germany | |||
1022260 | 1022260 | 2022-11-04 | Germany | Berlin | 1336751 | 4965 | 0 | 52.52 | 13.405 | 2022-11-05 04:21:52 | Berlin, Germany | |||
431251 | 431251 | 2022-11-03 | Germany | Berlin | 1335341 | 4960 | 0 | 52.52 | 13.405 | 2022-11-04 04:22:11 | Berlin, Germany | |||
849493 | 849493 | 2022-11-02 | Germany | Berlin | 1333828 | 4952 | 0 | 52.52 | 13.405 | 2022-11-03 04:22:05 | Berlin, Germany | |||
710344 | 710344 | 2022-11-01 | Germany | Berlin | 1331722 | 4941 | 0 | 52.52 | 13.405 | 2022-11-02 04:22:09 | Berlin, Germany | |||
3284793 | 3284793 | 2022-10-31 | Germany | Berlin | 1329189 | 4927 | 0 | 52.52 | 13.405 | 2022-11-01 04:22:36 | Berlin, Germany | |||
319826 | 319826 | 2022-10-30 | Germany | Berlin | 1327644 | 4922 | 0 | 52.52 | 13.405 | 2022-10-31 04:21:36 | Berlin, Germany | |||
912102 | 912102 | 2022-10-29 | Germany | Berlin | 1327644 | 4922 | 0 | 52.52 | 13.405 | 2022-10-30 04:22:14 | Berlin, Germany | |||
1366371 | 1366371 | 2022-10-28 | Germany | Berlin | 1327644 | 4922 | 0 | 52.52 | 13.405 | 2022-10-29 04:21:13 | Berlin, Germany | |||
3038226 | 3038226 | 2022-10-27 | Germany | Berlin | 1324972 | 4915 | 0 | 52.52 | 13.405 | 2022-10-28 04:22:31 | Berlin, Germany | |||
538646 | 538646 | 2022-10-26 | Germany | Berlin | 1322708 | 4910 | 0 | 52.52 | 13.405 | 2022-10-27 04:22:01 | Berlin, Germany | |||
1830047 | 1830047 | 2022-10-25 | Germany | Berlin | 1319155 | 4895 | 0 | 52.52 | 13.405 | 2022-10-26 04:22:19 | Berlin, Germany | |||
794308 | 794308 | 2022-10-24 | Germany | Berlin | 1315521 | 4885 | 0 | 52.52 | 13.405 | 2022-10-25 04:21:53 | Berlin, Germany | |||
3276763 | 3276763 | 2022-10-23 | Germany | Berlin | 1313685 | 4882 | 0 | 52.52 | 13.405 | 2022-10-24 04:22:29 | Berlin, Germany | |||
2267801 | 2267801 | 2022-10-22 | Germany | Berlin | 1313685 | 4882 | 0 | 52.52 | 13.405 | 2022-10-23 04:22:46 | Berlin, Germany | |||
1592101 | 1592101 | 2022-10-21 | Germany | Berlin | 1313685 | 4882 | 0 | 52.52 | 13.405 | 2022-10-22 04:22:53 | Berlin, Germany | |||
2271817 | 2271817 | 2022-10-20 | Germany | Berlin | 1310686 | 4877 | 0 | 52.52 | 13.405 | 2022-10-21 04:22:23 | Berlin, Germany | |||
198152 | 198152 | 2022-10-19 | Germany | Berlin | 1306626 | 4876 | 0 | 52.52 | 13.405 | 2022-10-20 04:22:59 | Berlin, Germany | |||
2756813 | 2756813 | 2022-10-18 | Germany | Berlin | 1302745 | 4868 | 0 | 52.52 | 13.405 | 2022-10-19 04:22:26 | Berlin, Germany | |||
2024647 | 2024647 | 2022-10-17 | Germany | Berlin | 1299441 | 4863 | 0 | 52.52 | 13.405 | 2022-10-18 04:22:42 | Berlin, Germany | |||
2159425 | 2159425 | 2022-10-16 | Germany | Berlin | 1296935 | 4859 | 0 | 52.52 | 13.405 | 2022-10-17 04:20:31 | Berlin, Germany | |||
515622 | 515622 | 2022-10-15 | Germany | Berlin | 1296935 | 4859 | 0 | 52.52 | 13.405 | 2022-10-16 04:22:39 | Berlin, Germany | |||
2032679 | 2032679 | 2022-10-14 | Germany | Berlin | 1296935 | 4859 | 0 | 52.52 | 13.405 | 2022-10-15 04:22:00 | Berlin, Germany | |||
3753367 | 3753367 | 2022-10-13 | Germany | Berlin | 1293794 | 4854 | 0 | 52.52 | 13.405 | 2022-10-14 04:22:28 | Berlin, Germany | |||
3214192 | 3214192 | 2022-10-12 | Germany | Berlin | 1290310 | 4854 | 0 | 52.52 | 13.405 | 2022-10-13 04:22:39 | Berlin, Germany | |||
3250041 | 3250041 | 2022-10-11 | Germany | Berlin | 1285995 | 4849 | 0 | 52.52 | 13.405 | 2022-10-12 04:22:51 | Berlin, Germany | |||
2967300 | 2967300 | 2022-10-10 | Germany | Berlin | 1282102 | 4845 | 0 | 52.52 | 13.405 | 2022-10-11 04:23:05 | Berlin, Germany | |||
3097336 | 3097336 | 2022-10-09 | Germany | Berlin | 1278758 | 4843 | 0 | 52.52 | 13.405 | 2022-10-10 04:22:32 | Berlin, Germany | |||
4002561 | 4002561 | 2022-10-08 | Germany | Berlin | 1278758 | 4843 | 0 | 52.52 | 13.405 | 2022-10-09 04:21:16 | Berlin, Germany | |||
396158 | 396158 | 2022-10-07 | Germany | Berlin | 1278758 | 4843 | 0 | 52.52 | 13.405 | 2022-10-08 04:22:56 | Berlin, Germany | |||
2529275 | 2529275 | 2022-10-06 | Germany | Berlin | 1275592 | 4839 | 0 | 52.52 | 13.405 | 2022-10-07 04:23:08 | Berlin, Germany | |||
1810669 | 1810669 | 2022-10-05 | Germany | Berlin | 1271886 | 4838 | 0 | 52.52 | 13.405 | 2022-10-06 04:21:22 | Berlin, Germany | |||
130643 | 130643 | 2022-10-04 | Germany | Berlin | 1268287 | 4834 | 0 | 52.52 | 13.405 | 2022-10-05 04:23:06 | Berlin, Germany | |||
2685590 | 2685590 | 2022-10-03 | Germany | Berlin | 1265746 | 4830 | 0 | 52.52 | 13.405 | 2022-10-04 04:22:55 | Berlin, Germany | |||
2259657 | 2259657 | 2022-10-02 | Germany | Berlin | 1265746 | 4830 | 0 | 52.52 | 13.405 | 2022-10-03 04:23:11 | Berlin, Germany | |||
2995183 | 2995183 | 2022-10-01 | Germany | Berlin | 1265746 | 4830 | 0 | 52.52 | 13.405 | 2022-10-02 04:21:23 | Berlin, Germany | |||
853509 | 853509 | 2022-09-30 | Germany | Berlin | 1265746 | 4830 | 0 | 52.52 | 13.405 | 2022-10-01 04:23:01 | Berlin, Germany | |||
2375435 | 2375435 | 2022-09-29 | Germany | Berlin | 1264079 | 4827 | 0 | 52.52 | 13.405 | 2022-09-30 04:23:09 | Berlin, Germany | |||
1559986 | 1559986 | 2022-09-28 | Germany | Berlin | 1261895 | 4824 | 0 | 52.52 | 13.405 | 2022-09-29 04:22:34 | Berlin, Germany | |||
3994529 | 3994529 | 2022-09-27 | Germany | Berlin | 1259680 | 4808 | 0 | 52.52 | 13.405 | 2022-09-28 04:23:01 | Berlin, Germany | |||
2768857 | 2768857 | 2022-09-26 | Germany | Berlin | 1257423 | 4807 | 0 | 52.52 | 13.405 | 2022-09-27 04:23:01 | Berlin, Germany | |||
1976510 | 1976510 | 2022-09-25 | Germany | Berlin | 1255626 | 4800 | 0 | 52.52 | 13.405 | 2022-09-26 04:20:52 | Berlin, Germany | |||
2649677 | 2649677 | 2022-09-24 | Germany | Berlin | 1255626 | 4800 | 0 | 52.52 | 13.405 | 2022-09-25 04:23:31 | Berlin, Germany | |||
384117 | 384117 | 2022-09-23 | Germany | Berlin | 1255626 | 4800 | 0 | 52.52 | 13.405 | 2022-09-24 04:21:40 | Berlin, Germany | |||
1624183 | 1624183 | 2022-09-22 | Germany | Berlin | 1254100 | 4799 | 0 | 52.52 | 13.405 | 2022-09-23 04:23:13 | Berlin, Germany | |||
1370387 | 1370387 | 2022-09-21 | Germany | Berlin | 1252496 | 4799 | 0 | 52.52 | 13.405 | 2022-09-22 04:22:56 | Berlin, 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]);