johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
52 rows where deaths = 3501 sorted by day descending
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These facets timed out: province_or_state
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
63287 | 63287 | 2022-11-12 | Russia | Leningrad Oblast | 236740 | 3501 | 0 | 60.1853296 | 32.3925325 | 2022-11-13 04:21:14 | Leningrad Oblast, Russia | |||
2262761 | 2262761 | 2022-10-02 | US | Tennessee | Shelby | 47157 | 274124 | 3501 | 0 | 35.1864775 | -89.89692423 | 2022-10-03 04:23:11 | Shelby, Tennessee, US | |
2998287 | 2998287 | 2022-10-01 | US | Tennessee | Shelby | 47157 | 274067 | 3501 | 0 | 35.1864775 | -89.89692423 | 2022-10-02 04:21:23 | Shelby, Tennessee, US | |
856613 | 856613 | 2022-09-30 | US | Tennessee | Shelby | 47157 | 274027 | 3501 | 0 | 35.1864775 | -89.89692423 | 2022-10-01 04:23:01 | Shelby, Tennessee, US | |
1978589 | 1978589 | 2022-09-25 | US | Missouri | St. Louis | 29189 | 270336 | 3501 | 0 | 38.6377004 | -90.4458375 | 2022-09-26 04:20:52 | St. Louis, Missouri, US | |
2651756 | 2651756 | 2022-09-24 | US | Missouri | St. Louis | 29189 | 270336 | 3501 | 0 | 38.6377004 | -90.4458375 | 2022-09-25 04:23:31 | St. Louis, Missouri, US | |
386196 | 386196 | 2022-09-23 | US | Missouri | St. Louis | 29189 | 270336 | 3501 | 0 | 38.6377004 | -90.4458375 | 2022-09-24 04:21:40 | St. Louis, Missouri, US | |
1626262 | 1626262 | 2022-09-22 | US | Missouri | St. Louis | 29189 | 270174 | 3501 | 0 | 38.6377004 | -90.4458375 | 2022-09-23 04:23:13 | St. Louis, Missouri, US | |
117399 | 117399 | 2022-09-06 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-07 04:20:59 | Allegheny, Pennsylvania, US | |
2636371 | 2636371 | 2022-09-05 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-06 04:21:02 | Allegheny, Pennsylvania, US | |
2989935 | 2989935 | 2022-09-04 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-05 04:21:01 | Allegheny, Pennsylvania, US | |
2715620 | 2715620 | 2022-09-03 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-04 04:21:22 | Allegheny, Pennsylvania, US | |
1396325 | 1396325 | 2022-09-02 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-03 04:21:04 | Allegheny, Pennsylvania, US | |
3550154 | 3550154 | 2022-09-01 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-02 04:21:07 | Allegheny, Pennsylvania, US | |
2346074 | 2346074 | 2022-08-31 | US | Pennsylvania | Allegheny | 42003 | 311556 | 3501 | 0 | 40.46809875 | -79.98167747 | 2022-09-01 04:21:03 | Allegheny, Pennsylvania, US | |
1070156 | 1070156 | 2022-08-07 | Russia | Vladimir Oblast | 153200 | 3501 | 0 | 56.0503336 | 40.6561633 | 2022-08-08 04:21:08 | Vladimir Oblast, Russia | |||
1940744 | 1940744 | 2022-08-06 | Russia | Vladimir Oblast | 153136 | 3501 | 0 | 56.0503336 | 40.6561633 | 2022-08-07 04:20:54 | Vladimir Oblast, Russia | |||
880543 | 880543 | 2022-08-05 | Russia | Vladimir Oblast | 153070 | 3501 | 0 | 56.0503336 | 40.6561633 | 2022-08-06 04:20:56 | Vladimir Oblast, Russia | |||
3365001 | 3365001 | 2022-07-02 | Albania | 282141 | 3501 | 0 | 41.1533 | 20.1683 | 2022-07-03 04:20:59 | Albania | ||||
593330 | 593330 | 2022-07-01 | Albania | 281470 | 3501 | 0 | 41.1533 | 20.1683 | 2022-07-02 04:21:16 | Albania | ||||
560973 | 560973 | 2022-06-16 | US | New Jersey | Bergen | 34003 | 255580 | 3501 | 0 | 40.96010917 | -74.07164325 | 2022-06-17 04:20:56 | Bergen, New Jersey, US | |
2331457 | 2331457 | 2022-05-08 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-09 04:20:54 | Aguascalientes, Mexico | |||
360419 | 360419 | 2022-05-07 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-08 04:20:49 | Aguascalientes, Mexico | |||
1397770 | 1397770 | 2022-05-06 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-07 04:21:09 | Aguascalientes, Mexico | |||
2598125 | 2598125 | 2022-05-05 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-06 04:21:00 | Aguascalientes, Mexico | |||
3265574 | 3265574 | 2022-05-04 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-05 04:20:55 | Aguascalientes, Mexico | |||
1572213 | 1572213 | 2022-05-03 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-04 04:20:59 | Aguascalientes, Mexico | |||
463473 | 463473 | 2022-05-02 | Mexico | Aguascalientes | 65866 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-03 04:21:00 | Aguascalientes, Mexico | |||
3916112 | 3916112 | 2022-05-01 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-02 04:21:10 | Aguascalientes, Mexico | |||
2840916 | 2840916 | 2022-04-30 | Mexico | Aguascalientes | 65865 | 3501 | 0 | 21.8853 | -102.2916 | 2022-05-01 04:20:57 | Aguascalientes, Mexico | |||
3721825 | 3721825 | 2022-02-21 | Ukraine | Mykolaiv Oblast | 142639 | 3501 | 0 | 46.975 | 31.9946 | 2022-02-22 04:21:01 | Mykolaiv Oblast, Ukraine | |||
3879228 | 3879228 | 2022-02-19 | Ukraine | Zhytomyr Oblast | 189003 | 3501 | 0 | 50.2547 | 28.6587 | 2022-02-20 04:21:00 | Zhytomyr Oblast, Ukraine | |||
1464426 | 1464426 | 2022-02-10 | Trinidad and Tobago | 118263 | 3501 | 0 | 10.6918 | -61.2225 | 2022-02-11 04:21:09 | Trinidad and Tobago | ||||
1364523 | 1364523 | 2022-02-08 | US | New Jersey | Essex | 34013 | 206534 | 3501 | 0 | 40.78681335 | -74.24657979 | 2022-02-09 04:21:04 | Essex, New Jersey, US | |
3227504 | 3227504 | 2022-01-19 | US | Illinois | Unassigned | 90017 | 282 | 3501 | 0 | 42.36542373 | 0.0 | 2022-01-20 04:21:07 | Unassigned, Illinois, US | |
554625 | 554625 | 2022-01-16 | Colombia | Magdalena | 105870 | 3501 | 0 | 10.4113 | -74.4057 | 2022-01-17 04:21:08 | Magdalena, Colombia | |||
2844636 | 2844636 | 2021-11-10 | Chile | Valparaiso | 128699 | 3501 | 0 | -33.0472 | -71.6127 | 2021-11-11 04:21:45 | Valparaiso, Chile | |||
86906 | 86906 | 2021-11-09 | Chile | Valparaiso | 128443 | 3501 | 0 | -33.0472 | -71.6127 | 2021-11-10 04:21:38 | Valparaiso, Chile | |||
3639334 | 3639334 | 2021-11-08 | Chile | Valparaiso | 128276 | 3501 | 0 | -33.0472 | -71.6127 | 2021-11-09 04:21:36 | Valparaiso, Chile | |||
2299077 | 2299077 | 2021-06-24 | Ukraine | Kharkiv Oblast | 148377 | 3501 | 143579 | 1297 | 49.9935 | 36.2304 | 2021-06-25 04:21:33 | Kharkiv Oblast, Ukraine | ||
3970721 | 3970721 | 2021-06-11 | Peru | Puno | 33388 | 3501 | 0 | 29887 | -14.995826999999998 | -69.922726 | 2021-06-12 04:22:22 | Puno, Peru | ||
1427790 | 1427790 | 2021-05-09 | US | Pennsylvania | Philadelphia | 42101 | 151461 | 3501 | 0 | 40.00338507 | -75.1379271 | 2021-05-10 04:20:38 | Philadelphia, Pennsylvania, US | |
1554658 | 1554658 | 2021-05-08 | US | Pennsylvania | Philadelphia | 42101 | 151298 | 3501 | 0 | 40.00338507 | -75.1379271 | 2021-05-09 04:20:35 | Philadelphia, Pennsylvania, US | |
2504716 | 2504716 | 2021-05-07 | US | Pennsylvania | Philadelphia | 42101 | 151044 | 3501 | 0 | 40.00338507 | -75.1379271 | 2021-05-08 04:21:04 | Philadelphia, Pennsylvania, US | |
3116172 | 3116172 | 2021-05-06 | US | Pennsylvania | Philadelphia | 42101 | 150717 | 3501 | 0 | 40.00338507 | -75.1379271 | 2021-05-07 04:20:40 | Philadelphia, Pennsylvania, US | |
36352 | 36352 | 2021-04-12 | Germany | Thuringen | 102703 | 3501 | 90270 | 9301 | 51.011 | 10.8453 | 2021-04-13 04:20:37 | Thuringen, Germany | ||
637677 | 637677 | 2021-03-31 | Brazil | Sergipe | 174600 | 3501 | 158658 | 12441 | -10.5741 | -37.3857 | 2021-04-01 04:27:05 | Sergipe, Brazil | ||
923680 | 923680 | 2020-11-26 | Italy | Veneto | 134056 | 3501 | 55403 | 75152 | 45.43490485 | 12.33845213 | 2020-11-27 05:26:53 | Veneto, Italy | ||
1350477 | 1350477 | 2020-11-24 | Peru | Ica | 30771 | 3501 | 0 | 27270 | -14.235097 | -75.574821 | 2020-11-25 05:27:20 | Ica, Peru | ||
787082 | 787082 | 2020-10-15 | US | Florida | Miami-Dade | 12086 | 176809 | 3501 | 0 | 173308 | 25.6112362 | -80.55170587 | 2020-10-16 04:24:01 | Miami-Dade, Florida, US |
3389352 | 3389352 | 2020-10-02 | India | Punjab | 116213 | 3501 | 97777 | 14935 | 30.841465000000003 | 75.40879 | 2020-10-03 04:23:40 | Punjab, India | ||
2059633 | 2059633 | 2020-09-01 | Brazil | Rio Grande do Sul | 127799 | 3501 | 115363 | 8935 | -30.0346 | -51.2177 | 2020-09-02 04:28:25 | Rio Grande do Sul, Brazil |
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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]);