johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
588 rows where deaths = 577 sorted by day descending
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These facets timed out: province_or_state, country_or_region
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1628943 | 1628943 | 2022-12-18 | US | Colorado | Larimer | 8069 | 105580 | 577 | 0 | 40.66671597 | -105.4625784 | 2022-12-19 04:21:03 | Larimer, Colorado, US | |
504322 | 504322 | 2022-12-17 | US | Colorado | Larimer | 8069 | 105580 | 577 | 0 | 40.66671597 | -105.4625784 | 2022-12-18 04:21:03 | Larimer, Colorado, US | |
3324894 | 3324894 | 2022-12-16 | US | Colorado | Larimer | 8069 | 105580 | 577 | 0 | 40.66671597 | -105.4625784 | 2022-12-17 04:21:04 | Larimer, Colorado, US | |
543406 | 543406 | 2022-12-15 | US | Colorado | Larimer | 8069 | 105484 | 577 | 0 | 40.66671597 | -105.4625784 | 2022-12-16 04:21:01 | Larimer, Colorado, US | |
348934 | 348934 | 2022-12-14 | US | Colorado | Larimer | 8069 | 105403 | 577 | 0 | 40.66671597 | -105.4625784 | 2022-12-15 04:20:58 | Larimer, Colorado, US | |
308522 | 308522 | 2022-12-13 | US | Colorado | Larimer | 8069 | 105296 | 577 | 0 | 40.66671597 | -105.4625784 | 2022-12-14 04:21:04 | Larimer, Colorado, US | |
1151173 | 1151173 | 2022-12-12 | US | New York | Broome | 36007 | 56782 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-13 04:21:01 | Broome, New York, US | |
1150530 | 1150530 | 2022-12-12 | US | Maryland | Frederick | 24021 | 55882 | 577 | 0 | 39.47296601 | -77.39999394 | 2022-12-13 04:21:01 | Frederick, Maryland, US | |
871027 | 871027 | 2022-12-11 | US | New York | Broome | 36007 | 56766 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-12 04:21:01 | Broome, New York, US | |
870384 | 870384 | 2022-12-11 | US | Maryland | Frederick | 24021 | 55845 | 577 | 0 | 39.47296601 | -77.39999394 | 2022-12-12 04:21:01 | Frederick, Maryland, US | |
868807 | 868807 | 2022-12-11 | Japan | Miyagi | 399034 | 577 | 0 | 38.446859 | 140.927086 | 2022-12-12 04:21:01 | Miyagi, Japan | |||
259557 | 259557 | 2022-12-10 | US | New York | Broome | 36007 | 56736 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-11 04:20:50 | Broome, New York, US | |
258914 | 258914 | 2022-12-10 | US | Maryland | Frederick | 24021 | 55845 | 577 | 0 | 39.47296601 | -77.39999394 | 2022-12-11 04:20:50 | Frederick, Maryland, US | |
3938271 | 3938271 | 2022-12-09 | US | New York | Broome | 36007 | 56711 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-10 04:21:02 | Broome, New York, US | |
3937628 | 3937628 | 2022-12-09 | US | Maryland | Frederick | 24021 | 55845 | 577 | 0 | 39.47296601 | -77.39999394 | 2022-12-10 04:21:02 | Frederick, Maryland, US | |
3379603 | 3379603 | 2022-12-08 | US | New York | Broome | 36007 | 56673 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-09 04:21:05 | Broome, New York, US | |
3378960 | 3378960 | 2022-12-08 | US | Maryland | Frederick | 24021 | 55815 | 577 | 0 | 39.47296601 | -77.39999394 | 2022-12-09 04:21:05 | Frederick, Maryland, US | |
1986874 | 1986874 | 2022-12-07 | US | New York | Broome | 36007 | 56643 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-08 04:21:07 | Broome, New York, US | |
3716397 | 3716397 | 2022-12-06 | US | New York | Broome | 36007 | 56605 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-07 04:20:58 | Broome, New York, US | |
2417102 | 2417102 | 2022-12-05 | US | New York | Broome | 36007 | 56585 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-06 04:21:03 | Broome, New York, US | |
720710 | 720710 | 2022-12-04 | US | New York | Broome | 36007 | 56570 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-05 04:20:58 | Broome, New York, US | |
2818999 | 2818999 | 2022-12-03 | US | New York | Broome | 36007 | 56538 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-04 04:20:56 | Broome, New York, US | |
835855 | 835855 | 2022-12-02 | US | New York | Broome | 36007 | 56502 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-03 04:21:02 | Broome, New York, US | |
2138385 | 2138385 | 2022-12-01 | US | New York | Broome | 36007 | 56456 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-02 04:21:07 | Broome, New York, US | |
1966801 | 1966801 | 2022-11-30 | US | New York | Broome | 36007 | 56384 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-12-01 04:21:03 | Broome, New York, US | |
2558815 | 2558815 | 2022-11-29 | US | New York | Broome | 36007 | 56360 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-30 04:21:07 | Broome, New York, US | |
2556594 | 2556594 | 2022-11-29 | Japan | Mie | 298259 | 577 | 0 | 34.508018 | 136.376013 | 2022-11-30 04:21:07 | Mie, Japan | |||
1241889 | 1241889 | 2022-11-28 | US | New York | Broome | 36007 | 56335 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-29 04:21:05 | Broome, New York, US | |
1239668 | 1239668 | 2022-11-28 | Japan | Mie | 297692 | 577 | 0 | 34.508018 | 136.376013 | 2022-11-29 04:21:05 | Mie, Japan | |||
3553877 | 3553877 | 2022-11-27 | US | New York | Broome | 36007 | 56319 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-28 04:21:02 | Broome, New York, US | |
2102357 | 2102357 | 2022-11-26 | US | New York | Broome | 36007 | 56292 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-27 04:21:05 | Broome, New York, US | |
489848 | 489848 | 2022-11-25 | US | New York | Broome | 36007 | 56281 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-26 04:21:11 | Broome, New York, US | |
3525677 | 3525677 | 2022-11-24 | US | New York | Broome | 36007 | 56262 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-25 04:21:06 | Broome, New York, US | |
3314460 | 3314460 | 2022-11-23 | US | New York | Broome | 36007 | 56238 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-24 04:21:09 | Broome, New York, US | |
1622639 | 1622639 | 2022-11-22 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-23 04:21:06 | Robeson, North Carolina, US | |
1622501 | 1622501 | 2022-11-22 | US | New York | Broome | 36007 | 56211 | 577 | 0 | 42.15903158 | -75.81326086 | 2022-11-23 04:21:06 | Broome, New York, US | |
3462527 | 3462527 | 2022-11-21 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-22 04:20:47 | Robeson, North Carolina, US | |
1642712 | 1642712 | 2022-11-20 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-21 04:21:05 | Robeson, North Carolina, US | |
2066269 | 2066269 | 2022-11-19 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-20 04:21:08 | Robeson, North Carolina, US | |
1757663 | 1757663 | 2022-11-18 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-19 04:21:14 | Robeson, North Carolina, US | |
3028656 | 3028656 | 2022-11-17 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-18 04:21:15 | Robeson, North Carolina, US | |
2488367 | 2488367 | 2022-11-16 | US | North Carolina | Robeson | 37155 | 49251 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-17 04:21:11 | Robeson, North Carolina, US | |
294378 | 294378 | 2022-11-15 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-16 04:21:09 | Robeson, North Carolina, US | |
3599408 | 3599408 | 2022-11-14 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-15 04:21:16 | Robeson, North Carolina, US | |
3599267 | 3599267 | 2022-11-14 | US | New York | Albany | 36001 | 75234 | 577 | 0 | 42.60060306 | -73.97723916 | 2022-11-15 04:21:16 | Albany, New York, US | |
314266 | 314266 | 2022-11-13 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-14 04:21:09 | Robeson, North Carolina, US | |
65427 | 65427 | 2022-11-12 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-13 04:21:14 | Robeson, North Carolina, US | |
2929589 | 2929589 | 2022-11-11 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-12 04:20:41 | Robeson, North Carolina, US | |
2508425 | 2508425 | 2022-11-10 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-11 04:21:22 | Robeson, North Carolina, US | |
2433300 | 2433300 | 2022-11-09 | US | North Carolina | Robeson | 37155 | 49175 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-10 04:21:16 | Robeson, North Carolina, US | |
481956 | 481956 | 2022-11-08 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-09 04:21:22 | Robeson, North Carolina, US | |
2441106 | 2441106 | 2022-11-07 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-08 04:21:21 | Robeson, North Carolina, US | |
1052204 | 1052204 | 2022-11-06 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-07 04:21:26 | Robeson, North Carolina, US | |
620228 | 620228 | 2022-11-05 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-06 04:21:24 | Robeson, North Carolina, US | |
1024732 | 1024732 | 2022-11-04 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-05 04:21:52 | Robeson, North Carolina, US | |
433723 | 433723 | 2022-11-03 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-04 04:22:11 | Robeson, North Carolina, US | |
851965 | 851965 | 2022-11-02 | US | North Carolina | Robeson | 37155 | 48988 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-03 04:22:05 | Robeson, North Carolina, US | |
712816 | 712816 | 2022-11-01 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-02 04:22:09 | Robeson, North Carolina, US | |
3287265 | 3287265 | 2022-10-31 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-11-01 04:22:36 | Robeson, North Carolina, US | |
322298 | 322298 | 2022-10-30 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-10-31 04:21:36 | Robeson, North Carolina, US | |
914574 | 914574 | 2022-10-29 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-10-30 04:22:14 | Robeson, North Carolina, US | |
1368843 | 1368843 | 2022-10-28 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-10-29 04:21:13 | Robeson, North Carolina, US | |
3040698 | 3040698 | 2022-10-27 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-10-28 04:22:31 | Robeson, North Carolina, US | |
541118 | 541118 | 2022-10-26 | US | North Carolina | Robeson | 37155 | 48873 | 577 | 0 | 34.64244496 | -79.1025053 | 2022-10-27 04:22:01 | Robeson, North Carolina, US | |
200030 | 200030 | 2022-10-19 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-20 04:22:59 | St. Louis, Minnesota, US | |
2760462 | 2760462 | 2022-10-18 | US | Wisconsin | Dane | 55025 | 167483 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-10-19 04:22:26 | Dane, Wisconsin, US | |
2758691 | 2758691 | 2022-10-18 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-19 04:22:26 | St. Louis, Minnesota, US | |
2028296 | 2028296 | 2022-10-17 | US | Wisconsin | Dane | 55025 | 167408 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-10-18 04:22:42 | Dane, Wisconsin, US | |
2026525 | 2026525 | 2022-10-17 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-18 04:22:42 | St. Louis, Minnesota, US | |
2161303 | 2161303 | 2022-10-16 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-17 04:20:31 | St. Louis, Minnesota, US | |
517500 | 517500 | 2022-10-15 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-16 04:22:39 | St. Louis, Minnesota, US | |
2034557 | 2034557 | 2022-10-14 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-15 04:22:00 | St. Louis, Minnesota, US | |
3755245 | 3755245 | 2022-10-13 | US | Minnesota | St. Louis | 27137 | 56641 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-14 04:22:28 | St. Louis, Minnesota, US | |
3216070 | 3216070 | 2022-10-12 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-13 04:22:39 | St. Louis, Minnesota, US | |
3251919 | 3251919 | 2022-10-11 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-12 04:22:51 | St. Louis, Minnesota, US | |
2969178 | 2969178 | 2022-10-10 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-11 04:23:05 | St. Louis, Minnesota, US | |
3099214 | 3099214 | 2022-10-09 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-10 04:22:32 | St. Louis, Minnesota, US | |
4004439 | 4004439 | 2022-10-08 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-09 04:21:16 | St. Louis, Minnesota, US | |
398036 | 398036 | 2022-10-07 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-08 04:22:56 | St. Louis, Minnesota, US | |
2531153 | 2531153 | 2022-10-06 | US | Minnesota | St. Louis | 27137 | 56374 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-07 04:23:08 | St. Louis, Minnesota, US | |
1812547 | 1812547 | 2022-10-05 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-06 04:21:22 | St. Louis, Minnesota, US | |
132521 | 132521 | 2022-10-04 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-05 04:23:06 | St. Louis, Minnesota, US | |
2689239 | 2689239 | 2022-10-03 | US | Wisconsin | Dane | 55025 | 165917 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-10-04 04:22:55 | Dane, Wisconsin, US | |
2687468 | 2687468 | 2022-10-03 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-04 04:22:55 | St. Louis, Minnesota, US | |
2263306 | 2263306 | 2022-10-02 | US | Wisconsin | Dane | 55025 | 165628 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-10-03 04:23:11 | Dane, Wisconsin, US | |
2261535 | 2261535 | 2022-10-02 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-03 04:23:11 | St. Louis, Minnesota, US | |
2998832 | 2998832 | 2022-10-01 | US | Wisconsin | Dane | 55025 | 165628 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-10-02 04:21:23 | Dane, Wisconsin, US | |
2997061 | 2997061 | 2022-10-01 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-02 04:21:23 | St. Louis, Minnesota, US | |
857158 | 857158 | 2022-09-30 | US | Wisconsin | Dane | 55025 | 165628 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-10-01 04:23:01 | Dane, Wisconsin, US | |
855387 | 855387 | 2022-09-30 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-10-01 04:23:01 | St. Louis, Minnesota, US | |
2379084 | 2379084 | 2022-09-29 | US | Wisconsin | Dane | 55025 | 165502 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-09-30 04:23:09 | Dane, Wisconsin, US | |
2377313 | 2377313 | 2022-09-29 | US | Minnesota | St. Louis | 27137 | 56057 | 577 | 0 | 47.6048407 | -92.46879855 | 2022-09-30 04:23:09 | St. Louis, Minnesota, US | |
1563635 | 1563635 | 2022-09-28 | US | Wisconsin | Dane | 55025 | 165369 | 577 | 0 | 43.06601594 | -89.41733797 | 2022-09-29 04:22:34 | Dane, Wisconsin, US | |
1624282 | 1624282 | 2022-09-22 | Japan | Gifu | 285260 | 577 | 0 | 35.778671 | 137.055925 | 2022-09-23 04:23:13 | Gifu, Japan | |||
420436 | 420436 | 2022-09-18 | US | Indiana | Hendricks | 18063 | 45119 | 577 | 0 | 39.76719009 | -86.51037283 | 2022-09-19 04:21:49 | Hendricks, Indiana, US | |
3374460 | 3374460 | 2022-09-17 | US | Indiana | Hendricks | 18063 | 45119 | 577 | 0 | 39.76719009 | -86.51037283 | 2022-09-18 04:22:50 | Hendricks, Indiana, US | |
2356568 | 2356568 | 2022-09-16 | US | Indiana | Hendricks | 18063 | 45119 | 577 | 0 | 39.76719009 | -86.51037283 | 2022-09-17 04:20:19 | Hendricks, Indiana, US | |
114756 | 114756 | 2022-09-06 | Japan | Kumamoto | 305773 | 577 | 0 | 32.608154 | 130.745231 | 2022-09-07 04:20:59 | Kumamoto, Japan | |||
2346050 | 2346050 | 2022-08-31 | US | Oregon | Jackson | 41029 | 50105 | 577 | 0 | 42.43201126 | -122.7289309 | 2022-09-01 04:21:03 | Jackson, Oregon, US | |
2325802 | 2325802 | 2022-08-24 | US | Ohio | Clermont | 39025 | 58046 | 577 | 0 | 39.04847534 | -84.15375786 | 2022-08-25 04:21:13 | Clermont, Ohio, US |
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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]);