ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
9,352 rows where county = "Douglas" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2499838 | 2499838 | 2022-05-13 | Douglas | Colorado | 8035 | 81400 | 460 |
2500013 | 2500013 | 2022-05-13 | Douglas | Georgia | 13097 | 35159 | 400 |
2500197 | 2500197 | 2022-05-13 | Douglas | Illinois | 17041 | 6609 | 61 |
2500495 | 2500495 | 2022-05-13 | Douglas | Kansas | 20045 | 27394 | 139 |
2500925 | 2500925 | 2022-05-13 | Douglas | Minnesota | 27041 | 11106 | 117 |
2501109 | 2501109 | 2022-05-13 | Douglas | Missouri | 29067 | 2560 | 80 |
2501276 | 2501276 | 2022-05-13 | Douglas | Nebraska | 31055 | 151440 | 1119 |
2501346 | 2501346 | 2022-05-13 | Douglas | Nevada | 32005 | 7410 | 92 |
2501820 | 2501820 | 2022-05-13 | Douglas | Oregon | 41019 | 20020 | 396 |
2502065 | 2502065 | 2022-05-13 | Douglas | South Dakota | 46043 | 684 | 16 |
2502651 | 2502651 | 2022-05-13 | Douglas | Washington | 53017 | 11269 | 70 |
2502753 | 2502753 | 2022-05-13 | Douglas | Wisconsin | 55031 | 11993 | 79 |
2496580 | 2496580 | 2022-05-12 | Douglas | Colorado | 8035 | 81277 | 460 |
2496755 | 2496755 | 2022-05-12 | Douglas | Georgia | 13097 | 35159 | 400 |
2496939 | 2496939 | 2022-05-12 | Douglas | Illinois | 17041 | 6605 | 61 |
2497237 | 2497237 | 2022-05-12 | Douglas | Kansas | 20045 | 27394 | 139 |
2497667 | 2497667 | 2022-05-12 | Douglas | Minnesota | 27041 | 11092 | 116 |
2497851 | 2497851 | 2022-05-12 | Douglas | Missouri | 29067 | 2551 | 80 |
2498018 | 2498018 | 2022-05-12 | Douglas | Nebraska | 31055 | 151312 | 1119 |
2498088 | 2498088 | 2022-05-12 | Douglas | Nevada | 32005 | 7410 | 92 |
2498562 | 2498562 | 2022-05-12 | Douglas | Oregon | 41019 | 19991 | 396 |
2498807 | 2498807 | 2022-05-12 | Douglas | South Dakota | 46043 | 684 | 16 |
2499393 | 2499393 | 2022-05-12 | Douglas | Washington | 53017 | 11246 | 70 |
2499495 | 2499495 | 2022-05-12 | Douglas | Wisconsin | 55031 | 11964 | 79 |
2493322 | 2493322 | 2022-05-11 | Douglas | Colorado | 8035 | 81128 | 459 |
2493497 | 2493497 | 2022-05-11 | Douglas | Georgia | 13097 | 35159 | 400 |
2493681 | 2493681 | 2022-05-11 | Douglas | Illinois | 17041 | 6594 | 61 |
2493979 | 2493979 | 2022-05-11 | Douglas | Kansas | 20045 | 27259 | 139 |
2494409 | 2494409 | 2022-05-11 | Douglas | Minnesota | 27041 | 11076 | 116 |
2494593 | 2494593 | 2022-05-11 | Douglas | Missouri | 29067 | 2551 | 80 |
2494760 | 2494760 | 2022-05-11 | Douglas | Nebraska | 31055 | 151199 | 1114 |
2494830 | 2494830 | 2022-05-11 | Douglas | Nevada | 32005 | 7410 | 92 |
2495304 | 2495304 | 2022-05-11 | Douglas | Oregon | 41019 | 19977 | 393 |
2495549 | 2495549 | 2022-05-11 | Douglas | South Dakota | 46043 | 684 | 16 |
2496135 | 2496135 | 2022-05-11 | Douglas | Washington | 53017 | 11246 | 70 |
2496237 | 2496237 | 2022-05-11 | Douglas | Wisconsin | 55031 | 11930 | 79 |
2490064 | 2490064 | 2022-05-10 | Douglas | Colorado | 8035 | 81050 | 458 |
2490239 | 2490239 | 2022-05-10 | Douglas | Georgia | 13097 | 35060 | 400 |
2490423 | 2490423 | 2022-05-10 | Douglas | Illinois | 17041 | 6587 | 61 |
2490721 | 2490721 | 2022-05-10 | Douglas | Kansas | 20045 | 27259 | 139 |
2491151 | 2491151 | 2022-05-10 | Douglas | Minnesota | 27041 | 11067 | 116 |
2491335 | 2491335 | 2022-05-10 | Douglas | Missouri | 29067 | 2551 | 80 |
2491502 | 2491502 | 2022-05-10 | Douglas | Nebraska | 31055 | 151824 | 1113 |
2491572 | 2491572 | 2022-05-10 | Douglas | Nevada | 32005 | 7369 | 92 |
2492046 | 2492046 | 2022-05-10 | Douglas | Oregon | 41019 | 19950 | 392 |
2492291 | 2492291 | 2022-05-10 | Douglas | South Dakota | 46043 | 684 | 16 |
2492877 | 2492877 | 2022-05-10 | Douglas | Washington | 53017 | 11211 | 70 |
2492979 | 2492979 | 2022-05-10 | Douglas | Wisconsin | 55031 | 11891 | 79 |
2486807 | 2486807 | 2022-05-09 | Douglas | Colorado | 8035 | 80797 | 457 |
2486982 | 2486982 | 2022-05-09 | Douglas | Georgia | 13097 | 35060 | 400 |
2487166 | 2487166 | 2022-05-09 | Douglas | Illinois | 17041 | 6581 | 61 |
2487464 | 2487464 | 2022-05-09 | Douglas | Kansas | 20045 | 27058 | 138 |
2487894 | 2487894 | 2022-05-09 | Douglas | Minnesota | 27041 | 11040 | 116 |
2488077 | 2488077 | 2022-05-09 | Douglas | Missouri | 29067 | 2551 | 80 |
2488244 | 2488244 | 2022-05-09 | Douglas | Nebraska | 31055 | 151824 | 1113 |
2488314 | 2488314 | 2022-05-09 | Douglas | Nevada | 32005 | 7369 | 92 |
2488788 | 2488788 | 2022-05-09 | Douglas | Oregon | 41019 | 19927 | 392 |
2489033 | 2489033 | 2022-05-09 | Douglas | South Dakota | 46043 | 684 | 16 |
2489619 | 2489619 | 2022-05-09 | Douglas | Washington | 53017 | 11209 | 70 |
2489721 | 2489721 | 2022-05-09 | Douglas | Wisconsin | 55031 | 11880 | 79 |
2483549 | 2483549 | 2022-05-08 | Douglas | Colorado | 8035 | 80797 | 457 |
2483724 | 2483724 | 2022-05-08 | Douglas | Georgia | 13097 | 35060 | 400 |
2483908 | 2483908 | 2022-05-08 | Douglas | Illinois | 17041 | 6573 | 61 |
2484206 | 2484206 | 2022-05-08 | Douglas | Kansas | 20045 | 27058 | 138 |
2484636 | 2484636 | 2022-05-08 | Douglas | Minnesota | 27041 | 11026 | 116 |
2484820 | 2484820 | 2022-05-08 | Douglas | Missouri | 29067 | 2551 | 80 |
2484987 | 2484987 | 2022-05-08 | Douglas | Nebraska | 31055 | 151683 | 1112 |
2485057 | 2485057 | 2022-05-08 | Douglas | Nevada | 32005 | 7369 | 92 |
2485531 | 2485531 | 2022-05-08 | Douglas | Oregon | 41019 | 19912 | 392 |
2485776 | 2485776 | 2022-05-08 | Douglas | South Dakota | 46043 | 684 | 16 |
2486362 | 2486362 | 2022-05-08 | Douglas | Washington | 53017 | 11185 | 70 |
2486464 | 2486464 | 2022-05-08 | Douglas | Wisconsin | 55031 | 11846 | 79 |
2480291 | 2480291 | 2022-05-07 | Douglas | Colorado | 8035 | 80797 | 457 |
2480466 | 2480466 | 2022-05-07 | Douglas | Georgia | 13097 | 35060 | 400 |
2480650 | 2480650 | 2022-05-07 | Douglas | Illinois | 17041 | 6573 | 61 |
2480948 | 2480948 | 2022-05-07 | Douglas | Kansas | 20045 | 27058 | 138 |
2481378 | 2481378 | 2022-05-07 | Douglas | Minnesota | 27041 | 11026 | 116 |
2481562 | 2481562 | 2022-05-07 | Douglas | Missouri | 29067 | 2551 | 80 |
2481729 | 2481729 | 2022-05-07 | Douglas | Nebraska | 31055 | 151683 | 1112 |
2481799 | 2481799 | 2022-05-07 | Douglas | Nevada | 32005 | 7369 | 92 |
2482273 | 2482273 | 2022-05-07 | Douglas | Oregon | 41019 | 19912 | 392 |
2482518 | 2482518 | 2022-05-07 | Douglas | South Dakota | 46043 | 684 | 16 |
2483104 | 2483104 | 2022-05-07 | Douglas | Washington | 53017 | 11185 | 70 |
2483206 | 2483206 | 2022-05-07 | Douglas | Wisconsin | 55031 | 11846 | 79 |
2477033 | 2477033 | 2022-05-06 | Douglas | Colorado | 8035 | 80790 | 457 |
2477208 | 2477208 | 2022-05-06 | Douglas | Georgia | 13097 | 35060 | 400 |
2477392 | 2477392 | 2022-05-06 | Douglas | Illinois | 17041 | 6573 | 61 |
2477690 | 2477690 | 2022-05-06 | Douglas | Kansas | 20045 | 27058 | 138 |
2478120 | 2478120 | 2022-05-06 | Douglas | Minnesota | 27041 | 11026 | 116 |
2478304 | 2478304 | 2022-05-06 | Douglas | Missouri | 29067 | 2551 | 80 |
2478471 | 2478471 | 2022-05-06 | Douglas | Nebraska | 31055 | 151683 | 1112 |
2478541 | 2478541 | 2022-05-06 | Douglas | Nevada | 32005 | 7369 | 92 |
2479015 | 2479015 | 2022-05-06 | Douglas | Oregon | 41019 | 19912 | 392 |
2479260 | 2479260 | 2022-05-06 | Douglas | South Dakota | 46043 | 684 | 16 |
2479846 | 2479846 | 2022-05-06 | Douglas | Washington | 53017 | 11185 | 70 |
2479948 | 2479948 | 2022-05-06 | Douglas | Wisconsin | 55031 | 11846 | 79 |
2473775 | 2473775 | 2022-05-05 | Douglas | Colorado | 8035 | 80718 | 457 |
2473950 | 2473950 | 2022-05-05 | Douglas | Georgia | 13097 | 35060 | 400 |
2474134 | 2474134 | 2022-05-05 | Douglas | Illinois | 17041 | 6572 | 61 |
2474432 | 2474432 | 2022-05-05 | Douglas | Kansas | 20045 | 27058 | 138 |
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CREATE TABLE [ny_times_us_counties] ( [date] TEXT, [county] TEXT, [state] TEXT, [fips] INTEGER, [cases] INTEGER, [deaths] INTEGER ); CREATE INDEX [idx_ny_times_us_counties_state] ON [ny_times_us_counties] ([state]); CREATE INDEX [idx_ny_times_us_counties_county] ON [ny_times_us_counties] ([county]); CREATE INDEX [idx_ny_times_us_counties_fips] ON [ny_times_us_counties] ([fips]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);