ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
5,289 rows where county = "Lewis" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
state 7
- Washington 790
- Tennessee 780
- Kentucky 776
- New York 776
- West Virginia 768
- Missouri 756
- Idaho 643
county 1
- Lewis · 5,289 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2500163 | 2500163 | 2022-05-13 | Lewis | Idaho | 16061 | 1134 | 29 |
2500646 | 2500646 | 2022-05-13 | Lewis | Kentucky | 21135 | 4529 | 86 |
2501133 | 2501133 | 2022-05-13 | Lewis | Missouri | 29111 | 2796 | 36 |
2501450 | 2501450 | 2022-05-13 | Lewis | New York | 36049 | 6417 | 49 |
2502161 | 2502161 | 2022-05-13 | Lewis | Tennessee | 47101 | 3573 | 60 |
2502663 | 2502663 | 2022-05-13 | Lewis | Washington | 53041 | 17798 | 254 |
2502703 | 2502703 | 2022-05-13 | Lewis | West Virginia | 54041 | 5359 | 86 |
2496905 | 2496905 | 2022-05-12 | Lewis | Idaho | 16061 | 1134 | 29 |
2497388 | 2497388 | 2022-05-12 | Lewis | Kentucky | 21135 | 4529 | 86 |
2497875 | 2497875 | 2022-05-12 | Lewis | Missouri | 29111 | 2788 | 36 |
2498192 | 2498192 | 2022-05-12 | Lewis | New York | 36049 | 6417 | 49 |
2498903 | 2498903 | 2022-05-12 | Lewis | Tennessee | 47101 | 3573 | 60 |
2499405 | 2499405 | 2022-05-12 | Lewis | Washington | 53041 | 17762 | 254 |
2499445 | 2499445 | 2022-05-12 | Lewis | West Virginia | 54041 | 5355 | 86 |
2493647 | 2493647 | 2022-05-11 | Lewis | Idaho | 16061 | 1134 | 29 |
2494130 | 2494130 | 2022-05-11 | Lewis | Kentucky | 21135 | 4529 | 86 |
2494617 | 2494617 | 2022-05-11 | Lewis | Missouri | 29111 | 2788 | 36 |
2494934 | 2494934 | 2022-05-11 | Lewis | New York | 36049 | 6397 | 49 |
2495645 | 2495645 | 2022-05-11 | Lewis | Tennessee | 47101 | 3573 | 60 |
2496147 | 2496147 | 2022-05-11 | Lewis | Washington | 53041 | 17762 | 254 |
2496187 | 2496187 | 2022-05-11 | Lewis | West Virginia | 54041 | 5355 | 86 |
2490389 | 2490389 | 2022-05-10 | Lewis | Idaho | 16061 | 1134 | 29 |
2490872 | 2490872 | 2022-05-10 | Lewis | Kentucky | 21135 | 4529 | 86 |
2491359 | 2491359 | 2022-05-10 | Lewis | Missouri | 29111 | 2788 | 36 |
2491676 | 2491676 | 2022-05-10 | Lewis | New York | 36049 | 6389 | 49 |
2492387 | 2492387 | 2022-05-10 | Lewis | Tennessee | 47101 | 3571 | 60 |
2492889 | 2492889 | 2022-05-10 | Lewis | Washington | 53041 | 17732 | 252 |
2492929 | 2492929 | 2022-05-10 | Lewis | West Virginia | 54041 | 5351 | 86 |
2487132 | 2487132 | 2022-05-09 | Lewis | Idaho | 16061 | 1134 | 29 |
2487615 | 2487615 | 2022-05-09 | Lewis | Kentucky | 21135 | 4529 | 86 |
2488101 | 2488101 | 2022-05-09 | Lewis | Missouri | 29111 | 2788 | 36 |
2488418 | 2488418 | 2022-05-09 | Lewis | New York | 36049 | 6378 | 49 |
2489129 | 2489129 | 2022-05-09 | Lewis | Tennessee | 47101 | 3571 | 60 |
2489631 | 2489631 | 2022-05-09 | Lewis | Washington | 53041 | 17732 | 252 |
2489671 | 2489671 | 2022-05-09 | Lewis | West Virginia | 54041 | 5351 | 86 |
2483874 | 2483874 | 2022-05-08 | Lewis | Idaho | 16061 | 1134 | 29 |
2484357 | 2484357 | 2022-05-08 | Lewis | Kentucky | 21135 | 4527 | 85 |
2484844 | 2484844 | 2022-05-08 | Lewis | Missouri | 29111 | 2788 | 36 |
2485161 | 2485161 | 2022-05-08 | Lewis | New York | 36049 | 6371 | 49 |
2485872 | 2485872 | 2022-05-08 | Lewis | Tennessee | 47101 | 3571 | 60 |
2486374 | 2486374 | 2022-05-08 | Lewis | Washington | 53041 | 17680 | 251 |
2486414 | 2486414 | 2022-05-08 | Lewis | West Virginia | 54041 | 5346 | 86 |
2480616 | 2480616 | 2022-05-07 | Lewis | Idaho | 16061 | 1134 | 29 |
2481099 | 2481099 | 2022-05-07 | Lewis | Kentucky | 21135 | 4527 | 85 |
2481586 | 2481586 | 2022-05-07 | Lewis | Missouri | 29111 | 2788 | 36 |
2481903 | 2481903 | 2022-05-07 | Lewis | New York | 36049 | 6368 | 49 |
2482614 | 2482614 | 2022-05-07 | Lewis | Tennessee | 47101 | 3571 | 60 |
2483116 | 2483116 | 2022-05-07 | Lewis | Washington | 53041 | 17680 | 251 |
2483156 | 2483156 | 2022-05-07 | Lewis | West Virginia | 54041 | 5346 | 86 |
2477358 | 2477358 | 2022-05-06 | Lewis | Idaho | 16061 | 1134 | 29 |
2477841 | 2477841 | 2022-05-06 | Lewis | Kentucky | 21135 | 4527 | 85 |
2478328 | 2478328 | 2022-05-06 | Lewis | Missouri | 29111 | 2788 | 36 |
2478645 | 2478645 | 2022-05-06 | Lewis | New York | 36049 | 6356 | 49 |
2479356 | 2479356 | 2022-05-06 | Lewis | Tennessee | 47101 | 3571 | 60 |
2479858 | 2479858 | 2022-05-06 | Lewis | Washington | 53041 | 17680 | 251 |
2479898 | 2479898 | 2022-05-06 | Lewis | West Virginia | 54041 | 5346 | 86 |
2474100 | 2474100 | 2022-05-05 | Lewis | Idaho | 16061 | 1134 | 29 |
2474583 | 2474583 | 2022-05-05 | Lewis | Kentucky | 21135 | 4527 | 85 |
2475070 | 2475070 | 2022-05-05 | Lewis | Missouri | 29111 | 2778 | 36 |
2475387 | 2475387 | 2022-05-05 | Lewis | New York | 36049 | 6344 | 49 |
2476098 | 2476098 | 2022-05-05 | Lewis | Tennessee | 47101 | 3571 | 60 |
2476600 | 2476600 | 2022-05-05 | Lewis | Washington | 53041 | 17680 | 251 |
2476640 | 2476640 | 2022-05-05 | Lewis | West Virginia | 54041 | 5342 | 86 |
2470843 | 2470843 | 2022-05-04 | Lewis | Idaho | 16061 | 1134 | 29 |
2471326 | 2471326 | 2022-05-04 | Lewis | Kentucky | 21135 | 4527 | 85 |
2471813 | 2471813 | 2022-05-04 | Lewis | Missouri | 29111 | 2745 | 35 |
2472130 | 2472130 | 2022-05-04 | Lewis | New York | 36049 | 6335 | 49 |
2472841 | 2472841 | 2022-05-04 | Lewis | Tennessee | 47101 | 3571 | 60 |
2473342 | 2473342 | 2022-05-04 | Lewis | Washington | 53041 | 17680 | 251 |
2473382 | 2473382 | 2022-05-04 | Lewis | West Virginia | 54041 | 5340 | 86 |
2467587 | 2467587 | 2022-05-03 | Lewis | Idaho | 16061 | 1134 | 29 |
2468070 | 2468070 | 2022-05-03 | Lewis | Kentucky | 21135 | 4527 | 85 |
2468557 | 2468557 | 2022-05-03 | Lewis | Missouri | 29111 | 2745 | 35 |
2468874 | 2468874 | 2022-05-03 | Lewis | New York | 36049 | 6329 | 49 |
2469585 | 2469585 | 2022-05-03 | Lewis | Tennessee | 47101 | 3570 | 60 |
2470086 | 2470086 | 2022-05-03 | Lewis | Washington | 53041 | 17661 | 250 |
2470125 | 2470125 | 2022-05-03 | Lewis | West Virginia | 54041 | 5338 | 86 |
2464332 | 2464332 | 2022-05-02 | Lewis | Idaho | 16061 | 1134 | 29 |
2464815 | 2464815 | 2022-05-02 | Lewis | Kentucky | 21135 | 4527 | 85 |
2465301 | 2465301 | 2022-05-02 | Lewis | Missouri | 29111 | 2745 | 35 |
2465618 | 2465618 | 2022-05-02 | Lewis | New York | 36049 | 6321 | 49 |
2466329 | 2466329 | 2022-05-02 | Lewis | Tennessee | 47101 | 3570 | 60 |
2466830 | 2466830 | 2022-05-02 | Lewis | Washington | 53041 | 17661 | 250 |
2466869 | 2466869 | 2022-05-02 | Lewis | West Virginia | 54041 | 5334 | 86 |
2461076 | 2461076 | 2022-05-01 | Lewis | Idaho | 16061 | 1134 | 29 |
2461559 | 2461559 | 2022-05-01 | Lewis | Kentucky | 21135 | 4522 | 84 |
2462046 | 2462046 | 2022-05-01 | Lewis | Missouri | 29111 | 2745 | 35 |
2462363 | 2462363 | 2022-05-01 | Lewis | New York | 36049 | 6313 | 49 |
2463074 | 2463074 | 2022-05-01 | Lewis | Tennessee | 47101 | 3570 | 60 |
2463575 | 2463575 | 2022-05-01 | Lewis | Washington | 53041 | 17638 | 250 |
2463614 | 2463614 | 2022-05-01 | Lewis | West Virginia | 54041 | 5329 | 86 |
2457820 | 2457820 | 2022-04-30 | Lewis | Idaho | 16061 | 1134 | 29 |
2458303 | 2458303 | 2022-04-30 | Lewis | Kentucky | 21135 | 4522 | 84 |
2458790 | 2458790 | 2022-04-30 | Lewis | Missouri | 29111 | 2745 | 35 |
2459107 | 2459107 | 2022-04-30 | Lewis | New York | 36049 | 6309 | 49 |
2459818 | 2459818 | 2022-04-30 | Lewis | Tennessee | 47101 | 3570 | 60 |
2460319 | 2460319 | 2022-04-30 | Lewis | Washington | 53041 | 17638 | 250 |
2460358 | 2460358 | 2022-04-30 | Lewis | West Virginia | 54041 | 5329 | 86 |
2454564 | 2454564 | 2022-04-29 | Lewis | Idaho | 16061 | 1134 | 29 |
2455047 | 2455047 | 2022-04-29 | Lewis | Kentucky | 21135 | 4522 | 84 |
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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);