ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
1,543 rows where county = "Wells" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2500370 | 2500370 | 2022-05-13 | Wells | Indiana | 18179 | 6511 | 132 |
2501638 | 2501638 | 2022-05-13 | Wells | North Dakota | 38103 | 1018 | 12 |
2497112 | 2497112 | 2022-05-12 | Wells | Indiana | 18179 | 6509 | 132 |
2498380 | 2498380 | 2022-05-12 | Wells | North Dakota | 38103 | 1016 | 12 |
2493854 | 2493854 | 2022-05-11 | Wells | Indiana | 18179 | 6509 | 132 |
2495122 | 2495122 | 2022-05-11 | Wells | North Dakota | 38103 | 1016 | 12 |
2490596 | 2490596 | 2022-05-10 | Wells | Indiana | 18179 | 6508 | 132 |
2491864 | 2491864 | 2022-05-10 | Wells | North Dakota | 38103 | 1016 | 12 |
2487339 | 2487339 | 2022-05-09 | Wells | Indiana | 18179 | 6508 | 132 |
2488606 | 2488606 | 2022-05-09 | Wells | North Dakota | 38103 | 1016 | 12 |
2484081 | 2484081 | 2022-05-08 | Wells | Indiana | 18179 | 6507 | 132 |
2485349 | 2485349 | 2022-05-08 | Wells | North Dakota | 38103 | 1016 | 12 |
2480823 | 2480823 | 2022-05-07 | Wells | Indiana | 18179 | 6507 | 132 |
2482091 | 2482091 | 2022-05-07 | Wells | North Dakota | 38103 | 1016 | 12 |
2477565 | 2477565 | 2022-05-06 | Wells | Indiana | 18179 | 6507 | 132 |
2478833 | 2478833 | 2022-05-06 | Wells | North Dakota | 38103 | 1016 | 12 |
2474307 | 2474307 | 2022-05-05 | Wells | Indiana | 18179 | 6507 | 132 |
2475575 | 2475575 | 2022-05-05 | Wells | North Dakota | 38103 | 1015 | 12 |
2471050 | 2471050 | 2022-05-04 | Wells | Indiana | 18179 | 6507 | 132 |
2472318 | 2472318 | 2022-05-04 | Wells | North Dakota | 38103 | 1015 | 12 |
2467794 | 2467794 | 2022-05-03 | Wells | Indiana | 18179 | 6506 | 132 |
2469062 | 2469062 | 2022-05-03 | Wells | North Dakota | 38103 | 1015 | 12 |
2464539 | 2464539 | 2022-05-02 | Wells | Indiana | 18179 | 6506 | 132 |
2465806 | 2465806 | 2022-05-02 | Wells | North Dakota | 38103 | 1015 | 12 |
2461283 | 2461283 | 2022-05-01 | Wells | Indiana | 18179 | 6506 | 132 |
2462551 | 2462551 | 2022-05-01 | Wells | North Dakota | 38103 | 1015 | 12 |
2458027 | 2458027 | 2022-04-30 | Wells | Indiana | 18179 | 6506 | 132 |
2459295 | 2459295 | 2022-04-30 | Wells | North Dakota | 38103 | 1015 | 12 |
2454771 | 2454771 | 2022-04-29 | Wells | Indiana | 18179 | 6506 | 132 |
2456039 | 2456039 | 2022-04-29 | Wells | North Dakota | 38103 | 1015 | 12 |
2451515 | 2451515 | 2022-04-28 | Wells | Indiana | 18179 | 6503 | 132 |
2452783 | 2452783 | 2022-04-28 | Wells | North Dakota | 38103 | 1014 | 12 |
2448259 | 2448259 | 2022-04-27 | Wells | Indiana | 18179 | 6503 | 132 |
2449527 | 2449527 | 2022-04-27 | Wells | North Dakota | 38103 | 1014 | 12 |
2445003 | 2445003 | 2022-04-26 | Wells | Indiana | 18179 | 6501 | 132 |
2446270 | 2446270 | 2022-04-26 | Wells | North Dakota | 38103 | 1014 | 12 |
2441747 | 2441747 | 2022-04-25 | Wells | Indiana | 18179 | 6501 | 132 |
2443015 | 2443015 | 2022-04-25 | Wells | North Dakota | 38103 | 1014 | 12 |
2438491 | 2438491 | 2022-04-24 | Wells | Indiana | 18179 | 6501 | 132 |
2439759 | 2439759 | 2022-04-24 | Wells | North Dakota | 38103 | 1014 | 12 |
2435235 | 2435235 | 2022-04-23 | Wells | Indiana | 18179 | 6501 | 132 |
2436503 | 2436503 | 2022-04-23 | Wells | North Dakota | 38103 | 1014 | 12 |
2431979 | 2431979 | 2022-04-22 | Wells | Indiana | 18179 | 6501 | 132 |
2433247 | 2433247 | 2022-04-22 | Wells | North Dakota | 38103 | 1014 | 12 |
2428723 | 2428723 | 2022-04-21 | Wells | Indiana | 18179 | 6500 | 132 |
2429991 | 2429991 | 2022-04-21 | Wells | North Dakota | 38103 | 1013 | 12 |
2425467 | 2425467 | 2022-04-20 | Wells | Indiana | 18179 | 6500 | 132 |
2426735 | 2426735 | 2022-04-20 | Wells | North Dakota | 38103 | 1013 | 12 |
2422211 | 2422211 | 2022-04-19 | Wells | Indiana | 18179 | 6500 | 132 |
2423479 | 2423479 | 2022-04-19 | Wells | North Dakota | 38103 | 1013 | 12 |
2418955 | 2418955 | 2022-04-18 | Wells | Indiana | 18179 | 6500 | 132 |
2420222 | 2420222 | 2022-04-18 | Wells | North Dakota | 38103 | 1013 | 12 |
2415699 | 2415699 | 2022-04-17 | Wells | Indiana | 18179 | 6498 | 132 |
2416967 | 2416967 | 2022-04-17 | Wells | North Dakota | 38103 | 1013 | 12 |
2412443 | 2412443 | 2022-04-16 | Wells | Indiana | 18179 | 6498 | 132 |
2413711 | 2413711 | 2022-04-16 | Wells | North Dakota | 38103 | 1013 | 12 |
2409187 | 2409187 | 2022-04-15 | Wells | Indiana | 18179 | 6498 | 132 |
2410455 | 2410455 | 2022-04-15 | Wells | North Dakota | 38103 | 1013 | 12 |
2405931 | 2405931 | 2022-04-14 | Wells | Indiana | 18179 | 6498 | 132 |
2407199 | 2407199 | 2022-04-14 | Wells | North Dakota | 38103 | 1011 | 12 |
2402675 | 2402675 | 2022-04-13 | Wells | Indiana | 18179 | 6498 | 132 |
2403943 | 2403943 | 2022-04-13 | Wells | North Dakota | 38103 | 1011 | 12 |
2399421 | 2399421 | 2022-04-12 | Wells | Indiana | 18179 | 6496 | 132 |
2400688 | 2400688 | 2022-04-12 | Wells | North Dakota | 38103 | 1011 | 12 |
2396165 | 2396165 | 2022-04-11 | Wells | Indiana | 18179 | 6496 | 132 |
2397433 | 2397433 | 2022-04-11 | Wells | North Dakota | 38103 | 1011 | 12 |
2392910 | 2392910 | 2022-04-10 | Wells | Indiana | 18179 | 6495 | 132 |
2394178 | 2394178 | 2022-04-10 | Wells | North Dakota | 38103 | 1011 | 12 |
2389654 | 2389654 | 2022-04-09 | Wells | Indiana | 18179 | 6495 | 132 |
2390922 | 2390922 | 2022-04-09 | Wells | North Dakota | 38103 | 1011 | 12 |
2386398 | 2386398 | 2022-04-08 | Wells | Indiana | 18179 | 6495 | 132 |
2387666 | 2387666 | 2022-04-08 | Wells | North Dakota | 38103 | 1011 | 12 |
2383144 | 2383144 | 2022-04-07 | Wells | Indiana | 18179 | 6494 | 132 |
2384411 | 2384411 | 2022-04-07 | Wells | North Dakota | 38103 | 1011 | 12 |
2379889 | 2379889 | 2022-04-06 | Wells | Indiana | 18179 | 6494 | 132 |
2381156 | 2381156 | 2022-04-06 | Wells | North Dakota | 38103 | 1011 | 12 |
2376634 | 2376634 | 2022-04-05 | Wells | Indiana | 18179 | 6496 | 132 |
2377901 | 2377901 | 2022-04-05 | Wells | North Dakota | 38103 | 1011 | 12 |
2373382 | 2373382 | 2022-04-04 | Wells | Indiana | 18179 | 6496 | 132 |
2374648 | 2374648 | 2022-04-04 | Wells | North Dakota | 38103 | 1011 | 12 |
2370129 | 2370129 | 2022-04-03 | Wells | Indiana | 18179 | 6495 | 132 |
2371396 | 2371396 | 2022-04-03 | Wells | North Dakota | 38103 | 1011 | 12 |
2366876 | 2366876 | 2022-04-02 | Wells | Indiana | 18179 | 6495 | 132 |
2368143 | 2368143 | 2022-04-02 | Wells | North Dakota | 38103 | 1011 | 12 |
2363623 | 2363623 | 2022-04-01 | Wells | Indiana | 18179 | 6495 | 132 |
2364890 | 2364890 | 2022-04-01 | Wells | North Dakota | 38103 | 1011 | 12 |
2360369 | 2360369 | 2022-03-31 | Wells | Indiana | 18179 | 6494 | 132 |
2361636 | 2361636 | 2022-03-31 | Wells | North Dakota | 38103 | 1010 | 12 |
2357115 | 2357115 | 2022-03-30 | Wells | Indiana | 18179 | 6494 | 132 |
2358382 | 2358382 | 2022-03-30 | Wells | North Dakota | 38103 | 1010 | 12 |
2353862 | 2353862 | 2022-03-29 | Wells | Indiana | 18179 | 6523 | 132 |
2355128 | 2355128 | 2022-03-29 | Wells | North Dakota | 38103 | 1010 | 12 |
2350610 | 2350610 | 2022-03-28 | Wells | Indiana | 18179 | 6521 | 132 |
2351875 | 2351875 | 2022-03-28 | Wells | North Dakota | 38103 | 1010 | 12 |
2347357 | 2347357 | 2022-03-27 | Wells | Indiana | 18179 | 6521 | 132 |
2348623 | 2348623 | 2022-03-27 | Wells | North Dakota | 38103 | 1010 | 12 |
2344104 | 2344104 | 2022-03-26 | Wells | Indiana | 18179 | 6521 | 132 |
2345370 | 2345370 | 2022-03-26 | Wells | North Dakota | 38103 | 1010 | 12 |
2340851 | 2340851 | 2022-03-25 | Wells | Indiana | 18179 | 6521 | 132 |
2342117 | 2342117 | 2022-03-25 | Wells | North Dakota | 38103 | 1010 | 12 |
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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);