ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
562 rows where deaths = 28 and state = "South Dakota" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2502083 | 2502083 | 2022-05-13 | Lake | South Dakota | 46079 | 2335 | 28 |
2502094 | 2502094 | 2022-05-13 | Moody | South Dakota | 46101 | 1386 | 28 |
2498825 | 2498825 | 2022-05-12 | Lake | South Dakota | 46079 | 2335 | 28 |
2498836 | 2498836 | 2022-05-12 | Moody | South Dakota | 46101 | 1386 | 28 |
2495567 | 2495567 | 2022-05-11 | Lake | South Dakota | 46079 | 2335 | 28 |
2495578 | 2495578 | 2022-05-11 | Moody | South Dakota | 46101 | 1386 | 28 |
2492309 | 2492309 | 2022-05-10 | Lake | South Dakota | 46079 | 2333 | 28 |
2492320 | 2492320 | 2022-05-10 | Moody | South Dakota | 46101 | 1380 | 28 |
2489051 | 2489051 | 2022-05-09 | Lake | South Dakota | 46079 | 2333 | 28 |
2489062 | 2489062 | 2022-05-09 | Moody | South Dakota | 46101 | 1380 | 28 |
2485794 | 2485794 | 2022-05-08 | Lake | South Dakota | 46079 | 2333 | 28 |
2485805 | 2485805 | 2022-05-08 | Moody | South Dakota | 46101 | 1380 | 28 |
2482536 | 2482536 | 2022-05-07 | Lake | South Dakota | 46079 | 2333 | 28 |
2482547 | 2482547 | 2022-05-07 | Moody | South Dakota | 46101 | 1380 | 28 |
2479278 | 2479278 | 2022-05-06 | Lake | South Dakota | 46079 | 2333 | 28 |
2479289 | 2479289 | 2022-05-06 | Moody | South Dakota | 46101 | 1380 | 28 |
2476020 | 2476020 | 2022-05-05 | Lake | South Dakota | 46079 | 2333 | 28 |
2476031 | 2476031 | 2022-05-05 | Moody | South Dakota | 46101 | 1380 | 28 |
2472763 | 2472763 | 2022-05-04 | Lake | South Dakota | 46079 | 2333 | 28 |
2472774 | 2472774 | 2022-05-04 | Moody | South Dakota | 46101 | 1380 | 28 |
2469507 | 2469507 | 2022-05-03 | Lake | South Dakota | 46079 | 2331 | 28 |
2469518 | 2469518 | 2022-05-03 | Moody | South Dakota | 46101 | 1379 | 28 |
2466251 | 2466251 | 2022-05-02 | Lake | South Dakota | 46079 | 2331 | 28 |
2466262 | 2466262 | 2022-05-02 | Moody | South Dakota | 46101 | 1379 | 28 |
2462996 | 2462996 | 2022-05-01 | Lake | South Dakota | 46079 | 2331 | 28 |
2463007 | 2463007 | 2022-05-01 | Moody | South Dakota | 46101 | 1379 | 28 |
2459740 | 2459740 | 2022-04-30 | Lake | South Dakota | 46079 | 2331 | 28 |
2459751 | 2459751 | 2022-04-30 | Moody | South Dakota | 46101 | 1379 | 28 |
2456484 | 2456484 | 2022-04-29 | Lake | South Dakota | 46079 | 2331 | 28 |
2456495 | 2456495 | 2022-04-29 | Moody | South Dakota | 46101 | 1379 | 28 |
2453228 | 2453228 | 2022-04-28 | Lake | South Dakota | 46079 | 2331 | 28 |
2453239 | 2453239 | 2022-04-28 | Moody | South Dakota | 46101 | 1379 | 28 |
2449972 | 2449972 | 2022-04-27 | Lake | South Dakota | 46079 | 2331 | 28 |
2449983 | 2449983 | 2022-04-27 | Moody | South Dakota | 46101 | 1379 | 28 |
2446715 | 2446715 | 2022-04-26 | Lake | South Dakota | 46079 | 2329 | 28 |
2446726 | 2446726 | 2022-04-26 | Moody | South Dakota | 46101 | 1378 | 28 |
2443460 | 2443460 | 2022-04-25 | Lake | South Dakota | 46079 | 2329 | 28 |
2443471 | 2443471 | 2022-04-25 | Moody | South Dakota | 46101 | 1378 | 28 |
2440204 | 2440204 | 2022-04-24 | Lake | South Dakota | 46079 | 2329 | 28 |
2440215 | 2440215 | 2022-04-24 | Moody | South Dakota | 46101 | 1378 | 28 |
2436948 | 2436948 | 2022-04-23 | Lake | South Dakota | 46079 | 2329 | 28 |
2436959 | 2436959 | 2022-04-23 | Moody | South Dakota | 46101 | 1378 | 28 |
2433692 | 2433692 | 2022-04-22 | Lake | South Dakota | 46079 | 2329 | 28 |
2433703 | 2433703 | 2022-04-22 | Moody | South Dakota | 46101 | 1378 | 28 |
2430436 | 2430436 | 2022-04-21 | Lake | South Dakota | 46079 | 2329 | 28 |
2430447 | 2430447 | 2022-04-21 | Moody | South Dakota | 46101 | 1378 | 28 |
2427180 | 2427180 | 2022-04-20 | Lake | South Dakota | 46079 | 2329 | 28 |
2427191 | 2427191 | 2022-04-20 | Moody | South Dakota | 46101 | 1378 | 28 |
2423924 | 2423924 | 2022-04-19 | Lake | South Dakota | 46079 | 2327 | 28 |
2423935 | 2423935 | 2022-04-19 | Moody | South Dakota | 46101 | 1376 | 28 |
2420668 | 2420668 | 2022-04-18 | Lake | South Dakota | 46079 | 2327 | 28 |
2420679 | 2420679 | 2022-04-18 | Moody | South Dakota | 46101 | 1376 | 28 |
2417412 | 2417412 | 2022-04-17 | Lake | South Dakota | 46079 | 2327 | 28 |
2417423 | 2417423 | 2022-04-17 | Moody | South Dakota | 46101 | 1376 | 28 |
2414156 | 2414156 | 2022-04-16 | Lake | South Dakota | 46079 | 2327 | 28 |
2414167 | 2414167 | 2022-04-16 | Moody | South Dakota | 46101 | 1376 | 28 |
2410900 | 2410900 | 2022-04-15 | Lake | South Dakota | 46079 | 2327 | 28 |
2410911 | 2410911 | 2022-04-15 | Moody | South Dakota | 46101 | 1376 | 28 |
2407644 | 2407644 | 2022-04-14 | Lake | South Dakota | 46079 | 2327 | 28 |
2407655 | 2407655 | 2022-04-14 | Moody | South Dakota | 46101 | 1376 | 28 |
2404388 | 2404388 | 2022-04-13 | Lake | South Dakota | 46079 | 2327 | 28 |
2404399 | 2404399 | 2022-04-13 | Moody | South Dakota | 46101 | 1376 | 28 |
2401133 | 2401133 | 2022-04-12 | Lake | South Dakota | 46079 | 2326 | 28 |
2401144 | 2401144 | 2022-04-12 | Moody | South Dakota | 46101 | 1376 | 28 |
2397878 | 2397878 | 2022-04-11 | Lake | South Dakota | 46079 | 2326 | 28 |
2397889 | 2397889 | 2022-04-11 | Moody | South Dakota | 46101 | 1376 | 28 |
2394623 | 2394623 | 2022-04-10 | Lake | South Dakota | 46079 | 2326 | 28 |
2394634 | 2394634 | 2022-04-10 | Moody | South Dakota | 46101 | 1376 | 28 |
2391367 | 2391367 | 2022-04-09 | Lake | South Dakota | 46079 | 2326 | 28 |
2391378 | 2391378 | 2022-04-09 | Moody | South Dakota | 46101 | 1376 | 28 |
2388111 | 2388111 | 2022-04-08 | Lake | South Dakota | 46079 | 2326 | 28 |
2388122 | 2388122 | 2022-04-08 | Moody | South Dakota | 46101 | 1376 | 28 |
2384856 | 2384856 | 2022-04-07 | Lake | South Dakota | 46079 | 2326 | 28 |
2384867 | 2384867 | 2022-04-07 | Moody | South Dakota | 46101 | 1376 | 28 |
2381601 | 2381601 | 2022-04-06 | Lake | South Dakota | 46079 | 2326 | 28 |
2381612 | 2381612 | 2022-04-06 | Moody | South Dakota | 46101 | 1376 | 28 |
2378346 | 2378346 | 2022-04-05 | Lake | South Dakota | 46079 | 2326 | 28 |
2378357 | 2378357 | 2022-04-05 | Moody | South Dakota | 46101 | 1375 | 28 |
2375092 | 2375092 | 2022-04-04 | Lake | South Dakota | 46079 | 2326 | 28 |
2375103 | 2375103 | 2022-04-04 | Moody | South Dakota | 46101 | 1375 | 28 |
2371840 | 2371840 | 2022-04-03 | Lake | South Dakota | 46079 | 2326 | 28 |
2371851 | 2371851 | 2022-04-03 | Moody | South Dakota | 46101 | 1375 | 28 |
2368587 | 2368587 | 2022-04-02 | Lake | South Dakota | 46079 | 2326 | 28 |
2368598 | 2368598 | 2022-04-02 | Moody | South Dakota | 46101 | 1375 | 28 |
2365334 | 2365334 | 2022-04-01 | Lake | South Dakota | 46079 | 2326 | 28 |
2365345 | 2365345 | 2022-04-01 | Moody | South Dakota | 46101 | 1375 | 28 |
2362081 | 2362081 | 2022-03-31 | Lake | South Dakota | 46079 | 2326 | 28 |
2362092 | 2362092 | 2022-03-31 | Moody | South Dakota | 46101 | 1375 | 28 |
2358827 | 2358827 | 2022-03-30 | Lake | South Dakota | 46079 | 2326 | 28 |
2358838 | 2358838 | 2022-03-30 | Moody | South Dakota | 46101 | 1375 | 28 |
2355573 | 2355573 | 2022-03-29 | Lake | South Dakota | 46079 | 2326 | 28 |
2355584 | 2355584 | 2022-03-29 | Moody | South Dakota | 46101 | 1374 | 28 |
2352320 | 2352320 | 2022-03-28 | Lake | South Dakota | 46079 | 2326 | 28 |
2352331 | 2352331 | 2022-03-28 | Moody | South Dakota | 46101 | 1374 | 28 |
2349068 | 2349068 | 2022-03-27 | Lake | South Dakota | 46079 | 2326 | 28 |
2349079 | 2349079 | 2022-03-27 | Moody | South Dakota | 46101 | 1374 | 28 |
2345815 | 2345815 | 2022-03-26 | Lake | South Dakota | 46079 | 2326 | 28 |
2345826 | 2345826 | 2022-03-26 | Moody | South Dakota | 46101 | 1374 | 28 |
2342562 | 2342562 | 2022-03-25 | Lake | South Dakota | 46079 | 2326 | 28 |
2342573 | 2342573 | 2022-03-25 | Moody | South Dakota | 46101 | 1374 | 28 |
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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);