ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
778 rows where fips = 46127 and state = "South Dakota" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2502107 | 2502107 | 2022-05-13 | Union | South Dakota | 46127 | 4026 | 52 |
2498849 | 2498849 | 2022-05-12 | Union | South Dakota | 46127 | 4026 | 52 |
2495591 | 2495591 | 2022-05-11 | Union | South Dakota | 46127 | 4026 | 52 |
2492333 | 2492333 | 2022-05-10 | Union | South Dakota | 46127 | 4012 | 52 |
2489075 | 2489075 | 2022-05-09 | Union | South Dakota | 46127 | 4012 | 52 |
2485818 | 2485818 | 2022-05-08 | Union | South Dakota | 46127 | 4012 | 52 |
2482560 | 2482560 | 2022-05-07 | Union | South Dakota | 46127 | 4012 | 52 |
2479302 | 2479302 | 2022-05-06 | Union | South Dakota | 46127 | 4012 | 52 |
2476044 | 2476044 | 2022-05-05 | Union | South Dakota | 46127 | 4012 | 52 |
2472787 | 2472787 | 2022-05-04 | Union | South Dakota | 46127 | 4012 | 52 |
2469531 | 2469531 | 2022-05-03 | Union | South Dakota | 46127 | 4009 | 52 |
2466275 | 2466275 | 2022-05-02 | Union | South Dakota | 46127 | 4009 | 52 |
2463020 | 2463020 | 2022-05-01 | Union | South Dakota | 46127 | 4009 | 52 |
2459764 | 2459764 | 2022-04-30 | Union | South Dakota | 46127 | 4009 | 52 |
2456508 | 2456508 | 2022-04-29 | Union | South Dakota | 46127 | 4009 | 52 |
2453252 | 2453252 | 2022-04-28 | Union | South Dakota | 46127 | 4009 | 52 |
2449996 | 2449996 | 2022-04-27 | Union | South Dakota | 46127 | 4009 | 52 |
2446739 | 2446739 | 2022-04-26 | Union | South Dakota | 46127 | 4006 | 52 |
2443484 | 2443484 | 2022-04-25 | Union | South Dakota | 46127 | 4006 | 52 |
2440228 | 2440228 | 2022-04-24 | Union | South Dakota | 46127 | 4006 | 52 |
2436972 | 2436972 | 2022-04-23 | Union | South Dakota | 46127 | 4006 | 52 |
2433716 | 2433716 | 2022-04-22 | Union | South Dakota | 46127 | 4006 | 52 |
2430460 | 2430460 | 2022-04-21 | Union | South Dakota | 46127 | 4006 | 52 |
2427204 | 2427204 | 2022-04-20 | Union | South Dakota | 46127 | 4006 | 52 |
2423948 | 2423948 | 2022-04-19 | Union | South Dakota | 46127 | 4005 | 52 |
2420692 | 2420692 | 2022-04-18 | Union | South Dakota | 46127 | 4005 | 52 |
2417436 | 2417436 | 2022-04-17 | Union | South Dakota | 46127 | 4005 | 52 |
2414180 | 2414180 | 2022-04-16 | Union | South Dakota | 46127 | 4005 | 52 |
2410924 | 2410924 | 2022-04-15 | Union | South Dakota | 46127 | 4005 | 52 |
2407668 | 2407668 | 2022-04-14 | Union | South Dakota | 46127 | 4005 | 52 |
2404412 | 2404412 | 2022-04-13 | Union | South Dakota | 46127 | 4005 | 52 |
2401157 | 2401157 | 2022-04-12 | Union | South Dakota | 46127 | 4006 | 52 |
2397902 | 2397902 | 2022-04-11 | Union | South Dakota | 46127 | 4006 | 52 |
2394647 | 2394647 | 2022-04-10 | Union | South Dakota | 46127 | 4006 | 52 |
2391391 | 2391391 | 2022-04-09 | Union | South Dakota | 46127 | 4006 | 52 |
2388135 | 2388135 | 2022-04-08 | Union | South Dakota | 46127 | 4006 | 52 |
2384880 | 2384880 | 2022-04-07 | Union | South Dakota | 46127 | 4006 | 52 |
2381625 | 2381625 | 2022-04-06 | Union | South Dakota | 46127 | 4006 | 52 |
2378370 | 2378370 | 2022-04-05 | Union | South Dakota | 46127 | 4000 | 52 |
2375116 | 2375116 | 2022-04-04 | Union | South Dakota | 46127 | 4000 | 52 |
2371864 | 2371864 | 2022-04-03 | Union | South Dakota | 46127 | 4000 | 52 |
2368611 | 2368611 | 2022-04-02 | Union | South Dakota | 46127 | 4000 | 52 |
2365358 | 2365358 | 2022-04-01 | Union | South Dakota | 46127 | 4000 | 52 |
2362105 | 2362105 | 2022-03-31 | Union | South Dakota | 46127 | 4000 | 52 |
2358851 | 2358851 | 2022-03-30 | Union | South Dakota | 46127 | 4000 | 52 |
2355597 | 2355597 | 2022-03-29 | Union | South Dakota | 46127 | 3998 | 52 |
2352344 | 2352344 | 2022-03-28 | Union | South Dakota | 46127 | 3998 | 52 |
2349092 | 2349092 | 2022-03-27 | Union | South Dakota | 46127 | 3998 | 52 |
2345839 | 2345839 | 2022-03-26 | Union | South Dakota | 46127 | 3998 | 52 |
2342586 | 2342586 | 2022-03-25 | Union | South Dakota | 46127 | 3998 | 52 |
2339333 | 2339333 | 2022-03-24 | Union | South Dakota | 46127 | 3998 | 52 |
2336079 | 2336079 | 2022-03-23 | Union | South Dakota | 46127 | 3998 | 52 |
2332825 | 2332825 | 2022-03-22 | Union | South Dakota | 46127 | 3998 | 52 |
2329572 | 2329572 | 2022-03-21 | Union | South Dakota | 46127 | 3998 | 52 |
2326320 | 2326320 | 2022-03-20 | Union | South Dakota | 46127 | 3998 | 52 |
2323067 | 2323067 | 2022-03-19 | Union | South Dakota | 46127 | 3998 | 52 |
2319813 | 2319813 | 2022-03-18 | Union | South Dakota | 46127 | 3998 | 52 |
2316559 | 2316559 | 2022-03-17 | Union | South Dakota | 46127 | 3998 | 52 |
2313306 | 2313306 | 2022-03-16 | Union | South Dakota | 46127 | 3998 | 52 |
2310053 | 2310053 | 2022-03-15 | Union | South Dakota | 46127 | 3998 | 52 |
2306800 | 2306800 | 2022-03-14 | Union | South Dakota | 46127 | 3998 | 52 |
2303549 | 2303549 | 2022-03-13 | Union | South Dakota | 46127 | 3999 | 52 |
2300297 | 2300297 | 2022-03-12 | Union | South Dakota | 46127 | 3999 | 52 |
2297045 | 2297045 | 2022-03-11 | Union | South Dakota | 46127 | 3999 | 52 |
2293793 | 2293793 | 2022-03-10 | Union | South Dakota | 46127 | 3998 | 52 |
2290541 | 2290541 | 2022-03-09 | Union | South Dakota | 46127 | 3997 | 52 |
2287289 | 2287289 | 2022-03-08 | Union | South Dakota | 46127 | 3998 | 52 |
2284037 | 2284037 | 2022-03-07 | Union | South Dakota | 46127 | 3995 | 51 |
2280785 | 2280785 | 2022-03-06 | Union | South Dakota | 46127 | 3995 | 51 |
2277532 | 2277532 | 2022-03-05 | Union | South Dakota | 46127 | 3995 | 51 |
2274279 | 2274279 | 2022-03-04 | Union | South Dakota | 46127 | 3995 | 51 |
2271026 | 2271026 | 2022-03-03 | Union | South Dakota | 46127 | 3994 | 51 |
2267774 | 2267774 | 2022-03-02 | Union | South Dakota | 46127 | 3992 | 50 |
2264521 | 2264521 | 2022-03-01 | Union | South Dakota | 46127 | 3990 | 49 |
2261271 | 2261271 | 2022-02-28 | Union | South Dakota | 46127 | 3986 | 49 |
2258020 | 2258020 | 2022-02-27 | Union | South Dakota | 46127 | 3982 | 49 |
2254769 | 2254769 | 2022-02-26 | Union | South Dakota | 46127 | 3982 | 49 |
2251518 | 2251518 | 2022-02-25 | Union | South Dakota | 46127 | 3982 | 49 |
2248267 | 2248267 | 2022-02-24 | Union | South Dakota | 46127 | 3983 | 49 |
2245016 | 2245016 | 2022-02-23 | Union | South Dakota | 46127 | 3985 | 49 |
2241765 | 2241765 | 2022-02-22 | Union | South Dakota | 46127 | 3977 | 49 |
2238514 | 2238514 | 2022-02-21 | Union | South Dakota | 46127 | 3976 | 49 |
2235263 | 2235263 | 2022-02-20 | Union | South Dakota | 46127 | 3976 | 49 |
2232012 | 2232012 | 2022-02-19 | Union | South Dakota | 46127 | 3976 | 49 |
2228761 | 2228761 | 2022-02-18 | Union | South Dakota | 46127 | 3976 | 49 |
2225510 | 2225510 | 2022-02-17 | Union | South Dakota | 46127 | 3969 | 49 |
2222259 | 2222259 | 2022-02-16 | Union | South Dakota | 46127 | 3963 | 49 |
2219008 | 2219008 | 2022-02-15 | Union | South Dakota | 46127 | 3960 | 49 |
2215757 | 2215757 | 2022-02-14 | Union | South Dakota | 46127 | 3957 | 49 |
2212506 | 2212506 | 2022-02-13 | Union | South Dakota | 46127 | 3953 | 49 |
2209253 | 2209253 | 2022-02-12 | Union | South Dakota | 46127 | 3953 | 49 |
2206000 | 2206000 | 2022-02-11 | Union | South Dakota | 46127 | 3953 | 49 |
2202747 | 2202747 | 2022-02-10 | Union | South Dakota | 46127 | 3949 | 49 |
2199493 | 2199493 | 2022-02-09 | Union | South Dakota | 46127 | 3944 | 49 |
2196239 | 2196239 | 2022-02-08 | Union | South Dakota | 46127 | 3934 | 49 |
2192985 | 2192985 | 2022-02-07 | Union | South Dakota | 46127 | 3926 | 49 |
2189731 | 2189731 | 2022-02-06 | Union | South Dakota | 46127 | 3911 | 49 |
2186478 | 2186478 | 2022-02-05 | Union | South Dakota | 46127 | 3911 | 49 |
2183226 | 2183226 | 2022-02-04 | Union | South Dakota | 46127 | 3911 | 49 |
2179974 | 2179974 | 2022-02-03 | Union | South Dakota | 46127 | 3907 | 49 |
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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);