ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
1,555 rows where county = "Dakota" sorted by date descending
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Suggested facets: date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2500923 | 2500923 | 2022-05-13 | Dakota | Minnesota | 27037 | 113641 | 775 |
2501270 | 2501270 | 2022-05-13 | Dakota | Nebraska | 31043 | 6849 | 82 |
2497665 | 2497665 | 2022-05-12 | Dakota | Minnesota | 27037 | 113389 | 774 |
2498012 | 2498012 | 2022-05-12 | Dakota | Nebraska | 31043 | 6844 | 82 |
2494407 | 2494407 | 2022-05-11 | Dakota | Minnesota | 27037 | 113197 | 773 |
2494754 | 2494754 | 2022-05-11 | Dakota | Nebraska | 31043 | 6844 | 82 |
2491149 | 2491149 | 2022-05-10 | Dakota | Minnesota | 27037 | 113004 | 773 |
2491496 | 2491496 | 2022-05-10 | Dakota | Nebraska | 31043 | 6849 | 82 |
2487892 | 2487892 | 2022-05-09 | Dakota | Minnesota | 27037 | 112561 | 773 |
2488238 | 2488238 | 2022-05-09 | Dakota | Nebraska | 31043 | 6849 | 82 |
2484634 | 2484634 | 2022-05-08 | Dakota | Minnesota | 27037 | 112356 | 773 |
2484981 | 2484981 | 2022-05-08 | Dakota | Nebraska | 31043 | 6847 | 82 |
2481376 | 2481376 | 2022-05-07 | Dakota | Minnesota | 27037 | 112356 | 773 |
2481723 | 2481723 | 2022-05-07 | Dakota | Nebraska | 31043 | 6847 | 82 |
2478118 | 2478118 | 2022-05-06 | Dakota | Minnesota | 27037 | 112356 | 773 |
2478465 | 2478465 | 2022-05-06 | Dakota | Nebraska | 31043 | 6847 | 82 |
2474860 | 2474860 | 2022-05-05 | Dakota | Minnesota | 27037 | 112209 | 772 |
2475207 | 2475207 | 2022-05-05 | Dakota | Nebraska | 31043 | 6847 | 82 |
2471603 | 2471603 | 2022-05-04 | Dakota | Minnesota | 27037 | 112038 | 772 |
2471950 | 2471950 | 2022-05-04 | Dakota | Nebraska | 31043 | 6847 | 82 |
2468347 | 2468347 | 2022-05-03 | Dakota | Minnesota | 27037 | 111793 | 772 |
2468694 | 2468694 | 2022-05-03 | Dakota | Nebraska | 31043 | 6846 | 82 |
2465092 | 2465092 | 2022-05-02 | Dakota | Minnesota | 27037 | 111634 | 772 |
2465438 | 2465438 | 2022-05-02 | Dakota | Nebraska | 31043 | 6848 | 82 |
2461836 | 2461836 | 2022-05-01 | Dakota | Minnesota | 27037 | 111490 | 772 |
2462183 | 2462183 | 2022-05-01 | Dakota | Nebraska | 31043 | 6848 | 82 |
2458580 | 2458580 | 2022-04-30 | Dakota | Minnesota | 27037 | 111490 | 772 |
2458927 | 2458927 | 2022-04-30 | Dakota | Nebraska | 31043 | 6848 | 82 |
2455324 | 2455324 | 2022-04-29 | Dakota | Minnesota | 27037 | 111490 | 772 |
2455671 | 2455671 | 2022-04-29 | Dakota | Nebraska | 31043 | 6848 | 82 |
2452068 | 2452068 | 2022-04-28 | Dakota | Minnesota | 27037 | 111325 | 772 |
2452415 | 2452415 | 2022-04-28 | Dakota | Nebraska | 31043 | 6850 | 82 |
2448812 | 2448812 | 2022-04-27 | Dakota | Minnesota | 27037 | 111196 | 772 |
2449159 | 2449159 | 2022-04-27 | Dakota | Nebraska | 31043 | 6850 | 82 |
2445556 | 2445556 | 2022-04-26 | Dakota | Minnesota | 27037 | 111080 | 772 |
2445902 | 2445902 | 2022-04-26 | Dakota | Nebraska | 31043 | 6850 | 82 |
2442300 | 2442300 | 2022-04-25 | Dakota | Minnesota | 27037 | 110877 | 772 |
2442647 | 2442647 | 2022-04-25 | Dakota | Nebraska | 31043 | 6846 | 82 |
2439044 | 2439044 | 2022-04-24 | Dakota | Minnesota | 27037 | 110798 | 771 |
2439391 | 2439391 | 2022-04-24 | Dakota | Nebraska | 31043 | 6846 | 82 |
2435788 | 2435788 | 2022-04-23 | Dakota | Minnesota | 27037 | 110798 | 771 |
2436135 | 2436135 | 2022-04-23 | Dakota | Nebraska | 31043 | 6846 | 82 |
2432532 | 2432532 | 2022-04-22 | Dakota | Minnesota | 27037 | 110798 | 771 |
2432879 | 2432879 | 2022-04-22 | Dakota | Nebraska | 31043 | 6846 | 82 |
2429276 | 2429276 | 2022-04-21 | Dakota | Minnesota | 27037 | 110688 | 771 |
2429623 | 2429623 | 2022-04-21 | Dakota | Nebraska | 31043 | 6900 | 82 |
2426020 | 2426020 | 2022-04-20 | Dakota | Minnesota | 27037 | 110604 | 770 |
2426367 | 2426367 | 2022-04-20 | Dakota | Nebraska | 31043 | 6900 | 82 |
2422764 | 2422764 | 2022-04-19 | Dakota | Minnesota | 27037 | 110510 | 770 |
2423111 | 2423111 | 2022-04-19 | Dakota | Nebraska | 31043 | 6900 | 82 |
2419508 | 2419508 | 2022-04-18 | Dakota | Minnesota | 27037 | 110356 | 770 |
2419854 | 2419854 | 2022-04-18 | Dakota | Nebraska | 31043 | 6899 | 82 |
2416252 | 2416252 | 2022-04-17 | Dakota | Minnesota | 27037 | 110296 | 769 |
2416599 | 2416599 | 2022-04-17 | Dakota | Nebraska | 31043 | 6899 | 82 |
2412996 | 2412996 | 2022-04-16 | Dakota | Minnesota | 27037 | 110296 | 769 |
2413343 | 2413343 | 2022-04-16 | Dakota | Nebraska | 31043 | 6899 | 82 |
2409740 | 2409740 | 2022-04-15 | Dakota | Minnesota | 27037 | 110296 | 769 |
2410087 | 2410087 | 2022-04-15 | Dakota | Nebraska | 31043 | 6899 | 82 |
2406484 | 2406484 | 2022-04-14 | Dakota | Minnesota | 27037 | 110222 | 769 |
2406831 | 2406831 | 2022-04-14 | Dakota | Nebraska | 31043 | 6899 | 82 |
2403228 | 2403228 | 2022-04-13 | Dakota | Minnesota | 27037 | 110149 | 769 |
2403575 | 2403575 | 2022-04-13 | Dakota | Nebraska | 31043 | 6899 | 82 |
2399974 | 2399974 | 2022-04-12 | Dakota | Minnesota | 27037 | 110117 | 769 |
2400320 | 2400320 | 2022-04-12 | Dakota | Nebraska | 31043 | 6900 | 82 |
2396718 | 2396718 | 2022-04-11 | Dakota | Minnesota | 27037 | 110029 | 769 |
2397065 | 2397065 | 2022-04-11 | Dakota | Nebraska | 31043 | 6900 | 82 |
2393463 | 2393463 | 2022-04-10 | Dakota | Minnesota | 27037 | 109970 | 769 |
2393810 | 2393810 | 2022-04-10 | Dakota | Nebraska | 31043 | 6900 | 82 |
2390207 | 2390207 | 2022-04-09 | Dakota | Minnesota | 27037 | 109970 | 769 |
2390554 | 2390554 | 2022-04-09 | Dakota | Nebraska | 31043 | 6900 | 82 |
2386951 | 2386951 | 2022-04-08 | Dakota | Minnesota | 27037 | 109970 | 769 |
2387298 | 2387298 | 2022-04-08 | Dakota | Nebraska | 31043 | 6900 | 82 |
2383696 | 2383696 | 2022-04-07 | Dakota | Minnesota | 27037 | 109922 | 769 |
2384043 | 2384043 | 2022-04-07 | Dakota | Nebraska | 31043 | 6900 | 82 |
2380441 | 2380441 | 2022-04-06 | Dakota | Minnesota | 27037 | 109872 | 769 |
2380788 | 2380788 | 2022-04-06 | Dakota | Nebraska | 31043 | 6900 | 82 |
2377186 | 2377186 | 2022-04-05 | Dakota | Minnesota | 27037 | 109834 | 767 |
2377533 | 2377533 | 2022-04-05 | Dakota | Nebraska | 31043 | 6900 | 82 |
2373934 | 2373934 | 2022-04-04 | Dakota | Minnesota | 27037 | 109747 | 767 |
2374280 | 2374280 | 2022-04-04 | Dakota | Nebraska | 31043 | 6900 | 82 |
2370681 | 2370681 | 2022-04-03 | Dakota | Minnesota | 27037 | 109704 | 766 |
2371028 | 2371028 | 2022-04-03 | Dakota | Nebraska | 31043 | 6900 | 82 |
2367428 | 2367428 | 2022-04-02 | Dakota | Minnesota | 27037 | 109704 | 766 |
2367775 | 2367775 | 2022-04-02 | Dakota | Nebraska | 31043 | 6900 | 82 |
2364175 | 2364175 | 2022-04-01 | Dakota | Minnesota | 27037 | 109704 | 766 |
2364522 | 2364522 | 2022-04-01 | Dakota | Nebraska | 31043 | 6900 | 82 |
2360921 | 2360921 | 2022-03-31 | Dakota | Minnesota | 27037 | 109647 | 765 |
2361268 | 2361268 | 2022-03-31 | Dakota | Nebraska | 31043 | 6900 | 82 |
2357667 | 2357667 | 2022-03-30 | Dakota | Minnesota | 27037 | 109618 | 765 |
2358014 | 2358014 | 2022-03-30 | Dakota | Nebraska | 31043 | 6904 | 82 |
2354414 | 2354414 | 2022-03-29 | Dakota | Minnesota | 27037 | 109593 | 763 |
2354761 | 2354761 | 2022-03-29 | Dakota | Nebraska | 31043 | 6904 | 82 |
2351162 | 2351162 | 2022-03-28 | Dakota | Minnesota | 27037 | 109528 | 762 |
2351508 | 2351508 | 2022-03-28 | Dakota | Nebraska | 31043 | 6904 | 82 |
2347909 | 2347909 | 2022-03-27 | Dakota | Minnesota | 27037 | 109489 | 762 |
2348256 | 2348256 | 2022-03-27 | Dakota | Nebraska | 31043 | 6904 | 82 |
2344656 | 2344656 | 2022-03-26 | Dakota | Minnesota | 27037 | 109489 | 762 |
2345003 | 2345003 | 2022-03-26 | Dakota | Nebraska | 31043 | 6904 | 82 |
2341403 | 2341403 | 2022-03-25 | Dakota | Minnesota | 27037 | 109489 | 762 |
2341750 | 2341750 | 2022-03-25 | Dakota | Nebraska | 31043 | 6904 | 82 |
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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);