ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
49 rows where date = "2020-05-22" and state = "South Dakota" sorted by date descending
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Suggested facets: cases, deaths, date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
168639 | 168639 | 2020-05-22 | Aurora | South Dakota | 46003 | 20 | 0 |
168640 | 168640 | 2020-05-22 | Beadle | South Dakota | 46005 | 98 | 2 |
168641 | 168641 | 2020-05-22 | Bon Homme | South Dakota | 46009 | 5 | 0 |
168642 | 168642 | 2020-05-22 | Brookings | South Dakota | 46011 | 14 | 0 |
168643 | 168643 | 2020-05-22 | Brown | South Dakota | 46013 | 235 | 0 |
168644 | 168644 | 2020-05-22 | Buffalo | South Dakota | 46017 | 7 | 0 |
168645 | 168645 | 2020-05-22 | Charles Mix | South Dakota | 46023 | 11 | 0 |
168646 | 168646 | 2020-05-22 | Clark | South Dakota | 46025 | 4 | 0 |
168647 | 168647 | 2020-05-22 | Clay | South Dakota | 46027 | 15 | 0 |
168648 | 168648 | 2020-05-22 | Codington | South Dakota | 46029 | 25 | 0 |
168649 | 168649 | 2020-05-22 | Corson | South Dakota | 46031 | 4 | 0 |
168650 | 168650 | 2020-05-22 | Davison | South Dakota | 46035 | 9 | 2 |
168651 | 168651 | 2020-05-22 | Day | South Dakota | 46037 | 11 | 0 |
168652 | 168652 | 2020-05-22 | Deuel | South Dakota | 46039 | 1 | 0 |
168653 | 168653 | 2020-05-22 | Douglas | South Dakota | 46043 | 1 | 0 |
168654 | 168654 | 2020-05-22 | Fall River | South Dakota | 46047 | 4 | 0 |
168655 | 168655 | 2020-05-22 | Faulk | South Dakota | 46049 | 1 | 0 |
168656 | 168656 | 2020-05-22 | Grant | South Dakota | 46051 | 10 | 0 |
168657 | 168657 | 2020-05-22 | Hamlin | South Dakota | 46057 | 3 | 0 |
168658 | 168658 | 2020-05-22 | Hand | South Dakota | 46059 | 1 | 0 |
168659 | 168659 | 2020-05-22 | Hughes | South Dakota | 46065 | 17 | 0 |
168660 | 168660 | 2020-05-22 | Hutchinson | South Dakota | 46067 | 3 | 0 |
168661 | 168661 | 2020-05-22 | Hyde | South Dakota | 46069 | 1 | 0 |
168662 | 168662 | 2020-05-22 | Jerauld | South Dakota | 46073 | 16 | 1 |
168663 | 168663 | 2020-05-22 | Lake | South Dakota | 46079 | 5 | 0 |
168664 | 168664 | 2020-05-22 | Lawrence | South Dakota | 46081 | 9 | 0 |
168665 | 168665 | 2020-05-22 | Lincoln | South Dakota | 46083 | 218 | 0 |
168666 | 168666 | 2020-05-22 | Lyman | South Dakota | 46085 | 10 | 0 |
168667 | 168667 | 2020-05-22 | Marshall | South Dakota | 46091 | 4 | 0 |
168668 | 168668 | 2020-05-22 | McCook | South Dakota | 46087 | 5 | 1 |
168669 | 168669 | 2020-05-22 | McPherson | South Dakota | 46089 | 1 | 0 |
168670 | 168670 | 2020-05-22 | Meade | South Dakota | 46093 | 6 | 0 |
168671 | 168671 | 2020-05-22 | Miner | South Dakota | 46097 | 1 | 0 |
168672 | 168672 | 2020-05-22 | Minnehaha | South Dakota | 46099 | 3211 | 43 |
168673 | 168673 | 2020-05-22 | Moody | South Dakota | 46101 | 18 | 0 |
168674 | 168674 | 2020-05-22 | Oglala Lakota | South Dakota | 46102 | 15 | 0 |
168675 | 168675 | 2020-05-22 | Pennington | South Dakota | 46103 | 127 | 1 |
168676 | 168676 | 2020-05-22 | Roberts | South Dakota | 46109 | 22 | 0 |
168677 | 168677 | 2020-05-22 | Sanborn | South Dakota | 46111 | 8 | 0 |
168678 | 168678 | 2020-05-22 | Spink | South Dakota | 46115 | 4 | 0 |
168679 | 168679 | 2020-05-22 | Stanley | South Dakota | 46117 | 9 | 0 |
168680 | 168680 | 2020-05-22 | Sully | South Dakota | 46119 | 1 | 0 |
168681 | 168681 | 2020-05-22 | Todd | South Dakota | 46121 | 17 | 0 |
168682 | 168682 | 2020-05-22 | Tripp | South Dakota | 46123 | 3 | 0 |
168683 | 168683 | 2020-05-22 | Turner | South Dakota | 46125 | 22 | 0 |
168684 | 168684 | 2020-05-22 | Union | South Dakota | 46127 | 73 | 0 |
168685 | 168685 | 2020-05-22 | Walworth | South Dakota | 46129 | 5 | 0 |
168686 | 168686 | 2020-05-22 | Yankton | South Dakota | 46135 | 45 | 0 |
168687 | 168687 | 2020-05-22 | Ziebach | South Dakota | 46137 | 1 | 0 |
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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);