ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
64 rows where "date" is on date 2020-07-19 and state = "South Dakota" sorted by date descending
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Suggested facets: deaths
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
349851 | 349851 | 2020-07-19 | Aurora | South Dakota | 46003 | 35 | 0 |
349852 | 349852 | 2020-07-19 | Beadle | South Dakota | 46005 | 571 | 9 |
349853 | 349853 | 2020-07-19 | Bennett | South Dakota | 46007 | 5 | 0 |
349854 | 349854 | 2020-07-19 | Bon Homme | South Dakota | 46009 | 13 | 0 |
349855 | 349855 | 2020-07-19 | Brookings | South Dakota | 46011 | 104 | 0 |
349856 | 349856 | 2020-07-19 | Brown | South Dakota | 46013 | 366 | 2 |
349857 | 349857 | 2020-07-19 | Brule | South Dakota | 46015 | 37 | 0 |
349858 | 349858 | 2020-07-19 | Buffalo | South Dakota | 46017 | 104 | 3 |
349859 | 349859 | 2020-07-19 | Butte | South Dakota | 46019 | 5 | 1 |
349860 | 349860 | 2020-07-19 | Campbell | South Dakota | 46021 | 1 | 0 |
349861 | 349861 | 2020-07-19 | Charles Mix | South Dakota | 46023 | 98 | 0 |
349862 | 349862 | 2020-07-19 | Clark | South Dakota | 46025 | 16 | 0 |
349863 | 349863 | 2020-07-19 | Clay | South Dakota | 46027 | 97 | 0 |
349864 | 349864 | 2020-07-19 | Codington | South Dakota | 46029 | 103 | 0 |
349865 | 349865 | 2020-07-19 | Corson | South Dakota | 46031 | 22 | 0 |
349866 | 349866 | 2020-07-19 | Custer | South Dakota | 46033 | 11 | 0 |
349867 | 349867 | 2020-07-19 | Davison | South Dakota | 46035 | 67 | 1 |
349868 | 349868 | 2020-07-19 | Day | South Dakota | 46037 | 19 | 0 |
349869 | 349869 | 2020-07-19 | Deuel | South Dakota | 46039 | 5 | 0 |
349870 | 349870 | 2020-07-19 | Dewey | South Dakota | 46041 | 45 | 0 |
349871 | 349871 | 2020-07-19 | Douglas | South Dakota | 46043 | 14 | 0 |
349872 | 349872 | 2020-07-19 | Edmunds | South Dakota | 46045 | 10 | 0 |
349873 | 349873 | 2020-07-19 | Fall River | South Dakota | 46047 | 14 | 0 |
349874 | 349874 | 2020-07-19 | Faulk | South Dakota | 46049 | 24 | 1 |
349875 | 349875 | 2020-07-19 | Grant | South Dakota | 46051 | 17 | 0 |
349876 | 349876 | 2020-07-19 | Gregory | South Dakota | 46053 | 6 | 0 |
349877 | 349877 | 2020-07-19 | Haakon | South Dakota | 46055 | 1 | 0 |
349878 | 349878 | 2020-07-19 | Hamlin | South Dakota | 46057 | 13 | 0 |
349879 | 349879 | 2020-07-19 | Hand | South Dakota | 46059 | 7 | 0 |
349880 | 349880 | 2020-07-19 | Hanson | South Dakota | 46061 | 14 | 0 |
349881 | 349881 | 2020-07-19 | Hughes | South Dakota | 46065 | 78 | 2 |
349882 | 349882 | 2020-07-19 | Hutchinson | South Dakota | 46067 | 20 | 0 |
349883 | 349883 | 2020-07-19 | Hyde | South Dakota | 46069 | 3 | 0 |
349884 | 349884 | 2020-07-19 | Jackson | South Dakota | 46071 | 7 | 1 |
349885 | 349885 | 2020-07-19 | Jerauld | South Dakota | 46073 | 39 | 1 |
349886 | 349886 | 2020-07-19 | Jones | South Dakota | 46075 | 1 | 0 |
349887 | 349887 | 2020-07-19 | Kingsbury | South Dakota | 46077 | 8 | 0 |
349888 | 349888 | 2020-07-19 | Lake | South Dakota | 46079 | 48 | 1 |
349889 | 349889 | 2020-07-19 | Lawrence | South Dakota | 46081 | 22 | 0 |
349890 | 349890 | 2020-07-19 | Lincoln | South Dakota | 46083 | 413 | 1 |
349891 | 349891 | 2020-07-19 | Lyman | South Dakota | 46085 | 84 | 1 |
349892 | 349892 | 2020-07-19 | Marshall | South Dakota | 46091 | 5 | 0 |
349893 | 349893 | 2020-07-19 | McCook | South Dakota | 46087 | 21 | 1 |
349894 | 349894 | 2020-07-19 | McPherson | South Dakota | 46089 | 6 | 0 |
349895 | 349895 | 2020-07-19 | Meade | South Dakota | 46093 | 58 | 1 |
349896 | 349896 | 2020-07-19 | Mellette | South Dakota | 46095 | 14 | 0 |
349897 | 349897 | 2020-07-19 | Miner | South Dakota | 46097 | 10 | 0 |
349898 | 349898 | 2020-07-19 | Minnehaha | South Dakota | 46099 | 3854 | 62 |
349899 | 349899 | 2020-07-19 | Moody | South Dakota | 46101 | 26 | 0 |
349900 | 349900 | 2020-07-19 | Oglala Lakota | South Dakota | 46102 | 127 | 1 |
349901 | 349901 | 2020-07-19 | Pennington | South Dakota | 46103 | 720 | 22 |
349902 | 349902 | 2020-07-19 | Perkins | South Dakota | 46105 | 4 | 0 |
349903 | 349903 | 2020-07-19 | Roberts | South Dakota | 46109 | 62 | 0 |
349904 | 349904 | 2020-07-19 | Sanborn | South Dakota | 46111 | 12 | 0 |
349905 | 349905 | 2020-07-19 | Spink | South Dakota | 46115 | 16 | 0 |
349906 | 349906 | 2020-07-19 | Stanley | South Dakota | 46117 | 14 | 0 |
349907 | 349907 | 2020-07-19 | Sully | South Dakota | 46119 | 1 | 0 |
349908 | 349908 | 2020-07-19 | Todd | South Dakota | 46121 | 65 | 3 |
349909 | 349909 | 2020-07-19 | Tripp | South Dakota | 46123 | 19 | 0 |
349910 | 349910 | 2020-07-19 | Turner | South Dakota | 46125 | 33 | 0 |
349911 | 349911 | 2020-07-19 | Union | South Dakota | 46127 | 161 | 2 |
349912 | 349912 | 2020-07-19 | Walworth | South Dakota | 46129 | 18 | 0 |
349913 | 349913 | 2020-07-19 | Yankton | South Dakota | 46135 | 90 | 2 |
349914 | 349914 | 2020-07-19 | Ziebach | South Dakota | 46137 | 3 | 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);