ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
66 rows where date = "2020-09-02" and state = "South Dakota" sorted by date descending
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Suggested facets: deaths, date (date)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
494825 | 494825 | 2020-09-02 | Aurora | South Dakota | 46003 | 42 | 0 |
494826 | 494826 | 2020-09-02 | Beadle | South Dakota | 46005 | 641 | 9 |
494827 | 494827 | 2020-09-02 | Bennett | South Dakota | 46007 | 24 | 0 |
494828 | 494828 | 2020-09-02 | Bon Homme | South Dakota | 46009 | 53 | 1 |
494829 | 494829 | 2020-09-02 | Brookings | South Dakota | 46011 | 362 | 1 |
494830 | 494830 | 2020-09-02 | Brown | South Dakota | 46013 | 696 | 3 |
494831 | 494831 | 2020-09-02 | Brule | South Dakota | 46015 | 68 | 0 |
494832 | 494832 | 2020-09-02 | Buffalo | South Dakota | 46017 | 110 | 3 |
494833 | 494833 | 2020-09-02 | Butte | South Dakota | 46019 | 49 | 1 |
494834 | 494834 | 2020-09-02 | Campbell | South Dakota | 46021 | 5 | 0 |
494835 | 494835 | 2020-09-02 | Charles Mix | South Dakota | 46023 | 122 | 0 |
494836 | 494836 | 2020-09-02 | Clark | South Dakota | 46025 | 21 | 0 |
494837 | 494837 | 2020-09-02 | Clay | South Dakota | 46027 | 381 | 2 |
494838 | 494838 | 2020-09-02 | Codington | South Dakota | 46029 | 357 | 2 |
494839 | 494839 | 2020-09-02 | Corson | South Dakota | 46031 | 61 | 0 |
494840 | 494840 | 2020-09-02 | Custer | South Dakota | 46033 | 130 | 0 |
494841 | 494841 | 2020-09-02 | Davison | South Dakota | 46035 | 142 | 2 |
494842 | 494842 | 2020-09-02 | Day | South Dakota | 46037 | 38 | 0 |
494843 | 494843 | 2020-09-02 | Deuel | South Dakota | 46039 | 49 | 0 |
494844 | 494844 | 2020-09-02 | Dewey | South Dakota | 46041 | 84 | 0 |
494845 | 494845 | 2020-09-02 | Douglas | South Dakota | 46043 | 31 | 0 |
494846 | 494846 | 2020-09-02 | Edmunds | South Dakota | 46045 | 32 | 0 |
494847 | 494847 | 2020-09-02 | Fall River | South Dakota | 46047 | 56 | 1 |
494848 | 494848 | 2020-09-02 | Faulk | South Dakota | 46049 | 33 | 1 |
494849 | 494849 | 2020-09-02 | Grant | South Dakota | 46051 | 44 | 0 |
494850 | 494850 | 2020-09-02 | Gregory | South Dakota | 46053 | 32 | 1 |
494851 | 494851 | 2020-09-02 | Haakon | South Dakota | 46055 | 6 | 0 |
494852 | 494852 | 2020-09-02 | Hamlin | South Dakota | 46057 | 60 | 0 |
494853 | 494853 | 2020-09-02 | Hand | South Dakota | 46059 | 15 | 0 |
494854 | 494854 | 2020-09-02 | Hanson | South Dakota | 46061 | 23 | 0 |
494855 | 494855 | 2020-09-02 | Harding | South Dakota | 46063 | 2 | 0 |
494856 | 494856 | 2020-09-02 | Hughes | South Dakota | 46065 | 133 | 4 |
494857 | 494857 | 2020-09-02 | Hutchinson | South Dakota | 46067 | 46 | 1 |
494858 | 494858 | 2020-09-02 | Hyde | South Dakota | 46069 | 7 | 0 |
494859 | 494859 | 2020-09-02 | Jackson | South Dakota | 46071 | 12 | 1 |
494860 | 494860 | 2020-09-02 | Jerauld | South Dakota | 46073 | 42 | 1 |
494861 | 494861 | 2020-09-02 | Jones | South Dakota | 46075 | 5 | 0 |
494862 | 494862 | 2020-09-02 | Kingsbury | South Dakota | 46077 | 23 | 0 |
494863 | 494863 | 2020-09-02 | Lake | South Dakota | 46079 | 118 | 6 |
494864 | 494864 | 2020-09-02 | Lawrence | South Dakota | 46081 | 233 | 3 |
494865 | 494865 | 2020-09-02 | Lincoln | South Dakota | 46083 | 935 | 2 |
494866 | 494866 | 2020-09-02 | Lyman | South Dakota | 46085 | 104 | 3 |
494867 | 494867 | 2020-09-02 | Marshall | South Dakota | 46091 | 19 | 0 |
494868 | 494868 | 2020-09-02 | McCook | South Dakota | 46087 | 53 | 1 |
494869 | 494869 | 2020-09-02 | McPherson | South Dakota | 46089 | 10 | 0 |
494870 | 494870 | 2020-09-02 | Meade | South Dakota | 46093 | 317 | 1 |
494871 | 494871 | 2020-09-02 | Mellette | South Dakota | 46095 | 25 | 0 |
494872 | 494872 | 2020-09-02 | Miner | South Dakota | 46097 | 17 | 0 |
494873 | 494873 | 2020-09-02 | Minnehaha | South Dakota | 46099 | 5389 | 70 |
494874 | 494874 | 2020-09-02 | Moody | South Dakota | 46101 | 47 | 0 |
494875 | 494875 | 2020-09-02 | Oglala Lakota | South Dakota | 46102 | 185 | 2 |
494876 | 494876 | 2020-09-02 | Pennington | South Dakota | 46103 | 1475 | 33 |
494877 | 494877 | 2020-09-02 | Perkins | South Dakota | 46105 | 19 | 0 |
494878 | 494878 | 2020-09-02 | Potter | South Dakota | 46107 | 18 | 0 |
494879 | 494879 | 2020-09-02 | Roberts | South Dakota | 46109 | 100 | 1 |
494880 | 494880 | 2020-09-02 | Sanborn | South Dakota | 46111 | 16 | 0 |
494881 | 494881 | 2020-09-02 | Spink | South Dakota | 46115 | 54 | 0 |
494882 | 494882 | 2020-09-02 | Stanley | South Dakota | 46117 | 21 | 0 |
494883 | 494883 | 2020-09-02 | Sully | South Dakota | 46119 | 8 | 0 |
494884 | 494884 | 2020-09-02 | Todd | South Dakota | 46121 | 82 | 5 |
494885 | 494885 | 2020-09-02 | Tripp | South Dakota | 46123 | 23 | 0 |
494886 | 494886 | 2020-09-02 | Turner | South Dakota | 46125 | 85 | 0 |
494887 | 494887 | 2020-09-02 | Union | South Dakota | 46127 | 273 | 5 |
494888 | 494888 | 2020-09-02 | Walworth | South Dakota | 46129 | 45 | 0 |
494889 | 494889 | 2020-09-02 | Yankton | South Dakota | 46135 | 245 | 3 |
494890 | 494890 | 2020-09-02 | Ziebach | South Dakota | 46137 | 50 | 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);