ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
58 rows where "date" is on date 2020-04-23 and state = "New York" sorted by date descending
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fips >30
county >30
- Albany 1
- Allegany 1
- Broome 1
- Cattaraugus 1
- Cayuga 1
- Chautauqua 1
- Chemung 1
- Chenango 1
- Clinton 1
- Columbia 1
- Cortland 1
- Delaware 1
- Dutchess 1
- Erie 1
- Essex 1
- Franklin 1
- Fulton 1
- Genesee 1
- Greene 1
- Hamilton 1
- Herkimer 1
- Jefferson 1
- Lewis 1
- Livingston 1
- Madison 1
- Monroe 1
- Montgomery 1
- Nassau 1
- New York City 1
- Niagara 1
- …
state 1
- New York · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
82879 | 82879 | 2020-04-23 | Albany | New York | 36001 | 758 | 41 |
82880 | 82880 | 2020-04-23 | Allegany | New York | 36003 | 30 | 0 |
82881 | 82881 | 2020-04-23 | Broome | New York | 36007 | 224 | 10 |
82882 | 82882 | 2020-04-23 | Cattaraugus | New York | 36009 | 37 | 0 |
82883 | 82883 | 2020-04-23 | Cayuga | New York | 36011 | 37 | 1 |
82884 | 82884 | 2020-04-23 | Chautauqua | New York | 36013 | 26 | 1 |
82885 | 82885 | 2020-04-23 | Chemung | New York | 36015 | 76 | 3 |
82886 | 82886 | 2020-04-23 | Chenango | New York | 36017 | 82 | 0 |
82887 | 82887 | 2020-04-23 | Clinton | New York | 36019 | 52 | 4 |
82888 | 82888 | 2020-04-23 | Columbia | New York | 36021 | 123 | 16 |
82889 | 82889 | 2020-04-23 | Cortland | New York | 36023 | 25 | 0 |
82890 | 82890 | 2020-04-23 | Delaware | New York | 36025 | 50 | 0 |
82891 | 82891 | 2020-04-23 | Dutchess | New York | 36027 | 2460 | 60 |
82892 | 82892 | 2020-04-23 | Erie | New York | 36029 | 2450 | 179 |
82893 | 82893 | 2020-04-23 | Essex | New York | 36031 | 22 | 0 |
82894 | 82894 | 2020-04-23 | Franklin | New York | 36033 | 13 | 0 |
82895 | 82895 | 2020-04-23 | Fulton | New York | 36035 | 28 | 0 |
82896 | 82896 | 2020-04-23 | Genesee | New York | 36037 | 126 | 2 |
82897 | 82897 | 2020-04-23 | Greene | New York | 36039 | 89 | 0 |
82898 | 82898 | 2020-04-23 | Hamilton | New York | 36041 | 3 | 0 |
82899 | 82899 | 2020-04-23 | Herkimer | New York | 36043 | 54 | 1 |
82900 | 82900 | 2020-04-23 | Jefferson | New York | 36045 | 56 | 0 |
82901 | 82901 | 2020-04-23 | Lewis | New York | 36049 | 9 | 0 |
82902 | 82902 | 2020-04-23 | Livingston | New York | 36051 | 41 | 2 |
82903 | 82903 | 2020-04-23 | Madison | New York | 36053 | 106 | 3 |
82904 | 82904 | 2020-04-23 | Monroe | New York | 36055 | 1152 | 77 |
82905 | 82905 | 2020-04-23 | Montgomery | New York | 36057 | 39 | 1 |
82906 | 82906 | 2020-04-23 | Nassau | New York | 36059 | 32124 | 1813 |
82907 | 82907 | 2020-04-23 | New York City | New York | 150327 | 15361 | |
82908 | 82908 | 2020-04-23 | Niagara | New York | 36063 | 295 | 11 |
82909 | 82909 | 2020-04-23 | Oneida | New York | 36065 | 317 | 8 |
82910 | 82910 | 2020-04-23 | Onondaga | New York | 36067 | 600 | 28 |
82911 | 82911 | 2020-04-23 | Ontario | New York | 36069 | 73 | 3 |
82912 | 82912 | 2020-04-23 | Orange | New York | 36071 | 6816 | 190 |
82913 | 82913 | 2020-04-23 | Orleans | New York | 36073 | 59 | 2 |
82914 | 82914 | 2020-04-23 | Oswego | New York | 36075 | 49 | 0 |
82915 | 82915 | 2020-04-23 | Otsego | New York | 36077 | 50 | 5 |
82916 | 82916 | 2020-04-23 | Putnam | New York | 36079 | 615 | 41 |
82917 | 82917 | 2020-04-23 | Rensselaer | New York | 36083 | 191 | 12 |
82918 | 82918 | 2020-04-23 | Rockland | New York | 36087 | 9828 | 322 |
82919 | 82919 | 2020-04-23 | Saratoga | New York | 36091 | 265 | 2 |
82920 | 82920 | 2020-04-23 | Schenectady | New York | 36093 | 288 | 20 |
82921 | 82921 | 2020-04-23 | Schoharie | New York | 36095 | 21 | 0 |
82922 | 82922 | 2020-04-23 | Schuyler | New York | 36097 | 7 | 0 |
82923 | 82923 | 2020-04-23 | Seneca | New York | 36099 | 18 | 1 |
82924 | 82924 | 2020-04-23 | St. Lawrence | New York | 36089 | 139 | 1 |
82925 | 82925 | 2020-04-23 | Steuben | New York | 36101 | 171 | 9 |
82926 | 82926 | 2020-04-23 | Suffolk | New York | 36103 | 29567 | 994 |
82927 | 82927 | 2020-04-23 | Sullivan | New York | 36105 | 580 | 8 |
82928 | 82928 | 2020-04-23 | Tioga | New York | 36107 | 40 | 2 |
82929 | 82929 | 2020-04-23 | Tompkins | New York | 36109 | 119 | 2 |
82930 | 82930 | 2020-04-23 | Ulster | New York | 36111 | 942 | 3 |
82931 | 82931 | 2020-04-23 | Warren | New York | 36113 | 119 | 7 |
82932 | 82932 | 2020-04-23 | Washington | New York | 36115 | 80 | 0 |
82933 | 82933 | 2020-04-23 | Wayne | New York | 36117 | 53 | 0 |
82934 | 82934 | 2020-04-23 | Westchester | New York | 36119 | 25959 | 962 |
82935 | 82935 | 2020-04-23 | Wyoming | New York | 36121 | 41 | 3 |
82936 | 82936 | 2020-04-23 | Yates | New York | 36123 | 11 | 1 |
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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);