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 2020-07-22 and state = "New York" sorted by date descending
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fips 58
- 36001 1
- 36003 1
- 36007 1
- 36009 1
- 36011 1
- 36013 1
- 36015 1
- 36017 1
- 36019 1
- 36021 1
- 36023 1
- 36025 1
- 36027 1
- 36029 1
- 36031 1
- 36033 1
- 36035 1
- 36037 1
- 36039 1
- 36041 1
- 36043 1
- 36045 1
- 36049 1
- 36051 1
- 36053 1
- 36055 1
- 36057 1
- 36059 1
- 36063 1
- 36065 1
- 36067 1
- 36069 1
- 36071 1
- 36073 1
- 36075 1
- 36077 1
- 36079 1
- 36083 1
- 36087 1
- 36089 1
- 36091 1
- 36093 1
- 36095 1
- 36097 1
- 36099 1
- 36101 1
- 36103 1
- 36105 1
- 36107 1
- 36109 1
- 36111 1
- 36113 1
- 36115 1
- 36117 1
- 36119 1
- 36121 1
- 36123 1
- - 1
county 58
- 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
- Oneida 1
- Onondaga 1
- Ontario 1
- Orange 1
- Orleans 1
- Oswego 1
- Otsego 1
- Putnam 1
- Rensselaer 1
- Rockland 1
- Saratoga 1
- Schenectady 1
- Schoharie 1
- Schuyler 1
- Seneca 1
- St. Lawrence 1
- Steuben 1
- Suffolk 1
- Sullivan 1
- Tioga 1
- Tompkins 1
- Ulster 1
- Warren 1
- Washington 1
- Wayne 1
- Westchester 1
- Wyoming 1
- Yates 1
state 1
- New York · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
358850 | 358850 | 2020-07-22 | Albany | New York | 36001 | 2369 | 166 |
358851 | 358851 | 2020-07-22 | Allegany | New York | 36003 | 72 | 0 |
358852 | 358852 | 2020-07-22 | Broome | New York | 36007 | 930 | 69 |
358853 | 358853 | 2020-07-22 | Cattaraugus | New York | 36009 | 147 | 5 |
358854 | 358854 | 2020-07-22 | Cayuga | New York | 36011 | 134 | 1 |
358855 | 358855 | 2020-07-22 | Chautauqua | New York | 36013 | 210 | 4 |
358856 | 358856 | 2020-07-22 | Chemung | New York | 36015 | 156 | 5 |
358857 | 358857 | 2020-07-22 | Chenango | New York | 36017 | 191 | 3 |
358858 | 358858 | 2020-07-22 | Clinton | New York | 36019 | 114 | 4 |
358859 | 358859 | 2020-07-22 | Columbia | New York | 36021 | 497 | 43 |
358860 | 358860 | 2020-07-22 | Cortland | New York | 36023 | 77 | 0 |
358861 | 358861 | 2020-07-22 | Delaware | New York | 36025 | 93 | 0 |
358862 | 358862 | 2020-07-22 | Dutchess | New York | 36027 | 4387 | 161 |
358863 | 358863 | 2020-07-22 | Erie | New York | 36029 | 8135 | 614 |
358864 | 358864 | 2020-07-22 | Essex | New York | 36031 | 62 | 0 |
358865 | 358865 | 2020-07-22 | Franklin | New York | 36033 | 42 | 1 |
358866 | 358866 | 2020-07-22 | Fulton | New York | 36035 | 267 | 19 |
358867 | 358867 | 2020-07-22 | Genesee | New York | 36037 | 258 | 6 |
358868 | 358868 | 2020-07-22 | Greene | New York | 36039 | 272 | 5 |
358869 | 358869 | 2020-07-22 | Hamilton | New York | 36041 | 6 | 0 |
358870 | 358870 | 2020-07-22 | Herkimer | New York | 36043 | 211 | 1 |
358871 | 358871 | 2020-07-22 | Jefferson | New York | 36045 | 113 | 0 |
358872 | 358872 | 2020-07-22 | Lewis | New York | 36049 | 33 | 0 |
358873 | 358873 | 2020-07-22 | Livingston | New York | 36051 | 161 | 4 |
358874 | 358874 | 2020-07-22 | Madison | New York | 36053 | 388 | 6 |
358875 | 358875 | 2020-07-22 | Monroe | New York | 36055 | 4493 | 266 |
358876 | 358876 | 2020-07-22 | Montgomery | New York | 36057 | 144 | 5 |
358877 | 358877 | 2020-07-22 | Nassau | New York | 36059 | 42765 | 2705 |
358878 | 358878 | 2020-07-22 | New York City | New York | 227130 | 22899 | |
358879 | 358879 | 2020-07-22 | Niagara | New York | 36063 | 1395 | 68 |
358880 | 358880 | 2020-07-22 | Oneida | New York | 36065 | 1975 | 108 |
358881 | 358881 | 2020-07-22 | Onondaga | New York | 36067 | 3326 | 183 |
358882 | 358882 | 2020-07-22 | Ontario | New York | 36069 | 333 | 26 |
358883 | 358883 | 2020-07-22 | Orange | New York | 36071 | 10975 | 403 |
358884 | 358884 | 2020-07-22 | Orleans | New York | 36073 | 288 | 41 |
358885 | 358885 | 2020-07-22 | Oswego | New York | 36075 | 232 | 0 |
358886 | 358886 | 2020-07-22 | Otsego | New York | 36077 | 101 | 6 |
358887 | 358887 | 2020-07-22 | Putnam | New York | 36079 | 1394 | 61 |
358888 | 358888 | 2020-07-22 | Rensselaer | New York | 36083 | 668 | 39 |
358889 | 358889 | 2020-07-22 | Rockland | New York | 36087 | 13812 | 469 |
358890 | 358890 | 2020-07-22 | Saratoga | New York | 36091 | 650 | 5 |
358891 | 358891 | 2020-07-22 | Schenectady | New York | 36093 | 936 | 34 |
358892 | 358892 | 2020-07-22 | Schoharie | New York | 36095 | 64 | 0 |
358893 | 358893 | 2020-07-22 | Schuyler | New York | 36097 | 20 | 0 |
358894 | 358894 | 2020-07-22 | Seneca | New York | 36099 | 80 | 0 |
358895 | 358895 | 2020-07-22 | St. Lawrence | New York | 36089 | 250 | 4 |
358896 | 358896 | 2020-07-22 | Steuben | New York | 36101 | 283 | 19 |
358897 | 358897 | 2020-07-22 | Suffolk | New York | 36103 | 42621 | 2042 |
358898 | 358898 | 2020-07-22 | Sullivan | New York | 36105 | 1473 | 32 |
358899 | 358899 | 2020-07-22 | Tioga | New York | 36107 | 175 | 19 |
358900 | 358900 | 2020-07-22 | Tompkins | New York | 36109 | 209 | 2 |
358901 | 358901 | 2020-07-22 | Ulster | New York | 36111 | 1909 | 49 |
358902 | 358902 | 2020-07-22 | Warren | New York | 36113 | 288 | 31 |
358903 | 358903 | 2020-07-22 | Washington | New York | 36115 | 251 | 11 |
358904 | 358904 | 2020-07-22 | Wayne | New York | 36117 | 236 | 1 |
358905 | 358905 | 2020-07-22 | Westchester | New York | 36119 | 35635 | 1574 |
358906 | 358906 | 2020-07-22 | Wyoming | New York | 36121 | 108 | 3 |
358907 | 358907 | 2020-07-22 | Yates | New York | 36123 | 51 | 6 |
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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);