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 2020-07-17 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
342840 | 342840 | 2020-07-17 | Albany | New York | 36001 | 2310 | 162 |
342841 | 342841 | 2020-07-17 | Allegany | New York | 36003 | 71 | 0 |
342842 | 342842 | 2020-07-17 | Broome | New York | 36007 | 870 | 69 |
342843 | 342843 | 2020-07-17 | Cattaraugus | New York | 36009 | 145 | 5 |
342844 | 342844 | 2020-07-17 | Cayuga | New York | 36011 | 129 | 1 |
342845 | 342845 | 2020-07-17 | Chautauqua | New York | 36013 | 192 | 4 |
342846 | 342846 | 2020-07-17 | Chemung | New York | 36015 | 151 | 5 |
342847 | 342847 | 2020-07-17 | Chenango | New York | 36017 | 181 | 3 |
342848 | 342848 | 2020-07-17 | Clinton | New York | 36019 | 111 | 4 |
342849 | 342849 | 2020-07-17 | Columbia | New York | 36021 | 490 | 43 |
342850 | 342850 | 2020-07-17 | Cortland | New York | 36023 | 67 | 0 |
342851 | 342851 | 2020-07-17 | Delaware | New York | 36025 | 92 | 0 |
342852 | 342852 | 2020-07-17 | Dutchess | New York | 36027 | 4363 | 161 |
342853 | 342853 | 2020-07-17 | Erie | New York | 36029 | 7982 | 608 |
342854 | 342854 | 2020-07-17 | Essex | New York | 36031 | 59 | 0 |
342855 | 342855 | 2020-07-17 | Franklin | New York | 36033 | 39 | 1 |
342856 | 342856 | 2020-07-17 | Fulton | New York | 36035 | 266 | 18 |
342857 | 342857 | 2020-07-17 | Genesee | New York | 36037 | 254 | 6 |
342858 | 342858 | 2020-07-17 | Greene | New York | 36039 | 271 | 5 |
342859 | 342859 | 2020-07-17 | Hamilton | New York | 36041 | 6 | 0 |
342860 | 342860 | 2020-07-17 | Herkimer | New York | 36043 | 204 | 1 |
342861 | 342861 | 2020-07-17 | Jefferson | New York | 36045 | 103 | 0 |
342862 | 342862 | 2020-07-17 | Lewis | New York | 36049 | 32 | 0 |
342863 | 342863 | 2020-07-17 | Livingston | New York | 36051 | 155 | 4 |
342864 | 342864 | 2020-07-17 | Madison | New York | 36053 | 379 | 6 |
342865 | 342865 | 2020-07-17 | Monroe | New York | 36055 | 4354 | 264 |
342866 | 342866 | 2020-07-17 | Montgomery | New York | 36057 | 141 | 5 |
342867 | 342867 | 2020-07-17 | Nassau | New York | 36059 | 42555 | 2704 |
342868 | 342868 | 2020-07-17 | New York City | New York | 225414 | 22848 | |
342869 | 342869 | 2020-07-17 | Niagara | New York | 36063 | 1371 | 67 |
342870 | 342870 | 2020-07-17 | Oneida | New York | 36065 | 1909 | 105 |
342871 | 342871 | 2020-07-17 | Onondaga | New York | 36067 | 3240 | 181 |
342872 | 342872 | 2020-07-17 | Ontario | New York | 36069 | 319 | 26 |
342873 | 342873 | 2020-07-17 | Orange | New York | 36071 | 10923 | 403 |
342874 | 342874 | 2020-07-17 | Orleans | New York | 36073 | 288 | 41 |
342875 | 342875 | 2020-07-17 | Oswego | New York | 36075 | 227 | 0 |
342876 | 342876 | 2020-07-17 | Otsego | New York | 36077 | 94 | 6 |
342877 | 342877 | 2020-07-17 | Putnam | New York | 36079 | 1386 | 61 |
342878 | 342878 | 2020-07-17 | Rensselaer | New York | 36083 | 643 | 38 |
342879 | 342879 | 2020-07-17 | Rockland | New York | 36087 | 13775 | 469 |
342880 | 342880 | 2020-07-17 | Saratoga | New York | 36091 | 630 | 5 |
342881 | 342881 | 2020-07-17 | Schenectady | New York | 36093 | 902 | 34 |
342882 | 342882 | 2020-07-17 | Schoharie | New York | 36095 | 62 | 0 |
342883 | 342883 | 2020-07-17 | Schuyler | New York | 36097 | 15 | 0 |
342884 | 342884 | 2020-07-17 | Seneca | New York | 36099 | 77 | 0 |
342885 | 342885 | 2020-07-17 | St. Lawrence | New York | 36089 | 238 | 4 |
342886 | 342886 | 2020-07-17 | Steuben | New York | 36101 | 279 | 19 |
342887 | 342887 | 2020-07-17 | Suffolk | New York | 36103 | 42382 | 2040 |
342888 | 342888 | 2020-07-17 | Sullivan | New York | 36105 | 1469 | 31 |
342889 | 342889 | 2020-07-17 | Tioga | New York | 36107 | 168 | 19 |
342890 | 342890 | 2020-07-17 | Tompkins | New York | 36109 | 198 | 2 |
342891 | 342891 | 2020-07-17 | Ulster | New York | 36111 | 1898 | 49 |
342892 | 342892 | 2020-07-17 | Warren | New York | 36113 | 286 | 31 |
342893 | 342893 | 2020-07-17 | Washington | New York | 36115 | 250 | 11 |
342894 | 342894 | 2020-07-17 | Wayne | New York | 36117 | 223 | 1 |
342895 | 342895 | 2020-07-17 | Westchester | New York | 36119 | 35462 | 1568 |
342896 | 342896 | 2020-07-17 | Wyoming | New York | 36121 | 103 | 3 |
342897 | 342897 | 2020-07-17 | 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);