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 2020-09-13 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 |
---|---|---|---|---|---|---|---|
529790 | 529790 | 2020-09-13 | Albany | New York | 36001 | 2915 | 123 |
529791 | 529791 | 2020-09-13 | Allegany | New York | 36003 | 94 | 2 |
529792 | 529792 | 2020-09-13 | Broome | New York | 36007 | 1418 | 85 |
529793 | 529793 | 2020-09-13 | Cattaraugus | New York | 36009 | 241 | 6 |
529794 | 529794 | 2020-09-13 | Cayuga | New York | 36011 | 190 | 2 |
529795 | 529795 | 2020-09-13 | Chautauqua | New York | 36013 | 515 | 4 |
529796 | 529796 | 2020-09-13 | Chemung | New York | 36015 | 251 | 2 |
529797 | 529797 | 2020-09-13 | Chenango | New York | 36017 | 245 | 6 |
529798 | 529798 | 2020-09-13 | Clinton | New York | 36019 | 153 | 5 |
529799 | 529799 | 2020-09-13 | Columbia | New York | 36021 | 577 | 47 |
529800 | 529800 | 2020-09-13 | Cortland | New York | 36023 | 128 | 1 |
529801 | 529801 | 2020-09-13 | Delaware | New York | 36025 | 128 | 4 |
529802 | 529802 | 2020-09-13 | Dutchess | New York | 36027 | 4986 | 154 |
529803 | 529803 | 2020-09-13 | Erie | New York | 36029 | 10637 | 615 |
529804 | 529804 | 2020-09-13 | Essex | New York | 36031 | 159 | 11 |
529805 | 529805 | 2020-09-13 | Franklin | New York | 36033 | 63 | 1 |
529806 | 529806 | 2020-09-13 | Fulton | New York | 36035 | 318 | 28 |
529807 | 529807 | 2020-09-13 | Genesee | New York | 36037 | 307 | 6 |
529808 | 529808 | 2020-09-13 | Greene | New York | 36039 | 318 | 14 |
529809 | 529809 | 2020-09-13 | Hamilton | New York | 36041 | 14 | 1 |
529810 | 529810 | 2020-09-13 | Herkimer | New York | 36043 | 313 | 10 |
529811 | 529811 | 2020-09-13 | Jefferson | New York | 36045 | 157 | 1 |
529812 | 529812 | 2020-09-13 | Lewis | New York | 36049 | 50 | 5 |
529813 | 529813 | 2020-09-13 | Livingston | New York | 36051 | 196 | 6 |
529814 | 529814 | 2020-09-13 | Madison | New York | 36053 | 478 | 9 |
529815 | 529815 | 2020-09-13 | Monroe | New York | 36055 | 5728 | 258 |
529816 | 529816 | 2020-09-13 | Montgomery | New York | 36057 | 218 | 9 |
529817 | 529817 | 2020-09-13 | Nassau | New York | 36059 | 45711 | 2200 |
529818 | 529818 | 2020-09-13 | New York City | New York | 242486 | 23743 | |
529819 | 529819 | 2020-09-13 | Niagara | New York | 36063 | 1685 | 89 |
529820 | 529820 | 2020-09-13 | Oneida | New York | 36065 | 2347 | 120 |
529821 | 529821 | 2020-09-13 | Onondaga | New York | 36067 | 4081 | 180 |
529822 | 529822 | 2020-09-13 | Ontario | New York | 36069 | 439 | 28 |
529823 | 529823 | 2020-09-13 | Orange | New York | 36071 | 11650 | 411 |
529824 | 529824 | 2020-09-13 | Orleans | New York | 36073 | 321 | 55 |
529825 | 529825 | 2020-09-13 | Oswego | New York | 36075 | 388 | 3 |
529826 | 529826 | 2020-09-13 | Otsego | New York | 36077 | 314 | 4 |
529827 | 529827 | 2020-09-13 | Putnam | New York | 36079 | 1557 | 63 |
529828 | 529828 | 2020-09-13 | Rensselaer | New York | 36083 | 879 | 42 |
529829 | 529829 | 2020-09-13 | Rockland | New York | 36087 | 14547 | 509 |
529830 | 529830 | 2020-09-13 | Saratoga | New York | 36091 | 961 | 15 |
529831 | 529831 | 2020-09-13 | Schenectady | New York | 36093 | 1356 | 46 |
529832 | 529832 | 2020-09-13 | Schoharie | New York | 36095 | 78 | 2 |
529833 | 529833 | 2020-09-13 | Schuyler | New York | 36097 | 32 | 0 |
529834 | 529834 | 2020-09-13 | Seneca | New York | 36099 | 104 | 1 |
529835 | 529835 | 2020-09-13 | St. Lawrence | New York | 36089 | 304 | 4 |
529836 | 529836 | 2020-09-13 | Steuben | New York | 36101 | 326 | 39 |
529837 | 529837 | 2020-09-13 | Suffolk | New York | 36103 | 45683 | 2009 |
529838 | 529838 | 2020-09-13 | Sullivan | New York | 36105 | 1553 | 37 |
529839 | 529839 | 2020-09-13 | Tioga | New York | 36107 | 219 | 21 |
529840 | 529840 | 2020-09-13 | Tompkins | New York | 36109 | 381 | 0 |
529841 | 529841 | 2020-09-13 | Ulster | New York | 36111 | 2218 | 83 |
529842 | 529842 | 2020-09-13 | Warren | New York | 36113 | 348 | 30 |
529843 | 529843 | 2020-09-13 | Washington | New York | 36115 | 284 | 14 |
529844 | 529844 | 2020-09-13 | Wayne | New York | 36117 | 303 | 3 |
529845 | 529845 | 2020-09-13 | Westchester | New York | 36119 | 37530 | 1452 |
529846 | 529846 | 2020-09-13 | Wyoming | New York | 36121 | 128 | 5 |
529847 | 529847 | 2020-09-13 | Yates | New York | 36123 | 62 | 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);