ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
45,692 rows where state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
county >30
- New York City 122
- Westchester 120
- Nassau 118
- Rockland 117
- Saratoga 116
- Suffolk 116
- Ulster 116
- Monroe 112
- Albany 111
- Delaware 111
- Dutchess 111
- Herkimer 111
- Orange 111
- Schenectady 110
- Tioga 110
- Tompkins 110
- Broome 109
- Erie 108
- Greene 108
- Montgomery 108
- Putnam 108
- Allegany 107
- Onondaga 107
- Ontario 107
- Sullivan 107
- Wyoming 107
- Clinton 106
- Rensselaer 106
- Warren 106
- Washington 106
- …
state 1
- New York · 6,152 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
292055 | 292055 | 2020-07-01 | Schoharie | New York | 36095 | 58 | 0 |
292056 | 292056 | 2020-07-01 | Schuyler | New York | 36097 | 13 | 0 |
292057 | 292057 | 2020-07-01 | Seneca | New York | 36099 | 70 | 0 |
292058 | 292058 | 2020-07-01 | St. Lawrence | New York | 36089 | 219 | 3 |
292059 | 292059 | 2020-07-01 | Steuben | New York | 36101 | 268 | 19 |
292060 | 292060 | 2020-07-01 | Suffolk | New York | 36103 | 41427 | 2028 |
292061 | 292061 | 2020-07-01 | Sullivan | New York | 36105 | 1452 | 31 |
292062 | 292062 | 2020-07-01 | Tioga | New York | 36107 | 143 | 18 |
292063 | 292063 | 2020-07-01 | Tompkins | New York | 36109 | 177 | 2 |
292064 | 292064 | 2020-07-01 | Ulster | New York | 36111 | 1782 | 49 |
292065 | 292065 | 2020-07-01 | Warren | New York | 36113 | 263 | 31 |
292066 | 292066 | 2020-07-01 | Washington | New York | 36115 | 246 | 11 |
292067 | 292067 | 2020-07-01 | Wayne | New York | 36117 | 174 | 1 |
292068 | 292068 | 2020-07-01 | Westchester | New York | 36119 | 34865 | 1558 |
292069 | 292069 | 2020-07-01 | Wyoming | New York | 36121 | 95 | 3 |
292070 | 292070 | 2020-07-01 | Yates | New York | 36123 | 46 | 6 |
288861 | 288861 | 2020-06-30 | Albany | New York | 36001 | 2102 | 159 |
288862 | 288862 | 2020-06-30 | Allegany | New York | 36003 | 59 | 0 |
288863 | 288863 | 2020-06-30 | Broome | New York | 36007 | 716 | 61 |
288864 | 288864 | 2020-06-30 | Cattaraugus | New York | 36009 | 123 | 5 |
288865 | 288865 | 2020-06-30 | Cayuga | New York | 36011 | 115 | 1 |
288866 | 288866 | 2020-06-30 | Chautauqua | New York | 36013 | 127 | 4 |
288867 | 288867 | 2020-06-30 | Chemung | New York | 36015 | 141 | 5 |
288868 | 288868 | 2020-06-30 | Chenango | New York | 36017 | 146 | 3 |
288869 | 288869 | 2020-06-30 | Clinton | New York | 36019 | 101 | 4 |
288870 | 288870 | 2020-06-30 | Columbia | New York | 36021 | 464 | 43 |
288871 | 288871 | 2020-06-30 | Cortland | New York | 36023 | 47 | 0 |
288872 | 288872 | 2020-06-30 | Delaware | New York | 36025 | 91 | 0 |
288873 | 288873 | 2020-06-30 | Dutchess | New York | 36027 | 4207 | 159 |
288874 | 288874 | 2020-06-30 | Erie | New York | 36029 | 7292 | 596 |
288875 | 288875 | 2020-06-30 | Essex | New York | 36031 | 50 | 0 |
288876 | 288876 | 2020-06-30 | Franklin | New York | 36033 | 30 | 0 |
288877 | 288877 | 2020-06-30 | Fulton | New York | 36035 | 256 | 18 |
288878 | 288878 | 2020-06-30 | Genesee | New York | 36037 | 238 | 6 |
288879 | 288879 | 2020-06-30 | Greene | New York | 36039 | 260 | 5 |
288880 | 288880 | 2020-06-30 | Hamilton | New York | 36041 | 6 | 0 |
288881 | 288881 | 2020-06-30 | Herkimer | New York | 36043 | 159 | 1 |
288882 | 288882 | 2020-06-30 | Jefferson | New York | 36045 | 86 | 0 |
288883 | 288883 | 2020-06-30 | Lewis | New York | 36049 | 30 | 0 |
288884 | 288884 | 2020-06-30 | Livingston | New York | 36051 | 129 | 4 |
288885 | 288885 | 2020-06-30 | Madison | New York | 36053 | 357 | 4 |
288886 | 288886 | 2020-06-30 | Monroe | New York | 36055 | 3743 | 261 |
288887 | 288887 | 2020-06-30 | Montgomery | New York | 36057 | 118 | 5 |
288888 | 288888 | 2020-06-30 | Nassau | New York | 36059 | 41807 | 2693 |
288889 | 288889 | 2020-06-30 | New York City | New York | 219844 | 22566 | |
288890 | 288890 | 2020-06-30 | Niagara | New York | 36063 | 1234 | 66 |
288891 | 288891 | 2020-06-30 | Oneida | New York | 36065 | 1627 | 92 |
288892 | 288892 | 2020-06-30 | Onondaga | New York | 36067 | 2842 | 178 |
288893 | 288893 | 2020-06-30 | Ontario | New York | 36069 | 259 | 25 |
288894 | 288894 | 2020-06-30 | Orange | New York | 36071 | 10738 | 399 |
288895 | 288895 | 2020-06-30 | Orleans | New York | 36073 | 281 | 41 |
288896 | 288896 | 2020-06-30 | Oswego | New York | 36075 | 197 | 0 |
288897 | 288897 | 2020-06-30 | Otsego | New York | 36077 | 84 | 6 |
288898 | 288898 | 2020-06-30 | Putnam | New York | 36079 | 1326 | 61 |
288899 | 288899 | 2020-06-30 | Rensselaer | New York | 36083 | 553 | 37 |
288900 | 288900 | 2020-06-30 | Rockland | New York | 36087 | 13590 | 469 |
288901 | 288901 | 2020-06-30 | Saratoga | New York | 36091 | 549 | 5 |
288902 | 288902 | 2020-06-30 | Schenectady | New York | 36093 | 800 | 34 |
288903 | 288903 | 2020-06-30 | Schoharie | New York | 36095 | 58 | 0 |
288904 | 288904 | 2020-06-30 | Schuyler | New York | 36097 | 12 | 0 |
288905 | 288905 | 2020-06-30 | Seneca | New York | 36099 | 69 | 0 |
288906 | 288906 | 2020-06-30 | St. Lawrence | New York | 36089 | 219 | 3 |
288907 | 288907 | 2020-06-30 | Steuben | New York | 36101 | 266 | 19 |
288908 | 288908 | 2020-06-30 | Suffolk | New York | 36103 | 41385 | 2028 |
288909 | 288909 | 2020-06-30 | Sullivan | New York | 36105 | 1451 | 31 |
288910 | 288910 | 2020-06-30 | Tioga | New York | 36107 | 143 | 18 |
288911 | 288911 | 2020-06-30 | Tompkins | New York | 36109 | 177 | 2 |
288912 | 288912 | 2020-06-30 | Ulster | New York | 36111 | 1781 | 49 |
288913 | 288913 | 2020-06-30 | Warren | New York | 36113 | 263 | 31 |
288914 | 288914 | 2020-06-30 | Washington | New York | 36115 | 246 | 11 |
288915 | 288915 | 2020-06-30 | Wayne | New York | 36117 | 170 | 1 |
288916 | 288916 | 2020-06-30 | Westchester | New York | 36119 | 34837 | 1558 |
288917 | 288917 | 2020-06-30 | Wyoming | New York | 36121 | 95 | 3 |
288918 | 288918 | 2020-06-30 | Yates | New York | 36123 | 46 | 6 |
285711 | 285711 | 2020-06-29 | Albany | New York | 36001 | 2099 | 159 |
285712 | 285712 | 2020-06-29 | Allegany | New York | 36003 | 59 | 0 |
285713 | 285713 | 2020-06-29 | Broome | New York | 36007 | 710 | 61 |
285714 | 285714 | 2020-06-29 | Cattaraugus | New York | 36009 | 123 | 5 |
285715 | 285715 | 2020-06-29 | Cayuga | New York | 36011 | 114 | 1 |
285716 | 285716 | 2020-06-29 | Chautauqua | New York | 36013 | 123 | 4 |
285717 | 285717 | 2020-06-29 | Chemung | New York | 36015 | 140 | 5 |
285718 | 285718 | 2020-06-29 | Chenango | New York | 36017 | 146 | 3 |
285719 | 285719 | 2020-06-29 | Clinton | New York | 36019 | 101 | 4 |
285720 | 285720 | 2020-06-29 | Columbia | New York | 36021 | 463 | 43 |
285721 | 285721 | 2020-06-29 | Cortland | New York | 36023 | 47 | 0 |
285722 | 285722 | 2020-06-29 | Delaware | New York | 36025 | 91 | 0 |
285723 | 285723 | 2020-06-29 | Dutchess | New York | 36027 | 4201 | 159 |
285724 | 285724 | 2020-06-29 | Erie | New York | 36029 | 7249 | 594 |
285725 | 285725 | 2020-06-29 | Essex | New York | 36031 | 50 | 0 |
285726 | 285726 | 2020-06-29 | Franklin | New York | 36033 | 30 | 0 |
285727 | 285727 | 2020-06-29 | Fulton | New York | 36035 | 256 | 18 |
285728 | 285728 | 2020-06-29 | Genesee | New York | 36037 | 238 | 6 |
285729 | 285729 | 2020-06-29 | Greene | New York | 36039 | 260 | 5 |
285730 | 285730 | 2020-06-29 | Hamilton | New York | 36041 | 6 | 0 |
285731 | 285731 | 2020-06-29 | Herkimer | New York | 36043 | 159 | 1 |
285732 | 285732 | 2020-06-29 | Jefferson | New York | 36045 | 86 | 0 |
285733 | 285733 | 2020-06-29 | Lewis | New York | 36049 | 30 | 0 |
285734 | 285734 | 2020-06-29 | Livingston | New York | 36051 | 128 | 4 |
285735 | 285735 | 2020-06-29 | Madison | New York | 36053 | 353 | 4 |
285736 | 285736 | 2020-06-29 | Monroe | New York | 36055 | 3710 | 261 |
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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);