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 124
- Westchester 121
- Nassau 120
- Rockland 119
- Saratoga 118
- Suffolk 117
- Ulster 117
- Monroe 114
- Albany 113
- Delaware 113
- Dutchess 113
- Herkimer 113
- Orange 113
- Schenectady 112
- Broome 111
- Tioga 111
- Tompkins 111
- Erie 110
- Greene 110
- Montgomery 110
- Putnam 110
- Allegany 109
- Onondaga 109
- Ontario 109
- Clinton 108
- Rensselaer 108
- Sullivan 108
- Wyoming 108
- Chenango 107
- Essex 107
- …
state 1
- New York · 6,252 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
295168 | 295168 | 2020-07-02 | Albany | New York | 36001 | 2125 | 160 |
295169 | 295169 | 2020-07-02 | Allegany | New York | 36003 | 62 | 0 |
295170 | 295170 | 2020-07-02 | Broome | New York | 36007 | 729 | 62 |
295171 | 295171 | 2020-07-02 | Cattaraugus | New York | 36009 | 124 | 5 |
295172 | 295172 | 2020-07-02 | Cayuga | New York | 36011 | 119 | 1 |
295173 | 295173 | 2020-07-02 | Chautauqua | New York | 36013 | 127 | 4 |
295174 | 295174 | 2020-07-02 | Chemung | New York | 36015 | 144 | 5 |
295175 | 295175 | 2020-07-02 | Chenango | New York | 36017 | 148 | 3 |
295176 | 295176 | 2020-07-02 | Clinton | New York | 36019 | 101 | 4 |
295177 | 295177 | 2020-07-02 | Columbia | New York | 36021 | 472 | 43 |
295178 | 295178 | 2020-07-02 | Cortland | New York | 36023 | 47 | 0 |
295179 | 295179 | 2020-07-02 | Delaware | New York | 36025 | 91 | 0 |
295180 | 295180 | 2020-07-02 | Dutchess | New York | 36027 | 4225 | 159 |
295181 | 295181 | 2020-07-02 | Erie | New York | 36029 | 7370 | 598 |
295182 | 295182 | 2020-07-02 | Essex | New York | 36031 | 50 | 0 |
295183 | 295183 | 2020-07-02 | Franklin | New York | 36033 | 32 | 0 |
295184 | 295184 | 2020-07-02 | Fulton | New York | 36035 | 260 | 18 |
295185 | 295185 | 2020-07-02 | Genesee | New York | 36037 | 238 | 6 |
295186 | 295186 | 2020-07-02 | Greene | New York | 36039 | 260 | 5 |
295187 | 295187 | 2020-07-02 | Hamilton | New York | 36041 | 6 | 0 |
295188 | 295188 | 2020-07-02 | Herkimer | New York | 36043 | 164 | 1 |
295189 | 295189 | 2020-07-02 | Jefferson | New York | 36045 | 90 | 0 |
295190 | 295190 | 2020-07-02 | Lewis | New York | 36049 | 30 | 0 |
295191 | 295191 | 2020-07-02 | Livingston | New York | 36051 | 130 | 4 |
295192 | 295192 | 2020-07-02 | Madison | New York | 36053 | 359 | 4 |
295193 | 295193 | 2020-07-02 | Monroe | New York | 36055 | 3834 | 262 |
295194 | 295194 | 2020-07-02 | Montgomery | New York | 36057 | 119 | 5 |
295195 | 295195 | 2020-07-02 | Nassau | New York | 36059 | 41910 | 2695 |
295196 | 295196 | 2020-07-02 | New York City | New York | 220567 | 22593 | |
295197 | 295197 | 2020-07-02 | Niagara | New York | 36063 | 1248 | 66 |
295198 | 295198 | 2020-07-02 | Oneida | New York | 36065 | 1672 | 93 |
295199 | 295199 | 2020-07-02 | Onondaga | New York | 36067 | 2897 | 178 |
295200 | 295200 | 2020-07-02 | Ontario | New York | 36069 | 268 | 25 |
295201 | 295201 | 2020-07-02 | Orange | New York | 36071 | 10759 | 401 |
295202 | 295202 | 2020-07-02 | Orleans | New York | 36073 | 282 | 41 |
295203 | 295203 | 2020-07-02 | Oswego | New York | 36075 | 206 | 0 |
295204 | 295204 | 2020-07-02 | Otsego | New York | 36077 | 84 | 6 |
295205 | 295205 | 2020-07-02 | Putnam | New York | 36079 | 1332 | 61 |
295206 | 295206 | 2020-07-02 | Rensselaer | New York | 36083 | 556 | 37 |
295207 | 295207 | 2020-07-02 | Rockland | New York | 36087 | 13612 | 469 |
295208 | 295208 | 2020-07-02 | Saratoga | New York | 36091 | 555 | 5 |
295209 | 295209 | 2020-07-02 | Schenectady | New York | 36093 | 816 | 34 |
295210 | 295210 | 2020-07-02 | Schoharie | New York | 36095 | 58 | 0 |
295211 | 295211 | 2020-07-02 | Schuyler | New York | 36097 | 13 | 0 |
295212 | 295212 | 2020-07-02 | Seneca | New York | 36099 | 70 | 0 |
295213 | 295213 | 2020-07-02 | St. Lawrence | New York | 36089 | 220 | 3 |
295214 | 295214 | 2020-07-02 | Steuben | New York | 36101 | 268 | 19 |
295215 | 295215 | 2020-07-02 | Suffolk | New York | 36103 | 41491 | 2028 |
295216 | 295216 | 2020-07-02 | Sullivan | New York | 36105 | 1453 | 31 |
295217 | 295217 | 2020-07-02 | Tioga | New York | 36107 | 143 | 18 |
295218 | 295218 | 2020-07-02 | Tompkins | New York | 36109 | 178 | 2 |
295219 | 295219 | 2020-07-02 | Ulster | New York | 36111 | 1790 | 49 |
295220 | 295220 | 2020-07-02 | Warren | New York | 36113 | 264 | 31 |
295221 | 295221 | 2020-07-02 | Washington | New York | 36115 | 246 | 11 |
295222 | 295222 | 2020-07-02 | Wayne | New York | 36117 | 176 | 1 |
295223 | 295223 | 2020-07-02 | Westchester | New York | 36119 | 34911 | 1559 |
295224 | 295224 | 2020-07-02 | Wyoming | New York | 36121 | 95 | 3 |
295225 | 295225 | 2020-07-02 | Yates | New York | 36123 | 46 | 6 |
292013 | 292013 | 2020-07-01 | Albany | New York | 36001 | 2112 | 160 |
292014 | 292014 | 2020-07-01 | Allegany | New York | 36003 | 61 | 0 |
292015 | 292015 | 2020-07-01 | Broome | New York | 36007 | 722 | 61 |
292016 | 292016 | 2020-07-01 | Cattaraugus | New York | 36009 | 123 | 5 |
292017 | 292017 | 2020-07-01 | Cayuga | New York | 36011 | 119 | 1 |
292018 | 292018 | 2020-07-01 | Chautauqua | New York | 36013 | 127 | 4 |
292019 | 292019 | 2020-07-01 | Chemung | New York | 36015 | 144 | 5 |
292020 | 292020 | 2020-07-01 | Chenango | New York | 36017 | 146 | 3 |
292021 | 292021 | 2020-07-01 | Clinton | New York | 36019 | 101 | 4 |
292022 | 292022 | 2020-07-01 | Columbia | New York | 36021 | 466 | 43 |
292023 | 292023 | 2020-07-01 | Cortland | New York | 36023 | 47 | 0 |
292024 | 292024 | 2020-07-01 | Delaware | New York | 36025 | 91 | 0 |
292025 | 292025 | 2020-07-01 | Dutchess | New York | 36027 | 4213 | 159 |
292026 | 292026 | 2020-07-01 | Erie | New York | 36029 | 7337 | 597 |
292027 | 292027 | 2020-07-01 | Essex | New York | 36031 | 50 | 0 |
292028 | 292028 | 2020-07-01 | Franklin | New York | 36033 | 31 | 0 |
292029 | 292029 | 2020-07-01 | Fulton | New York | 36035 | 257 | 18 |
292030 | 292030 | 2020-07-01 | Genesee | New York | 36037 | 238 | 6 |
292031 | 292031 | 2020-07-01 | Greene | New York | 36039 | 260 | 5 |
292032 | 292032 | 2020-07-01 | Hamilton | New York | 36041 | 6 | 0 |
292033 | 292033 | 2020-07-01 | Herkimer | New York | 36043 | 162 | 1 |
292034 | 292034 | 2020-07-01 | Jefferson | New York | 36045 | 88 | 0 |
292035 | 292035 | 2020-07-01 | Lewis | New York | 36049 | 30 | 0 |
292036 | 292036 | 2020-07-01 | Livingston | New York | 36051 | 130 | 4 |
292037 | 292037 | 2020-07-01 | Madison | New York | 36053 | 357 | 4 |
292038 | 292038 | 2020-07-01 | Monroe | New York | 36055 | 3781 | 262 |
292039 | 292039 | 2020-07-01 | Montgomery | New York | 36057 | 118 | 5 |
292040 | 292040 | 2020-07-01 | Nassau | New York | 36059 | 41853 | 2694 |
292041 | 292041 | 2020-07-01 | New York City | New York | 220143 | 22574 | |
292042 | 292042 | 2020-07-01 | Niagara | New York | 36063 | 1237 | 66 |
292043 | 292043 | 2020-07-01 | Oneida | New York | 36065 | 1642 | 93 |
292044 | 292044 | 2020-07-01 | Onondaga | New York | 36067 | 2863 | 178 |
292045 | 292045 | 2020-07-01 | Ontario | New York | 36069 | 265 | 25 |
292046 | 292046 | 2020-07-01 | Orange | New York | 36071 | 10745 | 401 |
292047 | 292047 | 2020-07-01 | Orleans | New York | 36073 | 281 | 41 |
292048 | 292048 | 2020-07-01 | Oswego | New York | 36075 | 201 | 0 |
292049 | 292049 | 2020-07-01 | Otsego | New York | 36077 | 84 | 6 |
292050 | 292050 | 2020-07-01 | Putnam | New York | 36079 | 1329 | 61 |
292051 | 292051 | 2020-07-01 | Rensselaer | New York | 36083 | 555 | 37 |
292052 | 292052 | 2020-07-01 | Rockland | New York | 36087 | 13602 | 469 |
292053 | 292053 | 2020-07-01 | Saratoga | New York | 36091 | 550 | 5 |
292054 | 292054 | 2020-07-01 | Schenectady | New York | 36093 | 805 | 34 |
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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);