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 2020-07-02 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 |
---|---|---|---|---|---|---|---|
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 |
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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);