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 2020-10-30 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 |
---|---|---|---|---|---|---|---|
682152 | 682152 | 2020-10-30 | Albany | New York | 36001 | 3705 | 128 |
682153 | 682153 | 2020-10-30 | Allegany | New York | 36003 | 336 | 12 |
682154 | 682154 | 2020-10-30 | Broome | New York | 36007 | 3662 | 103 |
682155 | 682155 | 2020-10-30 | Cattaraugus | New York | 36009 | 527 | 19 |
682156 | 682156 | 2020-10-30 | Cayuga | New York | 36011 | 429 | 3 |
682157 | 682157 | 2020-10-30 | Chautauqua | New York | 36013 | 976 | 4 |
682158 | 682158 | 2020-10-30 | Chemung | New York | 36015 | 1797 | 17 |
682159 | 682159 | 2020-10-30 | Chenango | New York | 36017 | 413 | 7 |
682160 | 682160 | 2020-10-30 | Clinton | New York | 36019 | 255 | 5 |
682161 | 682161 | 2020-10-30 | Columbia | New York | 36021 | 723 | 50 |
682162 | 682162 | 2020-10-30 | Cortland | New York | 36023 | 567 | 1 |
682163 | 682163 | 2020-10-30 | Delaware | New York | 36025 | 181 | 6 |
682164 | 682164 | 2020-10-30 | Dutchess | New York | 36027 | 5525 | 165 |
682165 | 682165 | 2020-10-30 | Erie | New York | 36029 | 13262 | 653 |
682166 | 682166 | 2020-10-30 | Essex | New York | 36031 | 207 | 14 |
682167 | 682167 | 2020-10-30 | Franklin | New York | 36033 | 82 | 1 |
682168 | 682168 | 2020-10-30 | Fulton | New York | 36035 | 365 | 28 |
682169 | 682169 | 2020-10-30 | Genesee | New York | 36037 | 406 | 6 |
682170 | 682170 | 2020-10-30 | Greene | New York | 36039 | 510 | 15 |
682171 | 682171 | 2020-10-30 | Hamilton | New York | 36041 | 18 | 1 |
682172 | 682172 | 2020-10-30 | Herkimer | New York | 36043 | 394 | 10 |
682173 | 682173 | 2020-10-30 | Jefferson | New York | 36045 | 214 | 1 |
682174 | 682174 | 2020-10-30 | Lewis | New York | 36049 | 139 | 5 |
682175 | 682175 | 2020-10-30 | Livingston | New York | 36051 | 327 | 6 |
682176 | 682176 | 2020-10-30 | Madison | New York | 36053 | 577 | 9 |
682177 | 682177 | 2020-10-30 | Monroe | New York | 36055 | 7494 | 261 |
682178 | 682178 | 2020-10-30 | Montgomery | New York | 36057 | 272 | 9 |
682179 | 682179 | 2020-10-30 | Nassau | New York | 36059 | 50007 | 2216 |
682180 | 682180 | 2020-10-30 | New York City | New York | 267227 | 23996 | |
682181 | 682181 | 2020-10-30 | Niagara | New York | 36063 | 2108 | 90 |
682182 | 682182 | 2020-10-30 | Oneida | New York | 36065 | 2784 | 129 |
682183 | 682183 | 2020-10-30 | Onondaga | New York | 36067 | 5603 | 186 |
682184 | 682184 | 2020-10-30 | Ontario | New York | 36069 | 697 | 29 |
682185 | 682185 | 2020-10-30 | Orange | New York | 36071 | 13758 | 420 |
682186 | 682186 | 2020-10-30 | Orleans | New York | 36073 | 413 | 55 |
682187 | 682187 | 2020-10-30 | Oswego | New York | 36075 | 639 | 4 |
682188 | 682188 | 2020-10-30 | Otsego | New York | 36077 | 410 | 5 |
682189 | 682189 | 2020-10-30 | Putnam | New York | 36079 | 1833 | 64 |
682190 | 682190 | 2020-10-30 | Rensselaer | New York | 36083 | 1111 | 43 |
682191 | 682191 | 2020-10-30 | Rockland | New York | 36087 | 18110 | 513 |
682192 | 682192 | 2020-10-30 | Saratoga | New York | 36091 | 1383 | 17 |
682193 | 682193 | 2020-10-30 | Schenectady | New York | 36093 | 1591 | 48 |
682194 | 682194 | 2020-10-30 | Schoharie | New York | 36095 | 113 | 2 |
682195 | 682195 | 2020-10-30 | Schuyler | New York | 36097 | 139 | 3 |
682196 | 682196 | 2020-10-30 | Seneca | New York | 36099 | 148 | 2 |
682197 | 682197 | 2020-10-30 | St. Lawrence | New York | 36089 | 409 | 4 |
682198 | 682198 | 2020-10-30 | Steuben | New York | 36101 | 1041 | 70 |
682199 | 682199 | 2020-10-30 | Suffolk | New York | 36103 | 49300 | 2021 |
682200 | 682200 | 2020-10-30 | Sullivan | New York | 36105 | 1800 | 37 |
682201 | 682201 | 2020-10-30 | Tioga | New York | 36107 | 672 | 32 |
682202 | 682202 | 2020-10-30 | Tompkins | New York | 36109 | 639 | 0 |
682203 | 682203 | 2020-10-30 | Ulster | New York | 36111 | 2538 | 86 |
682204 | 682204 | 2020-10-30 | Warren | New York | 36113 | 461 | 30 |
682205 | 682205 | 2020-10-30 | Washington | New York | 36115 | 340 | 14 |
682206 | 682206 | 2020-10-30 | Wayne | New York | 36117 | 530 | 4 |
682207 | 682207 | 2020-10-30 | Westchester | New York | 36119 | 40680 | 1473 |
682208 | 682208 | 2020-10-30 | Wyoming | New York | 36121 | 196 | 5 |
682209 | 682209 | 2020-10-30 | Yates | New York | 36123 | 128 | 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);