ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
58 rows where date = "2020-09-02" and state = "New York" sorted by date descending
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Suggested facets: date (date)
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 |
---|---|---|---|---|---|---|---|
494211 | 494211 | 2020-09-02 | Albany | New York | 36001 | 2791 | 122 |
494212 | 494212 | 2020-09-02 | Allegany | New York | 36003 | 89 | 2 |
494213 | 494213 | 2020-09-02 | Broome | New York | 36007 | 1315 | 83 |
494214 | 494214 | 2020-09-02 | Cattaraugus | New York | 36009 | 216 | 6 |
494215 | 494215 | 2020-09-02 | Cayuga | New York | 36011 | 180 | 2 |
494216 | 494216 | 2020-09-02 | Chautauqua | New York | 36013 | 428 | 4 |
494217 | 494217 | 2020-09-02 | Chemung | New York | 36015 | 205 | 2 |
494218 | 494218 | 2020-09-02 | Chenango | New York | 36017 | 229 | 6 |
494219 | 494219 | 2020-09-02 | Clinton | New York | 36019 | 151 | 5 |
494220 | 494220 | 2020-09-02 | Columbia | New York | 36021 | 570 | 47 |
494221 | 494221 | 2020-09-02 | Cortland | New York | 36023 | 102 | 1 |
494222 | 494222 | 2020-09-02 | Delaware | New York | 36025 | 120 | 4 |
494223 | 494223 | 2020-09-02 | Dutchess | New York | 36027 | 4878 | 153 |
494224 | 494224 | 2020-09-02 | Erie | New York | 36029 | 10017 | 607 |
494225 | 494225 | 2020-09-02 | Essex | New York | 36031 | 143 | 6 |
494226 | 494226 | 2020-09-02 | Franklin | New York | 36033 | 58 | 1 |
494227 | 494227 | 2020-09-02 | Fulton | New York | 36035 | 311 | 28 |
494228 | 494228 | 2020-09-02 | Genesee | New York | 36037 | 297 | 6 |
494229 | 494229 | 2020-09-02 | Greene | New York | 36039 | 310 | 14 |
494230 | 494230 | 2020-09-02 | Hamilton | New York | 36041 | 14 | 1 |
494231 | 494231 | 2020-09-02 | Herkimer | New York | 36043 | 303 | 10 |
494232 | 494232 | 2020-09-02 | Jefferson | New York | 36045 | 150 | 1 |
494233 | 494233 | 2020-09-02 | Lewis | New York | 36049 | 49 | 5 |
494234 | 494234 | 2020-09-02 | Livingston | New York | 36051 | 184 | 6 |
494235 | 494235 | 2020-09-02 | Madison | New York | 36053 | 461 | 9 |
494236 | 494236 | 2020-09-02 | Monroe | New York | 36055 | 5469 | 257 |
494237 | 494237 | 2020-09-02 | Montgomery | New York | 36057 | 208 | 8 |
494238 | 494238 | 2020-09-02 | Nassau | New York | 36059 | 44845 | 2198 |
494239 | 494239 | 2020-09-02 | New York City | New York | 239512 | 23708 | |
494240 | 494240 | 2020-09-02 | Niagara | New York | 36063 | 1632 | 89 |
494241 | 494241 | 2020-09-02 | Oneida | New York | 36065 | 2283 | 120 |
494242 | 494242 | 2020-09-02 | Onondaga | New York | 36067 | 3922 | 179 |
494243 | 494243 | 2020-09-02 | Ontario | New York | 36069 | 393 | 28 |
494244 | 494244 | 2020-09-02 | Orange | New York | 36071 | 11475 | 409 |
494245 | 494245 | 2020-09-02 | Orleans | New York | 36073 | 306 | 55 |
494246 | 494246 | 2020-09-02 | Oswego | New York | 36075 | 307 | 3 |
494247 | 494247 | 2020-09-02 | Otsego | New York | 36077 | 189 | 4 |
494248 | 494248 | 2020-09-02 | Putnam | New York | 36079 | 1510 | 63 |
494249 | 494249 | 2020-09-02 | Rensselaer | New York | 36083 | 844 | 42 |
494250 | 494250 | 2020-09-02 | Rockland | New York | 36087 | 14305 | 508 |
494251 | 494251 | 2020-09-02 | Saratoga | New York | 36091 | 852 | 15 |
494252 | 494252 | 2020-09-02 | Schenectady | New York | 36093 | 1278 | 43 |
494253 | 494253 | 2020-09-02 | Schoharie | New York | 36095 | 70 | 2 |
494254 | 494254 | 2020-09-02 | Schuyler | New York | 36097 | 26 | 0 |
494255 | 494255 | 2020-09-02 | Seneca | New York | 36099 | 100 | 1 |
494256 | 494256 | 2020-09-02 | St. Lawrence | New York | 36089 | 279 | 4 |
494257 | 494257 | 2020-09-02 | Steuben | New York | 36101 | 315 | 39 |
494258 | 494258 | 2020-09-02 | Suffolk | New York | 36103 | 44940 | 2003 |
494259 | 494259 | 2020-09-02 | Sullivan | New York | 36105 | 1534 | 37 |
494260 | 494260 | 2020-09-02 | Tioga | New York | 36107 | 209 | 21 |
494261 | 494261 | 2020-09-02 | Tompkins | New York | 36109 | 280 | 0 |
494262 | 494262 | 2020-09-02 | Ulster | New York | 36111 | 2178 | 82 |
494263 | 494263 | 2020-09-02 | Warren | New York | 36113 | 322 | 30 |
494264 | 494264 | 2020-09-02 | Washington | New York | 36115 | 268 | 14 |
494265 | 494265 | 2020-09-02 | Wayne | New York | 36117 | 281 | 3 |
494266 | 494266 | 2020-09-02 | Westchester | New York | 36119 | 37056 | 1452 |
494267 | 494267 | 2020-09-02 | Wyoming | New York | 36121 | 126 | 5 |
494268 | 494268 | 2020-09-02 | 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);