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 2020-09-27 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 |
---|---|---|---|---|---|---|---|
575128 | 575128 | 2020-09-27 | Albany | New York | 36001 | 3095 | 123 |
575129 | 575129 | 2020-09-27 | Allegany | New York | 36003 | 106 | 2 |
575130 | 575130 | 2020-09-27 | Broome | New York | 36007 | 1572 | 85 |
575131 | 575131 | 2020-09-27 | Cattaraugus | New York | 36009 | 260 | 8 |
575132 | 575132 | 2020-09-27 | Cayuga | New York | 36011 | 215 | 2 |
575133 | 575133 | 2020-09-27 | Chautauqua | New York | 36013 | 573 | 4 |
575134 | 575134 | 2020-09-27 | Chemung | New York | 36015 | 461 | 4 |
575135 | 575135 | 2020-09-27 | Chenango | New York | 36017 | 249 | 6 |
575136 | 575136 | 2020-09-27 | Clinton | New York | 36019 | 160 | 5 |
575137 | 575137 | 2020-09-27 | Columbia | New York | 36021 | 591 | 47 |
575138 | 575138 | 2020-09-27 | Cortland | New York | 36023 | 171 | 1 |
575139 | 575139 | 2020-09-27 | Delaware | New York | 36025 | 134 | 4 |
575140 | 575140 | 2020-09-27 | Dutchess | New York | 36027 | 5120 | 156 |
575141 | 575141 | 2020-09-27 | Erie | New York | 36029 | 11342 | 624 |
575142 | 575142 | 2020-09-27 | Essex | New York | 36031 | 175 | 13 |
575143 | 575143 | 2020-09-27 | Franklin | New York | 36033 | 66 | 1 |
575144 | 575144 | 2020-09-27 | Fulton | New York | 36035 | 335 | 28 |
575145 | 575145 | 2020-09-27 | Genesee | New York | 36037 | 321 | 6 |
575146 | 575146 | 2020-09-27 | Greene | New York | 36039 | 323 | 14 |
575147 | 575147 | 2020-09-27 | Hamilton | New York | 36041 | 15 | 1 |
575148 | 575148 | 2020-09-27 | Herkimer | New York | 36043 | 334 | 10 |
575149 | 575149 | 2020-09-27 | Jefferson | New York | 36045 | 170 | 1 |
575150 | 575150 | 2020-09-27 | Lewis | New York | 36049 | 50 | 5 |
575151 | 575151 | 2020-09-27 | Livingston | New York | 36051 | 207 | 6 |
575152 | 575152 | 2020-09-27 | Madison | New York | 36053 | 493 | 9 |
575153 | 575153 | 2020-09-27 | Monroe | New York | 36055 | 6027 | 259 |
575154 | 575154 | 2020-09-27 | Montgomery | New York | 36057 | 232 | 9 |
575155 | 575155 | 2020-09-27 | Nassau | New York | 36059 | 46643 | 2201 |
575156 | 575156 | 2020-09-27 | New York City | New York | 247384 | 23801 | |
575157 | 575157 | 2020-09-27 | Niagara | New York | 36063 | 1777 | 89 |
575158 | 575158 | 2020-09-27 | Oneida | New York | 36065 | 2412 | 122 |
575159 | 575159 | 2020-09-27 | Onondaga | New York | 36067 | 4365 | 181 |
575160 | 575160 | 2020-09-27 | Ontario | New York | 36069 | 473 | 28 |
575161 | 575161 | 2020-09-27 | Orange | New York | 36071 | 12051 | 413 |
575162 | 575162 | 2020-09-27 | Orleans | New York | 36073 | 335 | 55 |
575163 | 575163 | 2020-09-27 | Oswego | New York | 36075 | 493 | 3 |
575164 | 575164 | 2020-09-27 | Otsego | New York | 36077 | 338 | 4 |
575165 | 575165 | 2020-09-27 | Putnam | New York | 36079 | 1599 | 63 |
575166 | 575166 | 2020-09-27 | Rensselaer | New York | 36083 | 911 | 42 |
575167 | 575167 | 2020-09-27 | Rockland | New York | 36087 | 15167 | 509 |
575168 | 575168 | 2020-09-27 | Saratoga | New York | 36091 | 1044 | 15 |
575169 | 575169 | 2020-09-27 | Schenectady | New York | 36093 | 1402 | 46 |
575170 | 575170 | 2020-09-27 | Schoharie | New York | 36095 | 85 | 2 |
575171 | 575171 | 2020-09-27 | Schuyler | New York | 36097 | 41 | 0 |
575172 | 575172 | 2020-09-27 | Seneca | New York | 36099 | 106 | 1 |
575173 | 575173 | 2020-09-27 | St. Lawrence | New York | 36089 | 322 | 4 |
575174 | 575174 | 2020-09-27 | Steuben | New York | 36101 | 416 | 41 |
575175 | 575175 | 2020-09-27 | Suffolk | New York | 36103 | 46387 | 2013 |
575176 | 575176 | 2020-09-27 | Sullivan | New York | 36105 | 1591 | 37 |
575177 | 575177 | 2020-09-27 | Tioga | New York | 36107 | 235 | 21 |
575178 | 575178 | 2020-09-27 | Tompkins | New York | 36109 | 413 | 0 |
575179 | 575179 | 2020-09-27 | Ulster | New York | 36111 | 2260 | 84 |
575180 | 575180 | 2020-09-27 | Warren | New York | 36113 | 381 | 30 |
575181 | 575181 | 2020-09-27 | Washington | New York | 36115 | 296 | 14 |
575182 | 575182 | 2020-09-27 | Wayne | New York | 36117 | 318 | 3 |
575183 | 575183 | 2020-09-27 | Westchester | New York | 36119 | 38097 | 1456 |
575184 | 575184 | 2020-09-27 | Wyoming | New York | 36121 | 137 | 5 |
575185 | 575185 | 2020-09-27 | Yates | New York | 36123 | 64 | 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);