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 2022-01-02 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 |
---|---|---|---|---|---|---|---|
2075211 | 2075211 | 2022-01-02 | Albany | New York | 36001 | 42229 | 439 |
2075212 | 2075212 | 2022-01-02 | Allegany | New York | 36003 | 7023 | 137 |
2075213 | 2075213 | 2022-01-02 | Broome | New York | 36007 | 34296 | 467 |
2075214 | 2075214 | 2022-01-02 | Cattaraugus | New York | 36009 | 11612 | 189 |
2075215 | 2075215 | 2022-01-02 | Cayuga | New York | 36011 | 11622 | 120 |
2075216 | 2075216 | 2022-01-02 | Chautauqua | New York | 36013 | 17963 | 226 |
2075217 | 2075217 | 2022-01-02 | Chemung | New York | 36015 | 15384 | 194 |
2075218 | 2075218 | 2022-01-02 | Chenango | New York | 36017 | 6837 | 101 |
2075219 | 2075219 | 2022-01-02 | Clinton | New York | 36019 | 10170 | 58 |
2075220 | 2075220 | 2022-01-02 | Columbia | New York | 36021 | 7114 | 121 |
2075221 | 2075221 | 2022-01-02 | Cortland | New York | 36023 | 7444 | 92 |
2075222 | 2075222 | 2022-01-02 | Delaware | New York | 36025 | 5605 | 59 |
2075223 | 2075223 | 2022-01-02 | Dutchess | New York | 36027 | 47166 | 537 |
2075224 | 2075224 | 2022-01-02 | Erie | New York | 36029 | 152780 | 2247 |
2075225 | 2075225 | 2022-01-02 | Essex | New York | 36031 | 3833 | 48 |
2075226 | 2075226 | 2022-01-02 | Franklin | New York | 36033 | 6549 | 31 |
2075227 | 2075227 | 2022-01-02 | Fulton | New York | 36035 | 9163 | 133 |
2075228 | 2075228 | 2022-01-02 | Genesee | New York | 36037 | 10332 | 162 |
2075229 | 2075229 | 2022-01-02 | Greene | New York | 36039 | 6286 | 98 |
2075230 | 2075230 | 2022-01-02 | Hamilton | New York | 36041 | 635 | 4 |
2075231 | 2075231 | 2022-01-02 | Herkimer | New York | 36043 | 10313 | 160 |
2075232 | 2075232 | 2022-01-02 | Jefferson | New York | 36045 | 13437 | 118 |
2075233 | 2075233 | 2022-01-02 | Lewis | New York | 36049 | 4810 | 41 |
2075234 | 2075234 | 2022-01-02 | Livingston | New York | 36051 | 8636 | 93 |
2075235 | 2075235 | 2022-01-02 | Madison | New York | 36053 | 9306 | 117 |
2075236 | 2075236 | 2022-01-02 | Monroe | New York | 36055 | 116229 | 1353 |
2075237 | 2075237 | 2022-01-02 | Montgomery | New York | 36057 | 8506 | 177 |
2075238 | 2075238 | 2022-01-02 | Nassau | New York | 36059 | 308406 | 3417 |
2075239 | 2075239 | 2022-01-02 | New York City | New York | 1630332 | 35448 | |
2075240 | 2075240 | 2022-01-02 | Niagara | New York | 36063 | 35216 | 476 |
2075241 | 2075241 | 2022-01-02 | Oneida | New York | 36065 | 39998 | 704 |
2075242 | 2075242 | 2022-01-02 | Onondaga | New York | 36067 | 72921 | 887 |
2075243 | 2075243 | 2022-01-02 | Ontario | New York | 36069 | 14386 | 145 |
2075244 | 2075244 | 2022-01-02 | Orange | New York | 36071 | 79148 | 834 |
2075245 | 2075245 | 2022-01-02 | Orleans | New York | 36073 | 6533 | 104 |
2075246 | 2075246 | 2022-01-02 | Oswego | New York | 36075 | 17574 | 148 |
2075247 | 2075247 | 2022-01-02 | Otsego | New York | 36077 | 6733 | 71 |
2075248 | 2075248 | 2022-01-02 | Putnam | New York | 36079 | 17569 | 106 |
2075249 | 2075249 | 2022-01-02 | Rensselaer | New York | 36083 | 21708 | 215 |
2075250 | 2075250 | 2022-01-02 | Rockland | New York | 36087 | 69087 | 807 |
2075251 | 2075251 | 2022-01-02 | Saratoga | New York | 36091 | 31796 | 267 |
2075252 | 2075252 | 2022-01-02 | Schenectady | New York | 36093 | 23195 | 267 |
2075253 | 2075253 | 2022-01-02 | Schoharie | New York | 36095 | 3503 | 29 |
2075254 | 2075254 | 2022-01-02 | Schuyler | New York | 36097 | 2450 | 23 |
2075255 | 2075255 | 2022-01-02 | Seneca | New York | 36099 | 4049 | 80 |
2075256 | 2075256 | 2022-01-02 | St. Lawrence | New York | 36089 | 15370 | 159 |
2075257 | 2075257 | 2022-01-02 | Steuben | New York | 36101 | 14875 | 216 |
2075258 | 2075258 | 2022-01-02 | Suffolk | New York | 36103 | 332956 | 3813 |
2075259 | 2075259 | 2022-01-02 | Sullivan | New York | 36105 | 12747 | 103 |
2075260 | 2075260 | 2022-01-02 | Tioga | New York | 36107 | 7827 | 78 |
2075261 | 2075261 | 2022-01-02 | Tompkins | New York | 36109 | 11888 | 71 |
2075262 | 2075262 | 2022-01-02 | Ulster | New York | 36111 | 22855 | 313 |
2075263 | 2075263 | 2022-01-02 | Warren | New York | 36113 | 9336 | 105 |
2075264 | 2075264 | 2022-01-02 | Washington | New York | 36115 | 8502 | 91 |
2075265 | 2075265 | 2022-01-02 | Wayne | New York | 36117 | 12530 | 127 |
2075266 | 2075266 | 2022-01-02 | Westchester | New York | 36119 | 190045 | 2416 |
2075267 | 2075267 | 2022-01-02 | Wyoming | New York | 36121 | 6345 | 74 |
2075268 | 2075268 | 2022-01-02 | Yates | New York | 36123 | 2429 | 36 |
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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);