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 2020-10-02 and state = "New York" sorted by date descending
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Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
591331 | 591331 | 2020-10-02 | Albany | New York | 36001 | 3153 | 123 |
591332 | 591332 | 2020-10-02 | Allegany | New York | 36003 | 122 | 4 |
591333 | 591333 | 2020-10-02 | Broome | New York | 36007 | 1786 | 85 |
591334 | 591334 | 2020-10-02 | Cattaraugus | New York | 36009 | 290 | 9 |
591335 | 591335 | 2020-10-02 | Cayuga | New York | 36011 | 224 | 2 |
591336 | 591336 | 2020-10-02 | Chautauqua | New York | 36013 | 604 | 4 |
591337 | 591337 | 2020-10-02 | Chemung | New York | 36015 | 591 | 5 |
591338 | 591338 | 2020-10-02 | Chenango | New York | 36017 | 257 | 6 |
591339 | 591339 | 2020-10-02 | Clinton | New York | 36019 | 164 | 5 |
591340 | 591340 | 2020-10-02 | Columbia | New York | 36021 | 604 | 47 |
591341 | 591341 | 2020-10-02 | Cortland | New York | 36023 | 198 | 1 |
591342 | 591342 | 2020-10-02 | Delaware | New York | 36025 | 138 | 5 |
591343 | 591343 | 2020-10-02 | Dutchess | New York | 36027 | 5165 | 157 |
591344 | 591344 | 2020-10-02 | Erie | New York | 36029 | 11637 | 627 |
591345 | 591345 | 2020-10-02 | Essex | New York | 36031 | 177 | 14 |
591346 | 591346 | 2020-10-02 | Franklin | New York | 36033 | 66 | 1 |
591347 | 591347 | 2020-10-02 | Fulton | New York | 36035 | 344 | 28 |
591348 | 591348 | 2020-10-02 | Genesee | New York | 36037 | 336 | 6 |
591349 | 591349 | 2020-10-02 | Greene | New York | 36039 | 334 | 15 |
591350 | 591350 | 2020-10-02 | Hamilton | New York | 36041 | 15 | 1 |
591351 | 591351 | 2020-10-02 | Herkimer | New York | 36043 | 342 | 10 |
591352 | 591352 | 2020-10-02 | Jefferson | New York | 36045 | 174 | 1 |
591353 | 591353 | 2020-10-02 | Lewis | New York | 36049 | 51 | 5 |
591354 | 591354 | 2020-10-02 | Livingston | New York | 36051 | 209 | 6 |
591355 | 591355 | 2020-10-02 | Madison | New York | 36053 | 501 | 9 |
591356 | 591356 | 2020-10-02 | Monroe | New York | 36055 | 6161 | 260 |
591357 | 591357 | 2020-10-02 | Montgomery | New York | 36057 | 236 | 9 |
591358 | 591358 | 2020-10-02 | Nassau | New York | 36059 | 47034 | 2202 |
591359 | 591359 | 2020-10-02 | New York City | New York | 249874 | 23846 | |
591360 | 591360 | 2020-10-02 | Niagara | New York | 36063 | 1809 | 89 |
591361 | 591361 | 2020-10-02 | Oneida | New York | 36065 | 2462 | 123 |
591362 | 591362 | 2020-10-02 | Onondaga | New York | 36067 | 4494 | 182 |
591363 | 591363 | 2020-10-02 | Ontario | New York | 36069 | 484 | 28 |
591364 | 591364 | 2020-10-02 | Orange | New York | 36071 | 12288 | 413 |
591365 | 591365 | 2020-10-02 | Orleans | New York | 36073 | 336 | 55 |
591366 | 591366 | 2020-10-02 | Oswego | New York | 36075 | 514 | 3 |
591367 | 591367 | 2020-10-02 | Otsego | New York | 36077 | 344 | 4 |
591368 | 591368 | 2020-10-02 | Putnam | New York | 36079 | 1637 | 63 |
591369 | 591369 | 2020-10-02 | Rensselaer | New York | 36083 | 931 | 42 |
591370 | 591370 | 2020-10-02 | Rockland | New York | 36087 | 15849 | 509 |
591371 | 591371 | 2020-10-02 | Saratoga | New York | 36091 | 1083 | 15 |
591372 | 591372 | 2020-10-02 | Schenectady | New York | 36093 | 1420 | 46 |
591373 | 591373 | 2020-10-02 | Schoharie | New York | 36095 | 85 | 2 |
591374 | 591374 | 2020-10-02 | Schuyler | New York | 36097 | 49 | 0 |
591375 | 591375 | 2020-10-02 | Seneca | New York | 36099 | 110 | 1 |
591376 | 591376 | 2020-10-02 | St. Lawrence | New York | 36089 | 331 | 4 |
591377 | 591377 | 2020-10-02 | Steuben | New York | 36101 | 499 | 44 |
591378 | 591378 | 2020-10-02 | Suffolk | New York | 36103 | 46667 | 2015 |
591379 | 591379 | 2020-10-02 | Sullivan | New York | 36105 | 1610 | 37 |
591380 | 591380 | 2020-10-02 | Tioga | New York | 36107 | 261 | 23 |
591381 | 591381 | 2020-10-02 | Tompkins | New York | 36109 | 432 | 0 |
591382 | 591382 | 2020-10-02 | Ulster | New York | 36111 | 2293 | 84 |
591383 | 591383 | 2020-10-02 | Warren | New York | 36113 | 395 | 30 |
591384 | 591384 | 2020-10-02 | Washington | New York | 36115 | 305 | 14 |
591385 | 591385 | 2020-10-02 | Wayne | New York | 36117 | 331 | 3 |
591386 | 591386 | 2020-10-02 | Westchester | New York | 36119 | 38345 | 1456 |
591387 | 591387 | 2020-10-02 | Wyoming | New York | 36121 | 137 | 5 |
591388 | 591388 | 2020-10-02 | Yates | New York | 36123 | 65 | 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);