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 2022-02-27 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 |
---|---|---|---|---|---|---|---|
2257341 | 2257341 | 2022-02-27 | Albany | New York | 36001 | 57904 | 502 |
2257342 | 2257342 | 2022-02-27 | Allegany | New York | 36003 | 8791 | 148 |
2257343 | 2257343 | 2022-02-27 | Broome | New York | 36007 | 44310 | 506 |
2257344 | 2257344 | 2022-02-27 | Cattaraugus | New York | 36009 | 15149 | 215 |
2257345 | 2257345 | 2022-02-27 | Cayuga | New York | 36011 | 15607 | 143 |
2257346 | 2257346 | 2022-02-27 | Chautauqua | New York | 36013 | 23307 | 286 |
2257347 | 2257347 | 2022-02-27 | Chemung | New York | 36015 | 20933 | 225 |
2257348 | 2257348 | 2022-02-27 | Chenango | New York | 36017 | 9131 | 117 |
2257349 | 2257349 | 2022-02-27 | Clinton | New York | 36019 | 16260 | 81 |
2257350 | 2257350 | 2022-02-27 | Columbia | New York | 36021 | 9870 | 140 |
2257351 | 2257351 | 2022-02-27 | Cortland | New York | 36023 | 10283 | 113 |
2257352 | 2257352 | 2022-02-27 | Delaware | New York | 36025 | 7546 | 68 |
2257353 | 2257353 | 2022-02-27 | Dutchess | New York | 36027 | 63162 | 648 |
2257354 | 2257354 | 2022-02-27 | Erie | New York | 36029 | 205629 | 2582 |
2257355 | 2257355 | 2022-02-27 | Essex | New York | 36031 | 5457 | 56 |
2257356 | 2257356 | 2022-02-27 | Franklin | New York | 36033 | 9043 | 44 |
2257357 | 2257357 | 2022-02-27 | Fulton | New York | 36035 | 12254 | 165 |
2257358 | 2257358 | 2022-02-27 | Genesee | New York | 36037 | 13521 | 183 |
2257359 | 2257359 | 2022-02-27 | Greene | New York | 36039 | 8430 | 119 |
2257360 | 2257360 | 2022-02-27 | Hamilton | New York | 36041 | 833 | 5 |
2257361 | 2257361 | 2022-02-27 | Herkimer | New York | 36043 | 13518 | 188 |
2257362 | 2257362 | 2022-02-27 | Jefferson | New York | 36045 | 19583 | 130 |
2257363 | 2257363 | 2022-02-27 | Lewis | New York | 36049 | 6085 | 47 |
2257364 | 2257364 | 2022-02-27 | Livingston | New York | 36051 | 11464 | 111 |
2257365 | 2257365 | 2022-02-27 | Madison | New York | 36053 | 12687 | 124 |
2257366 | 2257366 | 2022-02-27 | Monroe | New York | 36055 | 149211 | 1537 |
2257367 | 2257367 | 2022-02-27 | Montgomery | New York | 36057 | 11652 | 197 |
2257368 | 2257368 | 2022-02-27 | Nassau | New York | 36059 | 398199 | 3801 |
2257369 | 2257369 | 2022-02-27 | New York City | New York | 2277403 | 39783 | |
2257370 | 2257370 | 2022-02-27 | Niagara | New York | 36063 | 47179 | 560 |
2257371 | 2257371 | 2022-02-27 | Oneida | New York | 36065 | 52118 | 772 |
2257372 | 2257372 | 2022-02-27 | Onondaga | New York | 36067 | 106938 | 1027 |
2257373 | 2257373 | 2022-02-27 | Ontario | New York | 36069 | 19444 | 170 |
2257374 | 2257374 | 2022-02-27 | Orange | New York | 36071 | 105326 | 937 |
2257375 | 2257375 | 2022-02-27 | Orleans | New York | 36073 | 8524 | 111 |
2257376 | 2257376 | 2022-02-27 | Oswego | New York | 36075 | 24954 | 177 |
2257377 | 2257377 | 2022-02-27 | Otsego | New York | 36077 | 9638 | 88 |
2257378 | 2257378 | 2022-02-27 | Putnam | New York | 36079 | 23294 | 121 |
2257379 | 2257379 | 2022-02-27 | Rensselaer | New York | 36083 | 30802 | 243 |
2257380 | 2257380 | 2022-02-27 | Rockland | New York | 36087 | 91154 | 890 |
2257381 | 2257381 | 2022-02-27 | Saratoga | New York | 36091 | 45059 | 318 |
2257382 | 2257382 | 2022-02-27 | Schenectady | New York | 36093 | 32316 | 294 |
2257383 | 2257383 | 2022-02-27 | Schoharie | New York | 36095 | 4895 | 34 |
2257384 | 2257384 | 2022-02-27 | Schuyler | New York | 36097 | 3376 | 24 |
2257385 | 2257385 | 2022-02-27 | Seneca | New York | 36099 | 5743 | 89 |
2257386 | 2257386 | 2022-02-27 | St. Lawrence | New York | 36089 | 20443 | 176 |
2257387 | 2257387 | 2022-02-27 | Steuben | New York | 36101 | 19489 | 238 |
2257388 | 2257388 | 2022-02-27 | Suffolk | New York | 36103 | 422503 | 4338 |
2257389 | 2257389 | 2022-02-27 | Sullivan | New York | 36105 | 18172 | 125 |
2257390 | 2257390 | 2022-02-27 | Tioga | New York | 36107 | 10483 | 82 |
2257391 | 2257391 | 2022-02-27 | Tompkins | New York | 36109 | 17395 | 82 |
2257392 | 2257392 | 2022-02-27 | Ulster | New York | 36111 | 30799 | 359 |
2257393 | 2257393 | 2022-02-27 | Warren | New York | 36113 | 13253 | 122 |
2257394 | 2257394 | 2022-02-27 | Washington | New York | 36115 | 11832 | 112 |
2257395 | 2257395 | 2022-02-27 | Wayne | New York | 36117 | 16875 | 167 |
2257396 | 2257396 | 2022-02-27 | Westchester | New York | 36119 | 246495 | 2685 |
2257397 | 2257397 | 2022-02-27 | Wyoming | New York | 36121 | 8219 | 82 |
2257398 | 2257398 | 2022-02-27 | Yates | New York | 36123 | 3289 | 39 |
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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);