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 2020-07-03 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
298328 | 298328 | 2020-07-03 | Albany | New York | 36001 | 2130 | 160 |
298329 | 298329 | 2020-07-03 | Allegany | New York | 36003 | 63 | 0 |
298330 | 298330 | 2020-07-03 | Broome | New York | 36007 | 736 | 62 |
298331 | 298331 | 2020-07-03 | Cattaraugus | New York | 36009 | 124 | 5 |
298332 | 298332 | 2020-07-03 | Cayuga | New York | 36011 | 120 | 1 |
298333 | 298333 | 2020-07-03 | Chautauqua | New York | 36013 | 129 | 4 |
298334 | 298334 | 2020-07-03 | Chemung | New York | 36015 | 145 | 5 |
298335 | 298335 | 2020-07-03 | Chenango | New York | 36017 | 148 | 3 |
298336 | 298336 | 2020-07-03 | Clinton | New York | 36019 | 101 | 4 |
298337 | 298337 | 2020-07-03 | Columbia | New York | 36021 | 474 | 43 |
298338 | 298338 | 2020-07-03 | Cortland | New York | 36023 | 48 | 0 |
298339 | 298339 | 2020-07-03 | Delaware | New York | 36025 | 91 | 0 |
298340 | 298340 | 2020-07-03 | Dutchess | New York | 36027 | 4231 | 159 |
298341 | 298341 | 2020-07-03 | Erie | New York | 36029 | 7427 | 598 |
298342 | 298342 | 2020-07-03 | Essex | New York | 36031 | 54 | 0 |
298343 | 298343 | 2020-07-03 | Franklin | New York | 36033 | 33 | 0 |
298344 | 298344 | 2020-07-03 | Fulton | New York | 36035 | 261 | 18 |
298345 | 298345 | 2020-07-03 | Genesee | New York | 36037 | 239 | 6 |
298346 | 298346 | 2020-07-03 | Greene | New York | 36039 | 263 | 5 |
298347 | 298347 | 2020-07-03 | Hamilton | New York | 36041 | 6 | 0 |
298348 | 298348 | 2020-07-03 | Herkimer | New York | 36043 | 172 | 1 |
298349 | 298349 | 2020-07-03 | Jefferson | New York | 36045 | 93 | 0 |
298350 | 298350 | 2020-07-03 | Lewis | New York | 36049 | 30 | 0 |
298351 | 298351 | 2020-07-03 | Livingston | New York | 36051 | 130 | 4 |
298352 | 298352 | 2020-07-03 | Madison | New York | 36053 | 360 | 4 |
298353 | 298353 | 2020-07-03 | Monroe | New York | 36055 | 3886 | 262 |
298354 | 298354 | 2020-07-03 | Montgomery | New York | 36057 | 119 | 5 |
298355 | 298355 | 2020-07-03 | Nassau | New York | 36059 | 41947 | 2697 |
298356 | 298356 | 2020-07-03 | New York City | New York | 221028 | 22610 | |
298357 | 298357 | 2020-07-03 | Niagara | New York | 36063 | 1262 | 66 |
298358 | 298358 | 2020-07-03 | Oneida | New York | 36065 | 1708 | 96 |
298359 | 298359 | 2020-07-03 | Onondaga | New York | 36067 | 2909 | 178 |
298360 | 298360 | 2020-07-03 | Ontario | New York | 36069 | 275 | 25 |
298361 | 298361 | 2020-07-03 | Orange | New York | 36071 | 10774 | 401 |
298362 | 298362 | 2020-07-03 | Orleans | New York | 36073 | 282 | 41 |
298363 | 298363 | 2020-07-03 | Oswego | New York | 36075 | 206 | 0 |
298364 | 298364 | 2020-07-03 | Otsego | New York | 36077 | 84 | 6 |
298365 | 298365 | 2020-07-03 | Putnam | New York | 36079 | 1333 | 61 |
298366 | 298366 | 2020-07-03 | Rensselaer | New York | 36083 | 559 | 37 |
298367 | 298367 | 2020-07-03 | Rockland | New York | 36087 | 13623 | 469 |
298368 | 298368 | 2020-07-03 | Saratoga | New York | 36091 | 561 | 5 |
298369 | 298369 | 2020-07-03 | Schenectady | New York | 36093 | 824 | 34 |
298370 | 298370 | 2020-07-03 | Schoharie | New York | 36095 | 58 | 0 |
298371 | 298371 | 2020-07-03 | Schuyler | New York | 36097 | 13 | 0 |
298372 | 298372 | 2020-07-03 | Seneca | New York | 36099 | 70 | 0 |
298373 | 298373 | 2020-07-03 | St. Lawrence | New York | 36089 | 222 | 3 |
298374 | 298374 | 2020-07-03 | Steuben | New York | 36101 | 268 | 19 |
298375 | 298375 | 2020-07-03 | Suffolk | New York | 36103 | 41538 | 2029 |
298376 | 298376 | 2020-07-03 | Sullivan | New York | 36105 | 1455 | 31 |
298377 | 298377 | 2020-07-03 | Tioga | New York | 36107 | 143 | 18 |
298378 | 298378 | 2020-07-03 | Tompkins | New York | 36109 | 178 | 2 |
298379 | 298379 | 2020-07-03 | Ulster | New York | 36111 | 1815 | 49 |
298380 | 298380 | 2020-07-03 | Warren | New York | 36113 | 266 | 31 |
298381 | 298381 | 2020-07-03 | Washington | New York | 36115 | 246 | 11 |
298382 | 298382 | 2020-07-03 | Wayne | New York | 36117 | 181 | 1 |
298383 | 298383 | 2020-07-03 | Westchester | New York | 36119 | 34979 | 1558 |
298384 | 298384 | 2020-07-03 | Wyoming | New York | 36121 | 95 | 3 |
298385 | 298385 | 2020-07-03 | Yates | New York | 36123 | 46 | 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);