ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
45,692 rows where state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
county >30
- New York City 199
- Westchester 196
- Nassau 195
- Rockland 194
- Saratoga 193
- Suffolk 192
- Ulster 192
- Monroe 189
- Albany 188
- Delaware 188
- Dutchess 188
- Herkimer 188
- Orange 188
- Schenectady 187
- Broome 186
- Tioga 186
- Tompkins 186
- Erie 185
- Greene 185
- Montgomery 185
- Putnam 185
- Allegany 184
- Onondaga 184
- Ontario 184
- Clinton 183
- Rensselaer 183
- Sullivan 183
- Wyoming 183
- Chenango 182
- Essex 182
- …
state 1
- New York · 10,602 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
536261 | 536261 | 2020-09-15 | Albany | New York | 36001 | 2936 | 123 |
536262 | 536262 | 2020-09-15 | Allegany | New York | 36003 | 94 | 2 |
536263 | 536263 | 2020-09-15 | Broome | New York | 36007 | 1423 | 85 |
536264 | 536264 | 2020-09-15 | Cattaraugus | New York | 36009 | 242 | 7 |
536265 | 536265 | 2020-09-15 | Cayuga | New York | 36011 | 191 | 2 |
536266 | 536266 | 2020-09-15 | Chautauqua | New York | 36013 | 523 | 4 |
536267 | 536267 | 2020-09-15 | Chemung | New York | 36015 | 269 | 2 |
536268 | 536268 | 2020-09-15 | Chenango | New York | 36017 | 245 | 6 |
536269 | 536269 | 2020-09-15 | Clinton | New York | 36019 | 154 | 5 |
536270 | 536270 | 2020-09-15 | Columbia | New York | 36021 | 577 | 47 |
536271 | 536271 | 2020-09-15 | Cortland | New York | 36023 | 137 | 1 |
536272 | 536272 | 2020-09-15 | Delaware | New York | 36025 | 128 | 4 |
536273 | 536273 | 2020-09-15 | Dutchess | New York | 36027 | 5006 | 155 |
536274 | 536274 | 2020-09-15 | Erie | New York | 36029 | 10716 | 619 |
536275 | 536275 | 2020-09-15 | Essex | New York | 36031 | 161 | 12 |
536276 | 536276 | 2020-09-15 | Franklin | New York | 36033 | 63 | 1 |
536277 | 536277 | 2020-09-15 | Fulton | New York | 36035 | 324 | 28 |
536278 | 536278 | 2020-09-15 | Genesee | New York | 36037 | 307 | 6 |
536279 | 536279 | 2020-09-15 | Greene | New York | 36039 | 318 | 14 |
536280 | 536280 | 2020-09-15 | Hamilton | New York | 36041 | 14 | 1 |
536281 | 536281 | 2020-09-15 | Herkimer | New York | 36043 | 313 | 10 |
536282 | 536282 | 2020-09-15 | Jefferson | New York | 36045 | 158 | 1 |
536283 | 536283 | 2020-09-15 | Lewis | New York | 36049 | 50 | 5 |
536284 | 536284 | 2020-09-15 | Livingston | New York | 36051 | 196 | 6 |
536285 | 536285 | 2020-09-15 | Madison | New York | 36053 | 480 | 9 |
536286 | 536286 | 2020-09-15 | Monroe | New York | 36055 | 5794 | 258 |
536287 | 536287 | 2020-09-15 | Montgomery | New York | 36057 | 218 | 9 |
536288 | 536288 | 2020-09-15 | Nassau | New York | 36059 | 45840 | 2201 |
536289 | 536289 | 2020-09-15 | New York City | New York | 243061 | 23758 | |
536290 | 536290 | 2020-09-15 | Niagara | New York | 36063 | 1693 | 89 |
536291 | 536291 | 2020-09-15 | Oneida | New York | 36065 | 2356 | 120 |
536292 | 536292 | 2020-09-15 | Onondaga | New York | 36067 | 4114 | 180 |
536293 | 536293 | 2020-09-15 | Ontario | New York | 36069 | 444 | 28 |
536294 | 536294 | 2020-09-15 | Orange | New York | 36071 | 11691 | 411 |
536295 | 536295 | 2020-09-15 | Orleans | New York | 36073 | 322 | 55 |
536296 | 536296 | 2020-09-15 | Oswego | New York | 36075 | 402 | 3 |
536297 | 536297 | 2020-09-15 | Otsego | New York | 36077 | 316 | 4 |
536298 | 536298 | 2020-09-15 | Putnam | New York | 36079 | 1564 | 63 |
536299 | 536299 | 2020-09-15 | Rensselaer | New York | 36083 | 884 | 42 |
536300 | 536300 | 2020-09-15 | Rockland | New York | 36087 | 14617 | 509 |
536301 | 536301 | 2020-09-15 | Saratoga | New York | 36091 | 965 | 15 |
536302 | 536302 | 2020-09-15 | Schenectady | New York | 36093 | 1358 | 46 |
536303 | 536303 | 2020-09-15 | Schoharie | New York | 36095 | 83 | 2 |
536304 | 536304 | 2020-09-15 | Schuyler | New York | 36097 | 33 | 0 |
536305 | 536305 | 2020-09-15 | Seneca | New York | 36099 | 104 | 1 |
536306 | 536306 | 2020-09-15 | St. Lawrence | New York | 36089 | 308 | 4 |
536307 | 536307 | 2020-09-15 | Steuben | New York | 36101 | 331 | 39 |
536308 | 536308 | 2020-09-15 | Suffolk | New York | 36103 | 45785 | 2011 |
536309 | 536309 | 2020-09-15 | Sullivan | New York | 36105 | 1559 | 37 |
536310 | 536310 | 2020-09-15 | Tioga | New York | 36107 | 221 | 21 |
536311 | 536311 | 2020-09-15 | Tompkins | New York | 36109 | 384 | 0 |
536312 | 536312 | 2020-09-15 | Ulster | New York | 36111 | 2225 | 83 |
536313 | 536313 | 2020-09-15 | Warren | New York | 36113 | 348 | 30 |
536314 | 536314 | 2020-09-15 | Washington | New York | 36115 | 284 | 14 |
536315 | 536315 | 2020-09-15 | Wayne | New York | 36117 | 304 | 3 |
536316 | 536316 | 2020-09-15 | Westchester | New York | 36119 | 37600 | 1453 |
536317 | 536317 | 2020-09-15 | Wyoming | New York | 36121 | 130 | 5 |
536318 | 536318 | 2020-09-15 | Yates | New York | 36123 | 62 | 6 |
533025 | 533025 | 2020-09-14 | Albany | New York | 36001 | 2921 | 123 |
533026 | 533026 | 2020-09-14 | Allegany | New York | 36003 | 94 | 2 |
533027 | 533027 | 2020-09-14 | Broome | New York | 36007 | 1420 | 85 |
533028 | 533028 | 2020-09-14 | Cattaraugus | New York | 36009 | 242 | 6 |
533029 | 533029 | 2020-09-14 | Cayuga | New York | 36011 | 190 | 2 |
533030 | 533030 | 2020-09-14 | Chautauqua | New York | 36013 | 516 | 4 |
533031 | 533031 | 2020-09-14 | Chemung | New York | 36015 | 251 | 2 |
533032 | 533032 | 2020-09-14 | Chenango | New York | 36017 | 245 | 6 |
533033 | 533033 | 2020-09-14 | Clinton | New York | 36019 | 153 | 5 |
533034 | 533034 | 2020-09-14 | Columbia | New York | 36021 | 577 | 47 |
533035 | 533035 | 2020-09-14 | Cortland | New York | 36023 | 132 | 1 |
533036 | 533036 | 2020-09-14 | Delaware | New York | 36025 | 128 | 4 |
533037 | 533037 | 2020-09-14 | Dutchess | New York | 36027 | 4994 | 154 |
533038 | 533038 | 2020-09-14 | Erie | New York | 36029 | 10668 | 616 |
533039 | 533039 | 2020-09-14 | Essex | New York | 36031 | 159 | 11 |
533040 | 533040 | 2020-09-14 | Franklin | New York | 36033 | 63 | 1 |
533041 | 533041 | 2020-09-14 | Fulton | New York | 36035 | 320 | 28 |
533042 | 533042 | 2020-09-14 | Genesee | New York | 36037 | 307 | 6 |
533043 | 533043 | 2020-09-14 | Greene | New York | 36039 | 318 | 14 |
533044 | 533044 | 2020-09-14 | Hamilton | New York | 36041 | 14 | 1 |
533045 | 533045 | 2020-09-14 | Herkimer | New York | 36043 | 313 | 10 |
533046 | 533046 | 2020-09-14 | Jefferson | New York | 36045 | 158 | 1 |
533047 | 533047 | 2020-09-14 | Lewis | New York | 36049 | 50 | 5 |
533048 | 533048 | 2020-09-14 | Livingston | New York | 36051 | 196 | 6 |
533049 | 533049 | 2020-09-14 | Madison | New York | 36053 | 478 | 9 |
533050 | 533050 | 2020-09-14 | Monroe | New York | 36055 | 5765 | 258 |
533051 | 533051 | 2020-09-14 | Montgomery | New York | 36057 | 218 | 9 |
533052 | 533052 | 2020-09-14 | Nassau | New York | 36059 | 45763 | 2200 |
533053 | 533053 | 2020-09-14 | New York City | New York | 242754 | 23750 | |
533054 | 533054 | 2020-09-14 | Niagara | New York | 36063 | 1689 | 89 |
533055 | 533055 | 2020-09-14 | Oneida | New York | 36065 | 2348 | 120 |
533056 | 533056 | 2020-09-14 | Onondaga | New York | 36067 | 4096 | 180 |
533057 | 533057 | 2020-09-14 | Ontario | New York | 36069 | 443 | 28 |
533058 | 533058 | 2020-09-14 | Orange | New York | 36071 | 11667 | 411 |
533059 | 533059 | 2020-09-14 | Orleans | New York | 36073 | 321 | 55 |
533060 | 533060 | 2020-09-14 | Oswego | New York | 36075 | 390 | 3 |
533061 | 533061 | 2020-09-14 | Otsego | New York | 36077 | 314 | 4 |
533062 | 533062 | 2020-09-14 | Putnam | New York | 36079 | 1561 | 63 |
533063 | 533063 | 2020-09-14 | Rensselaer | New York | 36083 | 879 | 42 |
533064 | 533064 | 2020-09-14 | Rockland | New York | 36087 | 14581 | 509 |
533065 | 533065 | 2020-09-14 | Saratoga | New York | 36091 | 964 | 15 |
533066 | 533066 | 2020-09-14 | Schenectady | New York | 36093 | 1357 | 46 |
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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);