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 326
- Westchester 323
- Nassau 322
- Rockland 321
- Saratoga 320
- Suffolk 319
- Ulster 319
- Monroe 316
- Albany 315
- Delaware 315
- Dutchess 315
- Herkimer 315
- Orange 315
- Schenectady 314
- Broome 313
- Tioga 313
- Tompkins 313
- Erie 312
- Greene 312
- Montgomery 312
- Putnam 312
- Allegany 311
- Onondaga 311
- Ontario 311
- Clinton 310
- Rensselaer 310
- Sullivan 310
- Wyoming 310
- Chenango 309
- Essex 309
- …
state 1
- New York · 17,968 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
948247 | 948247 | 2021-01-20 | Albany | New York | 36001 | 16521 | 260 |
948248 | 948248 | 2021-01-20 | Allegany | New York | 36003 | 2375 | 75 |
948249 | 948249 | 2021-01-20 | Broome | New York | 36007 | 11255 | 260 |
948250 | 948250 | 2021-01-20 | Cattaraugus | New York | 36009 | 3427 | 61 |
948251 | 948251 | 2021-01-20 | Cayuga | New York | 36011 | 4474 | 71 |
948252 | 948252 | 2021-01-20 | Chautauqua | New York | 36013 | 5660 | 64 |
948253 | 948253 | 2021-01-20 | Chemung | New York | 36015 | 5643 | 108 |
948254 | 948254 | 2021-01-20 | Chenango | New York | 36017 | 1795 | 44 |
948255 | 948255 | 2021-01-20 | Clinton | New York | 36019 | 2209 | 18 |
948256 | 948256 | 2021-01-20 | Columbia | New York | 36021 | 2524 | 72 |
948257 | 948257 | 2021-01-20 | Cortland | New York | 36023 | 2668 | 54 |
948258 | 948258 | 2021-01-20 | Delaware | New York | 36025 | 1029 | 23 |
948259 | 948259 | 2021-01-20 | Dutchess | New York | 36027 | 16963 | 322 |
948260 | 948260 | 2021-01-20 | Erie | New York | 36029 | 52473 | 1390 |
948261 | 948261 | 2021-01-20 | Essex | New York | 36031 | 996 | 19 |
948262 | 948262 | 2021-01-20 | Franklin | New York | 36033 | 1164 | 9 |
948263 | 948263 | 2021-01-20 | Fulton | New York | 36035 | 2140 | 53 |
948264 | 948264 | 2021-01-20 | Genesee | New York | 36037 | 3689 | 100 |
948265 | 948265 | 2021-01-20 | Greene | New York | 36039 | 2078 | 60 |
948266 | 948266 | 2021-01-20 | Hamilton | New York | 36041 | 147 | 1 |
948267 | 948267 | 2021-01-20 | Herkimer | New York | 36043 | 3682 | 59 |
948268 | 948268 | 2021-01-20 | Jefferson | New York | 36045 | 3272 | 24 |
948269 | 948269 | 2021-01-20 | Lewis | New York | 36049 | 1540 | 24 |
948270 | 948270 | 2021-01-20 | Livingston | New York | 36051 | 2737 | 42 |
948271 | 948271 | 2021-01-20 | Madison | New York | 36053 | 3173 | 76 |
948272 | 948272 | 2021-01-20 | Monroe | New York | 36055 | 44632 | 780 |
948273 | 948273 | 2021-01-20 | Montgomery | New York | 36057 | 2265 | 75 |
948274 | 948274 | 2021-01-20 | Nassau | New York | 36059 | 116065 | 2581 |
948275 | 948275 | 2021-01-20 | New York City | New York | 546195 | 26249 | |
948276 | 948276 | 2021-01-20 | Niagara | New York | 36063 | 12229 | 248 |
948277 | 948277 | 2021-01-20 | Oneida | New York | 36065 | 16976 | 352 |
948278 | 948278 | 2021-01-20 | Onondaga | New York | 36067 | 27948 | 535 |
948279 | 948279 | 2021-01-20 | Ontario | New York | 36069 | 4770 | 82 |
948280 | 948280 | 2021-01-20 | Orange | New York | 36071 | 29093 | 574 |
948281 | 948281 | 2021-01-20 | Orleans | New York | 36073 | 1945 | 69 |
948282 | 948282 | 2021-01-20 | Oswego | New York | 36075 | 4961 | 69 |
948283 | 948283 | 2021-01-20 | Otsego | New York | 36077 | 1738 | 23 |
948284 | 948284 | 2021-01-20 | Putnam | New York | 36079 | 6576 | 75 |
948285 | 948285 | 2021-01-20 | Rensselaer | New York | 36083 | 6965 | 106 |
948286 | 948286 | 2021-01-20 | Rockland | New York | 36087 | 32137 | 626 |
948287 | 948287 | 2021-01-20 | Saratoga | New York | 36091 | 9375 | 83 |
948288 | 948288 | 2021-01-20 | Schenectady | New York | 36093 | 8770 | 128 |
948289 | 948289 | 2021-01-20 | Schoharie | New York | 36095 | 914 | 5 |
948290 | 948290 | 2021-01-20 | Schuyler | New York | 36097 | 724 | 10 |
948291 | 948291 | 2021-01-20 | Seneca | New York | 36099 | 1239 | 46 |
948292 | 948292 | 2021-01-20 | St. Lawrence | New York | 36089 | 3685 | 63 |
948293 | 948293 | 2021-01-20 | Steuben | New York | 36101 | 4632 | 131 |
948294 | 948294 | 2021-01-20 | Suffolk | New York | 36103 | 129804 | 2624 |
948295 | 948295 | 2021-01-20 | Sullivan | New York | 36105 | 3887 | 49 |
948296 | 948296 | 2021-01-20 | Tioga | New York | 36107 | 2228 | 54 |
948297 | 948297 | 2021-01-20 | Tompkins | New York | 36109 | 2707 | 24 |
948298 | 948298 | 2021-01-20 | Ulster | New York | 36111 | 7822 | 196 |
948299 | 948299 | 2021-01-20 | Warren | New York | 36113 | 2119 | 42 |
948300 | 948300 | 2021-01-20 | Washington | New York | 36115 | 1542 | 24 |
948301 | 948301 | 2021-01-20 | Wayne | New York | 36117 | 3722 | 54 |
948302 | 948302 | 2021-01-20 | Westchester | New York | 36119 | 85722 | 1819 |
948303 | 948303 | 2021-01-20 | Wyoming | New York | 36121 | 2212 | 44 |
948304 | 948304 | 2021-01-20 | Yates | New York | 36123 | 835 | 19 |
945000 | 945000 | 2021-01-19 | Albany | New York | 36001 | 16343 | 257 |
945001 | 945001 | 2021-01-19 | Allegany | New York | 36003 | 2366 | 75 |
945002 | 945002 | 2021-01-19 | Broome | New York | 36007 | 11108 | 259 |
945003 | 945003 | 2021-01-19 | Cattaraugus | New York | 36009 | 3400 | 61 |
945004 | 945004 | 2021-01-19 | Cayuga | New York | 36011 | 4432 | 70 |
945005 | 945005 | 2021-01-19 | Chautauqua | New York | 36013 | 5601 | 63 |
945006 | 945006 | 2021-01-19 | Chemung | New York | 36015 | 5603 | 108 |
945007 | 945007 | 2021-01-19 | Chenango | New York | 36017 | 1758 | 42 |
945008 | 945008 | 2021-01-19 | Clinton | New York | 36019 | 2180 | 18 |
945009 | 945009 | 2021-01-19 | Columbia | New York | 36021 | 2495 | 71 |
945010 | 945010 | 2021-01-19 | Cortland | New York | 36023 | 2642 | 54 |
945011 | 945011 | 2021-01-19 | Delaware | New York | 36025 | 1009 | 20 |
945012 | 945012 | 2021-01-19 | Dutchess | New York | 36027 | 16757 | 319 |
945013 | 945013 | 2021-01-19 | Erie | New York | 36029 | 52228 | 1381 |
945014 | 945014 | 2021-01-19 | Essex | New York | 36031 | 988 | 19 |
945015 | 945015 | 2021-01-19 | Franklin | New York | 36033 | 1147 | 9 |
945016 | 945016 | 2021-01-19 | Fulton | New York | 36035 | 2113 | 53 |
945017 | 945017 | 2021-01-19 | Genesee | New York | 36037 | 3664 | 99 |
945018 | 945018 | 2021-01-19 | Greene | New York | 36039 | 2058 | 59 |
945019 | 945019 | 2021-01-19 | Hamilton | New York | 36041 | 146 | 1 |
945020 | 945020 | 2021-01-19 | Herkimer | New York | 36043 | 3603 | 57 |
945021 | 945021 | 2021-01-19 | Jefferson | New York | 36045 | 3214 | 23 |
945022 | 945022 | 2021-01-19 | Lewis | New York | 36049 | 1495 | 24 |
945023 | 945023 | 2021-01-19 | Livingston | New York | 36051 | 2704 | 40 |
945024 | 945024 | 2021-01-19 | Madison | New York | 36053 | 3149 | 76 |
945025 | 945025 | 2021-01-19 | Monroe | New York | 36055 | 44319 | 769 |
945026 | 945026 | 2021-01-19 | Montgomery | New York | 36057 | 2230 | 75 |
945027 | 945027 | 2021-01-19 | Nassau | New York | 36059 | 114969 | 2563 |
945028 | 945028 | 2021-01-19 | New York City | New York | 541846 | 26161 | |
945029 | 945029 | 2021-01-19 | Niagara | New York | 36063 | 12143 | 244 |
945030 | 945030 | 2021-01-19 | Oneida | New York | 36065 | 16811 | 349 |
945031 | 945031 | 2021-01-19 | Onondaga | New York | 36067 | 27755 | 533 |
945032 | 945032 | 2021-01-19 | Ontario | New York | 36069 | 4730 | 82 |
945033 | 945033 | 2021-01-19 | Orange | New York | 36071 | 28863 | 572 |
945034 | 945034 | 2021-01-19 | Orleans | New York | 36073 | 1919 | 69 |
945035 | 945035 | 2021-01-19 | Oswego | New York | 36075 | 4914 | 69 |
945036 | 945036 | 2021-01-19 | Otsego | New York | 36077 | 1671 | 23 |
945037 | 945037 | 2021-01-19 | Putnam | New York | 36079 | 6521 | 74 |
945038 | 945038 | 2021-01-19 | Rensselaer | New York | 36083 | 6874 | 104 |
945039 | 945039 | 2021-01-19 | Rockland | New York | 36087 | 31884 | 624 |
945040 | 945040 | 2021-01-19 | Saratoga | New York | 36091 | 9267 | 82 |
945041 | 945041 | 2021-01-19 | Schenectady | New York | 36093 | 8660 | 127 |
Advanced export
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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);