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)
county 59
- New York City 197
- Westchester 195
- Nassau 193
- Rockland 192
- Saratoga 191
- Suffolk 191
- Ulster 191
- Monroe 187
- Albany 186
- Delaware 186
- Dutchess 186
- Herkimer 186
- Orange 186
- Schenectady 185
- Tioga 185
- Tompkins 185
- Broome 184
- Erie 183
- Greene 183
- Montgomery 183
- Putnam 183
- Allegany 182
- Onondaga 182
- Ontario 182
- Sullivan 182
- Wyoming 182
- Clinton 181
- Rensselaer 181
- Warren 181
- Washington 181
- Chenango 180
- Essex 180
- Hamilton 180
- Jefferson 180
- Livingston 180
- Schoharie 180
- Wayne 180
- Columbia 178
- Fulton 178
- Genesee 178
- Niagara 178
- Oneida 178
- Steuben 178
- St. Lawrence 177
- Cortland 176
- Madison 176
- Cayuga 175
- Oswego 175
- Otsego 175
- Chemung 174
- Orleans 174
- Chautauqua 173
- Franklin 173
- Schuyler 171
- Cattaraugus 170
- Lewis 169
- Seneca 168
- Yates 166
- Unknown 10
fips 58
- - 207
- 36119 195
- 36059 193
- 36087 192
- 36091 191
- 36103 191
- 36111 191
- 36055 187
- 36001 186
- 36025 186
- 36027 186
- 36043 186
- 36071 186
- 36093 185
- 36107 185
- 36109 185
- 36007 184
- 36029 183
- 36039 183
- 36057 183
- 36079 183
- 36003 182
- 36067 182
- 36069 182
- 36105 182
- 36121 182
- 36019 181
- 36083 181
- 36113 181
- 36115 181
- 36017 180
- 36031 180
- 36041 180
- 36045 180
- 36051 180
- 36095 180
- 36117 180
- 36021 178
- 36035 178
- 36037 178
- 36063 178
- 36065 178
- 36101 178
- 36089 177
- 36023 176
- 36053 176
- 36011 175
- 36075 175
- 36077 175
- 36015 174
- 36073 174
- 36013 173
- 36033 173
- 36097 171
- 36009 170
- 36049 169
- 36099 168
- 36123 166
state 1
- New York · 10,502 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
533067 | 533067 | 2020-09-14 | Schoharie | New York | 36095 | 82 | 2 |
533068 | 533068 | 2020-09-14 | Schuyler | New York | 36097 | 32 | 0 |
533069 | 533069 | 2020-09-14 | Seneca | New York | 36099 | 104 | 1 |
533070 | 533070 | 2020-09-14 | St. Lawrence | New York | 36089 | 307 | 4 |
533071 | 533071 | 2020-09-14 | Steuben | New York | 36101 | 326 | 39 |
533072 | 533072 | 2020-09-14 | Suffolk | New York | 36103 | 45714 | 2010 |
533073 | 533073 | 2020-09-14 | Sullivan | New York | 36105 | 1557 | 37 |
533074 | 533074 | 2020-09-14 | Tioga | New York | 36107 | 221 | 21 |
533075 | 533075 | 2020-09-14 | Tompkins | New York | 36109 | 382 | 0 |
533076 | 533076 | 2020-09-14 | Ulster | New York | 36111 | 2219 | 83 |
533077 | 533077 | 2020-09-14 | Warren | New York | 36113 | 348 | 30 |
533078 | 533078 | 2020-09-14 | Washington | New York | 36115 | 284 | 14 |
533079 | 533079 | 2020-09-14 | Wayne | New York | 36117 | 303 | 3 |
533080 | 533080 | 2020-09-14 | Westchester | New York | 36119 | 37570 | 1453 |
533081 | 533081 | 2020-09-14 | Wyoming | New York | 36121 | 130 | 5 |
533082 | 533082 | 2020-09-14 | Yates | New York | 36123 | 62 | 6 |
529790 | 529790 | 2020-09-13 | Albany | New York | 36001 | 2915 | 123 |
529791 | 529791 | 2020-09-13 | Allegany | New York | 36003 | 94 | 2 |
529792 | 529792 | 2020-09-13 | Broome | New York | 36007 | 1418 | 85 |
529793 | 529793 | 2020-09-13 | Cattaraugus | New York | 36009 | 241 | 6 |
529794 | 529794 | 2020-09-13 | Cayuga | New York | 36011 | 190 | 2 |
529795 | 529795 | 2020-09-13 | Chautauqua | New York | 36013 | 515 | 4 |
529796 | 529796 | 2020-09-13 | Chemung | New York | 36015 | 251 | 2 |
529797 | 529797 | 2020-09-13 | Chenango | New York | 36017 | 245 | 6 |
529798 | 529798 | 2020-09-13 | Clinton | New York | 36019 | 153 | 5 |
529799 | 529799 | 2020-09-13 | Columbia | New York | 36021 | 577 | 47 |
529800 | 529800 | 2020-09-13 | Cortland | New York | 36023 | 128 | 1 |
529801 | 529801 | 2020-09-13 | Delaware | New York | 36025 | 128 | 4 |
529802 | 529802 | 2020-09-13 | Dutchess | New York | 36027 | 4986 | 154 |
529803 | 529803 | 2020-09-13 | Erie | New York | 36029 | 10637 | 615 |
529804 | 529804 | 2020-09-13 | Essex | New York | 36031 | 159 | 11 |
529805 | 529805 | 2020-09-13 | Franklin | New York | 36033 | 63 | 1 |
529806 | 529806 | 2020-09-13 | Fulton | New York | 36035 | 318 | 28 |
529807 | 529807 | 2020-09-13 | Genesee | New York | 36037 | 307 | 6 |
529808 | 529808 | 2020-09-13 | Greene | New York | 36039 | 318 | 14 |
529809 | 529809 | 2020-09-13 | Hamilton | New York | 36041 | 14 | 1 |
529810 | 529810 | 2020-09-13 | Herkimer | New York | 36043 | 313 | 10 |
529811 | 529811 | 2020-09-13 | Jefferson | New York | 36045 | 157 | 1 |
529812 | 529812 | 2020-09-13 | Lewis | New York | 36049 | 50 | 5 |
529813 | 529813 | 2020-09-13 | Livingston | New York | 36051 | 196 | 6 |
529814 | 529814 | 2020-09-13 | Madison | New York | 36053 | 478 | 9 |
529815 | 529815 | 2020-09-13 | Monroe | New York | 36055 | 5728 | 258 |
529816 | 529816 | 2020-09-13 | Montgomery | New York | 36057 | 218 | 9 |
529817 | 529817 | 2020-09-13 | Nassau | New York | 36059 | 45711 | 2200 |
529818 | 529818 | 2020-09-13 | New York City | New York | 242486 | 23743 | |
529819 | 529819 | 2020-09-13 | Niagara | New York | 36063 | 1685 | 89 |
529820 | 529820 | 2020-09-13 | Oneida | New York | 36065 | 2347 | 120 |
529821 | 529821 | 2020-09-13 | Onondaga | New York | 36067 | 4081 | 180 |
529822 | 529822 | 2020-09-13 | Ontario | New York | 36069 | 439 | 28 |
529823 | 529823 | 2020-09-13 | Orange | New York | 36071 | 11650 | 411 |
529824 | 529824 | 2020-09-13 | Orleans | New York | 36073 | 321 | 55 |
529825 | 529825 | 2020-09-13 | Oswego | New York | 36075 | 388 | 3 |
529826 | 529826 | 2020-09-13 | Otsego | New York | 36077 | 314 | 4 |
529827 | 529827 | 2020-09-13 | Putnam | New York | 36079 | 1557 | 63 |
529828 | 529828 | 2020-09-13 | Rensselaer | New York | 36083 | 879 | 42 |
529829 | 529829 | 2020-09-13 | Rockland | New York | 36087 | 14547 | 509 |
529830 | 529830 | 2020-09-13 | Saratoga | New York | 36091 | 961 | 15 |
529831 | 529831 | 2020-09-13 | Schenectady | New York | 36093 | 1356 | 46 |
529832 | 529832 | 2020-09-13 | Schoharie | New York | 36095 | 78 | 2 |
529833 | 529833 | 2020-09-13 | Schuyler | New York | 36097 | 32 | 0 |
529834 | 529834 | 2020-09-13 | Seneca | New York | 36099 | 104 | 1 |
529835 | 529835 | 2020-09-13 | St. Lawrence | New York | 36089 | 304 | 4 |
529836 | 529836 | 2020-09-13 | Steuben | New York | 36101 | 326 | 39 |
529837 | 529837 | 2020-09-13 | Suffolk | New York | 36103 | 45683 | 2009 |
529838 | 529838 | 2020-09-13 | Sullivan | New York | 36105 | 1553 | 37 |
529839 | 529839 | 2020-09-13 | Tioga | New York | 36107 | 219 | 21 |
529840 | 529840 | 2020-09-13 | Tompkins | New York | 36109 | 381 | 0 |
529841 | 529841 | 2020-09-13 | Ulster | New York | 36111 | 2218 | 83 |
529842 | 529842 | 2020-09-13 | Warren | New York | 36113 | 348 | 30 |
529843 | 529843 | 2020-09-13 | Washington | New York | 36115 | 284 | 14 |
529844 | 529844 | 2020-09-13 | Wayne | New York | 36117 | 303 | 3 |
529845 | 529845 | 2020-09-13 | Westchester | New York | 36119 | 37530 | 1452 |
529846 | 529846 | 2020-09-13 | Wyoming | New York | 36121 | 128 | 5 |
529847 | 529847 | 2020-09-13 | Yates | New York | 36123 | 62 | 6 |
526553 | 526553 | 2020-09-12 | Albany | New York | 36001 | 2896 | 123 |
526554 | 526554 | 2020-09-12 | Allegany | New York | 36003 | 94 | 2 |
526555 | 526555 | 2020-09-12 | Broome | New York | 36007 | 1410 | 85 |
526556 | 526556 | 2020-09-12 | Cattaraugus | New York | 36009 | 239 | 6 |
526557 | 526557 | 2020-09-12 | Cayuga | New York | 36011 | 187 | 2 |
526558 | 526558 | 2020-09-12 | Chautauqua | New York | 36013 | 507 | 4 |
526559 | 526559 | 2020-09-12 | Chemung | New York | 36015 | 247 | 2 |
526560 | 526560 | 2020-09-12 | Chenango | New York | 36017 | 245 | 6 |
526561 | 526561 | 2020-09-12 | Clinton | New York | 36019 | 152 | 5 |
526562 | 526562 | 2020-09-12 | Columbia | New York | 36021 | 577 | 47 |
526563 | 526563 | 2020-09-12 | Cortland | New York | 36023 | 119 | 1 |
526564 | 526564 | 2020-09-12 | Delaware | New York | 36025 | 128 | 4 |
526565 | 526565 | 2020-09-12 | Dutchess | New York | 36027 | 4984 | 154 |
526566 | 526566 | 2020-09-12 | Erie | New York | 36029 | 10567 | 615 |
526567 | 526567 | 2020-09-12 | Essex | New York | 36031 | 159 | 10 |
526568 | 526568 | 2020-09-12 | Franklin | New York | 36033 | 61 | 1 |
526569 | 526569 | 2020-09-12 | Fulton | New York | 36035 | 316 | 28 |
526570 | 526570 | 2020-09-12 | Genesee | New York | 36037 | 307 | 6 |
526571 | 526571 | 2020-09-12 | Greene | New York | 36039 | 317 | 14 |
526572 | 526572 | 2020-09-12 | Hamilton | New York | 36041 | 14 | 1 |
526573 | 526573 | 2020-09-12 | Herkimer | New York | 36043 | 312 | 10 |
526574 | 526574 | 2020-09-12 | Jefferson | New York | 36045 | 157 | 1 |
526575 | 526575 | 2020-09-12 | Lewis | New York | 36049 | 50 | 5 |
526576 | 526576 | 2020-09-12 | Livingston | New York | 36051 | 194 | 6 |
526577 | 526577 | 2020-09-12 | Madison | New York | 36053 | 478 | 9 |
526578 | 526578 | 2020-09-12 | Monroe | New York | 36055 | 5713 | 258 |
Advanced export
JSON shape: default, array, newline-delimited
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);