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 153
- Westchester 150
- Nassau 149
- Rockland 148
- Saratoga 147
- Suffolk 146
- Ulster 146
- Monroe 143
- Albany 142
- Delaware 142
- Dutchess 142
- Herkimer 142
- Orange 142
- Schenectady 141
- Broome 140
- Tioga 140
- Tompkins 140
- Erie 139
- Greene 139
- Montgomery 139
- Putnam 139
- Allegany 138
- Onondaga 138
- Ontario 138
- Clinton 137
- Rensselaer 137
- Sullivan 137
- Wyoming 137
- Chenango 136
- Essex 136
- …
state 1
- New York · 7,934 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
387763 | 387763 | 2020-07-31 | Albany | New York | 36001 | 2503 | 169 |
387764 | 387764 | 2020-07-31 | Allegany | New York | 36003 | 74 | 0 |
387765 | 387765 | 2020-07-31 | Broome | New York | 36007 | 1037 | 76 |
387766 | 387766 | 2020-07-31 | Cattaraugus | New York | 36009 | 158 | 5 |
387767 | 387767 | 2020-07-31 | Cayuga | New York | 36011 | 143 | 1 |
387768 | 387768 | 2020-07-31 | Chautauqua | New York | 36013 | 228 | 5 |
387769 | 387769 | 2020-07-31 | Chemung | New York | 36015 | 163 | 5 |
387770 | 387770 | 2020-07-31 | Chenango | New York | 36017 | 207 | 3 |
387771 | 387771 | 2020-07-31 | Clinton | New York | 36019 | 126 | 4 |
387772 | 387772 | 2020-07-31 | Columbia | New York | 36021 | 516 | 43 |
387773 | 387773 | 2020-07-31 | Cortland | New York | 36023 | 91 | 0 |
387774 | 387774 | 2020-07-31 | Delaware | New York | 36025 | 102 | 0 |
387775 | 387775 | 2020-07-31 | Dutchess | New York | 36027 | 4490 | 162 |
387776 | 387776 | 2020-07-31 | Erie | New York | 36029 | 8492 | 621 |
387777 | 387777 | 2020-07-31 | Essex | New York | 36031 | 63 | 0 |
387778 | 387778 | 2020-07-31 | Franklin | New York | 36033 | 50 | 1 |
387779 | 387779 | 2020-07-31 | Fulton | New York | 36035 | 275 | 20 |
387780 | 387780 | 2020-07-31 | Genesee | New York | 36037 | 270 | 6 |
387781 | 387781 | 2020-07-31 | Greene | New York | 36039 | 289 | 5 |
387782 | 387782 | 2020-07-31 | Hamilton | New York | 36041 | 7 | 0 |
387783 | 387783 | 2020-07-31 | Herkimer | New York | 36043 | 239 | 3 |
387784 | 387784 | 2020-07-31 | Jefferson | New York | 36045 | 129 | 0 |
387785 | 387785 | 2020-07-31 | Lewis | New York | 36049 | 34 | 0 |
387786 | 387786 | 2020-07-31 | Livingston | New York | 36051 | 165 | 4 |
387787 | 387787 | 2020-07-31 | Madison | New York | 36053 | 398 | 6 |
387788 | 387788 | 2020-07-31 | Monroe | New York | 36055 | 4711 | 266 |
387789 | 387789 | 2020-07-31 | Montgomery | New York | 36057 | 154 | 5 |
387790 | 387790 | 2020-07-31 | Nassau | New York | 36059 | 43203 | 2706 |
387791 | 387791 | 2020-07-31 | New York City | New York | 229834 | 23002 | |
387792 | 387792 | 2020-07-31 | Niagara | New York | 36063 | 1440 | 68 |
387793 | 387793 | 2020-07-31 | Oneida | New York | 36065 | 2070 | 110 |
387794 | 387794 | 2020-07-31 | Onondaga | New York | 36067 | 3464 | 188 |
387795 | 387795 | 2020-07-31 | Ontario | New York | 36069 | 349 | 26 |
387796 | 387796 | 2020-07-31 | Orange | New York | 36071 | 11097 | 404 |
387797 | 387797 | 2020-07-31 | Orleans | New York | 36073 | 293 | 41 |
387798 | 387798 | 2020-07-31 | Oswego | New York | 36075 | 241 | 0 |
387799 | 387799 | 2020-07-31 | Otsego | New York | 36077 | 112 | 6 |
387800 | 387800 | 2020-07-31 | Putnam | New York | 36079 | 1421 | 61 |
387801 | 387801 | 2020-07-31 | Rensselaer | New York | 36083 | 724 | 39 |
387802 | 387802 | 2020-07-31 | Rockland | New York | 36087 | 13864 | 470 |
387803 | 387803 | 2020-07-31 | Saratoga | New York | 36091 | 715 | 5 |
387804 | 387804 | 2020-07-31 | Schenectady | New York | 36093 | 1023 | 37 |
387805 | 387805 | 2020-07-31 | Schoharie | New York | 36095 | 68 | 0 |
387806 | 387806 | 2020-07-31 | Schuyler | New York | 36097 | 21 | 0 |
387807 | 387807 | 2020-07-31 | Seneca | New York | 36099 | 84 | 0 |
387808 | 387808 | 2020-07-31 | St. Lawrence | New York | 36089 | 260 | 4 |
387809 | 387809 | 2020-07-31 | Steuben | New York | 36101 | 290 | 19 |
387810 | 387810 | 2020-07-31 | Suffolk | New York | 36103 | 43224 | 2044 |
387811 | 387811 | 2020-07-31 | Sullivan | New York | 36105 | 1480 | 32 |
387812 | 387812 | 2020-07-31 | Tioga | New York | 36107 | 187 | 19 |
387813 | 387813 | 2020-07-31 | Tompkins | New York | 36109 | 228 | 2 |
387814 | 387814 | 2020-07-31 | Ulster | New York | 36111 | 2021 | 49 |
387815 | 387815 | 2020-07-31 | Warren | New York | 36113 | 300 | 31 |
387816 | 387816 | 2020-07-31 | Washington | New York | 36115 | 254 | 11 |
387817 | 387817 | 2020-07-31 | Wayne | New York | 36117 | 245 | 1 |
387818 | 387818 | 2020-07-31 | Westchester | New York | 36119 | 35932 | 1578 |
387819 | 387819 | 2020-07-31 | Wyoming | New York | 36121 | 112 | 3 |
387820 | 387820 | 2020-07-31 | Yates | New York | 36123 | 53 | 6 |
384546 | 384546 | 2020-07-30 | Albany | New York | 36001 | 2493 | 169 |
384547 | 384547 | 2020-07-30 | Allegany | New York | 36003 | 74 | 0 |
384548 | 384548 | 2020-07-30 | Broome | New York | 36007 | 1029 | 76 |
384549 | 384549 | 2020-07-30 | Cattaraugus | New York | 36009 | 157 | 5 |
384550 | 384550 | 2020-07-30 | Cayuga | New York | 36011 | 141 | 1 |
384551 | 384551 | 2020-07-30 | Chautauqua | New York | 36013 | 224 | 5 |
384552 | 384552 | 2020-07-30 | Chemung | New York | 36015 | 162 | 5 |
384553 | 384553 | 2020-07-30 | Chenango | New York | 36017 | 206 | 3 |
384554 | 384554 | 2020-07-30 | Clinton | New York | 36019 | 125 | 4 |
384555 | 384555 | 2020-07-30 | Columbia | New York | 36021 | 513 | 43 |
384556 | 384556 | 2020-07-30 | Cortland | New York | 36023 | 90 | 0 |
384557 | 384557 | 2020-07-30 | Delaware | New York | 36025 | 101 | 0 |
384558 | 384558 | 2020-07-30 | Dutchess | New York | 36027 | 4468 | 162 |
384559 | 384559 | 2020-07-30 | Erie | New York | 36029 | 8434 | 621 |
384560 | 384560 | 2020-07-30 | Essex | New York | 36031 | 63 | 0 |
384561 | 384561 | 2020-07-30 | Franklin | New York | 36033 | 48 | 1 |
384562 | 384562 | 2020-07-30 | Fulton | New York | 36035 | 275 | 20 |
384563 | 384563 | 2020-07-30 | Genesee | New York | 36037 | 270 | 6 |
384564 | 384564 | 2020-07-30 | Greene | New York | 36039 | 287 | 5 |
384565 | 384565 | 2020-07-30 | Hamilton | New York | 36041 | 7 | 0 |
384566 | 384566 | 2020-07-30 | Herkimer | New York | 36043 | 239 | 2 |
384567 | 384567 | 2020-07-30 | Jefferson | New York | 36045 | 128 | 0 |
384568 | 384568 | 2020-07-30 | Lewis | New York | 36049 | 34 | 0 |
384569 | 384569 | 2020-07-30 | Livingston | New York | 36051 | 164 | 4 |
384570 | 384570 | 2020-07-30 | Madison | New York | 36053 | 396 | 6 |
384571 | 384571 | 2020-07-30 | Monroe | New York | 36055 | 4678 | 266 |
384572 | 384572 | 2020-07-30 | Montgomery | New York | 36057 | 152 | 5 |
384573 | 384573 | 2020-07-30 | Nassau | New York | 36059 | 43158 | 2706 |
384574 | 384574 | 2020-07-30 | New York City | New York | 229551 | 22996 | |
384575 | 384575 | 2020-07-30 | Niagara | New York | 36063 | 1434 | 68 |
384576 | 384576 | 2020-07-30 | Oneida | New York | 36065 | 2062 | 110 |
384577 | 384577 | 2020-07-30 | Onondaga | New York | 36067 | 3459 | 187 |
384578 | 384578 | 2020-07-30 | Ontario | New York | 36069 | 349 | 26 |
384579 | 384579 | 2020-07-30 | Orange | New York | 36071 | 11087 | 404 |
384580 | 384580 | 2020-07-30 | Orleans | New York | 36073 | 291 | 41 |
384581 | 384581 | 2020-07-30 | Oswego | New York | 36075 | 240 | 0 |
384582 | 384582 | 2020-07-30 | Otsego | New York | 36077 | 107 | 6 |
384583 | 384583 | 2020-07-30 | Putnam | New York | 36079 | 1418 | 61 |
384584 | 384584 | 2020-07-30 | Rensselaer | New York | 36083 | 718 | 39 |
384585 | 384585 | 2020-07-30 | Rockland | New York | 36087 | 13860 | 470 |
384586 | 384586 | 2020-07-30 | Saratoga | New York | 36091 | 709 | 5 |
384587 | 384587 | 2020-07-30 | Schenectady | New York | 36093 | 1018 | 36 |
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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);