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 2020-11-26 and state = "New York" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
769753 | 769753 | 2020-11-26 | Albany | New York | 36001 | 5426 | 140 |
769754 | 769754 | 2020-11-26 | Allegany | New York | 36003 | 930 | 52 |
769755 | 769755 | 2020-11-26 | Broome | New York | 36007 | 5143 | 138 |
769756 | 769756 | 2020-11-26 | Cattaraugus | New York | 36009 | 997 | 26 |
769757 | 769757 | 2020-11-26 | Cayuga | New York | 36011 | 794 | 8 |
769758 | 769758 | 2020-11-26 | Chautauqua | New York | 36013 | 1480 | 7 |
769759 | 769759 | 2020-11-26 | Chemung | New York | 36015 | 2872 | 34 |
769760 | 769760 | 2020-11-26 | Chenango | New York | 36017 | 605 | 7 |
769761 | 769761 | 2020-11-26 | Clinton | New York | 36019 | 443 | 5 |
769762 | 769762 | 2020-11-26 | Columbia | New York | 36021 | 988 | 56 |
769763 | 769763 | 2020-11-26 | Cortland | New York | 36023 | 957 | 2 |
769764 | 769764 | 2020-11-26 | Delaware | New York | 36025 | 336 | 6 |
769765 | 769765 | 2020-11-26 | Dutchess | New York | 36027 | 6930 | 186 |
769766 | 769766 | 2020-11-26 | Erie | New York | 36029 | 23071 | 779 |
769767 | 769767 | 2020-11-26 | Essex | New York | 36031 | 283 | 14 |
769768 | 769768 | 2020-11-26 | Franklin | New York | 36033 | 255 | 7 |
769769 | 769769 | 2020-11-26 | Fulton | New York | 36035 | 478 | 28 |
769770 | 769770 | 2020-11-26 | Genesee | New York | 36037 | 890 | 9 |
769771 | 769771 | 2020-11-26 | Greene | New York | 36039 | 661 | 17 |
769772 | 769772 | 2020-11-26 | Hamilton | New York | 36041 | 42 | 1 |
769773 | 769773 | 2020-11-26 | Herkimer | New York | 36043 | 631 | 12 |
769774 | 769774 | 2020-11-26 | Jefferson | New York | 36045 | 487 | 3 |
769775 | 769775 | 2020-11-26 | Lewis | New York | 36049 | 337 | 9 |
769776 | 769776 | 2020-11-26 | Livingston | New York | 36051 | 655 | 9 |
769777 | 769777 | 2020-11-26 | Madison | New York | 36053 | 878 | 11 |
769778 | 769778 | 2020-11-26 | Monroe | New York | 36055 | 13818 | 283 |
769779 | 769779 | 2020-11-26 | Montgomery | New York | 36057 | 460 | 16 |
769780 | 769780 | 2020-11-26 | Nassau | New York | 36059 | 58567 | 2248 |
769781 | 769781 | 2020-11-26 | New York City | New York | 307261 | 24241 | |
769782 | 769782 | 2020-11-26 | Niagara | New York | 36063 | 3445 | 105 |
769783 | 769783 | 2020-11-26 | Oneida | New York | 36065 | 4515 | 147 |
769784 | 769784 | 2020-11-26 | Onondaga | New York | 36067 | 10024 | 208 |
769785 | 769785 | 2020-11-26 | Ontario | New York | 36069 | 1202 | 31 |
769786 | 769786 | 2020-11-26 | Orange | New York | 36071 | 16420 | 431 |
769787 | 769787 | 2020-11-26 | Orleans | New York | 36073 | 598 | 56 |
769788 | 769788 | 2020-11-26 | Oswego | New York | 36075 | 1405 | 6 |
769789 | 769789 | 2020-11-26 | Otsego | New York | 36077 | 587 | 5 |
769790 | 769790 | 2020-11-26 | Putnam | New York | 36079 | 2615 | 64 |
769791 | 769791 | 2020-11-26 | Rensselaer | New York | 36083 | 1625 | 51 |
769792 | 769792 | 2020-11-26 | Rockland | New York | 36087 | 21111 | 525 |
769793 | 769793 | 2020-11-26 | Saratoga | New York | 36091 | 2089 | 19 |
769794 | 769794 | 2020-11-26 | Schenectady | New York | 36093 | 2283 | 56 |
769795 | 769795 | 2020-11-26 | Schoharie | New York | 36095 | 183 | 2 |
769796 | 769796 | 2020-11-26 | Schuyler | New York | 36097 | 289 | 3 |
769797 | 769797 | 2020-11-26 | Seneca | New York | 36099 | 269 | 2 |
769798 | 769798 | 2020-11-26 | St. Lawrence | New York | 36089 | 743 | 9 |
769799 | 769799 | 2020-11-26 | Steuben | New York | 36101 | 1678 | 84 |
769800 | 769800 | 2020-11-26 | Suffolk | New York | 36103 | 58562 | 2045 |
769801 | 769801 | 2020-11-26 | Sullivan | New York | 36105 | 2137 | 38 |
769802 | 769802 | 2020-11-26 | Tioga | New York | 36107 | 1080 | 48 |
769803 | 769803 | 2020-11-26 | Tompkins | New York | 36109 | 1000 | 0 |
769804 | 769804 | 2020-11-26 | Ulster | New York | 36111 | 3180 | 93 |
769805 | 769805 | 2020-11-26 | Warren | New York | 36113 | 569 | 30 |
769806 | 769806 | 2020-11-26 | Washington | New York | 36115 | 439 | 14 |
769807 | 769807 | 2020-11-26 | Wayne | New York | 36117 | 1052 | 12 |
769808 | 769808 | 2020-11-26 | Westchester | New York | 36119 | 48440 | 1510 |
769809 | 769809 | 2020-11-26 | Wyoming | New York | 36121 | 499 | 5 |
769810 | 769810 | 2020-11-26 | Yates | New York | 36123 | 247 | 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);