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 2020-04-15 and state = "New York" sorted by date descending
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fips >30
county >30
- 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
- …
state 1
- New York · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
60743 | 60743 | 2020-04-15 | Albany | New York | 36001 | 548 | 26 |
60744 | 60744 | 2020-04-15 | Allegany | New York | 36003 | 28 | 0 |
60745 | 60745 | 2020-04-15 | Broome | New York | 36007 | 153 | 6 |
60746 | 60746 | 2020-04-15 | Cattaraugus | New York | 36009 | 32 | 0 |
60747 | 60747 | 2020-04-15 | Cayuga | New York | 36011 | 36 | 1 |
60748 | 60748 | 2020-04-15 | Chautauqua | New York | 36013 | 24 | 1 |
60749 | 60749 | 2020-04-15 | Chemung | New York | 36015 | 69 | 2 |
60750 | 60750 | 2020-04-15 | Chenango | New York | 36017 | 71 | 0 |
60751 | 60751 | 2020-04-15 | Clinton | New York | 36019 | 45 | 3 |
60752 | 60752 | 2020-04-15 | Columbia | New York | 36021 | 96 | 11 |
60753 | 60753 | 2020-04-15 | Cortland | New York | 36023 | 23 | 0 |
60754 | 60754 | 2020-04-15 | Delaware | New York | 36025 | 46 | 0 |
60755 | 60755 | 2020-04-15 | Dutchess | New York | 36027 | 2048 | 45 |
60756 | 60756 | 2020-04-15 | Erie | New York | 36029 | 1751 | 110 |
60757 | 60757 | 2020-04-15 | Essex | New York | 36031 | 12 | 0 |
60758 | 60758 | 2020-04-15 | Franklin | New York | 36033 | 13 | 0 |
60759 | 60759 | 2020-04-15 | Fulton | New York | 36035 | 24 | 0 |
60760 | 60760 | 2020-04-15 | Genesee | New York | 36037 | 76 | 1 |
60761 | 60761 | 2020-04-15 | Greene | New York | 36039 | 73 | 0 |
60762 | 60762 | 2020-04-15 | Hamilton | New York | 36041 | 3 | 0 |
60763 | 60763 | 2020-04-15 | Herkimer | New York | 36043 | 40 | 1 |
60764 | 60764 | 2020-04-15 | Jefferson | New York | 36045 | 47 | 0 |
60765 | 60765 | 2020-04-15 | Lewis | New York | 36049 | 7 | 0 |
60766 | 60766 | 2020-04-15 | Livingston | New York | 36051 | 31 | 1 |
60767 | 60767 | 2020-04-15 | Madison | New York | 36053 | 105 | 1 |
60768 | 60768 | 2020-04-15 | Monroe | New York | 36055 | 884 | 48 |
60769 | 60769 | 2020-04-15 | Montgomery | New York | 36057 | 32 | 1 |
60770 | 60770 | 2020-04-15 | Nassau | New York | 36059 | 26715 | 1286 |
60771 | 60771 | 2020-04-15 | New York City | New York | 121653 | 11566 | |
60772 | 60772 | 2020-04-15 | Niagara | New York | 36063 | 204 | 6 |
60773 | 60773 | 2020-04-15 | Oneida | New York | 36065 | 246 | 4 |
60774 | 60774 | 2020-04-15 | Onondaga | New York | 36067 | 449 | 15 |
60775 | 60775 | 2020-04-15 | Ontario | New York | 36069 | 62 | 2 |
60776 | 60776 | 2020-04-15 | Orange | New York | 36071 | 5716 | 135 |
60777 | 60777 | 2020-04-15 | Orleans | New York | 36073 | 33 | 0 |
60778 | 60778 | 2020-04-15 | Oswego | New York | 36075 | 42 | 0 |
60779 | 60779 | 2020-04-15 | Otsego | New York | 36077 | 44 | 4 |
60780 | 60780 | 2020-04-15 | Putnam | New York | 36079 | 571 | 28 |
60781 | 60781 | 2020-04-15 | Rensselaer | New York | 36083 | 124 | 8 |
60782 | 60782 | 2020-04-15 | Rockland | New York | 36087 | 8474 | 212 |
60783 | 60783 | 2020-04-15 | Saratoga | New York | 36091 | 227 | 1 |
60784 | 60784 | 2020-04-15 | Schenectady | New York | 36093 | 237 | 16 |
60785 | 60785 | 2020-04-15 | Schoharie | New York | 36095 | 20 | 0 |
60786 | 60786 | 2020-04-15 | Schuyler | New York | 36097 | 6 | 0 |
60787 | 60787 | 2020-04-15 | Seneca | New York | 36099 | 18 | 1 |
60788 | 60788 | 2020-04-15 | St. Lawrence | New York | 36089 | 92 | 1 |
60789 | 60789 | 2020-04-15 | Steuben | New York | 36101 | 151 | 5 |
60790 | 60790 | 2020-04-15 | Suffolk | New York | 36103 | 23278 | 663 |
60791 | 60791 | 2020-04-15 | Sullivan | New York | 36105 | 424 | 7 |
60792 | 60792 | 2020-04-15 | Tioga | New York | 36107 | 25 | 0 |
60793 | 60793 | 2020-04-15 | Tompkins | New York | 36109 | 115 | 2 |
60794 | 60794 | 2020-04-15 | Ulster | New York | 36111 | 733 | 2 |
60795 | 60795 | 2020-04-15 | Warren | New York | 36113 | 77 | 4 |
60796 | 60796 | 2020-04-15 | Washington | New York | 36115 | 42 | 0 |
60797 | 60797 | 2020-04-15 | Wayne | New York | 36117 | 48 | 0 |
60798 | 60798 | 2020-04-15 | Westchester | New York | 36119 | 20947 | 708 |
60799 | 60799 | 2020-04-15 | Wyoming | New York | 36121 | 34 | 3 |
60800 | 60800 | 2020-04-15 | Yates | New York | 36123 | 6 | 0 |
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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);