ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
59 rows where "date" is on date 2020-04-03 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 · 59 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
29763 | 29763 | 2020-04-03 | Albany | New York | 36001 | 267 | 4 |
29764 | 29764 | 2020-04-03 | Allegany | New York | 36003 | 12 | 1 |
29765 | 29765 | 2020-04-03 | Broome | New York | 36007 | 46 | 4 |
29766 | 29766 | 2020-04-03 | Cattaraugus | New York | 36009 | 8 | 0 |
29767 | 29767 | 2020-04-03 | Cayuga | New York | 36011 | 6 | 0 |
29768 | 29768 | 2020-04-03 | Chautauqua | New York | 36013 | 10 | 1 |
29769 | 29769 | 2020-04-03 | Chemung | New York | 36015 | 22 | 0 |
29770 | 29770 | 2020-04-03 | Chenango | New York | 36017 | 28 | 0 |
29771 | 29771 | 2020-04-03 | Clinton | New York | 36019 | 25 | 0 |
29772 | 29772 | 2020-04-03 | Columbia | New York | 36021 | 41 | 2 |
29773 | 29773 | 2020-04-03 | Cortland | New York | 36023 | 10 | 0 |
29774 | 29774 | 2020-04-03 | Delaware | New York | 36025 | 23 | 1 |
29775 | 29775 | 2020-04-03 | Dutchess | New York | 36027 | 809 | 9 |
29776 | 29776 | 2020-04-03 | Erie | New York | 36029 | 802 | 22 |
29777 | 29777 | 2020-04-03 | Essex | New York | 36031 | 6 | 0 |
29778 | 29778 | 2020-04-03 | Franklin | New York | 36033 | 9 | 0 |
29779 | 29779 | 2020-04-03 | Fulton | New York | 36035 | 6 | 0 |
29780 | 29780 | 2020-04-03 | Genesee | New York | 36037 | 17 | 1 |
29781 | 29781 | 2020-04-03 | Greene | New York | 36039 | 21 | 0 |
29782 | 29782 | 2020-04-03 | Hamilton | New York | 36041 | 2 | 0 |
29783 | 29783 | 2020-04-03 | Herkimer | New York | 36043 | 16 | 2 |
29784 | 29784 | 2020-04-03 | Jefferson | New York | 36045 | 15 | 0 |
29785 | 29785 | 2020-04-03 | Lewis | New York | 36049 | 3 | 0 |
29786 | 29786 | 2020-04-03 | Livingston | New York | 36051 | 18 | 1 |
29787 | 29787 | 2020-04-03 | Madison | New York | 36053 | 77 | 2 |
29788 | 29788 | 2020-04-03 | Monroe | New York | 36055 | 464 | 14 |
29789 | 29789 | 2020-04-03 | Montgomery | New York | 36057 | 8 | 0 |
29790 | 29790 | 2020-04-03 | Nassau | New York | 36059 | 12024 | 138 |
29791 | 29791 | 2020-04-03 | New York City | New York | 57941 | 2648 | |
29792 | 29792 | 2020-04-03 | Niagara | New York | 36063 | 91 | 0 |
29793 | 29793 | 2020-04-03 | Oneida | New York | 36065 | 68 | 1 |
29794 | 29794 | 2020-04-03 | Onondaga | New York | 36067 | 301 | 2 |
29795 | 29795 | 2020-04-03 | Ontario | New York | 36069 | 31 | 0 |
29796 | 29796 | 2020-04-03 | Orange | New York | 36071 | 2397 | 30 |
29797 | 29797 | 2020-04-03 | Orleans | New York | 36073 | 6 | 0 |
29798 | 29798 | 2020-04-03 | Oswego | New York | 36075 | 28 | 2 |
29799 | 29799 | 2020-04-03 | Otsego | New York | 36077 | 21 | 1 |
29800 | 29800 | 2020-04-03 | Putnam | New York | 36079 | 236 | 0 |
29801 | 29801 | 2020-04-03 | Rensselaer | New York | 36083 | 71 | 1 |
29802 | 29802 | 2020-04-03 | Rockland | New York | 36087 | 4289 | 42 |
29803 | 29803 | 2020-04-03 | Saratoga | New York | 36091 | 132 | 1 |
29804 | 29804 | 2020-04-03 | Schenectady | New York | 36093 | 101 | 5 |
29805 | 29805 | 2020-04-03 | Schoharie | New York | 36095 | 8 | 0 |
29806 | 29806 | 2020-04-03 | Schuyler | New York | 36097 | 3 | 0 |
29807 | 29807 | 2020-04-03 | Seneca | New York | 36099 | 5 | 0 |
29808 | 29808 | 2020-04-03 | St. Lawrence | New York | 36089 | 42 | 0 |
29809 | 29809 | 2020-04-03 | Steuben | New York | 36101 | 49 | 1 |
29810 | 29810 | 2020-04-03 | Suffolk | New York | 36103 | 10154 | 96 |
29811 | 29811 | 2020-04-03 | Sullivan | New York | 36105 | 156 | 5 |
29812 | 29812 | 2020-04-03 | Tioga | New York | 36107 | 8 | 0 |
29813 | 29813 | 2020-04-03 | Tompkins | New York | 36109 | 87 | 0 |
29814 | 29814 | 2020-04-03 | Ulster | New York | 36111 | 243 | 3 |
29815 | 29815 | 2020-04-03 | Unknown | New York | 0 | 608 | |
29816 | 29816 | 2020-04-03 | Warren | New York | 36113 | 19 | 0 |
29817 | 29817 | 2020-04-03 | Washington | New York | 36115 | 13 | 0 |
29818 | 29818 | 2020-04-03 | Wayne | New York | 36117 | 27 | 0 |
29819 | 29819 | 2020-04-03 | Westchester | New York | 36119 | 12350 | 67 |
29820 | 29820 | 2020-04-03 | Wyoming | New York | 36121 | 15 | 1 |
29821 | 29821 | 2020-04-03 | Yates | New York | 36123 | 2 | 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);