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 2022-04-17 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 |
---|---|---|---|---|---|---|---|
2416757 | 2416757 | 2022-04-17 | Albany | New York | 36001 | 60012 | 510 |
2416758 | 2416758 | 2022-04-17 | Allegany | New York | 36003 | 8986 | 154 |
2416759 | 2416759 | 2022-04-17 | Broome | New York | 36007 | 46409 | 514 |
2416760 | 2416760 | 2022-04-17 | Cattaraugus | New York | 36009 | 15543 | 221 |
2416761 | 2416761 | 2022-04-17 | Cayuga | New York | 36011 | 16750 | 147 |
2416762 | 2416762 | 2022-04-17 | Chautauqua | New York | 36013 | 23662 | 300 |
2416763 | 2416763 | 2022-04-17 | Chemung | New York | 36015 | 21593 | 230 |
2416764 | 2416764 | 2022-04-17 | Chenango | New York | 36017 | 9445 | 120 |
2416765 | 2416765 | 2022-04-17 | Clinton | New York | 36019 | 17109 | 87 |
2416766 | 2416766 | 2022-04-17 | Columbia | New York | 36021 | 10199 | 140 |
2416767 | 2416767 | 2022-04-17 | Cortland | New York | 36023 | 10909 | 116 |
2416768 | 2416768 | 2022-04-17 | Delaware | New York | 36025 | 7923 | 70 |
2416769 | 2416769 | 2022-04-17 | Dutchess | New York | 36027 | 64620 | 655 |
2416770 | 2416770 | 2022-04-17 | Erie | New York | 36029 | 212390 | 2618 |
2416771 | 2416771 | 2022-04-17 | Essex | New York | 36031 | 5824 | 59 |
2416772 | 2416772 | 2022-04-17 | Franklin | New York | 36033 | 9646 | 44 |
2416773 | 2416773 | 2022-04-17 | Fulton | New York | 36035 | 12881 | 169 |
2416774 | 2416774 | 2022-04-17 | Genesee | New York | 36037 | 13772 | 185 |
2416775 | 2416775 | 2022-04-17 | Greene | New York | 36039 | 8735 | 125 |
2416776 | 2416776 | 2022-04-17 | Hamilton | New York | 36041 | 885 | 5 |
2416777 | 2416777 | 2022-04-17 | Herkimer | New York | 36043 | 14152 | 190 |
2416778 | 2416778 | 2022-04-17 | Jefferson | New York | 36045 | 20348 | 137 |
2416779 | 2416779 | 2022-04-17 | Lewis | New York | 36049 | 6206 | 49 |
2416780 | 2416780 | 2022-04-17 | Livingston | New York | 36051 | 11787 | 115 |
2416781 | 2416781 | 2022-04-17 | Madison | New York | 36053 | 13615 | 126 |
2416782 | 2416782 | 2022-04-17 | Monroe | New York | 36055 | 155165 | 1556 |
2416783 | 2416783 | 2022-04-17 | Montgomery | New York | 36057 | 12035 | 203 |
2416784 | 2416784 | 2022-04-17 | Nassau | New York | 36059 | 409205 | 3826 |
2416785 | 2416785 | 2022-04-17 | New York City | New York | 2336249 | 40133 | |
2416786 | 2416786 | 2022-04-17 | Niagara | New York | 36063 | 48466 | 573 |
2416787 | 2416787 | 2022-04-17 | Oneida | New York | 36065 | 54913 | 783 |
2416788 | 2416788 | 2022-04-17 | Onondaga | New York | 36067 | 116313 | 1047 |
2416789 | 2416789 | 2022-04-17 | Ontario | New York | 36069 | 20412 | 176 |
2416790 | 2416790 | 2022-04-17 | Orange | New York | 36071 | 107724 | 948 |
2416791 | 2416791 | 2022-04-17 | Orleans | New York | 36073 | 8696 | 113 |
2416792 | 2416792 | 2022-04-17 | Oswego | New York | 36075 | 27358 | 187 |
2416793 | 2416793 | 2022-04-17 | Otsego | New York | 36077 | 10109 | 88 |
2416794 | 2416794 | 2022-04-17 | Putnam | New York | 36079 | 23955 | 121 |
2416795 | 2416795 | 2022-04-17 | Rensselaer | New York | 36083 | 32000 | 249 |
2416796 | 2416796 | 2022-04-17 | Rockland | New York | 36087 | 93347 | 891 |
2416797 | 2416797 | 2022-04-17 | Saratoga | New York | 36091 | 46972 | 329 |
2416798 | 2416798 | 2022-04-17 | Schenectady | New York | 36093 | 33404 | 298 |
2416799 | 2416799 | 2022-04-17 | Schoharie | New York | 36095 | 5081 | 36 |
2416800 | 2416800 | 2022-04-17 | Schuyler | New York | 36097 | 3572 | 25 |
2416801 | 2416801 | 2022-04-17 | Seneca | New York | 36099 | 6104 | 90 |
2416802 | 2416802 | 2022-04-17 | St. Lawrence | New York | 36089 | 21659 | 185 |
2416803 | 2416803 | 2022-04-17 | Steuben | New York | 36101 | 20178 | 249 |
2416804 | 2416804 | 2022-04-17 | Suffolk | New York | 36103 | 430671 | 4369 |
2416805 | 2416805 | 2022-04-17 | Sullivan | New York | 36105 | 18601 | 129 |
2416806 | 2416806 | 2022-04-17 | Tioga | New York | 36107 | 11005 | 82 |
2416807 | 2416807 | 2022-04-17 | Tompkins | New York | 36109 | 19488 | 84 |
2416808 | 2416808 | 2022-04-17 | Ulster | New York | 36111 | 32262 | 361 |
2416809 | 2416809 | 2022-04-17 | Warren | New York | 36113 | 13875 | 127 |
2416810 | 2416810 | 2022-04-17 | Washington | New York | 36115 | 12202 | 113 |
2416811 | 2416811 | 2022-04-17 | Wayne | New York | 36117 | 17574 | 173 |
2416812 | 2416812 | 2022-04-17 | Westchester | New York | 36119 | 254778 | 2708 |
2416813 | 2416813 | 2022-04-17 | Wyoming | New York | 36121 | 8343 | 82 |
2416814 | 2416814 | 2022-04-17 | Yates | New York | 36123 | 3465 | 39 |
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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);