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 2022-01-08 and state = "New York" sorted by date descending
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Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
2094721 | 2094721 | 2022-01-08 | Albany | New York | 36001 | 46262 | 447 |
2094722 | 2094722 | 2022-01-08 | Allegany | New York | 36003 | 7320 | 139 |
2094723 | 2094723 | 2022-01-08 | Broome | New York | 36007 | 36704 | 475 |
2094724 | 2094724 | 2022-01-08 | Cattaraugus | New York | 36009 | 12242 | 192 |
2094725 | 2094725 | 2022-01-08 | Cayuga | New York | 36011 | 12627 | 122 |
2094726 | 2094726 | 2022-01-08 | Chautauqua | New York | 36013 | 19018 | 231 |
2094727 | 2094727 | 2022-01-08 | Chemung | New York | 36015 | 16520 | 197 |
2094728 | 2094728 | 2022-01-08 | Chenango | New York | 36017 | 7313 | 103 |
2094729 | 2094729 | 2022-01-08 | Clinton | New York | 36019 | 11178 | 59 |
2094730 | 2094730 | 2022-01-08 | Columbia | New York | 36021 | 7713 | 123 |
2094731 | 2094731 | 2022-01-08 | Cortland | New York | 36023 | 8012 | 93 |
2094732 | 2094732 | 2022-01-08 | Delaware | New York | 36025 | 6080 | 59 |
2094733 | 2094733 | 2022-01-08 | Dutchess | New York | 36027 | 52215 | 547 |
2094734 | 2094734 | 2022-01-08 | Erie | New York | 36029 | 168530 | 2289 |
2094735 | 2094735 | 2022-01-08 | Essex | New York | 36031 | 4177 | 49 |
2094736 | 2094736 | 2022-01-08 | Franklin | New York | 36033 | 7010 | 33 |
2094737 | 2094737 | 2022-01-08 | Fulton | New York | 36035 | 9739 | 135 |
2094738 | 2094738 | 2022-01-08 | Genesee | New York | 36037 | 11067 | 164 |
2094739 | 2094739 | 2022-01-08 | Greene | New York | 36039 | 6805 | 101 |
2094740 | 2094740 | 2022-01-08 | Hamilton | New York | 36041 | 704 | 4 |
2094741 | 2094741 | 2022-01-08 | Herkimer | New York | 36043 | 11053 | 161 |
2094742 | 2094742 | 2022-01-08 | Jefferson | New York | 36045 | 14586 | 119 |
2094743 | 2094743 | 2022-01-08 | Lewis | New York | 36049 | 5067 | 42 |
2094744 | 2094744 | 2022-01-08 | Livingston | New York | 36051 | 9222 | 96 |
2094745 | 2094745 | 2022-01-08 | Madison | New York | 36053 | 9976 | 118 |
2094746 | 2094746 | 2022-01-08 | Monroe | New York | 36055 | 125928 | 1369 |
2094747 | 2094747 | 2022-01-08 | Montgomery | New York | 36057 | 9224 | 178 |
2094748 | 2094748 | 2022-01-08 | Nassau | New York | 36059 | 343597 | 3461 |
2094749 | 2094749 | 2022-01-08 | New York City | New York | 1871370 | 35793 | |
2094750 | 2094750 | 2022-01-08 | Niagara | New York | 36063 | 38617 | 486 |
2094751 | 2094751 | 2022-01-08 | Oneida | New York | 36065 | 42962 | 711 |
2094752 | 2094752 | 2022-01-08 | Onondaga | New York | 36067 | 82087 | 902 |
2094753 | 2094753 | 2022-01-08 | Ontario | New York | 36069 | 15483 | 148 |
2094754 | 2094754 | 2022-01-08 | Orange | New York | 36071 | 87905 | 853 |
2094755 | 2094755 | 2022-01-08 | Orleans | New York | 36073 | 6978 | 104 |
2094756 | 2094756 | 2022-01-08 | Oswego | New York | 36075 | 19048 | 151 |
2094757 | 2094757 | 2022-01-08 | Otsego | New York | 36077 | 7351 | 72 |
2094758 | 2094758 | 2022-01-08 | Putnam | New York | 36079 | 19693 | 106 |
2094759 | 2094759 | 2022-01-08 | Rensselaer | New York | 36083 | 23915 | 219 |
2094760 | 2094760 | 2022-01-08 | Rockland | New York | 36087 | 77349 | 816 |
2094761 | 2094761 | 2022-01-08 | Saratoga | New York | 36091 | 35300 | 277 |
2094762 | 2094762 | 2022-01-08 | Schenectady | New York | 36093 | 25456 | 272 |
2094763 | 2094763 | 2022-01-08 | Schoharie | New York | 36095 | 3736 | 30 |
2094764 | 2094764 | 2022-01-08 | Schuyler | New York | 36097 | 2630 | 23 |
2094765 | 2094765 | 2022-01-08 | Seneca | New York | 36099 | 4334 | 82 |
2094766 | 2094766 | 2022-01-08 | St. Lawrence | New York | 36089 | 16136 | 161 |
2094767 | 2094767 | 2022-01-08 | Steuben | New York | 36101 | 15622 | 221 |
2094768 | 2094768 | 2022-01-08 | Suffolk | New York | 36103 | 366663 | 3909 |
2094769 | 2094769 | 2022-01-08 | Sullivan | New York | 36105 | 14441 | 105 |
2094770 | 2094770 | 2022-01-08 | Tioga | New York | 36107 | 8370 | 79 |
2094771 | 2094771 | 2022-01-08 | Tompkins | New York | 36109 | 13097 | 74 |
2094772 | 2094772 | 2022-01-08 | Ulster | New York | 36111 | 24817 | 316 |
2094773 | 2094773 | 2022-01-08 | Warren | New York | 36113 | 10360 | 109 |
2094774 | 2094774 | 2022-01-08 | Washington | New York | 36115 | 9241 | 94 |
2094775 | 2094775 | 2022-01-08 | Wayne | New York | 36117 | 13386 | 134 |
2094776 | 2094776 | 2022-01-08 | Westchester | New York | 36119 | 211486 | 2450 |
2094777 | 2094777 | 2022-01-08 | Wyoming | New York | 36121 | 6786 | 74 |
2094778 | 2094778 | 2022-01-08 | Yates | New York | 36123 | 2576 | 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);