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 2021-09-11 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 |
---|---|---|---|---|---|---|---|
1707999 | 1707999 | 2021-09-11 | Albany | New York | 36001 | 27638 | 366 |
1708000 | 1708000 | 2021-09-11 | Allegany | New York | 36003 | 3843 | 91 |
1708001 | 1708001 | 2021-09-11 | Broome | New York | 36007 | 20883 | 376 |
1708002 | 1708002 | 2021-09-11 | Cattaraugus | New York | 36009 | 6467 | 95 |
1708003 | 1708003 | 2021-09-11 | Cayuga | New York | 36011 | 7527 | 100 |
1708004 | 1708004 | 2021-09-11 | Chautauqua | New York | 36013 | 10248 | 153 |
1708005 | 1708005 | 2021-09-11 | Chemung | New York | 36015 | 8591 | 141 |
1708006 | 1708006 | 2021-09-11 | Chenango | New York | 36017 | 4031 | 85 |
1708007 | 1708007 | 2021-09-11 | Clinton | New York | 36019 | 5295 | 33 |
1708008 | 1708008 | 2021-09-11 | Columbia | New York | 36021 | 4474 | 107 |
1708009 | 1708009 | 2021-09-11 | Cortland | New York | 36023 | 4585 | 68 |
1708010 | 1708010 | 2021-09-11 | Delaware | New York | 36025 | 2833 | 40 |
1708011 | 1708011 | 2021-09-11 | Dutchess | New York | 36027 | 32926 | 476 |
1708012 | 1708012 | 2021-09-11 | Erie | New York | 36029 | 96746 | 1862 |
1708013 | 1708013 | 2021-09-11 | Essex | New York | 36031 | 1866 | 29 |
1708014 | 1708014 | 2021-09-11 | Franklin | New York | 36033 | 3201 | 13 |
1708015 | 1708015 | 2021-09-11 | Fulton | New York | 36035 | 5073 | 97 |
1708016 | 1708016 | 2021-09-11 | Genesee | New York | 36037 | 5858 | 125 |
1708017 | 1708017 | 2021-09-11 | Greene | New York | 36039 | 3816 | 82 |
1708018 | 1708018 | 2021-09-11 | Hamilton | New York | 36041 | 396 | 3 |
1708019 | 1708019 | 2021-09-11 | Herkimer | New York | 36043 | 5798 | 114 |
1708020 | 1708020 | 2021-09-11 | Jefferson | New York | 36045 | 7042 | 70 |
1708021 | 1708021 | 2021-09-11 | Lewis | New York | 36049 | 3057 | 36 |
1708022 | 1708022 | 2021-09-11 | Livingston | New York | 36051 | 4992 | 63 |
1708023 | 1708023 | 2021-09-11 | Madison | New York | 36053 | 5199 | 93 |
1708024 | 1708024 | 2021-09-11 | Monroe | New York | 36055 | 76031 | 1145 |
1708025 | 1708025 | 2021-09-11 | Montgomery | New York | 36057 | 4876 | 133 |
1708026 | 1708026 | 2021-09-11 | Nassau | New York | 36059 | 202573 | 3234 |
1708027 | 1708027 | 2021-09-11 | New York City | New York | 1051595 | 33977 | |
1708028 | 1708028 | 2021-09-11 | Niagara | New York | 36063 | 21549 | 379 |
1708029 | 1708029 | 2021-09-11 | Oneida | New York | 36065 | 24830 | 528 |
1708030 | 1708030 | 2021-09-11 | Onondaga | New York | 36067 | 44085 | 694 |
1708031 | 1708031 | 2021-09-11 | Ontario | New York | 36069 | 8233 | 95 |
1708032 | 1708032 | 2021-09-11 | Orange | New York | 36071 | 53363 | 746 |
1708033 | 1708033 | 2021-09-11 | Orleans | New York | 36073 | 3467 | 83 |
1708034 | 1708034 | 2021-09-11 | Oswego | New York | 36075 | 9051 | 98 |
1708035 | 1708035 | 2021-09-11 | Otsego | New York | 36077 | 4008 | 50 |
1708036 | 1708036 | 2021-09-11 | Putnam | New York | 36079 | 11566 | 95 |
1708037 | 1708037 | 2021-09-11 | Rensselaer | New York | 36083 | 12838 | 154 |
1708038 | 1708038 | 2021-09-11 | Rockland | New York | 36087 | 49894 | 766 |
1708039 | 1708039 | 2021-09-11 | Saratoga | New York | 36091 | 17888 | 182 |
1708040 | 1708040 | 2021-09-11 | Schenectady | New York | 36093 | 14854 | 213 |
1708041 | 1708041 | 2021-09-11 | Schoharie | New York | 36095 | 1997 | 20 |
1708042 | 1708042 | 2021-09-11 | Schuyler | New York | 36097 | 1212 | 16 |
1708043 | 1708043 | 2021-09-11 | Seneca | New York | 36099 | 2345 | 58 |
1708044 | 1708044 | 2021-09-11 | St. Lawrence | New York | 36089 | 8226 | 109 |
1708045 | 1708045 | 2021-09-11 | Steuben | New York | 36101 | 7928 | 152 |
1708046 | 1708046 | 2021-09-11 | Suffolk | New York | 36103 | 222256 | 3487 |
1708047 | 1708047 | 2021-09-11 | Sullivan | New York | 36105 | 7578 | 79 |
1708048 | 1708048 | 2021-09-11 | Tioga | New York | 36107 | 4248 | 65 |
1708049 | 1708049 | 2021-09-11 | Tompkins | New York | 36109 | 5621 | 56 |
1708050 | 1708050 | 2021-09-11 | Ulster | New York | 36111 | 15839 | 268 |
1708051 | 1708051 | 2021-09-11 | Warren | New York | 36113 | 4452 | 76 |
1708052 | 1708052 | 2021-09-11 | Washington | New York | 36115 | 3679 | 59 |
1708053 | 1708053 | 2021-09-11 | Wayne | New York | 36117 | 6588 | 76 |
1708054 | 1708054 | 2021-09-11 | Westchester | New York | 36119 | 139047 | 2320 |
1708055 | 1708055 | 2021-09-11 | Wyoming | New York | 36121 | 3804 | 54 |
1708056 | 1708056 | 2021-09-11 | Yates | New York | 36123 | 1328 | 26 |
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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);