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 2021-08-14 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
1617043 | 1617043 | 2021-08-14 | Albany | New York | 36001 | 25741 | 358 |
1617044 | 1617044 | 2021-08-14 | Allegany | New York | 36003 | 3621 | 87 |
1617045 | 1617045 | 2021-08-14 | Broome | New York | 36007 | 19226 | 369 |
1617046 | 1617046 | 2021-08-14 | Cattaraugus | New York | 36009 | 5885 | 94 |
1617047 | 1617047 | 2021-08-14 | Cayuga | New York | 36011 | 6616 | 93 |
1617048 | 1617048 | 2021-08-14 | Chautauqua | New York | 36013 | 9177 | 147 |
1617049 | 1617049 | 2021-08-14 | Chemung | New York | 36015 | 7985 | 137 |
1617050 | 1617050 | 2021-08-14 | Chenango | New York | 36017 | 3684 | 78 |
1617051 | 1617051 | 2021-08-14 | Clinton | New York | 36019 | 4944 | 33 |
1617052 | 1617052 | 2021-08-14 | Columbia | New York | 36021 | 4197 | 104 |
1617053 | 1617053 | 2021-08-14 | Cortland | New York | 36023 | 4066 | 64 |
1617054 | 1617054 | 2021-08-14 | Delaware | New York | 36025 | 2542 | 39 |
1617055 | 1617055 | 2021-08-14 | Dutchess | New York | 36027 | 30713 | 455 |
1617056 | 1617056 | 2021-08-14 | Erie | New York | 36029 | 92076 | 1826 |
1617057 | 1617057 | 2021-08-14 | Essex | New York | 36031 | 1687 | 26 |
1617058 | 1617058 | 2021-08-14 | Franklin | New York | 36033 | 2644 | 12 |
1617059 | 1617059 | 2021-08-14 | Fulton | New York | 36035 | 4563 | 93 |
1617060 | 1617060 | 2021-08-14 | Genesee | New York | 36037 | 5513 | 124 |
1617061 | 1617061 | 2021-08-14 | Greene | New York | 36039 | 3543 | 80 |
1617062 | 1617062 | 2021-08-14 | Hamilton | New York | 36041 | 335 | 2 |
1617063 | 1617063 | 2021-08-14 | Herkimer | New York | 36043 | 5376 | 110 |
1617064 | 1617064 | 2021-08-14 | Jefferson | New York | 36045 | 6375 | 69 |
1617065 | 1617065 | 2021-08-14 | Lewis | New York | 36049 | 2902 | 36 |
1617066 | 1617066 | 2021-08-14 | Livingston | New York | 36051 | 4607 | 60 |
1617067 | 1617067 | 2021-08-14 | Madison | New York | 36053 | 4704 | 89 |
1617068 | 1617068 | 2021-08-14 | Monroe | New York | 36055 | 71477 | 1120 |
1617069 | 1617069 | 2021-08-14 | Montgomery | New York | 36057 | 4397 | 128 |
1617070 | 1617070 | 2021-08-14 | Nassau | New York | 36059 | 191875 | 3193 |
1617071 | 1617071 | 2021-08-14 | New York City | New York | 1000703 | 33645 | |
1617072 | 1617072 | 2021-08-14 | Niagara | New York | 36063 | 20552 | 376 |
1617073 | 1617073 | 2021-08-14 | Oneida | New York | 36065 | 23241 | 521 |
1617074 | 1617074 | 2021-08-14 | Onondaga | New York | 36067 | 40520 | 681 |
1617075 | 1617075 | 2021-08-14 | Ontario | New York | 36069 | 7649 | 93 |
1617076 | 1617076 | 2021-08-14 | Orange | New York | 36071 | 50349 | 726 |
1617077 | 1617077 | 2021-08-14 | Orleans | New York | 36073 | 3211 | 83 |
1617078 | 1617078 | 2021-08-14 | Oswego | New York | 36075 | 7957 | 93 |
1617079 | 1617079 | 2021-08-14 | Otsego | New York | 36077 | 3617 | 47 |
1617080 | 1617080 | 2021-08-14 | Putnam | New York | 36079 | 10975 | 93 |
1617081 | 1617081 | 2021-08-14 | Rensselaer | New York | 36083 | 11793 | 146 |
1617082 | 1617082 | 2021-08-14 | Rockland | New York | 36087 | 48302 | 760 |
1617083 | 1617083 | 2021-08-14 | Saratoga | New York | 36091 | 16359 | 172 |
1617084 | 1617084 | 2021-08-14 | Schenectady | New York | 36093 | 13794 | 208 |
1617085 | 1617085 | 2021-08-14 | Schoharie | New York | 36095 | 1806 | 19 |
1617086 | 1617086 | 2021-08-14 | Schuyler | New York | 36097 | 1098 | 14 |
1617087 | 1617087 | 2021-08-14 | Seneca | New York | 36099 | 2082 | 57 |
1617088 | 1617088 | 2021-08-14 | St. Lawrence | New York | 36089 | 6944 | 97 |
1617089 | 1617089 | 2021-08-14 | Steuben | New York | 36101 | 7096 | 148 |
1617090 | 1617090 | 2021-08-14 | Suffolk | New York | 36103 | 208796 | 3426 |
1617091 | 1617091 | 2021-08-14 | Sullivan | New York | 36105 | 6989 | 76 |
1617092 | 1617092 | 2021-08-14 | Tioga | New York | 36107 | 3966 | 63 |
1617093 | 1617093 | 2021-08-14 | Tompkins | New York | 36109 | 4628 | 54 |
1617094 | 1617094 | 2021-08-14 | Ulster | New York | 36111 | 14506 | 258 |
1617095 | 1617095 | 2021-08-14 | Warren | New York | 36113 | 3935 | 64 |
1617096 | 1617096 | 2021-08-14 | Washington | New York | 36115 | 3306 | 56 |
1617097 | 1617097 | 2021-08-14 | Wayne | New York | 36117 | 6009 | 73 |
1617098 | 1617098 | 2021-08-14 | Westchester | New York | 36119 | 133812 | 2300 |
1617099 | 1617099 | 2021-08-14 | Wyoming | New York | 36121 | 3649 | 53 |
1617100 | 1617100 | 2021-08-14 | Yates | New York | 36123 | 1206 | 26 |
Advanced export
JSON shape: default, array, newline-delimited
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);