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 2020-10-04 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
597815 | 597815 | 2020-10-04 | Albany | New York | 36001 | 3190 | 123 |
597816 | 597816 | 2020-10-04 | Allegany | New York | 36003 | 124 | 4 |
597817 | 597817 | 2020-10-04 | Broome | New York | 36007 | 1947 | 85 |
597818 | 597818 | 2020-10-04 | Cattaraugus | New York | 36009 | 303 | 9 |
597819 | 597819 | 2020-10-04 | Cayuga | New York | 36011 | 231 | 2 |
597820 | 597820 | 2020-10-04 | Chautauqua | New York | 36013 | 629 | 4 |
597821 | 597821 | 2020-10-04 | Chemung | New York | 36015 | 721 | 6 |
597822 | 597822 | 2020-10-04 | Chenango | New York | 36017 | 261 | 6 |
597823 | 597823 | 2020-10-04 | Clinton | New York | 36019 | 166 | 5 |
597824 | 597824 | 2020-10-04 | Columbia | New York | 36021 | 608 | 47 |
597825 | 597825 | 2020-10-04 | Cortland | New York | 36023 | 223 | 1 |
597826 | 597826 | 2020-10-04 | Delaware | New York | 36025 | 141 | 5 |
597827 | 597827 | 2020-10-04 | Dutchess | New York | 36027 | 5179 | 158 |
597828 | 597828 | 2020-10-04 | Erie | New York | 36029 | 11767 | 632 |
597829 | 597829 | 2020-10-04 | Essex | New York | 36031 | 178 | 14 |
597830 | 597830 | 2020-10-04 | Franklin | New York | 36033 | 70 | 1 |
597831 | 597831 | 2020-10-04 | Fulton | New York | 36035 | 347 | 28 |
597832 | 597832 | 2020-10-04 | Genesee | New York | 36037 | 344 | 6 |
597833 | 597833 | 2020-10-04 | Greene | New York | 36039 | 347 | 15 |
597834 | 597834 | 2020-10-04 | Hamilton | New York | 36041 | 15 | 1 |
597835 | 597835 | 2020-10-04 | Herkimer | New York | 36043 | 346 | 10 |
597836 | 597836 | 2020-10-04 | Jefferson | New York | 36045 | 176 | 1 |
597837 | 597837 | 2020-10-04 | Lewis | New York | 36049 | 51 | 5 |
597838 | 597838 | 2020-10-04 | Livingston | New York | 36051 | 211 | 6 |
597839 | 597839 | 2020-10-04 | Madison | New York | 36053 | 503 | 9 |
597840 | 597840 | 2020-10-04 | Monroe | New York | 36055 | 6207 | 260 |
597841 | 597841 | 2020-10-04 | Montgomery | New York | 36057 | 238 | 9 |
597842 | 597842 | 2020-10-04 | Nassau | New York | 36059 | 47246 | 2204 |
597843 | 597843 | 2020-10-04 | New York City | New York | 251119 | 23852 | |
597844 | 597844 | 2020-10-04 | Niagara | New York | 36063 | 1828 | 89 |
597845 | 597845 | 2020-10-04 | Oneida | New York | 36065 | 2478 | 124 |
597846 | 597846 | 2020-10-04 | Onondaga | New York | 36067 | 4537 | 182 |
597847 | 597847 | 2020-10-04 | Ontario | New York | 36069 | 489 | 28 |
597848 | 597848 | 2020-10-04 | Orange | New York | 36071 | 12409 | 413 |
597849 | 597849 | 2020-10-04 | Orleans | New York | 36073 | 337 | 55 |
597850 | 597850 | 2020-10-04 | Oswego | New York | 36075 | 521 | 3 |
597851 | 597851 | 2020-10-04 | Otsego | New York | 36077 | 346 | 4 |
597852 | 597852 | 2020-10-04 | Putnam | New York | 36079 | 1650 | 63 |
597853 | 597853 | 2020-10-04 | Rensselaer | New York | 36083 | 944 | 42 |
597854 | 597854 | 2020-10-04 | Rockland | New York | 36087 | 16016 | 509 |
597855 | 597855 | 2020-10-04 | Saratoga | New York | 36091 | 1095 | 15 |
597856 | 597856 | 2020-10-04 | Schenectady | New York | 36093 | 1429 | 47 |
597857 | 597857 | 2020-10-04 | Schoharie | New York | 36095 | 86 | 2 |
597858 | 597858 | 2020-10-04 | Schuyler | New York | 36097 | 51 | 0 |
597859 | 597859 | 2020-10-04 | Seneca | New York | 36099 | 110 | 1 |
597860 | 597860 | 2020-10-04 | St. Lawrence | New York | 36089 | 335 | 4 |
597861 | 597861 | 2020-10-04 | Steuben | New York | 36101 | 534 | 50 |
597862 | 597862 | 2020-10-04 | Suffolk | New York | 36103 | 46842 | 2015 |
597863 | 597863 | 2020-10-04 | Sullivan | New York | 36105 | 1615 | 37 |
597864 | 597864 | 2020-10-04 | Tioga | New York | 36107 | 274 | 23 |
597865 | 597865 | 2020-10-04 | Tompkins | New York | 36109 | 445 | 0 |
597866 | 597866 | 2020-10-04 | Ulster | New York | 36111 | 2315 | 84 |
597867 | 597867 | 2020-10-04 | Warren | New York | 36113 | 413 | 30 |
597868 | 597868 | 2020-10-04 | Washington | New York | 36115 | 307 | 14 |
597869 | 597869 | 2020-10-04 | Wayne | New York | 36117 | 332 | 3 |
597870 | 597870 | 2020-10-04 | Westchester | New York | 36119 | 38474 | 1457 |
597871 | 597871 | 2020-10-04 | Wyoming | New York | 36121 | 141 | 5 |
597872 | 597872 | 2020-10-04 | Yates | New York | 36123 | 66 | 6 |
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);