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 2020-04-01 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 |
---|---|---|---|---|---|---|---|
25179 | 25179 | 2020-04-01 | Albany | New York | 36001 | 240 | 2 |
25180 | 25180 | 2020-04-01 | Allegany | New York | 36003 | 10 | 1 |
25181 | 25181 | 2020-04-01 | Broome | New York | 36007 | 42 | 4 |
25182 | 25182 | 2020-04-01 | Cattaraugus | New York | 36009 | 7 | 0 |
25183 | 25183 | 2020-04-01 | Cayuga | New York | 36011 | 3 | 0 |
25184 | 25184 | 2020-04-01 | Chautauqua | New York | 36013 | 10 | 1 |
25185 | 25185 | 2020-04-01 | Chemung | New York | 36015 | 22 | 0 |
25186 | 25186 | 2020-04-01 | Chenango | New York | 36017 | 26 | 0 |
25187 | 25187 | 2020-04-01 | Clinton | New York | 36019 | 25 | 0 |
25188 | 25188 | 2020-04-01 | Columbia | New York | 36021 | 41 | 1 |
25189 | 25189 | 2020-04-01 | Cortland | New York | 36023 | 10 | 0 |
25190 | 25190 | 2020-04-01 | Delaware | New York | 36025 | 20 | 0 |
25191 | 25191 | 2020-04-01 | Dutchess | New York | 36027 | 547 | 5 |
25192 | 25192 | 2020-04-01 | Erie | New York | 36029 | 553 | 12 |
25193 | 25193 | 2020-04-01 | Essex | New York | 36031 | 6 | 0 |
25194 | 25194 | 2020-04-01 | Franklin | New York | 36033 | 9 | 0 |
25195 | 25195 | 2020-04-01 | Fulton | New York | 36035 | 2 | 0 |
25196 | 25196 | 2020-04-01 | Genesee | New York | 36037 | 13 | 1 |
25197 | 25197 | 2020-04-01 | Greene | New York | 36039 | 18 | 0 |
25198 | 25198 | 2020-04-01 | Hamilton | New York | 36041 | 2 | 0 |
25199 | 25199 | 2020-04-01 | Herkimer | New York | 36043 | 16 | 2 |
25200 | 25200 | 2020-04-01 | Jefferson | New York | 36045 | 12 | 0 |
25201 | 25201 | 2020-04-01 | Lewis | New York | 36049 | 2 | 0 |
25202 | 25202 | 2020-04-01 | Livingston | New York | 36051 | 14 | 0 |
25203 | 25203 | 2020-04-01 | Madison | New York | 36053 | 67 | 2 |
25204 | 25204 | 2020-04-01 | Monroe | New York | 36055 | 349 | 9 |
25205 | 25205 | 2020-04-01 | Montgomery | New York | 36057 | 7 | 0 |
25206 | 25206 | 2020-04-01 | Nassau | New York | 36059 | 9555 | 76 |
25207 | 25207 | 2020-04-01 | New York City | New York | 47914 | 1848 | |
25208 | 25208 | 2020-04-01 | Niagara | New York | 36063 | 46 | 0 |
25209 | 25209 | 2020-04-01 | Oneida | New York | 36065 | 50 | 1 |
25210 | 25210 | 2020-04-01 | Onondaga | New York | 36067 | 249 | 1 |
25211 | 25211 | 2020-04-01 | Ontario | New York | 36069 | 24 | 0 |
25212 | 25212 | 2020-04-01 | Orange | New York | 36071 | 1756 | 25 |
25213 | 25213 | 2020-04-01 | Orleans | New York | 36073 | 6 | 0 |
25214 | 25214 | 2020-04-01 | Oswego | New York | 36075 | 17 | 2 |
25215 | 25215 | 2020-04-01 | Otsego | New York | 36077 | 19 | 1 |
25216 | 25216 | 2020-04-01 | Putnam | New York | 36079 | 207 | 0 |
25217 | 25217 | 2020-04-01 | Rensselaer | New York | 36083 | 60 | 0 |
25218 | 25218 | 2020-04-01 | Rockland | New York | 36087 | 3321 | 29 |
25219 | 25219 | 2020-04-01 | Saratoga | New York | 36091 | 122 | 1 |
25220 | 25220 | 2020-04-01 | Schenectady | New York | 36093 | 93 | 0 |
25221 | 25221 | 2020-04-01 | Schoharie | New York | 36095 | 8 | 0 |
25222 | 25222 | 2020-04-01 | Schuyler | New York | 36097 | 2 | 0 |
25223 | 25223 | 2020-04-01 | Seneca | New York | 36099 | 2 | 0 |
25224 | 25224 | 2020-04-01 | St. Lawrence | New York | 36089 | 34 | 0 |
25225 | 25225 | 2020-04-01 | Steuben | New York | 36101 | 38 | 0 |
25226 | 25226 | 2020-04-01 | Suffolk | New York | 36103 | 7605 | 69 |
25227 | 25227 | 2020-04-01 | Sullivan | New York | 36105 | 121 | 4 |
25228 | 25228 | 2020-04-01 | Tioga | New York | 36107 | 7 | 0 |
25229 | 25229 | 2020-04-01 | Tompkins | New York | 36109 | 68 | 0 |
25230 | 25230 | 2020-04-01 | Ulster | New York | 36111 | 222 | 3 |
25231 | 25231 | 2020-04-01 | Unknown | New York | 0 | 289 | |
25232 | 25232 | 2020-04-01 | Warren | New York | 36113 | 18 | 0 |
25233 | 25233 | 2020-04-01 | Washington | New York | 36115 | 10 | 0 |
25234 | 25234 | 2020-04-01 | Wayne | New York | 36117 | 24 | 0 |
25235 | 25235 | 2020-04-01 | Westchester | New York | 36119 | 10683 | 25 |
25236 | 25236 | 2020-04-01 | Wyoming | New York | 36121 | 10 | 1 |
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);