ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
59 rows where "date" is on date 2020-04-04 and state = "New York" sorted by state
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 · 59 ✖
Link | rowid | date | county | state ▼ | fips | cases | deaths |
---|---|---|---|---|---|---|---|
32149 | 32149 | 2020-04-04 | Albany | New York | 36001 | 293 | 6 |
32150 | 32150 | 2020-04-04 | Allegany | New York | 36003 | 16 | 1 |
32151 | 32151 | 2020-04-04 | Broome | New York | 36007 | 65 | 4 |
32152 | 32152 | 2020-04-04 | Cattaraugus | New York | 36009 | 8 | 0 |
32153 | 32153 | 2020-04-04 | Cayuga | New York | 36011 | 8 | 0 |
32154 | 32154 | 2020-04-04 | Chautauqua | New York | 36013 | 12 | 0 |
32155 | 32155 | 2020-04-04 | Chemung | New York | 36015 | 36 | 0 |
32156 | 32156 | 2020-04-04 | Chenango | New York | 36017 | 39 | 0 |
32157 | 32157 | 2020-04-04 | Clinton | New York | 36019 | 31 | 0 |
32158 | 32158 | 2020-04-04 | Columbia | New York | 36021 | 61 | 3 |
32159 | 32159 | 2020-04-04 | Cortland | New York | 36023 | 14 | 0 |
32160 | 32160 | 2020-04-04 | Delaware | New York | 36025 | 30 | 1 |
32161 | 32161 | 2020-04-04 | Dutchess | New York | 36027 | 938 | 11 |
32162 | 32162 | 2020-04-04 | Erie | New York | 36029 | 945 | 26 |
32163 | 32163 | 2020-04-04 | Essex | New York | 36031 | 7 | 0 |
32164 | 32164 | 2020-04-04 | Franklin | New York | 36033 | 10 | 0 |
32165 | 32165 | 2020-04-04 | Fulton | New York | 36035 | 9 | 0 |
32166 | 32166 | 2020-04-04 | Genesee | New York | 36037 | 21 | 1 |
32167 | 32167 | 2020-04-04 | Greene | New York | 36039 | 27 | 0 |
32168 | 32168 | 2020-04-04 | Hamilton | New York | 36041 | 2 | 0 |
32169 | 32169 | 2020-04-04 | Herkimer | New York | 36043 | 22 | 3 |
32170 | 32170 | 2020-04-04 | Jefferson | New York | 36045 | 20 | 0 |
32171 | 32171 | 2020-04-04 | Lewis | New York | 36049 | 5 | 0 |
32172 | 32172 | 2020-04-04 | Livingston | New York | 36051 | 18 | 1 |
32173 | 32173 | 2020-04-04 | Madison | New York | 36053 | 77 | 2 |
32174 | 32174 | 2020-04-04 | Monroe | New York | 36055 | 512 | 17 |
32175 | 32175 | 2020-04-04 | Montgomery | New York | 36057 | 13 | 1 |
32176 | 32176 | 2020-04-04 | Nassau | New York | 36059 | 13346 | 396 |
32177 | 32177 | 2020-04-04 | New York City | New York | 64274 | 3221 | |
32178 | 32178 | 2020-04-04 | Niagara | New York | 36063 | 103 | 0 |
32179 | 32179 | 2020-04-04 | Oneida | New York | 36065 | 80 | 2 |
32180 | 32180 | 2020-04-04 | Onondaga | New York | 36067 | 349 | 4 |
32181 | 32181 | 2020-04-04 | Ontario | New York | 36069 | 35 | 0 |
32182 | 32182 | 2020-04-04 | Orange | New York | 36071 | 2741 | 51 |
32183 | 32183 | 2020-04-04 | Orleans | New York | 36073 | 10 | 0 |
32184 | 32184 | 2020-04-04 | Oswego | New York | 36075 | 30 | 2 |
32185 | 32185 | 2020-04-04 | Otsego | New York | 36077 | 26 | 2 |
32186 | 32186 | 2020-04-04 | Putnam | New York | 36079 | 283 | 9 |
32187 | 32187 | 2020-04-04 | Rensselaer | New York | 36083 | 73 | 1 |
32188 | 32188 | 2020-04-04 | Rockland | New York | 36087 | 4872 | 69 |
32189 | 32189 | 2020-04-04 | Saratoga | New York | 36091 | 141 | 1 |
32190 | 32190 | 2020-04-04 | Schenectady | New York | 36093 | 117 | 6 |
32191 | 32191 | 2020-04-04 | Schoharie | New York | 36095 | 11 | 0 |
32192 | 32192 | 2020-04-04 | Schuyler | New York | 36097 | 4 | 0 |
32193 | 32193 | 2020-04-04 | Seneca | New York | 36099 | 6 | 0 |
32194 | 32194 | 2020-04-04 | St. Lawrence | New York | 36089 | 58 | 0 |
32195 | 32195 | 2020-04-04 | Steuben | New York | 36101 | 64 | 1 |
32196 | 32196 | 2020-04-04 | Suffolk | New York | 36103 | 12328 | 175 |
32197 | 32197 | 2020-04-04 | Sullivan | New York | 36105 | 193 | 5 |
32198 | 32198 | 2020-04-04 | Tioga | New York | 36107 | 8 | 0 |
32199 | 32199 | 2020-04-04 | Tompkins | New York | 36109 | 87 | 0 |
32200 | 32200 | 2020-04-04 | Ulster | New York | 36111 | 318 | 4 |
32201 | 32201 | 2020-04-04 | Unknown | New York | 0 | 309 | |
32202 | 32202 | 2020-04-04 | Warren | New York | 36113 | 20 | 1 |
32203 | 32203 | 2020-04-04 | Washington | New York | 36115 | 17 | 1 |
32204 | 32204 | 2020-04-04 | Wayne | New York | 36117 | 30 | 0 |
32205 | 32205 | 2020-04-04 | Westchester | New York | 36119 | 13080 | 197 |
32206 | 32206 | 2020-04-04 | Wyoming | New York | 36121 | 18 | 1 |
32207 | 32207 | 2020-04-04 | Yates | New York | 36123 | 2 | 0 |
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);