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 2020-04-17 and state = "New York" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
66211 | 66211 | 2020-04-17 | Albany | New York | 36001 | 619 | 26 |
66212 | 66212 | 2020-04-17 | Allegany | New York | 36003 | 29 | 0 |
66213 | 66213 | 2020-04-17 | Broome | New York | 36007 | 178 | 6 |
66214 | 66214 | 2020-04-17 | Cattaraugus | New York | 36009 | 34 | 0 |
66215 | 66215 | 2020-04-17 | Cayuga | New York | 36011 | 36 | 1 |
66216 | 66216 | 2020-04-17 | Chautauqua | New York | 36013 | 25 | 1 |
66217 | 66217 | 2020-04-17 | Chemung | New York | 36015 | 71 | 2 |
66218 | 66218 | 2020-04-17 | Chenango | New York | 36017 | 76 | 0 |
66219 | 66219 | 2020-04-17 | Clinton | New York | 36019 | 47 | 3 |
66220 | 66220 | 2020-04-17 | Columbia | New York | 36021 | 101 | 13 |
66221 | 66221 | 2020-04-17 | Cortland | New York | 36023 | 25 | 0 |
66222 | 66222 | 2020-04-17 | Delaware | New York | 36025 | 48 | 0 |
66223 | 66223 | 2020-04-17 | Dutchess | New York | 36027 | 2142 | 45 |
66224 | 66224 | 2020-04-17 | Erie | New York | 36029 | 1929 | 115 |
66225 | 66225 | 2020-04-17 | Essex | New York | 36031 | 15 | 0 |
66226 | 66226 | 2020-04-17 | Franklin | New York | 36033 | 13 | 0 |
66227 | 66227 | 2020-04-17 | Fulton | New York | 36035 | 27 | 0 |
66228 | 66228 | 2020-04-17 | Genesee | New York | 36037 | 83 | 2 |
66229 | 66229 | 2020-04-17 | Greene | New York | 36039 | 77 | 0 |
66230 | 66230 | 2020-04-17 | Hamilton | New York | 36041 | 3 | 0 |
66231 | 66231 | 2020-04-17 | Herkimer | New York | 36043 | 46 | 1 |
66232 | 66232 | 2020-04-17 | Jefferson | New York | 36045 | 50 | 0 |
66233 | 66233 | 2020-04-17 | Lewis | New York | 36049 | 8 | 0 |
66234 | 66234 | 2020-04-17 | Livingston | New York | 36051 | 34 | 1 |
66235 | 66235 | 2020-04-17 | Madison | New York | 36053 | 105 | 1 |
66236 | 66236 | 2020-04-17 | Monroe | New York | 36055 | 975 | 49 |
66237 | 66237 | 2020-04-17 | Montgomery | New York | 36057 | 33 | 1 |
66238 | 66238 | 2020-04-17 | Nassau | New York | 36059 | 28539 | 1356 |
66239 | 66239 | 2020-04-17 | New York City | New York | 131003 | 12283 | |
66240 | 66240 | 2020-04-17 | Niagara | New York | 36063 | 227 | 8 |
66241 | 66241 | 2020-04-17 | Oneida | New York | 36065 | 261 | 4 |
66242 | 66242 | 2020-04-17 | Onondaga | New York | 36067 | 483 | 15 |
66243 | 66243 | 2020-04-17 | Ontario | New York | 36069 | 67 | 2 |
66244 | 66244 | 2020-04-17 | Orange | New York | 36071 | 6084 | 144 |
66245 | 66245 | 2020-04-17 | Orleans | New York | 36073 | 34 | 0 |
66246 | 66246 | 2020-04-17 | Oswego | New York | 36075 | 45 | 0 |
66247 | 66247 | 2020-04-17 | Otsego | New York | 36077 | 44 | 4 |
66248 | 66248 | 2020-04-17 | Putnam | New York | 36079 | 578 | 29 |
66249 | 66249 | 2020-04-17 | Rensselaer | New York | 36083 | 150 | 9 |
66250 | 66250 | 2020-04-17 | Rockland | New York | 36087 | 8987 | 234 |
66251 | 66251 | 2020-04-17 | Saratoga | New York | 36091 | 236 | 1 |
66252 | 66252 | 2020-04-17 | Schenectady | New York | 36093 | 250 | 17 |
66253 | 66253 | 2020-04-17 | Schoharie | New York | 36095 | 20 | 0 |
66254 | 66254 | 2020-04-17 | Schuyler | New York | 36097 | 6 | 0 |
66255 | 66255 | 2020-04-17 | Seneca | New York | 36099 | 18 | 1 |
66256 | 66256 | 2020-04-17 | St. Lawrence | New York | 36089 | 96 | 1 |
66257 | 66257 | 2020-04-17 | Steuben | New York | 36101 | 154 | 5 |
66258 | 66258 | 2020-04-17 | Suffolk | New York | 36103 | 25035 | 706 |
66259 | 66259 | 2020-04-17 | Sullivan | New York | 36105 | 505 | 7 |
66260 | 66260 | 2020-04-17 | Tioga | New York | 36107 | 30 | 0 |
66261 | 66261 | 2020-04-17 | Tompkins | New York | 36109 | 117 | 2 |
66262 | 66262 | 2020-04-17 | Ulster | New York | 36111 | 788 | 2 |
66263 | 66263 | 2020-04-17 | Unknown | New York | 0 | 630 | |
66264 | 66264 | 2020-04-17 | Warren | New York | 36113 | 91 | 5 |
66265 | 66265 | 2020-04-17 | Washington | New York | 36115 | 48 | 0 |
66266 | 66266 | 2020-04-17 | Wayne | New York | 36117 | 49 | 0 |
66267 | 66267 | 2020-04-17 | Westchester | New York | 36119 | 22476 | 738 |
66268 | 66268 | 2020-04-17 | Wyoming | New York | 36121 | 35 | 3 |
66269 | 66269 | 2020-04-17 | Yates | New York | 36123 | 8 | 0 |
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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);