ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
58 rows where date = "2020-06-25" and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
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 |
---|---|---|---|---|---|---|---|
273126 | 273126 | 2020-06-25 | Albany | New York | 36001 | 2076 | 159 |
273127 | 273127 | 2020-06-25 | Allegany | New York | 36003 | 58 | 0 |
273128 | 273128 | 2020-06-25 | Broome | New York | 36007 | 680 | 61 |
273129 | 273129 | 2020-06-25 | Cattaraugus | New York | 36009 | 121 | 5 |
273130 | 273130 | 2020-06-25 | Cayuga | New York | 36011 | 109 | 1 |
273131 | 273131 | 2020-06-25 | Chautauqua | New York | 36013 | 121 | 4 |
273132 | 273132 | 2020-06-25 | Chemung | New York | 36015 | 139 | 5 |
273133 | 273133 | 2020-06-25 | Chenango | New York | 36017 | 144 | 3 |
273134 | 273134 | 2020-06-25 | Clinton | New York | 36019 | 101 | 4 |
273135 | 273135 | 2020-06-25 | Columbia | New York | 36021 | 455 | 43 |
273136 | 273136 | 2020-06-25 | Cortland | New York | 36023 | 44 | 0 |
273137 | 273137 | 2020-06-25 | Delaware | New York | 36025 | 91 | 0 |
273138 | 273138 | 2020-06-25 | Dutchess | New York | 36027 | 4176 | 159 |
273139 | 273139 | 2020-06-25 | Erie | New York | 36029 | 7138 | 594 |
273140 | 273140 | 2020-06-25 | Essex | New York | 36031 | 49 | 0 |
273141 | 273141 | 2020-06-25 | Franklin | New York | 36033 | 28 | 0 |
273142 | 273142 | 2020-06-25 | Fulton | New York | 36035 | 244 | 18 |
273143 | 273143 | 2020-06-25 | Genesee | New York | 36037 | 231 | 6 |
273144 | 273144 | 2020-06-25 | Greene | New York | 36039 | 257 | 5 |
273145 | 273145 | 2020-06-25 | Hamilton | New York | 36041 | 6 | 0 |
273146 | 273146 | 2020-06-25 | Herkimer | New York | 36043 | 143 | 1 |
273147 | 273147 | 2020-06-25 | Jefferson | New York | 36045 | 85 | 0 |
273148 | 273148 | 2020-06-25 | Lewis | New York | 36049 | 25 | 0 |
273149 | 273149 | 2020-06-25 | Livingston | New York | 36051 | 126 | 4 |
273150 | 273150 | 2020-06-25 | Madison | New York | 36053 | 349 | 4 |
273151 | 273151 | 2020-06-25 | Monroe | New York | 36055 | 3603 | 258 |
273152 | 273152 | 2020-06-25 | Montgomery | New York | 36057 | 111 | 5 |
273153 | 273153 | 2020-06-25 | Nassau | New York | 36059 | 41646 | 2688 |
273154 | 273154 | 2020-06-25 | New York City | New York | 218429 | 21856 | |
273155 | 273155 | 2020-06-25 | Niagara | New York | 36063 | 1203 | 66 |
273156 | 273156 | 2020-06-25 | Oneida | New York | 36065 | 1479 | 90 |
273157 | 273157 | 2020-06-25 | Onondaga | New York | 36067 | 2751 | 174 |
273158 | 273158 | 2020-06-25 | Ontario | New York | 36069 | 248 | 25 |
273159 | 273159 | 2020-06-25 | Orange | New York | 36071 | 10694 | 397 |
273160 | 273160 | 2020-06-25 | Orleans | New York | 36073 | 279 | 38 |
273161 | 273161 | 2020-06-25 | Oswego | New York | 36075 | 191 | 0 |
273162 | 273162 | 2020-06-25 | Otsego | New York | 36077 | 83 | 6 |
273163 | 273163 | 2020-06-25 | Putnam | New York | 36079 | 1311 | 60 |
273164 | 273164 | 2020-06-25 | Rensselaer | New York | 36083 | 541 | 37 |
273165 | 273165 | 2020-06-25 | Rockland | New York | 36087 | 13549 | 469 |
273166 | 273166 | 2020-06-25 | Saratoga | New York | 36091 | 540 | 5 |
273167 | 273167 | 2020-06-25 | Schenectady | New York | 36093 | 778 | 34 |
273168 | 273168 | 2020-06-25 | Schoharie | New York | 36095 | 57 | 0 |
273169 | 273169 | 2020-06-25 | Schuyler | New York | 36097 | 12 | 0 |
273170 | 273170 | 2020-06-25 | Seneca | New York | 36099 | 66 | 0 |
273171 | 273171 | 2020-06-25 | St. Lawrence | New York | 36089 | 217 | 3 |
273172 | 273172 | 2020-06-25 | Steuben | New York | 36101 | 264 | 19 |
273173 | 273173 | 2020-06-25 | Suffolk | New York | 36103 | 41151 | 2022 |
273174 | 273174 | 2020-06-25 | Sullivan | New York | 36105 | 1448 | 31 |
273175 | 273175 | 2020-06-25 | Tioga | New York | 36107 | 141 | 18 |
273176 | 273176 | 2020-06-25 | Tompkins | New York | 36109 | 175 | 2 |
273177 | 273177 | 2020-06-25 | Ulster | New York | 36111 | 1765 | 49 |
273178 | 273178 | 2020-06-25 | Warren | New York | 36113 | 263 | 31 |
273179 | 273179 | 2020-06-25 | Washington | New York | 36115 | 245 | 11 |
273180 | 273180 | 2020-06-25 | Wayne | New York | 36117 | 154 | 1 |
273181 | 273181 | 2020-06-25 | Westchester | New York | 36119 | 34641 | 1549 |
273182 | 273182 | 2020-06-25 | Wyoming | New York | 36121 | 93 | 3 |
273183 | 273183 | 2020-06-25 | Yates | New York | 36123 | 44 | 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);