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 2020-05-25 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips 58
- 36001 1
- 36003 1
- 36007 1
- 36009 1
- 36011 1
- 36013 1
- 36015 1
- 36017 1
- 36019 1
- 36021 1
- 36023 1
- 36025 1
- 36027 1
- 36029 1
- 36031 1
- 36033 1
- 36035 1
- 36037 1
- 36039 1
- 36041 1
- 36043 1
- 36045 1
- 36049 1
- 36051 1
- 36053 1
- 36055 1
- 36057 1
- 36059 1
- 36063 1
- 36065 1
- 36067 1
- 36069 1
- 36071 1
- 36073 1
- 36075 1
- 36077 1
- 36079 1
- 36083 1
- 36087 1
- 36089 1
- 36091 1
- 36093 1
- 36095 1
- 36097 1
- 36099 1
- 36101 1
- 36103 1
- 36105 1
- 36107 1
- 36109 1
- 36111 1
- 36113 1
- 36115 1
- 36117 1
- 36119 1
- 36121 1
- 36123 1
- - 1
county 58
- 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
- Oneida 1
- Onondaga 1
- Ontario 1
- Orange 1
- Orleans 1
- Oswego 1
- Otsego 1
- Putnam 1
- Rensselaer 1
- Rockland 1
- Saratoga 1
- Schenectady 1
- Schoharie 1
- Schuyler 1
- Seneca 1
- St. Lawrence 1
- Steuben 1
- Suffolk 1
- Sullivan 1
- Tioga 1
- Tompkins 1
- Ulster 1
- Warren 1
- Washington 1
- Wayne 1
- Westchester 1
- Wyoming 1
- Yates 1
state 1
- New York · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
177172 | 177172 | 2020-05-25 | Albany | New York | 36001 | 1791 | 141 |
177173 | 177173 | 2020-05-25 | Allegany | New York | 36003 | 44 | 0 |
177174 | 177174 | 2020-05-25 | Broome | New York | 36007 | 519 | 44 |
177175 | 177175 | 2020-05-25 | Cattaraugus | New York | 36009 | 81 | 2 |
177176 | 177176 | 2020-05-25 | Cayuga | New York | 36011 | 77 | 1 |
177177 | 177177 | 2020-05-25 | Chautauqua | New York | 36013 | 75 | 3 |
177178 | 177178 | 2020-05-25 | Chemung | New York | 36015 | 136 | 5 |
177179 | 177179 | 2020-05-25 | Chenango | New York | 36017 | 119 | 2 |
177180 | 177180 | 2020-05-25 | Clinton | New York | 36019 | 95 | 4 |
177181 | 177181 | 2020-05-25 | Columbia | New York | 36021 | 372 | 36 |
177182 | 177182 | 2020-05-25 | Cortland | New York | 36023 | 39 | 0 |
177183 | 177183 | 2020-05-25 | Delaware | New York | 36025 | 77 | 0 |
177184 | 177184 | 2020-05-25 | Dutchess | New York | 36027 | 3825 | 143 |
177185 | 177185 | 2020-05-25 | Erie | New York | 36029 | 5700 | 490 |
177186 | 177186 | 2020-05-25 | Essex | New York | 36031 | 44 | 0 |
177187 | 177187 | 2020-05-25 | Franklin | New York | 36033 | 20 | 0 |
177188 | 177188 | 2020-05-25 | Fulton | New York | 36035 | 196 | 11 |
177189 | 177189 | 2020-05-25 | Genesee | New York | 36037 | 192 | 5 |
177190 | 177190 | 2020-05-25 | Greene | New York | 36039 | 225 | 5 |
177191 | 177191 | 2020-05-25 | Hamilton | New York | 36041 | 5 | 0 |
177192 | 177192 | 2020-05-25 | Herkimer | New York | 36043 | 103 | 1 |
177193 | 177193 | 2020-05-25 | Jefferson | New York | 36045 | 72 | 0 |
177194 | 177194 | 2020-05-25 | Lewis | New York | 36049 | 19 | 0 |
177195 | 177195 | 2020-05-25 | Livingston | New York | 36051 | 115 | 4 |
177196 | 177196 | 2020-05-25 | Madison | New York | 36053 | 303 | 4 |
177197 | 177197 | 2020-05-25 | Monroe | New York | 36055 | 2734 | 200 |
177198 | 177198 | 2020-05-25 | Montgomery | New York | 36057 | 79 | 4 |
177199 | 177199 | 2020-05-25 | Nassau | New York | 36059 | 39907 | 2597 |
177200 | 177200 | 2020-05-25 | New York City | New York | 203569 | 20740 | |
177201 | 177201 | 2020-05-25 | Niagara | New York | 36063 | 955 | 43 |
177202 | 177202 | 2020-05-25 | Oneida | New York | 36065 | 905 | 42 |
177203 | 177203 | 2020-05-25 | Onondaga | New York | 36067 | 1981 | 113 |
177204 | 177204 | 2020-05-25 | Ontario | New York | 36069 | 185 | 12 |
177205 | 177205 | 2020-05-25 | Orange | New York | 36071 | 10259 | 364 |
177206 | 177206 | 2020-05-25 | Orleans | New York | 36073 | 205 | 23 |
177207 | 177207 | 2020-05-25 | Oswego | New York | 36075 | 104 | 0 |
177208 | 177208 | 2020-05-25 | Otsego | New York | 36077 | 69 | 6 |
177209 | 177209 | 2020-05-25 | Putnam | New York | 36079 | 1214 | 59 |
177210 | 177210 | 2020-05-25 | Rensselaer | New York | 36083 | 465 | 32 |
177211 | 177211 | 2020-05-25 | Rockland | New York | 36087 | 12996 | 454 |
177212 | 177212 | 2020-05-25 | Saratoga | New York | 36091 | 461 | 4 |
177213 | 177213 | 2020-05-25 | Schenectady | New York | 36093 | 664 | 29 |
177214 | 177214 | 2020-05-25 | Schoharie | New York | 36095 | 49 | 0 |
177215 | 177215 | 2020-05-25 | Schuyler | New York | 36097 | 11 | 0 |
177216 | 177216 | 2020-05-25 | Seneca | New York | 36099 | 55 | 0 |
177217 | 177217 | 2020-05-25 | St. Lawrence | New York | 36089 | 197 | 2 |
177218 | 177218 | 2020-05-25 | Steuben | New York | 36101 | 240 | 18 |
177219 | 177219 | 2020-05-25 | Suffolk | New York | 36103 | 39090 | 1888 |
177220 | 177220 | 2020-05-25 | Sullivan | New York | 36105 | 1324 | 26 |
177221 | 177221 | 2020-05-25 | Tioga | New York | 36107 | 122 | 18 |
177222 | 177222 | 2020-05-25 | Tompkins | New York | 36109 | 154 | 2 |
177223 | 177223 | 2020-05-25 | Ulster | New York | 36111 | 1632 | 45 |
177224 | 177224 | 2020-05-25 | Warren | New York | 36113 | 251 | 28 |
177225 | 177225 | 2020-05-25 | Washington | New York | 36115 | 228 | 11 |
177226 | 177226 | 2020-05-25 | Wayne | New York | 36117 | 109 | 1 |
177227 | 177227 | 2020-05-25 | Westchester | New York | 36119 | 33048 | 1467 |
177228 | 177228 | 2020-05-25 | Wyoming | New York | 36121 | 82 | 3 |
177229 | 177229 | 2020-05-25 | Yates | New York | 36123 | 37 | 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);