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 2022-04-07 and state = "New York" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
2384201 | 2384201 | 2022-04-07 | Albany | New York | 36001 | 59192 | 510 |
2384202 | 2384202 | 2022-04-07 | Allegany | New York | 36003 | 8938 | 154 |
2384203 | 2384203 | 2022-04-07 | Broome | New York | 36007 | 45450 | 513 |
2384204 | 2384204 | 2022-04-07 | Cattaraugus | New York | 36009 | 15449 | 221 |
2384205 | 2384205 | 2022-04-07 | Cayuga | New York | 36011 | 16418 | 147 |
2384206 | 2384206 | 2022-04-07 | Chautauqua | New York | 36013 | 23574 | 298 |
2384207 | 2384207 | 2022-04-07 | Chemung | New York | 36015 | 21373 | 230 |
2384208 | 2384208 | 2022-04-07 | Chenango | New York | 36017 | 9323 | 120 |
2384209 | 2384209 | 2022-04-07 | Clinton | New York | 36019 | 16825 | 86 |
2384210 | 2384210 | 2022-04-07 | Columbia | New York | 36021 | 10088 | 140 |
2384211 | 2384211 | 2022-04-07 | Cortland | New York | 36023 | 10703 | 116 |
2384212 | 2384212 | 2022-04-07 | Delaware | New York | 36025 | 7806 | 69 |
2384213 | 2384213 | 2022-04-07 | Dutchess | New York | 36027 | 64095 | 655 |
2384214 | 2384214 | 2022-04-07 | Erie | New York | 36029 | 209268 | 2609 |
2384215 | 2384215 | 2022-04-07 | Essex | New York | 36031 | 5720 | 58 |
2384216 | 2384216 | 2022-04-07 | Franklin | New York | 36033 | 9539 | 44 |
2384217 | 2384217 | 2022-04-07 | Fulton | New York | 36035 | 12659 | 169 |
2384218 | 2384218 | 2022-04-07 | Genesee | New York | 36037 | 13669 | 185 |
2384219 | 2384219 | 2022-04-07 | Greene | New York | 36039 | 8651 | 125 |
2384220 | 2384220 | 2022-04-07 | Hamilton | New York | 36041 | 874 | 5 |
2384221 | 2384221 | 2022-04-07 | Herkimer | New York | 36043 | 13861 | 190 |
2384222 | 2384222 | 2022-04-07 | Jefferson | New York | 36045 | 20116 | 136 |
2384223 | 2384223 | 2022-04-07 | Lewis | New York | 36049 | 6154 | 49 |
2384224 | 2384224 | 2022-04-07 | Livingston | New York | 36051 | 11646 | 115 |
2384225 | 2384225 | 2022-04-07 | Madison | New York | 36053 | 13292 | 126 |
2384226 | 2384226 | 2022-04-07 | Monroe | New York | 36055 | 152442 | 1551 |
2384227 | 2384227 | 2022-04-07 | Montgomery | New York | 36057 | 11917 | 203 |
2384228 | 2384228 | 2022-04-07 | Nassau | New York | 36059 | 404538 | 3824 |
2384229 | 2384229 | 2022-04-07 | New York City | New York | 2318643 | 40100 | |
2384230 | 2384230 | 2022-04-07 | Niagara | New York | 36063 | 47936 | 571 |
2384231 | 2384231 | 2022-04-07 | Oneida | New York | 36065 | 53644 | 782 |
2384232 | 2384232 | 2022-04-07 | Onondaga | New York | 36067 | 113728 | 1046 |
2384233 | 2384233 | 2022-04-07 | Ontario | New York | 36069 | 20044 | 175 |
2384234 | 2384234 | 2022-04-07 | Orange | New York | 36071 | 106843 | 947 |
2384235 | 2384235 | 2022-04-07 | Orleans | New York | 36073 | 8617 | 113 |
2384236 | 2384236 | 2022-04-07 | Oswego | New York | 36075 | 26562 | 184 |
2384237 | 2384237 | 2022-04-07 | Otsego | New York | 36077 | 9959 | 88 |
2384238 | 2384238 | 2022-04-07 | Putnam | New York | 36079 | 23713 | 121 |
2384239 | 2384239 | 2022-04-07 | Rensselaer | New York | 36083 | 31492 | 248 |
2384240 | 2384240 | 2022-04-07 | Rockland | New York | 36087 | 92550 | 891 |
2384241 | 2384241 | 2022-04-07 | Saratoga | New York | 36091 | 46210 | 327 |
2384242 | 2384242 | 2022-04-07 | Schenectady | New York | 36093 | 33002 | 297 |
2384243 | 2384243 | 2022-04-07 | Schoharie | New York | 36095 | 5019 | 35 |
2384244 | 2384244 | 2022-04-07 | Schuyler | New York | 36097 | 3501 | 25 |
2384245 | 2384245 | 2022-04-07 | Seneca | New York | 36099 | 5985 | 89 |
2384246 | 2384246 | 2022-04-07 | St. Lawrence | New York | 36089 | 21311 | 183 |
2384247 | 2384247 | 2022-04-07 | Steuben | New York | 36101 | 19941 | 248 |
2384248 | 2384248 | 2022-04-07 | Suffolk | New York | 36103 | 427155 | 4367 |
2384249 | 2384249 | 2022-04-07 | Sullivan | New York | 36105 | 18429 | 129 |
2384250 | 2384250 | 2022-04-07 | Tioga | New York | 36107 | 10778 | 82 |
2384251 | 2384251 | 2022-04-07 | Tompkins | New York | 36109 | 18938 | 84 |
2384252 | 2384252 | 2022-04-07 | Ulster | New York | 36111 | 31821 | 361 |
2384253 | 2384253 | 2022-04-07 | Warren | New York | 36113 | 13659 | 125 |
2384254 | 2384254 | 2022-04-07 | Washington | New York | 36115 | 12092 | 113 |
2384255 | 2384255 | 2022-04-07 | Wayne | New York | 36117 | 17307 | 172 |
2384256 | 2384256 | 2022-04-07 | Westchester | New York | 36119 | 251676 | 2706 |
2384257 | 2384257 | 2022-04-07 | Wyoming | New York | 36121 | 8281 | 82 |
2384258 | 2384258 | 2022-04-07 | Yates | New York | 36123 | 3393 | 39 |
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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);