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 2020-05-05 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
117034 | 117034 | 2020-05-05 | Albany | New York | 36001 | 1294 | 70 |
117035 | 117035 | 2020-05-05 | Allegany | New York | 36003 | 35 | 0 |
117036 | 117036 | 2020-05-05 | Broome | New York | 36007 | 338 | 18 |
117037 | 117037 | 2020-05-05 | Cattaraugus | New York | 36009 | 53 | 1 |
117038 | 117038 | 2020-05-05 | Cayuga | New York | 36011 | 51 | 1 |
117039 | 117039 | 2020-05-05 | Chautauqua | New York | 36013 | 37 | 2 |
117040 | 117040 | 2020-05-05 | Chemung | New York | 36015 | 126 | 3 |
117041 | 117041 | 2020-05-05 | Chenango | New York | 36017 | 100 | 0 |
117042 | 117042 | 2020-05-05 | Clinton | New York | 36019 | 69 | 4 |
117043 | 117043 | 2020-05-05 | Columbia | New York | 36021 | 229 | 18 |
117044 | 117044 | 2020-05-05 | Cortland | New York | 36023 | 28 | 0 |
117045 | 117045 | 2020-05-05 | Delaware | New York | 36025 | 62 | 0 |
117046 | 117046 | 2020-05-05 | Dutchess | New York | 36027 | 3151 | 85 |
117047 | 117047 | 2020-05-05 | Erie | New York | 36029 | 3891 | 264 |
117048 | 117048 | 2020-05-05 | Essex | New York | 36031 | 38 | 0 |
117049 | 117049 | 2020-05-05 | Franklin | New York | 36033 | 16 | 0 |
117050 | 117050 | 2020-05-05 | Fulton | New York | 36035 | 97 | 3 |
117051 | 117051 | 2020-05-05 | Genesee | New York | 36037 | 159 | 2 |
117052 | 117052 | 2020-05-05 | Greene | New York | 36039 | 166 | 1 |
117053 | 117053 | 2020-05-05 | Hamilton | New York | 36041 | 3 | 0 |
117054 | 117054 | 2020-05-05 | Herkimer | New York | 36043 | 67 | 1 |
117055 | 117055 | 2020-05-05 | Jefferson | New York | 36045 | 63 | 0 |
117056 | 117056 | 2020-05-05 | Lewis | New York | 36049 | 9 | 0 |
117057 | 117057 | 2020-05-05 | Livingston | New York | 36051 | 86 | 2 |
117058 | 117058 | 2020-05-05 | Madison | New York | 36053 | 223 | 3 |
117059 | 117059 | 2020-05-05 | Monroe | New York | 36055 | 1624 | 101 |
117060 | 117060 | 2020-05-05 | Montgomery | New York | 36057 | 61 | 1 |
117061 | 117061 | 2020-05-05 | Nassau | New York | 36059 | 37152 | 2250 |
117062 | 117062 | 2020-05-05 | New York City | New York | 182318 | 18719 | |
117063 | 117063 | 2020-05-05 | Niagara | New York | 36063 | 508 | 14 |
117064 | 117064 | 2020-05-05 | Oneida | New York | 36065 | 574 | 17 |
117065 | 117065 | 2020-05-05 | Onondaga | New York | 36067 | 1002 | 44 |
117066 | 117066 | 2020-05-05 | Ontario | New York | 36069 | 97 | 4 |
117067 | 117067 | 2020-05-05 | Orange | New York | 36071 | 9159 | 256 |
117068 | 117068 | 2020-05-05 | Orleans | New York | 36073 | 99 | 6 |
117069 | 117069 | 2020-05-05 | Oswego | New York | 36075 | 68 | 0 |
117070 | 117070 | 2020-05-05 | Otsego | New York | 36077 | 67 | 5 |
117071 | 117071 | 2020-05-05 | Putnam | New York | 36079 | 1031 | 47 |
117072 | 117072 | 2020-05-05 | Rensselaer | New York | 36083 | 339 | 23 |
117073 | 117073 | 2020-05-05 | Rockland | New York | 36087 | 12144 | 383 |
117074 | 117074 | 2020-05-05 | Saratoga | New York | 36091 | 368 | 3 |
117075 | 117075 | 2020-05-05 | Schenectady | New York | 36093 | 537 | 26 |
117076 | 117076 | 2020-05-05 | Schoharie | New York | 36095 | 45 | 0 |
117077 | 117077 | 2020-05-05 | Schuyler | New York | 36097 | 7 | 0 |
117078 | 117078 | 2020-05-05 | Seneca | New York | 36099 | 46 | 1 |
117079 | 117079 | 2020-05-05 | St. Lawrence | New York | 36089 | 178 | 2 |
117080 | 117080 | 2020-05-05 | Steuben | New York | 36101 | 221 | 11 |
117081 | 117081 | 2020-05-05 | Suffolk | New York | 36103 | 35275 | 1347 |
117082 | 117082 | 2020-05-05 | Sullivan | New York | 36105 | 984 | 13 |
117083 | 117083 | 2020-05-05 | Tioga | New York | 36107 | 92 | 8 |
117084 | 117084 | 2020-05-05 | Tompkins | New York | 36109 | 129 | 2 |
117085 | 117085 | 2020-05-05 | Ulster | New York | 36111 | 1357 | 12 |
117086 | 117086 | 2020-05-05 | Warren | New York | 36113 | 192 | 12 |
117087 | 117087 | 2020-05-05 | Washington | New York | 36115 | 188 | 2 |
117088 | 117088 | 2020-05-05 | Wayne | New York | 36117 | 78 | 0 |
117089 | 117089 | 2020-05-05 | Westchester | New York | 36119 | 30239 | 1236 |
117090 | 117090 | 2020-05-05 | Wyoming | New York | 36121 | 70 | 3 |
117091 | 117091 | 2020-05-05 | Yates | New York | 36123 | 19 | 2 |
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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);