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 2020-07-23 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 |
---|---|---|---|---|---|---|---|
362056 | 362056 | 2020-07-23 | Albany | New York | 36001 | 2401 | 166 |
362057 | 362057 | 2020-07-23 | Allegany | New York | 36003 | 72 | 0 |
362058 | 362058 | 2020-07-23 | Broome | New York | 36007 | 934 | 70 |
362059 | 362059 | 2020-07-23 | Cattaraugus | New York | 36009 | 148 | 5 |
362060 | 362060 | 2020-07-23 | Cayuga | New York | 36011 | 135 | 1 |
362061 | 362061 | 2020-07-23 | Chautauqua | New York | 36013 | 212 | 4 |
362062 | 362062 | 2020-07-23 | Chemung | New York | 36015 | 157 | 5 |
362063 | 362063 | 2020-07-23 | Chenango | New York | 36017 | 194 | 3 |
362064 | 362064 | 2020-07-23 | Clinton | New York | 36019 | 114 | 4 |
362065 | 362065 | 2020-07-23 | Columbia | New York | 36021 | 497 | 43 |
362066 | 362066 | 2020-07-23 | Cortland | New York | 36023 | 80 | 0 |
362067 | 362067 | 2020-07-23 | Delaware | New York | 36025 | 95 | 0 |
362068 | 362068 | 2020-07-23 | Dutchess | New York | 36027 | 4400 | 162 |
362069 | 362069 | 2020-07-23 | Erie | New York | 36029 | 8187 | 614 |
362070 | 362070 | 2020-07-23 | Essex | New York | 36031 | 62 | 0 |
362071 | 362071 | 2020-07-23 | Franklin | New York | 36033 | 42 | 1 |
362072 | 362072 | 2020-07-23 | Fulton | New York | 36035 | 268 | 19 |
362073 | 362073 | 2020-07-23 | Genesee | New York | 36037 | 260 | 6 |
362074 | 362074 | 2020-07-23 | Greene | New York | 36039 | 273 | 5 |
362075 | 362075 | 2020-07-23 | Hamilton | New York | 36041 | 6 | 0 |
362076 | 362076 | 2020-07-23 | Herkimer | New York | 36043 | 213 | 1 |
362077 | 362077 | 2020-07-23 | Jefferson | New York | 36045 | 120 | 0 |
362078 | 362078 | 2020-07-23 | Lewis | New York | 36049 | 34 | 0 |
362079 | 362079 | 2020-07-23 | Livingston | New York | 36051 | 161 | 4 |
362080 | 362080 | 2020-07-23 | Madison | New York | 36053 | 388 | 6 |
362081 | 362081 | 2020-07-23 | Monroe | New York | 36055 | 4512 | 266 |
362082 | 362082 | 2020-07-23 | Montgomery | New York | 36057 | 145 | 5 |
362083 | 362083 | 2020-07-23 | Nassau | New York | 36059 | 42816 | 2705 |
362084 | 362084 | 2020-07-23 | New York City | New York | 227517 | 22934 | |
362085 | 362085 | 2020-07-23 | Niagara | New York | 36063 | 1405 | 68 |
362086 | 362086 | 2020-07-23 | Oneida | New York | 36065 | 1980 | 108 |
362087 | 362087 | 2020-07-23 | Onondaga | New York | 36067 | 3344 | 185 |
362088 | 362088 | 2020-07-23 | Ontario | New York | 36069 | 334 | 26 |
362089 | 362089 | 2020-07-23 | Orange | New York | 36071 | 10983 | 403 |
362090 | 362090 | 2020-07-23 | Orleans | New York | 36073 | 288 | 41 |
362091 | 362091 | 2020-07-23 | Oswego | New York | 36075 | 234 | 0 |
362092 | 362092 | 2020-07-23 | Otsego | New York | 36077 | 102 | 6 |
362093 | 362093 | 2020-07-23 | Putnam | New York | 36079 | 1397 | 61 |
362094 | 362094 | 2020-07-23 | Rensselaer | New York | 36083 | 669 | 39 |
362095 | 362095 | 2020-07-23 | Rockland | New York | 36087 | 13820 | 470 |
362096 | 362096 | 2020-07-23 | Saratoga | New York | 36091 | 663 | 5 |
362097 | 362097 | 2020-07-23 | Schenectady | New York | 36093 | 946 | 34 |
362098 | 362098 | 2020-07-23 | Schoharie | New York | 36095 | 66 | 0 |
362099 | 362099 | 2020-07-23 | Schuyler | New York | 36097 | 20 | 0 |
362100 | 362100 | 2020-07-23 | Seneca | New York | 36099 | 80 | 0 |
362101 | 362101 | 2020-07-23 | St. Lawrence | New York | 36089 | 253 | 4 |
362102 | 362102 | 2020-07-23 | Steuben | New York | 36101 | 284 | 19 |
362103 | 362103 | 2020-07-23 | Suffolk | New York | 36103 | 42715 | 2042 |
362104 | 362104 | 2020-07-23 | Sullivan | New York | 36105 | 1475 | 32 |
362105 | 362105 | 2020-07-23 | Tioga | New York | 36107 | 175 | 19 |
362106 | 362106 | 2020-07-23 | Tompkins | New York | 36109 | 213 | 2 |
362107 | 362107 | 2020-07-23 | Ulster | New York | 36111 | 1911 | 49 |
362108 | 362108 | 2020-07-23 | Warren | New York | 36113 | 290 | 31 |
362109 | 362109 | 2020-07-23 | Washington | New York | 36115 | 252 | 11 |
362110 | 362110 | 2020-07-23 | Wayne | New York | 36117 | 238 | 1 |
362111 | 362111 | 2020-07-23 | Westchester | New York | 36119 | 35666 | 1576 |
362112 | 362112 | 2020-07-23 | Wyoming | New York | 36121 | 108 | 3 |
362113 | 362113 | 2020-07-23 | Yates | New York | 36123 | 51 | 6 |
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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);