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 2020-09-14 and state = "New York" sorted by rowid
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Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
533025 | 533025 | 2020-09-14 | Albany | New York | 36001 | 2921 | 123 |
533026 | 533026 | 2020-09-14 | Allegany | New York | 36003 | 94 | 2 |
533027 | 533027 | 2020-09-14 | Broome | New York | 36007 | 1420 | 85 |
533028 | 533028 | 2020-09-14 | Cattaraugus | New York | 36009 | 242 | 6 |
533029 | 533029 | 2020-09-14 | Cayuga | New York | 36011 | 190 | 2 |
533030 | 533030 | 2020-09-14 | Chautauqua | New York | 36013 | 516 | 4 |
533031 | 533031 | 2020-09-14 | Chemung | New York | 36015 | 251 | 2 |
533032 | 533032 | 2020-09-14 | Chenango | New York | 36017 | 245 | 6 |
533033 | 533033 | 2020-09-14 | Clinton | New York | 36019 | 153 | 5 |
533034 | 533034 | 2020-09-14 | Columbia | New York | 36021 | 577 | 47 |
533035 | 533035 | 2020-09-14 | Cortland | New York | 36023 | 132 | 1 |
533036 | 533036 | 2020-09-14 | Delaware | New York | 36025 | 128 | 4 |
533037 | 533037 | 2020-09-14 | Dutchess | New York | 36027 | 4994 | 154 |
533038 | 533038 | 2020-09-14 | Erie | New York | 36029 | 10668 | 616 |
533039 | 533039 | 2020-09-14 | Essex | New York | 36031 | 159 | 11 |
533040 | 533040 | 2020-09-14 | Franklin | New York | 36033 | 63 | 1 |
533041 | 533041 | 2020-09-14 | Fulton | New York | 36035 | 320 | 28 |
533042 | 533042 | 2020-09-14 | Genesee | New York | 36037 | 307 | 6 |
533043 | 533043 | 2020-09-14 | Greene | New York | 36039 | 318 | 14 |
533044 | 533044 | 2020-09-14 | Hamilton | New York | 36041 | 14 | 1 |
533045 | 533045 | 2020-09-14 | Herkimer | New York | 36043 | 313 | 10 |
533046 | 533046 | 2020-09-14 | Jefferson | New York | 36045 | 158 | 1 |
533047 | 533047 | 2020-09-14 | Lewis | New York | 36049 | 50 | 5 |
533048 | 533048 | 2020-09-14 | Livingston | New York | 36051 | 196 | 6 |
533049 | 533049 | 2020-09-14 | Madison | New York | 36053 | 478 | 9 |
533050 | 533050 | 2020-09-14 | Monroe | New York | 36055 | 5765 | 258 |
533051 | 533051 | 2020-09-14 | Montgomery | New York | 36057 | 218 | 9 |
533052 | 533052 | 2020-09-14 | Nassau | New York | 36059 | 45763 | 2200 |
533053 | 533053 | 2020-09-14 | New York City | New York | 242754 | 23750 | |
533054 | 533054 | 2020-09-14 | Niagara | New York | 36063 | 1689 | 89 |
533055 | 533055 | 2020-09-14 | Oneida | New York | 36065 | 2348 | 120 |
533056 | 533056 | 2020-09-14 | Onondaga | New York | 36067 | 4096 | 180 |
533057 | 533057 | 2020-09-14 | Ontario | New York | 36069 | 443 | 28 |
533058 | 533058 | 2020-09-14 | Orange | New York | 36071 | 11667 | 411 |
533059 | 533059 | 2020-09-14 | Orleans | New York | 36073 | 321 | 55 |
533060 | 533060 | 2020-09-14 | Oswego | New York | 36075 | 390 | 3 |
533061 | 533061 | 2020-09-14 | Otsego | New York | 36077 | 314 | 4 |
533062 | 533062 | 2020-09-14 | Putnam | New York | 36079 | 1561 | 63 |
533063 | 533063 | 2020-09-14 | Rensselaer | New York | 36083 | 879 | 42 |
533064 | 533064 | 2020-09-14 | Rockland | New York | 36087 | 14581 | 509 |
533065 | 533065 | 2020-09-14 | Saratoga | New York | 36091 | 964 | 15 |
533066 | 533066 | 2020-09-14 | Schenectady | New York | 36093 | 1357 | 46 |
533067 | 533067 | 2020-09-14 | Schoharie | New York | 36095 | 82 | 2 |
533068 | 533068 | 2020-09-14 | Schuyler | New York | 36097 | 32 | 0 |
533069 | 533069 | 2020-09-14 | Seneca | New York | 36099 | 104 | 1 |
533070 | 533070 | 2020-09-14 | St. Lawrence | New York | 36089 | 307 | 4 |
533071 | 533071 | 2020-09-14 | Steuben | New York | 36101 | 326 | 39 |
533072 | 533072 | 2020-09-14 | Suffolk | New York | 36103 | 45714 | 2010 |
533073 | 533073 | 2020-09-14 | Sullivan | New York | 36105 | 1557 | 37 |
533074 | 533074 | 2020-09-14 | Tioga | New York | 36107 | 221 | 21 |
533075 | 533075 | 2020-09-14 | Tompkins | New York | 36109 | 382 | 0 |
533076 | 533076 | 2020-09-14 | Ulster | New York | 36111 | 2219 | 83 |
533077 | 533077 | 2020-09-14 | Warren | New York | 36113 | 348 | 30 |
533078 | 533078 | 2020-09-14 | Washington | New York | 36115 | 284 | 14 |
533079 | 533079 | 2020-09-14 | Wayne | New York | 36117 | 303 | 3 |
533080 | 533080 | 2020-09-14 | Westchester | New York | 36119 | 37570 | 1453 |
533081 | 533081 | 2020-09-14 | Wyoming | New York | 36121 | 130 | 5 |
533082 | 533082 | 2020-09-14 | Yates | New York | 36123 | 62 | 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);