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 2020-05-06 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 |
---|---|---|---|---|---|---|---|
119995 | 119995 | 2020-05-06 | Albany | New York | 36001 | 1321 | 93 |
119996 | 119996 | 2020-05-06 | Allegany | New York | 36003 | 35 | 0 |
119997 | 119997 | 2020-05-06 | Broome | New York | 36007 | 345 | 25 |
119998 | 119998 | 2020-05-06 | Cattaraugus | New York | 36009 | 54 | 1 |
119999 | 119999 | 2020-05-06 | Cayuga | New York | 36011 | 51 | 1 |
120000 | 120000 | 2020-05-06 | Chautauqua | New York | 36013 | 38 | 2 |
120001 | 120001 | 2020-05-06 | Chemung | New York | 36015 | 128 | 4 |
120002 | 120002 | 2020-05-06 | Chenango | New York | 36017 | 102 | 2 |
120003 | 120003 | 2020-05-06 | Clinton | New York | 36019 | 69 | 4 |
120004 | 120004 | 2020-05-06 | Columbia | New York | 36021 | 291 | 21 |
120005 | 120005 | 2020-05-06 | Cortland | New York | 36023 | 28 | 0 |
120006 | 120006 | 2020-05-06 | Delaware | New York | 36025 | 62 | 0 |
120007 | 120007 | 2020-05-06 | Dutchess | New York | 36027 | 3192 | 96 |
120008 | 120008 | 2020-05-06 | Erie | New York | 36029 | 4008 | 338 |
120009 | 120009 | 2020-05-06 | Essex | New York | 36031 | 38 | 0 |
120010 | 120010 | 2020-05-06 | Franklin | New York | 36033 | 16 | 0 |
120011 | 120011 | 2020-05-06 | Fulton | New York | 36035 | 100 | 4 |
120012 | 120012 | 2020-05-06 | Genesee | New York | 36037 | 162 | 2 |
120013 | 120013 | 2020-05-06 | Greene | New York | 36039 | 188 | 2 |
120014 | 120014 | 2020-05-06 | Hamilton | New York | 36041 | 5 | 0 |
120015 | 120015 | 2020-05-06 | Herkimer | New York | 36043 | 68 | 1 |
120016 | 120016 | 2020-05-06 | Jefferson | New York | 36045 | 63 | 0 |
120017 | 120017 | 2020-05-06 | Lewis | New York | 36049 | 9 | 0 |
120018 | 120018 | 2020-05-06 | Livingston | New York | 36051 | 89 | 2 |
120019 | 120019 | 2020-05-06 | Madison | New York | 36053 | 231 | 3 |
120020 | 120020 | 2020-05-06 | Monroe | New York | 36055 | 1655 | 130 |
120021 | 120021 | 2020-05-06 | Montgomery | New York | 36057 | 63 | 1 |
120022 | 120022 | 2020-05-06 | Nassau | New York | 36059 | 37350 | 2325 |
120023 | 120023 | 2020-05-06 | New York City | New York | 183770 | 18993 | |
120024 | 120024 | 2020-05-06 | Niagara | New York | 36063 | 549 | 24 |
120025 | 120025 | 2020-05-06 | Oneida | New York | 36065 | 579 | 22 |
120026 | 120026 | 2020-05-06 | Onondaga | New York | 36067 | 1056 | 53 |
120027 | 120027 | 2020-05-06 | Ontario | New York | 36069 | 99 | 7 |
120028 | 120028 | 2020-05-06 | Orange | New York | 36071 | 9215 | 298 |
120029 | 120029 | 2020-05-06 | Orleans | New York | 36073 | 103 | 12 |
120030 | 120030 | 2020-05-06 | Oswego | New York | 36075 | 70 | 0 |
120031 | 120031 | 2020-05-06 | Otsego | New York | 36077 | 67 | 5 |
120032 | 120032 | 2020-05-06 | Putnam | New York | 36079 | 1040 | 56 |
120033 | 120033 | 2020-05-06 | Rensselaer | New York | 36083 | 347 | 28 |
120034 | 120034 | 2020-05-06 | Rockland | New York | 36087 | 12204 | 400 |
120035 | 120035 | 2020-05-06 | Saratoga | New York | 36091 | 371 | 3 |
120036 | 120036 | 2020-05-06 | Schenectady | New York | 36093 | 551 | 26 |
120037 | 120037 | 2020-05-06 | Schoharie | New York | 36095 | 45 | 0 |
120038 | 120038 | 2020-05-06 | Schuyler | New York | 36097 | 7 | 0 |
120039 | 120039 | 2020-05-06 | Seneca | New York | 36099 | 46 | 0 |
120040 | 120040 | 2020-05-06 | St. Lawrence | New York | 36089 | 180 | 2 |
120041 | 120041 | 2020-05-06 | Steuben | New York | 36101 | 223 | 16 |
120042 | 120042 | 2020-05-06 | Suffolk | New York | 36103 | 35543 | 1574 |
120043 | 120043 | 2020-05-06 | Sullivan | New York | 36105 | 996 | 20 |
120044 | 120044 | 2020-05-06 | Tioga | New York | 36107 | 96 | 12 |
120045 | 120045 | 2020-05-06 | Tompkins | New York | 36109 | 129 | 2 |
120046 | 120046 | 2020-05-06 | Ulster | New York | 36111 | 1383 | 26 |
120047 | 120047 | 2020-05-06 | Warren | New York | 36113 | 193 | 20 |
120048 | 120048 | 2020-05-06 | Washington | New York | 36115 | 189 | 8 |
120049 | 120049 | 2020-05-06 | Wayne | New York | 36117 | 78 | 1 |
120050 | 120050 | 2020-05-06 | Westchester | New York | 36119 | 30426 | 1285 |
120051 | 120051 | 2020-05-06 | Wyoming | New York | 36121 | 70 | 3 |
120052 | 120052 | 2020-05-06 | Yates | New York | 36123 | 19 | 3 |
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);