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 2020-04-14 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
fips >30
county >30
- 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
- …
state 1
- New York · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
58029 | 58029 | 2020-04-14 | Albany | New York | 36001 | 535 | 21 |
58030 | 58030 | 2020-04-14 | Allegany | New York | 36003 | 28 | 0 |
58031 | 58031 | 2020-04-14 | Broome | New York | 36007 | 146 | 6 |
58032 | 58032 | 2020-04-14 | Cattaraugus | New York | 36009 | 32 | 0 |
58033 | 58033 | 2020-04-14 | Cayuga | New York | 36011 | 33 | 1 |
58034 | 58034 | 2020-04-14 | Chautauqua | New York | 36013 | 23 | 1 |
58035 | 58035 | 2020-04-14 | Chemung | New York | 36015 | 64 | 2 |
58036 | 58036 | 2020-04-14 | Chenango | New York | 36017 | 68 | 0 |
58037 | 58037 | 2020-04-14 | Clinton | New York | 36019 | 45 | 3 |
58038 | 58038 | 2020-04-14 | Columbia | New York | 36021 | 84 | 10 |
58039 | 58039 | 2020-04-14 | Cortland | New York | 36023 | 22 | 0 |
58040 | 58040 | 2020-04-14 | Delaware | New York | 36025 | 45 | 0 |
58041 | 58041 | 2020-04-14 | Dutchess | New York | 36027 | 1934 | 41 |
58042 | 58042 | 2020-04-14 | Erie | New York | 36029 | 1668 | 99 |
58043 | 58043 | 2020-04-14 | Essex | New York | 36031 | 12 | 0 |
58044 | 58044 | 2020-04-14 | Franklin | New York | 36033 | 13 | 0 |
58045 | 58045 | 2020-04-14 | Fulton | New York | 36035 | 22 | 0 |
58046 | 58046 | 2020-04-14 | Genesee | New York | 36037 | 76 | 0 |
58047 | 58047 | 2020-04-14 | Greene | New York | 36039 | 66 | 0 |
58048 | 58048 | 2020-04-14 | Hamilton | New York | 36041 | 3 | 0 |
58049 | 58049 | 2020-04-14 | Herkimer | New York | 36043 | 39 | 1 |
58050 | 58050 | 2020-04-14 | Jefferson | New York | 36045 | 47 | 0 |
58051 | 58051 | 2020-04-14 | Lewis | New York | 36049 | 7 | 0 |
58052 | 58052 | 2020-04-14 | Livingston | New York | 36051 | 31 | 1 |
58053 | 58053 | 2020-04-14 | Madison | New York | 36053 | 104 | 1 |
58054 | 58054 | 2020-04-14 | Monroe | New York | 36055 | 850 | 47 |
58055 | 58055 | 2020-04-14 | Montgomery | New York | 36057 | 32 | 1 |
58056 | 58056 | 2020-04-14 | Nassau | New York | 36059 | 25250 | 1217 |
58057 | 58057 | 2020-04-14 | New York City | New York | 113632 | 10857 | |
58058 | 58058 | 2020-04-14 | Niagara | New York | 36063 | 197 | 6 |
58059 | 58059 | 2020-04-14 | Oneida | New York | 36065 | 229 | 3 |
58060 | 58060 | 2020-04-14 | Onondaga | New York | 36067 | 431 | 15 |
58061 | 58061 | 2020-04-14 | Ontario | New York | 36069 | 61 | 2 |
58062 | 58062 | 2020-04-14 | Orange | New York | 36071 | 5578 | 129 |
58063 | 58063 | 2020-04-14 | Orleans | New York | 36073 | 31 | 0 |
58064 | 58064 | 2020-04-14 | Oswego | New York | 36075 | 41 | 0 |
58065 | 58065 | 2020-04-14 | Otsego | New York | 36077 | 44 | 3 |
58066 | 58066 | 2020-04-14 | Putnam | New York | 36079 | 558 | 27 |
58067 | 58067 | 2020-04-14 | Rensselaer | New York | 36083 | 120 | 7 |
58068 | 58068 | 2020-04-14 | Rockland | New York | 36087 | 8335 | 192 |
58069 | 58069 | 2020-04-14 | Saratoga | New York | 36091 | 224 | 1 |
58070 | 58070 | 2020-04-14 | Schenectady | New York | 36093 | 235 | 12 |
58071 | 58071 | 2020-04-14 | Schoharie | New York | 36095 | 20 | 0 |
58072 | 58072 | 2020-04-14 | Schuyler | New York | 36097 | 6 | 0 |
58073 | 58073 | 2020-04-14 | Seneca | New York | 36099 | 18 | 1 |
58074 | 58074 | 2020-04-14 | St. Lawrence | New York | 36089 | 92 | 1 |
58075 | 58075 | 2020-04-14 | Steuben | New York | 36101 | 147 | 5 |
58076 | 58076 | 2020-04-14 | Suffolk | New York | 36103 | 22462 | 617 |
58077 | 58077 | 2020-04-14 | Sullivan | New York | 36105 | 415 | 7 |
58078 | 58078 | 2020-04-14 | Tioga | New York | 36107 | 24 | 0 |
58079 | 58079 | 2020-04-14 | Tompkins | New York | 36109 | 112 | 2 |
58080 | 58080 | 2020-04-14 | Ulster | New York | 36111 | 690 | 2 |
58081 | 58081 | 2020-04-14 | Warren | New York | 36113 | 77 | 3 |
58082 | 58082 | 2020-04-14 | Washington | New York | 36115 | 40 | 0 |
58083 | 58083 | 2020-04-14 | Wayne | New York | 36117 | 48 | 0 |
58084 | 58084 | 2020-04-14 | Westchester | New York | 36119 | 20191 | 654 |
58085 | 58085 | 2020-04-14 | Wyoming | New York | 36121 | 32 | 3 |
58086 | 58086 | 2020-04-14 | Yates | New York | 36123 | 6 | 0 |
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);