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 2020-04-06 and state = "New York" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
37050 | 37050 | 2020-04-06 | Albany | New York | 36001 | 319 | 9 |
37051 | 37051 | 2020-04-06 | Allegany | New York | 36003 | 17 | 1 |
37052 | 37052 | 2020-04-06 | Broome | New York | 36007 | 76 | 5 |
37053 | 37053 | 2020-04-06 | Cattaraugus | New York | 36009 | 15 | 0 |
37054 | 37054 | 2020-04-06 | Cayuga | New York | 36011 | 11 | 1 |
37055 | 37055 | 2020-04-06 | Chautauqua | New York | 36013 | 15 | 0 |
37056 | 37056 | 2020-04-06 | Chemung | New York | 36015 | 47 | 0 |
37057 | 37057 | 2020-04-06 | Chenango | New York | 36017 | 46 | 0 |
37058 | 37058 | 2020-04-06 | Clinton | New York | 36019 | 36 | 0 |
37059 | 37059 | 2020-04-06 | Columbia | New York | 36021 | 70 | 3 |
37060 | 37060 | 2020-04-06 | Cortland | New York | 36023 | 15 | 0 |
37061 | 37061 | 2020-04-06 | Delaware | New York | 36025 | 32 | 1 |
37062 | 37062 | 2020-04-06 | Dutchess | New York | 36027 | 1189 | 12 |
37063 | 37063 | 2020-04-06 | Erie | New York | 36029 | 1163 | 30 |
37064 | 37064 | 2020-04-06 | Essex | New York | 36031 | 7 | 0 |
37065 | 37065 | 2020-04-06 | Franklin | New York | 36033 | 10 | 0 |
37066 | 37066 | 2020-04-06 | Fulton | New York | 36035 | 9 | 0 |
37067 | 37067 | 2020-04-06 | Genesee | New York | 36037 | 23 | 1 |
37068 | 37068 | 2020-04-06 | Greene | New York | 36039 | 27 | 0 |
37069 | 37069 | 2020-04-06 | Hamilton | New York | 36041 | 2 | 0 |
37070 | 37070 | 2020-04-06 | Herkimer | New York | 36043 | 25 | 3 |
37071 | 37071 | 2020-04-06 | Jefferson | New York | 36045 | 33 | 0 |
37072 | 37072 | 2020-04-06 | Lewis | New York | 36049 | 8 | 0 |
37073 | 37073 | 2020-04-06 | Livingston | New York | 36051 | 26 | 1 |
37074 | 37074 | 2020-04-06 | Madison | New York | 36053 | 92 | 2 |
37075 | 37075 | 2020-04-06 | Monroe | New York | 36055 | 574 | 23 |
37076 | 37076 | 2020-04-06 | Montgomery | New York | 36057 | 15 | 1 |
37077 | 37077 | 2020-04-06 | Nassau | New York | 36059 | 15616 | 535 |
37078 | 37078 | 2020-04-06 | New York City | New York | 73553 | 4857 | |
37079 | 37079 | 2020-04-06 | Niagara | New York | 36063 | 130 | 0 |
37080 | 37080 | 2020-04-06 | Oneida | New York | 36065 | 100 | 2 |
37081 | 37081 | 2020-04-06 | Onondaga | New York | 36067 | 377 | 6 |
37082 | 37082 | 2020-04-06 | Ontario | New York | 36069 | 39 | 0 |
37083 | 37083 | 2020-04-06 | Orange | New York | 36071 | 3397 | 47 |
37084 | 37084 | 2020-04-06 | Orleans | New York | 36073 | 13 | 0 |
37085 | 37085 | 2020-04-06 | Oswego | New York | 36075 | 33 | 2 |
37086 | 37086 | 2020-04-06 | Otsego | New York | 36077 | 34 | 2 |
37087 | 37087 | 2020-04-06 | Putnam | New York | 36079 | 345 | 12 |
37088 | 37088 | 2020-04-06 | Rensselaer | New York | 36083 | 78 | 1 |
37089 | 37089 | 2020-04-06 | Rockland | New York | 36087 | 5703 | 76 |
37090 | 37090 | 2020-04-06 | Saratoga | New York | 36091 | 153 | 1 |
37091 | 37091 | 2020-04-06 | Schenectady | New York | 36093 | 138 | 7 |
37092 | 37092 | 2020-04-06 | Schoharie | New York | 36095 | 11 | 0 |
37093 | 37093 | 2020-04-06 | Schuyler | New York | 36097 | 4 | 0 |
37094 | 37094 | 2020-04-06 | Seneca | New York | 36099 | 9 | 0 |
37095 | 37095 | 2020-04-06 | St. Lawrence | New York | 36089 | 63 | 0 |
37096 | 37096 | 2020-04-06 | Steuben | New York | 36101 | 73 | 4 |
37097 | 37097 | 2020-04-06 | Suffolk | New York | 36103 | 14473 | 237 |
37098 | 37098 | 2020-04-06 | Sullivan | New York | 36105 | 259 | 7 |
37099 | 37099 | 2020-04-06 | Tioga | New York | 36107 | 9 | 0 |
37100 | 37100 | 2020-04-06 | Tompkins | New York | 36109 | 98 | 0 |
37101 | 37101 | 2020-04-06 | Ulster | New York | 36111 | 382 | 4 |
37102 | 37102 | 2020-04-06 | Warren | New York | 36113 | 26 | 1 |
37103 | 37103 | 2020-04-06 | Washington | New York | 36115 | 19 | 1 |
37104 | 37104 | 2020-04-06 | Wayne | New York | 36117 | 34 | 0 |
37105 | 37105 | 2020-04-06 | Westchester | New York | 36119 | 14293 | 253 |
37106 | 37106 | 2020-04-06 | Wyoming | New York | 36121 | 23 | 1 |
37107 | 37107 | 2020-04-06 | Yates | New York | 36123 | 2 | 0 |
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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);