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 2020-04-22 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 |
---|---|---|---|---|---|---|---|
80080 | 80080 | 2020-04-22 | Albany | New York | 36001 | 737 | 36 |
80081 | 80081 | 2020-04-22 | Allegany | New York | 36003 | 30 | 0 |
80082 | 80082 | 2020-04-22 | Broome | New York | 36007 | 219 | 8 |
80083 | 80083 | 2020-04-22 | Cattaraugus | New York | 36009 | 37 | 0 |
80084 | 80084 | 2020-04-22 | Cayuga | New York | 36011 | 36 | 1 |
80085 | 80085 | 2020-04-22 | Chautauqua | New York | 36013 | 26 | 1 |
80086 | 80086 | 2020-04-22 | Chemung | New York | 36015 | 75 | 2 |
80087 | 80087 | 2020-04-22 | Chenango | New York | 36017 | 79 | 0 |
80088 | 80088 | 2020-04-22 | Clinton | New York | 36019 | 51 | 3 |
80089 | 80089 | 2020-04-22 | Columbia | New York | 36021 | 117 | 16 |
80090 | 80090 | 2020-04-22 | Cortland | New York | 36023 | 25 | 0 |
80091 | 80091 | 2020-04-22 | Delaware | New York | 36025 | 50 | 0 |
80092 | 80092 | 2020-04-22 | Dutchess | New York | 36027 | 2391 | 57 |
80093 | 80093 | 2020-04-22 | Erie | New York | 36029 | 2233 | 174 |
80094 | 80094 | 2020-04-22 | Essex | New York | 36031 | 28 | 0 |
80095 | 80095 | 2020-04-22 | Franklin | New York | 36033 | 13 | 0 |
80096 | 80096 | 2020-04-22 | Fulton | New York | 36035 | 28 | 0 |
80097 | 80097 | 2020-04-22 | Genesee | New York | 36037 | 122 | 2 |
80098 | 80098 | 2020-04-22 | Greene | New York | 36039 | 87 | 0 |
80099 | 80099 | 2020-04-22 | Hamilton | New York | 36041 | 3 | 0 |
80100 | 80100 | 2020-04-22 | Herkimer | New York | 36043 | 53 | 1 |
80101 | 80101 | 2020-04-22 | Jefferson | New York | 36045 | 54 | 0 |
80102 | 80102 | 2020-04-22 | Lewis | New York | 36049 | 9 | 0 |
80103 | 80103 | 2020-04-22 | Livingston | New York | 36051 | 39 | 2 |
80104 | 80104 | 2020-04-22 | Madison | New York | 36053 | 106 | 3 |
80105 | 80105 | 2020-04-22 | Monroe | New York | 36055 | 1112 | 72 |
80106 | 80106 | 2020-04-22 | Montgomery | New York | 36057 | 38 | 1 |
80107 | 80107 | 2020-04-22 | Nassau | New York | 36059 | 31555 | 1764 |
80108 | 80108 | 2020-04-22 | New York City | New York | 146787 | 14959 | |
80109 | 80109 | 2020-04-22 | Niagara | New York | 36063 | 268 | 10 |
80110 | 80110 | 2020-04-22 | Oneida | New York | 36065 | 301 | 8 |
80111 | 80111 | 2020-04-22 | Onondaga | New York | 36067 | 526 | 28 |
80112 | 80112 | 2020-04-22 | Ontario | New York | 36069 | 73 | 3 |
80113 | 80113 | 2020-04-22 | Orange | New York | 36071 | 6705 | 183 |
80114 | 80114 | 2020-04-22 | Orleans | New York | 36073 | 56 | 1 |
80115 | 80115 | 2020-04-22 | Oswego | New York | 36075 | 49 | 0 |
80116 | 80116 | 2020-04-22 | Otsego | New York | 36077 | 49 | 5 |
80117 | 80117 | 2020-04-22 | Putnam | New York | 36079 | 611 | 39 |
80118 | 80118 | 2020-04-22 | Rensselaer | New York | 36083 | 186 | 11 |
80119 | 80119 | 2020-04-22 | Rockland | New York | 36087 | 9699 | 309 |
80120 | 80120 | 2020-04-22 | Saratoga | New York | 36091 | 264 | 2 |
80121 | 80121 | 2020-04-22 | Schenectady | New York | 36093 | 280 | 19 |
80122 | 80122 | 2020-04-22 | Schoharie | New York | 36095 | 20 | 0 |
80123 | 80123 | 2020-04-22 | Schuyler | New York | 36097 | 7 | 0 |
80124 | 80124 | 2020-04-22 | Seneca | New York | 36099 | 18 | 1 |
80125 | 80125 | 2020-04-22 | St. Lawrence | New York | 36089 | 123 | 1 |
80126 | 80126 | 2020-04-22 | Steuben | New York | 36101 | 171 | 9 |
80127 | 80127 | 2020-04-22 | Suffolk | New York | 36103 | 28854 | 959 |
80128 | 80128 | 2020-04-22 | Sullivan | New York | 36105 | 561 | 8 |
80129 | 80129 | 2020-04-22 | Tioga | New York | 36107 | 39 | 2 |
80130 | 80130 | 2020-04-22 | Tompkins | New York | 36109 | 119 | 2 |
80131 | 80131 | 2020-04-22 | Ulster | New York | 36111 | 913 | 3 |
80132 | 80132 | 2020-04-22 | Warren | New York | 36113 | 108 | 6 |
80133 | 80133 | 2020-04-22 | Washington | New York | 36115 | 73 | 0 |
80134 | 80134 | 2020-04-22 | Wayne | New York | 36117 | 52 | 0 |
80135 | 80135 | 2020-04-22 | Westchester | New York | 36119 | 25275 | 932 |
80136 | 80136 | 2020-04-22 | Wyoming | New York | 36121 | 40 | 3 |
80137 | 80137 | 2020-04-22 | Yates | New York | 36123 | 11 | 1 |
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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);