ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
58 rows where date = "2020-05-22" and state = "New York" sorted by date descending
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Suggested facets: date (date)
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 |
---|---|---|---|---|---|---|---|
168047 | 168047 | 2020-05-22 | Albany | New York | 36001 | 1756 | 136 |
168048 | 168048 | 2020-05-22 | Allegany | New York | 36003 | 44 | 0 |
168049 | 168049 | 2020-05-22 | Broome | New York | 36007 | 468 | 39 |
168050 | 168050 | 2020-05-22 | Cattaraugus | New York | 36009 | 74 | 1 |
168051 | 168051 | 2020-05-22 | Cayuga | New York | 36011 | 73 | 1 |
168052 | 168052 | 2020-05-22 | Chautauqua | New York | 36013 | 63 | 3 |
168053 | 168053 | 2020-05-22 | Chemung | New York | 36015 | 135 | 5 |
168054 | 168054 | 2020-05-22 | Chenango | New York | 36017 | 118 | 2 |
168055 | 168055 | 2020-05-22 | Clinton | New York | 36019 | 94 | 4 |
168056 | 168056 | 2020-05-22 | Columbia | New York | 36021 | 356 | 34 |
168057 | 168057 | 2020-05-22 | Cortland | New York | 36023 | 37 | 0 |
168058 | 168058 | 2020-05-22 | Delaware | New York | 36025 | 72 | 0 |
168059 | 168059 | 2020-05-22 | Dutchess | New York | 36027 | 3767 | 136 |
168060 | 168060 | 2020-05-22 | Erie | New York | 36029 | 5397 | 473 |
168061 | 168061 | 2020-05-22 | Essex | New York | 36031 | 44 | 0 |
168062 | 168062 | 2020-05-22 | Franklin | New York | 36033 | 19 | 0 |
168063 | 168063 | 2020-05-22 | Fulton | New York | 36035 | 189 | 11 |
168064 | 168064 | 2020-05-22 | Genesee | New York | 36037 | 189 | 4 |
168065 | 168065 | 2020-05-22 | Greene | New York | 36039 | 215 | 4 |
168066 | 168066 | 2020-05-22 | Hamilton | New York | 36041 | 5 | 0 |
168067 | 168067 | 2020-05-22 | Herkimer | New York | 36043 | 95 | 1 |
168068 | 168068 | 2020-05-22 | Jefferson | New York | 36045 | 72 | 0 |
168069 | 168069 | 2020-05-22 | Lewis | New York | 36049 | 19 | 0 |
168070 | 168070 | 2020-05-22 | Livingston | New York | 36051 | 114 | 4 |
168071 | 168071 | 2020-05-22 | Madison | New York | 36053 | 297 | 4 |
168072 | 168072 | 2020-05-22 | Monroe | New York | 36055 | 2602 | 181 |
168073 | 168073 | 2020-05-22 | Montgomery | New York | 36057 | 77 | 4 |
168074 | 168074 | 2020-05-22 | Nassau | New York | 36059 | 39608 | 2572 |
168075 | 168075 | 2020-05-22 | New York City | New York | 201298 | 20569 | |
168076 | 168076 | 2020-05-22 | Niagara | New York | 36063 | 897 | 40 |
168077 | 168077 | 2020-05-22 | Oneida | New York | 36065 | 828 | 41 |
168078 | 168078 | 2020-05-22 | Onondaga | New York | 36067 | 1828 | 105 |
168079 | 168079 | 2020-05-22 | Ontario | New York | 36069 | 180 | 8 |
168080 | 168080 | 2020-05-22 | Orange | New York | 36071 | 10157 | 359 |
168081 | 168081 | 2020-05-22 | Orleans | New York | 36073 | 175 | 19 |
168082 | 168082 | 2020-05-22 | Oswego | New York | 36075 | 96 | 0 |
168083 | 168083 | 2020-05-22 | Otsego | New York | 36077 | 67 | 6 |
168084 | 168084 | 2020-05-22 | Putnam | New York | 36079 | 1187 | 59 |
168085 | 168085 | 2020-05-22 | Rensselaer | New York | 36083 | 460 | 32 |
168086 | 168086 | 2020-05-22 | Rockland | New York | 36087 | 12905 | 450 |
168087 | 168087 | 2020-05-22 | Saratoga | New York | 36091 | 448 | 4 |
168088 | 168088 | 2020-05-22 | Schenectady | New York | 36093 | 645 | 28 |
168089 | 168089 | 2020-05-22 | Schoharie | New York | 36095 | 49 | 0 |
168090 | 168090 | 2020-05-22 | Schuyler | New York | 36097 | 11 | 0 |
168091 | 168091 | 2020-05-22 | Seneca | New York | 36099 | 54 | 0 |
168092 | 168092 | 2020-05-22 | St. Lawrence | New York | 36089 | 195 | 2 |
168093 | 168093 | 2020-05-22 | Steuben | New York | 36101 | 240 | 18 |
168094 | 168094 | 2020-05-22 | Suffolk | New York | 36103 | 38672 | 1863 |
168095 | 168095 | 2020-05-22 | Sullivan | New York | 36105 | 1287 | 24 |
168096 | 168096 | 2020-05-22 | Tioga | New York | 36107 | 118 | 17 |
168097 | 168097 | 2020-05-22 | Tompkins | New York | 36109 | 147 | 2 |
168098 | 168098 | 2020-05-22 | Ulster | New York | 36111 | 1595 | 44 |
168099 | 168099 | 2020-05-22 | Warren | New York | 36113 | 246 | 28 |
168100 | 168100 | 2020-05-22 | Washington | New York | 36115 | 224 | 11 |
168101 | 168101 | 2020-05-22 | Wayne | New York | 36117 | 104 | 1 |
168102 | 168102 | 2020-05-22 | Westchester | New York | 36119 | 32766 | 1444 |
168103 | 168103 | 2020-05-22 | Wyoming | New York | 36121 | 79 | 3 |
168104 | 168104 | 2020-05-22 | Yates | New York | 36123 | 34 | 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);