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 2020-04-11 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 |
---|---|---|---|---|---|---|---|
49973 | 49973 | 2020-04-11 | Albany | New York | 36001 | 446 | 16 |
49974 | 49974 | 2020-04-11 | Allegany | New York | 36003 | 26 | 0 |
49975 | 49975 | 2020-04-11 | Broome | New York | 36007 | 117 | 6 |
49976 | 49976 | 2020-04-11 | Cattaraugus | New York | 36009 | 19 | 0 |
49977 | 49977 | 2020-04-11 | Cayuga | New York | 36011 | 28 | 1 |
49978 | 49978 | 2020-04-11 | Chautauqua | New York | 36013 | 21 | 1 |
49979 | 49979 | 2020-04-11 | Chemung | New York | 36015 | 60 | 2 |
49980 | 49980 | 2020-04-11 | Chenango | New York | 36017 | 61 | 0 |
49981 | 49981 | 2020-04-11 | Clinton | New York | 36019 | 43 | 0 |
49982 | 49982 | 2020-04-11 | Columbia | New York | 36021 | 77 | 6 |
49983 | 49983 | 2020-04-11 | Cortland | New York | 36023 | 17 | 0 |
49984 | 49984 | 2020-04-11 | Delaware | New York | 36025 | 39 | 0 |
49985 | 49985 | 2020-04-11 | Dutchess | New York | 36027 | 1744 | 27 |
49986 | 49986 | 2020-04-11 | Erie | New York | 36029 | 1472 | 62 |
49987 | 49987 | 2020-04-11 | Essex | New York | 36031 | 12 | 0 |
49988 | 49988 | 2020-04-11 | Franklin | New York | 36033 | 11 | 0 |
49989 | 49989 | 2020-04-11 | Fulton | New York | 36035 | 21 | 0 |
49990 | 49990 | 2020-04-11 | Genesee | New York | 36037 | 67 | 0 |
49991 | 49991 | 2020-04-11 | Greene | New York | 36039 | 37 | 0 |
49992 | 49992 | 2020-04-11 | Hamilton | New York | 36041 | 3 | 0 |
49993 | 49993 | 2020-04-11 | Herkimer | New York | 36043 | 37 | 1 |
49994 | 49994 | 2020-04-11 | Jefferson | New York | 36045 | 44 | 0 |
49995 | 49995 | 2020-04-11 | Lewis | New York | 36049 | 6 | 0 |
49996 | 49996 | 2020-04-11 | Livingston | New York | 36051 | 30 | 1 |
49997 | 49997 | 2020-04-11 | Madison | New York | 36053 | 99 | 1 |
49998 | 49998 | 2020-04-11 | Monroe | New York | 36055 | 767 | 42 |
49999 | 49999 | 2020-04-11 | Montgomery | New York | 36057 | 29 | 1 |
50000 | 50000 | 2020-04-11 | Nassau | New York | 36059 | 22584 | 965 |
50001 | 50001 | 2020-04-11 | New York City | New York | 100840 | 8734 | |
50002 | 50002 | 2020-04-11 | Niagara | New York | 36063 | 167 | 2 |
50003 | 50003 | 2020-04-11 | Oneida | New York | 36065 | 181 | 2 |
50004 | 50004 | 2020-04-11 | Onondaga | New York | 36067 | 380 | 12 |
50005 | 50005 | 2020-04-11 | Ontario | New York | 36069 | 56 | 0 |
50006 | 50006 | 2020-04-11 | Orange | New York | 36071 | 4847 | 99 |
50007 | 50007 | 2020-04-11 | Orleans | New York | 36073 | 24 | 0 |
50008 | 50008 | 2020-04-11 | Oswego | New York | 36075 | 37 | 0 |
50009 | 50009 | 2020-04-11 | Otsego | New York | 36077 | 43 | 2 |
50010 | 50010 | 2020-04-11 | Putnam | New York | 36079 | 494 | 20 |
50011 | 50011 | 2020-04-11 | Rensselaer | New York | 36083 | 96 | 4 |
50012 | 50012 | 2020-04-11 | Rockland | New York | 36087 | 7477 | 153 |
50013 | 50013 | 2020-04-11 | Saratoga | New York | 36091 | 187 | 1 |
50014 | 50014 | 2020-04-11 | Schenectady | New York | 36093 | 194 | 10 |
50015 | 50015 | 2020-04-11 | Schoharie | New York | 36095 | 12 | 0 |
50016 | 50016 | 2020-04-11 | Schuyler | New York | 36097 | 5 | 0 |
50017 | 50017 | 2020-04-11 | Seneca | New York | 36099 | 16 | 0 |
50018 | 50018 | 2020-04-11 | St. Lawrence | New York | 36089 | 80 | 1 |
50019 | 50019 | 2020-04-11 | Steuben | New York | 36101 | 119 | 3 |
50020 | 50020 | 2020-04-11 | Suffolk | New York | 36103 | 19883 | 469 |
50021 | 50021 | 2020-04-11 | Sullivan | New York | 36105 | 340 | 7 |
50022 | 50022 | 2020-04-11 | Tioga | New York | 36107 | 19 | 0 |
50023 | 50023 | 2020-04-11 | Tompkins | New York | 36109 | 108 | 0 |
50024 | 50024 | 2020-04-11 | Ulster | New York | 36111 | 589 | 2 |
50025 | 50025 | 2020-04-11 | Warren | New York | 36113 | 44 | 1 |
50026 | 50026 | 2020-04-11 | Washington | New York | 36115 | 31 | 0 |
50027 | 50027 | 2020-04-11 | Wayne | New York | 36117 | 42 | 0 |
50028 | 50028 | 2020-04-11 | Westchester | New York | 36119 | 18729 | 505 |
50029 | 50029 | 2020-04-11 | Wyoming | New York | 36121 | 31 | 0 |
50030 | 50030 | 2020-04-11 | 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);