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 2020-04-24 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 |
---|---|---|---|---|---|---|---|
85683 | 85683 | 2020-04-24 | Albany | New York | 36001 | 805 | 42 |
85684 | 85684 | 2020-04-24 | Allegany | New York | 36003 | 31 | 0 |
85685 | 85685 | 2020-04-24 | Broome | New York | 36007 | 232 | 11 |
85686 | 85686 | 2020-04-24 | Cattaraugus | New York | 36009 | 39 | 0 |
85687 | 85687 | 2020-04-24 | Cayuga | New York | 36011 | 39 | 1 |
85688 | 85688 | 2020-04-24 | Chautauqua | New York | 36013 | 27 | 1 |
85689 | 85689 | 2020-04-24 | Chemung | New York | 36015 | 79 | 3 |
85690 | 85690 | 2020-04-24 | Chenango | New York | 36017 | 84 | 0 |
85691 | 85691 | 2020-04-24 | Clinton | New York | 36019 | 53 | 4 |
85692 | 85692 | 2020-04-24 | Columbia | New York | 36021 | 129 | 16 |
85693 | 85693 | 2020-04-24 | Cortland | New York | 36023 | 25 | 0 |
85694 | 85694 | 2020-04-24 | Delaware | New York | 36025 | 51 | 0 |
85695 | 85695 | 2020-04-24 | Dutchess | New York | 36027 | 2517 | 63 |
85696 | 85696 | 2020-04-24 | Erie | New York | 36029 | 2603 | 184 |
85697 | 85697 | 2020-04-24 | Essex | New York | 36031 | 28 | 0 |
85698 | 85698 | 2020-04-24 | Franklin | New York | 36033 | 13 | 0 |
85699 | 85699 | 2020-04-24 | Fulton | New York | 36035 | 29 | 1 |
85700 | 85700 | 2020-04-24 | Genesee | New York | 36037 | 127 | 2 |
85701 | 85701 | 2020-04-24 | Greene | New York | 36039 | 90 | 0 |
85702 | 85702 | 2020-04-24 | Hamilton | New York | 36041 | 3 | 0 |
85703 | 85703 | 2020-04-24 | Herkimer | New York | 36043 | 56 | 1 |
85704 | 85704 | 2020-04-24 | Jefferson | New York | 36045 | 58 | 0 |
85705 | 85705 | 2020-04-24 | Lewis | New York | 36049 | 9 | 0 |
85706 | 85706 | 2020-04-24 | Livingston | New York | 36051 | 44 | 2 |
85707 | 85707 | 2020-04-24 | Madison | New York | 36053 | 106 | 3 |
85708 | 85708 | 2020-04-24 | Monroe | New York | 36055 | 1199 | 78 |
85709 | 85709 | 2020-04-24 | Montgomery | New York | 36057 | 39 | 1 |
85710 | 85710 | 2020-04-24 | Nassau | New York | 36059 | 32765 | 1867 |
85711 | 85711 | 2020-04-24 | New York City | New York | 155081 | 15754 | |
85712 | 85712 | 2020-04-24 | Niagara | New York | 36063 | 332 | 11 |
85713 | 85713 | 2020-04-24 | Oneida | New York | 36065 | 323 | 8 |
85714 | 85714 | 2020-04-24 | Onondaga | New York | 36067 | 639 | 29 |
85715 | 85715 | 2020-04-24 | Ontario | New York | 36069 | 73 | 3 |
85716 | 85716 | 2020-04-24 | Orange | New York | 36071 | 7170 | 194 |
85717 | 85717 | 2020-04-24 | Orleans | New York | 36073 | 60 | 2 |
85718 | 85718 | 2020-04-24 | Oswego | New York | 36075 | 51 | 0 |
85719 | 85719 | 2020-04-24 | Otsego | New York | 36077 | 50 | 5 |
85720 | 85720 | 2020-04-24 | Putnam | New York | 36079 | 619 | 42 |
85721 | 85721 | 2020-04-24 | Rensselaer | New York | 36083 | 198 | 12 |
85722 | 85722 | 2020-04-24 | Rockland | New York | 36087 | 10091 | 334 |
85723 | 85723 | 2020-04-24 | Saratoga | New York | 36091 | 278 | 2 |
85724 | 85724 | 2020-04-24 | Schenectady | New York | 36093 | 297 | 20 |
85725 | 85725 | 2020-04-24 | Schoharie | New York | 36095 | 21 | 0 |
85726 | 85726 | 2020-04-24 | Schuyler | New York | 36097 | 7 | 0 |
85727 | 85727 | 2020-04-24 | Seneca | New York | 36099 | 18 | 1 |
85728 | 85728 | 2020-04-24 | St. Lawrence | New York | 36089 | 144 | 1 |
85729 | 85729 | 2020-04-24 | Steuben | New York | 36101 | 171 | 10 |
85730 | 85730 | 2020-04-24 | Suffolk | New York | 36103 | 30606 | 1035 |
85731 | 85731 | 2020-04-24 | Sullivan | New York | 36105 | 628 | 9 |
85732 | 85732 | 2020-04-24 | Tioga | New York | 36107 | 40 | 2 |
85733 | 85733 | 2020-04-24 | Tompkins | New York | 36109 | 121 | 2 |
85734 | 85734 | 2020-04-24 | Ulster | New York | 36111 | 976 | 3 |
85735 | 85735 | 2020-04-24 | Warren | New York | 36113 | 122 | 7 |
85736 | 85736 | 2020-04-24 | Washington | New York | 36115 | 83 | 0 |
85737 | 85737 | 2020-04-24 | Wayne | New York | 36117 | 53 | 0 |
85738 | 85738 | 2020-04-24 | Westchester | New York | 36119 | 26632 | 989 |
85739 | 85739 | 2020-04-24 | Wyoming | New York | 36121 | 43 | 3 |
85740 | 85740 | 2020-04-24 | 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);