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 2022-03-20 and state = "New York" sorted by date descending
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fips 58
- 36001 1
- 36003 1
- 36007 1
- 36009 1
- 36011 1
- 36013 1
- 36015 1
- 36017 1
- 36019 1
- 36021 1
- 36023 1
- 36025 1
- 36027 1
- 36029 1
- 36031 1
- 36033 1
- 36035 1
- 36037 1
- 36039 1
- 36041 1
- 36043 1
- 36045 1
- 36049 1
- 36051 1
- 36053 1
- 36055 1
- 36057 1
- 36059 1
- 36063 1
- 36065 1
- 36067 1
- 36069 1
- 36071 1
- 36073 1
- 36075 1
- 36077 1
- 36079 1
- 36083 1
- 36087 1
- 36089 1
- 36091 1
- 36093 1
- 36095 1
- 36097 1
- 36099 1
- 36101 1
- 36103 1
- 36105 1
- 36107 1
- 36109 1
- 36111 1
- 36113 1
- 36115 1
- 36117 1
- 36119 1
- 36121 1
- 36123 1
- - 1
county 58
- 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
- Oneida 1
- Onondaga 1
- Ontario 1
- Orange 1
- Orleans 1
- Oswego 1
- Otsego 1
- Putnam 1
- Rensselaer 1
- Rockland 1
- Saratoga 1
- Schenectady 1
- Schoharie 1
- Schuyler 1
- Seneca 1
- St. Lawrence 1
- Steuben 1
- Suffolk 1
- Sullivan 1
- Tioga 1
- Tompkins 1
- Ulster 1
- Warren 1
- Washington 1
- Wayne 1
- Westchester 1
- Wyoming 1
- Yates 1
state 1
- New York · 58 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2325641 | 2325641 | 2022-03-20 | Albany | New York | 36001 | 58466 | 507 |
2325642 | 2325642 | 2022-03-20 | Allegany | New York | 36003 | 8877 | 153 |
2325643 | 2325643 | 2022-03-20 | Broome | New York | 36007 | 44771 | 510 |
2325644 | 2325644 | 2022-03-20 | Cattaraugus | New York | 36009 | 15339 | 219 |
2325645 | 2325645 | 2022-03-20 | Cayuga | New York | 36011 | 15876 | 144 |
2325646 | 2325646 | 2022-03-20 | Chautauqua | New York | 36013 | 23454 | 296 |
2325647 | 2325647 | 2022-03-20 | Chemung | New York | 36015 | 21153 | 229 |
2325648 | 2325648 | 2022-03-20 | Chenango | New York | 36017 | 9222 | 118 |
2325649 | 2325649 | 2022-03-20 | Clinton | New York | 36019 | 16552 | 85 |
2325650 | 2325650 | 2022-03-20 | Columbia | New York | 36021 | 9972 | 140 |
2325651 | 2325651 | 2022-03-20 | Cortland | New York | 36023 | 10418 | 116 |
2325652 | 2325652 | 2022-03-20 | Delaware | New York | 36025 | 7622 | 68 |
2325653 | 2325653 | 2022-03-20 | Dutchess | New York | 36027 | 63577 | 655 |
2325654 | 2325654 | 2022-03-20 | Erie | New York | 36029 | 207109 | 2603 |
2325655 | 2325655 | 2022-03-20 | Essex | New York | 36031 | 5571 | 57 |
2325656 | 2325656 | 2022-03-20 | Franklin | New York | 36033 | 9343 | 44 |
2325657 | 2325657 | 2022-03-20 | Fulton | New York | 36035 | 12453 | 166 |
2325658 | 2325658 | 2022-03-20 | Genesee | New York | 36037 | 13588 | 184 |
2325659 | 2325659 | 2022-03-20 | Greene | New York | 36039 | 8517 | 123 |
2325660 | 2325660 | 2022-03-20 | Hamilton | New York | 36041 | 856 | 5 |
2325661 | 2325661 | 2022-03-20 | Herkimer | New York | 36043 | 13651 | 189 |
2325662 | 2325662 | 2022-03-20 | Jefferson | New York | 36045 | 19851 | 132 |
2325663 | 2325663 | 2022-03-20 | Lewis | New York | 36049 | 6123 | 49 |
2325664 | 2325664 | 2022-03-20 | Livingston | New York | 36051 | 11555 | 113 |
2325665 | 2325665 | 2022-03-20 | Madison | New York | 36053 | 12871 | 125 |
2325666 | 2325666 | 2022-03-20 | Monroe | New York | 36055 | 150214 | 1546 |
2325667 | 2325667 | 2022-03-20 | Montgomery | New York | 36057 | 11773 | 202 |
2325668 | 2325668 | 2022-03-20 | Nassau | New York | 36059 | 400564 | 3820 |
2325669 | 2325669 | 2022-03-20 | New York City | New York | 2293668 | 40019 | |
2325670 | 2325670 | 2022-03-20 | Niagara | New York | 36063 | 47534 | 568 |
2325671 | 2325671 | 2022-03-20 | Oneida | New York | 36065 | 52645 | 781 |
2325672 | 2325672 | 2022-03-20 | Onondaga | New York | 36067 | 109547 | 1038 |
2325673 | 2325673 | 2022-03-20 | Ontario | New York | 36069 | 19691 | 173 |
2325674 | 2325674 | 2022-03-20 | Orange | New York | 36071 | 105931 | 944 |
2325675 | 2325675 | 2022-03-20 | Orleans | New York | 36073 | 8554 | 113 |
2325676 | 2325676 | 2022-03-20 | Oswego | New York | 36075 | 25447 | 183 |
2325677 | 2325677 | 2022-03-20 | Otsego | New York | 36077 | 9762 | 88 |
2325678 | 2325678 | 2022-03-20 | Putnam | New York | 36079 | 23436 | 121 |
2325679 | 2325679 | 2022-03-20 | Rensselaer | New York | 36083 | 31115 | 247 |
2325680 | 2325680 | 2022-03-20 | Rockland | New York | 36087 | 91700 | 891 |
2325681 | 2325681 | 2022-03-20 | Saratoga | New York | 36091 | 45648 | 323 |
2325682 | 2325682 | 2022-03-20 | Schenectady | New York | 36093 | 32610 | 297 |
2325683 | 2325683 | 2022-03-20 | Schoharie | New York | 36095 | 4952 | 34 |
2325684 | 2325684 | 2022-03-20 | Schuyler | New York | 36097 | 3414 | 25 |
2325685 | 2325685 | 2022-03-20 | Seneca | New York | 36099 | 5835 | 89 |
2325686 | 2325686 | 2022-03-20 | St. Lawrence | New York | 36089 | 20895 | 181 |
2325687 | 2325687 | 2022-03-20 | Steuben | New York | 36101 | 19730 | 247 |
2325688 | 2325688 | 2022-03-20 | Suffolk | New York | 36103 | 424453 | 4357 |
2325689 | 2325689 | 2022-03-20 | Sullivan | New York | 36105 | 18285 | 129 |
2325690 | 2325690 | 2022-03-20 | Tioga | New York | 36107 | 10610 | 82 |
2325691 | 2325691 | 2022-03-20 | Tompkins | New York | 36109 | 17939 | 83 |
2325692 | 2325692 | 2022-03-20 | Ulster | New York | 36111 | 31340 | 360 |
2325693 | 2325693 | 2022-03-20 | Warren | New York | 36113 | 13424 | 125 |
2325694 | 2325694 | 2022-03-20 | Washington | New York | 36115 | 11971 | 113 |
2325695 | 2325695 | 2022-03-20 | Wayne | New York | 36117 | 17048 | 170 |
2325696 | 2325696 | 2022-03-20 | Westchester | New York | 36119 | 248705 | 2698 |
2325697 | 2325697 | 2022-03-20 | Wyoming | New York | 36121 | 8253 | 82 |
2325698 | 2325698 | 2022-03-20 | Yates | New York | 36123 | 3336 | 39 |
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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);