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 2022-03-28 and state = "New York" sorted by date descending
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Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
2351665 | 2351665 | 2022-03-28 | Albany | New York | 36001 | 58719 | 509 |
2351666 | 2351666 | 2022-03-28 | Allegany | New York | 36003 | 8907 | 154 |
2351667 | 2351667 | 2022-03-28 | Broome | New York | 36007 | 44975 | 510 |
2351668 | 2351668 | 2022-03-28 | Cattaraugus | New York | 36009 | 15388 | 220 |
2351669 | 2351669 | 2022-03-28 | Cayuga | New York | 36011 | 16082 | 145 |
2351670 | 2351670 | 2022-03-28 | Chautauqua | New York | 36013 | 23509 | 298 |
2351671 | 2351671 | 2022-03-28 | Chemung | New York | 36015 | 21232 | 230 |
2351672 | 2351672 | 2022-03-28 | Chenango | New York | 36017 | 9251 | 118 |
2351673 | 2351673 | 2022-03-28 | Clinton | New York | 36019 | 16665 | 86 |
2351674 | 2351674 | 2022-03-28 | Columbia | New York | 36021 | 10011 | 140 |
2351675 | 2351675 | 2022-03-28 | Cortland | New York | 36023 | 10527 | 116 |
2351676 | 2351676 | 2022-03-28 | Delaware | New York | 36025 | 7672 | 68 |
2351677 | 2351677 | 2022-03-28 | Dutchess | New York | 36027 | 63747 | 655 |
2351678 | 2351678 | 2022-03-28 | Erie | New York | 36029 | 207777 | 2608 |
2351679 | 2351679 | 2022-03-28 | Essex | New York | 36031 | 5620 | 57 |
2351680 | 2351680 | 2022-03-28 | Franklin | New York | 36033 | 9441 | 44 |
2351681 | 2351681 | 2022-03-28 | Fulton | New York | 36035 | 12526 | 167 |
2351682 | 2351682 | 2022-03-28 | Genesee | New York | 36037 | 13611 | 184 |
2351683 | 2351683 | 2022-03-28 | Greene | New York | 36039 | 8593 | 124 |
2351684 | 2351684 | 2022-03-28 | Hamilton | New York | 36041 | 870 | 5 |
2351685 | 2351685 | 2022-03-28 | Herkimer | New York | 36043 | 13723 | 189 |
2351686 | 2351686 | 2022-03-28 | Jefferson | New York | 36045 | 19941 | 135 |
2351687 | 2351687 | 2022-03-28 | Lewis | New York | 36049 | 6129 | 49 |
2351688 | 2351688 | 2022-03-28 | Livingston | New York | 36051 | 11579 | 115 |
2351689 | 2351689 | 2022-03-28 | Madison | New York | 36053 | 13017 | 125 |
2351690 | 2351690 | 2022-03-28 | Monroe | New York | 36055 | 150904 | 1548 |
2351691 | 2351691 | 2022-03-28 | Montgomery | New York | 36057 | 11825 | 202 |
2351692 | 2351692 | 2022-03-28 | Nassau | New York | 36059 | 401999 | 3821 |
2351693 | 2351693 | 2022-03-28 | New York City | New York | 2303319 | 40064 | |
2351694 | 2351694 | 2022-03-28 | Niagara | New York | 36063 | 47706 | 569 |
2351695 | 2351695 | 2022-03-28 | Oneida | New York | 36065 | 52951 | 781 |
2351696 | 2351696 | 2022-03-28 | Onondaga | New York | 36067 | 111323 | 1040 |
2351697 | 2351697 | 2022-03-28 | Ontario | New York | 36069 | 19815 | 175 |
2351698 | 2351698 | 2022-03-28 | Orange | New York | 36071 | 106250 | 945 |
2351699 | 2351699 | 2022-03-28 | Orleans | New York | 36073 | 8575 | 113 |
2351700 | 2351700 | 2022-03-28 | Oswego | New York | 36075 | 25822 | 183 |
2351701 | 2351701 | 2022-03-28 | Otsego | New York | 36077 | 9841 | 88 |
2351702 | 2351702 | 2022-03-28 | Putnam | New York | 36079 | 23516 | 121 |
2351703 | 2351703 | 2022-03-28 | Rensselaer | New York | 36083 | 31219 | 248 |
2351704 | 2351704 | 2022-03-28 | Rockland | New York | 36087 | 91979 | 891 |
2351705 | 2351705 | 2022-03-28 | Saratoga | New York | 36091 | 45873 | 325 |
2351706 | 2351706 | 2022-03-28 | Schenectady | New York | 36093 | 32777 | 297 |
2351707 | 2351707 | 2022-03-28 | Schoharie | New York | 36095 | 4972 | 35 |
2351708 | 2351708 | 2022-03-28 | Schuyler | New York | 36097 | 3443 | 25 |
2351709 | 2351709 | 2022-03-28 | Seneca | New York | 36099 | 5884 | 89 |
2351710 | 2351710 | 2022-03-28 | St. Lawrence | New York | 36089 | 21009 | 183 |
2351711 | 2351711 | 2022-03-28 | Steuben | New York | 36101 | 19819 | 247 |
2351712 | 2351712 | 2022-03-28 | Suffolk | New York | 36103 | 425373 | 4359 |
2351713 | 2351713 | 2022-03-28 | Sullivan | New York | 36105 | 18321 | 129 |
2351714 | 2351714 | 2022-03-28 | Tioga | New York | 36107 | 10667 | 82 |
2351715 | 2351715 | 2022-03-28 | Tompkins | New York | 36109 | 18423 | 83 |
2351716 | 2351716 | 2022-03-28 | Ulster | New York | 36111 | 31531 | 360 |
2351717 | 2351717 | 2022-03-28 | Warren | New York | 36113 | 13520 | 125 |
2351718 | 2351718 | 2022-03-28 | Washington | New York | 36115 | 12019 | 113 |
2351719 | 2351719 | 2022-03-28 | Wayne | New York | 36117 | 17117 | 171 |
2351720 | 2351720 | 2022-03-28 | Westchester | New York | 36119 | 249660 | 2701 |
2351721 | 2351721 | 2022-03-28 | Wyoming | New York | 36121 | 8264 | 82 |
2351722 | 2351722 | 2022-03-28 | Yates | New York | 36123 | 3361 | 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);