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 2020-06-29 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 |
---|---|---|---|---|---|---|---|
285711 | 285711 | 2020-06-29 | Albany | New York | 36001 | 2099 | 159 |
285712 | 285712 | 2020-06-29 | Allegany | New York | 36003 | 59 | 0 |
285713 | 285713 | 2020-06-29 | Broome | New York | 36007 | 710 | 61 |
285714 | 285714 | 2020-06-29 | Cattaraugus | New York | 36009 | 123 | 5 |
285715 | 285715 | 2020-06-29 | Cayuga | New York | 36011 | 114 | 1 |
285716 | 285716 | 2020-06-29 | Chautauqua | New York | 36013 | 123 | 4 |
285717 | 285717 | 2020-06-29 | Chemung | New York | 36015 | 140 | 5 |
285718 | 285718 | 2020-06-29 | Chenango | New York | 36017 | 146 | 3 |
285719 | 285719 | 2020-06-29 | Clinton | New York | 36019 | 101 | 4 |
285720 | 285720 | 2020-06-29 | Columbia | New York | 36021 | 463 | 43 |
285721 | 285721 | 2020-06-29 | Cortland | New York | 36023 | 47 | 0 |
285722 | 285722 | 2020-06-29 | Delaware | New York | 36025 | 91 | 0 |
285723 | 285723 | 2020-06-29 | Dutchess | New York | 36027 | 4201 | 159 |
285724 | 285724 | 2020-06-29 | Erie | New York | 36029 | 7249 | 594 |
285725 | 285725 | 2020-06-29 | Essex | New York | 36031 | 50 | 0 |
285726 | 285726 | 2020-06-29 | Franklin | New York | 36033 | 30 | 0 |
285727 | 285727 | 2020-06-29 | Fulton | New York | 36035 | 256 | 18 |
285728 | 285728 | 2020-06-29 | Genesee | New York | 36037 | 238 | 6 |
285729 | 285729 | 2020-06-29 | Greene | New York | 36039 | 260 | 5 |
285730 | 285730 | 2020-06-29 | Hamilton | New York | 36041 | 6 | 0 |
285731 | 285731 | 2020-06-29 | Herkimer | New York | 36043 | 159 | 1 |
285732 | 285732 | 2020-06-29 | Jefferson | New York | 36045 | 86 | 0 |
285733 | 285733 | 2020-06-29 | Lewis | New York | 36049 | 30 | 0 |
285734 | 285734 | 2020-06-29 | Livingston | New York | 36051 | 128 | 4 |
285735 | 285735 | 2020-06-29 | Madison | New York | 36053 | 353 | 4 |
285736 | 285736 | 2020-06-29 | Monroe | New York | 36055 | 3710 | 261 |
285737 | 285737 | 2020-06-29 | Montgomery | New York | 36057 | 118 | 5 |
285738 | 285738 | 2020-06-29 | Nassau | New York | 36059 | 41780 | 2692 |
285739 | 285739 | 2020-06-29 | New York City | New York | 219670 | 21941 | |
285740 | 285740 | 2020-06-29 | Niagara | New York | 36063 | 1228 | 66 |
285741 | 285741 | 2020-06-29 | Oneida | New York | 36065 | 1616 | 92 |
285742 | 285742 | 2020-06-29 | Onondaga | New York | 36067 | 2822 | 176 |
285743 | 285743 | 2020-06-29 | Ontario | New York | 36069 | 257 | 25 |
285744 | 285744 | 2020-06-29 | Orange | New York | 36071 | 10731 | 399 |
285745 | 285745 | 2020-06-29 | Orleans | New York | 36073 | 281 | 41 |
285746 | 285746 | 2020-06-29 | Oswego | New York | 36075 | 196 | 0 |
285747 | 285747 | 2020-06-29 | Otsego | New York | 36077 | 84 | 6 |
285748 | 285748 | 2020-06-29 | Putnam | New York | 36079 | 1325 | 61 |
285749 | 285749 | 2020-06-29 | Rensselaer | New York | 36083 | 553 | 37 |
285750 | 285750 | 2020-06-29 | Rockland | New York | 36087 | 13580 | 469 |
285751 | 285751 | 2020-06-29 | Saratoga | New York | 36091 | 549 | 5 |
285752 | 285752 | 2020-06-29 | Schenectady | New York | 36093 | 799 | 34 |
285753 | 285753 | 2020-06-29 | Schoharie | New York | 36095 | 58 | 0 |
285754 | 285754 | 2020-06-29 | Schuyler | New York | 36097 | 12 | 0 |
285755 | 285755 | 2020-06-29 | Seneca | New York | 36099 | 69 | 0 |
285756 | 285756 | 2020-06-29 | St. Lawrence | New York | 36089 | 219 | 3 |
285757 | 285757 | 2020-06-29 | Steuben | New York | 36101 | 266 | 19 |
285758 | 285758 | 2020-06-29 | Suffolk | New York | 36103 | 41339 | 2026 |
285759 | 285759 | 2020-06-29 | Sullivan | New York | 36105 | 1451 | 31 |
285760 | 285760 | 2020-06-29 | Tioga | New York | 36107 | 142 | 18 |
285761 | 285761 | 2020-06-29 | Tompkins | New York | 36109 | 177 | 2 |
285762 | 285762 | 2020-06-29 | Ulster | New York | 36111 | 1778 | 49 |
285763 | 285763 | 2020-06-29 | Warren | New York | 36113 | 263 | 31 |
285764 | 285764 | 2020-06-29 | Washington | New York | 36115 | 246 | 11 |
285765 | 285765 | 2020-06-29 | Wayne | New York | 36117 | 165 | 1 |
285766 | 285766 | 2020-06-29 | Westchester | New York | 36119 | 34797 | 1557 |
285767 | 285767 | 2020-06-29 | Wyoming | New York | 36121 | 95 | 3 |
285768 | 285768 | 2020-06-29 | Yates | New York | 36123 | 46 | 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);