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 2020-05-23 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 |
---|---|---|---|---|---|---|---|
171086 | 171086 | 2020-05-23 | Albany | New York | 36001 | 1770 | 138 |
171087 | 171087 | 2020-05-23 | Allegany | New York | 36003 | 44 | 0 |
171088 | 171088 | 2020-05-23 | Broome | New York | 36007 | 485 | 41 |
171089 | 171089 | 2020-05-23 | Cattaraugus | New York | 36009 | 78 | 1 |
171090 | 171090 | 2020-05-23 | Cayuga | New York | 36011 | 76 | 1 |
171091 | 171091 | 2020-05-23 | Chautauqua | New York | 36013 | 72 | 3 |
171092 | 171092 | 2020-05-23 | Chemung | New York | 36015 | 136 | 5 |
171093 | 171093 | 2020-05-23 | Chenango | New York | 36017 | 118 | 2 |
171094 | 171094 | 2020-05-23 | Clinton | New York | 36019 | 95 | 4 |
171095 | 171095 | 2020-05-23 | Columbia | New York | 36021 | 359 | 35 |
171096 | 171096 | 2020-05-23 | Cortland | New York | 36023 | 38 | 0 |
171097 | 171097 | 2020-05-23 | Delaware | New York | 36025 | 74 | 0 |
171098 | 171098 | 2020-05-23 | Dutchess | New York | 36027 | 3793 | 139 |
171099 | 171099 | 2020-05-23 | Erie | New York | 36029 | 5552 | 479 |
171100 | 171100 | 2020-05-23 | Essex | New York | 36031 | 44 | 0 |
171101 | 171101 | 2020-05-23 | Franklin | New York | 36033 | 20 | 0 |
171102 | 171102 | 2020-05-23 | Fulton | New York | 36035 | 193 | 11 |
171103 | 171103 | 2020-05-23 | Genesee | New York | 36037 | 191 | 4 |
171104 | 171104 | 2020-05-23 | Greene | New York | 36039 | 217 | 5 |
171105 | 171105 | 2020-05-23 | Hamilton | New York | 36041 | 5 | 0 |
171106 | 171106 | 2020-05-23 | Herkimer | New York | 36043 | 100 | 1 |
171107 | 171107 | 2020-05-23 | Jefferson | New York | 36045 | 72 | 0 |
171108 | 171108 | 2020-05-23 | Lewis | New York | 36049 | 19 | 0 |
171109 | 171109 | 2020-05-23 | Livingston | New York | 36051 | 114 | 4 |
171110 | 171110 | 2020-05-23 | Madison | New York | 36053 | 301 | 4 |
171111 | 171111 | 2020-05-23 | Monroe | New York | 36055 | 2662 | 185 |
171112 | 171112 | 2020-05-23 | Montgomery | New York | 36057 | 77 | 4 |
171113 | 171113 | 2020-05-23 | Nassau | New York | 36059 | 39726 | 2578 |
171114 | 171114 | 2020-05-23 | New York City | New York | 202062 | 20621 | |
171115 | 171115 | 2020-05-23 | Niagara | New York | 36063 | 927 | 40 |
171116 | 171116 | 2020-05-23 | Oneida | New York | 36065 | 864 | 41 |
171117 | 171117 | 2020-05-23 | Onondaga | New York | 36067 | 1904 | 106 |
171118 | 171118 | 2020-05-23 | Ontario | New York | 36069 | 182 | 9 |
171119 | 171119 | 2020-05-23 | Orange | New York | 36071 | 10212 | 359 |
171120 | 171120 | 2020-05-23 | Orleans | New York | 36073 | 196 | 20 |
171121 | 171121 | 2020-05-23 | Oswego | New York | 36075 | 99 | 0 |
171122 | 171122 | 2020-05-23 | Otsego | New York | 36077 | 68 | 6 |
171123 | 171123 | 2020-05-23 | Putnam | New York | 36079 | 1200 | 59 |
171124 | 171124 | 2020-05-23 | Rensselaer | New York | 36083 | 463 | 32 |
171125 | 171125 | 2020-05-23 | Rockland | New York | 36087 | 12934 | 452 |
171126 | 171126 | 2020-05-23 | Saratoga | New York | 36091 | 452 | 4 |
171127 | 171127 | 2020-05-23 | Schenectady | New York | 36093 | 648 | 28 |
171128 | 171128 | 2020-05-23 | Schoharie | New York | 36095 | 49 | 0 |
171129 | 171129 | 2020-05-23 | Schuyler | New York | 36097 | 11 | 0 |
171130 | 171130 | 2020-05-23 | Seneca | New York | 36099 | 54 | 0 |
171131 | 171131 | 2020-05-23 | St. Lawrence | New York | 36089 | 196 | 2 |
171132 | 171132 | 2020-05-23 | Steuben | New York | 36101 | 240 | 18 |
171133 | 171133 | 2020-05-23 | Suffolk | New York | 36103 | 38802 | 1871 |
171134 | 171134 | 2020-05-23 | Sullivan | New York | 36105 | 1297 | 24 |
171135 | 171135 | 2020-05-23 | Tioga | New York | 36107 | 121 | 18 |
171136 | 171136 | 2020-05-23 | Tompkins | New York | 36109 | 149 | 2 |
171137 | 171137 | 2020-05-23 | Ulster | New York | 36111 | 1606 | 44 |
171138 | 171138 | 2020-05-23 | Warren | New York | 36113 | 249 | 28 |
171139 | 171139 | 2020-05-23 | Washington | New York | 36115 | 225 | 11 |
171140 | 171140 | 2020-05-23 | Wayne | New York | 36117 | 107 | 1 |
171141 | 171141 | 2020-05-23 | Westchester | New York | 36119 | 32880 | 1451 |
171142 | 171142 | 2020-05-23 | Wyoming | New York | 36121 | 80 | 3 |
171143 | 171143 | 2020-05-23 | Yates | New York | 36123 | 37 | 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);