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 2022-02-10 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 |
---|---|---|---|---|---|---|---|
2202068 | 2202068 | 2022-02-10 | Albany | New York | 36001 | 57086 | 491 |
2202069 | 2202069 | 2022-02-10 | Allegany | New York | 36003 | 8573 | 146 |
2202070 | 2202070 | 2022-02-10 | Broome | New York | 36007 | 43340 | 499 |
2202071 | 2202071 | 2022-02-10 | Cattaraugus | New York | 36009 | 14854 | 208 |
2202072 | 2202072 | 2022-02-10 | Cayuga | New York | 36011 | 15317 | 138 |
2202073 | 2202073 | 2022-02-10 | Chautauqua | New York | 36013 | 22947 | 268 |
2202074 | 2202074 | 2022-02-10 | Chemung | New York | 36015 | 20582 | 224 |
2202075 | 2202075 | 2022-02-10 | Chenango | New York | 36017 | 8889 | 115 |
2202076 | 2202076 | 2022-02-10 | Clinton | New York | 36019 | 15581 | 75 |
2202077 | 2202077 | 2022-02-10 | Columbia | New York | 36021 | 9677 | 137 |
2202078 | 2202078 | 2022-02-10 | Cortland | New York | 36023 | 10065 | 111 |
2202079 | 2202079 | 2022-02-10 | Delaware | New York | 36025 | 7408 | 68 |
2202080 | 2202080 | 2022-02-10 | Dutchess | New York | 36027 | 62548 | 631 |
2202081 | 2202081 | 2022-02-10 | Erie | New York | 36029 | 203336 | 2523 |
2202082 | 2202082 | 2022-02-10 | Essex | New York | 36031 | 5286 | 54 |
2202083 | 2202083 | 2022-02-10 | Franklin | New York | 36033 | 8726 | 40 |
2202084 | 2202084 | 2022-02-10 | Fulton | New York | 36035 | 12017 | 158 |
2202085 | 2202085 | 2022-02-10 | Genesee | New York | 36037 | 13380 | 181 |
2202086 | 2202086 | 2022-02-10 | Greene | New York | 36039 | 8306 | 116 |
2202087 | 2202087 | 2022-02-10 | Hamilton | New York | 36041 | 810 | 5 |
2202088 | 2202088 | 2022-02-10 | Herkimer | New York | 36043 | 13306 | 184 |
2202089 | 2202089 | 2022-02-10 | Jefferson | New York | 36045 | 19132 | 128 |
2202090 | 2202090 | 2022-02-10 | Lewis | New York | 36049 | 6005 | 46 |
2202091 | 2202091 | 2022-02-10 | Livingston | New York | 36051 | 11275 | 106 |
2202092 | 2202092 | 2022-02-10 | Madison | New York | 36053 | 12423 | 123 |
2202093 | 2202093 | 2022-02-10 | Monroe | New York | 36055 | 147613 | 1510 |
2202094 | 2202094 | 2022-02-10 | Montgomery | New York | 36057 | 11433 | 194 |
2202095 | 2202095 | 2022-02-10 | Nassau | New York | 36059 | 395337 | 3766 |
2202096 | 2202096 | 2022-02-10 | New York City | New York | 2259265 | 39192 | |
2202097 | 2202097 | 2022-02-10 | Niagara | New York | 36063 | 46646 | 546 |
2202098 | 2202098 | 2022-02-10 | Oneida | New York | 36065 | 51201 | 757 |
2202099 | 2202099 | 2022-02-10 | Onondaga | New York | 36067 | 104897 | 997 |
2202100 | 2202100 | 2022-02-10 | Ontario | New York | 36069 | 19057 | 168 |
2202101 | 2202101 | 2022-02-10 | Orange | New York | 36071 | 104436 | 927 |
2202102 | 2202102 | 2022-02-10 | Orleans | New York | 36073 | 8447 | 109 |
2202103 | 2202103 | 2022-02-10 | Oswego | New York | 36075 | 24173 | 166 |
2202104 | 2202104 | 2022-02-10 | Otsego | New York | 36077 | 9388 | 82 |
2202105 | 2202105 | 2022-02-10 | Putnam | New York | 36079 | 23080 | 121 |
2202106 | 2202106 | 2022-02-10 | Rensselaer | New York | 36083 | 30206 | 240 |
2202107 | 2202107 | 2022-02-10 | Rockland | New York | 36087 | 90574 | 884 |
2202108 | 2202108 | 2022-02-10 | Saratoga | New York | 36091 | 44224 | 313 |
2202109 | 2202109 | 2022-02-10 | Schenectady | New York | 36093 | 31756 | 287 |
2202110 | 2202110 | 2022-02-10 | Schoharie | New York | 36095 | 4809 | 34 |
2202111 | 2202111 | 2022-02-10 | Schuyler | New York | 36097 | 3297 | 23 |
2202112 | 2202112 | 2022-02-10 | Seneca | New York | 36099 | 5609 | 89 |
2202113 | 2202113 | 2022-02-10 | St. Lawrence | New York | 36089 | 19791 | 171 |
2202114 | 2202114 | 2022-02-10 | Steuben | New York | 36101 | 19042 | 234 |
2202115 | 2202115 | 2022-02-10 | Suffolk | New York | 36103 | 419658 | 4288 |
2202116 | 2202116 | 2022-02-10 | Sullivan | New York | 36105 | 17923 | 122 |
2202117 | 2202117 | 2022-02-10 | Tioga | New York | 36107 | 10280 | 81 |
2202118 | 2202118 | 2022-02-10 | Tompkins | New York | 36109 | 16870 | 79 |
2202119 | 2202119 | 2022-02-10 | Ulster | New York | 36111 | 30276 | 352 |
2202120 | 2202120 | 2022-02-10 | Warren | New York | 36113 | 12954 | 117 |
2202121 | 2202121 | 2022-02-10 | Washington | New York | 36115 | 11592 | 110 |
2202122 | 2202122 | 2022-02-10 | Wayne | New York | 36117 | 16571 | 162 |
2202123 | 2202123 | 2022-02-10 | Westchester | New York | 36119 | 244499 | 2651 |
2202124 | 2202124 | 2022-02-10 | Wyoming | New York | 36121 | 8128 | 81 |
2202125 | 2202125 | 2022-02-10 | Yates | New York | 36123 | 3224 | 37 |
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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);