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 2022-01-11 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 |
---|---|---|---|---|---|---|---|
2104475 | 2104475 | 2022-01-11 | Albany | New York | 36001 | 48065 | 449 |
2104476 | 2104476 | 2022-01-11 | Allegany | New York | 36003 | 7455 | 140 |
2104477 | 2104477 | 2022-01-11 | Broome | New York | 36007 | 37726 | 477 |
2104478 | 2104478 | 2022-01-11 | Cattaraugus | New York | 36009 | 12456 | 195 |
2104479 | 2104479 | 2022-01-11 | Cayuga | New York | 36011 | 13057 | 123 |
2104480 | 2104480 | 2022-01-11 | Chautauqua | New York | 36013 | 19562 | 232 |
2104481 | 2104481 | 2022-01-11 | Chemung | New York | 36015 | 17111 | 198 |
2104482 | 2104482 | 2022-01-11 | Chenango | New York | 36017 | 7477 | 103 |
2104483 | 2104483 | 2022-01-11 | Clinton | New York | 36019 | 11771 | 59 |
2104484 | 2104484 | 2022-01-11 | Columbia | New York | 36021 | 7953 | 125 |
2104485 | 2104485 | 2022-01-11 | Cortland | New York | 36023 | 8262 | 93 |
2104486 | 2104486 | 2022-01-11 | Delaware | New York | 36025 | 6264 | 61 |
2104487 | 2104487 | 2022-01-11 | Dutchess | New York | 36027 | 54355 | 553 |
2104488 | 2104488 | 2022-01-11 | Erie | New York | 36029 | 174624 | 2307 |
2104489 | 2104489 | 2022-01-11 | Essex | New York | 36031 | 4320 | 49 |
2104490 | 2104490 | 2022-01-11 | Franklin | New York | 36033 | 7203 | 34 |
2104491 | 2104491 | 2022-01-11 | Fulton | New York | 36035 | 9993 | 135 |
2104492 | 2104492 | 2022-01-11 | Genesee | New York | 36037 | 11410 | 164 |
2104493 | 2104493 | 2022-01-11 | Greene | New York | 36039 | 6986 | 103 |
2104494 | 2104494 | 2022-01-11 | Hamilton | New York | 36041 | 719 | 4 |
2104495 | 2104495 | 2022-01-11 | Herkimer | New York | 36043 | 11280 | 164 |
2104496 | 2104496 | 2022-01-11 | Jefferson | New York | 36045 | 15223 | 119 |
2104497 | 2104497 | 2022-01-11 | Lewis | New York | 36049 | 5224 | 43 |
2104498 | 2104498 | 2022-01-11 | Livingston | New York | 36051 | 9463 | 96 |
2104499 | 2104499 | 2022-01-11 | Madison | New York | 36053 | 10299 | 118 |
2104500 | 2104500 | 2022-01-11 | Monroe | New York | 36055 | 129692 | 1376 |
2104501 | 2104501 | 2022-01-11 | Montgomery | New York | 36057 | 9550 | 179 |
2104502 | 2104502 | 2022-01-11 | Nassau | New York | 36059 | 357439 | 3496 |
2104503 | 2104503 | 2022-01-11 | New York City | New York | 1978014 | 36089 | |
2104504 | 2104504 | 2022-01-11 | Niagara | New York | 36063 | 40148 | 492 |
2104505 | 2104505 | 2022-01-11 | Oneida | New York | 36065 | 44063 | 714 |
2104506 | 2104506 | 2022-01-11 | Onondaga | New York | 36067 | 85964 | 908 |
2104507 | 2104507 | 2022-01-11 | Ontario | New York | 36069 | 15964 | 152 |
2104508 | 2104508 | 2022-01-11 | Orange | New York | 36071 | 91320 | 862 |
2104509 | 2104509 | 2022-01-11 | Orleans | New York | 36073 | 7159 | 104 |
2104510 | 2104510 | 2022-01-11 | Oswego | New York | 36075 | 19791 | 153 |
2104511 | 2104511 | 2022-01-11 | Otsego | New York | 36077 | 7636 | 73 |
2104512 | 2104512 | 2022-01-11 | Putnam | New York | 36079 | 20439 | 109 |
2104513 | 2104513 | 2022-01-11 | Rensselaer | New York | 36083 | 25022 | 223 |
2104514 | 2104514 | 2022-01-11 | Rockland | New York | 36087 | 79971 | 825 |
2104515 | 2104515 | 2022-01-11 | Saratoga | New York | 36091 | 36834 | 280 |
2104516 | 2104516 | 2022-01-11 | Schenectady | New York | 36093 | 26574 | 275 |
2104517 | 2104517 | 2022-01-11 | Schoharie | New York | 36095 | 3871 | 30 |
2104518 | 2104518 | 2022-01-11 | Schuyler | New York | 36097 | 2731 | 23 |
2104519 | 2104519 | 2022-01-11 | Seneca | New York | 36099 | 4473 | 83 |
2104520 | 2104520 | 2022-01-11 | St. Lawrence | New York | 36089 | 16554 | 161 |
2104521 | 2104521 | 2022-01-11 | Steuben | New York | 36101 | 15949 | 222 |
2104522 | 2104522 | 2022-01-11 | Suffolk | New York | 36103 | 379874 | 3945 |
2104523 | 2104523 | 2022-01-11 | Sullivan | New York | 36105 | 15073 | 107 |
2104524 | 2104524 | 2022-01-11 | Tioga | New York | 36107 | 8603 | 79 |
2104525 | 2104525 | 2022-01-11 | Tompkins | New York | 36109 | 13502 | 74 |
2104526 | 2104526 | 2022-01-11 | Ulster | New York | 36111 | 25719 | 317 |
2104527 | 2104527 | 2022-01-11 | Warren | New York | 36113 | 10729 | 111 |
2104528 | 2104528 | 2022-01-11 | Washington | New York | 36115 | 9548 | 96 |
2104529 | 2104529 | 2022-01-11 | Wayne | New York | 36117 | 13782 | 138 |
2104530 | 2104530 | 2022-01-11 | Westchester | New York | 36119 | 220257 | 2477 |
2104531 | 2104531 | 2022-01-11 | Wyoming | New York | 36121 | 6993 | 75 |
2104532 | 2104532 | 2022-01-11 | Yates | New York | 36123 | 2659 | 36 |
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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);