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 2020-10-23 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases
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 |
---|---|---|---|---|---|---|---|
659448 | 659448 | 2020-10-23 | Albany | New York | 36001 | 3516 | 127 |
659449 | 659449 | 2020-10-23 | Allegany | New York | 36003 | 264 | 9 |
659450 | 659450 | 2020-10-23 | Broome | New York | 36007 | 3262 | 90 |
659451 | 659451 | 2020-10-23 | Cattaraugus | New York | 36009 | 447 | 17 |
659452 | 659452 | 2020-10-23 | Cayuga | New York | 36011 | 351 | 3 |
659453 | 659453 | 2020-10-23 | Chautauqua | New York | 36013 | 868 | 4 |
659454 | 659454 | 2020-10-23 | Chemung | New York | 36015 | 1510 | 11 |
659455 | 659455 | 2020-10-23 | Chenango | New York | 36017 | 358 | 6 |
659456 | 659456 | 2020-10-23 | Clinton | New York | 36019 | 232 | 5 |
659457 | 659457 | 2020-10-23 | Columbia | New York | 36021 | 667 | 48 |
659458 | 659458 | 2020-10-23 | Cortland | New York | 36023 | 488 | 1 |
659459 | 659459 | 2020-10-23 | Delaware | New York | 36025 | 166 | 5 |
659460 | 659460 | 2020-10-23 | Dutchess | New York | 36027 | 5403 | 165 |
659461 | 659461 | 2020-10-23 | Erie | New York | 36029 | 12705 | 647 |
659462 | 659462 | 2020-10-23 | Essex | New York | 36031 | 203 | 14 |
659463 | 659463 | 2020-10-23 | Franklin | New York | 36033 | 79 | 1 |
659464 | 659464 | 2020-10-23 | Fulton | New York | 36035 | 361 | 28 |
659465 | 659465 | 2020-10-23 | Genesee | New York | 36037 | 377 | 6 |
659466 | 659466 | 2020-10-23 | Greene | New York | 36039 | 488 | 15 |
659467 | 659467 | 2020-10-23 | Hamilton | New York | 36041 | 16 | 1 |
659468 | 659468 | 2020-10-23 | Herkimer | New York | 36043 | 380 | 10 |
659469 | 659469 | 2020-10-23 | Jefferson | New York | 36045 | 197 | 1 |
659470 | 659470 | 2020-10-23 | Lewis | New York | 36049 | 68 | 5 |
659471 | 659471 | 2020-10-23 | Livingston | New York | 36051 | 266 | 6 |
659472 | 659472 | 2020-10-23 | Madison | New York | 36053 | 552 | 9 |
659473 | 659473 | 2020-10-23 | Monroe | New York | 36055 | 6993 | 261 |
659474 | 659474 | 2020-10-23 | Montgomery | New York | 36057 | 261 | 9 |
659475 | 659475 | 2020-10-23 | Nassau | New York | 36059 | 49042 | 2208 |
659476 | 659476 | 2020-10-23 | New York City | New York | 261863 | 23963 | |
659477 | 659477 | 2020-10-23 | Niagara | New York | 36063 | 2016 | 90 |
659478 | 659478 | 2020-10-23 | Oneida | New York | 36065 | 2644 | 126 |
659479 | 659479 | 2020-10-23 | Onondaga | New York | 36067 | 5222 | 184 |
659480 | 659480 | 2020-10-23 | Ontario | New York | 36069 | 629 | 29 |
659481 | 659481 | 2020-10-23 | Orange | New York | 36071 | 13357 | 419 |
659482 | 659482 | 2020-10-23 | Orleans | New York | 36073 | 379 | 55 |
659483 | 659483 | 2020-10-23 | Oswego | New York | 36075 | 607 | 4 |
659484 | 659484 | 2020-10-23 | Otsego | New York | 36077 | 378 | 4 |
659485 | 659485 | 2020-10-23 | Putnam | New York | 36079 | 1780 | 63 |
659486 | 659486 | 2020-10-23 | Rensselaer | New York | 36083 | 1064 | 42 |
659487 | 659487 | 2020-10-23 | Rockland | New York | 36087 | 17581 | 512 |
659488 | 659488 | 2020-10-23 | Saratoga | New York | 36091 | 1265 | 15 |
659489 | 659489 | 2020-10-23 | Schenectady | New York | 36093 | 1530 | 48 |
659490 | 659490 | 2020-10-23 | Schoharie | New York | 36095 | 104 | 2 |
659491 | 659491 | 2020-10-23 | Schuyler | New York | 36097 | 111 | 2 |
659492 | 659492 | 2020-10-23 | Seneca | New York | 36099 | 139 | 2 |
659493 | 659493 | 2020-10-23 | St. Lawrence | New York | 36089 | 379 | 4 |
659494 | 659494 | 2020-10-23 | Steuben | New York | 36101 | 929 | 69 |
659495 | 659495 | 2020-10-23 | Suffolk | New York | 36103 | 48399 | 2019 |
659496 | 659496 | 2020-10-23 | Sullivan | New York | 36105 | 1714 | 37 |
659497 | 659497 | 2020-10-23 | Tioga | New York | 36107 | 512 | 25 |
659498 | 659498 | 2020-10-23 | Tompkins | New York | 36109 | 585 | 0 |
659499 | 659499 | 2020-10-23 | Ulster | New York | 36111 | 2450 | 84 |
659500 | 659500 | 2020-10-23 | Warren | New York | 36113 | 445 | 30 |
659501 | 659501 | 2020-10-23 | Washington | New York | 36115 | 327 | 14 |
659502 | 659502 | 2020-10-23 | Wayne | New York | 36117 | 408 | 3 |
659503 | 659503 | 2020-10-23 | Westchester | New York | 36119 | 39889 | 1470 |
659504 | 659504 | 2020-10-23 | Wyoming | New York | 36121 | 177 | 5 |
659505 | 659505 | 2020-10-23 | Yates | New York | 36123 | 107 | 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);