ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
59 rows where "date" is on date 2020-04-02 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
county 59
- 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
- Unknown 1
- Warren 1
- Washington 1
- Wayne 1
- Westchester 1
- Wyoming 1
- Yates 1
fips 58
- - 2
- 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
state 1
- New York · 59 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
27439 | 27439 | 2020-04-02 | Albany | New York | 36001 | 253 | 2 |
27440 | 27440 | 2020-04-02 | Allegany | New York | 36003 | 12 | 1 |
27441 | 27441 | 2020-04-02 | Broome | New York | 36007 | 46 | 4 |
27442 | 27442 | 2020-04-02 | Cattaraugus | New York | 36009 | 8 | 0 |
27443 | 27443 | 2020-04-02 | Cayuga | New York | 36011 | 6 | 0 |
27444 | 27444 | 2020-04-02 | Chautauqua | New York | 36013 | 10 | 1 |
27445 | 27445 | 2020-04-02 | Chemung | New York | 36015 | 22 | 0 |
27446 | 27446 | 2020-04-02 | Chenango | New York | 36017 | 28 | 0 |
27447 | 27447 | 2020-04-02 | Clinton | New York | 36019 | 25 | 0 |
27448 | 27448 | 2020-04-02 | Columbia | New York | 36021 | 41 | 2 |
27449 | 27449 | 2020-04-02 | Cortland | New York | 36023 | 10 | 0 |
27450 | 27450 | 2020-04-02 | Delaware | New York | 36025 | 23 | 1 |
27451 | 27451 | 2020-04-02 | Dutchess | New York | 36027 | 667 | 9 |
27452 | 27452 | 2020-04-02 | Erie | New York | 36029 | 734 | 19 |
27453 | 27453 | 2020-04-02 | Essex | New York | 36031 | 6 | 0 |
27454 | 27454 | 2020-04-02 | Franklin | New York | 36033 | 9 | 0 |
27455 | 27455 | 2020-04-02 | Fulton | New York | 36035 | 6 | 0 |
27456 | 27456 | 2020-04-02 | Genesee | New York | 36037 | 17 | 1 |
27457 | 27457 | 2020-04-02 | Greene | New York | 36039 | 21 | 0 |
27458 | 27458 | 2020-04-02 | Hamilton | New York | 36041 | 2 | 0 |
27459 | 27459 | 2020-04-02 | Herkimer | New York | 36043 | 16 | 2 |
27460 | 27460 | 2020-04-02 | Jefferson | New York | 36045 | 15 | 0 |
27461 | 27461 | 2020-04-02 | Lewis | New York | 36049 | 3 | 0 |
27462 | 27462 | 2020-04-02 | Livingston | New York | 36051 | 18 | 1 |
27463 | 27463 | 2020-04-02 | Madison | New York | 36053 | 77 | 2 |
27464 | 27464 | 2020-04-02 | Monroe | New York | 36055 | 420 | 10 |
27465 | 27465 | 2020-04-02 | Montgomery | New York | 36057 | 8 | 0 |
27466 | 27466 | 2020-04-02 | Nassau | New York | 36059 | 10587 | 95 |
27467 | 27467 | 2020-04-02 | New York City | New York | 52400 | 2152 | |
27468 | 27468 | 2020-04-02 | Niagara | New York | 36063 | 91 | 0 |
27469 | 27469 | 2020-04-02 | Oneida | New York | 36065 | 68 | 1 |
27470 | 27470 | 2020-04-02 | Onondaga | New York | 36067 | 301 | 2 |
27471 | 27471 | 2020-04-02 | Ontario | New York | 36069 | 31 | 0 |
27472 | 27472 | 2020-04-02 | Orange | New York | 36071 | 2048 | 30 |
27473 | 27473 | 2020-04-02 | Orleans | New York | 36073 | 6 | 0 |
27474 | 27474 | 2020-04-02 | Oswego | New York | 36075 | 28 | 2 |
27475 | 27475 | 2020-04-02 | Otsego | New York | 36077 | 21 | 1 |
27476 | 27476 | 2020-04-02 | Putnam | New York | 36079 | 236 | 0 |
27477 | 27477 | 2020-04-02 | Rensselaer | New York | 36083 | 67 | 1 |
27478 | 27478 | 2020-04-02 | Rockland | New York | 36087 | 3751 | 42 |
27479 | 27479 | 2020-04-02 | Saratoga | New York | 36091 | 132 | 1 |
27480 | 27480 | 2020-04-02 | Schenectady | New York | 36093 | 101 | 5 |
27481 | 27481 | 2020-04-02 | Schoharie | New York | 36095 | 8 | 0 |
27482 | 27482 | 2020-04-02 | Schuyler | New York | 36097 | 3 | 0 |
27483 | 27483 | 2020-04-02 | Seneca | New York | 36099 | 5 | 0 |
27484 | 27484 | 2020-04-02 | St. Lawrence | New York | 36089 | 42 | 0 |
27485 | 27485 | 2020-04-02 | Steuben | New York | 36101 | 49 | 1 |
27486 | 27486 | 2020-04-02 | Suffolk | New York | 36103 | 8746 | 84 |
27487 | 27487 | 2020-04-02 | Sullivan | New York | 36105 | 156 | 5 |
27488 | 27488 | 2020-04-02 | Tioga | New York | 36107 | 8 | 0 |
27489 | 27489 | 2020-04-02 | Tompkins | New York | 36109 | 87 | 0 |
27490 | 27490 | 2020-04-02 | Ulster | New York | 36111 | 243 | 3 |
27491 | 27491 | 2020-04-02 | Unknown | New York | 0 | 415 | |
27492 | 27492 | 2020-04-02 | Warren | New York | 36113 | 19 | 0 |
27493 | 27493 | 2020-04-02 | Washington | New York | 36115 | 13 | 0 |
27494 | 27494 | 2020-04-02 | Wayne | New York | 36117 | 27 | 0 |
27495 | 27495 | 2020-04-02 | Westchester | New York | 36119 | 11566 | 67 |
27496 | 27496 | 2020-04-02 | Wyoming | New York | 36121 | 15 | 1 |
27497 | 27497 | 2020-04-02 | Yates | New York | 36123 | 2 | 0 |
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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);