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 2020-04-07 and state = "New York" sorted by fips
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: deaths
fips >30
county >30
- 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
- …
state 1
- New York · 58 ✖
Link | rowid | date | county | state | fips ▼ | cases | deaths |
---|---|---|---|---|---|---|---|
39565 | 39565 | 2020-04-07 | Albany | New York | 36001 | 333 | 9 |
39566 | 39566 | 2020-04-07 | Allegany | New York | 36003 | 17 | 1 |
39567 | 39567 | 2020-04-07 | Broome | New York | 36007 | 86 | 5 |
39568 | 39568 | 2020-04-07 | Cattaraugus | New York | 36009 | 13 | 0 |
39569 | 39569 | 2020-04-07 | Cayuga | New York | 36011 | 14 | 1 |
39570 | 39570 | 2020-04-07 | Chautauqua | New York | 36013 | 16 | 0 |
39571 | 39571 | 2020-04-07 | Chemung | New York | 36015 | 49 | 0 |
39572 | 39572 | 2020-04-07 | Chenango | New York | 36017 | 51 | 0 |
39573 | 39573 | 2020-04-07 | Clinton | New York | 36019 | 37 | 0 |
39574 | 39574 | 2020-04-07 | Columbia | New York | 36021 | 72 | 3 |
39575 | 39575 | 2020-04-07 | Cortland | New York | 36023 | 16 | 0 |
39576 | 39576 | 2020-04-07 | Delaware | New York | 36025 | 36 | 1 |
39577 | 39577 | 2020-04-07 | Dutchess | New York | 36027 | 1249 | 15 |
39578 | 39578 | 2020-04-07 | Erie | New York | 36029 | 1163 | 36 |
39579 | 39579 | 2020-04-07 | Essex | New York | 36031 | 7 | 0 |
39580 | 39580 | 2020-04-07 | Franklin | New York | 36033 | 10 | 0 |
39581 | 39581 | 2020-04-07 | Fulton | New York | 36035 | 13 | 0 |
39582 | 39582 | 2020-04-07 | Genesee | New York | 36037 | 33 | 1 |
39583 | 39583 | 2020-04-07 | Greene | New York | 36039 | 24 | 0 |
39584 | 39584 | 2020-04-07 | Hamilton | New York | 36041 | 2 | 0 |
39585 | 39585 | 2020-04-07 | Herkimer | New York | 36043 | 32 | 3 |
39586 | 39586 | 2020-04-07 | Jefferson | New York | 36045 | 39 | 0 |
39587 | 39587 | 2020-04-07 | Lewis | New York | 36049 | 8 | 0 |
39588 | 39588 | 2020-04-07 | Livingston | New York | 36051 | 28 | 1 |
39589 | 39589 | 2020-04-07 | Madison | New York | 36053 | 92 | 2 |
39590 | 39590 | 2020-04-07 | Monroe | New York | 36055 | 596 | 31 |
39591 | 39591 | 2020-04-07 | Montgomery | New York | 36057 | 18 | 1 |
39592 | 39592 | 2020-04-07 | Nassau | New York | 36059 | 16610 | 620 |
39594 | 39594 | 2020-04-07 | Niagara | New York | 36063 | 143 | 0 |
39595 | 39595 | 2020-04-07 | Oneida | New York | 36065 | 118 | 2 |
39596 | 39596 | 2020-04-07 | Onondaga | New York | 36067 | 377 | 7 |
39597 | 39597 | 2020-04-07 | Ontario | New York | 36069 | 39 | 0 |
39598 | 39598 | 2020-04-07 | Orange | New York | 36071 | 3599 | 76 |
39599 | 39599 | 2020-04-07 | Orleans | New York | 36073 | 15 | 0 |
39600 | 39600 | 2020-04-07 | Oswego | New York | 36075 | 34 | 2 |
39601 | 39601 | 2020-04-07 | Otsego | New York | 36077 | 34 | 2 |
39602 | 39602 | 2020-04-07 | Putnam | New York | 36079 | 366 | 13 |
39603 | 39603 | 2020-04-07 | Rensselaer | New York | 36083 | 91 | 3 |
39604 | 39604 | 2020-04-07 | Rockland | New York | 36087 | 5990 | 119 |
39610 | 39610 | 2020-04-07 | St. Lawrence | New York | 36089 | 63 | 0 |
39605 | 39605 | 2020-04-07 | Saratoga | New York | 36091 | 163 | 3 |
39606 | 39606 | 2020-04-07 | Schenectady | New York | 36093 | 145 | 8 |
39607 | 39607 | 2020-04-07 | Schoharie | New York | 36095 | 12 | 0 |
39608 | 39608 | 2020-04-07 | Schuyler | New York | 36097 | 4 | 0 |
39609 | 39609 | 2020-04-07 | Seneca | New York | 36099 | 10 | 0 |
39611 | 39611 | 2020-04-07 | Steuben | New York | 36101 | 79 | 4 |
39612 | 39612 | 2020-04-07 | Suffolk | New York | 36103 | 15561 | 266 |
39613 | 39613 | 2020-04-07 | Sullivan | New York | 36105 | 270 | 7 |
39614 | 39614 | 2020-04-07 | Tioga | New York | 36107 | 10 | 0 |
39615 | 39615 | 2020-04-07 | Tompkins | New York | 36109 | 102 | 0 |
39616 | 39616 | 2020-04-07 | Ulster | New York | 36111 | 402 | 5 |
39617 | 39617 | 2020-04-07 | Warren | New York | 36113 | 31 | 1 |
39618 | 39618 | 2020-04-07 | Washington | New York | 36115 | 19 | 1 |
39619 | 39619 | 2020-04-07 | Wayne | New York | 36117 | 35 | 0 |
39620 | 39620 | 2020-04-07 | Westchester | New York | 36119 | 14804 | 304 |
39621 | 39621 | 2020-04-07 | Wyoming | New York | 36121 | 23 | 1 |
39622 | 39622 | 2020-04-07 | Yates | New York | 36123 | 2 | 0 |
39593 | 39593 | 2020-04-07 | New York City | New York | 78498 | 5631 |
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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);