ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
58 rows where date = "2020-09-12" and state = "New York" sorted by date descending
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Suggested facets: date (date)
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 |
---|---|---|---|---|---|---|---|
526553 | 526553 | 2020-09-12 | Albany | New York | 36001 | 2896 | 123 |
526554 | 526554 | 2020-09-12 | Allegany | New York | 36003 | 94 | 2 |
526555 | 526555 | 2020-09-12 | Broome | New York | 36007 | 1410 | 85 |
526556 | 526556 | 2020-09-12 | Cattaraugus | New York | 36009 | 239 | 6 |
526557 | 526557 | 2020-09-12 | Cayuga | New York | 36011 | 187 | 2 |
526558 | 526558 | 2020-09-12 | Chautauqua | New York | 36013 | 507 | 4 |
526559 | 526559 | 2020-09-12 | Chemung | New York | 36015 | 247 | 2 |
526560 | 526560 | 2020-09-12 | Chenango | New York | 36017 | 245 | 6 |
526561 | 526561 | 2020-09-12 | Clinton | New York | 36019 | 152 | 5 |
526562 | 526562 | 2020-09-12 | Columbia | New York | 36021 | 577 | 47 |
526563 | 526563 | 2020-09-12 | Cortland | New York | 36023 | 119 | 1 |
526564 | 526564 | 2020-09-12 | Delaware | New York | 36025 | 128 | 4 |
526565 | 526565 | 2020-09-12 | Dutchess | New York | 36027 | 4984 | 154 |
526566 | 526566 | 2020-09-12 | Erie | New York | 36029 | 10567 | 615 |
526567 | 526567 | 2020-09-12 | Essex | New York | 36031 | 159 | 10 |
526568 | 526568 | 2020-09-12 | Franklin | New York | 36033 | 61 | 1 |
526569 | 526569 | 2020-09-12 | Fulton | New York | 36035 | 316 | 28 |
526570 | 526570 | 2020-09-12 | Genesee | New York | 36037 | 307 | 6 |
526571 | 526571 | 2020-09-12 | Greene | New York | 36039 | 317 | 14 |
526572 | 526572 | 2020-09-12 | Hamilton | New York | 36041 | 14 | 1 |
526573 | 526573 | 2020-09-12 | Herkimer | New York | 36043 | 312 | 10 |
526574 | 526574 | 2020-09-12 | Jefferson | New York | 36045 | 157 | 1 |
526575 | 526575 | 2020-09-12 | Lewis | New York | 36049 | 50 | 5 |
526576 | 526576 | 2020-09-12 | Livingston | New York | 36051 | 194 | 6 |
526577 | 526577 | 2020-09-12 | Madison | New York | 36053 | 478 | 9 |
526578 | 526578 | 2020-09-12 | Monroe | New York | 36055 | 5713 | 258 |
526579 | 526579 | 2020-09-12 | Montgomery | New York | 36057 | 218 | 9 |
526580 | 526580 | 2020-09-12 | Nassau | New York | 36059 | 45633 | 2200 |
526581 | 526581 | 2020-09-12 | New York City | New York | 242242 | 23743 | |
526582 | 526582 | 2020-09-12 | Niagara | New York | 36063 | 1678 | 89 |
526583 | 526583 | 2020-09-12 | Oneida | New York | 36065 | 2341 | 120 |
526584 | 526584 | 2020-09-12 | Onondaga | New York | 36067 | 4060 | 179 |
526585 | 526585 | 2020-09-12 | Ontario | New York | 36069 | 435 | 28 |
526586 | 526586 | 2020-09-12 | Orange | New York | 36071 | 11626 | 410 |
526587 | 526587 | 2020-09-12 | Orleans | New York | 36073 | 321 | 55 |
526588 | 526588 | 2020-09-12 | Oswego | New York | 36075 | 362 | 3 |
526589 | 526589 | 2020-09-12 | Otsego | New York | 36077 | 312 | 4 |
526590 | 526590 | 2020-09-12 | Putnam | New York | 36079 | 1554 | 63 |
526591 | 526591 | 2020-09-12 | Rensselaer | New York | 36083 | 876 | 42 |
526592 | 526592 | 2020-09-12 | Rockland | New York | 36087 | 14530 | 509 |
526593 | 526593 | 2020-09-12 | Saratoga | New York | 36091 | 955 | 15 |
526594 | 526594 | 2020-09-12 | Schenectady | New York | 36093 | 1351 | 46 |
526595 | 526595 | 2020-09-12 | Schoharie | New York | 36095 | 77 | 2 |
526596 | 526596 | 2020-09-12 | Schuyler | New York | 36097 | 32 | 0 |
526597 | 526597 | 2020-09-12 | Seneca | New York | 36099 | 104 | 1 |
526598 | 526598 | 2020-09-12 | St. Lawrence | New York | 36089 | 304 | 4 |
526599 | 526599 | 2020-09-12 | Steuben | New York | 36101 | 326 | 39 |
526600 | 526600 | 2020-09-12 | Suffolk | New York | 36103 | 45615 | 2008 |
526601 | 526601 | 2020-09-12 | Sullivan | New York | 36105 | 1549 | 37 |
526602 | 526602 | 2020-09-12 | Tioga | New York | 36107 | 219 | 21 |
526603 | 526603 | 2020-09-12 | Tompkins | New York | 36109 | 375 | 0 |
526604 | 526604 | 2020-09-12 | Ulster | New York | 36111 | 2215 | 83 |
526605 | 526605 | 2020-09-12 | Warren | New York | 36113 | 348 | 30 |
526606 | 526606 | 2020-09-12 | Washington | New York | 36115 | 283 | 14 |
526607 | 526607 | 2020-09-12 | Wayne | New York | 36117 | 301 | 3 |
526608 | 526608 | 2020-09-12 | Westchester | New York | 36119 | 37485 | 1452 |
526609 | 526609 | 2020-09-12 | Wyoming | New York | 36121 | 128 | 5 |
526610 | 526610 | 2020-09-12 | Yates | New York | 36123 | 62 | 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);