ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
58 rows where date = "2020-07-30" 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 |
---|---|---|---|---|---|---|---|
384546 | 384546 | 2020-07-30 | Albany | New York | 36001 | 2493 | 169 |
384547 | 384547 | 2020-07-30 | Allegany | New York | 36003 | 74 | 0 |
384548 | 384548 | 2020-07-30 | Broome | New York | 36007 | 1029 | 76 |
384549 | 384549 | 2020-07-30 | Cattaraugus | New York | 36009 | 157 | 5 |
384550 | 384550 | 2020-07-30 | Cayuga | New York | 36011 | 141 | 1 |
384551 | 384551 | 2020-07-30 | Chautauqua | New York | 36013 | 224 | 5 |
384552 | 384552 | 2020-07-30 | Chemung | New York | 36015 | 162 | 5 |
384553 | 384553 | 2020-07-30 | Chenango | New York | 36017 | 206 | 3 |
384554 | 384554 | 2020-07-30 | Clinton | New York | 36019 | 125 | 4 |
384555 | 384555 | 2020-07-30 | Columbia | New York | 36021 | 513 | 43 |
384556 | 384556 | 2020-07-30 | Cortland | New York | 36023 | 90 | 0 |
384557 | 384557 | 2020-07-30 | Delaware | New York | 36025 | 101 | 0 |
384558 | 384558 | 2020-07-30 | Dutchess | New York | 36027 | 4468 | 162 |
384559 | 384559 | 2020-07-30 | Erie | New York | 36029 | 8434 | 621 |
384560 | 384560 | 2020-07-30 | Essex | New York | 36031 | 63 | 0 |
384561 | 384561 | 2020-07-30 | Franklin | New York | 36033 | 48 | 1 |
384562 | 384562 | 2020-07-30 | Fulton | New York | 36035 | 275 | 20 |
384563 | 384563 | 2020-07-30 | Genesee | New York | 36037 | 270 | 6 |
384564 | 384564 | 2020-07-30 | Greene | New York | 36039 | 287 | 5 |
384565 | 384565 | 2020-07-30 | Hamilton | New York | 36041 | 7 | 0 |
384566 | 384566 | 2020-07-30 | Herkimer | New York | 36043 | 239 | 2 |
384567 | 384567 | 2020-07-30 | Jefferson | New York | 36045 | 128 | 0 |
384568 | 384568 | 2020-07-30 | Lewis | New York | 36049 | 34 | 0 |
384569 | 384569 | 2020-07-30 | Livingston | New York | 36051 | 164 | 4 |
384570 | 384570 | 2020-07-30 | Madison | New York | 36053 | 396 | 6 |
384571 | 384571 | 2020-07-30 | Monroe | New York | 36055 | 4678 | 266 |
384572 | 384572 | 2020-07-30 | Montgomery | New York | 36057 | 152 | 5 |
384573 | 384573 | 2020-07-30 | Nassau | New York | 36059 | 43158 | 2706 |
384574 | 384574 | 2020-07-30 | New York City | New York | 229551 | 22996 | |
384575 | 384575 | 2020-07-30 | Niagara | New York | 36063 | 1434 | 68 |
384576 | 384576 | 2020-07-30 | Oneida | New York | 36065 | 2062 | 110 |
384577 | 384577 | 2020-07-30 | Onondaga | New York | 36067 | 3459 | 187 |
384578 | 384578 | 2020-07-30 | Ontario | New York | 36069 | 349 | 26 |
384579 | 384579 | 2020-07-30 | Orange | New York | 36071 | 11087 | 404 |
384580 | 384580 | 2020-07-30 | Orleans | New York | 36073 | 291 | 41 |
384581 | 384581 | 2020-07-30 | Oswego | New York | 36075 | 240 | 0 |
384582 | 384582 | 2020-07-30 | Otsego | New York | 36077 | 107 | 6 |
384583 | 384583 | 2020-07-30 | Putnam | New York | 36079 | 1418 | 61 |
384584 | 384584 | 2020-07-30 | Rensselaer | New York | 36083 | 718 | 39 |
384585 | 384585 | 2020-07-30 | Rockland | New York | 36087 | 13860 | 470 |
384586 | 384586 | 2020-07-30 | Saratoga | New York | 36091 | 709 | 5 |
384587 | 384587 | 2020-07-30 | Schenectady | New York | 36093 | 1018 | 36 |
384588 | 384588 | 2020-07-30 | Schoharie | New York | 36095 | 68 | 0 |
384589 | 384589 | 2020-07-30 | Schuyler | New York | 36097 | 20 | 0 |
384590 | 384590 | 2020-07-30 | Seneca | New York | 36099 | 84 | 0 |
384591 | 384591 | 2020-07-30 | St. Lawrence | New York | 36089 | 260 | 4 |
384592 | 384592 | 2020-07-30 | Steuben | New York | 36101 | 290 | 19 |
384593 | 384593 | 2020-07-30 | Suffolk | New York | 36103 | 43170 | 2043 |
384594 | 384594 | 2020-07-30 | Sullivan | New York | 36105 | 1479 | 32 |
384595 | 384595 | 2020-07-30 | Tioga | New York | 36107 | 184 | 19 |
384596 | 384596 | 2020-07-30 | Tompkins | New York | 36109 | 227 | 2 |
384597 | 384597 | 2020-07-30 | Ulster | New York | 36111 | 2010 | 49 |
384598 | 384598 | 2020-07-30 | Warren | New York | 36113 | 298 | 31 |
384599 | 384599 | 2020-07-30 | Washington | New York | 36115 | 254 | 11 |
384600 | 384600 | 2020-07-30 | Wayne | New York | 36117 | 243 | 1 |
384601 | 384601 | 2020-07-30 | Westchester | New York | 36119 | 35912 | 1578 |
384602 | 384602 | 2020-07-30 | Wyoming | New York | 36121 | 111 | 3 |
384603 | 384603 | 2020-07-30 | Yates | New York | 36123 | 52 | 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);