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 2022-03-31 and state = "New York" sorted by date descending
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Suggested facets: deaths
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 |
---|---|---|---|---|---|---|---|
2361426 | 2361426 | 2022-03-31 | Albany | New York | 36001 | 58835 | 509 |
2361427 | 2361427 | 2022-03-31 | Allegany | New York | 36003 | 8914 | 154 |
2361428 | 2361428 | 2022-03-31 | Broome | New York | 36007 | 45053 | 511 |
2361429 | 2361429 | 2022-03-31 | Cattaraugus | New York | 36009 | 15394 | 220 |
2361430 | 2361430 | 2022-03-31 | Cayuga | New York | 36011 | 16188 | 145 |
2361431 | 2361431 | 2022-03-31 | Chautauqua | New York | 36013 | 23528 | 298 |
2361432 | 2361432 | 2022-03-31 | Chemung | New York | 36015 | 21263 | 230 |
2361433 | 2361433 | 2022-03-31 | Chenango | New York | 36017 | 9271 | 118 |
2361434 | 2361434 | 2022-03-31 | Clinton | New York | 36019 | 16700 | 86 |
2361435 | 2361435 | 2022-03-31 | Columbia | New York | 36021 | 10029 | 140 |
2361436 | 2361436 | 2022-03-31 | Cortland | New York | 36023 | 10569 | 116 |
2361437 | 2361437 | 2022-03-31 | Delaware | New York | 36025 | 7713 | 68 |
2361438 | 2361438 | 2022-03-31 | Dutchess | New York | 36027 | 63811 | 655 |
2361439 | 2361439 | 2022-03-31 | Erie | New York | 36029 | 208149 | 2608 |
2361440 | 2361440 | 2022-03-31 | Essex | New York | 36031 | 5650 | 57 |
2361441 | 2361441 | 2022-03-31 | Franklin | New York | 36033 | 9461 | 44 |
2361442 | 2361442 | 2022-03-31 | Fulton | New York | 36035 | 12561 | 167 |
2361443 | 2361443 | 2022-03-31 | Genesee | New York | 36037 | 13627 | 184 |
2361444 | 2361444 | 2022-03-31 | Greene | New York | 36039 | 8601 | 125 |
2361445 | 2361445 | 2022-03-31 | Hamilton | New York | 36041 | 871 | 5 |
2361446 | 2361446 | 2022-03-31 | Herkimer | New York | 36043 | 13761 | 189 |
2361447 | 2361447 | 2022-03-31 | Jefferson | New York | 36045 | 19995 | 135 |
2361448 | 2361448 | 2022-03-31 | Lewis | New York | 36049 | 6135 | 49 |
2361449 | 2361449 | 2022-03-31 | Livingston | New York | 36051 | 11584 | 115 |
2361450 | 2361450 | 2022-03-31 | Madison | New York | 36053 | 13094 | 125 |
2361451 | 2361451 | 2022-03-31 | Monroe | New York | 36055 | 151274 | 1550 |
2361452 | 2361452 | 2022-03-31 | Montgomery | New York | 36057 | 11868 | 203 |
2361453 | 2361453 | 2022-03-31 | Nassau | New York | 36059 | 402658 | 3822 |
2361454 | 2361454 | 2022-03-31 | New York City | New York | 2307640 | 40079 | |
2361455 | 2361455 | 2022-03-31 | Niagara | New York | 36063 | 47773 | 569 |
2361456 | 2361456 | 2022-03-31 | Oneida | New York | 36065 | 53137 | 781 |
2361457 | 2361457 | 2022-03-31 | Onondaga | New York | 36067 | 112251 | 1040 |
2361458 | 2361458 | 2022-03-31 | Ontario | New York | 36069 | 19862 | 175 |
2361459 | 2361459 | 2022-03-31 | Orange | New York | 36071 | 106392 | 945 |
2361460 | 2361460 | 2022-03-31 | Orleans | New York | 36073 | 8586 | 113 |
2361461 | 2361461 | 2022-03-31 | Oswego | New York | 36075 | 26028 | 184 |
2361462 | 2361462 | 2022-03-31 | Otsego | New York | 36077 | 9883 | 88 |
2361463 | 2361463 | 2022-03-31 | Putnam | New York | 36079 | 23568 | 121 |
2361464 | 2361464 | 2022-03-31 | Rensselaer | New York | 36083 | 31291 | 248 |
2361465 | 2361465 | 2022-03-31 | Rockland | New York | 36087 | 92126 | 891 |
2361466 | 2361466 | 2022-03-31 | Saratoga | New York | 36091 | 45959 | 325 |
2361467 | 2361467 | 2022-03-31 | Schenectady | New York | 36093 | 32846 | 297 |
2361468 | 2361468 | 2022-03-31 | Schoharie | New York | 36095 | 4984 | 35 |
2361469 | 2361469 | 2022-03-31 | Schuyler | New York | 36097 | 3454 | 25 |
2361470 | 2361470 | 2022-03-31 | Seneca | New York | 36099 | 5913 | 89 |
2361471 | 2361471 | 2022-03-31 | St. Lawrence | New York | 36089 | 21127 | 183 |
2361472 | 2361472 | 2022-03-31 | Steuben | New York | 36101 | 19851 | 247 |
2361473 | 2361473 | 2022-03-31 | Suffolk | New York | 36103 | 425814 | 4363 |
2361474 | 2361474 | 2022-03-31 | Sullivan | New York | 36105 | 18341 | 129 |
2361475 | 2361475 | 2022-03-31 | Tioga | New York | 36107 | 10694 | 82 |
2361476 | 2361476 | 2022-03-31 | Tompkins | New York | 36109 | 18601 | 84 |
2361477 | 2361477 | 2022-03-31 | Ulster | New York | 36111 | 31613 | 360 |
2361478 | 2361478 | 2022-03-31 | Warren | New York | 36113 | 13552 | 125 |
2361479 | 2361479 | 2022-03-31 | Washington | New York | 36115 | 12035 | 113 |
2361480 | 2361480 | 2022-03-31 | Wayne | New York | 36117 | 17155 | 171 |
2361481 | 2361481 | 2022-03-31 | Westchester | New York | 36119 | 250207 | 2702 |
2361482 | 2361482 | 2022-03-31 | Wyoming | New York | 36121 | 8266 | 82 |
2361483 | 2361483 | 2022-03-31 | Yates | New York | 36123 | 3369 | 39 |
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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);