ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
45,692 rows where state = "New York" sorted by date descending
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fips >30
county >30
- New York City 230
- Westchester 227
- Nassau 226
- Rockland 225
- Saratoga 224
- Suffolk 223
- Ulster 223
- Monroe 220
- Albany 219
- Delaware 219
- Dutchess 219
- Herkimer 219
- Orange 219
- Schenectady 218
- Broome 217
- Tioga 217
- Tompkins 217
- Erie 216
- Greene 216
- Montgomery 216
- Putnam 216
- Allegany 215
- Onondaga 215
- Ontario 215
- Clinton 214
- Rensselaer 214
- Sullivan 214
- Wyoming 214
- Chenango 213
- Essex 213
- …
state 1
- New York · 12,400 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
636730 | 636730 | 2020-10-16 | Albany | New York | 36001 | 3383 | 124 |
636731 | 636731 | 2020-10-16 | Allegany | New York | 36003 | 188 | 6 |
636732 | 636732 | 2020-10-16 | Broome | New York | 36007 | 2784 | 87 |
636733 | 636733 | 2020-10-16 | Cattaraugus | New York | 36009 | 393 | 14 |
636734 | 636734 | 2020-10-16 | Cayuga | New York | 36011 | 275 | 3 |
636735 | 636735 | 2020-10-16 | Chautauqua | New York | 36013 | 771 | 4 |
636736 | 636736 | 2020-10-16 | Chemung | New York | 36015 | 1156 | 8 |
636737 | 636737 | 2020-10-16 | Chenango | New York | 36017 | 294 | 6 |
636738 | 636738 | 2020-10-16 | Clinton | New York | 36019 | 190 | 5 |
636739 | 636739 | 2020-10-16 | Columbia | New York | 36021 | 635 | 48 |
636740 | 636740 | 2020-10-16 | Cortland | New York | 36023 | 387 | 1 |
636741 | 636741 | 2020-10-16 | Delaware | New York | 36025 | 157 | 5 |
636742 | 636742 | 2020-10-16 | Dutchess | New York | 36027 | 5305 | 163 |
636743 | 636743 | 2020-10-16 | Erie | New York | 36029 | 12324 | 640 |
636744 | 636744 | 2020-10-16 | Essex | New York | 36031 | 192 | 14 |
636745 | 636745 | 2020-10-16 | Franklin | New York | 36033 | 75 | 1 |
636746 | 636746 | 2020-10-16 | Fulton | New York | 36035 | 357 | 28 |
636747 | 636747 | 2020-10-16 | Genesee | New York | 36037 | 371 | 6 |
636748 | 636748 | 2020-10-16 | Greene | New York | 36039 | 464 | 15 |
636749 | 636749 | 2020-10-16 | Hamilton | New York | 36041 | 16 | 1 |
636750 | 636750 | 2020-10-16 | Herkimer | New York | 36043 | 367 | 10 |
636751 | 636751 | 2020-10-16 | Jefferson | New York | 36045 | 186 | 1 |
636752 | 636752 | 2020-10-16 | Lewis | New York | 36049 | 55 | 5 |
636753 | 636753 | 2020-10-16 | Livingston | New York | 36051 | 234 | 6 |
636754 | 636754 | 2020-10-16 | Madison | New York | 36053 | 528 | 9 |
636755 | 636755 | 2020-10-16 | Monroe | New York | 36055 | 6629 | 260 |
636756 | 636756 | 2020-10-16 | Montgomery | New York | 36057 | 252 | 9 |
636757 | 636757 | 2020-10-16 | Nassau | New York | 36059 | 48377 | 2208 |
636758 | 636758 | 2020-10-16 | New York City | New York | 257642 | 23915 | |
636759 | 636759 | 2020-10-16 | Niagara | New York | 36063 | 1938 | 90 |
636760 | 636760 | 2020-10-16 | Oneida | New York | 36065 | 2574 | 126 |
636761 | 636761 | 2020-10-16 | Onondaga | New York | 36067 | 4946 | 182 |
636762 | 636762 | 2020-10-16 | Ontario | New York | 36069 | 549 | 28 |
636763 | 636763 | 2020-10-16 | Orange | New York | 36071 | 13113 | 416 |
636764 | 636764 | 2020-10-16 | Orleans | New York | 36073 | 359 | 55 |
636765 | 636765 | 2020-10-16 | Oswego | New York | 36075 | 579 | 3 |
636766 | 636766 | 2020-10-16 | Otsego | New York | 36077 | 362 | 4 |
636767 | 636767 | 2020-10-16 | Putnam | New York | 36079 | 1716 | 63 |
636768 | 636768 | 2020-10-16 | Rensselaer | New York | 36083 | 1020 | 42 |
636769 | 636769 | 2020-10-16 | Rockland | New York | 36087 | 17063 | 509 |
636770 | 636770 | 2020-10-16 | Saratoga | New York | 36091 | 1190 | 15 |
636771 | 636771 | 2020-10-16 | Schenectady | New York | 36093 | 1485 | 48 |
636772 | 636772 | 2020-10-16 | Schoharie | New York | 36095 | 100 | 2 |
636773 | 636773 | 2020-10-16 | Schuyler | New York | 36097 | 85 | 0 |
636774 | 636774 | 2020-10-16 | Seneca | New York | 36099 | 125 | 2 |
636775 | 636775 | 2020-10-16 | St. Lawrence | New York | 36089 | 353 | 4 |
636776 | 636776 | 2020-10-16 | Steuben | New York | 36101 | 817 | 67 |
636777 | 636777 | 2020-10-16 | Suffolk | New York | 36103 | 47815 | 2017 |
636778 | 636778 | 2020-10-16 | Sullivan | New York | 36105 | 1668 | 37 |
636779 | 636779 | 2020-10-16 | Tioga | New York | 36107 | 413 | 25 |
636780 | 636780 | 2020-10-16 | Tompkins | New York | 36109 | 523 | 0 |
636781 | 636781 | 2020-10-16 | Ulster | New York | 36111 | 2395 | 84 |
636782 | 636782 | 2020-10-16 | Warren | New York | 36113 | 437 | 30 |
636783 | 636783 | 2020-10-16 | Washington | New York | 36115 | 325 | 14 |
636784 | 636784 | 2020-10-16 | Wayne | New York | 36117 | 373 | 3 |
636785 | 636785 | 2020-10-16 | Westchester | New York | 36119 | 39287 | 1465 |
636786 | 636786 | 2020-10-16 | Wyoming | New York | 36121 | 160 | 5 |
636787 | 636787 | 2020-10-16 | Yates | New York | 36123 | 81 | 6 |
633484 | 633484 | 2020-10-15 | Albany | New York | 36001 | 3369 | 124 |
633485 | 633485 | 2020-10-15 | Allegany | New York | 36003 | 176 | 5 |
633486 | 633486 | 2020-10-15 | Broome | New York | 36007 | 2703 | 87 |
633487 | 633487 | 2020-10-15 | Cattaraugus | New York | 36009 | 383 | 14 |
633488 | 633488 | 2020-10-15 | Cayuga | New York | 36011 | 269 | 3 |
633489 | 633489 | 2020-10-15 | Chautauqua | New York | 36013 | 758 | 4 |
633490 | 633490 | 2020-10-15 | Chemung | New York | 36015 | 1104 | 7 |
633491 | 633491 | 2020-10-15 | Chenango | New York | 36017 | 291 | 6 |
633492 | 633492 | 2020-10-15 | Clinton | New York | 36019 | 187 | 5 |
633493 | 633493 | 2020-10-15 | Columbia | New York | 36021 | 634 | 47 |
633494 | 633494 | 2020-10-15 | Cortland | New York | 36023 | 371 | 1 |
633495 | 633495 | 2020-10-15 | Delaware | New York | 36025 | 156 | 5 |
633496 | 633496 | 2020-10-15 | Dutchess | New York | 36027 | 5289 | 163 |
633497 | 633497 | 2020-10-15 | Erie | New York | 36029 | 12269 | 640 |
633498 | 633498 | 2020-10-15 | Essex | New York | 36031 | 190 | 14 |
633499 | 633499 | 2020-10-15 | Franklin | New York | 36033 | 75 | 1 |
633500 | 633500 | 2020-10-15 | Fulton | New York | 36035 | 357 | 28 |
633501 | 633501 | 2020-10-15 | Genesee | New York | 36037 | 370 | 6 |
633502 | 633502 | 2020-10-15 | Greene | New York | 36039 | 454 | 15 |
633503 | 633503 | 2020-10-15 | Hamilton | New York | 36041 | 16 | 1 |
633504 | 633504 | 2020-10-15 | Herkimer | New York | 36043 | 367 | 10 |
633505 | 633505 | 2020-10-15 | Jefferson | New York | 36045 | 186 | 1 |
633506 | 633506 | 2020-10-15 | Lewis | New York | 36049 | 55 | 5 |
633507 | 633507 | 2020-10-15 | Livingston | New York | 36051 | 232 | 6 |
633508 | 633508 | 2020-10-15 | Madison | New York | 36053 | 521 | 9 |
633509 | 633509 | 2020-10-15 | Monroe | New York | 36055 | 6573 | 260 |
633510 | 633510 | 2020-10-15 | Montgomery | New York | 36057 | 250 | 9 |
633511 | 633511 | 2020-10-15 | Nassau | New York | 36059 | 48272 | 2205 |
633512 | 633512 | 2020-10-15 | New York City | New York | 256986 | 23915 | |
633513 | 633513 | 2020-10-15 | Niagara | New York | 36063 | 1928 | 90 |
633514 | 633514 | 2020-10-15 | Oneida | New York | 36065 | 2567 | 126 |
633515 | 633515 | 2020-10-15 | Onondaga | New York | 36067 | 4908 | 182 |
633516 | 633516 | 2020-10-15 | Ontario | New York | 36069 | 537 | 28 |
633517 | 633517 | 2020-10-15 | Orange | New York | 36071 | 13048 | 416 |
633518 | 633518 | 2020-10-15 | Orleans | New York | 36073 | 356 | 55 |
633519 | 633519 | 2020-10-15 | Oswego | New York | 36075 | 568 | 3 |
633520 | 633520 | 2020-10-15 | Otsego | New York | 36077 | 362 | 4 |
633521 | 633521 | 2020-10-15 | Putnam | New York | 36079 | 1710 | 63 |
633522 | 633522 | 2020-10-15 | Rensselaer | New York | 36083 | 1007 | 42 |
633523 | 633523 | 2020-10-15 | Rockland | New York | 36087 | 16972 | 509 |
633524 | 633524 | 2020-10-15 | Saratoga | New York | 36091 | 1182 | 15 |
633525 | 633525 | 2020-10-15 | Schenectady | New York | 36093 | 1477 | 48 |
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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);