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 2022-01-19 and state = "New York" sorted by date descending
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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 |
---|---|---|---|---|---|---|---|
2130491 | 2130491 | 2022-01-19 | Albany | New York | 36001 | 52444 | 467 |
2130492 | 2130492 | 2022-01-19 | Allegany | New York | 36003 | 7843 | 140 |
2130493 | 2130493 | 2022-01-19 | Broome | New York | 36007 | 40141 | 484 |
2130494 | 2130494 | 2022-01-19 | Cattaraugus | New York | 36009 | 13445 | 199 |
2130495 | 2130495 | 2022-01-19 | Cayuga | New York | 36011 | 14029 | 127 |
2130496 | 2130496 | 2022-01-19 | Chautauqua | New York | 36013 | 21031 | 242 |
2130497 | 2130497 | 2022-01-19 | Chemung | New York | 36015 | 18856 | 207 |
2130498 | 2130498 | 2022-01-19 | Chenango | New York | 36017 | 7994 | 106 |
2130499 | 2130499 | 2022-01-19 | Clinton | New York | 36019 | 13227 | 66 |
2130500 | 2130500 | 2022-01-19 | Columbia | New York | 36021 | 8772 | 129 |
2130501 | 2130501 | 2022-01-19 | Cortland | New York | 36023 | 9052 | 95 |
2130502 | 2130502 | 2022-01-19 | Delaware | New York | 36025 | 6712 | 62 |
2130503 | 2130503 | 2022-01-19 | Dutchess | New York | 36027 | 58736 | 579 |
2130504 | 2130504 | 2022-01-19 | Erie | New York | 36029 | 189318 | 2361 |
2130505 | 2130505 | 2022-01-19 | Essex | New York | 36031 | 4677 | 52 |
2130506 | 2130506 | 2022-01-19 | Franklin | New York | 36033 | 7773 | 37 |
2130507 | 2130507 | 2022-01-19 | Fulton | New York | 36035 | 10771 | 141 |
2130508 | 2130508 | 2022-01-19 | Genesee | New York | 36037 | 12338 | 170 |
2130509 | 2130509 | 2022-01-19 | Greene | New York | 36039 | 7609 | 107 |
2130510 | 2130510 | 2022-01-19 | Hamilton | New York | 36041 | 752 | 4 |
2130511 | 2130511 | 2022-01-19 | Herkimer | New York | 36043 | 12140 | 170 |
2130512 | 2130512 | 2022-01-19 | Jefferson | New York | 36045 | 16766 | 120 |
2130513 | 2130513 | 2022-01-19 | Lewis | New York | 36049 | 5538 | 45 |
2130514 | 2130514 | 2022-01-19 | Livingston | New York | 36051 | 10227 | 99 |
2130515 | 2130515 | 2022-01-19 | Madison | New York | 36053 | 11092 | 120 |
2130516 | 2130516 | 2022-01-19 | Monroe | New York | 36055 | 138582 | 1412 |
2130517 | 2130517 | 2022-01-19 | Montgomery | New York | 36057 | 10307 | 182 |
2130518 | 2130518 | 2022-01-19 | Nassau | New York | 36059 | 379090 | 3591 |
2130519 | 2130519 | 2022-01-19 | New York City | New York | 2145910 | 37122 | |
2130520 | 2130520 | 2022-01-19 | Niagara | New York | 36063 | 43351 | 504 |
2130521 | 2130521 | 2022-01-19 | Oneida | New York | 36065 | 47078 | 723 |
2130522 | 2130522 | 2022-01-19 | Onondaga | New York | 36067 | 94516 | 931 |
2130523 | 2130523 | 2022-01-19 | Ontario | New York | 36069 | 17284 | 159 |
2130524 | 2130524 | 2022-01-19 | Orange | New York | 36071 | 98800 | 887 |
2130525 | 2130525 | 2022-01-19 | Orleans | New York | 36073 | 7758 | 105 |
2130526 | 2130526 | 2022-01-19 | Oswego | New York | 36075 | 21509 | 157 |
2130527 | 2130527 | 2022-01-19 | Otsego | New York | 36077 | 8395 | 75 |
2130528 | 2130528 | 2022-01-19 | Putnam | New York | 36079 | 21931 | 113 |
2130529 | 2130529 | 2022-01-19 | Rensselaer | New York | 36083 | 27378 | 228 |
2130530 | 2130530 | 2022-01-19 | Rockland | New York | 36087 | 86822 | 848 |
2130531 | 2130531 | 2022-01-19 | Saratoga | New York | 36091 | 40217 | 291 |
2130532 | 2130532 | 2022-01-19 | Schenectady | New York | 36093 | 29044 | 279 |
2130533 | 2130533 | 2022-01-19 | Schoharie | New York | 36095 | 4269 | 32 |
2130534 | 2130534 | 2022-01-19 | Schuyler | New York | 36097 | 2985 | 23 |
2130535 | 2130535 | 2022-01-19 | Seneca | New York | 36099 | 4948 | 86 |
2130536 | 2130536 | 2022-01-19 | St. Lawrence | New York | 36089 | 17695 | 164 |
2130537 | 2130537 | 2022-01-19 | Steuben | New York | 36101 | 17169 | 225 |
2130538 | 2130538 | 2022-01-19 | Suffolk | New York | 36103 | 402658 | 4062 |
2130539 | 2130539 | 2022-01-19 | Sullivan | New York | 36105 | 16603 | 110 |
2130540 | 2130540 | 2022-01-19 | Tioga | New York | 36107 | 9294 | 79 |
2130541 | 2130541 | 2022-01-19 | Tompkins | New York | 36109 | 14923 | 75 |
2130542 | 2130542 | 2022-01-19 | Ulster | New York | 36111 | 27979 | 326 |
2130543 | 2130543 | 2022-01-19 | Warren | New York | 36113 | 11727 | 114 |
2130544 | 2130544 | 2022-01-19 | Washington | New York | 36115 | 10446 | 101 |
2130545 | 2130545 | 2022-01-19 | Wayne | New York | 36117 | 14928 | 145 |
2130546 | 2130546 | 2022-01-19 | Westchester | New York | 36119 | 234788 | 2528 |
2130547 | 2130547 | 2022-01-19 | Wyoming | New York | 36121 | 7509 | 75 |
2130548 | 2130548 | 2022-01-19 | Yates | New York | 36123 | 2884 | 36 |
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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);