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 2021-01-31 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 |
---|---|---|---|---|---|---|---|
983945 | 983945 | 2021-01-31 | Albany | New York | 36001 | 18701 | 291 |
983946 | 983946 | 2021-01-31 | Allegany | New York | 36003 | 2578 | 78 |
983947 | 983947 | 2021-01-31 | Broome | New York | 36007 | 12748 | 292 |
983948 | 983948 | 2021-01-31 | Cattaraugus | New York | 36009 | 3797 | 67 |
983949 | 983949 | 2021-01-31 | Cayuga | New York | 36011 | 4903 | 82 |
983950 | 983950 | 2021-01-31 | Chautauqua | New York | 36013 | 6481 | 97 |
983951 | 983951 | 2021-01-31 | Chemung | New York | 36015 | 6041 | 116 |
983952 | 983952 | 2021-01-31 | Chenango | New York | 36017 | 2110 | 55 |
983953 | 983953 | 2021-01-31 | Clinton | New York | 36019 | 2720 | 20 |
983954 | 983954 | 2021-01-31 | Columbia | New York | 36021 | 2971 | 83 |
983955 | 983955 | 2021-01-31 | Cortland | New York | 36023 | 2846 | 57 |
983956 | 983956 | 2021-01-31 | Delaware | New York | 36025 | 1217 | 29 |
983957 | 983957 | 2021-01-31 | Dutchess | New York | 36027 | 19123 | 357 |
983958 | 983958 | 2021-01-31 | Erie | New York | 36029 | 57406 | 1461 |
983959 | 983959 | 2021-01-31 | Essex | New York | 36031 | 1119 | 22 |
983960 | 983960 | 2021-01-31 | Franklin | New York | 36033 | 1539 | 9 |
983961 | 983961 | 2021-01-31 | Fulton | New York | 36035 | 2593 | 64 |
983962 | 983962 | 2021-01-31 | Genesee | New York | 36037 | 4027 | 107 |
983963 | 983963 | 2021-01-31 | Greene | New York | 36039 | 2356 | 67 |
983964 | 983964 | 2021-01-31 | Hamilton | New York | 36041 | 214 | 1 |
983965 | 983965 | 2021-01-31 | Herkimer | New York | 36043 | 4203 | 90 |
983966 | 983966 | 2021-01-31 | Jefferson | New York | 36045 | 3960 | 45 |
983967 | 983967 | 2021-01-31 | Lewis | New York | 36049 | 1755 | 25 |
983968 | 983968 | 2021-01-31 | Livingston | New York | 36051 | 3020 | 46 |
983969 | 983969 | 2021-01-31 | Madison | New York | 36053 | 3484 | 79 |
983970 | 983970 | 2021-01-31 | Monroe | New York | 36055 | 47997 | 873 |
983971 | 983971 | 2021-01-31 | Montgomery | New York | 36057 | 2674 | 83 |
983972 | 983972 | 2021-01-31 | Nassau | New York | 36059 | 128735 | 2677 |
983973 | 983973 | 2021-01-31 | New York City | New York | 608862 | 27138 | |
983974 | 983974 | 2021-01-31 | Niagara | New York | 36063 | 13690 | 276 |
983975 | 983975 | 2021-01-31 | Oneida | New York | 36065 | 18354 | 405 |
983976 | 983976 | 2021-01-31 | Onondaga | New York | 36067 | 30054 | 572 |
983977 | 983977 | 2021-01-31 | Ontario | New York | 36069 | 5181 | 87 |
983978 | 983978 | 2021-01-31 | Orange | New York | 36071 | 32254 | 587 |
983979 | 983979 | 2021-01-31 | Orleans | New York | 36073 | 2173 | 78 |
983980 | 983980 | 2021-01-31 | Oswego | New York | 36075 | 5444 | 83 |
983981 | 983981 | 2021-01-31 | Otsego | New York | 36077 | 1999 | 29 |
983982 | 983982 | 2021-01-31 | Putnam | New York | 36079 | 7338 | 81 |
983983 | 983983 | 2021-01-31 | Rensselaer | New York | 36083 | 7960 | 116 |
983984 | 983984 | 2021-01-31 | Rockland | New York | 36087 | 34589 | 651 |
983985 | 983985 | 2021-01-31 | Saratoga | New York | 36091 | 10548 | 120 |
983986 | 983986 | 2021-01-31 | Schenectady | New York | 36093 | 9764 | 150 |
983987 | 983987 | 2021-01-31 | Schoharie | New York | 36095 | 1029 | 8 |
983988 | 983988 | 2021-01-31 | Schuyler | New York | 36097 | 800 | 10 |
983989 | 983989 | 2021-01-31 | Seneca | New York | 36099 | 1396 | 49 |
983990 | 983990 | 2021-01-31 | St. Lawrence | New York | 36089 | 4403 | 67 |
983991 | 983991 | 2021-01-31 | Steuben | New York | 36101 | 5025 | 136 |
983992 | 983992 | 2021-01-31 | Suffolk | New York | 36103 | 143498 | 2794 |
983993 | 983993 | 2021-01-31 | Sullivan | New York | 36105 | 4205 | 55 |
983994 | 983994 | 2021-01-31 | Tioga | New York | 36107 | 2473 | 55 |
983995 | 983995 | 2021-01-31 | Tompkins | New York | 36109 | 2987 | 31 |
983996 | 983996 | 2021-01-31 | Ulster | New York | 36111 | 8778 | 210 |
983997 | 983997 | 2021-01-31 | Warren | New York | 36113 | 2452 | 47 |
983998 | 983998 | 2021-01-31 | Washington | New York | 36115 | 1854 | 37 |
983999 | 983999 | 2021-01-31 | Wayne | New York | 36117 | 4101 | 58 |
984000 | 984000 | 2021-01-31 | Westchester | New York | 36119 | 94213 | 1906 |
984001 | 984001 | 2021-01-31 | Wyoming | New York | 36121 | 2479 | 45 |
984002 | 984002 | 2021-01-31 | Yates | New York | 36123 | 943 | 24 |
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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);