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 2021-04-06 and state = "New York" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|
1194955 | 1194955 | 2021-04-06 | Albany | New York | 36001 | 22965 | 340 |
1194956 | 1194956 | 2021-04-06 | Allegany | New York | 36003 | 3076 | 82 |
1194957 | 1194957 | 2021-04-06 | Broome | New York | 36007 | 16842 | 346 |
1194958 | 1194958 | 2021-04-06 | Cattaraugus | New York | 36009 | 4903 | 79 |
1194959 | 1194959 | 2021-04-06 | Cayuga | New York | 36011 | 5681 | 90 |
1194960 | 1194960 | 2021-04-06 | Chautauqua | New York | 36013 | 8059 | 131 |
1194961 | 1194961 | 2021-04-06 | Chemung | New York | 36015 | 6924 | 131 |
1194962 | 1194962 | 2021-04-06 | Chenango | New York | 36017 | 2900 | 72 |
1194963 | 1194963 | 2021-04-06 | Clinton | New York | 36019 | 4319 | 31 |
1194964 | 1194964 | 2021-04-06 | Columbia | New York | 36021 | 3737 | 99 |
1194965 | 1194965 | 2021-04-06 | Cortland | New York | 36023 | 3453 | 60 |
1194966 | 1194966 | 2021-04-06 | Delaware | New York | 36025 | 2028 | 34 |
1194967 | 1194967 | 2021-04-06 | Dutchess | New York | 36027 | 26776 | 426 |
1194968 | 1194968 | 2021-04-06 | Erie | New York | 36029 | 76665 | 1666 |
1194969 | 1194969 | 2021-04-06 | Essex | New York | 36031 | 1474 | 26 |
1194970 | 1194970 | 2021-04-06 | Franklin | New York | 36033 | 2341 | 12 |
1194971 | 1194971 | 2021-04-06 | Fulton | New York | 36035 | 3860 | 85 |
1194972 | 1194972 | 2021-04-06 | Genesee | New York | 36037 | 4878 | 121 |
1194973 | 1194973 | 2021-04-06 | Greene | New York | 36039 | 3016 | 73 |
1194974 | 1194974 | 2021-04-06 | Hamilton | New York | 36041 | 294 | 2 |
1194975 | 1194975 | 2021-04-06 | Herkimer | New York | 36043 | 4814 | 107 |
1194976 | 1194976 | 2021-04-06 | Jefferson | New York | 36045 | 5289 | 63 |
1194977 | 1194977 | 2021-04-06 | Lewis | New York | 36049 | 2365 | 33 |
1194978 | 1194978 | 2021-04-06 | Livingston | New York | 36051 | 3856 | 58 |
1194979 | 1194979 | 2021-04-06 | Madison | New York | 36053 | 4161 | 85 |
1194980 | 1194980 | 2021-04-06 | Monroe | New York | 36055 | 57912 | 1023 |
1194981 | 1194981 | 2021-04-06 | Montgomery | New York | 36057 | 3699 | 114 |
1194982 | 1194982 | 2021-04-06 | Nassau | New York | 36059 | 171185 | 3069 |
1194983 | 1194983 | 2021-04-06 | New York City | New York | 867989 | 31531 | |
1194984 | 1194984 | 2021-04-06 | Niagara | New York | 36063 | 17076 | 331 |
1194985 | 1194985 | 2021-04-06 | Oneida | New York | 36065 | 20983 | 495 |
1194986 | 1194986 | 2021-04-06 | Onondaga | New York | 36067 | 34773 | 657 |
1194987 | 1194987 | 2021-04-06 | Ontario | New York | 36069 | 6490 | 91 |
1194988 | 1194988 | 2021-04-06 | Orange | New York | 36071 | 44385 | 683 |
1194989 | 1194989 | 2021-04-06 | Orleans | New York | 36073 | 2641 | 83 |
1194990 | 1194990 | 2021-04-06 | Oswego | New York | 36075 | 6728 | 90 |
1194991 | 1194991 | 2021-04-06 | Otsego | New York | 36077 | 3007 | 46 |
1194992 | 1194992 | 2021-04-06 | Putnam | New York | 36079 | 9786 | 90 |
1194993 | 1194993 | 2021-04-06 | Rensselaer | New York | 36083 | 10248 | 135 |
1194994 | 1194994 | 2021-04-06 | Rockland | New York | 36087 | 44384 | 725 |
1194995 | 1194995 | 2021-04-06 | Saratoga | New York | 36091 | 13752 | 157 |
1194996 | 1194996 | 2021-04-06 | Schenectady | New York | 36093 | 11998 | 189 |
1194997 | 1194997 | 2021-04-06 | Schoharie | New York | 36095 | 1453 | 15 |
1194998 | 1194998 | 2021-04-06 | Schuyler | New York | 36097 | 957 | 13 |
1194999 | 1194999 | 2021-04-06 | Seneca | New York | 36099 | 1811 | 56 |
1195000 | 1195000 | 2021-04-06 | St. Lawrence | New York | 36089 | 6008 | 94 |
1195001 | 1195001 | 2021-04-06 | Steuben | New York | 36101 | 6049 | 140 |
1195002 | 1195002 | 2021-04-06 | Suffolk | New York | 36103 | 186487 | 3277 |
1195003 | 1195003 | 2021-04-06 | Sullivan | New York | 36105 | 5733 | 67 |
1195004 | 1195004 | 2021-04-06 | Tioga | New York | 36107 | 3213 | 58 |
1195005 | 1195005 | 2021-04-06 | Tompkins | New York | 36109 | 3956 | 49 |
1195006 | 1195006 | 2021-04-06 | Ulster | New York | 36111 | 12378 | 239 |
1195007 | 1195007 | 2021-04-06 | Warren | New York | 36113 | 3251 | 55 |
1195008 | 1195008 | 2021-04-06 | Washington | New York | 36115 | 2739 | 55 |
1195009 | 1195009 | 2021-04-06 | Wayne | New York | 36117 | 4957 | 66 |
1195010 | 1195010 | 2021-04-06 | Westchester | New York | 36119 | 122065 | 2218 |
1195011 | 1195011 | 2021-04-06 | Wyoming | New York | 36121 | 3128 | 50 |
1195012 | 1195012 | 2021-04-06 | Yates | New York | 36123 | 1067 | 26 |
Advanced export
JSON shape: default, array, newline-delimited
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);