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 2020-05-18 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 |
---|---|---|---|---|---|---|---|
155938 | 155938 | 2020-05-18 | Albany | New York | 36001 | 1610 | 129 |
155939 | 155939 | 2020-05-18 | Allegany | New York | 36003 | 44 | 0 |
155940 | 155940 | 2020-05-18 | Broome | New York | 36007 | 423 | 34 |
155941 | 155941 | 2020-05-18 | Cattaraugus | New York | 36009 | 67 | 1 |
155942 | 155942 | 2020-05-18 | Cayuga | New York | 36011 | 65 | 1 |
155943 | 155943 | 2020-05-18 | Chautauqua | New York | 36013 | 49 | 3 |
155944 | 155944 | 2020-05-18 | Chemung | New York | 36015 | 134 | 5 |
155945 | 155945 | 2020-05-18 | Chenango | New York | 36017 | 118 | 2 |
155946 | 155946 | 2020-05-18 | Clinton | New York | 36019 | 94 | 4 |
155947 | 155947 | 2020-05-18 | Columbia | New York | 36021 | 346 | 31 |
155948 | 155948 | 2020-05-18 | Cortland | New York | 36023 | 35 | 0 |
155949 | 155949 | 2020-05-18 | Delaware | New York | 36025 | 69 | 0 |
155950 | 155950 | 2020-05-18 | Dutchess | New York | 36027 | 3552 | 129 |
155951 | 155951 | 2020-05-18 | Erie | New York | 36029 | 4993 | 444 |
155952 | 155952 | 2020-05-18 | Essex | New York | 36031 | 41 | 0 |
155953 | 155953 | 2020-05-18 | Franklin | New York | 36033 | 18 | 0 |
155954 | 155954 | 2020-05-18 | Fulton | New York | 36035 | 182 | 11 |
155955 | 155955 | 2020-05-18 | Genesee | New York | 36037 | 180 | 3 |
155956 | 155956 | 2020-05-18 | Greene | New York | 36039 | 213 | 3 |
155957 | 155957 | 2020-05-18 | Hamilton | New York | 36041 | 5 | 0 |
155958 | 155958 | 2020-05-18 | Herkimer | New York | 36043 | 92 | 1 |
155959 | 155959 | 2020-05-18 | Jefferson | New York | 36045 | 71 | 0 |
155960 | 155960 | 2020-05-18 | Lewis | New York | 36049 | 17 | 0 |
155961 | 155961 | 2020-05-18 | Livingston | New York | 36051 | 110 | 4 |
155962 | 155962 | 2020-05-18 | Madison | New York | 36053 | 258 | 3 |
155963 | 155963 | 2020-05-18 | Monroe | New York | 36055 | 2304 | 170 |
155964 | 155964 | 2020-05-18 | Montgomery | New York | 36057 | 75 | 3 |
155965 | 155965 | 2020-05-18 | Nassau | New York | 36059 | 39225 | 2530 |
155966 | 155966 | 2020-05-18 | New York City | New York | 198114 | 20298 | |
155967 | 155967 | 2020-05-18 | Niagara | New York | 36063 | 818 | 39 |
155968 | 155968 | 2020-05-18 | Oneida | New York | 36065 | 772 | 38 |
155969 | 155969 | 2020-05-18 | Onondaga | New York | 36067 | 1520 | 97 |
155970 | 155970 | 2020-05-18 | Ontario | New York | 36069 | 148 | 7 |
155971 | 155971 | 2020-05-18 | Orange | New York | 36071 | 9980 | 350 |
155972 | 155972 | 2020-05-18 | Orleans | New York | 36073 | 167 | 18 |
155973 | 155973 | 2020-05-18 | Oswego | New York | 36075 | 84 | 0 |
155974 | 155974 | 2020-05-18 | Otsego | New York | 36077 | 67 | 5 |
155975 | 155975 | 2020-05-18 | Putnam | New York | 36079 | 1141 | 59 |
155976 | 155976 | 2020-05-18 | Rensselaer | New York | 36083 | 444 | 32 |
155977 | 155977 | 2020-05-18 | Rockland | New York | 36087 | 12777 | 442 |
155978 | 155978 | 2020-05-18 | Saratoga | New York | 36091 | 434 | 4 |
155979 | 155979 | 2020-05-18 | Schenectady | New York | 36093 | 629 | 27 |
155980 | 155980 | 2020-05-18 | Schoharie | New York | 36095 | 48 | 0 |
155981 | 155981 | 2020-05-18 | Schuyler | New York | 36097 | 10 | 0 |
155982 | 155982 | 2020-05-18 | Seneca | New York | 36099 | 51 | 0 |
155983 | 155983 | 2020-05-18 | St. Lawrence | New York | 36089 | 192 | 2 |
155984 | 155984 | 2020-05-18 | Steuben | New York | 36101 | 235 | 18 |
155985 | 155985 | 2020-05-18 | Suffolk | New York | 36103 | 38224 | 1804 |
155986 | 155986 | 2020-05-18 | Sullivan | New York | 36105 | 1246 | 24 |
155987 | 155987 | 2020-05-18 | Tioga | New York | 36107 | 113 | 16 |
155988 | 155988 | 2020-05-18 | Tompkins | New York | 36109 | 141 | 2 |
155989 | 155989 | 2020-05-18 | Ulster | New York | 36111 | 1557 | 43 |
155990 | 155990 | 2020-05-18 | Warren | New York | 36113 | 234 | 27 |
155991 | 155991 | 2020-05-18 | Washington | New York | 36115 | 219 | 11 |
155992 | 155992 | 2020-05-18 | Wayne | New York | 36117 | 97 | 1 |
155993 | 155993 | 2020-05-18 | Westchester | New York | 36119 | 32322 | 1419 |
155994 | 155994 | 2020-05-18 | Wyoming | New York | 36121 | 79 | 3 |
155995 | 155995 | 2020-05-18 | Yates | New York | 36123 | 25 | 5 |
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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);