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 2022-03-17 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 |
---|---|---|---|---|---|---|---|
2315880 | 2315880 | 2022-03-17 | Albany | New York | 36001 | 58381 | 507 |
2315881 | 2315881 | 2022-03-17 | Allegany | New York | 36003 | 8866 | 153 |
2315882 | 2315882 | 2022-03-17 | Broome | New York | 36007 | 44716 | 509 |
2315883 | 2315883 | 2022-03-17 | Cattaraugus | New York | 36009 | 15320 | 219 |
2315884 | 2315884 | 2022-03-17 | Cayuga | New York | 36011 | 15830 | 144 |
2315885 | 2315885 | 2022-03-17 | Chautauqua | New York | 36013 | 23434 | 295 |
2315886 | 2315886 | 2022-03-17 | Chemung | New York | 36015 | 21132 | 228 |
2315887 | 2315887 | 2022-03-17 | Chenango | New York | 36017 | 9207 | 118 |
2315888 | 2315888 | 2022-03-17 | Clinton | New York | 36019 | 16511 | 84 |
2315889 | 2315889 | 2022-03-17 | Columbia | New York | 36021 | 9959 | 140 |
2315890 | 2315890 | 2022-03-17 | Cortland | New York | 36023 | 10389 | 116 |
2315891 | 2315891 | 2022-03-17 | Delaware | New York | 36025 | 7614 | 68 |
2315892 | 2315892 | 2022-03-17 | Dutchess | New York | 36027 | 63499 | 653 |
2315893 | 2315893 | 2022-03-17 | Erie | New York | 36029 | 206859 | 2601 |
2315894 | 2315894 | 2022-03-17 | Essex | New York | 36031 | 5543 | 57 |
2315895 | 2315895 | 2022-03-17 | Franklin | New York | 36033 | 9284 | 44 |
2315896 | 2315896 | 2022-03-17 | Fulton | New York | 36035 | 12432 | 166 |
2315897 | 2315897 | 2022-03-17 | Genesee | New York | 36037 | 13578 | 184 |
2315898 | 2315898 | 2022-03-17 | Greene | New York | 36039 | 8501 | 123 |
2315899 | 2315899 | 2022-03-17 | Hamilton | New York | 36041 | 852 | 5 |
2315900 | 2315900 | 2022-03-17 | Herkimer | New York | 36043 | 13621 | 189 |
2315901 | 2315901 | 2022-03-17 | Jefferson | New York | 36045 | 19807 | 131 |
2315902 | 2315902 | 2022-03-17 | Lewis | New York | 36049 | 6118 | 48 |
2315903 | 2315903 | 2022-03-17 | Livingston | New York | 36051 | 11537 | 113 |
2315904 | 2315904 | 2022-03-17 | Madison | New York | 36053 | 12845 | 125 |
2315905 | 2315905 | 2022-03-17 | Monroe | New York | 36055 | 150059 | 1544 |
2315906 | 2315906 | 2022-03-17 | Montgomery | New York | 36057 | 11757 | 202 |
2315907 | 2315907 | 2022-03-17 | Nassau | New York | 36059 | 400107 | 3819 |
2315908 | 2315908 | 2022-03-17 | New York City | New York | 2290645 | 40012 | |
2315909 | 2315909 | 2022-03-17 | Niagara | New York | 36063 | 47473 | 568 |
2315910 | 2315910 | 2022-03-17 | Oneida | New York | 36065 | 52568 | 781 |
2315911 | 2315911 | 2022-03-17 | Onondaga | New York | 36067 | 109088 | 1038 |
2315912 | 2315912 | 2022-03-17 | Ontario | New York | 36069 | 19662 | 173 |
2315913 | 2315913 | 2022-03-17 | Orange | New York | 36071 | 105830 | 944 |
2315914 | 2315914 | 2022-03-17 | Orleans | New York | 36073 | 8550 | 113 |
2315915 | 2315915 | 2022-03-17 | Oswego | New York | 36075 | 25380 | 183 |
2315916 | 2315916 | 2022-03-17 | Otsego | New York | 36077 | 9748 | 88 |
2315917 | 2315917 | 2022-03-17 | Putnam | New York | 36079 | 23413 | 121 |
2315918 | 2315918 | 2022-03-17 | Rensselaer | New York | 36083 | 31072 | 247 |
2315919 | 2315919 | 2022-03-17 | Rockland | New York | 36087 | 91600 | 891 |
2315920 | 2315920 | 2022-03-17 | Saratoga | New York | 36091 | 45580 | 323 |
2315921 | 2315921 | 2022-03-17 | Schenectady | New York | 36093 | 32564 | 297 |
2315922 | 2315922 | 2022-03-17 | Schoharie | New York | 36095 | 4945 | 34 |
2315923 | 2315923 | 2022-03-17 | Schuyler | New York | 36097 | 3405 | 25 |
2315924 | 2315924 | 2022-03-17 | Seneca | New York | 36099 | 5824 | 89 |
2315925 | 2315925 | 2022-03-17 | St. Lawrence | New York | 36089 | 20835 | 181 |
2315926 | 2315926 | 2022-03-17 | Steuben | New York | 36101 | 19699 | 247 |
2315927 | 2315927 | 2022-03-17 | Suffolk | New York | 36103 | 424109 | 4355 |
2315928 | 2315928 | 2022-03-17 | Sullivan | New York | 36105 | 18272 | 129 |
2315929 | 2315929 | 2022-03-17 | Tioga | New York | 36107 | 10590 | 82 |
2315930 | 2315930 | 2022-03-17 | Tompkins | New York | 36109 | 17853 | 82 |
2315931 | 2315931 | 2022-03-17 | Ulster | New York | 36111 | 31098 | 360 |
2315932 | 2315932 | 2022-03-17 | Warren | New York | 36113 | 13407 | 123 |
2315933 | 2315933 | 2022-03-17 | Washington | New York | 36115 | 11949 | 113 |
2315934 | 2315934 | 2022-03-17 | Wayne | New York | 36117 | 17032 | 170 |
2315935 | 2315935 | 2022-03-17 | Westchester | New York | 36119 | 248222 | 2697 |
2315936 | 2315936 | 2022-03-17 | Wyoming | New York | 36121 | 8248 | 82 |
2315937 | 2315937 | 2022-03-17 | Yates | New York | 36123 | 3336 | 39 |
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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);