ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
1,510 rows where county = "Forest" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2176489 | 2176489 | 2022-02-02 | Forest | Pennsylvania | 42053 | 2147 | 34 |
2177372 | 2177372 | 2022-02-02 | Forest | Wisconsin | 55041 | 2565 | 47 |
2173235 | 2173235 | 2022-02-01 | Forest | Pennsylvania | 42053 | 2140 | 34 |
2174119 | 2174119 | 2022-02-01 | Forest | Wisconsin | 55041 | 2550 | 47 |
2169983 | 2169983 | 2022-01-31 | Forest | Pennsylvania | 42053 | 2137 | 34 |
2170867 | 2170867 | 2022-01-31 | Forest | Wisconsin | 55041 | 2539 | 47 |
2166729 | 2166729 | 2022-01-30 | Forest | Pennsylvania | 42053 | 2124 | 34 |
2167614 | 2167614 | 2022-01-30 | Forest | Wisconsin | 55041 | 2511 | 47 |
2163474 | 2163474 | 2022-01-29 | Forest | Pennsylvania | 42053 | 2111 | 34 |
2164359 | 2164359 | 2022-01-29 | Forest | Wisconsin | 55041 | 2511 | 47 |
2160219 | 2160219 | 2022-01-28 | Forest | Pennsylvania | 42053 | 2102 | 34 |
2161104 | 2161104 | 2022-01-28 | Forest | Wisconsin | 55041 | 2511 | 47 |
2156963 | 2156963 | 2022-01-27 | Forest | Pennsylvania | 42053 | 2084 | 34 |
2157848 | 2157848 | 2022-01-27 | Forest | Wisconsin | 55041 | 2488 | 47 |
2153710 | 2153710 | 2022-01-26 | Forest | Pennsylvania | 42053 | 2071 | 34 |
2154595 | 2154595 | 2022-01-26 | Forest | Wisconsin | 55041 | 2464 | 47 |
2150458 | 2150458 | 2022-01-25 | Forest | Pennsylvania | 42053 | 2066 | 34 |
2151342 | 2151342 | 2022-01-25 | Forest | Wisconsin | 55041 | 2447 | 47 |
2147206 | 2147206 | 2022-01-24 | Forest | Pennsylvania | 42053 | 2047 | 33 |
2148090 | 2148090 | 2022-01-24 | Forest | Wisconsin | 55041 | 2425 | 47 |
2143952 | 2143952 | 2022-01-23 | Forest | Pennsylvania | 42053 | 2043 | 33 |
2144838 | 2144838 | 2022-01-23 | Forest | Wisconsin | 55041 | 2370 | 47 |
2140697 | 2140697 | 2022-01-22 | Forest | Pennsylvania | 42053 | 2040 | 33 |
2141583 | 2141583 | 2022-01-22 | Forest | Wisconsin | 55041 | 2370 | 47 |
2137441 | 2137441 | 2022-01-21 | Forest | Pennsylvania | 42053 | 2022 | 33 |
2138327 | 2138327 | 2022-01-21 | Forest | Wisconsin | 55041 | 2370 | 47 |
2134187 | 2134187 | 2022-01-20 | Forest | Pennsylvania | 42053 | 2013 | 33 |
2135072 | 2135072 | 2022-01-20 | Forest | Wisconsin | 55041 | 2312 | 47 |
2130935 | 2130935 | 2022-01-19 | Forest | Pennsylvania | 42053 | 2006 | 33 |
2131820 | 2131820 | 2022-01-19 | Forest | Wisconsin | 55041 | 2276 | 47 |
2127681 | 2127681 | 2022-01-18 | Forest | Pennsylvania | 42053 | 1991 | 33 |
2128566 | 2128566 | 2022-01-18 | Forest | Wisconsin | 55041 | 2224 | 47 |
2124429 | 2124429 | 2022-01-17 | Forest | Pennsylvania | 42053 | 1987 | 33 |
2125313 | 2125313 | 2022-01-17 | Forest | Wisconsin | 55041 | 2213 | 47 |
2121177 | 2121177 | 2022-01-16 | Forest | Pennsylvania | 42053 | 1979 | 33 |
2122061 | 2122061 | 2022-01-16 | Forest | Wisconsin | 55041 | 2170 | 47 |
2117925 | 2117925 | 2022-01-15 | Forest | Pennsylvania | 42053 | 1967 | 33 |
2118809 | 2118809 | 2022-01-15 | Forest | Wisconsin | 55041 | 2170 | 47 |
2114674 | 2114674 | 2022-01-14 | Forest | Pennsylvania | 42053 | 1946 | 33 |
2115557 | 2115557 | 2022-01-14 | Forest | Wisconsin | 55041 | 2170 | 47 |
2111422 | 2111422 | 2022-01-13 | Forest | Pennsylvania | 42053 | 1930 | 33 |
2112305 | 2112305 | 2022-01-13 | Forest | Wisconsin | 55041 | 2135 | 47 |
2108170 | 2108170 | 2022-01-12 | Forest | Pennsylvania | 42053 | 1927 | 33 |
2109053 | 2109053 | 2022-01-12 | Forest | Wisconsin | 55041 | 2084 | 45 |
2104919 | 2104919 | 2022-01-11 | Forest | Pennsylvania | 42053 | 1919 | 33 |
2105802 | 2105802 | 2022-01-11 | Forest | Wisconsin | 55041 | 2051 | 44 |
2101668 | 2101668 | 2022-01-10 | Forest | Pennsylvania | 42053 | 1907 | 33 |
2102551 | 2102551 | 2022-01-10 | Forest | Wisconsin | 55041 | 2009 | 43 |
2098417 | 2098417 | 2022-01-09 | Forest | Pennsylvania | 42053 | 1902 | 33 |
2099300 | 2099300 | 2022-01-09 | Forest | Wisconsin | 55041 | 1992 | 43 |
2095165 | 2095165 | 2022-01-08 | Forest | Pennsylvania | 42053 | 1892 | 33 |
2096049 | 2096049 | 2022-01-08 | Forest | Wisconsin | 55041 | 1992 | 43 |
2091913 | 2091913 | 2022-01-07 | Forest | Pennsylvania | 42053 | 1884 | 31 |
2092797 | 2092797 | 2022-01-07 | Forest | Wisconsin | 55041 | 1992 | 43 |
2088661 | 2088661 | 2022-01-06 | Forest | Pennsylvania | 42053 | 1878 | 31 |
2089545 | 2089545 | 2022-01-06 | Forest | Wisconsin | 55041 | 1975 | 43 |
2085410 | 2085410 | 2022-01-05 | Forest | Pennsylvania | 42053 | 1876 | 31 |
2086294 | 2086294 | 2022-01-05 | Forest | Wisconsin | 55041 | 1955 | 40 |
2082158 | 2082158 | 2022-01-04 | Forest | Pennsylvania | 42053 | 1865 | 31 |
2083042 | 2083042 | 2022-01-04 | Forest | Wisconsin | 55041 | 1923 | 40 |
2078906 | 2078906 | 2022-01-03 | Forest | Pennsylvania | 42053 | 1864 | 31 |
2079790 | 2079790 | 2022-01-03 | Forest | Wisconsin | 55041 | 1908 | 40 |
2075655 | 2075655 | 2022-01-02 | Forest | Pennsylvania | 42053 | 1862 | 31 |
2076538 | 2076538 | 2022-01-02 | Forest | Wisconsin | 55041 | 1897 | 40 |
2072404 | 2072404 | 2022-01-01 | Forest | Pennsylvania | 42053 | 1857 | 31 |
2073287 | 2073287 | 2022-01-01 | Forest | Wisconsin | 55041 | 1897 | 40 |
2069153 | 2069153 | 2021-12-31 | Forest | Pennsylvania | 42053 | 1854 | 31 |
2070036 | 2070036 | 2021-12-31 | Forest | Wisconsin | 55041 | 1897 | 40 |
2065902 | 2065902 | 2021-12-30 | Forest | Pennsylvania | 42053 | 1850 | 31 |
2066785 | 2066785 | 2021-12-30 | Forest | Wisconsin | 55041 | 1889 | 40 |
2062652 | 2062652 | 2021-12-29 | Forest | Pennsylvania | 42053 | 1848 | 31 |
2063535 | 2063535 | 2021-12-29 | Forest | Wisconsin | 55041 | 1883 | 40 |
2059402 | 2059402 | 2021-12-28 | Forest | Pennsylvania | 42053 | 1846 | 31 |
2060285 | 2060285 | 2021-12-28 | Forest | Wisconsin | 55041 | 1875 | 40 |
2056153 | 2056153 | 2021-12-27 | Forest | Pennsylvania | 42053 | 1846 | 31 |
2057036 | 2057036 | 2021-12-27 | Forest | Wisconsin | 55041 | 1874 | 40 |
2052904 | 2052904 | 2021-12-26 | Forest | Pennsylvania | 42053 | 1846 | 31 |
2053787 | 2053787 | 2021-12-26 | Forest | Wisconsin | 55041 | 1873 | 40 |
2049654 | 2049654 | 2021-12-25 | Forest | Pennsylvania | 42053 | 1846 | 31 |
2050537 | 2050537 | 2021-12-25 | Forest | Wisconsin | 55041 | 1873 | 40 |
2046404 | 2046404 | 2021-12-24 | Forest | Pennsylvania | 42053 | 1846 | 31 |
2047287 | 2047287 | 2021-12-24 | Forest | Wisconsin | 55041 | 1873 | 40 |
2043154 | 2043154 | 2021-12-23 | Forest | Pennsylvania | 42053 | 1846 | 31 |
2044037 | 2044037 | 2021-12-23 | Forest | Wisconsin | 55041 | 1872 | 40 |
2039905 | 2039905 | 2021-12-22 | Forest | Pennsylvania | 42053 | 1844 | 31 |
2040788 | 2040788 | 2021-12-22 | Forest | Wisconsin | 55041 | 1873 | 40 |
2036655 | 2036655 | 2021-12-21 | Forest | Pennsylvania | 42053 | 1843 | 31 |
2037538 | 2037538 | 2021-12-21 | Forest | Wisconsin | 55041 | 1869 | 40 |
2033405 | 2033405 | 2021-12-20 | Forest | Pennsylvania | 42053 | 1843 | 31 |
2034288 | 2034288 | 2021-12-20 | Forest | Wisconsin | 55041 | 1862 | 40 |
2030155 | 2030155 | 2021-12-19 | Forest | Pennsylvania | 42053 | 1833 | 31 |
2031038 | 2031038 | 2021-12-19 | Forest | Wisconsin | 55041 | 1860 | 40 |
2026904 | 2026904 | 2021-12-18 | Forest | Pennsylvania | 42053 | 1832 | 31 |
2027787 | 2027787 | 2021-12-18 | Forest | Wisconsin | 55041 | 1860 | 40 |
2023653 | 2023653 | 2021-12-17 | Forest | Pennsylvania | 42053 | 1828 | 31 |
2024536 | 2024536 | 2021-12-17 | Forest | Wisconsin | 55041 | 1860 | 40 |
2020402 | 2020402 | 2021-12-16 | Forest | Pennsylvania | 42053 | 1823 | 31 |
2021285 | 2021285 | 2021-12-16 | Forest | Wisconsin | 55041 | 1853 | 41 |
2017151 | 2017151 | 2021-12-15 | Forest | Pennsylvania | 42053 | 1818 | 31 |
2018034 | 2018034 | 2021-12-15 | Forest | Wisconsin | 55041 | 1848 | 41 |
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);