ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
941 rows where cases = 372 sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
These facets timed out: county, fips
state >30
- Nebraska 183
- South Dakota 93
- Kansas 92
- Texas 71
- Georgia 43
- Virginia 26
- Louisiana 25
- Puerto Rico 23
- Kentucky 22
- Minnesota 21
- Alaska 18
- Michigan 17
- Missouri 17
- West Virginia 17
- North Carolina 16
- Wyoming 15
- Iowa 14
- Illinois 13
- Indiana 13
- North Dakota 13
- Wisconsin 13
- Arkansas 12
- California 12
- Montana 12
- Pennsylvania 12
- Colorado 11
- Florida 10
- New York 10
- Ohio 10
- Mississippi 9
- …
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2491509 | 2491509 | 2022-05-10 | Garden | Nebraska | 31069 | 372 | 1 |
2488251 | 2488251 | 2022-05-09 | Garden | Nebraska | 31069 | 372 | 1 |
2484994 | 2484994 | 2022-05-08 | Garden | Nebraska | 31069 | 372 | 1 |
2481736 | 2481736 | 2022-05-07 | Garden | Nebraska | 31069 | 372 | 1 |
2478478 | 2478478 | 2022-05-06 | Garden | Nebraska | 31069 | 372 | 1 |
2475220 | 2475220 | 2022-05-05 | Garden | Nebraska | 31069 | 372 | 1 |
2471963 | 2471963 | 2022-05-04 | Garden | Nebraska | 31069 | 372 | 1 |
2453714 | 2453714 | 2022-04-28 | Highland | Virginia | 51091 | 372 | 7 |
2400335 | 2400335 | 2022-04-12 | Gosper | Nebraska | 31073 | 372 | 7 |
2397080 | 2397080 | 2022-04-11 | Gosper | Nebraska | 31073 | 372 | 7 |
2393825 | 2393825 | 2022-04-10 | Gosper | Nebraska | 31073 | 372 | 7 |
2390569 | 2390569 | 2022-04-09 | Gosper | Nebraska | 31073 | 372 | 7 |
2387313 | 2387313 | 2022-04-08 | Gosper | Nebraska | 31073 | 372 | 7 |
2384058 | 2384058 | 2022-04-07 | Gosper | Nebraska | 31073 | 372 | 7 |
2380803 | 2380803 | 2022-04-06 | Gosper | Nebraska | 31073 | 372 | 7 |
2377548 | 2377548 | 2022-04-05 | Gosper | Nebraska | 31073 | 372 | 7 |
2374295 | 2374295 | 2022-04-04 | Gosper | Nebraska | 31073 | 372 | 7 |
2371043 | 2371043 | 2022-04-03 | Gosper | Nebraska | 31073 | 372 | 7 |
2367790 | 2367790 | 2022-04-02 | Gosper | Nebraska | 31073 | 372 | 7 |
2364537 | 2364537 | 2022-04-01 | Gosper | Nebraska | 31073 | 372 | 7 |
2361283 | 2361283 | 2022-03-31 | Gosper | Nebraska | 31073 | 372 | 7 |
2358029 | 2358029 | 2022-03-30 | Gosper | Nebraska | 31073 | 372 | 7 |
2354776 | 2354776 | 2022-03-29 | Gosper | Nebraska | 31073 | 372 | 7 |
2351523 | 2351523 | 2022-03-28 | Gosper | Nebraska | 31073 | 372 | 7 |
2348271 | 2348271 | 2022-03-27 | Gosper | Nebraska | 31073 | 372 | 7 |
2345018 | 2345018 | 2022-03-26 | Gosper | Nebraska | 31073 | 372 | 7 |
2341765 | 2341765 | 2022-03-25 | Gosper | Nebraska | 31073 | 372 | 7 |
2338512 | 2338512 | 2022-03-24 | Gosper | Nebraska | 31073 | 372 | 7 |
2218149 | 2218149 | 2022-02-15 | Wheatland | Montana | 30107 | 372 | 14 |
2195351 | 2195351 | 2022-02-08 | Liberty | Montana | 30051 | 372 | 2 |
2188882 | 2188882 | 2022-02-06 | Boyd | Nebraska | 31015 | 372 | 6 |
2185629 | 2185629 | 2022-02-05 | Boyd | Nebraska | 31015 | 372 | 6 |
2182377 | 2182377 | 2022-02-04 | Boyd | Nebraska | 31015 | 372 | 6 |
2179125 | 2179125 | 2022-02-03 | Boyd | Nebraska | 31015 | 372 | 6 |
2179153 | 2179153 | 2022-02-03 | Garfield | Nebraska | 31071 | 372 | 2 |
2175901 | 2175901 | 2022-02-02 | Garfield | Nebraska | 31071 | 372 | 2 |
2172654 | 2172654 | 2022-02-01 | Harlan | Nebraska | 31083 | 372 | 2 |
2169401 | 2169401 | 2022-01-31 | Harlan | Nebraska | 31083 | 372 | 2 |
2166171 | 2166171 | 2022-01-30 | Pawnee | Nebraska | 31133 | 372 | 4 |
2162916 | 2162916 | 2022-01-29 | Pawnee | Nebraska | 31133 | 372 | 4 |
2159661 | 2159661 | 2022-01-28 | Pawnee | Nebraska | 31133 | 372 | 4 |
2156407 | 2156407 | 2022-01-27 | Pawnee | Nebraska | 31133 | 372 | 4 |
2145421 | 2145421 | 2022-01-24 | Quitman | Georgia | 13239 | 372 | 4 |
2131142 | 2131142 | 2022-01-19 | Jerauld | South Dakota | 46073 | 372 | 19 |
2121533 | 2121533 | 2022-01-16 | Briscoe | Texas | 48045 | 372 | 8 |
2104639 | 2104639 | 2022-01-11 | Burke | North Dakota | 38013 | 372 | 3 |
2101866 | 2101866 | 2022-01-10 | Haakon | South Dakota | 46055 | 372 | 11 |
2097059 | 2097059 | 2022-01-09 | Hamilton | Kansas | 20075 | 372 | 3 |
2093807 | 2093807 | 2022-01-08 | Hamilton | Kansas | 20075 | 372 | 3 |
2090555 | 2090555 | 2022-01-07 | Hamilton | Kansas | 20075 | 372 | 3 |
2092410 | 2092410 | 2022-01-07 | Menard | Texas | 48327 | 372 | 12 |
2071337 | 2071337 | 2022-01-01 | Unknown | Maryland | 372 | 134 | |
2068086 | 2068086 | 2021-12-31 | Unknown | Maryland | 372 | 134 | |
2064835 | 2064835 | 2021-12-30 | Unknown | Maryland | 372 | 134 | |
2010869 | 2010869 | 2021-12-13 | Miner | South Dakota | 46097 | 372 | 11 |
1985115 | 1985115 | 2021-12-05 | Knox | Texas | 48275 | 372 | 22 |
1981865 | 1981865 | 2021-12-04 | Knox | Texas | 48275 | 372 | 22 |
1978615 | 1978615 | 2021-12-03 | Knox | Texas | 48275 | 372 | 21 |
1927487 | 1927487 | 2021-11-18 | Baker | Georgia | 13007 | 372 | 14 |
1924237 | 1924237 | 2021-11-17 | Baker | Georgia | 13007 | 372 | 14 |
1923398 | 1923398 | 2021-11-16 | Oldham | Texas | 48359 | 372 | 6 |
1917738 | 1917738 | 2021-11-15 | Baker | Georgia | 13007 | 372 | 14 |
1919371 | 1919371 | 2021-11-15 | Kidder | North Dakota | 38043 | 372 | 11 |
1920149 | 1920149 | 2021-11-15 | Oldham | Texas | 48359 | 372 | 6 |
1915808 | 1915808 | 2021-11-14 | Hitchcock | Nebraska | 31087 | 372 | 5 |
1916121 | 1916121 | 2021-11-14 | Kidder | North Dakota | 38043 | 372 | 11 |
1916899 | 1916899 | 2021-11-14 | Oldham | Texas | 48359 | 372 | 6 |
1912558 | 1912558 | 2021-11-13 | Hitchcock | Nebraska | 31087 | 372 | 5 |
1912871 | 1912871 | 2021-11-13 | Kidder | North Dakota | 38043 | 372 | 11 |
1913649 | 1913649 | 2021-11-13 | Oldham | Texas | 48359 | 372 | 6 |
1909308 | 1909308 | 2021-11-12 | Hitchcock | Nebraska | 31087 | 372 | 5 |
1910399 | 1910399 | 2021-11-12 | Oldham | Texas | 48359 | 372 | 6 |
1907150 | 1907150 | 2021-11-11 | Oldham | Texas | 48359 | 372 | 6 |
1898762 | 1898762 | 2021-11-09 | Decatur | Kansas | 20039 | 372 | 13 |
1895512 | 1895512 | 2021-11-08 | Decatur | Kansas | 20039 | 372 | 13 |
1892251 | 1892251 | 2021-11-07 | Chase | Kansas | 20017 | 372 | 4 |
1889001 | 1889001 | 2021-11-06 | Chase | Kansas | 20017 | 372 | 4 |
1885751 | 1885751 | 2021-11-05 | Chase | Kansas | 20017 | 372 | 4 |
1860879 | 1860879 | 2021-10-28 | Griggs | North Dakota | 38039 | 372 | 2 |
1852615 | 1852615 | 2021-10-26 | Custer | Colorado | 8027 | 372 | 7 |
1853317 | 1853317 | 2021-10-26 | Morton | Kansas | 20129 | 372 | 9 |
1850068 | 1850068 | 2021-10-25 | Morton | Kansas | 20129 | 372 | 9 |
1789869 | 1789869 | 2021-10-06 | Jackson | South Dakota | 46071 | 372 | 15 |
1786621 | 1786621 | 2021-10-05 | Jackson | South Dakota | 46071 | 372 | 15 |
1768849 | 1768849 | 2021-09-30 | Rawlins | Kansas | 20153 | 372 | 7 |
1765600 | 1765600 | 2021-09-29 | Rawlins | Kansas | 20153 | 372 | 7 |
1760901 | 1760901 | 2021-09-27 | Lipscomb | Texas | 48295 | 372 | 12 |
1757653 | 1757653 | 2021-09-26 | Lipscomb | Texas | 48295 | 372 | 12 |
1754405 | 1754405 | 2021-09-25 | Lipscomb | Texas | 48295 | 372 | 12 |
1754546 | 1754546 | 2021-09-25 | Essex | Vermont | 50009 | 372 | 2 |
1751157 | 1751157 | 2021-09-24 | Lipscomb | Texas | 48295 | 372 | 12 |
1747908 | 1747908 | 2021-09-23 | Lipscomb | Texas | 48295 | 372 | 12 |
1733892 | 1733892 | 2021-09-19 | Stanton | Nebraska | 31167 | 372 | 11 |
1730642 | 1730642 | 2021-09-18 | Stanton | Nebraska | 31167 | 372 | 11 |
1727392 | 1727392 | 2021-09-17 | Stanton | Nebraska | 31167 | 372 | 11 |
1724143 | 1724143 | 2021-09-16 | Stanton | Nebraska | 31167 | 372 | 11 |
1720894 | 1720894 | 2021-09-15 | Stanton | Nebraska | 31167 | 372 | 11 |
1717646 | 1717646 | 2021-09-14 | Stanton | Nebraska | 31167 | 372 | 11 |
1714398 | 1714398 | 2021-09-13 | Stanton | Nebraska | 31167 | 372 | 11 |
1715135 | 1715135 | 2021-09-13 | Hand | South Dakota | 46059 | 372 | 6 |
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);