ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
97 rows where cases = 5264 sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
These facets timed out: county, fips
state 30
- Nebraska 13
- Indiana 9
- Kentucky 9
- Mississippi 7
- Minnesota 6
- Virginia 6
- Tennessee 5
- Alabama 4
- Texas 4
- Utah 4
- Florida 2
- Iowa 2
- Michigan 2
- Missouri 2
- Ohio 2
- Oregon 2
- Pennsylvania 2
- Puerto Rico 2
- West Virginia 2
- Wisconsin 2
- Colorado 1
- Delaware 1
- Georgia 1
- Illinois 1
- Louisiana 1
- Massachusetts 1
- New Mexico 1
- New York 1
- North Carolina 1
- South Dakota 1
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2502465 | 2502465 | 2022-05-13 | Carbon | Utah | 49007 | 5264 | 46 |
2499207 | 2499207 | 2022-05-12 | Carbon | Utah | 49007 | 5264 | 46 |
2495424 | 2495424 | 2022-05-11 | Fajardo | Puerto Rico | 72053 | 5264 | |
2424601 | 2424601 | 2022-04-19 | Iowa | Wisconsin | 55049 | 5264 | 28 |
2421345 | 2421345 | 2022-04-18 | Iowa | Wisconsin | 55049 | 5264 | 28 |
2400322 | 2400322 | 2022-04-12 | Dawson | Nebraska | 31047 | 5264 | 42 |
2397067 | 2397067 | 2022-04-11 | Dawson | Nebraska | 31047 | 5264 | 42 |
2393812 | 2393812 | 2022-04-10 | Dawson | Nebraska | 31047 | 5264 | 42 |
2390556 | 2390556 | 2022-04-09 | Dawson | Nebraska | 31047 | 5264 | 42 |
2387300 | 2387300 | 2022-04-08 | Dawson | Nebraska | 31047 | 5264 | 42 |
2384045 | 2384045 | 2022-04-07 | Dawson | Nebraska | 31047 | 5264 | 42 |
2380790 | 2380790 | 2022-04-06 | Dawson | Nebraska | 31047 | 5264 | 42 |
2377535 | 2377535 | 2022-04-05 | Dawson | Nebraska | 31047 | 5264 | 42 |
2374282 | 2374282 | 2022-04-04 | Dawson | Nebraska | 31047 | 5264 | 42 |
2371030 | 2371030 | 2022-04-03 | Dawson | Nebraska | 31047 | 5264 | 42 |
2367777 | 2367777 | 2022-04-02 | Dawson | Nebraska | 31047 | 5264 | 42 |
2364524 | 2364524 | 2022-04-01 | Dawson | Nebraska | 31047 | 5264 | 42 |
2361270 | 2361270 | 2022-03-31 | Dawson | Nebraska | 31047 | 5264 | 42 |
2314079 | 2314079 | 2022-03-17 | Monroe | Alabama | 1099 | 5264 | 80 |
2301802 | 2301802 | 2022-03-13 | Sullivan | Indiana | 18153 | 5264 | 76 |
2302130 | 2302130 | 2022-03-13 | Spencer | Kentucky | 21215 | 5264 | 50 |
2298550 | 2298550 | 2022-03-12 | Sullivan | Indiana | 18153 | 5264 | 76 |
2298878 | 2298878 | 2022-03-12 | Spencer | Kentucky | 21215 | 5264 | 50 |
2295298 | 2295298 | 2022-03-11 | Sullivan | Indiana | 18153 | 5264 | 76 |
2295626 | 2295626 | 2022-03-11 | Spencer | Kentucky | 21215 | 5264 | 50 |
2292046 | 2292046 | 2022-03-10 | Sullivan | Indiana | 18153 | 5264 | 74 |
2292374 | 2292374 | 2022-03-10 | Spencer | Kentucky | 21215 | 5264 | 50 |
2289122 | 2289122 | 2022-03-09 | Spencer | Kentucky | 21215 | 5264 | 50 |
2285871 | 2285871 | 2022-03-08 | Spencer | Kentucky | 21215 | 5264 | 50 |
2282619 | 2282619 | 2022-03-07 | Spencer | Kentucky | 21215 | 5264 | 50 |
2198372 | 2198372 | 2022-02-09 | Wabasha | Minnesota | 27157 | 5264 | 16 |
2190252 | 2190252 | 2022-02-06 | Staunton city | Virginia | 51790 | 5264 | 97 |
2186999 | 2186999 | 2022-02-05 | Staunton city | Virginia | 51790 | 5264 | 97 |
2183746 | 2183746 | 2022-02-04 | Staunton city | Virginia | 51790 | 5264 | 97 |
2145531 | 2145531 | 2022-01-24 | Crawford | Illinois | 17033 | 5264 | 53 |
2081301 | 2081301 | 2022-01-04 | George | Mississippi | 28039 | 5264 | 80 |
2082926 | 2082926 | 2022-01-04 | Wythe | Virginia | 51197 | 5264 | 119 |
2064095 | 2064095 | 2021-12-30 | Madison | Georgia | 13195 | 5264 | 85 |
2050666 | 2050666 | 2021-12-26 | Pike | Alabama | 1109 | 5264 | 111 |
2032157 | 2032157 | 2021-12-20 | Grayson | Kentucky | 21085 | 5264 | 101 |
2009910 | 2009910 | 2021-12-13 | Lafayette | Missouri | 29107 | 5264 | 89 |
1973876 | 1973876 | 2021-12-02 | Houghton | Michigan | 26061 | 5264 | 61 |
1970627 | 1970627 | 2021-12-01 | Houghton | Michigan | 26061 | 5264 | 61 |
1968681 | 1968681 | 2021-11-30 | Lauderdale | Tennessee | 47097 | 5264 | 70 |
1931927 | 1931927 | 2021-11-19 | Polk | Missouri | 29167 | 5264 | 80 |
1928112 | 1928112 | 2021-11-18 | Calloway | Kentucky | 21035 | 5264 | 62 |
1852230 | 1852230 | 2021-10-25 | Marshall | West Virginia | 54051 | 5264 | 110 |
1819350 | 1819350 | 2021-10-15 | Hopkins | Texas | 48223 | 5264 | 142 |
1753504 | 1753504 | 2021-09-25 | Livingston | New York | 36051 | 5264 | 68 |
1739995 | 1739995 | 2021-09-21 | Itasca | Minnesota | 27061 | 5264 | 71 |
1732909 | 1732909 | 2021-09-19 | Putnam | Indiana | 18133 | 5264 | 69 |
1729659 | 1729659 | 2021-09-18 | Putnam | Indiana | 18133 | 5264 | 69 |
1726409 | 1726409 | 2021-09-17 | Putnam | Indiana | 18133 | 5264 | 69 |
1717240 | 1717240 | 2021-09-14 | Douglas | Minnesota | 27041 | 5264 | 84 |
1695092 | 1695092 | 2021-09-07 | Davie | North Carolina | 37059 | 5264 | 53 |
1667036 | 1667036 | 2021-08-29 | Jefferson | West Virginia | 54037 | 5264 | 61 |
1656759 | 1656759 | 2021-08-26 | Marshall | Tennessee | 47117 | 5264 | 67 |
1575612 | 1575612 | 2021-08-01 | Burnet | Texas | 48053 | 5264 | 72 |
1572364 | 1572364 | 2021-07-31 | Burnet | Texas | 48053 | 5264 | 72 |
1260940 | 1260940 | 2021-04-26 | Box Elder | Utah | 49003 | 5264 | 50 |
1249132 | 1249132 | 2021-04-23 | Cerro Gordo | Iowa | 19033 | 5264 | 87 |
1224420 | 1224420 | 2021-04-15 | Darke | Ohio | 39037 | 5264 | 121 |
1187950 | 1187950 | 2021-04-04 | Chisago | Minnesota | 27025 | 5264 | 48 |
1188101 | 1188101 | 2021-04-04 | Washington | Mississippi | 28151 | 5264 | 132 |
1184703 | 1184703 | 2021-04-03 | Chisago | Minnesota | 27025 | 5264 | 48 |
1184854 | 1184854 | 2021-04-03 | Washington | Mississippi | 28151 | 5264 | 132 |
1181608 | 1181608 | 2021-04-02 | Washington | Mississippi | 28151 | 5264 | 132 |
1178361 | 1178361 | 2021-04-01 | Washington | Mississippi | 28151 | 5264 | 132 |
1175114 | 1175114 | 2021-03-31 | Washington | Mississippi | 28151 | 5264 | 132 |
1171867 | 1171867 | 2021-03-30 | Washington | Mississippi | 28151 | 5264 | 132 |
1159851 | 1159851 | 2021-03-26 | Brown | South Dakota | 46013 | 5264 | 91 |
1160283 | 1160283 | 2021-03-26 | Summit | Utah | 49043 | 5264 | 11 |
1111233 | 1111233 | 2021-03-11 | Dyer | Tennessee | 47045 | 5264 | 102 |
1085977 | 1085977 | 2021-03-04 | Coffee | Alabama | 1031 | 5264 | 103 |
1078545 | 1078545 | 2021-03-01 | Union | Pennsylvania | 42119 | 5264 | 81 |
1018522 | 1018522 | 2021-02-11 | Dearborn | Indiana | 18029 | 5264 | 62 |
1007437 | 1007437 | 2021-02-07 | Warren | Tennessee | 47177 | 5264 | 66 |
963003 | 963003 | 2021-01-25 | Putnam | Florida | 12107 | 5264 | 97 |
930178 | 930178 | 2021-01-15 | Blount | Alabama | 1009 | 5264 | 83 |
929798 | 929798 | 2021-01-14 | Wise | Texas | 48497 | 5264 | 80 |
856924 | 856924 | 2020-12-23 | Rice | Minnesota | 27131 | 5264 | 47 |
854844 | 854844 | 2020-12-22 | Hamblen | Tennessee | 47063 | 5264 | 74 |
844792 | 844792 | 2020-12-19 | Jackson | Oregon | 41029 | 5264 | 58 |
781608 | 781608 | 2020-11-30 | Delaware | Indiana | 18035 | 5264 | 108 |
743091 | 743091 | 2020-11-18 | Livingston | Louisiana | 22063 | 5264 | 87 |
712444 | 712444 | 2020-11-08 | Chesapeake city | Virginia | 51550 | 5264 | 80 |
701909 | 701909 | 2020-11-05 | Warren | Ohio | 39165 | 5264 | 70 |
698862 | 698862 | 2020-11-04 | Bayamon | Puerto Rico | 72021 | 5264 | |
631945 | 631945 | 2020-10-15 | Weld | Colorado | 8123 | 5264 | 155 |
609308 | 609308 | 2020-10-08 | Okaloosa | Florida | 12091 | 5264 | 122 |
596816 | 596816 | 2020-10-04 | Johnson | Iowa | 19103 | 5264 | 28 |
511476 | 511476 | 2020-09-07 | Chesterfield | Virginia | 51041 | 5264 | 83 |
436474 | 436474 | 2020-08-15 | Multnomah | Oregon | 41051 | 5264 | 103 |
429584 | 429584 | 2020-08-13 | Bernalillo | New Mexico | 35001 | 5264 | 134 |
430045 | 430045 | 2020-08-13 | Chester | Pennsylvania | 42029 | 5264 | 350 |
344544 | 344544 | 2020-07-18 | Sussex | Delaware | 10005 | 5264 | 178 |
155403 | 155403 | 2020-05-18 | Hampden | Massachusetts | 25013 | 5264 | 517 |
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);