ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,404 rows where date = "2020-04-04" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
state >30
- Texas 151
- Georgia 149
- Virginia 110
- Indiana 88
- North Carolina 88
- Tennessee 87
- Kentucky 80
- Mississippi 78
- Missouri 77
- Ohio 76
- Michigan 70
- Illinois 69
- Iowa 69
- Alabama 65
- Pennsylvania 64
- Arkansas 63
- Florida 63
- Louisiana 62
- Minnesota 59
- New York 59
- Oklahoma 56
- Wisconsin 56
- Colorado 55
- California 52
- Kansas 49
- South Carolina 46
- Washington 38
- Idaho 31
- South Dakota 31
- West Virginia 31
- …
fips >30
county >30
- Unknown 30
- Washington 29
- Franklin 21
- Jefferson 21
- Lincoln 20
- Jackson 18
- Madison 16
- Montgomery 16
- Union 15
- Clay 13
- Marion 13
- Warren 13
- Carroll 12
- Monroe 12
- Greene 11
- Lee 11
- Adams 10
- Clark 10
- Crawford 10
- Douglas 10
- Fayette 10
- Grant 10
- Wayne 10
- Clinton 9
- Henry 9
- Johnson 9
- Lawrence 9
- Marshall 9
- Morgan 9
- Polk 9
- …
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
30754 | 30754 | 2020-04-04 | Autauga | Alabama | 1001 | 12 | 0 |
30755 | 30755 | 2020-04-04 | Baldwin | Alabama | 1003 | 29 | 1 |
30756 | 30756 | 2020-04-04 | Barbour | Alabama | 1005 | 2 | 0 |
30757 | 30757 | 2020-04-04 | Bibb | Alabama | 1007 | 4 | 0 |
30758 | 30758 | 2020-04-04 | Blount | Alabama | 1009 | 10 | 0 |
30759 | 30759 | 2020-04-04 | Bullock | Alabama | 1011 | 2 | 0 |
30760 | 30760 | 2020-04-04 | Butler | Alabama | 1013 | 1 | 0 |
30761 | 30761 | 2020-04-04 | Calhoun | Alabama | 1015 | 21 | 0 |
30762 | 30762 | 2020-04-04 | Chambers | Alabama | 1017 | 87 | 6 |
30763 | 30763 | 2020-04-04 | Cherokee | Alabama | 1019 | 6 | 0 |
30764 | 30764 | 2020-04-04 | Chilton | Alabama | 1021 | 15 | 0 |
30765 | 30765 | 2020-04-04 | Choctaw | Alabama | 1023 | 4 | 0 |
30766 | 30766 | 2020-04-04 | Clarke | Alabama | 1025 | 7 | 0 |
30767 | 30767 | 2020-04-04 | Clay | Alabama | 1027 | 9 | 0 |
30768 | 30768 | 2020-04-04 | Cleburne | Alabama | 1029 | 7 | 0 |
30769 | 30769 | 2020-04-04 | Coffee | Alabama | 1031 | 7 | 0 |
30770 | 30770 | 2020-04-04 | Colbert | Alabama | 1033 | 5 | 0 |
30771 | 30771 | 2020-04-04 | Conecuh | Alabama | 1035 | 2 | 0 |
30772 | 30772 | 2020-04-04 | Coosa | Alabama | 1037 | 6 | 0 |
30773 | 30773 | 2020-04-04 | Covington | Alabama | 1039 | 4 | 0 |
30774 | 30774 | 2020-04-04 | Crenshaw | Alabama | 1041 | 2 | 0 |
30775 | 30775 | 2020-04-04 | Cullman | Alabama | 1043 | 15 | 1 |
30776 | 30776 | 2020-04-04 | Dale | Alabama | 1045 | 2 | 0 |
30777 | 30777 | 2020-04-04 | Dallas | Alabama | 1047 | 7 | 0 |
30778 | 30778 | 2020-04-04 | DeKalb | Alabama | 1049 | 13 | 0 |
30779 | 30779 | 2020-04-04 | Elmore | Alabama | 1051 | 19 | 0 |
30780 | 30780 | 2020-04-04 | Escambia | Alabama | 1053 | 2 | 0 |
30781 | 30781 | 2020-04-04 | Etowah | Alabama | 1055 | 27 | 3 |
30782 | 30782 | 2020-04-04 | Fayette | Alabama | 1057 | 1 | 0 |
30783 | 30783 | 2020-04-04 | Franklin | Alabama | 1059 | 6 | 0 |
30784 | 30784 | 2020-04-04 | Greene | Alabama | 1063 | 5 | 0 |
30785 | 30785 | 2020-04-04 | Hale | Alabama | 1065 | 3 | 0 |
30786 | 30786 | 2020-04-04 | Henry | Alabama | 1067 | 2 | 0 |
30787 | 30787 | 2020-04-04 | Houston | Alabama | 1069 | 14 | 1 |
30788 | 30788 | 2020-04-04 | Jackson | Alabama | 1071 | 13 | 1 |
30789 | 30789 | 2020-04-04 | Jefferson | Alabama | 1073 | 376 | 9 |
30790 | 30790 | 2020-04-04 | Lamar | Alabama | 1075 | 3 | 0 |
30791 | 30791 | 2020-04-04 | Lauderdale | Alabama | 1077 | 16 | 2 |
30792 | 30792 | 2020-04-04 | Lawrence | Alabama | 1079 | 4 | 0 |
30793 | 30793 | 2020-04-04 | Lee | Alabama | 1081 | 104 | 3 |
30794 | 30794 | 2020-04-04 | Limestone | Alabama | 1083 | 31 | 0 |
30795 | 30795 | 2020-04-04 | Lowndes | Alabama | 1085 | 3 | 0 |
30796 | 30796 | 2020-04-04 | Macon | Alabama | 1087 | 5 | 0 |
30797 | 30797 | 2020-04-04 | Madison | Alabama | 1089 | 126 | 1 |
30798 | 30798 | 2020-04-04 | Marengo | Alabama | 1091 | 8 | 0 |
30799 | 30799 | 2020-04-04 | Marion | Alabama | 1093 | 17 | 2 |
30800 | 30800 | 2020-04-04 | Marshall | Alabama | 1095 | 17 | 0 |
30801 | 30801 | 2020-04-04 | Mobile | Alabama | 1097 | 114 | 5 |
30802 | 30802 | 2020-04-04 | Monroe | Alabama | 1099 | 5 | 0 |
30803 | 30803 | 2020-04-04 | Montgomery | Alabama | 1101 | 63 | 1 |
30804 | 30804 | 2020-04-04 | Morgan | Alabama | 1103 | 24 | 0 |
30805 | 30805 | 2020-04-04 | Pickens | Alabama | 1107 | 12 | 0 |
30806 | 30806 | 2020-04-04 | Pike | Alabama | 1109 | 10 | 0 |
30807 | 30807 | 2020-04-04 | Randolph | Alabama | 1111 | 11 | 1 |
30808 | 30808 | 2020-04-04 | Russell | Alabama | 1113 | 6 | 0 |
30809 | 30809 | 2020-04-04 | Shelby | Alabama | 1117 | 127 | 5 |
30810 | 30810 | 2020-04-04 | St. Clair | Alabama | 1115 | 25 | 0 |
30811 | 30811 | 2020-04-04 | Sumter | Alabama | 1119 | 6 | 0 |
30812 | 30812 | 2020-04-04 | Talladega | Alabama | 1121 | 16 | 0 |
30813 | 30813 | 2020-04-04 | Tallapoosa | Alabama | 1123 | 20 | 1 |
30814 | 30814 | 2020-04-04 | Tuscaloosa | Alabama | 1125 | 44 | 0 |
30815 | 30815 | 2020-04-04 | Walker | Alabama | 1127 | 49 | 0 |
30816 | 30816 | 2020-04-04 | Washington | Alabama | 1129 | 5 | 1 |
30817 | 30817 | 2020-04-04 | Wilcox | Alabama | 1131 | 11 | 0 |
30818 | 30818 | 2020-04-04 | Winston | Alabama | 1133 | 3 | 0 |
30819 | 30819 | 2020-04-04 | Anchorage | Alaska | 2020 | 81 | 2 |
30820 | 30820 | 2020-04-04 | Fairbanks North Star Borough | Alaska | 2090 | 46 | 1 |
30821 | 30821 | 2020-04-04 | Juneau City and Borough | Alaska | 2110 | 12 | 0 |
30822 | 30822 | 2020-04-04 | Kenai Peninsula Borough | Alaska | 2122 | 10 | 0 |
30823 | 30823 | 2020-04-04 | Ketchikan Gateway Borough | Alaska | 2130 | 14 | 0 |
30824 | 30824 | 2020-04-04 | Matanuska-Susitna Borough | Alaska | 2170 | 4 | 0 |
30825 | 30825 | 2020-04-04 | Southeast Fairbanks Census Area | Alaska | 2240 | 1 | 0 |
30826 | 30826 | 2020-04-04 | Yukon-Koyukuk Census Area | Alaska | 2290 | 1 | 0 |
30827 | 30827 | 2020-04-04 | Apache | Arizona | 4001 | 20 | 0 |
30828 | 30828 | 2020-04-04 | Cochise | Arizona | 4003 | 7 | 0 |
30829 | 30829 | 2020-04-04 | Coconino | Arizona | 4005 | 147 | 10 |
30830 | 30830 | 2020-04-04 | Gila | Arizona | 4007 | 3 | 0 |
30831 | 30831 | 2020-04-04 | Graham | Arizona | 4009 | 3 | 0 |
30832 | 30832 | 2020-04-04 | Greenlee | Arizona | 4011 | 1 | 0 |
30833 | 30833 | 2020-04-04 | La Paz | Arizona | 4012 | 2 | 0 |
30834 | 30834 | 2020-04-04 | Maricopa | Arizona | 4013 | 1171 | 28 |
30835 | 30835 | 2020-04-04 | Mohave | Arizona | 4015 | 12 | 0 |
30836 | 30836 | 2020-04-04 | Navajo | Arizona | 4017 | 177 | 1 |
30837 | 30837 | 2020-04-04 | Pima | Arizona | 4019 | 326 | 12 |
30838 | 30838 | 2020-04-04 | Pinal | Arizona | 4021 | 89 | 0 |
30839 | 30839 | 2020-04-04 | Santa Cruz | Arizona | 4023 | 4 | 0 |
30840 | 30840 | 2020-04-04 | Unknown | Arizona | 0 | 2 | |
30841 | 30841 | 2020-04-04 | Yavapai | Arizona | 4025 | 43 | 0 |
30842 | 30842 | 2020-04-04 | Yuma | Arizona | 4027 | 14 | 0 |
30843 | 30843 | 2020-04-04 | Arkansas | Arkansas | 5001 | 1 | 0 |
30844 | 30844 | 2020-04-04 | Ashley | Arkansas | 5003 | 4 | 0 |
30845 | 30845 | 2020-04-04 | Baxter | Arkansas | 5005 | 3 | 0 |
30846 | 30846 | 2020-04-04 | Benton | Arkansas | 5007 | 40 | 0 |
30847 | 30847 | 2020-04-04 | Boone | Arkansas | 5009 | 3 | 0 |
30848 | 30848 | 2020-04-04 | Bradley | Arkansas | 5011 | 4 | 0 |
30849 | 30849 | 2020-04-04 | Carroll | Arkansas | 5015 | 1 | 0 |
30850 | 30850 | 2020-04-04 | Chicot | Arkansas | 5017 | 2 | 0 |
30851 | 30851 | 2020-04-04 | Clark | Arkansas | 5019 | 27 | 0 |
30852 | 30852 | 2020-04-04 | Cleburne | Arkansas | 5023 | 65 | 3 |
30853 | 30853 | 2020-04-04 | Cleveland | Arkansas | 5025 | 4 | 0 |
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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);