ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,502,832 rows sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
These facets timed out: county, fips
state >30
- Texas 77,924
- Georgia 51,929
- Virginia 42,605
- Kentucky 37,972
- Missouri 36,364
- Illinois 32,534
- North Carolina 32,309
- Iowa 31,478
- Kansas 31,419
- Tennessee 31,039
- Indiana 29,934
- Ohio 28,626
- Minnesota 27,843
- Michigan 26,982
- Mississippi 26,780
- Nebraska 26,582
- Oklahoma 24,434
- Arkansas 24,376
- Wisconsin 23,231
- Puerto Rico 22,452
- Florida 22,354
- Pennsylvania 21,956
- Alabama 21,760
- Louisiana 21,328
- Colorado 20,343
- South Dakota 19,522
- New York 19,302
- California 19,237
- West Virginia 17,211
- North Dakota 15,929
- …
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1021936 | 1021936 | 2021-02-12 | Washington | Iowa | 19183 | 2336 | 41 |
1021937 | 1021937 | 2021-02-12 | Wayne | Iowa | 19185 | 437 | 21 |
1021938 | 1021938 | 2021-02-12 | Webster | Iowa | 19187 | 4844 | 83 |
1021939 | 1021939 | 2021-02-12 | Winnebago | Iowa | 19189 | 1267 | 30 |
1021940 | 1021940 | 2021-02-12 | Winneshiek | Iowa | 19191 | 1750 | 26 |
1021941 | 1021941 | 2021-02-12 | Woodbury | Iowa | 19193 | 13454 | 205 |
1021942 | 1021942 | 2021-02-12 | Worth | Iowa | 19195 | 647 | 4 |
1021943 | 1021943 | 2021-02-12 | Wright | Iowa | 19197 | 1703 | 31 |
1021944 | 1021944 | 2021-02-12 | Allen | Kansas | 20001 | 1047 | 1 |
1021945 | 1021945 | 2021-02-12 | Anderson | Kansas | 20003 | 794 | 0 |
1021946 | 1021946 | 2021-02-12 | Atchison | Kansas | 20005 | 1488 | 13 |
1021947 | 1021947 | 2021-02-12 | Barber | Kansas | 20007 | 365 | 2 |
1021948 | 1021948 | 2021-02-12 | Barton | Kansas | 20009 | 2542 | 21 |
1021949 | 1021949 | 2021-02-12 | Bourbon | Kansas | 20011 | 1253 | 3 |
1021950 | 1021950 | 2021-02-12 | Brown | Kansas | 20013 | 1189 | 32 |
1021951 | 1021951 | 2021-02-12 | Butler | Kansas | 20015 | 7038 | 52 |
1021952 | 1021952 | 2021-02-12 | Chase | Kansas | 20017 | 269 | 3 |
1021953 | 1021953 | 2021-02-12 | Chautauqua | Kansas | 20019 | 250 | 3 |
1021954 | 1021954 | 2021-02-12 | Cherokee | Kansas | 20021 | 2303 | 16 |
1021955 | 1021955 | 2021-02-12 | Cheyenne | Kansas | 20023 | 342 | 10 |
1021956 | 1021956 | 2021-02-12 | Clark | Kansas | 20025 | 233 | 4 |
1021957 | 1021957 | 2021-02-12 | Clay | Kansas | 20027 | 816 | 23 |
1021958 | 1021958 | 2021-02-12 | Cloud | Kansas | 20029 | 959 | 2 |
1021959 | 1021959 | 2021-02-12 | Coffey | Kansas | 20031 | 687 | 13 |
1021960 | 1021960 | 2021-02-12 | Comanche | Kansas | 20033 | 154 | 9 |
1021961 | 1021961 | 2021-02-12 | Cowley | Kansas | 20035 | 3713 | 9 |
1021962 | 1021962 | 2021-02-12 | Crawford | Kansas | 20037 | 4413 | 73 |
1021963 | 1021963 | 2021-02-12 | Decatur | Kansas | 20039 | 258 | 1 |
1021964 | 1021964 | 2021-02-12 | Dickinson | Kansas | 20041 | 1669 | 34 |
1021965 | 1021965 | 2021-02-12 | Doniphan | Kansas | 20043 | 923 | 7 |
1021966 | 1021966 | 2021-02-12 | Douglas | Kansas | 20045 | 8424 | 71 |
1021967 | 1021967 | 2021-02-12 | Edwards | Kansas | 20047 | 262 | 0 |
1021968 | 1021968 | 2021-02-12 | Elk | Kansas | 20049 | 167 | 0 |
1021969 | 1021969 | 2021-02-12 | Ellis | Kansas | 20051 | 3590 | 61 |
1021970 | 1021970 | 2021-02-12 | Ellsworth | Kansas | 20053 | 1199 | 4 |
1021971 | 1021971 | 2021-02-12 | Finney | Kansas | 20055 | 5946 | 48 |
1021972 | 1021972 | 2021-02-12 | Ford | Kansas | 20057 | 5516 | 10 |
1021973 | 1021973 | 2021-02-12 | Franklin | Kansas | 20059 | 2378 | 19 |
1021974 | 1021974 | 2021-02-12 | Geary | Kansas | 20061 | 2887 | 23 |
1021975 | 1021975 | 2021-02-12 | Gove | Kansas | 20063 | 374 | 22 |
1021976 | 1021976 | 2021-02-12 | Graham | Kansas | 20065 | 246 | 2 |
1021977 | 1021977 | 2021-02-12 | Grant | Kansas | 20067 | 962 | 17 |
1021978 | 1021978 | 2021-02-12 | Gray | Kansas | 20069 | 600 | 12 |
1021979 | 1021979 | 2021-02-12 | Greeley | Kansas | 20071 | 101 | 0 |
1021980 | 1021980 | 2021-02-12 | Greenwood | Kansas | 20073 | 570 | 2 |
1021981 | 1021981 | 2021-02-12 | Hamilton | Kansas | 20075 | 199 | 0 |
1021982 | 1021982 | 2021-02-12 | Harper | Kansas | 20077 | 599 | 17 |
1021983 | 1021983 | 2021-02-12 | Harvey | Kansas | 20079 | 3323 | 52 |
1021984 | 1021984 | 2021-02-12 | Haskell | Kansas | 20081 | 406 | 1 |
1021985 | 1021985 | 2021-02-12 | Hodgeman | Kansas | 20083 | 192 | 6 |
1021986 | 1021986 | 2021-02-12 | Jackson | Kansas | 20085 | 1312 | 11 |
1021987 | 1021987 | 2021-02-12 | Jefferson | Kansas | 20087 | 1576 | 28 |
1021988 | 1021988 | 2021-02-12 | Jewell | Kansas | 20089 | 194 | 3 |
1021989 | 1021989 | 2021-02-12 | Johnson | Kansas | 20091 | 51871 | 604 |
1021990 | 1021990 | 2021-02-12 | Kearny | Kansas | 20093 | 552 | 9 |
1021991 | 1021991 | 2021-02-12 | Kingman | Kansas | 20095 | 713 | 11 |
1021992 | 1021992 | 2021-02-12 | Kiowa | Kansas | 20097 | 266 | 5 |
1021993 | 1021993 | 2021-02-12 | Labette | Kansas | 20099 | 2530 | 44 |
1021994 | 1021994 | 2021-02-12 | Lane | Kansas | 20101 | 141 | 5 |
1021995 | 1021995 | 2021-02-12 | Leavenworth | Kansas | 20103 | 6555 | 48 |
1021996 | 1021996 | 2021-02-12 | Lincoln | Kansas | 20105 | 252 | 4 |
1021997 | 1021997 | 2021-02-12 | Linn | Kansas | 20107 | 745 | 7 |
1021998 | 1021998 | 2021-02-12 | Logan | Kansas | 20109 | 290 | 0 |
1021999 | 1021999 | 2021-02-12 | Lyon | Kansas | 20111 | 3983 | 75 |
1022000 | 1022000 | 2021-02-12 | Marion | Kansas | 20115 | 996 | 14 |
1022001 | 1022001 | 2021-02-12 | Marshall | Kansas | 20117 | 1061 | 22 |
1022002 | 1022002 | 2021-02-12 | McPherson | Kansas | 20113 | 3064 | 69 |
1022003 | 1022003 | 2021-02-12 | Meade | Kansas | 20119 | 483 | 7 |
1022004 | 1022004 | 2021-02-12 | Miami | Kansas | 20121 | 2551 | 25 |
1022005 | 1022005 | 2021-02-12 | Mitchell | Kansas | 20123 | 554 | 0 |
1022006 | 1022006 | 2021-02-12 | Montgomery | Kansas | 20125 | 3176 | 6 |
1022007 | 1022007 | 2021-02-12 | Morris | Kansas | 20127 | 573 | 17 |
1022008 | 1022008 | 2021-02-12 | Morton | Kansas | 20129 | 247 | 9 |
1022009 | 1022009 | 2021-02-12 | Nemaha | Kansas | 20131 | 1451 | 50 |
1022010 | 1022010 | 2021-02-12 | Neosho | Kansas | 20133 | 1682 | 18 |
1022011 | 1022011 | 2021-02-12 | Ness | Kansas | 20135 | 361 | 15 |
1022012 | 1022012 | 2021-02-12 | Norton | Kansas | 20137 | 1214 | 27 |
1022013 | 1022013 | 2021-02-12 | Osage | Kansas | 20139 | 1145 | 11 |
1022014 | 1022014 | 2021-02-12 | Osborne | Kansas | 20141 | 280 | 0 |
1022015 | 1022015 | 2021-02-12 | Ottawa | Kansas | 20143 | 545 | 0 |
1022016 | 1022016 | 2021-02-12 | Pawnee | Kansas | 20145 | 1129 | 13 |
1022017 | 1022017 | 2021-02-12 | Phillips | Kansas | 20147 | 676 | 18 |
1022018 | 1022018 | 2021-02-12 | Pottawatomie | Kansas | 20149 | 1637 | 21 |
1022019 | 1022019 | 2021-02-12 | Pratt | Kansas | 20151 | 796 | 23 |
1022020 | 1022020 | 2021-02-12 | Rawlins | Kansas | 20153 | 347 | 7 |
1022021 | 1022021 | 2021-02-12 | Reno | Kansas | 20155 | 8191 | 126 |
1022022 | 1022022 | 2021-02-12 | Republic | Kansas | 20157 | 673 | 14 |
1022023 | 1022023 | 2021-02-12 | Rice | Kansas | 20159 | 1030 | 1 |
1022024 | 1022024 | 2021-02-12 | Riley | Kansas | 20161 | 6115 | 32 |
1022025 | 1022025 | 2021-02-12 | Rooks | Kansas | 20163 | 619 | 10 |
1022026 | 1022026 | 2021-02-12 | Rush | Kansas | 20165 | 424 | 0 |
1022027 | 1022027 | 2021-02-12 | Russell | Kansas | 20167 | 820 | 23 |
1022028 | 1022028 | 2021-02-12 | Saline | Kansas | 20169 | 5851 | 102 |
1022029 | 1022029 | 2021-02-12 | Scott | Kansas | 20171 | 597 | 16 |
1022030 | 1022030 | 2021-02-12 | Sedgwick | Kansas | 20173 | 52423 | 445 |
1022031 | 1022031 | 2021-02-12 | Seward | Kansas | 20175 | 3859 | 29 |
1022032 | 1022032 | 2021-02-12 | Shawnee | Kansas | 20177 | 15824 | 316 |
1022033 | 1022033 | 2021-02-12 | Sheridan | Kansas | 20179 | 424 | 0 |
1022034 | 1022034 | 2021-02-12 | Sherman | Kansas | 20181 | 594 | 7 |
1022035 | 1022035 | 2021-02-12 | Smith | Kansas | 20183 | 265 | 2 |
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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);