ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
100 rows where "date" is on date 2022-04-10 and state = "Iowa" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
fips >30
county >30
- Adair 1
- Adams 1
- Allamakee 1
- Appanoose 1
- Audubon 1
- Benton 1
- Black Hawk 1
- Boone 1
- Bremer 1
- Buchanan 1
- Buena Vista 1
- Butler 1
- Calhoun 1
- Carroll 1
- Cass 1
- Cedar 1
- Cerro Gordo 1
- Cherokee 1
- Chickasaw 1
- Clarke 1
- Clay 1
- Clayton 1
- Clinton 1
- Crawford 1
- Dallas 1
- Davis 1
- Decatur 1
- Delaware 1
- Des Moines 1
- Dickinson 1
- …
state 1
- Iowa · 100 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2392913 | 2392913 | 2022-04-10 | Adair | Iowa | 19001 | 1583 | 50 |
2392914 | 2392914 | 2022-04-10 | Adams | Iowa | 19003 | 818 | 13 |
2392915 | 2392915 | 2022-04-10 | Allamakee | Iowa | 19005 | 2866 | 59 |
2392916 | 2392916 | 2022-04-10 | Appanoose | Iowa | 19007 | 2906 | 68 |
2392917 | 2392917 | 2022-04-10 | Audubon | Iowa | 19009 | 1099 | 19 |
2392918 | 2392918 | 2022-04-10 | Benton | Iowa | 19011 | 6015 | 77 |
2392919 | 2392919 | 2022-04-10 | Black Hawk | Iowa | 19013 | 32730 | 472 |
2392920 | 2392920 | 2022-04-10 | Boone | Iowa | 19015 | 5454 | 54 |
2392921 | 2392921 | 2022-04-10 | Bremer | Iowa | 19017 | 5488 | 82 |
2392922 | 2392922 | 2022-04-10 | Buchanan | Iowa | 19019 | 4578 | 58 |
2392923 | 2392923 | 2022-04-10 | Buena Vista | Iowa | 19021 | 6428 | 57 |
2392924 | 2392924 | 2022-04-10 | Butler | Iowa | 19023 | 3220 | 53 |
2392925 | 2392925 | 2022-04-10 | Calhoun | Iowa | 19025 | 2595 | 24 |
2392926 | 2392926 | 2022-04-10 | Carroll | Iowa | 19027 | 4928 | 65 |
2392927 | 2392927 | 2022-04-10 | Cass | Iowa | 19029 | 2955 | 77 |
2392928 | 2392928 | 2022-04-10 | Cedar | Iowa | 19031 | 4139 | 35 |
2392929 | 2392929 | 2022-04-10 | Cerro Gordo | Iowa | 19033 | 11084 | 168 |
2392930 | 2392930 | 2022-04-10 | Cherokee | Iowa | 19035 | 2962 | 61 |
2392931 | 2392931 | 2022-04-10 | Chickasaw | Iowa | 19037 | 2676 | 32 |
2392932 | 2392932 | 2022-04-10 | Clarke | Iowa | 19039 | 2262 | 37 |
2392933 | 2392933 | 2022-04-10 | Clay | Iowa | 19041 | 4094 | 44 |
2392934 | 2392934 | 2022-04-10 | Clayton | Iowa | 19043 | 3467 | 72 |
2392935 | 2392935 | 2022-04-10 | Clinton | Iowa | 19045 | 11513 | 144 |
2392936 | 2392936 | 2022-04-10 | Crawford | Iowa | 19047 | 4526 | 53 |
2392937 | 2392937 | 2022-04-10 | Dallas | Iowa | 19049 | 23008 | 143 |
2392938 | 2392938 | 2022-04-10 | Davis | Iowa | 19051 | 1596 | 32 |
2392939 | 2392939 | 2022-04-10 | Decatur | Iowa | 19053 | 1510 | 26 |
2392940 | 2392940 | 2022-04-10 | Delaware | Iowa | 19055 | 4013 | 68 |
2392941 | 2392941 | 2022-04-10 | Des Moines | Iowa | 19057 | 9115 | 136 |
2392942 | 2392942 | 2022-04-10 | Dickinson | Iowa | 19059 | 4127 | 72 |
2392943 | 2392943 | 2022-04-10 | Dubuque | Iowa | 19061 | 25922 | 294 |
2392944 | 2392944 | 2022-04-10 | Emmet | Iowa | 19063 | 2351 | 51 |
2392945 | 2392945 | 2022-04-10 | Fayette | Iowa | 19065 | 4087 | 72 |
2392946 | 2392946 | 2022-04-10 | Floyd | Iowa | 19067 | 3552 | 62 |
2392947 | 2392947 | 2022-04-10 | Franklin | Iowa | 19069 | 2513 | 41 |
2392948 | 2392948 | 2022-04-10 | Fremont | Iowa | 19071 | 1374 | 25 |
2392949 | 2392949 | 2022-04-10 | Greene | Iowa | 19073 | 1736 | 21 |
2392950 | 2392950 | 2022-04-10 | Grundy | Iowa | 19075 | 2554 | 42 |
2392951 | 2392951 | 2022-04-10 | Guthrie | Iowa | 19077 | 2349 | 45 |
2392952 | 2392952 | 2022-04-10 | Hamilton | Iowa | 19079 | 3479 | 72 |
2392953 | 2392953 | 2022-04-10 | Hancock | Iowa | 19081 | 2838 | 47 |
2392954 | 2392954 | 2022-04-10 | Hardin | Iowa | 19083 | 4119 | 62 |
2392955 | 2392955 | 2022-04-10 | Harrison | Iowa | 19085 | 3428 | 94 |
2392956 | 2392956 | 2022-04-10 | Henry | Iowa | 19087 | 5557 | 73 |
2392957 | 2392957 | 2022-04-10 | Howard | Iowa | 19089 | 2042 | 35 |
2392958 | 2392958 | 2022-04-10 | Humboldt | Iowa | 19091 | 2610 | 38 |
2392959 | 2392959 | 2022-04-10 | Ida | Iowa | 19093 | 1803 | 49 |
2392960 | 2392960 | 2022-04-10 | Iowa | Iowa | 19095 | 3672 | 50 |
2392961 | 2392961 | 2022-04-10 | Jackson | Iowa | 19097 | 4600 | 68 |
2392962 | 2392962 | 2022-04-10 | Jasper | Iowa | 19099 | 8639 | 108 |
2392963 | 2392963 | 2022-04-10 | Jefferson | Iowa | 19101 | 3470 | 51 |
2392964 | 2392964 | 2022-04-10 | Johnson | Iowa | 19103 | 34048 | 150 |
2392965 | 2392965 | 2022-04-10 | Jones | Iowa | 19105 | 5451 | 73 |
2392966 | 2392966 | 2022-04-10 | Keokuk | Iowa | 19107 | 2055 | 48 |
2392967 | 2392967 | 2022-04-10 | Kossuth | Iowa | 19109 | 3769 | 88 |
2392968 | 2392968 | 2022-04-10 | Lee | Iowa | 19111 | 7848 | 141 |
2392969 | 2392969 | 2022-04-10 | Linn | Iowa | 19113 | 52070 | 579 |
2392970 | 2392970 | 2022-04-10 | Louisa | Iowa | 19115 | 2476 | 62 |
2392971 | 2392971 | 2022-04-10 | Lucas | Iowa | 19117 | 1752 | 32 |
2392972 | 2392972 | 2022-04-10 | Lyon | Iowa | 19119 | 2727 | 50 |
2392973 | 2392973 | 2022-04-10 | Madison | Iowa | 19121 | 3147 | 39 |
2392974 | 2392974 | 2022-04-10 | Mahaska | Iowa | 19123 | 4892 | 87 |
2392975 | 2392975 | 2022-04-10 | Marion | Iowa | 19125 | 7562 | 122 |
2392976 | 2392976 | 2022-04-10 | Marshall | Iowa | 19127 | 9407 | 110 |
2392977 | 2392977 | 2022-04-10 | Mills | Iowa | 19129 | 3345 | 41 |
2392978 | 2392978 | 2022-04-10 | Mitchell | Iowa | 19131 | 2469 | 49 |
2392979 | 2392979 | 2022-04-10 | Monona | Iowa | 19133 | 1719 | 48 |
2392980 | 2392980 | 2022-04-10 | Monroe | Iowa | 19135 | 1879 | 49 |
2392981 | 2392981 | 2022-04-10 | Montgomery | Iowa | 19137 | 2208 | 52 |
2392982 | 2392982 | 2022-04-10 | Muscatine | Iowa | 19139 | 9595 | 130 |
2392983 | 2392983 | 2022-04-10 | O'Brien | Iowa | 19141 | 3442 | 71 |
2392984 | 2392984 | 2022-04-10 | Osceola | Iowa | 19143 | 1394 | 22 |
2392985 | 2392985 | 2022-04-10 | Page | Iowa | 19145 | 3334 | 45 |
2392986 | 2392986 | 2022-04-10 | Palo Alto | Iowa | 19147 | 2036 | 38 |
2392987 | 2392987 | 2022-04-10 | Plymouth | Iowa | 19149 | 6320 | 100 |
2392988 | 2392988 | 2022-04-10 | Pocahontas | Iowa | 19151 | 1598 | 27 |
2392989 | 2392989 | 2022-04-10 | Polk | Iowa | 19153 | 124657 | 1089 |
2392990 | 2392990 | 2022-04-10 | Pottawattamie | Iowa | 19155 | 24261 | 315 |
2392991 | 2392991 | 2022-04-10 | Poweshiek | Iowa | 19157 | 3601 | 61 |
2392992 | 2392992 | 2022-04-10 | Ringgold | Iowa | 19159 | 1134 | 33 |
2392993 | 2392993 | 2022-04-10 | Sac | Iowa | 19161 | 2402 | 32 |
2392994 | 2392994 | 2022-04-10 | Scott | Iowa | 19163 | 41009 | 389 |
2392995 | 2392995 | 2022-04-10 | Shelby | Iowa | 19165 | 2712 | 50 |
2392996 | 2392996 | 2022-04-10 | Sioux | Iowa | 19167 | 7981 | 86 |
2392997 | 2392997 | 2022-04-10 | Story | Iowa | 19169 | 19759 | 89 |
2392998 | 2392998 | 2022-04-10 | Tama | Iowa | 19171 | 3860 | 90 |
2392999 | 2392999 | 2022-04-10 | Taylor | Iowa | 19173 | 1318 | 21 |
2393000 | 2393000 | 2022-04-10 | Union | Iowa | 19175 | 2715 | 49 |
2393001 | 2393001 | 2022-04-10 | Unknown | Iowa | 351 | 0 | |
2393002 | 2393002 | 2022-04-10 | Van Buren | Iowa | 19177 | 1382 | 27 |
2393003 | 2393003 | 2022-04-10 | Wapello | Iowa | 19179 | 8969 | 200 |
2393004 | 2393004 | 2022-04-10 | Warren | Iowa | 19181 | 12486 | 134 |
2393005 | 2393005 | 2022-04-10 | Washington | Iowa | 19183 | 5625 | 77 |
2393006 | 2393006 | 2022-04-10 | Wayne | Iowa | 19185 | 1264 | 33 |
2393007 | 2393007 | 2022-04-10 | Webster | Iowa | 19187 | 10326 | 163 |
2393008 | 2393008 | 2022-04-10 | Winnebago | Iowa | 19189 | 2951 | 46 |
2393009 | 2393009 | 2022-04-10 | Winneshiek | Iowa | 19191 | 3818 | 50 |
2393010 | 2393010 | 2022-04-10 | Woodbury | Iowa | 19193 | 28782 | 337 |
2393011 | 2393011 | 2022-04-10 | Worth | Iowa | 19195 | 1754 | 16 |
2393012 | 2393012 | 2022-04-10 | Wright | Iowa | 19197 | 3611 | 63 |
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);