⚠️ Consult the README for warnings about using and building on this data. Also review Why It’s So Freaking Hard To Make A Good COVID-19 Model and Ten Considerations Before You Create Another Chart About COVID-19.

Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette

397 rows where fips = 55025 sorted by date descending

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Suggested facets: date (date)

state

fips

  • 55025 · 397

county

Link rowid date ▲ county state fips cases deaths
1098864 2021-03-07 Dane Wisconsin 55025 42524 301
1095616 2021-03-06 Dane Wisconsin 55025 42470 301
1092370 2021-03-05 Dane Wisconsin 55025 42394 301
1089124 2021-03-04 Dane Wisconsin 55025 42346 301
1085879 2021-03-03 Dane Wisconsin 55025 42232 296
1082633 2021-03-02 Dane Wisconsin 55025 42169 296
1079387 2021-03-01 Dane Wisconsin 55025 42157 296
1076142 2021-02-28 Dane Wisconsin 55025 42100 296
1072896 2021-02-27 Dane Wisconsin 55025 42010 296
1069650 2021-02-26 Dane Wisconsin 55025 41844 296
1066405 2021-02-25 Dane Wisconsin 55025 41764 295
1063160 2021-02-24 Dane Wisconsin 55025 41685 295
1059915 2021-02-23 Dane Wisconsin 55025 41601 295
1056669 2021-02-22 Dane Wisconsin 55025 41556 289
1053423 2021-02-21 Dane Wisconsin 55025 41503 289
1050176 2021-02-20 Dane Wisconsin 55025 41416 289
1046929 2021-02-19 Dane Wisconsin 55025 41296 290
1043684 2021-02-18 Dane Wisconsin 55025 41134 289
1040439 2021-02-17 Dane Wisconsin 55025 40988 286
1037194 2021-02-16 Dane Wisconsin 55025 40905 286
1033949 2021-02-15 Dane Wisconsin 55025 40869 286
1030703 2021-02-14 Dane Wisconsin 55025 40822 286
1027456 2021-02-13 Dane Wisconsin 55025 40759 286
1024211 2021-02-12 Dane Wisconsin 55025 40680 286
1020966 2021-02-11 Dane Wisconsin 55025 40593 286
1017721 2021-02-10 Dane Wisconsin 55025 40447 285
1014476 2021-02-09 Dane Wisconsin 55025 40344 285
1011231 2021-02-08 Dane Wisconsin 55025 40302 277
1007985 2021-02-07 Dane Wisconsin 55025 40200 277
1004739 2021-02-06 Dane Wisconsin 55025 40120 277
1001493 2021-02-05 Dane Wisconsin 55025 40017 277
998247 2021-02-04 Dane Wisconsin 55025 39891 277
995001 2021-02-03 Dane Wisconsin 55025 39669 272
991755 2021-02-02 Dane Wisconsin 55025 39588 272
988509 2021-02-01 Dane Wisconsin 55025 39531 272
985262 2021-01-31 Dane Wisconsin 55025 39460 272
982015 2021-01-30 Dane Wisconsin 55025 39346 272
978769 2021-01-29 Dane Wisconsin 55025 39207 266
975524 2021-01-28 Dane Wisconsin 55025 39091 265
972279 2021-01-27 Dane Wisconsin 55025 38887 260
969034 2021-01-26 Dane Wisconsin 55025 38839 260
965790 2021-01-25 Dane Wisconsin 55025 38783 249
962545 2021-01-24 Dane Wisconsin 55025 38687 251
959300 2021-01-23 Dane Wisconsin 55025 38574 249
956054 2021-01-22 Dane Wisconsin 55025 38432 248
952809 2021-01-21 Dane Wisconsin 55025 38228 248
949564 2021-01-20 Dane Wisconsin 55025 38065 248
946318 2021-01-19 Dane Wisconsin 55025 38001 237
943071 2021-01-18 Dane Wisconsin 55025 37953 237
939826 2021-01-17 Dane Wisconsin 55025 37865 237
936581 2021-01-16 Dane Wisconsin 55025 37728 237
933336 2021-01-15 Dane Wisconsin 55025 37556 237
930091 2021-01-14 Dane Wisconsin 55025 37364 237
926846 2021-01-13 Dane Wisconsin 55025 37115 233
923600 2021-01-12 Dane Wisconsin 55025 36971 233
920355 2021-01-11 Dane Wisconsin 55025 36877 230
917110 2021-01-10 Dane Wisconsin 55025 36728 230
913865 2021-01-09 Dane Wisconsin 55025 36520 230
910620 2021-01-08 Dane Wisconsin 55025 36325 222
907375 2021-01-07 Dane Wisconsin 55025 35977 222
904129 2021-01-06 Dane Wisconsin 55025 35565 208
900884 2021-01-05 Dane Wisconsin 55025 35342 208
897639 2021-01-04 Dane Wisconsin 55025 35207 199
894393 2021-01-03 Dane Wisconsin 55025 35000 199
891147 2021-01-02 Dane Wisconsin 55025 34732 200
887900 2021-01-01 Dane Wisconsin 55025 34732 200
884655 2020-12-31 Dane Wisconsin 55025 34503 199
881410 2020-12-30 Dane Wisconsin 55025 34138 199
878165 2020-12-29 Dane Wisconsin 55025 33968 196
874920 2020-12-28 Dane Wisconsin 55025 33890 182
871675 2020-12-27 Dane Wisconsin 55025 33721 182
868430 2020-12-26 Dane Wisconsin 55025 33541 182
865185 2020-12-25 Dane Wisconsin 55025 33540 182
861940 2020-12-24 Dane Wisconsin 55025 33383 180
858695 2020-12-23 Dane Wisconsin 55025 33168 178
855450 2020-12-22 Dane Wisconsin 55025 33019 169
852205 2020-12-21 Dane Wisconsin 55025 32926 142
848960 2020-12-20 Dane Wisconsin 55025 32790 142
845715 2020-12-19 Dane Wisconsin 55025 32675 142
842469 2020-12-18 Dane Wisconsin 55025 32454 142
839224 2020-12-17 Dane Wisconsin 55025 32200 142
835979 2020-12-16 Dane Wisconsin 55025 31910 142
832733 2020-12-15 Dane Wisconsin 55025 31739 120
829486 2020-12-14 Dane Wisconsin 55025 31693 117
826240 2020-12-13 Dane Wisconsin 55025 31508 117
822993 2020-12-12 Dane Wisconsin 55025 31287 116
819747 2020-12-11 Dane Wisconsin 55025 31028 116
816501 2020-12-10 Dane Wisconsin 55025 30847 112
813255 2020-12-09 Dane Wisconsin 55025 30571 111
810011 2020-12-08 Dane Wisconsin 55025 30375 110
806766 2020-12-07 Dane Wisconsin 55025 30249 107
803521 2020-12-06 Dane Wisconsin 55025 30001 107
800276 2020-12-05 Dane Wisconsin 55025 29868 107
797031 2020-12-04 Dane Wisconsin 55025 29493 105
793786 2020-12-03 Dane Wisconsin 55025 29068 105
790541 2020-12-02 Dane Wisconsin 55025 28618 105
787296 2020-12-01 Dane Wisconsin 55025 28370 84
784052 2020-11-30 Dane Wisconsin 55025 28265 83
780807 2020-11-29 Dane Wisconsin 55025 28017 83
777561 2020-11-28 Dane Wisconsin 55025 27619 83

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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]);