⚠️ 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

344 rows where fips = 55025 sorted by date descending

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Suggested facets: date (date)

state

fips

  • 55025 · 344

county

Link rowid date ▲ county state fips cases deaths
926926 2021-01-13 Dane Wisconsin 55025 37115 233
923680 2021-01-12 Dane Wisconsin 55025 36971 233
920435 2021-01-11 Dane Wisconsin 55025 36877 230
917190 2021-01-10 Dane Wisconsin 55025 36728 230
913945 2021-01-09 Dane Wisconsin 55025 36520 230
910700 2021-01-08 Dane Wisconsin 55025 36325 222
907455 2021-01-07 Dane Wisconsin 55025 35977 222
904209 2021-01-06 Dane Wisconsin 55025 35565 208
900964 2021-01-05 Dane Wisconsin 55025 35342 208
897719 2021-01-04 Dane Wisconsin 55025 35207 199
894473 2021-01-03 Dane Wisconsin 55025 35000 199
891227 2021-01-02 Dane Wisconsin 55025 34732 200
887980 2021-01-01 Dane Wisconsin 55025 34732 200
884735 2020-12-31 Dane Wisconsin 55025 34503 199
881490 2020-12-30 Dane Wisconsin 55025 34138 199
878245 2020-12-29 Dane Wisconsin 55025 33968 196
875000 2020-12-28 Dane Wisconsin 55025 33890 182
871755 2020-12-27 Dane Wisconsin 55025 33721 182
868510 2020-12-26 Dane Wisconsin 55025 33541 182
865265 2020-12-25 Dane Wisconsin 55025 33540 182
862020 2020-12-24 Dane Wisconsin 55025 33383 180
858775 2020-12-23 Dane Wisconsin 55025 33168 178
855530 2020-12-22 Dane Wisconsin 55025 33019 169
852285 2020-12-21 Dane Wisconsin 55025 32926 142
849040 2020-12-20 Dane Wisconsin 55025 32790 142
845795 2020-12-19 Dane Wisconsin 55025 32675 142
842549 2020-12-18 Dane Wisconsin 55025 32454 142
839304 2020-12-17 Dane Wisconsin 55025 32200 142
836059 2020-12-16 Dane Wisconsin 55025 31910 142
832813 2020-12-15 Dane Wisconsin 55025 31739 120
829566 2020-12-14 Dane Wisconsin 55025 31693 117
826320 2020-12-13 Dane Wisconsin 55025 31508 117
823073 2020-12-12 Dane Wisconsin 55025 31287 116
819827 2020-12-11 Dane Wisconsin 55025 31028 116
816581 2020-12-10 Dane Wisconsin 55025 30847 112
813335 2020-12-09 Dane Wisconsin 55025 30571 111
810091 2020-12-08 Dane Wisconsin 55025 30375 110
806846 2020-12-07 Dane Wisconsin 55025 30249 107
803601 2020-12-06 Dane Wisconsin 55025 30001 107
800355 2020-12-05 Dane Wisconsin 55025 29868 107
797109 2020-12-04 Dane Wisconsin 55025 29493 105
793864 2020-12-03 Dane Wisconsin 55025 29068 105
790618 2020-12-02 Dane Wisconsin 55025 28618 105
787372 2020-12-01 Dane Wisconsin 55025 28370 84
784128 2020-11-30 Dane Wisconsin 55025 28265 83
780883 2020-11-29 Dane Wisconsin 55025 28017 83
777637 2020-11-28 Dane Wisconsin 55025 27619 83
774391 2020-11-27 Dane Wisconsin 55025 27164 83
771146 2020-11-26 Dane Wisconsin 55025 27120 83
767899 2020-11-25 Dane Wisconsin 55025 26727 80
764653 2020-11-24 Dane Wisconsin 55025 26485 80
761407 2020-11-23 Dane Wisconsin 55025 25722 78
758161 2020-11-22 Dane Wisconsin 55025 25554 78
754914 2020-11-21 Dane Wisconsin 55025 25345 78
751667 2020-11-20 Dane Wisconsin 55025 24973 74
748420 2020-11-19 Dane Wisconsin 55025 24519 71
745173 2020-11-18 Dane Wisconsin 55025 24105 70
741926 2020-11-17 Dane Wisconsin 55025 23546 66
738679 2020-11-16 Dane Wisconsin 55025 22839 63
735434 2020-11-15 Dane Wisconsin 55025 22337 63
732188 2020-11-14 Dane Wisconsin 55025 21965 63
728943 2020-11-13 Dane Wisconsin 55025 21670 63
725699 2020-11-12 Dane Wisconsin 55025 21201 59
722455 2020-11-11 Dane Wisconsin 55025 20572 58
719211 2020-11-10 Dane Wisconsin 55025 20116 58
715967 2020-11-09 Dane Wisconsin 55025 19418 57
712723 2020-11-08 Dane Wisconsin 55025 19144 57
709479 2020-11-07 Dane Wisconsin 55025 18884 57
706235 2020-11-06 Dane Wisconsin 55025 18413 55
702992 2020-11-05 Dane Wisconsin 55025 17893 52
699748 2020-11-04 Dane Wisconsin 55025 17563 53
696503 2020-11-03 Dane Wisconsin 55025 17372 51
693260 2020-11-02 Dane Wisconsin 55025 16791 51
690016 2020-11-01 Dane Wisconsin 55025 16593 51
686771 2020-10-31 Dane Wisconsin 55025 16418 50
683527 2020-10-30 Dane Wisconsin 55025 16094 50
680283 2020-10-29 Dane Wisconsin 55025 15720 51
677040 2020-10-28 Dane Wisconsin 55025 15492 50
673796 2020-10-27 Dane Wisconsin 55025 15106 49
670554 2020-10-26 Dane Wisconsin 55025 14843 49
667311 2020-10-25 Dane Wisconsin 55025 14662 49
664065 2020-10-24 Dane Wisconsin 55025 14368 49
660820 2020-10-23 Dane Wisconsin 55025 14085 48
657576 2020-10-22 Dane Wisconsin 55025 13840 48
654331 2020-10-21 Dane Wisconsin 55025 13639 47
651086 2020-10-20 Dane Wisconsin 55025 13362 47
647842 2020-10-19 Dane Wisconsin 55025 13052 47
644596 2020-10-18 Dane Wisconsin 55025 12826 46
641348 2020-10-17 Dane Wisconsin 55025 12826 46
638101 2020-10-16 Dane Wisconsin 55025 12826 46
634856 2020-10-15 Dane Wisconsin 55025 12593 46
631611 2020-10-14 Dane Wisconsin 55025 12370 46
628367 2020-10-13 Dane Wisconsin 55025 12194 45
625124 2020-10-12 Dane Wisconsin 55025 12075 44
621881 2020-10-11 Dane Wisconsin 55025 11905 44
618638 2020-10-10 Dane Wisconsin 55025 11722 44
615396 2020-10-09 Dane Wisconsin 55025 11514 43
612155 2020-10-08 Dane Wisconsin 55025 11319 43
608913 2020-10-07 Dane Wisconsin 55025 11209 43
605670 2020-10-06 Dane Wisconsin 55025 11146 43

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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]);