ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
829 rows where fips = 55025 sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases, date (date)
deaths 213 ✖
- 0 49
- 338 30
- 32 22
- 41 20
- 33 18
- 22 16
- 340 16
- 39 14
- 509 13
- 40 12
- 311 11
- 409 11
- 29 10
- 43 10
- 484 10
- 313 9
- 312 8
- 333 8
- 335 8
- 351 8
- 380 8
- 26 7
- 37 7
- 38 7
- 286 7
- 325 7
- 341 7
- 343 7
- 359 7
- 386 7
- 502 7
- 507 7
- 142 6
- 237 6
- 296 6
- 301 6
- 303 6
- 329 6
- 331 6
- 336 6
- 388 6
- 470 6
- 1 5
- 21 5
- 25 5
- 30 5
- 46 5
- 83 5
- 272 5
- 277 5
- 339 5
- 348 5
- 349 5
- 369 5
- 371 5
- 375 5
- 382 5
- 398 5
- 12 4
- 20 4
- 49 4
- 51 4
- 63 4
- 182 4
- 199 4
- 289 4
- 315 4
- 318 4
- 332 4
- 342 4
- 357 4
- 399 4
- 456 4
- 497 4
- 503 4
- 506 4
- 2 3
- 11 3
- 31 3
- 35 3
- 44 3
- 47 3
- 50 3
- 57 3
- 78 3
- 105 3
- 107 3
- 230 3
- 248 3
- 295 3
- 305 3
- 316 3
- 327 3
- 330 3
- 350 3
- 355 3
- 356 3
- 364 3
- 423 3
- 430 3
- 443 3
- 463 3
- 478 3
- 490 3
- 491 3
- 512 3
- 8 2
- 16 2
- 27 2
- 48 2
- 58 2
- 80 2
- 116 2
- 117 2
- 200 2
- 208 2
- 222 2
- 233 2
- 249 2
- 260 2
- 285 2
- 322 2
- 346 2
- 363 2
- 370 2
- 373 2
- 387 2
- 428 2
- 433 2
- 464 2
- 480 2
- 498 2
- 500 2
- 505 2
- 508 2
- 511 2
- 515 2
- 516 2
- 3 1
- 4 1
- 9 1
- 13 1
- 15 1
- 17 1
- 23 1
- 28 1
- 34 1
- 42 1
- 45 1
- 52 1
- 53 1
- 55 1
- 59 1
- 66 1
- 70 1
- 71 1
- 74 1
- 84 1
- 110 1
- 111 1
- 112 1
- 120 1
- 169 1
- 178 1
- 180 1
- 196 1
- 251 1
- 265 1
- 266 1
- 290 1
- 302 1
- 320 1
- 328 1
- 334 1
- 344 1
- 358 1
- 365 1
- 366 1
- 368 1
- 374 1
- 381 1
- 393 1
- 395 1
- 397 1
- 401 1
- 402 1
- 404 1
- 406 1
- 416 1
- 420 1
- 421 1
- 425 1
- 427 1
- 434 1
- 439 1
- 448 1
- 450 1
- 452 1
- 453 1
- 457 1
- 458 1
- 460 1
- 465 1
- 471 1
- 479 1
- 483 1
- 485 1
- 488 1
- 489 1
- 493 1
- 495 1
- 510 1
- 514 1
state 1
- Wisconsin 829
fips 1
- 55025 · 829 ✖
county 1
- Dane 829
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2502750 | 2502750 | 2022-05-13 | Dane | Wisconsin | 55025 | 134580 | 516 |
2499492 | 2499492 | 2022-05-12 | Dane | Wisconsin | 55025 | 134092 | 516 |
2496234 | 2496234 | 2022-05-11 | Dane | Wisconsin | 55025 | 133471 | 515 |
2492976 | 2492976 | 2022-05-10 | Dane | Wisconsin | 55025 | 133070 | 515 |
2489718 | 2489718 | 2022-05-09 | Dane | Wisconsin | 55025 | 132700 | 514 |
2486461 | 2486461 | 2022-05-08 | Dane | Wisconsin | 55025 | 131833 | 512 |
2483203 | 2483203 | 2022-05-07 | Dane | Wisconsin | 55025 | 131833 | 512 |
2479945 | 2479945 | 2022-05-06 | Dane | Wisconsin | 55025 | 131833 | 512 |
2476687 | 2476687 | 2022-05-05 | Dane | Wisconsin | 55025 | 131339 | 511 |
2473429 | 2473429 | 2022-05-04 | Dane | Wisconsin | 55025 | 130825 | 511 |
2470172 | 2470172 | 2022-05-03 | Dane | Wisconsin | 55025 | 130319 | 510 |
2466916 | 2466916 | 2022-05-02 | Dane | Wisconsin | 55025 | 130123 | 509 |
2463661 | 2463661 | 2022-05-01 | Dane | Wisconsin | 55025 | 129500 | 509 |
2460405 | 2460405 | 2022-04-30 | Dane | Wisconsin | 55025 | 129500 | 509 |
2457149 | 2457149 | 2022-04-29 | Dane | Wisconsin | 55025 | 129500 | 509 |
2453893 | 2453893 | 2022-04-28 | Dane | Wisconsin | 55025 | 129179 | 509 |
2450637 | 2450637 | 2022-04-27 | Dane | Wisconsin | 55025 | 128805 | 509 |
2447381 | 2447381 | 2022-04-26 | Dane | Wisconsin | 55025 | 128504 | 509 |
2444125 | 2444125 | 2022-04-25 | Dane | Wisconsin | 55025 | 128380 | 509 |
2440869 | 2440869 | 2022-04-24 | Dane | Wisconsin | 55025 | 127716 | 509 |
2437613 | 2437613 | 2022-04-23 | Dane | Wisconsin | 55025 | 127716 | 509 |
2434357 | 2434357 | 2022-04-22 | Dane | Wisconsin | 55025 | 127716 | 509 |
2431101 | 2431101 | 2022-04-21 | Dane | Wisconsin | 55025 | 127449 | 509 |
2427845 | 2427845 | 2022-04-20 | Dane | Wisconsin | 55025 | 127141 | 509 |
2424589 | 2424589 | 2022-04-19 | Dane | Wisconsin | 55025 | 126762 | 508 |
2421333 | 2421333 | 2022-04-18 | Dane | Wisconsin | 55025 | 126675 | 508 |
2418077 | 2418077 | 2022-04-17 | Dane | Wisconsin | 55025 | 126317 | 507 |
2414821 | 2414821 | 2022-04-16 | Dane | Wisconsin | 55025 | 126317 | 507 |
2411565 | 2411565 | 2022-04-15 | Dane | Wisconsin | 55025 | 126317 | 507 |
2408309 | 2408309 | 2022-04-14 | Dane | Wisconsin | 55025 | 126142 | 507 |
2405053 | 2405053 | 2022-04-13 | Dane | Wisconsin | 55025 | 125944 | 507 |
2401798 | 2401798 | 2022-04-12 | Dane | Wisconsin | 55025 | 125755 | 507 |
2398543 | 2398543 | 2022-04-11 | Dane | Wisconsin | 55025 | 125613 | 507 |
2395288 | 2395288 | 2022-04-10 | Dane | Wisconsin | 55025 | 125315 | 506 |
2392032 | 2392032 | 2022-04-09 | Dane | Wisconsin | 55025 | 125315 | 506 |
2388776 | 2388776 | 2022-04-08 | Dane | Wisconsin | 55025 | 125315 | 506 |
2385521 | 2385521 | 2022-04-07 | Dane | Wisconsin | 55025 | 125014 | 506 |
2382266 | 2382266 | 2022-04-06 | Dane | Wisconsin | 55025 | 124940 | 505 |
2379011 | 2379011 | 2022-04-05 | Dane | Wisconsin | 55025 | 124740 | 505 |
2375757 | 2375757 | 2022-04-04 | Dane | Wisconsin | 55025 | 124691 | 503 |
2372505 | 2372505 | 2022-04-03 | Dane | Wisconsin | 55025 | 124422 | 503 |
2369252 | 2369252 | 2022-04-02 | Dane | Wisconsin | 55025 | 124422 | 503 |
2365999 | 2365999 | 2022-04-01 | Dane | Wisconsin | 55025 | 124422 | 503 |
2362746 | 2362746 | 2022-03-31 | Dane | Wisconsin | 55025 | 124293 | 502 |
2359492 | 2359492 | 2022-03-30 | Dane | Wisconsin | 55025 | 124182 | 502 |
2356238 | 2356238 | 2022-03-29 | Dane | Wisconsin | 55025 | 124034 | 502 |
2352985 | 2352985 | 2022-03-28 | Dane | Wisconsin | 55025 | 123936 | 502 |
2349733 | 2349733 | 2022-03-27 | Dane | Wisconsin | 55025 | 123753 | 502 |
2346480 | 2346480 | 2022-03-26 | Dane | Wisconsin | 55025 | 123753 | 502 |
2343227 | 2343227 | 2022-03-25 | Dane | Wisconsin | 55025 | 123753 | 502 |
2339974 | 2339974 | 2022-03-24 | Dane | Wisconsin | 55025 | 123653 | 500 |
2336721 | 2336721 | 2022-03-23 | Dane | Wisconsin | 55025 | 123552 | 500 |
2333467 | 2333467 | 2022-03-22 | Dane | Wisconsin | 55025 | 123451 | 498 |
2330213 | 2330213 | 2022-03-21 | Dane | Wisconsin | 55025 | 123400 | 498 |
2326961 | 2326961 | 2022-03-20 | Dane | Wisconsin | 55025 | 123244 | 497 |
2323708 | 2323708 | 2022-03-19 | Dane | Wisconsin | 55025 | 123244 | 497 |
2320454 | 2320454 | 2022-03-18 | Dane | Wisconsin | 55025 | 123244 | 497 |
2317200 | 2317200 | 2022-03-17 | Dane | Wisconsin | 55025 | 123175 | 497 |
2313947 | 2313947 | 2022-03-16 | Dane | Wisconsin | 55025 | 123089 | 495 |
2310694 | 2310694 | 2022-03-15 | Dane | Wisconsin | 55025 | 122997 | 493 |
2307441 | 2307441 | 2022-03-14 | Dane | Wisconsin | 55025 | 122935 | 491 |
2304190 | 2304190 | 2022-03-13 | Dane | Wisconsin | 55025 | 122823 | 490 |
2300938 | 2300938 | 2022-03-12 | Dane | Wisconsin | 55025 | 122823 | 490 |
2297686 | 2297686 | 2022-03-11 | Dane | Wisconsin | 55025 | 122823 | 490 |
2294434 | 2294434 | 2022-03-10 | Dane | Wisconsin | 55025 | 122746 | 491 |
2291182 | 2291182 | 2022-03-09 | Dane | Wisconsin | 55025 | 122671 | 491 |
2287930 | 2287930 | 2022-03-08 | Dane | Wisconsin | 55025 | 122574 | 489 |
2284678 | 2284678 | 2022-03-07 | Dane | Wisconsin | 55025 | 122531 | 488 |
2281426 | 2281426 | 2022-03-06 | Dane | Wisconsin | 55025 | 122344 | 484 |
2278173 | 2278173 | 2022-03-05 | Dane | Wisconsin | 55025 | 122344 | 484 |
2274920 | 2274920 | 2022-03-04 | Dane | Wisconsin | 55025 | 122344 | 484 |
2271667 | 2271667 | 2022-03-03 | Dane | Wisconsin | 55025 | 122271 | 484 |
2268415 | 2268415 | 2022-03-02 | Dane | Wisconsin | 55025 | 122207 | 484 |
2265162 | 2265162 | 2022-03-01 | Dane | Wisconsin | 55025 | 122124 | 485 |
2261912 | 2261912 | 2022-02-28 | Dane | Wisconsin | 55025 | 122061 | 484 |
2258661 | 2258661 | 2022-02-27 | Dane | Wisconsin | 55025 | 121841 | 484 |
2255410 | 2255410 | 2022-02-26 | Dane | Wisconsin | 55025 | 121841 | 484 |
2252159 | 2252159 | 2022-02-25 | Dane | Wisconsin | 55025 | 121841 | 484 |
2248908 | 2248908 | 2022-02-24 | Dane | Wisconsin | 55025 | 121742 | 484 |
2245657 | 2245657 | 2022-02-23 | Dane | Wisconsin | 55025 | 121649 | 483 |
2242406 | 2242406 | 2022-02-22 | Dane | Wisconsin | 55025 | 121528 | 480 |
2239155 | 2239155 | 2022-02-21 | Dane | Wisconsin | 55025 | 121411 | 479 |
2235904 | 2235904 | 2022-02-20 | Dane | Wisconsin | 55025 | 121074 | 478 |
2232653 | 2232653 | 2022-02-19 | Dane | Wisconsin | 55025 | 121074 | 478 |
2229402 | 2229402 | 2022-02-18 | Dane | Wisconsin | 55025 | 121074 | 478 |
2226151 | 2226151 | 2022-02-17 | Dane | Wisconsin | 55025 | 120936 | 480 |
2222900 | 2222900 | 2022-02-16 | Dane | Wisconsin | 55025 | 120748 | 470 |
2219649 | 2219649 | 2022-02-15 | Dane | Wisconsin | 55025 | 120472 | 470 |
2216399 | 2216399 | 2022-02-14 | Dane | Wisconsin | 55025 | 120318 | 471 |
2213148 | 2213148 | 2022-02-13 | Dane | Wisconsin | 55025 | 119722 | 470 |
2209895 | 2209895 | 2022-02-12 | Dane | Wisconsin | 55025 | 119722 | 470 |
2206642 | 2206642 | 2022-02-11 | Dane | Wisconsin | 55025 | 119722 | 470 |
2203389 | 2203389 | 2022-02-10 | Dane | Wisconsin | 55025 | 119388 | 470 |
2200135 | 2200135 | 2022-02-09 | Dane | Wisconsin | 55025 | 119004 | 465 |
2196881 | 2196881 | 2022-02-08 | Dane | Wisconsin | 55025 | 118599 | 464 |
2193626 | 2193626 | 2022-02-07 | Dane | Wisconsin | 55025 | 118303 | 464 |
2190373 | 2190373 | 2022-02-06 | Dane | Wisconsin | 55025 | 117382 | 463 |
2187120 | 2187120 | 2022-02-05 | Dane | Wisconsin | 55025 | 117382 | 463 |
2183867 | 2183867 | 2022-02-04 | Dane | Wisconsin | 55025 | 117382 | 463 |
2180615 | 2180615 | 2022-02-03 | Dane | Wisconsin | 55025 | 116927 | 460 |
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);