ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
3,124 rows where county = "Ottawa" sorted by date descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
deaths 322 ✖
- 0 475
- 13 127
- 2 101
- 30 93
- 81 91
- 14 85
- 16 76
- 15 66
- 17 49
- 138 44
- 34 40
- 106 39
- 101 38
- 51 36
- 70 36
- 4 35
- 78 35
- 72 31
- 86 31
- 24 30
- 82 29
- 22 27
- 25 26
- 1 25
- 66 25
- 133 25
- 67 24
- 64 23
- 136 23
- 3 22
- 32 22
- 83 22
- 85 22
- 104 20
- 124 20
- 69 19
- 84 19
- 121 19
- 50 18
- 21 17
- 28 17
- 126 17
- 7 16
- 127 16
- 53 15
- 62 15
- 76 15
- 87 15
- 8 14
- 65 14
- 112 14
- 442 14
- 786 14
- 23 13
- 26 13
- 9 12
- 46 12
- 63 12
- 79 12
- 441 12
- 444 12
- 783 12
- 29 11
- 33 11
- 73 11
- 75 11
- 90 11
- 123 11
- 782 11
- 48 10
- 77 10
- 19 9
- 27 9
- 43 9
- 360 9
- 54 8
- 89 8
- 98 8
- 111 8
- 6 7
- 40 7
- 99 7
- 100 7
- 102 7
- 108 7
- 109 7
- 110 7
- 114 7
- 115 7
- 122 7
- 344 7
- 347 7
- 431 7
- 447 7
- 448 7
- 781 7
- 788 7
- 12 6
- 52 6
- 56 6
- 59 6
- 357 6
- 452 6
- 35 5
- 38 5
- 45 5
- 91 5
- 96 5
- 120 5
- 435 5
- 440 5
- 483 5
- 505 5
- 544 5
- 557 5
- 629 5
- 646 5
- 672 5
- 689 5
- 768 5
- 777 5
- 784 5
- 41 4
- 71 4
- 107 4
- 116 4
- 125 4
- 129 4
- 130 4
- 361 4
- 390 4
- 405 4
- 417 4
- 424 4
- 439 4
- 459 4
- 759 4
- 5 3
- 31 3
- 39 3
- 47 3
- 97 3
- 118 3
- 272 3
- 338 3
- 352 3
- 359 3
- 383 3
- 398 3
- 408 3
- 425 3
- 428 3
- 443 3
- 449 3
- 456 3
- 462 3
- 469 3
- 477 3
- 489 3
- 499 3
- 513 3
- 527 3
- 573 3
- 598 3
- 617 3
- 707 3
- 722 3
- 738 3
- 752 3
- 762 3
- 773 3
- 785 3
- 18 2
- 20 2
- 44 2
- 49 2
- 55 2
- 60 2
- 134 2
- 151 2
- 178 2
- 214 2
- 241 2
- 253 2
- 262 2
- 277 2
- 296 2
- 307 2
- 308 2
- 312 2
- 317 2
- 324 2
- 327 2
- 334 2
- 336 2
- 337 2
- 350 2
- 358 2
- 364 2
- 370 2
- 375 2
- 377 2
- 387 2
- 391 2
- 404 2
- 406 2
- 445 2
- 451 2
- 454 2
- 465 2
- 467 2
- 472 2
- 475 2
- 479 2
- 480 2
- 488 2
- 492 2
- 497 2
- 501 2
- 507 2
- 509 2
- 514 2
- 522 2
- 530 2
- 536 2
- 562 2
- 572 2
- 579 2
- 595 2
- 600 2
- 609 2
- 622 2
- 641 2
- 658 2
- 665 2
- 684 2
- 703 2
- 710 2
- 715 2
- 723 2
- 733 2
- 743 2
- 748 2
- 754 2
- 767 2
- 770 2
- 771 2
- 776 2
- 10 1
- 11 1
- 37 1
- 42 1
- 58 1
- 61 1
- 88 1
- 94 1
- 143 1
- 158 1
- 163 1
- 165 1
- 169 1
- 173 1
- 184 1
- 197 1
- 200 1
- 205 1
- 207 1
- 218 1
- 220 1
- 226 1
- 230 1
- 235 1
- 243 1
- 248 1
- 252 1
- 264 1
- 271 1
- 281 1
- 285 1
- 287 1
- 290 1
- 291 1
- 297 1
- 302 1
- 304 1
- 311 1
- 325 1
- 329 1
- 330 1
- 335 1
- 340 1
- 341 1
- 353 1
- 354 1
- 356 1
- 362 1
- 365 1
- 367 1
- 372 1
- 373 1
- 376 1
- 378 1
- 379 1
- 381 1
- 382 1
- 386 1
- 392 1
- 393 1
- 394 1
- 401 1
- 407 1
- 410 1
- 411 1
- 412 1
- 413 1
- 415 1
- 418 1
- 421 1
- 423 1
- 433 1
- 434 1
- 453 1
county 1
- Ottawa · 3,124 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2500544 | 2500544 | 2022-05-13 | Ottawa | Kansas | 20143 | 1210 | 17 |
2500890 | 2500890 | 2022-05-13 | Ottawa | Michigan | 26139 | 76277 | 785 |
2501705 | 2501705 | 2022-05-13 | Ottawa | Ohio | 39123 | 8618 | 138 |
2501790 | 2501790 | 2022-05-13 | Ottawa | Oklahoma | 40115 | 9204 | 127 |
2497286 | 2497286 | 2022-05-12 | Ottawa | Kansas | 20143 | 1210 | 17 |
2497632 | 2497632 | 2022-05-12 | Ottawa | Michigan | 26139 | 76277 | 785 |
2498447 | 2498447 | 2022-05-12 | Ottawa | Ohio | 39123 | 8618 | 138 |
2498532 | 2498532 | 2022-05-12 | Ottawa | Oklahoma | 40115 | 9204 | 127 |
2494028 | 2494028 | 2022-05-11 | Ottawa | Kansas | 20143 | 1210 | 17 |
2494374 | 2494374 | 2022-05-11 | Ottawa | Michigan | 26139 | 76277 | 785 |
2495189 | 2495189 | 2022-05-11 | Ottawa | Ohio | 39123 | 8551 | 138 |
2495274 | 2495274 | 2022-05-11 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2490770 | 2490770 | 2022-05-10 | Ottawa | Kansas | 20143 | 1210 | 17 |
2491116 | 2491116 | 2022-05-10 | Ottawa | Michigan | 26139 | 75716 | 783 |
2491931 | 2491931 | 2022-05-10 | Ottawa | Ohio | 39123 | 8551 | 138 |
2492016 | 2492016 | 2022-05-10 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2487513 | 2487513 | 2022-05-09 | Ottawa | Kansas | 20143 | 1210 | 17 |
2487859 | 2487859 | 2022-05-09 | Ottawa | Michigan | 26139 | 75716 | 783 |
2488673 | 2488673 | 2022-05-09 | Ottawa | Ohio | 39123 | 8551 | 138 |
2488758 | 2488758 | 2022-05-09 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2484255 | 2484255 | 2022-05-08 | Ottawa | Kansas | 20143 | 1210 | 17 |
2484601 | 2484601 | 2022-05-08 | Ottawa | Michigan | 26139 | 75716 | 783 |
2485416 | 2485416 | 2022-05-08 | Ottawa | Ohio | 39123 | 8551 | 138 |
2485501 | 2485501 | 2022-05-08 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2480997 | 2480997 | 2022-05-07 | Ottawa | Kansas | 20143 | 1210 | 17 |
2481343 | 2481343 | 2022-05-07 | Ottawa | Michigan | 26139 | 75716 | 783 |
2482158 | 2482158 | 2022-05-07 | Ottawa | Ohio | 39123 | 8551 | 138 |
2482243 | 2482243 | 2022-05-07 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2477739 | 2477739 | 2022-05-06 | Ottawa | Kansas | 20143 | 1210 | 17 |
2478085 | 2478085 | 2022-05-06 | Ottawa | Michigan | 26139 | 75716 | 783 |
2478900 | 2478900 | 2022-05-06 | Ottawa | Ohio | 39123 | 8551 | 138 |
2478985 | 2478985 | 2022-05-06 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2474481 | 2474481 | 2022-05-05 | Ottawa | Kansas | 20143 | 1208 | 17 |
2474827 | 2474827 | 2022-05-05 | Ottawa | Michigan | 26139 | 75716 | 783 |
2475642 | 2475642 | 2022-05-05 | Ottawa | Ohio | 39123 | 8551 | 138 |
2475727 | 2475727 | 2022-05-05 | Ottawa | Oklahoma | 40115 | 9199 | 127 |
2471224 | 2471224 | 2022-05-04 | Ottawa | Kansas | 20143 | 1208 | 17 |
2471570 | 2471570 | 2022-05-04 | Ottawa | Michigan | 26139 | 75716 | 783 |
2472385 | 2472385 | 2022-05-04 | Ottawa | Ohio | 39123 | 8503 | 138 |
2472470 | 2472470 | 2022-05-04 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2467968 | 2467968 | 2022-05-03 | Ottawa | Kansas | 20143 | 1208 | 17 |
2468314 | 2468314 | 2022-05-03 | Ottawa | Michigan | 26139 | 75339 | 782 |
2469129 | 2469129 | 2022-05-03 | Ottawa | Ohio | 39123 | 8503 | 138 |
2469214 | 2469214 | 2022-05-03 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2464713 | 2464713 | 2022-05-02 | Ottawa | Kansas | 20143 | 1208 | 17 |
2465059 | 2465059 | 2022-05-02 | Ottawa | Michigan | 26139 | 75339 | 782 |
2465873 | 2465873 | 2022-05-02 | Ottawa | Ohio | 39123 | 8503 | 138 |
2465958 | 2465958 | 2022-05-02 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2461457 | 2461457 | 2022-05-01 | Ottawa | Kansas | 20143 | 1208 | 17 |
2461803 | 2461803 | 2022-05-01 | Ottawa | Michigan | 26139 | 75339 | 782 |
2462618 | 2462618 | 2022-05-01 | Ottawa | Ohio | 39123 | 8503 | 138 |
2462703 | 2462703 | 2022-05-01 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2458201 | 2458201 | 2022-04-30 | Ottawa | Kansas | 20143 | 1208 | 17 |
2458547 | 2458547 | 2022-04-30 | Ottawa | Michigan | 26139 | 75339 | 782 |
2459362 | 2459362 | 2022-04-30 | Ottawa | Ohio | 39123 | 8503 | 138 |
2459447 | 2459447 | 2022-04-30 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2454945 | 2454945 | 2022-04-29 | Ottawa | Kansas | 20143 | 1208 | 17 |
2455291 | 2455291 | 2022-04-29 | Ottawa | Michigan | 26139 | 75339 | 782 |
2456106 | 2456106 | 2022-04-29 | Ottawa | Ohio | 39123 | 8503 | 138 |
2456191 | 2456191 | 2022-04-29 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2451689 | 2451689 | 2022-04-28 | Ottawa | Kansas | 20143 | 1208 | 17 |
2452035 | 2452035 | 2022-04-28 | Ottawa | Michigan | 26139 | 75339 | 782 |
2452850 | 2452850 | 2022-04-28 | Ottawa | Ohio | 39123 | 8503 | 138 |
2452935 | 2452935 | 2022-04-28 | Ottawa | Oklahoma | 40115 | 9191 | 127 |
2448433 | 2448433 | 2022-04-27 | Ottawa | Kansas | 20143 | 1208 | 17 |
2448779 | 2448779 | 2022-04-27 | Ottawa | Michigan | 26139 | 75339 | 782 |
2449594 | 2449594 | 2022-04-27 | Ottawa | Ohio | 39123 | 8482 | 138 |
2449679 | 2449679 | 2022-04-27 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2445177 | 2445177 | 2022-04-26 | Ottawa | Kansas | 20143 | 1208 | 17 |
2445523 | 2445523 | 2022-04-26 | Ottawa | Michigan | 26139 | 75061 | 788 |
2446337 | 2446337 | 2022-04-26 | Ottawa | Ohio | 39123 | 8482 | 138 |
2446422 | 2446422 | 2022-04-26 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2441921 | 2441921 | 2022-04-25 | Ottawa | Kansas | 20143 | 1208 | 17 |
2442267 | 2442267 | 2022-04-25 | Ottawa | Michigan | 26139 | 75061 | 788 |
2443082 | 2443082 | 2022-04-25 | Ottawa | Ohio | 39123 | 8482 | 138 |
2443167 | 2443167 | 2022-04-25 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2438665 | 2438665 | 2022-04-24 | Ottawa | Kansas | 20143 | 1208 | 17 |
2439011 | 2439011 | 2022-04-24 | Ottawa | Michigan | 26139 | 75061 | 788 |
2439826 | 2439826 | 2022-04-24 | Ottawa | Ohio | 39123 | 8482 | 138 |
2439911 | 2439911 | 2022-04-24 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2435409 | 2435409 | 2022-04-23 | Ottawa | Kansas | 20143 | 1208 | 17 |
2435755 | 2435755 | 2022-04-23 | Ottawa | Michigan | 26139 | 75061 | 788 |
2436570 | 2436570 | 2022-04-23 | Ottawa | Ohio | 39123 | 8482 | 138 |
2436655 | 2436655 | 2022-04-23 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2432153 | 2432153 | 2022-04-22 | Ottawa | Kansas | 20143 | 1208 | 17 |
2432499 | 2432499 | 2022-04-22 | Ottawa | Michigan | 26139 | 75061 | 788 |
2433314 | 2433314 | 2022-04-22 | Ottawa | Ohio | 39123 | 8482 | 138 |
2433399 | 2433399 | 2022-04-22 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2428897 | 2428897 | 2022-04-21 | Ottawa | Kansas | 20143 | 1207 | 17 |
2429243 | 2429243 | 2022-04-21 | Ottawa | Michigan | 26139 | 75061 | 788 |
2430058 | 2430058 | 2022-04-21 | Ottawa | Ohio | 39123 | 8482 | 138 |
2430143 | 2430143 | 2022-04-21 | Ottawa | Oklahoma | 40115 | 9189 | 126 |
2425641 | 2425641 | 2022-04-20 | Ottawa | Kansas | 20143 | 1207 | 17 |
2425987 | 2425987 | 2022-04-20 | Ottawa | Michigan | 26139 | 75061 | 788 |
2426802 | 2426802 | 2022-04-20 | Ottawa | Ohio | 39123 | 8472 | 138 |
2426887 | 2426887 | 2022-04-20 | Ottawa | Oklahoma | 40115 | 9140 | 126 |
2422385 | 2422385 | 2022-04-19 | Ottawa | Kansas | 20143 | 1207 | 17 |
2422731 | 2422731 | 2022-04-19 | Ottawa | Michigan | 26139 | 74875 | 786 |
2423546 | 2423546 | 2022-04-19 | Ottawa | Ohio | 39123 | 8472 | 138 |
2423631 | 2423631 | 2022-04-19 | Ottawa | Oklahoma | 40115 | 9140 | 126 |
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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);