ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
788 rows where fips = 10005 sorted by cases
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases, date (date)
deaths 306 ✖
- 499 21
- 497 19
- 176 14
- 192 12
- 195 11
- 489 11
- 493 11
- 844 10
- 0 9
- 191 9
- 848 9
- 210 8
- 545 8
- 547 8
- 681 8
- 175 7
- 178 7
- 483 7
- 501 7
- 559 7
- 660 7
- 804 7
- 829 7
- 837 7
- 855 7
- 3 6
- 196 6
- 502 6
- 549 6
- 561 6
- 797 6
- 190 5
- 194 5
- 578 5
- 642 5
- 647 5
- 650 5
- 1 4
- 149 4
- 150 4
- 197 4
- 206 4
- 236 4
- 264 4
- 316 4
- 320 4
- 451 4
- 453 4
- 465 4
- 481 4
- 556 4
- 601 4
- 630 4
- 633 4
- 639 4
- 655 4
- 673 4
- 725 4
- 778 4
- 795 4
- 818 4
- 845 4
- 850 4
- 200 3
- 207 3
- 212 3
- 240 3
- 241 3
- 248 3
- 269 3
- 271 3
- 286 3
- 291 3
- 298 3
- 304 3
- 321 3
- 397 3
- 420 3
- 431 3
- 436 3
- 446 3
- 452 3
- 455 3
- 458 3
- 463 3
- 475 3
- 476 3
- 546 3
- 570 3
- 592 3
- 595 3
- 602 3
- 613 3
- 620 3
- 638 3
- 653 3
- 667 3
- 707 3
- 738 3
- 756 3
- 763 3
- 792 3
- 819 3
- 823 3
- 2 2
- 10 2
- 25 2
- 91 2
- 128 2
- 133 2
- 144 2
- 146 2
- 153 2
- 154 2
- 201 2
- 203 2
- 204 2
- 211 2
- 213 2
- 214 2
- 216 2
- 226 2
- 228 2
- 251 2
- 253 2
- 257 2
- 258 2
- 259 2
- 263 2
- 268 2
- 284 2
- 289 2
- 312 2
- 340 2
- 349 2
- 383 2
- 391 2
- 432 2
- 441 2
- 461 2
- 462 2
- 484 2
- 486 2
- 500 2
- 568 2
- 586 2
- 615 2
- 621 2
- 646 2
- 664 2
- 669 2
- 712 2
- 743 2
- 761 2
- 771 2
- 772 2
- 784 2
- 825 2
- 826 2
- 4 1
- 5 1
- 7 1
- 12 1
- 15 1
- 16 1
- 17 1
- 18 1
- 22 1
- 26 1
- 32 1
- 36 1
- 37 1
- 40 1
- 42 1
- 43 1
- 45 1
- 51 1
- 54 1
- 58 1
- 62 1
- 63 1
- 68 1
- 70 1
- 72 1
- 75 1
- 79 1
- 86 1
- 90 1
- 93 1
- 99 1
- 105 1
- 108 1
- 112 1
- 113 1
- 114 1
- 115 1
- 116 1
- 117 1
- 119 1
- 120 1
- 121 1
- 126 1
- 129 1
- 131 1
- 132 1
- 135 1
- 136 1
- 143 1
- 151 1
- 152 1
- 177 1
- 179 1
- 180 1
- 198 1
- 199 1
- 205 1
- 215 1
- 219 1
- 221 1
- 222 1
- 233 1
- 235 1
- 243 1
- 245 1
- 247 1
- 250 1
- 255 1
- 262 1
- 270 1
- 273 1
- 276 1
- 280 1
- 282 1
- 290 1
- 296 1
- 297 1
- 301 1
- 310 1
- 317 1
- 325 1
- 328 1
- 336 1
- 342 1
- 343 1
- 344 1
- 348 1
- 356 1
- 357 1
- 376 1
- 381 1
- 387 1
- 392 1
- 402 1
- 409 1
- 412 1
- 418 1
- 424 1
- 430 1
- 433 1
- 440 1
- 442 1
- 448 1
- 449 1
- 450 1
- 468 1
- 469 1
- 471 1
- 472 1
- 479 1
- 482 1
- 488 1
- 495 1
- 496 1
- 504 1
- 548 1
- 553 1
- 555 1
- 557 1
- 562 1
- 566 1
- 575 1
- 576 1
- 583 1
- 585 1
- 609 1
- 614 1
- 616 1
- 622 1
- 665 1
- 666 1
- 670 1
- 676 1
- 679 1
- 697 1
- 711 1
- 718 1
- 732 1
- 735 1
- 736 1
- 742 1
- 746 1
- 757 1
- 762 1
- 785 1
- 798 1
- 857 1
state 1
- Delaware 788
fips 1
- 10005 · 788 ✖
county 1
- Sussex 788
Link | rowid | date | county | state | fips | cases ▼ | deaths |
---|---|---|---|---|---|---|---|
3296 | 3296 | 2020-03-17 | Sussex | Delaware | 10005 | 1 | 0 |
3853 | 3853 | 2020-03-18 | Sussex | Delaware | 10005 | 3 | 0 |
4518 | 4518 | 2020-03-19 | Sussex | Delaware | 10005 | 3 | 0 |
5297 | 5297 | 2020-03-20 | Sussex | Delaware | 10005 | 7 | 0 |
6224 | 6224 | 2020-03-21 | Sussex | Delaware | 10005 | 8 | 0 |
7260 | 7260 | 2020-03-22 | Sussex | Delaware | 10005 | 12 | 0 |
8406 | 8406 | 2020-03-23 | Sussex | Delaware | 10005 | 20 | 0 |
9651 | 9651 | 2020-03-24 | Sussex | Delaware | 10005 | 23 | 0 |
11025 | 11025 | 2020-03-25 | Sussex | Delaware | 10005 | 26 | 0 |
12573 | 12573 | 2020-03-26 | Sussex | Delaware | 10005 | 33 | 1 |
14242 | 14242 | 2020-03-27 | Sussex | Delaware | 10005 | 38 | 1 |
16026 | 16026 | 2020-03-28 | Sussex | Delaware | 10005 | 59 | 1 |
17918 | 17918 | 2020-03-29 | Sussex | Delaware | 10005 | 66 | 1 |
19898 | 19898 | 2020-03-30 | Sussex | Delaware | 10005 | 81 | 2 |
21975 | 21975 | 2020-03-31 | Sussex | Delaware | 10005 | 88 | 2 |
24134 | 24134 | 2020-04-01 | Sussex | Delaware | 10005 | 101 | 3 |
26364 | 26364 | 2020-04-02 | Sussex | Delaware | 10005 | 105 | 3 |
28666 | 28666 | 2020-04-03 | Sussex | Delaware | 10005 | 117 | 3 |
31024 | 31024 | 2020-04-04 | Sussex | Delaware | 10005 | 125 | 3 |
33430 | 33430 | 2020-04-05 | Sussex | Delaware | 10005 | 151 | 3 |
35875 | 35875 | 2020-04-06 | Sussex | Delaware | 10005 | 159 | 3 |
38365 | 38365 | 2020-04-07 | Sussex | Delaware | 10005 | 210 | 4 |
40908 | 40908 | 2020-04-08 | Sussex | Delaware | 10005 | 279 | 5 |
43482 | 43482 | 2020-04-09 | Sussex | Delaware | 10005 | 294 | 7 |
46082 | 46082 | 2020-04-10 | Sussex | Delaware | 10005 | 336 | 10 |
48712 | 48712 | 2020-04-11 | Sussex | Delaware | 10005 | 404 | 10 |
51374 | 51374 | 2020-04-12 | Sussex | Delaware | 10005 | 464 | 12 |
54053 | 54053 | 2020-04-13 | Sussex | Delaware | 10005 | 551 | 15 |
56745 | 56745 | 2020-04-14 | Sussex | Delaware | 10005 | 639 | 16 |
59453 | 59453 | 2020-04-15 | Sussex | Delaware | 10005 | 678 | 17 |
62172 | 62172 | 2020-04-16 | Sussex | Delaware | 10005 | 698 | 18 |
64905 | 64905 | 2020-04-17 | Sussex | Delaware | 10005 | 811 | 22 |
67653 | 67653 | 2020-04-18 | Sussex | Delaware | 10005 | 886 | 25 |
70415 | 70415 | 2020-04-19 | Sussex | Delaware | 10005 | 886 | 25 |
73184 | 73184 | 2020-04-20 | Sussex | Delaware | 10005 | 1055 | 26 |
75960 | 75960 | 2020-04-21 | Sussex | Delaware | 10005 | 1139 | 32 |
78744 | 78744 | 2020-04-22 | Sussex | Delaware | 10005 | 1317 | 36 |
81538 | 81538 | 2020-04-23 | Sussex | Delaware | 10005 | 1377 | 37 |
84338 | 84338 | 2020-04-24 | Sussex | Delaware | 10005 | 1394 | 40 |
87146 | 87146 | 2020-04-25 | Sussex | Delaware | 10005 | 1490 | 42 |
89963 | 89963 | 2020-04-26 | Sussex | Delaware | 10005 | 1801 | 43 |
92781 | 92781 | 2020-04-27 | Sussex | Delaware | 10005 | 1870 | 45 |
95613 | 95613 | 2020-04-28 | Sussex | Delaware | 10005 | 2114 | 51 |
98458 | 98458 | 2020-04-29 | Sussex | Delaware | 10005 | 2169 | 54 |
101308 | 101308 | 2020-04-30 | Sussex | Delaware | 10005 | 2216 | 58 |
104163 | 104163 | 2020-05-01 | Sussex | Delaware | 10005 | 2292 | 62 |
107028 | 107028 | 2020-05-02 | Sussex | Delaware | 10005 | 2359 | 63 |
109897 | 109897 | 2020-05-03 | Sussex | Delaware | 10005 | 2461 | 68 |
112772 | 112772 | 2020-05-04 | Sussex | Delaware | 10005 | 2497 | 70 |
115655 | 115655 | 2020-05-05 | Sussex | Delaware | 10005 | 2520 | 72 |
118615 | 118615 | 2020-05-06 | Sussex | Delaware | 10005 | 2764 | 75 |
121584 | 121584 | 2020-05-07 | Sussex | Delaware | 10005 | 2834 | 79 |
124564 | 124564 | 2020-05-08 | Sussex | Delaware | 10005 | 2936 | 86 |
127550 | 127550 | 2020-05-09 | Sussex | Delaware | 10005 | 2990 | 90 |
130541 | 130541 | 2020-05-10 | Sussex | Delaware | 10005 | 3059 | 91 |
133532 | 133532 | 2020-05-11 | Sussex | Delaware | 10005 | 3091 | 91 |
136521 | 136521 | 2020-05-12 | Sussex | Delaware | 10005 | 3205 | 93 |
139512 | 139512 | 2020-05-13 | Sussex | Delaware | 10005 | 3336 | 99 |
142508 | 142508 | 2020-05-14 | Sussex | Delaware | 10005 | 3503 | 105 |
145508 | 145508 | 2020-05-15 | Sussex | Delaware | 10005 | 3565 | 108 |
148511 | 148511 | 2020-05-16 | Sussex | Delaware | 10005 | 3658 | 112 |
151520 | 151520 | 2020-05-17 | Sussex | Delaware | 10005 | 3739 | 113 |
154532 | 154532 | 2020-05-18 | Sussex | Delaware | 10005 | 3861 | 114 |
157548 | 157548 | 2020-05-19 | Sussex | Delaware | 10005 | 3904 | 115 |
160574 | 160574 | 2020-05-20 | Sussex | Delaware | 10005 | 3960 | 116 |
163602 | 163602 | 2020-05-21 | Sussex | Delaware | 10005 | 4006 | 117 |
166635 | 166635 | 2020-05-22 | Sussex | Delaware | 10005 | 4048 | 119 |
169672 | 169672 | 2020-05-23 | Sussex | Delaware | 10005 | 4084 | 120 |
172713 | 172713 | 2020-05-24 | Sussex | Delaware | 10005 | 4103 | 121 |
175756 | 175756 | 2020-05-25 | Sussex | Delaware | 10005 | 4118 | 126 |
178800 | 178800 | 2020-05-26 | Sussex | Delaware | 10005 | 4132 | 128 |
181844 | 181844 | 2020-05-27 | Sussex | Delaware | 10005 | 4140 | 128 |
184898 | 184898 | 2020-05-28 | Sussex | Delaware | 10005 | 4151 | 129 |
187954 | 187954 | 2020-05-29 | Sussex | Delaware | 10005 | 4155 | 131 |
191019 | 191019 | 2020-05-30 | Sussex | Delaware | 10005 | 4215 | 132 |
194086 | 194086 | 2020-05-31 | Sussex | Delaware | 10005 | 4253 | 133 |
197156 | 197156 | 2020-06-01 | Sussex | Delaware | 10005 | 4272 | 133 |
200229 | 200229 | 2020-06-02 | Sussex | Delaware | 10005 | 4299 | 135 |
203305 | 203305 | 2020-06-03 | Sussex | Delaware | 10005 | 4305 | 136 |
206385 | 206385 | 2020-06-04 | Sussex | Delaware | 10005 | 4314 | 143 |
209466 | 209466 | 2020-06-05 | Sussex | Delaware | 10005 | 4322 | 144 |
212551 | 212551 | 2020-06-06 | Sussex | Delaware | 10005 | 4342 | 144 |
215638 | 215638 | 2020-06-07 | Sussex | Delaware | 10005 | 4346 | 146 |
218729 | 218729 | 2020-06-08 | Sussex | Delaware | 10005 | 4353 | 146 |
221824 | 221824 | 2020-06-09 | Sussex | Delaware | 10005 | 4361 | 149 |
224919 | 224919 | 2020-06-10 | Sussex | Delaware | 10005 | 4373 | 149 |
228021 | 228021 | 2020-06-11 | Sussex | Delaware | 10005 | 4379 | 149 |
231124 | 231124 | 2020-06-12 | Sussex | Delaware | 10005 | 4389 | 149 |
234230 | 234230 | 2020-06-13 | Sussex | Delaware | 10005 | 4401 | 150 |
237337 | 237337 | 2020-06-14 | Sussex | Delaware | 10005 | 4406 | 150 |
240445 | 240445 | 2020-06-15 | Sussex | Delaware | 10005 | 4416 | 150 |
243556 | 243556 | 2020-06-16 | Sussex | Delaware | 10005 | 4428 | 150 |
246669 | 246669 | 2020-06-17 | Sussex | Delaware | 10005 | 4429 | 151 |
249781 | 249781 | 2020-06-18 | Sussex | Delaware | 10005 | 4431 | 152 |
252896 | 252896 | 2020-06-19 | Sussex | Delaware | 10005 | 4470 | 153 |
256015 | 256015 | 2020-06-20 | Sussex | Delaware | 10005 | 4487 | 153 |
259142 | 259142 | 2020-06-21 | Sussex | Delaware | 10005 | 4495 | 154 |
262269 | 262269 | 2020-06-22 | Sussex | Delaware | 10005 | 4501 | 154 |
265397 | 265397 | 2020-06-23 | Sussex | Delaware | 10005 | 4509 | 176 |
274803 | 274803 | 2020-06-26 | Sussex | Delaware | 10005 | 4519 | 176 |
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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);