ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
792 rows where fips = 42125 sorted by date
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases, date (date)
deaths 287 ✖
- 6 44
- 0 32
- 2 19
- 651 18
- 652 18
- 30 16
- 28 15
- 312 15
- 5 14
- 313 13
- 4 12
- 10 11
- 304 10
- 271 9
- 11 8
- 29 8
- 34 8
- 298 8
- 300 8
- 307 7
- 310 7
- 302 6
- 303 6
- 314 6
- 27 5
- 32 5
- 37 5
- 257 5
- 276 5
- 284 5
- 288 5
- 293 5
- 305 5
- 309 5
- 321 5
- 325 5
- 500 5
- 616 5
- 638 5
- 649 5
- 1 4
- 22 4
- 31 4
- 41 4
- 70 4
- 246 4
- 258 4
- 268 4
- 274 4
- 294 4
- 315 4
- 343 4
- 368 4
- 403 4
- 406 4
- 420 4
- 513 4
- 535 4
- 582 4
- 637 4
- 639 4
- 644 4
- 647 4
- 12 3
- 13 3
- 17 3
- 44 3
- 50 3
- 273 3
- 275 3
- 279 3
- 317 3
- 336 3
- 378 3
- 386 3
- 398 3
- 425 3
- 484 3
- 542 3
- 548 3
- 606 3
- 645 3
- 654 3
- 7 2
- 21 2
- 24 2
- 35 2
- 63 2
- 71 2
- 73 2
- 75 2
- 110 2
- 120 2
- 121 2
- 122 2
- 138 2
- 156 2
- 168 2
- 199 2
- 240 2
- 242 2
- 265 2
- 266 2
- 277 2
- 290 2
- 295 2
- 296 2
- 297 2
- 306 2
- 319 2
- 331 2
- 335 2
- 352 2
- 382 2
- 407 2
- 466 2
- 565 2
- 596 2
- 599 2
- 632 2
- 643 2
- 9 1
- 14 1
- 16 1
- 20 1
- 25 1
- 26 1
- 40 1
- 42 1
- 49 1
- 53 1
- 56 1
- 58 1
- 62 1
- 67 1
- 69 1
- 76 1
- 77 1
- 80 1
- 81 1
- 85 1
- 88 1
- 92 1
- 93 1
- 95 1
- 100 1
- 103 1
- 106 1
- 108 1
- 112 1
- 116 1
- 119 1
- 128 1
- 131 1
- 135 1
- 136 1
- 137 1
- 144 1
- 148 1
- 152 1
- 157 1
- 164 1
- 165 1
- 166 1
- 170 1
- 171 1
- 172 1
- 178 1
- 181 1
- 190 1
- 197 1
- 204 1
- 207 1
- 216 1
- 222 1
- 223 1
- 225 1
- 226 1
- 228 1
- 234 1
- 235 1
- 237 1
- 238 1
- 244 1
- 245 1
- 248 1
- 249 1
- 250 1
- 254 1
- 256 1
- 260 1
- 261 1
- 262 1
- 264 1
- 280 1
- 282 1
- 283 1
- 285 1
- 286 1
- 291 1
- 292 1
- 311 1
- 320 1
- 324 1
- 334 1
- 338 1
- 339 1
- 341 1
- 346 1
- 349 1
- 350 1
- 351 1
- 356 1
- 358 1
- 362 1
- 372 1
- 375 1
- 377 1
- 379 1
- 380 1
- 384 1
- 387 1
- 389 1
- 390 1
- 394 1
- 396 1
- 400 1
- 401 1
- 402 1
- 408 1
- 414 1
- 415 1
- 419 1
- 421 1
- 426 1
- 428 1
- 432 1
- 435 1
- 437 1
- 441 1
- 444 1
- 445 1
- 448 1
- 454 1
- 460 1
- 461 1
- 463 1
- 465 1
- 469 1
- 474 1
- 476 1
- 477 1
- 493 1
- 497 1
- 503 1
- 512 1
- 514 1
- 519 1
- 521 1
- 530 1
- 540 1
- 549 1
- 553 1
- 557 1
- 562 1
- 564 1
- 569 1
- 572 1
- 579 1
- 586 1
- 587 1
- 588 1
- 591 1
- 597 1
- 604 1
- 605 1
- 609 1
- 610 1
- 613 1
- 624 1
- 626 1
- 629 1
- 631 1
- 636 1
- 640 1
- 646 1
- 648 1
state 1
- Pennsylvania 792
fips 1
- 42125 · 792 ✖
county 1
- Washington 792
Link | rowid | date ▼ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
1857 | 1857 | 2020-03-13 | Washington | Pennsylvania | 42125 | 1 | 0 |
2219 | 2219 | 2020-03-14 | Washington | Pennsylvania | 42125 | 1 | 0 |
2641 | 2641 | 2020-03-15 | Washington | Pennsylvania | 42125 | 1 | 0 |
3106 | 3106 | 2020-03-16 | Washington | Pennsylvania | 42125 | 1 | 0 |
3636 | 3636 | 2020-03-17 | Washington | Pennsylvania | 42125 | 2 | 0 |
4254 | 4254 | 2020-03-18 | Washington | Pennsylvania | 42125 | 2 | 0 |
4995 | 4995 | 2020-03-19 | Washington | Pennsylvania | 42125 | 3 | 0 |
5868 | 5868 | 2020-03-20 | Washington | Pennsylvania | 42125 | 3 | 0 |
6872 | 6872 | 2020-03-21 | Washington | Pennsylvania | 42125 | 5 | 0 |
7992 | 7992 | 2020-03-22 | Washington | Pennsylvania | 42125 | 7 | 0 |
9203 | 9203 | 2020-03-23 | Washington | Pennsylvania | 42125 | 7 | 0 |
10528 | 10528 | 2020-03-24 | Washington | Pennsylvania | 42125 | 9 | 0 |
11994 | 11994 | 2020-03-25 | Washington | Pennsylvania | 42125 | 10 | 0 |
13616 | 13616 | 2020-03-26 | Washington | Pennsylvania | 42125 | 12 | 0 |
15363 | 15363 | 2020-03-27 | Washington | Pennsylvania | 42125 | 14 | 0 |
17217 | 17217 | 2020-03-28 | Washington | Pennsylvania | 42125 | 23 | 0 |
19157 | 19157 | 2020-03-29 | Washington | Pennsylvania | 42125 | 24 | 0 |
21208 | 21208 | 2020-03-30 | Washington | Pennsylvania | 42125 | 26 | 0 |
23345 | 23345 | 2020-03-31 | Washington | Pennsylvania | 42125 | 33 | 0 |
25542 | 25542 | 2020-04-01 | Washington | Pennsylvania | 42125 | 35 | 0 |
27815 | 27815 | 2020-04-02 | Washington | Pennsylvania | 42125 | 38 | 0 |
30150 | 30150 | 2020-04-03 | Washington | Pennsylvania | 42125 | 40 | 0 |
32540 | 32540 | 2020-04-04 | Washington | Pennsylvania | 42125 | 46 | 0 |
34976 | 34976 | 2020-04-05 | Washington | Pennsylvania | 42125 | 50 | 0 |
37451 | 37451 | 2020-04-06 | Washington | Pennsylvania | 42125 | 53 | 0 |
39974 | 39974 | 2020-04-07 | Washington | Pennsylvania | 42125 | 57 | 0 |
42534 | 42534 | 2020-04-08 | Washington | Pennsylvania | 42125 | 59 | 0 |
45120 | 45120 | 2020-04-09 | Washington | Pennsylvania | 42125 | 63 | 0 |
47737 | 47737 | 2020-04-10 | Washington | Pennsylvania | 42125 | 66 | 0 |
50394 | 50394 | 2020-04-11 | Washington | Pennsylvania | 42125 | 66 | 0 |
53067 | 53067 | 2020-04-12 | Washington | Pennsylvania | 42125 | 68 | 0 |
55752 | 55752 | 2020-04-13 | Washington | Pennsylvania | 42125 | 69 | 0 |
58455 | 58455 | 2020-04-14 | Washington | Pennsylvania | 42125 | 70 | 1 |
61170 | 61170 | 2020-04-15 | Washington | Pennsylvania | 42125 | 71 | 1 |
63896 | 63896 | 2020-04-16 | Washington | Pennsylvania | 42125 | 73 | 1 |
66642 | 66642 | 2020-04-17 | Washington | Pennsylvania | 42125 | 75 | 1 |
69400 | 69400 | 2020-04-18 | Washington | Pennsylvania | 42125 | 79 | 2 |
72167 | 72167 | 2020-04-19 | Washington | Pennsylvania | 42125 | 82 | 2 |
74942 | 74942 | 2020-04-20 | Washington | Pennsylvania | 42125 | 83 | 2 |
77724 | 77724 | 2020-04-21 | Washington | Pennsylvania | 42125 | 86 | 2 |
80514 | 80514 | 2020-04-22 | Washington | Pennsylvania | 42125 | 87 | 2 |
83313 | 83313 | 2020-04-23 | Washington | Pennsylvania | 42125 | 92 | 2 |
86117 | 86117 | 2020-04-24 | Washington | Pennsylvania | 42125 | 96 | 2 |
88931 | 88931 | 2020-04-25 | Washington | Pennsylvania | 42125 | 99 | 2 |
91747 | 91747 | 2020-04-26 | Washington | Pennsylvania | 42125 | 101 | 2 |
94574 | 94574 | 2020-04-27 | Washington | Pennsylvania | 42125 | 107 | 2 |
97413 | 97413 | 2020-04-28 | Washington | Pennsylvania | 42125 | 109 | 2 |
100262 | 100262 | 2020-04-29 | Washington | Pennsylvania | 42125 | 113 | 2 |
103115 | 103115 | 2020-04-30 | Washington | Pennsylvania | 42125 | 115 | 2 |
105978 | 105978 | 2020-05-01 | Washington | Pennsylvania | 42125 | 116 | 2 |
108845 | 108845 | 2020-05-02 | Washington | Pennsylvania | 42125 | 118 | 2 |
111719 | 111719 | 2020-05-03 | Washington | Pennsylvania | 42125 | 119 | 2 |
114601 | 114601 | 2020-05-04 | Washington | Pennsylvania | 42125 | 120 | 2 |
117482 | 117482 | 2020-05-05 | Washington | Pennsylvania | 42125 | 120 | 2 |
120444 | 120444 | 2020-05-06 | Washington | Pennsylvania | 42125 | 121 | 2 |
123421 | 123421 | 2020-05-07 | Washington | Pennsylvania | 42125 | 120 | 4 |
126404 | 126404 | 2020-05-08 | Washington | Pennsylvania | 42125 | 121 | 4 |
129393 | 129393 | 2020-05-09 | Washington | Pennsylvania | 42125 | 124 | 4 |
132382 | 132382 | 2020-05-10 | Washington | Pennsylvania | 42125 | 124 | 4 |
135373 | 135373 | 2020-05-11 | Washington | Pennsylvania | 42125 | 124 | 4 |
138363 | 138363 | 2020-05-12 | Washington | Pennsylvania | 42125 | 126 | 4 |
141359 | 141359 | 2020-05-13 | Washington | Pennsylvania | 42125 | 127 | 4 |
144355 | 144355 | 2020-05-14 | Washington | Pennsylvania | 42125 | 129 | 4 |
147356 | 147356 | 2020-05-15 | Washington | Pennsylvania | 42125 | 129 | 4 |
150363 | 150363 | 2020-05-16 | Washington | Pennsylvania | 42125 | 130 | 4 |
153374 | 153374 | 2020-05-17 | Washington | Pennsylvania | 42125 | 131 | 4 |
156391 | 156391 | 2020-05-18 | Washington | Pennsylvania | 42125 | 133 | 4 |
159412 | 159412 | 2020-05-19 | Washington | Pennsylvania | 42125 | 130 | 5 |
162439 | 162439 | 2020-05-20 | Washington | Pennsylvania | 42125 | 130 | 5 |
165468 | 165468 | 2020-05-21 | Washington | Pennsylvania | 42125 | 130 | 5 |
168504 | 168504 | 2020-05-22 | Washington | Pennsylvania | 42125 | 134 | 5 |
171543 | 171543 | 2020-05-23 | Washington | Pennsylvania | 42125 | 135 | 5 |
174585 | 174585 | 2020-05-24 | Washington | Pennsylvania | 42125 | 138 | 5 |
177629 | 177629 | 2020-05-25 | Washington | Pennsylvania | 42125 | 138 | 5 |
180672 | 180672 | 2020-05-26 | Washington | Pennsylvania | 42125 | 138 | 5 |
183722 | 183722 | 2020-05-27 | Washington | Pennsylvania | 42125 | 138 | 5 |
186779 | 186779 | 2020-05-28 | Washington | Pennsylvania | 42125 | 139 | 5 |
189840 | 189840 | 2020-05-29 | Washington | Pennsylvania | 42125 | 139 | 5 |
192905 | 192905 | 2020-05-30 | Washington | Pennsylvania | 42125 | 139 | 5 |
195974 | 195974 | 2020-05-31 | Washington | Pennsylvania | 42125 | 139 | 5 |
199047 | 199047 | 2020-06-01 | Washington | Pennsylvania | 42125 | 140 | 5 |
202122 | 202122 | 2020-06-02 | Washington | Pennsylvania | 42125 | 140 | 6 |
205199 | 205199 | 2020-06-03 | Washington | Pennsylvania | 42125 | 140 | 6 |
208280 | 208280 | 2020-06-04 | Washington | Pennsylvania | 42125 | 140 | 6 |
211362 | 211362 | 2020-06-05 | Washington | Pennsylvania | 42125 | 141 | 6 |
214448 | 214448 | 2020-06-06 | Washington | Pennsylvania | 42125 | 146 | 6 |
217538 | 217538 | 2020-06-07 | Washington | Pennsylvania | 42125 | 147 | 6 |
220630 | 220630 | 2020-06-08 | Washington | Pennsylvania | 42125 | 149 | 6 |
223725 | 223725 | 2020-06-09 | Washington | Pennsylvania | 42125 | 150 | 6 |
226825 | 226825 | 2020-06-10 | Washington | Pennsylvania | 42125 | 151 | 6 |
229929 | 229929 | 2020-06-11 | Washington | Pennsylvania | 42125 | 151 | 6 |
233034 | 233034 | 2020-06-12 | Washington | Pennsylvania | 42125 | 153 | 6 |
236139 | 236139 | 2020-06-13 | Washington | Pennsylvania | 42125 | 155 | 6 |
239247 | 239247 | 2020-06-14 | Washington | Pennsylvania | 42125 | 155 | 6 |
242356 | 242356 | 2020-06-15 | Washington | Pennsylvania | 42125 | 156 | 6 |
245468 | 245468 | 2020-06-16 | Washington | Pennsylvania | 42125 | 156 | 6 |
248581 | 248581 | 2020-06-17 | Washington | Pennsylvania | 42125 | 158 | 6 |
251696 | 251696 | 2020-06-18 | Washington | Pennsylvania | 42125 | 158 | 6 |
254811 | 254811 | 2020-06-19 | Washington | Pennsylvania | 42125 | 162 | 6 |
257937 | 257937 | 2020-06-20 | Washington | Pennsylvania | 42125 | 165 | 6 |
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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);