ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
786 rows where county = "Lebanon" sorted by fips
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: cases, date (date)
deaths 268 ✖
- 295 34
- 0 22
- 518 22
- 54 19
- 57 19
- 294 16
- 264 14
- 514 14
- 59 12
- 66 11
- 55 10
- 301 10
- 40 9
- 43 9
- 309 9
- 505 9
- 510 9
- 8 8
- 292 8
- 65 7
- 265 7
- 266 7
- 305 7
- 339 7
- 33 6
- 51 6
- 261 6
- 283 6
- 289 6
- 324 6
- 2 5
- 16 5
- 19 5
- 24 5
- 56 5
- 58 5
- 62 5
- 67 5
- 259 5
- 275 5
- 296 5
- 299 5
- 313 5
- 317 5
- 327 5
- 355 5
- 366 5
- 400 5
- 498 5
- 50 4
- 83 4
- 106 4
- 158 4
- 223 4
- 252 4
- 256 4
- 258 4
- 284 4
- 286 4
- 293 4
- 311 4
- 344 4
- 352 4
- 513 4
- 1 3
- 9 3
- 10 3
- 27 3
- 37 3
- 38 3
- 44 3
- 60 3
- 73 3
- 132 3
- 138 3
- 148 3
- 260 3
- 263 3
- 270 3
- 281 3
- 285 3
- 287 3
- 291 3
- 308 3
- 340 3
- 360 3
- 377 3
- 389 3
- 482 3
- 493 3
- 508 3
- 4 2
- 15 2
- 36 2
- 39 2
- 45 2
- 52 2
- 120 2
- 128 2
- 141 2
- 172 2
- 193 2
- 196 2
- 212 2
- 255 2
- 257 2
- 280 2
- 282 2
- 302 2
- 304 2
- 307 2
- 310 2
- 341 2
- 346 2
- 348 2
- 367 2
- 413 2
- 423 2
- 427 2
- 429 2
- 445 2
- 461 2
- 475 2
- 477 2
- 483 2
- 492 2
- 506 2
- 507 2
- 509 2
- 5 1
- 17 1
- 21 1
- 31 1
- 34 1
- 41 1
- 42 1
- 47 1
- 48 1
- 63 1
- 64 1
- 68 1
- 69 1
- 71 1
- 72 1
- 75 1
- 80 1
- 85 1
- 87 1
- 89 1
- 92 1
- 95 1
- 100 1
- 101 1
- 103 1
- 104 1
- 105 1
- 108 1
- 112 1
- 113 1
- 114 1
- 119 1
- 121 1
- 123 1
- 124 1
- 129 1
- 137 1
- 142 1
- 144 1
- 145 1
- 146 1
- 147 1
- 152 1
- 156 1
- 160 1
- 163 1
- 166 1
- 169 1
- 173 1
- 176 1
- 186 1
- 189 1
- 191 1
- 205 1
- 208 1
- 209 1
- 210 1
- 215 1
- 217 1
- 219 1
- 225 1
- 226 1
- 230 1
- 234 1
- 235 1
- 237 1
- 239 1
- 241 1
- 243 1
- 245 1
- 247 1
- 268 1
- 269 1
- 271 1
- 272 1
- 274 1
- 279 1
- 288 1
- 298 1
- 300 1
- 303 1
- 312 1
- 314 1
- 315 1
- 318 1
- 320 1
- 322 1
- 325 1
- 330 1
- 335 1
- 347 1
- 351 1
- 353 1
- 357 1
- 361 1
- 362 1
- 364 1
- 369 1
- 371 1
- 372 1
- 373 1
- 381 1
- 382 1
- 387 1
- 391 1
- 393 1
- 397 1
- 405 1
- 406 1
- 409 1
- 414 1
- 420 1
- 421 1
- 424 1
- 426 1
- 435 1
- 438 1
- 440 1
- 444 1
- 450 1
- 456 1
- 459 1
- 464 1
- 469 1
- 472 1
- 478 1
- 479 1
- 484 1
- 486 1
- 489 1
- 490 1
- 497 1
- 500 1
- 502 1
- 503 1
- 511 1
- 515 1
- 516 1
- 517 1
state 1
- Pennsylvania 786
fips 1
- 42075 786
county 1
- Lebanon · 786 ✖
Link | rowid | date | county | state | fips ▼ | cases | deaths |
---|---|---|---|---|---|---|---|
4987 | 4987 | 2020-03-19 | Lebanon | Pennsylvania | 42075 | 1 | 0 |
5859 | 5859 | 2020-03-20 | Lebanon | Pennsylvania | 42075 | 1 | 0 |
6862 | 6862 | 2020-03-21 | Lebanon | Pennsylvania | 42075 | 2 | 0 |
7980 | 7980 | 2020-03-22 | Lebanon | Pennsylvania | 42075 | 3 | 0 |
9191 | 9191 | 2020-03-23 | Lebanon | Pennsylvania | 42075 | 3 | 0 |
10515 | 10515 | 2020-03-24 | Lebanon | Pennsylvania | 42075 | 3 | 0 |
11979 | 11979 | 2020-03-25 | Lebanon | Pennsylvania | 42075 | 3 | 0 |
13600 | 13600 | 2020-03-26 | Lebanon | Pennsylvania | 42075 | 4 | 0 |
15346 | 15346 | 2020-03-27 | Lebanon | Pennsylvania | 42075 | 12 | 0 |
17196 | 17196 | 2020-03-28 | Lebanon | Pennsylvania | 42075 | 15 | 0 |
19134 | 19134 | 2020-03-29 | Lebanon | Pennsylvania | 42075 | 19 | 0 |
21184 | 21184 | 2020-03-30 | Lebanon | Pennsylvania | 42075 | 27 | 0 |
23320 | 23320 | 2020-03-31 | Lebanon | Pennsylvania | 42075 | 28 | 0 |
25518 | 25518 | 2020-04-01 | Lebanon | Pennsylvania | 42075 | 36 | 0 |
27791 | 27791 | 2020-04-02 | Lebanon | Pennsylvania | 42075 | 45 | 0 |
30125 | 30125 | 2020-04-03 | Lebanon | Pennsylvania | 42075 | 54 | 0 |
32515 | 32515 | 2020-04-04 | Lebanon | Pennsylvania | 42075 | 87 | 0 |
34951 | 34951 | 2020-04-05 | Lebanon | Pennsylvania | 42075 | 106 | 0 |
37426 | 37426 | 2020-04-06 | Lebanon | Pennsylvania | 42075 | 124 | 0 |
39949 | 39949 | 2020-04-07 | Lebanon | Pennsylvania | 42075 | 145 | 0 |
42509 | 42509 | 2020-04-08 | Lebanon | Pennsylvania | 42075 | 169 | 0 |
45095 | 45095 | 2020-04-09 | Lebanon | Pennsylvania | 42075 | 187 | 0 |
47712 | 47712 | 2020-04-10 | Lebanon | Pennsylvania | 42075 | 218 | 1 |
50369 | 50369 | 2020-04-11 | Lebanon | Pennsylvania | 42075 | 232 | 1 |
53042 | 53042 | 2020-04-12 | Lebanon | Pennsylvania | 42075 | 270 | 1 |
55727 | 55727 | 2020-04-13 | Lebanon | Pennsylvania | 42075 | 284 | 2 |
58430 | 58430 | 2020-04-14 | Lebanon | Pennsylvania | 42075 | 328 | 2 |
61145 | 61145 | 2020-04-15 | Lebanon | Pennsylvania | 42075 | 349 | 2 |
63871 | 63871 | 2020-04-16 | Lebanon | Pennsylvania | 42075 | 380 | 2 |
66617 | 66617 | 2020-04-17 | Lebanon | Pennsylvania | 42075 | 424 | 2 |
69375 | 69375 | 2020-04-18 | Lebanon | Pennsylvania | 42075 | 458 | 4 |
72142 | 72142 | 2020-04-19 | Lebanon | Pennsylvania | 42075 | 484 | 4 |
74917 | 74917 | 2020-04-20 | Lebanon | Pennsylvania | 42075 | 502 | 5 |
77699 | 77699 | 2020-04-21 | Lebanon | Pennsylvania | 42075 | 525 | 8 |
80489 | 80489 | 2020-04-22 | Lebanon | Pennsylvania | 42075 | 535 | 8 |
83288 | 83288 | 2020-04-23 | Lebanon | Pennsylvania | 42075 | 544 | 8 |
86092 | 86092 | 2020-04-24 | Lebanon | Pennsylvania | 42075 | 575 | 8 |
88906 | 88906 | 2020-04-25 | Lebanon | Pennsylvania | 42075 | 592 | 8 |
91722 | 91722 | 2020-04-26 | Lebanon | Pennsylvania | 42075 | 612 | 8 |
94549 | 94549 | 2020-04-27 | Lebanon | Pennsylvania | 42075 | 621 | 8 |
97388 | 97388 | 2020-04-28 | Lebanon | Pennsylvania | 42075 | 635 | 8 |
100237 | 100237 | 2020-04-29 | Lebanon | Pennsylvania | 42075 | 648 | 9 |
103090 | 103090 | 2020-04-30 | Lebanon | Pennsylvania | 42075 | 676 | 9 |
105953 | 105953 | 2020-05-01 | Lebanon | Pennsylvania | 42075 | 694 | 9 |
108820 | 108820 | 2020-05-02 | Lebanon | Pennsylvania | 42075 | 710 | 10 |
111694 | 111694 | 2020-05-03 | Lebanon | Pennsylvania | 42075 | 735 | 10 |
114576 | 114576 | 2020-05-04 | Lebanon | Pennsylvania | 42075 | 756 | 10 |
117457 | 117457 | 2020-05-05 | Lebanon | Pennsylvania | 42075 | 766 | 15 |
120419 | 120419 | 2020-05-06 | Lebanon | Pennsylvania | 42075 | 774 | 15 |
123396 | 123396 | 2020-05-07 | Lebanon | Pennsylvania | 42075 | 785 | 16 |
126379 | 126379 | 2020-05-08 | Lebanon | Pennsylvania | 42075 | 797 | 16 |
129368 | 129368 | 2020-05-09 | Lebanon | Pennsylvania | 42075 | 805 | 16 |
132357 | 132357 | 2020-05-10 | Lebanon | Pennsylvania | 42075 | 811 | 16 |
135348 | 135348 | 2020-05-11 | Lebanon | Pennsylvania | 42075 | 815 | 16 |
138338 | 138338 | 2020-05-12 | Lebanon | Pennsylvania | 42075 | 825 | 17 |
141334 | 141334 | 2020-05-13 | Lebanon | Pennsylvania | 42075 | 849 | 19 |
144330 | 144330 | 2020-05-14 | Lebanon | Pennsylvania | 42075 | 856 | 19 |
147331 | 147331 | 2020-05-15 | Lebanon | Pennsylvania | 42075 | 863 | 19 |
150338 | 150338 | 2020-05-16 | Lebanon | Pennsylvania | 42075 | 873 | 19 |
153349 | 153349 | 2020-05-17 | Lebanon | Pennsylvania | 42075 | 874 | 19 |
156366 | 156366 | 2020-05-18 | Lebanon | Pennsylvania | 42075 | 877 | 21 |
159387 | 159387 | 2020-05-19 | Lebanon | Pennsylvania | 42075 | 880 | 24 |
162414 | 162414 | 2020-05-20 | Lebanon | Pennsylvania | 42075 | 885 | 24 |
165443 | 165443 | 2020-05-21 | Lebanon | Pennsylvania | 42075 | 887 | 24 |
168479 | 168479 | 2020-05-22 | Lebanon | Pennsylvania | 42075 | 892 | 24 |
171518 | 171518 | 2020-05-23 | Lebanon | Pennsylvania | 42075 | 900 | 24 |
174560 | 174560 | 2020-05-24 | Lebanon | Pennsylvania | 42075 | 909 | 27 |
177604 | 177604 | 2020-05-25 | Lebanon | Pennsylvania | 42075 | 912 | 27 |
180647 | 180647 | 2020-05-26 | Lebanon | Pennsylvania | 42075 | 922 | 27 |
183697 | 183697 | 2020-05-27 | Lebanon | Pennsylvania | 42075 | 936 | 31 |
186754 | 186754 | 2020-05-28 | Lebanon | Pennsylvania | 42075 | 944 | 33 |
189815 | 189815 | 2020-05-29 | Lebanon | Pennsylvania | 42075 | 950 | 33 |
192880 | 192880 | 2020-05-30 | Lebanon | Pennsylvania | 42075 | 958 | 33 |
195949 | 195949 | 2020-05-31 | Lebanon | Pennsylvania | 42075 | 969 | 33 |
199022 | 199022 | 2020-06-01 | Lebanon | Pennsylvania | 42075 | 972 | 33 |
202097 | 202097 | 2020-06-02 | Lebanon | Pennsylvania | 42075 | 980 | 33 |
205174 | 205174 | 2020-06-03 | Lebanon | Pennsylvania | 42075 | 994 | 34 |
208255 | 208255 | 2020-06-04 | Lebanon | Pennsylvania | 42075 | 997 | 36 |
211337 | 211337 | 2020-06-05 | Lebanon | Pennsylvania | 42075 | 1000 | 36 |
214423 | 214423 | 2020-06-06 | Lebanon | Pennsylvania | 42075 | 1021 | 37 |
217513 | 217513 | 2020-06-07 | Lebanon | Pennsylvania | 42075 | 1062 | 37 |
220605 | 220605 | 2020-06-08 | Lebanon | Pennsylvania | 42075 | 1072 | 37 |
223700 | 223700 | 2020-06-09 | Lebanon | Pennsylvania | 42075 | 1086 | 38 |
226800 | 226800 | 2020-06-10 | Lebanon | Pennsylvania | 42075 | 1091 | 38 |
229904 | 229904 | 2020-06-11 | Lebanon | Pennsylvania | 42075 | 1106 | 38 |
233009 | 233009 | 2020-06-12 | Lebanon | Pennsylvania | 42075 | 1140 | 39 |
236114 | 236114 | 2020-06-13 | Lebanon | Pennsylvania | 42075 | 1162 | 39 |
239222 | 239222 | 2020-06-14 | Lebanon | Pennsylvania | 42075 | 1182 | 40 |
242331 | 242331 | 2020-06-15 | Lebanon | Pennsylvania | 42075 | 1190 | 40 |
245443 | 245443 | 2020-06-16 | Lebanon | Pennsylvania | 42075 | 1193 | 40 |
248556 | 248556 | 2020-06-17 | Lebanon | Pennsylvania | 42075 | 1200 | 40 |
251671 | 251671 | 2020-06-18 | Lebanon | Pennsylvania | 42075 | 1210 | 40 |
254786 | 254786 | 2020-06-19 | Lebanon | Pennsylvania | 42075 | 1226 | 40 |
257912 | 257912 | 2020-06-20 | Lebanon | Pennsylvania | 42075 | 1240 | 40 |
261039 | 261039 | 2020-06-21 | Lebanon | Pennsylvania | 42075 | 1251 | 40 |
264167 | 264167 | 2020-06-22 | Lebanon | Pennsylvania | 42075 | 1261 | 40 |
267295 | 267295 | 2020-06-23 | Lebanon | Pennsylvania | 42075 | 1272 | 41 |
270429 | 270429 | 2020-06-24 | Lebanon | Pennsylvania | 42075 | 1278 | 42 |
273568 | 273568 | 2020-06-25 | Lebanon | Pennsylvania | 42075 | 1291 | 43 |
276715 | 276715 | 2020-06-26 | Lebanon | Pennsylvania | 42075 | 1300 | 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]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);