ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
2,229 rows where county = "Potter" sorted by cases
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: date (date)
state 3
- Pennsylvania 785
- Texas 784
- South Dakota 660
county 1
- Potter · 2,229 ✖
Link | rowid | date | county | state | fips | cases ▼ | deaths |
---|---|---|---|---|---|---|---|
5867 | 5867 | 2020-03-20 | Potter | Pennsylvania | 42105 | 1 | 0 |
6871 | 6871 | 2020-03-21 | Potter | Pennsylvania | 42105 | 1 | 0 |
7990 | 7990 | 2020-03-22 | Potter | Pennsylvania | 42105 | 1 | 0 |
9201 | 9201 | 2020-03-23 | Potter | Pennsylvania | 42105 | 1 | 0 |
10525 | 10525 | 2020-03-24 | Potter | Pennsylvania | 42105 | 1 | 0 |
11990 | 11990 | 2020-03-25 | Potter | Pennsylvania | 42105 | 1 | 0 |
13611 | 13611 | 2020-03-26 | Potter | Pennsylvania | 42105 | 1 | 0 |
15358 | 15358 | 2020-03-27 | Potter | Pennsylvania | 42105 | 1 | 0 |
362719 | 362719 | 2020-07-23 | Potter | South Dakota | 46107 | 1 | 0 |
365925 | 365925 | 2020-07-24 | Potter | South Dakota | 46107 | 1 | 0 |
369134 | 369134 | 2020-07-25 | Potter | South Dakota | 46107 | 1 | 0 |
372346 | 372346 | 2020-07-26 | Potter | South Dakota | 46107 | 1 | 0 |
375559 | 375559 | 2020-07-27 | Potter | South Dakota | 46107 | 1 | 0 |
378775 | 378775 | 2020-07-28 | Potter | South Dakota | 46107 | 1 | 0 |
381992 | 381992 | 2020-07-29 | Potter | South Dakota | 46107 | 1 | 0 |
385210 | 385210 | 2020-07-30 | Potter | South Dakota | 46107 | 1 | 0 |
388427 | 388427 | 2020-07-31 | Potter | South Dakota | 46107 | 1 | 0 |
391644 | 391644 | 2020-08-01 | Potter | South Dakota | 46107 | 1 | 0 |
394860 | 394860 | 2020-08-02 | Potter | South Dakota | 46107 | 1 | 0 |
398077 | 398077 | 2020-08-03 | Potter | South Dakota | 46107 | 1 | 0 |
401292 | 401292 | 2020-08-04 | Potter | South Dakota | 46107 | 1 | 0 |
404510 | 404510 | 2020-08-05 | Potter | South Dakota | 46107 | 1 | 0 |
407730 | 407730 | 2020-08-06 | Potter | South Dakota | 46107 | 1 | 0 |
410949 | 410949 | 2020-08-07 | Potter | South Dakota | 46107 | 1 | 0 |
414169 | 414169 | 2020-08-08 | Potter | South Dakota | 46107 | 1 | 0 |
417390 | 417390 | 2020-08-09 | Potter | South Dakota | 46107 | 1 | 0 |
420611 | 420611 | 2020-08-10 | Potter | South Dakota | 46107 | 1 | 0 |
423833 | 423833 | 2020-08-11 | Potter | South Dakota | 46107 | 1 | 0 |
427056 | 427056 | 2020-08-12 | Potter | South Dakota | 46107 | 1 | 0 |
6983 | 6983 | 2020-03-21 | Potter | Texas | 48375 | 2 | 0 |
8113 | 8113 | 2020-03-22 | Potter | Texas | 48375 | 2 | 0 |
9332 | 9332 | 2020-03-23 | Potter | Texas | 48375 | 2 | 0 |
10674 | 10674 | 2020-03-24 | Potter | Texas | 48375 | 2 | 0 |
12178 | 12178 | 2020-03-25 | Potter | Texas | 48375 | 2 | 0 |
13811 | 13811 | 2020-03-26 | Potter | Texas | 48375 | 2 | 0 |
15569 | 15569 | 2020-03-27 | Potter | Texas | 48375 | 2 | 0 |
17210 | 17210 | 2020-03-28 | Potter | Pennsylvania | 42105 | 2 | 0 |
17440 | 17440 | 2020-03-28 | Potter | Texas | 48375 | 2 | 0 |
19149 | 19149 | 2020-03-29 | Potter | Pennsylvania | 42105 | 2 | 0 |
21199 | 21199 | 2020-03-30 | Potter | Pennsylvania | 42105 | 2 | 0 |
23335 | 23335 | 2020-03-31 | Potter | Pennsylvania | 42105 | 2 | 0 |
25533 | 25533 | 2020-04-01 | Potter | Pennsylvania | 42105 | 2 | 0 |
27806 | 27806 | 2020-04-02 | Potter | Pennsylvania | 42105 | 2 | 0 |
30140 | 30140 | 2020-04-03 | Potter | Pennsylvania | 42105 | 2 | 0 |
430283 | 430283 | 2020-08-13 | Potter | South Dakota | 46107 | 2 | 0 |
433508 | 433508 | 2020-08-14 | Potter | South Dakota | 46107 | 2 | 0 |
436735 | 436735 | 2020-08-15 | Potter | South Dakota | 46107 | 2 | 0 |
439960 | 439960 | 2020-08-16 | Potter | South Dakota | 46107 | 2 | 0 |
443187 | 443187 | 2020-08-17 | Potter | South Dakota | 46107 | 2 | 0 |
446413 | 446413 | 2020-08-18 | Potter | South Dakota | 46107 | 2 | 0 |
449641 | 449641 | 2020-08-19 | Potter | South Dakota | 46107 | 2 | 0 |
32530 | 32530 | 2020-04-04 | Potter | Pennsylvania | 42105 | 3 | 0 |
34966 | 34966 | 2020-04-05 | Potter | Pennsylvania | 42105 | 3 | 0 |
37441 | 37441 | 2020-04-06 | Potter | Pennsylvania | 42105 | 3 | 0 |
39964 | 39964 | 2020-04-07 | Potter | Pennsylvania | 42105 | 3 | 0 |
42524 | 42524 | 2020-04-08 | Potter | Pennsylvania | 42105 | 3 | 0 |
45110 | 45110 | 2020-04-09 | Potter | Pennsylvania | 42105 | 3 | 0 |
47727 | 47727 | 2020-04-10 | Potter | Pennsylvania | 42105 | 3 | 0 |
452869 | 452869 | 2020-08-20 | Potter | South Dakota | 46107 | 3 | 0 |
456097 | 456097 | 2020-08-21 | Potter | South Dakota | 46107 | 3 | 0 |
19396 | 19396 | 2020-03-29 | Potter | Texas | 48375 | 4 | 0 |
50384 | 50384 | 2020-04-11 | Potter | Pennsylvania | 42105 | 4 | 0 |
53057 | 53057 | 2020-04-12 | Potter | Pennsylvania | 42105 | 4 | 0 |
55742 | 55742 | 2020-04-13 | Potter | Pennsylvania | 42105 | 4 | 0 |
58445 | 58445 | 2020-04-14 | Potter | Pennsylvania | 42105 | 4 | 0 |
61160 | 61160 | 2020-04-15 | Potter | Pennsylvania | 42105 | 4 | 0 |
63886 | 63886 | 2020-04-16 | Potter | Pennsylvania | 42105 | 4 | 0 |
66632 | 66632 | 2020-04-17 | Potter | Pennsylvania | 42105 | 4 | 0 |
69390 | 69390 | 2020-04-18 | Potter | Pennsylvania | 42105 | 4 | 0 |
72157 | 72157 | 2020-04-19 | Potter | Pennsylvania | 42105 | 4 | 0 |
74932 | 74932 | 2020-04-20 | Potter | Pennsylvania | 42105 | 4 | 0 |
77714 | 77714 | 2020-04-21 | Potter | Pennsylvania | 42105 | 4 | 0 |
80504 | 80504 | 2020-04-22 | Potter | Pennsylvania | 42105 | 4 | 0 |
83303 | 83303 | 2020-04-23 | Potter | Pennsylvania | 42105 | 4 | 0 |
86107 | 86107 | 2020-04-24 | Potter | Pennsylvania | 42105 | 4 | 0 |
88921 | 88921 | 2020-04-25 | Potter | Pennsylvania | 42105 | 4 | 0 |
91737 | 91737 | 2020-04-26 | Potter | Pennsylvania | 42105 | 4 | 0 |
94564 | 94564 | 2020-04-27 | Potter | Pennsylvania | 42105 | 4 | 0 |
97403 | 97403 | 2020-04-28 | Potter | Pennsylvania | 42105 | 4 | 0 |
100252 | 100252 | 2020-04-29 | Potter | Pennsylvania | 42105 | 4 | 0 |
103105 | 103105 | 2020-04-30 | Potter | Pennsylvania | 42105 | 4 | 0 |
105968 | 105968 | 2020-05-01 | Potter | Pennsylvania | 42105 | 4 | 0 |
108835 | 108835 | 2020-05-02 | Potter | Pennsylvania | 42105 | 4 | 0 |
111709 | 111709 | 2020-05-03 | Potter | Pennsylvania | 42105 | 4 | 0 |
114591 | 114591 | 2020-05-04 | Potter | Pennsylvania | 42105 | 4 | 0 |
117472 | 117472 | 2020-05-05 | Potter | Pennsylvania | 42105 | 4 | 0 |
120434 | 120434 | 2020-05-06 | Potter | Pennsylvania | 42105 | 4 | 0 |
123411 | 123411 | 2020-05-07 | Potter | Pennsylvania | 42105 | 4 | 0 |
126394 | 126394 | 2020-05-08 | Potter | Pennsylvania | 42105 | 4 | 0 |
129383 | 129383 | 2020-05-09 | Potter | Pennsylvania | 42105 | 4 | 0 |
132372 | 132372 | 2020-05-10 | Potter | Pennsylvania | 42105 | 4 | 0 |
135363 | 135363 | 2020-05-11 | Potter | Pennsylvania | 42105 | 4 | 0 |
138353 | 138353 | 2020-05-12 | Potter | Pennsylvania | 42105 | 4 | 0 |
141349 | 141349 | 2020-05-13 | Potter | Pennsylvania | 42105 | 4 | 0 |
144345 | 144345 | 2020-05-14 | Potter | Pennsylvania | 42105 | 4 | 0 |
147346 | 147346 | 2020-05-15 | Potter | Pennsylvania | 42105 | 4 | 0 |
150353 | 150353 | 2020-05-16 | Potter | Pennsylvania | 42105 | 4 | 0 |
153364 | 153364 | 2020-05-17 | Potter | Pennsylvania | 42105 | 4 | 0 |
156381 | 156381 | 2020-05-18 | Potter | Pennsylvania | 42105 | 4 | 0 |
159402 | 159402 | 2020-05-19 | Potter | Pennsylvania | 42105 | 4 | 0 |
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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);