ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
777 rows where fips = 46135 and state = "South Dakota" sorted by rowid
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date (date) >30 ✖
- 2020-03-28 1
- 2020-03-29 1
- 2020-03-30 1
- 2020-03-31 1
- 2020-04-01 1
- 2020-04-02 1
- 2020-04-03 1
- 2020-04-04 1
- 2020-04-05 1
- 2020-04-06 1
- 2020-04-07 1
- 2020-04-08 1
- 2020-04-09 1
- 2020-04-10 1
- 2020-04-11 1
- 2020-04-12 1
- 2020-04-13 1
- 2020-04-14 1
- 2020-04-15 1
- 2020-04-16 1
- 2020-04-17 1
- 2020-04-18 1
- 2020-04-19 1
- 2020-04-20 1
- 2020-04-21 1
- 2020-04-22 1
- 2020-04-23 1
- 2020-04-24 1
- 2020-04-25 1
- 2020-04-26 1
- …
state 1
- South Dakota · 777 ✖
fips 1
- 46135 · 777 ✖
county 1
- Yankton 777
Link | rowid ▼ | date | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
17290 | 17290 | 2020-03-28 | Yankton | South Dakota | 46135 | 1 | 0 |
19235 | 19235 | 2020-03-29 | Yankton | South Dakota | 46135 | 4 | 0 |
21288 | 21288 | 2020-03-30 | Yankton | South Dakota | 46135 | 4 | 0 |
23426 | 23426 | 2020-03-31 | Yankton | South Dakota | 46135 | 6 | 0 |
25624 | 25624 | 2020-04-01 | Yankton | South Dakota | 46135 | 8 | 0 |
27902 | 27902 | 2020-04-02 | Yankton | South Dakota | 46135 | 10 | 0 |
30237 | 30237 | 2020-04-03 | Yankton | South Dakota | 46135 | 11 | 0 |
32628 | 32628 | 2020-04-04 | Yankton | South Dakota | 46135 | 14 | 0 |
35064 | 35064 | 2020-04-05 | Yankton | South Dakota | 46135 | 14 | 0 |
37540 | 37540 | 2020-04-06 | Yankton | South Dakota | 46135 | 18 | 0 |
40063 | 40063 | 2020-04-07 | Yankton | South Dakota | 46135 | 15 | 0 |
42624 | 42624 | 2020-04-08 | Yankton | South Dakota | 46135 | 17 | 0 |
45211 | 45211 | 2020-04-09 | Yankton | South Dakota | 46135 | 18 | 0 |
47829 | 47829 | 2020-04-10 | Yankton | South Dakota | 46135 | 19 | 0 |
50487 | 50487 | 2020-04-11 | Yankton | South Dakota | 46135 | 20 | 0 |
53162 | 53162 | 2020-04-12 | Yankton | South Dakota | 46135 | 20 | 0 |
55848 | 55848 | 2020-04-13 | Yankton | South Dakota | 46135 | 22 | 0 |
58551 | 58551 | 2020-04-14 | Yankton | South Dakota | 46135 | 22 | 0 |
61266 | 61266 | 2020-04-15 | Yankton | South Dakota | 46135 | 22 | 0 |
63993 | 63993 | 2020-04-16 | Yankton | South Dakota | 46135 | 23 | 0 |
66739 | 66739 | 2020-04-17 | Yankton | South Dakota | 46135 | 23 | 0 |
69497 | 69497 | 2020-04-18 | Yankton | South Dakota | 46135 | 23 | 0 |
72264 | 72264 | 2020-04-19 | Yankton | South Dakota | 46135 | 23 | 0 |
75039 | 75039 | 2020-04-20 | Yankton | South Dakota | 46135 | 23 | 0 |
77821 | 77821 | 2020-04-21 | Yankton | South Dakota | 46135 | 23 | 0 |
80611 | 80611 | 2020-04-22 | Yankton | South Dakota | 46135 | 23 | 0 |
83410 | 83410 | 2020-04-23 | Yankton | South Dakota | 46135 | 25 | 0 |
86215 | 86215 | 2020-04-24 | Yankton | South Dakota | 46135 | 25 | 0 |
89030 | 89030 | 2020-04-25 | Yankton | South Dakota | 46135 | 26 | 0 |
91847 | 91847 | 2020-04-26 | Yankton | South Dakota | 46135 | 26 | 0 |
94675 | 94675 | 2020-04-27 | Yankton | South Dakota | 46135 | 27 | 0 |
97515 | 97515 | 2020-04-28 | Yankton | South Dakota | 46135 | 27 | 0 |
100365 | 100365 | 2020-04-29 | Yankton | South Dakota | 46135 | 27 | 0 |
103218 | 103218 | 2020-04-30 | Yankton | South Dakota | 46135 | 27 | 0 |
106081 | 106081 | 2020-05-01 | Yankton | South Dakota | 46135 | 27 | 0 |
108948 | 108948 | 2020-05-02 | Yankton | South Dakota | 46135 | 27 | 0 |
111822 | 111822 | 2020-05-03 | Yankton | South Dakota | 46135 | 28 | 0 |
114704 | 114704 | 2020-05-04 | Yankton | South Dakota | 46135 | 28 | 0 |
117660 | 117660 | 2020-05-05 | Yankton | South Dakota | 46135 | 28 | 0 |
120623 | 120623 | 2020-05-06 | Yankton | South Dakota | 46135 | 29 | 0 |
123601 | 123601 | 2020-05-07 | Yankton | South Dakota | 46135 | 29 | 0 |
126584 | 126584 | 2020-05-08 | Yankton | South Dakota | 46135 | 29 | 0 |
129573 | 129573 | 2020-05-09 | Yankton | South Dakota | 46135 | 29 | 0 |
132562 | 132562 | 2020-05-10 | Yankton | South Dakota | 46135 | 30 | 0 |
135553 | 135553 | 2020-05-11 | Yankton | South Dakota | 46135 | 30 | 0 |
138543 | 138543 | 2020-05-12 | Yankton | South Dakota | 46135 | 31 | 0 |
141539 | 141539 | 2020-05-13 | Yankton | South Dakota | 46135 | 33 | 0 |
144536 | 144536 | 2020-05-14 | Yankton | South Dakota | 46135 | 34 | 0 |
147537 | 147537 | 2020-05-15 | Yankton | South Dakota | 46135 | 38 | 0 |
150545 | 150545 | 2020-05-16 | Yankton | South Dakota | 46135 | 40 | 0 |
153556 | 153556 | 2020-05-17 | Yankton | South Dakota | 46135 | 40 | 0 |
156573 | 156573 | 2020-05-18 | Yankton | South Dakota | 46135 | 41 | 0 |
159594 | 159594 | 2020-05-19 | Yankton | South Dakota | 46135 | 42 | 0 |
162621 | 162621 | 2020-05-20 | Yankton | South Dakota | 46135 | 44 | 0 |
165650 | 165650 | 2020-05-21 | Yankton | South Dakota | 46135 | 44 | 0 |
168686 | 168686 | 2020-05-22 | Yankton | South Dakota | 46135 | 45 | 0 |
171725 | 171725 | 2020-05-23 | Yankton | South Dakota | 46135 | 46 | 0 |
174768 | 174768 | 2020-05-24 | Yankton | South Dakota | 46135 | 51 | 0 |
177812 | 177812 | 2020-05-25 | Yankton | South Dakota | 46135 | 51 | 0 |
180855 | 180855 | 2020-05-26 | Yankton | South Dakota | 46135 | 51 | 0 |
183905 | 183905 | 2020-05-27 | Yankton | South Dakota | 46135 | 51 | 0 |
186962 | 186962 | 2020-05-28 | Yankton | South Dakota | 46135 | 51 | 0 |
190026 | 190026 | 2020-05-29 | Yankton | South Dakota | 46135 | 51 | 0 |
193091 | 193091 | 2020-05-30 | Yankton | South Dakota | 46135 | 51 | 0 |
196161 | 196161 | 2020-05-31 | Yankton | South Dakota | 46135 | 51 | 0 |
199234 | 199234 | 2020-06-01 | Yankton | South Dakota | 46135 | 51 | 0 |
202309 | 202309 | 2020-06-02 | Yankton | South Dakota | 46135 | 51 | 0 |
205388 | 205388 | 2020-06-03 | Yankton | South Dakota | 46135 | 51 | 0 |
208470 | 208470 | 2020-06-04 | Yankton | South Dakota | 46135 | 51 | 0 |
211552 | 211552 | 2020-06-05 | Yankton | South Dakota | 46135 | 52 | 0 |
214639 | 214639 | 2020-06-06 | Yankton | South Dakota | 46135 | 53 | 0 |
217729 | 217729 | 2020-06-07 | Yankton | South Dakota | 46135 | 55 | 0 |
220821 | 220821 | 2020-06-08 | Yankton | South Dakota | 46135 | 58 | 0 |
223916 | 223916 | 2020-06-09 | Yankton | South Dakota | 46135 | 58 | 0 |
227016 | 227016 | 2020-06-10 | Yankton | South Dakota | 46135 | 58 | 0 |
230120 | 230120 | 2020-06-11 | Yankton | South Dakota | 46135 | 58 | 0 |
233225 | 233225 | 2020-06-12 | Yankton | South Dakota | 46135 | 58 | 0 |
236331 | 236331 | 2020-06-13 | Yankton | South Dakota | 46135 | 58 | 0 |
239439 | 239439 | 2020-06-14 | Yankton | South Dakota | 46135 | 58 | 0 |
242549 | 242549 | 2020-06-15 | Yankton | South Dakota | 46135 | 58 | 0 |
245661 | 245661 | 2020-06-16 | Yankton | South Dakota | 46135 | 60 | 0 |
248774 | 248774 | 2020-06-17 | Yankton | South Dakota | 46135 | 62 | 0 |
251889 | 251889 | 2020-06-18 | Yankton | South Dakota | 46135 | 63 | 0 |
255004 | 255004 | 2020-06-19 | Yankton | South Dakota | 46135 | 64 | 0 |
258130 | 258130 | 2020-06-20 | Yankton | South Dakota | 46135 | 65 | 0 |
261257 | 261257 | 2020-06-21 | Yankton | South Dakota | 46135 | 68 | 0 |
264385 | 264385 | 2020-06-22 | Yankton | South Dakota | 46135 | 69 | 0 |
267513 | 267513 | 2020-06-23 | Yankton | South Dakota | 46135 | 68 | 0 |
270647 | 270647 | 2020-06-24 | Yankton | South Dakota | 46135 | 70 | 0 |
273786 | 273786 | 2020-06-25 | Yankton | South Dakota | 46135 | 71 | 0 |
276933 | 276933 | 2020-06-26 | Yankton | South Dakota | 46135 | 74 | 0 |
280081 | 280081 | 2020-06-27 | Yankton | South Dakota | 46135 | 77 | 0 |
283227 | 283227 | 2020-06-28 | Yankton | South Dakota | 46135 | 78 | 0 |
286372 | 286372 | 2020-06-29 | Yankton | South Dakota | 46135 | 78 | 0 |
289523 | 289523 | 2020-06-30 | Yankton | South Dakota | 46135 | 77 | 0 |
292675 | 292675 | 2020-07-01 | Yankton | South Dakota | 46135 | 77 | 0 |
295831 | 295831 | 2020-07-02 | Yankton | South Dakota | 46135 | 78 | 0 |
298991 | 298991 | 2020-07-03 | Yankton | South Dakota | 46135 | 79 | 0 |
302155 | 302155 | 2020-07-04 | Yankton | South Dakota | 46135 | 79 | 0 |
305318 | 305318 | 2020-07-05 | Yankton | South Dakota | 46135 | 81 | 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);