ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
66 rows where "date" is on date 2022-04-10 and state = "South Dakota" sorted by date descending
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fips 66
- 46003 1
- 46005 1
- 46007 1
- 46009 1
- 46011 1
- 46013 1
- 46015 1
- 46017 1
- 46019 1
- 46021 1
- 46023 1
- 46025 1
- 46027 1
- 46029 1
- 46031 1
- 46033 1
- 46035 1
- 46037 1
- 46039 1
- 46041 1
- 46043 1
- 46045 1
- 46047 1
- 46049 1
- 46051 1
- 46053 1
- 46055 1
- 46057 1
- 46059 1
- 46061 1
- 46063 1
- 46065 1
- 46067 1
- 46069 1
- 46071 1
- 46073 1
- 46075 1
- 46077 1
- 46079 1
- 46081 1
- 46083 1
- 46085 1
- 46087 1
- 46089 1
- 46091 1
- 46093 1
- 46095 1
- 46097 1
- 46099 1
- 46101 1
- 46102 1
- 46103 1
- 46105 1
- 46107 1
- 46109 1
- 46111 1
- 46115 1
- 46117 1
- 46119 1
- 46121 1
- 46123 1
- 46125 1
- 46127 1
- 46129 1
- 46135 1
- 46137 1
county 66
- Aurora 1
- Beadle 1
- Bennett 1
- Bon Homme 1
- Brookings 1
- Brown 1
- Brule 1
- Buffalo 1
- Butte 1
- Campbell 1
- Charles Mix 1
- Clark 1
- Clay 1
- Codington 1
- Corson 1
- Custer 1
- Davison 1
- Day 1
- Deuel 1
- Dewey 1
- Douglas 1
- Edmunds 1
- Fall River 1
- Faulk 1
- Grant 1
- Gregory 1
- Haakon 1
- Hamlin 1
- Hand 1
- Hanson 1
- Harding 1
- Hughes 1
- Hutchinson 1
- Hyde 1
- Jackson 1
- Jerauld 1
- Jones 1
- Kingsbury 1
- Lake 1
- Lawrence 1
- Lincoln 1
- Lyman 1
- Marshall 1
- McCook 1
- McPherson 1
- Meade 1
- Mellette 1
- Miner 1
- Minnehaha 1
- Moody 1
- Oglala Lakota 1
- Pennington 1
- Perkins 1
- Potter 1
- Roberts 1
- Sanborn 1
- Spink 1
- Stanley 1
- Sully 1
- Todd 1
- Tripp 1
- Turner 1
- Union 1
- Walworth 1
- Yankton 1
- Ziebach 1
state 1
- South Dakota · 66 ✖
Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
2394585 | 2394585 | 2022-04-10 | Aurora | South Dakota | 46003 | 768 | 17 |
2394586 | 2394586 | 2022-04-10 | Beadle | South Dakota | 46005 | 4585 | 59 |
2394587 | 2394587 | 2022-04-10 | Bennett | South Dakota | 46007 | 788 | 14 |
2394588 | 2394588 | 2022-04-10 | Bon Homme | South Dakota | 46009 | 2291 | 38 |
2394589 | 2394589 | 2022-04-10 | Brookings | South Dakota | 46011 | 8096 | 52 |
2394590 | 2394590 | 2022-04-10 | Brown | South Dakota | 46013 | 10289 | 121 |
2394591 | 2394591 | 2022-04-10 | Brule | South Dakota | 46015 | 1411 | 20 |
2394592 | 2394592 | 2022-04-10 | Buffalo | South Dakota | 46017 | 619 | 18 |
2394593 | 2394593 | 2022-04-10 | Butte | South Dakota | 46019 | 2750 | 44 |
2394594 | 2394594 | 2022-04-10 | Campbell | South Dakota | 46021 | 266 | 7 |
2394595 | 2394595 | 2022-04-10 | Charles Mix | South Dakota | 46023 | 2927 | 35 |
2394596 | 2394596 | 2022-04-10 | Clark | South Dakota | 46025 | 797 | 9 |
2394597 | 2394597 | 2022-04-10 | Clay | South Dakota | 46027 | 3489 | 21 |
2394598 | 2394598 | 2022-04-10 | Codington | South Dakota | 46029 | 8408 | 99 |
2394599 | 2394599 | 2022-04-10 | Corson | South Dakota | 46031 | 1067 | 17 |
2394600 | 2394600 | 2022-04-10 | Custer | South Dakota | 46033 | 2027 | 25 |
2394601 | 2394601 | 2022-04-10 | Davison | South Dakota | 46035 | 5880 | 78 |
2394602 | 2394602 | 2022-04-10 | Day | South Dakota | 46037 | 1275 | 35 |
2394603 | 2394603 | 2022-04-10 | Deuel | South Dakota | 46039 | 1035 | 12 |
2394604 | 2394604 | 2022-04-10 | Dewey | South Dakota | 46041 | 3137 | 42 |
2394605 | 2394605 | 2022-04-10 | Douglas | South Dakota | 46043 | 681 | 16 |
2394606 | 2394606 | 2022-04-10 | Edmunds | South Dakota | 46045 | 939 | 16 |
2394607 | 2394607 | 2022-04-10 | Fall River | South Dakota | 46047 | 1804 | 39 |
2394608 | 2394608 | 2022-04-10 | Faulk | South Dakota | 46049 | 565 | 16 |
2394609 | 2394609 | 2022-04-10 | Grant | South Dakota | 46051 | 2039 | 50 |
2394610 | 2394610 | 2022-04-10 | Gregory | South Dakota | 46053 | 1064 | 34 |
2394611 | 2394611 | 2022-04-10 | Haakon | South Dakota | 46055 | 451 | 12 |
2394612 | 2394612 | 2022-04-10 | Hamlin | South Dakota | 46057 | 1500 | 41 |
2394613 | 2394613 | 2022-04-10 | Hand | South Dakota | 46059 | 561 | 12 |
2394614 | 2394614 | 2022-04-10 | Hanson | South Dakota | 46061 | 655 | 6 |
2394615 | 2394615 | 2022-04-10 | Harding | South Dakota | 46063 | 201 | 3 |
2394616 | 2394616 | 2022-04-10 | Hughes | South Dakota | 46065 | 4313 | 58 |
2394617 | 2394617 | 2022-04-10 | Hutchinson | South Dakota | 46067 | 1730 | 36 |
2394618 | 2394618 | 2022-04-10 | Hyde | South Dakota | 46069 | 306 | 8 |
2394619 | 2394619 | 2022-04-10 | Jackson | South Dakota | 46071 | 629 | 21 |
2394620 | 2394620 | 2022-04-10 | Jerauld | South Dakota | 46073 | 415 | 20 |
2394621 | 2394621 | 2022-04-10 | Jones | South Dakota | 46075 | 177 | 2 |
2394622 | 2394622 | 2022-04-10 | Kingsbury | South Dakota | 46077 | 1312 | 21 |
2394623 | 2394623 | 2022-04-10 | Lake | South Dakota | 46079 | 2326 | 28 |
2394624 | 2394624 | 2022-04-10 | Lawrence | South Dakota | 46081 | 6565 | 83 |
2394625 | 2394625 | 2022-04-10 | Lincoln | South Dakota | 46083 | 15484 | 102 |
2394626 | 2394626 | 2022-04-10 | Lyman | South Dakota | 46085 | 1203 | 12 |
2394627 | 2394627 | 2022-04-10 | Marshall | South Dakota | 46091 | 784 | 13 |
2394628 | 2394628 | 2022-04-10 | McCook | South Dakota | 46087 | 1340 | 31 |
2394629 | 2394629 | 2022-04-10 | McPherson | South Dakota | 46089 | 425 | 9 |
2394630 | 2394630 | 2022-04-10 | Meade | South Dakota | 46093 | 7004 | 62 |
2394631 | 2394631 | 2022-04-10 | Mellette | South Dakota | 46095 | 527 | 8 |
2394632 | 2394632 | 2022-04-10 | Miner | South Dakota | 46097 | 456 | 13 |
2394633 | 2394633 | 2022-04-10 | Minnehaha | South Dakota | 46099 | 57034 | 513 |
2394634 | 2394634 | 2022-04-10 | Moody | South Dakota | 46101 | 1376 | 28 |
2394635 | 2394635 | 2022-04-10 | Oglala Lakota | South Dakota | 46102 | 3923 | 62 |
2394636 | 2394636 | 2022-04-10 | Pennington | South Dakota | 46103 | 32674 | 340 |
2394637 | 2394637 | 2022-04-10 | Perkins | South Dakota | 46105 | 682 | 18 |
2394638 | 2394638 | 2022-04-10 | Potter | South Dakota | 46107 | 704 | 7 |
2394639 | 2394639 | 2022-04-10 | Roberts | South Dakota | 46109 | 2427 | 53 |
2394640 | 2394640 | 2022-04-10 | Sanborn | South Dakota | 46111 | 573 | 6 |
2394641 | 2394641 | 2022-04-10 | Spink | South Dakota | 46115 | 1414 | 35 |
2394642 | 2394642 | 2022-04-10 | Stanley | South Dakota | 46117 | 635 | 7 |
2394643 | 2394643 | 2022-04-10 | Sully | South Dakota | 46119 | 245 | 3 |
2394644 | 2394644 | 2022-04-10 | Todd | South Dakota | 46121 | 2972 | 52 |
2394645 | 2394645 | 2022-04-10 | Tripp | South Dakota | 46123 | 1379 | 24 |
2394646 | 2394646 | 2022-04-10 | Turner | South Dakota | 46125 | 1964 | 62 |
2394647 | 2394647 | 2022-04-10 | Union | South Dakota | 46127 | 4006 | 52 |
2394648 | 2394648 | 2022-04-10 | Walworth | South Dakota | 46129 | 1312 | 26 |
2394649 | 2394649 | 2022-04-10 | Yankton | South Dakota | 46135 | 5902 | 59 |
2394650 | 2394650 | 2022-04-10 | Ziebach | South Dakota | 46137 | 663 | 11 |
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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);