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 2022-03-09 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 |
---|---|---|---|---|---|---|---|
2290479 | 2290479 | 2022-03-09 | Aurora | South Dakota | 46003 | 767 | 17 |
2290480 | 2290480 | 2022-03-09 | Beadle | South Dakota | 46005 | 4567 | 57 |
2290481 | 2290481 | 2022-03-09 | Bennett | South Dakota | 46007 | 785 | 14 |
2290482 | 2290482 | 2022-03-09 | Bon Homme | South Dakota | 46009 | 2289 | 38 |
2290483 | 2290483 | 2022-03-09 | Brookings | South Dakota | 46011 | 8075 | 51 |
2290484 | 2290484 | 2022-03-09 | Brown | South Dakota | 46013 | 10240 | 119 |
2290485 | 2290485 | 2022-03-09 | Brule | South Dakota | 46015 | 1408 | 19 |
2290486 | 2290486 | 2022-03-09 | Buffalo | South Dakota | 46017 | 618 | 17 |
2290487 | 2290487 | 2022-03-09 | Butte | South Dakota | 46019 | 2729 | 44 |
2290488 | 2290488 | 2022-03-09 | Campbell | South Dakota | 46021 | 265 | 7 |
2290489 | 2290489 | 2022-03-09 | Charles Mix | South Dakota | 46023 | 2923 | 33 |
2290490 | 2290490 | 2022-03-09 | Clark | South Dakota | 46025 | 785 | 8 |
2290491 | 2290491 | 2022-03-09 | Clay | South Dakota | 46027 | 3480 | 21 |
2290492 | 2290492 | 2022-03-09 | Codington | South Dakota | 46029 | 8375 | 99 |
2290493 | 2290493 | 2022-03-09 | Corson | South Dakota | 46031 | 1060 | 17 |
2290494 | 2290494 | 2022-03-09 | Custer | South Dakota | 46033 | 2017 | 23 |
2290495 | 2290495 | 2022-03-09 | Davison | South Dakota | 46035 | 5846 | 78 |
2290496 | 2290496 | 2022-03-09 | Day | South Dakota | 46037 | 1269 | 35 |
2290497 | 2290497 | 2022-03-09 | Deuel | South Dakota | 46039 | 1034 | 12 |
2290498 | 2290498 | 2022-03-09 | Dewey | South Dakota | 46041 | 3134 | 40 |
2290499 | 2290499 | 2022-03-09 | Douglas | South Dakota | 46043 | 682 | 16 |
2290500 | 2290500 | 2022-03-09 | Edmunds | South Dakota | 46045 | 936 | 16 |
2290501 | 2290501 | 2022-03-09 | Fall River | South Dakota | 46047 | 1799 | 39 |
2290502 | 2290502 | 2022-03-09 | Faulk | South Dakota | 46049 | 562 | 16 |
2290503 | 2290503 | 2022-03-09 | Grant | South Dakota | 46051 | 2030 | 50 |
2290504 | 2290504 | 2022-03-09 | Gregory | South Dakota | 46053 | 1064 | 34 |
2290505 | 2290505 | 2022-03-09 | Haakon | South Dakota | 46055 | 450 | 12 |
2290506 | 2290506 | 2022-03-09 | Hamlin | South Dakota | 46057 | 1495 | 41 |
2290507 | 2290507 | 2022-03-09 | Hand | South Dakota | 46059 | 560 | 11 |
2290508 | 2290508 | 2022-03-09 | Hanson | South Dakota | 46061 | 652 | 6 |
2290509 | 2290509 | 2022-03-09 | Harding | South Dakota | 46063 | 200 | 3 |
2290510 | 2290510 | 2022-03-09 | Hughes | South Dakota | 46065 | 4292 | 57 |
2290511 | 2290511 | 2022-03-09 | Hutchinson | South Dakota | 46067 | 1726 | 36 |
2290512 | 2290512 | 2022-03-09 | Hyde | South Dakota | 46069 | 306 | 8 |
2290513 | 2290513 | 2022-03-09 | Jackson | South Dakota | 46071 | 627 | 21 |
2290514 | 2290514 | 2022-03-09 | Jerauld | South Dakota | 46073 | 412 | 20 |
2290515 | 2290515 | 2022-03-09 | Jones | South Dakota | 46075 | 177 | 2 |
2290516 | 2290516 | 2022-03-09 | Kingsbury | South Dakota | 46077 | 1309 | 21 |
2290517 | 2290517 | 2022-03-09 | Lake | South Dakota | 46079 | 2320 | 27 |
2290518 | 2290518 | 2022-03-09 | Lawrence | South Dakota | 46081 | 6548 | 82 |
2290519 | 2290519 | 2022-03-09 | Lincoln | South Dakota | 46083 | 15462 | 100 |
2290520 | 2290520 | 2022-03-09 | Lyman | South Dakota | 46085 | 1203 | 12 |
2290521 | 2290521 | 2022-03-09 | Marshall | South Dakota | 46091 | 781 | 13 |
2290522 | 2290522 | 2022-03-09 | McCook | South Dakota | 46087 | 1341 | 31 |
2290523 | 2290523 | 2022-03-09 | McPherson | South Dakota | 46089 | 426 | 9 |
2290524 | 2290524 | 2022-03-09 | Meade | South Dakota | 46093 | 6978 | 62 |
2290525 | 2290525 | 2022-03-09 | Mellette | South Dakota | 46095 | 524 | 7 |
2290526 | 2290526 | 2022-03-09 | Miner | South Dakota | 46097 | 454 | 13 |
2290527 | 2290527 | 2022-03-09 | Minnehaha | South Dakota | 46099 | 56891 | 505 |
2290528 | 2290528 | 2022-03-09 | Moody | South Dakota | 46101 | 1373 | 28 |
2290529 | 2290529 | 2022-03-09 | Oglala Lakota | South Dakota | 46102 | 3904 | 60 |
2290530 | 2290530 | 2022-03-09 | Pennington | South Dakota | 46103 | 32546 | 332 |
2290531 | 2290531 | 2022-03-09 | Perkins | South Dakota | 46105 | 680 | 18 |
2290532 | 2290532 | 2022-03-09 | Potter | South Dakota | 46107 | 698 | 7 |
2290533 | 2290533 | 2022-03-09 | Roberts | South Dakota | 46109 | 2416 | 50 |
2290534 | 2290534 | 2022-03-09 | Sanborn | South Dakota | 46111 | 572 | 6 |
2290535 | 2290535 | 2022-03-09 | Spink | South Dakota | 46115 | 1406 | 35 |
2290536 | 2290536 | 2022-03-09 | Stanley | South Dakota | 46117 | 631 | 6 |
2290537 | 2290537 | 2022-03-09 | Sully | South Dakota | 46119 | 245 | 3 |
2290538 | 2290538 | 2022-03-09 | Todd | South Dakota | 46121 | 2959 | 50 |
2290539 | 2290539 | 2022-03-09 | Tripp | South Dakota | 46123 | 1377 | 24 |
2290540 | 2290540 | 2022-03-09 | Turner | South Dakota | 46125 | 1957 | 62 |
2290541 | 2290541 | 2022-03-09 | Union | South Dakota | 46127 | 3997 | 52 |
2290542 | 2290542 | 2022-03-09 | Walworth | South Dakota | 46129 | 1307 | 25 |
2290543 | 2290543 | 2022-03-09 | Yankton | South Dakota | 46135 | 5897 | 56 |
2290544 | 2290544 | 2022-03-09 | Ziebach | South Dakota | 46137 | 665 | 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);