State of South Dakota
County-by-County Breakdown (COVID-19)

TOTAL CASES: 123,886 | DECEASED: 2,012
U.S. CENSUS EST. POPULATION:884,659

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Last updated at 07/25/21 02:02 am CDT
Click on the county name for daily data reported by the New York Times

RANK COUNTY POPULATION
Est. by US Census
CASES DEATHS % OF POPULATION
AFFECTED
% OF ALL CASES
IN SD
% OF ALL DEATHS
IN SD
1 Minnehaha 193,134 31,851 365 16.492% 25.71% 18.14%
2 Pennington 113,775 14,041 206 12.341% 11.33% 10.24%
3 Lincoln 61,128 8,736 78 14.291% 7.05% 3.88%
4 Brown 38,839 5,650 95 14.547% 4.56% 4.72%
5 Codington 28,009 4,658 82 16.630% 3.76% 4.08%
6 Brookings 35,077 4,248 37 12.110% 3.43% 1.84%
7 Davison 19,775 3,258 69 16.475% 2.63% 3.43%
8 Yankton 22,814 3,113 33 13.645% 2.51% 1.64%
9 Lawrence 25,844 3,035 48 11.744% 2.45% 2.39%
10 Beadle 18,453 2,968 40 16.084% 2.40% 1.99%
11 Meade 28,332 2,818 31 9.946% 2.27% 1.54%
12 Hughes 17,526 2,530 42 14.436% 2.04% 2.09%
13 Union 15,932 2,238 43 14.047% 1.81% 2.14%
14 Oglala Lakota 14,177 2,130 49 15.024% 1.72% 2.44%
15 Clay 14,070 1,937 15 13.767% 1.56% 0.75%
16 Bon Homme 6,901 1,554 28 22.518% 1.25% 1.39%
17 Dewey 5,892 1,491 29 25.305% 1.20% 1.44%
18 Charles Mix 9,292 1,401 22 15.077% 1.13% 1.09%
19 Roberts 10,394 1,401 43 13.479% 1.13% 2.14%
20 Lake 12,797 1,390 20 10.862% 1.12% 0.99%
21 Todd 10,177 1,240 33 12.184% 1.00% 1.64%
22 Turner 8,384 1,183 58 14.110% 0.95% 2.88%
23 Butte 10,429 1,108 20 10.624% 0.89% 0.99%
24 Grant 7,052 1,056 42 14.974% 0.85% 2.09%
25 Hutchinson 7,291 921 29 12.632% 0.74% 1.44%
26 Custer 8,972 884 13 9.853% 0.71% 0.65%
27 Spink 6,376 848 26 13.300% 0.68% 1.29%
28 Kingsbury 4,939 818 18 16.562% 0.66% 0.89%
29 Hamlin 6,164 802 39 13.011% 0.65% 1.94%
30 Walworth 5,435 773 15 14.223% 0.62% 0.75%
31 Tripp 5,441 757 17 13.913% 0.61% 0.84%
32 Brule 5,297 721 10 13.611% 0.58% 0.50%
33 Day 5,424 717 30 13.219% 0.58% 1.49%
34 Moody 6,576 669 20 10.173% 0.54% 0.99%
35 Lyman 3,781 660 11 17.456% 0.53% 0.55%
36 Fall River 6,713 609 16 9.072% 0.49% 0.80%
37 Gregory 4,185 589 30 14.074% 0.48% 1.49%
38 Deuel 4,351 540 9 12.411% 0.44% 0.45%
39 Edmunds 3,829 514 14 13.424% 0.41% 0.70%
40 Corson 4,086 487 12 11.919% 0.39% 0.60%
41 Aurora 2,751 475 15 17.266% 0.38% 0.75%
42 Clark 3,736 466 5 12.473% 0.38% 0.25%
43 Douglas 2,921 458 9 15.680% 0.37% 0.45%
44 Buffalo 1,962 428 14 21.814% 0.35% 0.70%
45 Hanson 3,453 395 4 11.439% 0.32% 0.20%
46 Bennett 3,365 393 9 11.679% 0.32% 0.45%
47 Potter 2,153 391 4 18.161% 0.32% 0.20%
48 Marshall 4,935 375 6 7.599% 0.30% 0.30%
49 Faulk 2,299 372 13 16.181% 0.30% 0.65%
50 Hand 3,191 365 6 11.438% 0.29% 0.30%
51 Perkins 2,865 359 14 12.531% 0.29% 0.70%
52 Stanley 3,098 355 2 11.459% 0.29% 0.10%
53 Sanborn 2,344 347 3 14.804% 0.28% 0.15%
54 Ziebach 2,756 342 9 12.409% 0.28% 0.45%
55 Miner 2,216 306 10 13.809% 0.25% 0.50%
56 Jackson 3,344 294 15 8.792% 0.24% 0.75%
57 Jerauld 2,013 281 16 13.959% 0.23% 0.80%
58 Haakon 1,899 265 10 13.955% 0.21% 0.50%
59 Mellette 2,061 263 2 12.761% 0.21% 0.10%
60 Sully 1,391 145 3 10.424% 0.12% 0.15%
61 Hyde 1,301 140 1 10.761% 0.11% 0.05%
62 Campbell 1,376 133 4 9.666% 0.11% 0.20%
63 Harding 1,298 98 1 7.550% 0.08% 0.05%
64 Jones 903 96 0 10.631% 0.08% 0%

Mortality rate between 2-3% (blue), 3% or more (red)

1. Percent of total cases in South Dakota. 2. Percent of total deceased in South Dakota 3. Mortality rate of the county


Built by EVOKNOW, Inc., a Rocklin, CA company
Data from The New York Times, based on reports from state and local health agencies.

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