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

TOTAL CASES: 104,729 | DECEASED: 1,641
U.S. CENSUS EST. POPULATION:884,659

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Last updated at 01/19/21 02:01 pm CST
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 26,425 296 13.682% 25.23% 18.04%
2 Pennington 113,775 12,057 160 10.597% 11.51% 9.75%
3 Lincoln 61,128 7,240 70 11.844% 6.91% 4.27%
4 Brown 38,839 4,773 75 12.289% 4.56% 4.57%
5 Codington 28,009 3,673 73 13.114% 3.51% 4.45%
6 Brookings 35,077 3,306 32 9.425% 3.16% 1.95%
7 Davison 19,775 2,848 56 14.402% 2.72% 3.41%
8 Lawrence 25,844 2,711 35 10.490% 2.59% 2.13%
9 Yankton 22,814 2,689 27 11.787% 2.57% 1.65%
10 Beadle 18,453 2,577 38 13.965% 2.46% 2.32%
11 Meade 28,332 2,412 26 8.513% 2.30% 1.58%
12 Hughes 17,526 2,125 30 12.125% 2.03% 1.83%
13 Oglala Lakota 14,177 2,006 40 14.150% 1.92% 2.44%
14 Union 15,932 1,809 36 11.355% 1.73% 2.19%
15 Clay 14,070 1,722 13 12.239% 1.64% 0.79%
16 Bon Homme 6,901 1,501 23 21.750% 1.43% 1.40%
17 Dewey 5,892 1,369 18 23.235% 1.31% 1.10%
18 Todd 10,177 1,191 20 11.703% 1.14% 1.22%
19 Charles Mix 9,292 1,184 14 12.742% 1.13% 0.85%
20 Lake 12,797 1,099 16 8.588% 1.05% 0.98%
21 Roberts 10,394 1,081 34 10.400% 1.03% 2.07%
22 Turner 8,384 1,023 49 12.202% 0.98% 2.99%
23 Butte 10,429 941 20 9.023% 0.90% 1.22%
24 Grant 7,052 864 35 12.252% 0.82% 2.13%
25 Spink 6,376 742 24 11.637% 0.71% 1.46%
26 Hutchinson 7,291 735 22 10.081% 0.70% 1.34%
27 Custer 8,972 712 10 7.936% 0.68% 0.61%
28 Walworth 5,435 684 14 12.585% 0.65% 0.85%
29 Brule 5,297 671 7 12.668% 0.64% 0.43%
30 Hamlin 6,164 650 38 10.545% 0.62% 2.32%
31 Tripp 5,441 645 14 11.854% 0.62% 0.85%
32 Kingsbury 4,939 586 13 11.865% 0.56% 0.79%
33 Day 5,424 582 23 10.730% 0.56% 1.40%
34 Moody 6,576 582 15 8.850% 0.56% 0.91%
35 Lyman 3,781 574 10 15.181% 0.55% 0.61%
36 Gregory 4,185 493 26 11.780% 0.47% 1.58%
37 Fall River 6,713 485 13 7.225% 0.46% 0.79%
38 Corson 4,086 457 11 11.185% 0.44% 0.67%
39 Deuel 4,351 449 7 10.319% 0.43% 0.43%
40 Edmunds 3,829 439 5 11.465% 0.42% 0.30%
41 Aurora 2,751 436 11 15.849% 0.42% 0.67%
42 Buffalo 1,962 415 12 21.152% 0.40% 0.73%
43 Douglas 2,921 407 9 13.934% 0.39% 0.55%
44 Bennett 3,365 372 8 11.055% 0.36% 0.49%
45 Potter 2,153 338 3 15.699% 0.32% 0.18%
46 Ziebach 2,756 334 8 12.119% 0.32% 0.49%
47 Hanson 3,453 327 4 9.470% 0.31% 0.24%
48 Clark 3,736 325 4 8.699% 0.31% 0.24%
49 Sanborn 2,344 323 3 13.780% 0.31% 0.18%
50 Faulk 2,299 321 13 13.963% 0.31% 0.79%
51 Hand 3,191 321 4 10.060% 0.31% 0.24%
52 Perkins 2,865 315 11 10.995% 0.30% 0.67%
53 Stanley 3,098 303 2 9.781% 0.29% 0.12%
54 Marshall 4,935 278 5 5.633% 0.27% 0.30%
55 Jackson 3,344 269 13 8.044% 0.26% 0.79%
56 Jerauld 2,013 265 16 13.164% 0.25% 0.98%
57 Miner 2,216 253 7 11.417% 0.24% 0.43%
58 Haakon 1,899 240 9 12.638% 0.23% 0.55%
59 Mellette 2,061 232 2 11.257% 0.22% 0.12%
60 Hyde 1,301 134 1 10.300% 0.13% 0.06%
61 Sully 1,391 129 3 9.274% 0.12% 0.18%
62 Campbell 1,376 116 4 8.430% 0.11% 0.24%
63 Harding 1,298 89 1 6.857% 0.08% 0.06%
64 Jones 903 75 0 8.306% 0.07% 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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