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Table 8

SOUTH DAKOTA

Offenses Known to Law Enforcement

by City, 2018

City Population Violent
crime 		Murder and
nonnegligent
manslaughter		 Rape1 Robbery Aggravated
assault		 Property
crime 		Burglary Larceny-
theft		 Motor
vehicle
theft		 Arson
Aberdeen 28,713 124 1 33 4 86 602 101 466 35 4
Alcester 727 0 0 0 0 0 0 0 0 0 0
Avon 597 0 0 0 0 0 0 0 0 0 0
Belle Fourche 5,544 13 0 3 1 9 124 15 107 2 0
Beresford 1,944 2 0 1 1 0 26 2 22 2 0
Box Elder 9,761 43 0 5 1 37 175 41 116 18 2
Brandon 10,107 11 0 5 0 6 54 5 46 3 0
Brookings 24,206 46 0 13 2 31 324 36 274 14 0
Burke 586 0 0 0 0 0 0 0 0 0 0
Canton 3,481 8 0 2 0 6 59 19 36 4 0
Centerville 868 0 0 0 0 0 10 1 9 0 0
Chamberlain 2,388 19 1 3 1 14 61 11 46 4 0
Clark 1,035 2 0 1 0 1 6 1 4 1 0
Deadwood 1,305 1 0 0 0 1 0 0 0 0 0
Faith 417 0 0 0 0 0 3 0 1 2 0
Flandreau 2,332 9 0 2 2 5 57 9 41 7 0
Freeman 1,286 1 0 0 0 1 10 0 10 0 0
Hermosa 396 0 0 0 0 0 0 0 0 0 0
Hot Springs 3,426 11 0 1 0 10 37 5 25 7 0
Huron 13,193 56 0 9 1 46 221 40 170 11 0
Jefferson 495 1 0 0 0 1 5 1 4 0 0
Kadoka 711 2 0 0 0 2 4 1 2 1 0
Kimball 677 0 0 0 0 0 0 0 0 0 0
Lead 2,957 6 0 0 0 6 11 0 11 0 0
Madison 7,441 10 0 4 0 6 82 19 62 1 0
Martin 1,066 16 0 2 1 13 83 21 61 1 0
Menno 618 0 0 0 0 0 0 0 0 0 0
Miller 1,361 1 0 0 0 1 10 1 9 0 0
Mitchell 15,653 81 0 21 6 54 573 68 447 58 2
Murdo 447 2 0 0 0 2 0 0 0 0 0
North Sioux City 2,821 1 0 1 0 0 59 5 40 14 0
Parkston 1,495 0 0 0 0 0 0 0 0 0 0
Philip 785 0 0 0 0 0 1 1 0 0 0
Pierre 14,050 70 0 18 1 51 380 36 325 19 2
Platte 1,278 0 0 0 0 0 3 2 0 1 0
Rapid City 75,290 492 2 99 65 326 2,194 428 1,502 264 7
Rosholt 424 0 0 0 0 0 0 0 0 0 0
Scotland 814 0 0 0 0 0 0 0 0 0 0
Sioux Falls 180,335 788 5 121 107 555 5,288 652 4,092 544 36
Sisseton 2,395 2 0 1 0 1 31 5 20 6 1
Spearfish 11,763 25 0 8 3 14 375 40 318 17 0
Springfield 1,936 0 0 0 0 0 0 0 0 0 0
Sturgis 6,949 21 0 1 1 19 164 19 141 4 0
Summerset 2,690 1 0 0 0 1 38 5 31 2 0
Tea 5,725 8 0 3 0 5 75 13 58 4 0
Tripp 630 0 0 0 0 0 0 0 0 0 0
Tyndall 1,041 0 0 0 0 0 0 0 0 0 0
Vermillion 10,804 26 0 3 1 22 216 30 167 19 1
Viborg 768 0 0 0 0 0 9 7 2 0 0
Wagner 1,589 6 0 1 0 5 22 1 21 0 0
Watertown 22,323 67 0 18 4 45 382 54 309 19 0
Webster 1,757 0 0 0 0 0 0 0 0 0 0
Whitewood 949 0 0 0 0 0 2 0 2 0 0
Winner 2,832 13 0 7 0 6 24 3 20 1 0
Yankton 14,523 75 0 16 1 58 379 31 322 26 0
  • 1 The figures shown in this column for the offense of rape were reported using only the revised Uniform Crime Reporting definition of rape. See the data declaration for further explanation.

Data Declaration

Provides the methodology used in constructing this table and other pertinent information about this table.