Home Crime in the U.S. 2015 Crime in the U.S. 2015 Tables Table 8 Table 8 State Pieces Table 8 - South Dakota

Table 8

SOUTH DAKOTA

Offenses Known to Law Enforcement

by City, 2015

City Population Violent
crime
Murder and
nonnegligent
manslaughter
Rape
(revised
definition)1
Rape
(legacy
definition)2
Robbery Aggravated
assault
Property
crime
Burglary Larceny-
theft
Motor
vehicle
theft
Arson
Aberdeen 28,219 96 3 15 4 74 560 102 428 30 2
Alcester 783 1 0 0 0 1 3 2 1 0 1
Avon 574 0 0 0 0 0 0 0 0 0 0
Belle Fourche 5,733 9 0 0 1 8 57 12 43 2 0
Beresford 2,029 2 0 0 0 2 21 2 16 3 0
Box Elder 9,614 28 0 6 1 21 124 43 71 10 1
Brandon 9,992 0 0 0 0 0 25 2 23 0 0
Brookings 23,501 25 0 5 4 16 392 61 313 18 0
Burke 592 0 0 0 0 0 0 0 0 0 0
Canton 3,375 8 0 1 0 7 31 2 23 6 0
Centerville 872 0 0 0 0 0 1 1 0 0 0
Chamberlain 2,405 14 1 0 2 11 87 18 64 5 0
Clark 1,029 1 0 1 0 0 10 4 5 1 0
Deadwood 1,258 6 0 1 0 5 16 1 15 0 0
Eagle Butte 1,362 0 0 0 0 0 6 4 2 0 0
Estelline 752 0 0 0 0 0 0 0 0 0 0
Faith 419 0 0 0 0 0 0 0 0 0 0
Flandreau 2,268 25 0 4 1 20 41 8 31 2 2
Freeman 1,267 0 0 0 0 0 0 0 0 0 0
Gettysburg 1,174 2 0 0 0 2 4 0 2 2 0
Hermosa 397 0 0 0 0 0 0 0 0 0 0
Hot Springs 3,464 5 0 1 0 4 37 3 31 3 0
Hoven 407 0 0 0 0 0 0 0 0 0 0
Huron 13,307 69 0 12 4 53 314 41 267 6 0
Irene 410 0 0 0 0 0 0 0 0 0 0
Jefferson 532 0 0 0 0 0 1 1 0 0 0
Kadoka 710 5 0 0 0 5 5 2 1 2 0
Kimball 695 0 0 0 0 0 0 0 0 0 0
Lead 3,006 3 0 0 0 3 22 1 20 1 2
Lennox 2,302 6 1 0 0 5 5 2 3 0 0
Leola 441 0 0 0 0 0 0 0 0 0 0
Madison 7,282 8 1 4 0 3 62 10 52 0 0
Martin 1,063 12 0 1 0 11 21 6 13 2 0
Menno 586 0 0 0 0 0 0 0 0 0 0
Miller 1,428 0 0 0 0 0 11 3 8 0 0
Mitchell 15,797 68 0 19 4 45 575 81 459 35 3
Mobridge 3,527 8 0 0 0 8 50 2 42 6 0
North Sioux City 2,663 3 0 0 3 0 46 1 42 3 0
Parkston 1,467 2 0 0 0 2 3 2 0 1 0
Philip 738 0 0 0 0 0 0 0 0 0 0
Pierre 14,150 60 0 7 1 52 531 37 468 26 2
Rapid City 73,801 495 7 92 68 328 2,869 451 2,191 227 8
Rosholt 434 0 0 0 0 0 0 0 0 0 0
Scotland 828 0 0 0 0 0 0 0 0 0 0
Selby 644 0 0 0 0 0 2 0 2 0 0
Sioux Falls 172,313 819 2 134 87 596 5,685 1,089 4,177 419 27
Sisseton 2,480 5 0 0 0 5 3 0 2 1 0
Spearfish 11,225 20 0 7 0 13 292 66 214 12 0
Springfield 1,958 0 0 0 0 0 0 0 0 0 0
Sturgis 6,767 18 0 1 0 17 178 23 147 8 2
Summerset 2,195 0 0 0 0 0 10 2 6 2 0
Tea 4,718 4 0 0 0 4 39 2 34 3 0
Tripp 622 0 0 0 0 0 3 1 2 0 0
Tyndall 1,057 0 0 0 0 0 0 0 0 0 0
Vermillion 10,732 22 0 3 0 19 231 24 198 9 0
Viborg 764 0 0 0 0 0 0 0 0 0 0
Wagner 1,578 8 0 3 1 4 23 1 21 1 0
Watertown 22,195 85 0 18 4 63 621 67 527 27 0
Whitewood 921 1 0 0 0 1 5 2 3 0 0
Winner 2,846 8 0 1 0 7 14 2 10 2 0
Worthing 958 0 0 0 0 0 0 0 0 0 0
Yankton 14,573 56 0 16 2 38 387 40 330 17 3
  • 1 The figures shown in this column for the offense of rape were reported using the revised Uniform Crime Reporting (UCR) definition of rape. See the data declaration for further explanation.
  • 2 The figures shown in this column for the offense of rape were reported using the legacy UCR 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.