Home Crime in the U.S. 2014 Crime in the U.S. 2014 Tables Table 8 Table 8 by State Table 8 - South Dakota

Table 8

SOUTH DAKOTA

Offenses Known to Law Enforcement

by City, 2014

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 27,629 78 0 11 5 62 546 114 404 28 4
Alcester 799 2 0 0 0 2 2 1 0 1 0
Avon 581 0 0 0 0 0 0 0 0 0 0
Belle Fourche 5,755 14 0 2 0 12 74 14 56 4 1
Beresford 2,038 0 0 0 0 0 29 3 22 4 0
Box Elder 9,432 27 1 5 0 21 124 32 85 7 0
Brandon 9,678 1 0 0 0 1 25 2 22 1 0
Brookings 23,145 28 0 3 0 25 353 48 300 5 0
Burke 601 0 0 0 0 0 0 0 0 0 0
Canton 3,321 5 0 1 0 4 23 7 14 2 0
Centerville 887 0 0 0 0 0 5 2 2 1 0
Chamberlain 2,457 21 0 4 1 16 113 26 83 4 0
Deadwood 1,292 4 0 0 0 4 28 2 24 2 1
Eagle Butte 1,357 0 0 0 0 0 5 3 2 0 0
Estelline 757 0 0 0 0 0 4 1 3 0 0
Faith 438 0 0 0 0 0 0 0 0 0 0
Flandreau 2,291 12 0 1 0 11 29 6 20 3 1
Freeman 1,252 1 0 0 0 1 4 2 2 0 0
Gettysburg 1,210 0 0 0 0 0 10 8 2 0 0
Hermosa 407 0 0 0 0 0 0 0 0 0 0
Hot Springs 3,478 3 0 0 0 3 24 8 14 2 0
Hoven 417 0 0 0 0 0 0 0 0 0 0
Huron 13,225 51 0 19 4 28 321 45 266 10 5
Irene 416 0 0 0 0 0 0 0 0 0 0
Jefferson 539 0 0 0 0 0 1 1 0 0 0
Kadoka 699 3 0 0 0 3 4 2 1 1 0
Kimball 715 0 0 0 0 0 0 0 0 0 0
Lead 3,105 10 0 0 0 10 27 4 23 0 0
Lennox 2,264 1 0 1 0 0 9 2 6 1 0
Leola 450 0 0 0 0 0 0 0 0 0 0
Madison 7,057 10 0 7 0 3 94 15 75 4 0
Martin 1,073 8 0 1 0 7 32 9 20 3 0
Menno 582 0 0 0 0 0 0 0 0 0 0
Miller 1,454 0 0 0 0 0 8 2 5 1 0
Mitchell 15,600 68 1 14 2 51 577 58 489 30 3
Mobridge 3,539 8 0 3 0 5 82 2 72 8 0
North Sioux City 2,503 1 0 0 0 1 41 6 32 3 0
Parkston 1,460 0 0 0 0 0 3 1 0 2 0
Philip 759 0 0 0 0 0 3 3 0 0 0
Pierre 14,061 49 0 11 1 37 437 38 365 34 0
Rapid City 71,481 426 4 59 53 310 2,704 426 2,076 202 3
Rosholt 431 0 0 0 0 0 0 0 0 0 0
Scotland 830 0 0 0 0 0 0 0 0 0 0
Selby 652 0 0 0 0 0 3 1 2 0 0
Sioux Falls 167,339 740 4 149 88 499 4,938 846 3,777 315 25
Sisseton 2,451 11 0 0 1 10 28 3 22 3 0
Spearfish 11,246 24 0 5 0 19 318 34 278 6 2
Springfield 1,978 0 0 0 0 0 0 0 0 0 0
Sturgis 6,950 7 0 0 1 6 164 20 135 9 0
Summerset 2,085 2 0 1 0 1 21 1 19 1 3
Tea 4,583 4 0 2 0 2 49 8 37 4 0
Tripp 620 0 0 0 0 0 3 1 1 1 0
Tyndall 1,064 0 0 0 0 0 0 0 0 0 0
Vermillion 10,723 33 0 3 2 28 235 26 198 11 0
Viborg 777 0 0 0 0 0 1 1 0 0 0
Wagner 1,574 2 0 1 0 1 24 3 19 2 0
Watertown 22,118 58 0 14 2 42 490 92 376 22 3
Whitewood 942 0 0 0 0 0 0 0 0 0 0
Winner 2,835 5 0 1 0 4 24 4 18 2 0
Worthing 943 0 0 0 0 0 1 0 1 0 0
Yankton 14,622 55 1 22 3 29 443 47 389 7 1
  • 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 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 Data Declaration for further explanation.

Data Declaration

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