Home Crime in the U.S. 2013 Crime in the U.S. 2013 Tables Table 8 Table 8 State Cuts Table 8 - South Dakota

Table 8

SOUTH DAKOTA

Offenses Known to Law Enforcement

by City, 2013

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 26,999 74 0 14 4 56 641 143 482 16 3
Avon 581 0 0 0 0 0 0 0 0 0 0
Belle Fourche 5,676 14 0 9 0 5 88 20 65 3 1
Beresford 2,049 3 0 1 1 1 13 2 8 3 0
Box Elder 9,079 30 0 10 0 20 182 77 96 9 2
Brandon 9,393 1 0 0 0 1 42 5 37 0 0
Brookings 22,741 9 0 1 0 8 77 9 62 6 0
Burke 605 0 0 0 0 0 0 0 0 0 0
Canton 3,268 2 0 0 0 2 19 4 14 1 0
Centerville 887 0 0 0 0 0 5 3 2 0 0
Chamberlain 2,405 18 0 2 0 16 95 15 76 4 0
Clark 1,045 2 0 0 0 2 8 5 3 0 0
Deadwood 1,260 1 0 0 1 0 44 2 39 3 0
Eagle Butte 1,363 0 0 0 0 0 8 4 3 1 1
Estelline 757 0 0 0 0 0 3 1 2 0 0
Faith 420 0 0 0 0 0 0 0 0 0 0
Flandreau 2,311 12 0 2 0 10 29 5 22 2 0
Freeman 1,260 0 0 0 0 0 1 0 0 1 0
Gettysburg 1,180 0 0 0 0 0 4 0 3 1 0
Hermosa 395 0 0 0 0 0 0 0 0 0 0
Hot Springs 3,541 7 0 3 0 4 22 2 14 6 0
Hoven 409 0 0 0 0 0 0 0 0 0 0
Huron 12,956 55 0 17 1 37 332 44 277 11 1
Irene 419 0 0 0 0 0 0 0 0 0 0
Jefferson 547 0 0 0 0 0 0 0 0 0 0
Kadoka 695 0 0 0 0 0 2 0 2 0 0
Kimball 707 0 0 0 0 0 3 2 1 0 0
Lead 3,076 4 0 0 0 4 48 1 44 3 0
Lennox 2,229 2 0 0 0 2 9 0 8 1 0
Leola 449 0 0 0 0 0 0 0 0 0 0
Madison 6,904 4 0 0 0 4 64 13 49 2 0
Martin 1,071 13 0 2 0 11 27 5 20 2 1
Menno 587 0 0 0 0 0 1 1 0 0 0
Miller 1,460 0 0 0 0 0 12 4 7 1 0
Mitchell 15,555 63 0 9 2 52 479 62 395 22 4
Mobridge 3,478 6 0 0 0 6 55 3 50 2 1
North Sioux City 2,550 0 0 0 0 0 42 4 37 1 0
Parkston 1,471 0 0 0 0 0 4 1 2 1 0
Philip 782 0 0 0 0 0 0 0 0 0 0
Pierre 13,996 31 0 13 2 16 412 43 357 12 0
Rapid City 70,406 398 2 63 48 285 2,629 578 1,902 149 18
Rosholt 427 0 0 0 0 0 0 0 0 0 0
Scotland 832 0 0 0 0 0 0 0 0 0 0
Selby 640 0 0 0 0 0 6 2 4 0 0
Sioux Falls 161,754 636 3 138 67 428 4,930 870 3,796 264 27
Sisseton 2,505 19 0 2 2 15 46 11 32 3 0
Spearfish 10,778 8 0 4 0 4 231 48 170 13 1
Springfield 1,979 0 0 0 0 0 0 0 0 0 0
Sturgis 6,652 10 0 4 0 6 172 26 137 9 1
Summerset 1,923 1 0 0 0 1 0 0 0 0 0
Tea 4,459 3 0 0 0 3 78 9 63 6 0
Tripp 625 0 0 0 0 0 0 0 0 0 0
Tyndall 1,054 0 0 0 0 0 0 0 0 0 0
Vermillion 10,892 31 0 5 0 26 224 20 202 2 0
Viborg 773 0 0 0 0 0 1 1 0 0 0
Wagner 1,575 2 0 0 0 2 39 0 38 1 0
Watertown 21,900 59 1 16 3 39 583 108 445 30 1
Whitewood 934 0 0 0 0 0 0 0 0 0 0
Winner 2,821 6 0 2 0 4 16 2 12 2 0
Worthing 927 0 0 0 0 0 0 0 0 0 0
Yankton 14,561 48 0 20 2 26 387 57 315 15 0
  • 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.