Table 8

SOUTH DAKOTA
Offenses Known to Law Enforcement
by State by City, 2007
City Population Violent
crime
Murder and
nonnegligent
manslaughter
Forcible
rape
Robbery Aggravated
assault
Property
crime
Burglary Larceny-
theft
Motor
vehicle
theft
Arson1
Aberdeen 23,992 30 0 13 1 16 498 80 389 29 1
Avon 536 0 0 0 0 0 0 0 0 0 0
Bonesteel 264 0 0 0 0 0 0 0 0 0 0
Box Elder 3,112 12 0 8 0 4 69 31 36 2 0
Brandon 7,956 2 0 0 0 2 59 10 49 0 0
Bridgewater 579 0 0 0 0 0 0 0 0 0 0
Burke 590 0 0 0 0 0 0 0 0 0 0
Canton 3,237 7 0 0 0 7 33 10 22 1 1
Centerville 856 0 0 0 0 0 0 0 0 0 0
Clark 1,128 0 0 0 0 0 0 0 0 0 0
Colman 553 0 0 0 0 0 1 0 1 0 0
Corsica 601 0 0 0 0 0 0 0 0 0 0
Deadwood 1,269 2 0 0 1 1 43 1 41 1 0
Delmont 229 0 0 0 0 0 0 0 0 0 0
Eagle Butte 950 1 0 0 0 1 17 2 15 0 0
Estelline 668 1 0 0 0 1 11 1 9 1 0
Eureka 952 0 0 0 0 0 0 0 0 0 0
Freeman 1,178 0 0 0 0 0 0 0 0 0 0
Gettysburg 1,130 0 0 0 0 0 2 0 2 0 0
Hermosa 360 0 0 0 0 0 0 0 0 0 0
Hot Springs 4,095 1 0 0 0 1 28 15 13 0 0
Hoven 421 0 0 0 0 0 0 0 0 0 0
Irene 403 0 0 0 0 0 2 0 2 0 0
Jefferson 593 0 0 0 0 0 0 0 0 0 0
Kadoka 673 1 0 0 0 1 3 3 0 0 0
Kimball 678 0 0 0 0 0 0 0 0 0 0
Lead 2,837 6 0 0 0 6 20 0 19 1 0
Leola 394 0 0 0 0 0 0 0 0 0 0
Madison 6,221 7 0 0 0 7 92 9 82 1 0
Martin 1,029 4 0 1 0 3 18 10 8 0 0
McIntosh 212 0 0 0 0 0 0 0 0 0 0
McLaughlin2 755 0 0 1 16 11 4 1 1
Miller 1,343 0 0 0 0 0 14 5 8 1 0
Mitchell 14,894 33 0 3 2 28 487 72 384 31 9
Mobridge 3,188 5 0 0 0 5 97 6 85 6 0
New Effington 225 0 0 0 0 0 0 0 0 0 0
North Sioux City 2,545 0 0 0 0 0 1 0 1 0 0
Parkston 1,506 0 0 0 0 0 12 7 5 0 1
Pierre 14,124 34 0 9 1 24 547 80 444 23 5
Rapid City 63,162 294 4 69 34 187 2,386 443 1,819 124 17
Rosholt 437 0 0 0 0 0 0 0 0 0 0
Scotland 816 0 0 0 0 0 0 0 0 0 0
Sioux Falls 144,985 381 2 95 44 240 3,780 631 2,881 268 39
Spearfish 9,796 9 0 3 0 6 338 26 308 4 0
Springfield 1,510 0 0 0 0 0 0 0 0 0 0
Sturgis 6,090 13 0 1 1 11 154 17 125 12 0
Tripp 643 0 0 0 0 0 1 1 0 0 0
Tyndall 1,135 0 0 0 0 0 0 0 0 0 0
Vermillion 9,810 9 0 1 0 8 86 5 80 1 0
Viborg 793 4 0 0 0 4 0 0 0 0 0
Wagner 1,596 4 0 0 0 4 21 3 12 6 0
Watertown 20,568 37 0 8 2 27 617 76 509 32 1
Whitewood 810 2 0 1 0 1 7 0 5 2 0
Wilmot 524 0 0 0 0 0 0 0 0 0 0
Winner 2,892 4 0 0 0 4 58 3 51 4 0
Yankton 13,805 26 1 4 4 17 344 54 280 10 0

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Data Declaration

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