Home Crime in the U.S. 2010 Crime in the U.S. 2010 Tables Table 8 Table 8 - South Dakota

Table 8

SOUTH DAKOTA

Offenses Known to Law Enforcement

by State by City, 2010

City Population Violent
crime
Murder and
nonnegligent
manslaughter
Forcible
rape
Robbery Aggravated
assault
Property
crime
Burglary Larceny-
theft
Motor
vehicle
theft
Arson
Aberdeen 24,818 63 0 22 1 40 531 87 406 38 5
Avon 499 0 0 0 0 0 0 0 0 0 0
Belle Fourche 4,972 6 0 1 0 5 23 5 17 1 0
Box Elder 4,340 17 0 1 2 14 138 22 110 6 0
Brandon 8,330 2 0 2 0 0 57 2 51 4 0
Brookings 20,200 7 0 1 0 6 106 8 96 2 0
Burke 544 0 0 0 0 0 0 0 0 0 0
Canton 4,378 3 0 1 0 2 68 14 50 4 0
Centerville 818 0 0 0 0 0 1 1 0 0 0
Chamberlain 2,273 5 0 1 0 4 11 5 5 1 0
Deadwood 1,254 4 0 0 0 4 37 3 31 3 0
Delmont 208 0 0 0 0 0 0 0 0 0 0
Eagle Butte 928 0 0 0 0 0 3 1 2 0 0
Estelline 663 0 0 0 0 0 9 1 8 0 0
Eureka 904 0 0 0 0 0 0 0 0 0 0
Flandreau 2,171 5 0 1 0 4 35 2 27 6 0
Freeman 1,157 0 0 0 0 0 2 0 2 0 0
Gettysburg 987 1 0 0 0 1 4 0 4 0 0
Hermosa 353 0 0 0 0 0 0 0 0 0 0
Hot Springs 4,063 0 0 0 0 0 40 10 29 1 0
Hoven 367 0 0 0 0 0 0 0 0 0 0
Irene 391 0 0 0 0 0 0 0 0 0 0
Jefferson 617 0 0 0 0 0 0 0 0 0 0
Kadoka 611 2 0 0 0 2 16 13 3 0 0
Kimball 692 0 0 0 0 0 0 0 0 0 0
Lead 2,813 1 0 0 0 1 23 3 18 2 0
Lemmon 1,142 0 0 0 0 0 7 1 5 1 0
Lennox 2,920 0 0 0 0 0 5 1 4 0 0
Leola 374 0 0 0 0 0 0 0 0 0 0
Madison 6,573 3 0 0 0 3 119 11 106 2 0
Martin 966 2 0 0 0 2 3 1 2 0 0
McIntosh 201 0 0 0 0 0 0 0 0 0 0
Menno 633 0 0 0 0 0 1 1 0 0 0
Miller 1,296 1 0 0 0 1 5 0 5 0 0
Mitchell 14,669 17 1 5 2 9 519 75 425 19 0
Mobridge 3,085 8 0 0 0 8 53 5 47 1 0
North Sioux City 2,619 0 0 0 0 0 32 4 28 0 0
Pierre 14,003 26 0 5 2 19 449 81 345 23 1
Rapid City 67,436 404 2 91 59 252 2,823 518 2,178 127 8
Rosholt 425 0 0 0 0 0 0 0 0 0 0
Scotland 762 0 0 0 0 0 0 0 0 0 0
Selby 635 0 0 0 0 0 1 1 0 0 0
Sioux Falls 160,679 482 3 96 55 328 4,854 989 3,637 228 25
Sisseton 2,430 6 0 1 0 5 76 19 51 6 0
Spearfish 10,057 12 0 6 0 6 339 70 253 16 1
Springfield 1,456 0 0 0 0 0 0 0 0 0 0
Sturgis 5,897 5 0 0 0 5 154 21 128 5 1
Tea 5,058 10 0 0 1 9 121 33 84 4 0
Tripp 606 0 0 0 0 0 2 2 0 0 0
Tyndall 1,061 0 0 0 0 0 0 0 0 0 0
Vermillion 10,369 4 0 0 0 4 56 8 48 0 0
Viborg 747 0 0 0 0 0 4 0 4 0 0
Wagner 1,487 5 0 0 0 5 11 0 9 2 0
Watertown 20,232 60 0 19 1 40 596 88 472 36 1
Whitewood 852 2 0 1 0 1 3 1 2 0 0
Wilmot 515 0 0 0 0 0 0 0 0 0 0
Winner 2,614 4 0 0 0 4 24 5 17 2 0

Data Declaration

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