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Table 8

SOUTH DAKOTA

Offenses Known to Law Enforcement

by City, 2019

City Population Violent
crime
Murder and
nonnegligent
manslaughter
Rape1 Robbery Aggravated
assault
Property
crime
Burglary Larceny-
theft
Motor
vehicle
theft
Arson
Aberdeen 28,870 160 0 41 4 115 629 117 468 44 0
Alcester 744 0 0 0 0 0 11 4 6 1 0
Avon 597 0 0 0 0 0 0 0 0 0 0
Belle Fourche 5,600 11 0 3 0 8 87 7 75 5 0
Beresford 1,989 0 0 0 0 0 12 4 8 0 0
Box Elder 10,077 42 0 5 1 36 216 54 137 25 0
Brandon 10,244 7 0 1 0 6 27 4 22 1 0
Brookings 24,823 54 0 12 1 41 316 28 271 17 0
Burke 586 0 0 0 0 0 0 0 0 0 0
Canton 3,521 12 0 2 0 10 59 17 39 3 0
Centerville 879 0 0 0 0 0 7 2 4 1 1
Chamberlain 2,345 16 0 3 1 12 77 18 57 2 0
Clark 1,056 0 0 0 0 0 2 1 1 0 0
Deadwood 1,307 3 0 0 0 3 0 0 0 0 0
Elk Point 1,857 4 0 0 0 4 1 0 0 1 0
Faith 413 0 0 0 0 0 1 0 0 1 0
Flandreau 2,323 18 0 3 0 15 78 19 52 7 1
Freeman 1,290 1 0 1 0 0 9 1 4 4 0
Groton 1,506 0 0 0 0 0 0 0 0 0 0
Hot Springs 3,485 11 0 1 0 10 33 4 28 1 0
Huron 13,840 58 0 11 0 47 349 29 311 9 1
Kadoka 714 2 0 0 0 2 5 1 1 3 0
Kimball 662 0 0 0 0 0 2 2 0 0 0
Lead 2,958 2 0 0 0 2 16 2 12 2 0
Lennox 2,476 5 0 1 0 4 11 5 4 2 0
Madison 7,558 17 0 3 0 14 78 16 57 5 0
Martin 1,071 27 0 3 2 22 80 20 59 1 0
Menno 622 0 0 0 0 0 0 0 0 0 0
Mitchell 15,733 59 1 13 1 44 538 61 437 40 4
Mobridge 3,550 13 0 2 0 11 26 4 20 2 0
Murdo 442 0 0 0 0 0 2 2 0 0 0
North Sioux City 2,932 6 0 1 0 5 55 7 41 7 0
Philip 773 1 0 0 0 1 5 2 2 1 0
Pierre 14,018 65 1 15 3 46 383 42 318 23 0
Platte 1,263 4 0 2 0 2 2 1 1 0 0
Rapid City 76,343 540 4 114 64 358 2,454 488 1,646 320 9
Rosholt 434 0 0 0 0 0 0 0 0 0 0
Scotland 814 0 0 0 0 0 0 0 0 0 0
Sioux Falls 185,628 897 4 116 68 709 5,653 695 4,300 658 29
Sisseton 2,423 3 0 1 0 2 16 2 10 4 0
Spearfish 11,842 23 0 4 1 18 268 29 229 10 1
Springfield 1,935 0 0 0 0 0 0 0 0 0 0
Sturgis 6,983 14 0 2 1 11 151 21 125 5 0
Summerset 2,796 5 0 1 0 4 57 4 52 1 0
Tea 5,898 8 0 3 0 5 96 9 79 8 0
Tripp 630 1 0 1 0 0 1 1 0 0 0
Tyndall 1,036 0 0 0 0 0 0 0 0 0 0
Vermillion 10,833 21 0 5 0 16 209 13 187 9 0
Wagner 1,561 4 0 1 0 3 16 0 13 3 0
Watertown 22,233 67 1 20 3 43 367 58 292 17 0
Yankton 14,730 86 1 20 2 63 375 33 301 41 1
  • 1 The figures shown in this column for the offense of rape were reported using only the revised Uniform Crime Reporting 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.