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