Table 8
SOUTH DAKOTA
Offenses Known to Law Enforcement
by City, 2017
State | Population |
Violent crime |
Murder and nonnegligent manslaughter |
Rape1 | Robbery |
Aggravated assault |
Property crime |
Burglary |
Larceny- theft |
Motor vehicle theft |
Arson |
---|---|---|---|---|---|---|---|---|---|---|---|
Aberdeen | 28,800 | 99 | 0 | 16 | 8 | 75 | 681 | 117 | 524 | 40 | 0 |
Belle Fourche | 5,662 | 9 | 0 | 2 | 1 | 6 | 94 | 18 | 73 | 3 | 0 |
Box Elder | 9,623 | 32 | 0 | 10 | 1 | 21 | 194 | 39 | 135 | 20 | 0 |
Brandon | 10,090 | 0 | 0 | 0 | 0 | 0 | 26 | 2 | 24 | 0 | 0 |
Brookings | 24,198 | 36 | 0 | 8 | 0 | 28 | 315 | 40 | 248 | 27 | 1 |
Canton | 3,437 | 6 | 0 | 1 | 0 | 5 | 33 | 9 | 17 | 7 | 0 |
Chamberlain | 2,364 | 10 | 0 | 1 | 0 | 9 | 54 | 7 | 47 | 0 | 0 |
Deadwood | 1,262 | 5 | 0 | 1 | 1 | 3 | 4 | 0 | 4 | 0 | 0 |
Flandreau | 2,331 | 19 | 0 | 4 | 1 | 14 | 57 | 7 | 47 | 3 | 0 |
Hot Springs | 3,540 | 2 | 0 | 0 | 0 | 2 | 84 | 12 | 66 | 6 | 0 |
Huron | 13,204 | 49 | 0 | 11 | 1 | 37 | 211 | 26 | 171 | 14 | 0 |
Lead | 2,990 | 2 | 0 | 0 | 0 | 2 | 17 | 3 | 11 | 3 | 0 |
Lennox | 2,364 | 3 | 0 | 0 | 0 | 3 | 4 | 1 | 3 | 0 | 0 |
Madison | 7,584 | 11 | 0 | 3 | 0 | 8 | 87 | 18 | 68 | 1 | 0 |
Martin | 1,071 | 28 | 0 | 2 | 4 | 22 | 94 | 23 | 68 | 3 | 0 |
Mitchell | 15,806 | 88 | 2 | 21 | 6 | 59 | 570 | 86 | 447 | 37 | 1 |
Mobridge | 3,587 | 14 | 0 | 3 | 0 | 11 | 49 | 2 | 42 | 5 | 0 |
North Sioux City | 2,766 | 1 | 0 | 1 | 0 | 0 | 45 | 4 | 37 | 4 | 0 |
Pierre | 14,064 | 55 | 0 | 14 | 1 | 40 | 521 | 65 | 433 | 23 | 0 |
Rapid City | 74,986 | 480 | 6 | 101 | 68 | 305 | 2,872 | 466 | 2,102 | 304 | 8 |
Sioux Falls | 177,888 | 801 | 4 | 121 | 100 | 576 | 5,083 | 655 | 3,959 | 469 | 47 |
Sisseton | 2,426 | 8 | 0 | 1 | 0 | 7 | 16 | 3 | 12 | 1 | 1 |
Spearfish | 11,697 | 41 | 0 | 16 | 4 | 21 | 379 | 76 | 294 | 9 | 0 |
Sturgis | 6,868 | 18 | 0 | 1 | 2 | 15 | 193 | 34 | 149 | 10 | 0 |
Summerset | 2,499 | 1 | 0 | 0 | 0 | 1 | 49 | 8 | 41 | 0 | 0 |
Tea | 5,261 | 9 | 0 | 2 | 0 | 7 | 72 | 13 | 54 | 5 | 0 |
Vermillion | 10,892 | 43 | 0 | 12 | 2 | 29 | 233 | 24 | 197 | 12 | 0 |
Wagner | 1,589 | 6 | 0 | 4 | 0 | 2 | 16 | 1 | 14 | 1 | 0 |
Watertown | 22,283 | 81 | 1 | 20 | 4 | 56 | 444 | 86 | 342 | 16 | 0 |
Whitewood | 931 | 1 | 0 | 0 | 0 | 1 | 5 | 1 | 4 | 0 | 0 |
Winner | 2,850 | 8 | 0 | 0 | 0 | 8 | 29 | 5 | 23 | 1 | 0 |
Yankton | 14,579 | 57 | 0 | 10 | 0 | 47 | 364 | 40 | 314 | 10 | 2 |
- 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.