Table 78
SOUTH DAKOTA
Full-time Law Enforcement Employees
by City, 2012
City | Population |
Total law enforcement employees |
Total officers |
Total civilians |
---|---|---|---|---|
Aberdeen | 26,593 | 50 | 42 | 8 |
Alcester | 829 | 2 | 2 | 0 |
Armour | 700 | 1 | 1 | 0 |
Avon | 587 | 1 | 1 | 0 |
Belle Fourche | 5,739 | 12 | 11 | 1 |
Beresford | 2,072 | 8 | 4 | 4 |
Box Elder | 7,997 | 11 | 10 | 1 |
Brandon | 9,008 | 12 | 11 | 1 |
Brookings | 22,478 | 43 | 31 | 12 |
Burke | 603 | 1 | 1 | 0 |
Canton | 3,224 | 5 | 5 | 0 |
Centerville | 890 | 1 | 1 | 0 |
Chamberlain | 2,427 | 6 | 6 | 0 |
Deadwood | 1,298 | 14 | 11 | 3 |
Eagle Butte | 1,350 | 2 | 2 | 0 |
Elk Point | 2,026 | 4 | 4 | 0 |
Estelline | 786 | 1 | 1 | 0 |
Faith | 429 | 1 | 1 | 0 |
Flandreau | 2,363 | 9 | 8 | 1 |
Freeman | 1,305 | 2 | 2 | 0 |
Gettysburg | 1,192 | 2 | 2 | 0 |
Gregory | 1,294 | 3 | 3 | 0 |
Groton | 1,486 | 4 | 4 | 0 |
Hot Springs | 3,694 | 9 | 7 | 2 |
Hoven | 418 | 1 | 1 | 0 |
Huron | 12,849 | 32 | 24 | 8 |
Jefferson | 562 | 1 | 1 | 0 |
Kadoka | 690 | 1 | 1 | 0 |
Kimball | 715 | 1 | 1 | 0 |
Lead | 3,189 | 6 | 5 | 1 |
Lemmon | 1,247 | 3 | 3 | 0 |
Lennox | 2,225 | 4 | 4 | 0 |
Leola | 461 | 1 | 1 | 0 |
Madison | 6,723 | 11 | 10 | 1 |
Martin | 1,086 | 4 | 4 | 0 |
Menno | 608 | 1 | 1 | 0 |
Milbank | 3,342 | 6 | 6 | 0 |
Miller | 1,502 | 4 | 4 | 0 |
Mitchell | 15,541 | 40 | 27 | 13 |
Mobridge | 3,593 | 14 | 7 | 7 |
North Sioux City | 2,604 | 8 | 7 | 1 |
Parkston | 1,505 | 3 | 3 | 0 |
Philip | 776 | 2 | 2 | 0 |
Pierre | 14,016 | 34 | 23 | 11 |
Platte | 1,255 | 1 | 1 | 0 |
Rapid City | 69,979 | 142 | 110 | 32 |
Rosholt | 433 | 1 | 1 | 0 |
Scotland | 837 | 1 | 1 | 0 |
Selby | 664 | 1 | 1 | 0 |
Sioux Falls | 158,354 | 264 | 229 | 35 |
Sisseton | 2,530 | 7 | 7 | 0 |
Spearfish | 10,704 | 30 | 20 | 10 |
Springfield | 1,999 | 2 | 2 | 0 |
Sturgis | 6,731 | 19 | 16 | 3 |
Summerset | 1,841 | 2 | 2 | 0 |
Tea | 4,021 | 6 | 6 | 0 |
Tripp | 646 | 1 | 1 | 0 |
Tyndall | 1,064 | 2 | 2 | 0 |
Vermillion | 10,826 | 20 | 19 | 1 |
Viborg | 791 | 1 | 1 | 0 |
Wagner | 1,599 | 5 | 5 | 0 |
Watertown | 21,902 | 51 | 35 | 16 |
Webster | 1,917 | 5 | 5 | 0 |
Whitewood | 949 | 3 | 3 | 0 |
Winner | 2,914 | 11 | 10 | 1 |
Worthing | 926 | 1 | 1 | 0 |
Yankton | 14,728 | 36 | 25 | 11 |
Data Declaration
Provides the methodology used in constructing this table and other pertinent information about this table.