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Home • Crime in the U.S. • 2014 • Crime in the U.S. 2014 • Tables • Table 10 • Table 10 Pieces • Table 10 - Iowa

Table 10

IOWA

Offenses Known to Law Enforcement

by Metropolitan and Nonmetropolitan Counties, 2014

[The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.]

Metropolitan/Nonmetropolitan County Violent
crime 		Murder and
nonnegligent
manslaughter		 Rape
(revised
definition)1 		Rape
(legacy
definition)2 		Robbery Aggravated
assault		 Property
crime 		Burglary Larceny-
theft		 Motor
vehicle
theft		 Arson
Metropolitan Counties Black Hawk 17 0 4 1 12 141 73 58 10 0
Bremer 7 0 0 0 7 26 12 12 2 0
Dallas 20 0 0 0 20 129 19 93 17 2
Dubuque 20 0 8 2 10 171 60 97 14 2
Grundy 9 0 0 1 8 74 25 47 2 0
Johnson 60 0 10 2 48 177 70 93 14 4
Linn 41 1 9 3 28 291 120 140 31 5
Madison 7 0 2 0 5 56 20 30 6 1
Mills 15 0 5 0 10 143 58 68 17 3
Plymouth 16 4 5 0 7 52 22 27 3 0
Polk 86 1 19 5 61 695 178 433 84 2
Pottawattamie 80 1 9 3 67 458 166 226 66 8
Scott 84 0 8 2 74 113 27 78 8 1
Story 22 0 6 0 16 168 81 71 16 0
Warren 42 0 8 1 33 199 70 100 29 6
Washington 26 0 4 1 21 68 26 38 4 0
Woodbury 23 0 3 0 20 146 94 40 12 2
Nonmetropolitan Counties Adair 5 0 0 0 5 53 19 30 4 0
Adams 4 0 1 0 3 36 10 23 3 1
Appanoose 11 0 0 0 11 105 46 44 15 4
Boone 14 0 1 0 13 62 23 35 4 0
Buena Vista 10 0 3 0 7 43 24 18 1 2
Calhoun 4 0 1 0 3 70 26 41 3 0
Cass 11 0 0 0 11 76 35 35 6 0
Cedar 9 0 3 0 6 87 24 56 7 0
Cerro Gordo 7 0 1 0 6 102 43 54 5 1
Cherokee 2 0 0 0 2 25 6 18 1 0
Clarke 4 0 0 0 4 59 17 30 12 0
Clay 9 0 3 0 6 35 20 12 3 2
Clayton 14 0 2 0 12 34 9 21 4 1
Clinton 21 0 2 0 19 127 31 88 8 0
Davis 4 0 1 0 3 5 1 4 0 0
Delaware 14 0 2 0 12 77 29 41 7 0
Des Moines 18 0 1 1 16 170 53 115 2 0
Dickinson 6 0 0 0 6 25 8 15 2 2
Emmet 17 0 0 0 17 48 12 32 4 0
Fayette 24 0 3 0 21 58 16 37 5 3
Floyd 10 0 6 0 4 15 10 5 0 0
Greene 0 0 0 0 0 0 0 0 0 0
Hamilton 12 0 0 1 11 61 32 25 4 0
Hancock 9 0 0 0 9 27 14 11 2 1
Hardin 8 0 1 0 7 96 32 50 14 1
Henry 44 1 3 0 40 79 24 42 13 0
Howard 6 0 2 0 4 66 25 37 4 0
Humboldt 2 0 1 1 0 34 13 17 4 0
Ida 12 0 1 2 9 82 16 62 4 0
Iowa 11 0 0 0 11 66 16 41 9 1
Jasper 29 0 4 0 25 157 86 69 2 3
Jefferson 1 0 0 0 1 87 34 44 9 1
Keokuk 12 0 0 0 12 41 20 19 2 0
Kossuth 10 0 1 0 9 32 13 18 1 0
Lee 27 2 1 0 24 99 35 57 7 0
Louisa 12 0 4 0 8 55 21 30 4 1
Lucas 5 0 2 0 3 54 18 31 5 2
Lyon 13 0 3 0 10 89 25 49 15 0
Mahaska 10 0 2 1 7 90 38 43 9 0
Marion 49 0 8 0 41 121 47 68 6 1
Marshall 15 0 0 0 15 48 19 26 3 0
Monona 1 0 0 0 1 36 3 30 3 0
Monroe 3 0 0 0 3 29 2 23 4 1
Muscatine 21 0 5 0 16 88 38 43 7 3
O'Brien 20 0 6 0 14 72 36 34 2 0
Osceola 3 0 0 0 3 9 2 5 2 0
Pocahontas 6 0 1 0 5 28 9 19 0 1
Poweshiek 10 0 0 0 10 30 7 18 5 3
Ringgold 4 0 0 0 4 25 14 11 0 0
Sac 2 0 1 0 1 40 17 20 3 1
Sioux 7 0 0 0 7 58 21 34 3 1
Tama 43 0 8 1 34 75 39 25 11 1
Taylor 2 0 0 0 2 24 6 14 4 1
Union 1 0 0 0 1 37 9 23 5 1
Van Buren 10 0 2 0 8 76 45 29 2 0
Wapello 24 1 0 0 23 116 49 53 14 2
Wayne 9 0 1 0 8 36 21 15 0 0
Webster 14 0 0 2 12 188 104 68 16 6
Winneshiek 1 0 0 0 1 7 3 4 0 0
Worth 10 1 1 0 8 55 20 33 2 0
Wright 2 0 1 0 1 13 5 8 0 0
  • 1 The figures shown in this column for the offense of rape were reported using the revised Uniform Crime Reporting (UCR) definition of rape. See Data Declaration for further explanation.
  • 2 The figures shown in this column for the offense of rape were reported using the legacy UCR definition of rape. See Data Declaration for further explanation.

Data Declaration

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