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

Table 10

KANSAS

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 Butler 43 0 6 3 34 470 168 267 35 6
Doniphan 1 0 0 0 1 58 26 29 3 1
Harvey 7 0 1 0 6 78 28 43 7 2
Jackson 17 0 0 0 17 90 34 51 5 1
Jefferson 28 0 0 0 28 267 67 176 24 4
Johnson 50 0 14 0 36 223 55 140 28 2
Kingman 2 0 0 0 2 42 13 28 1 1
Leavenworth 46 0 4 0 42 228 95 115 18 8
Miami 26 0 4 1 21 227 79 125 23 6
Osage 7 0 1 0 6 79 33 34 12 0
Pottawatomie 37 2 2 0 33 184 44 130 10 3
Riley County Police Department 180 1 28 30 121 1,108 203 876 29 18
Sumner 15 0 5 1 9 147 71 69 7 5
Wabaunsee 24 0 3 0 21 64 26 30 8 3
Wyandotte 23 0 2 0 21 43 11 24 8 4
Nonmetropolitan Counties Allen 11 0 1 0 10 75 34 34 7 13
Anderson 8 0 0 0 8 43 19 24 0 0
Barber 10 0 1 0 9 32 5 24 3 0
Barton 8 0 0 0 8 173 76 86 11 0
Bourbon 20 0 4 0 16 86 41 36 9 2
Brown 9 0 0 0 9 53 17 32 4 2
Chautauqua 2 0 0 1 1 14 7 7 0 0
Cherokee 33 0 3 0 30 232 86 121 25 4
Cheyenne 6 0 2 0 4 30 10 18 2 0
Clark 6 0 1 0 5 36 10 21 5 0
Clay 7 0 0 0 7 28 15 11 2 0
Cloud 10 0 0 0 10 48 25 19 4 2
Coffey 0 0 0 0 0 38 6 23 9 0
Cowley 18 0 3 0 15 174 78 80 16 0
Crawford 36 1 3 1 31 207 82 109 16 2
Dickinson 9 0 1 0 8 120 62 50 8 1
Ellis 15 0 0 0 15 56 21 33 2 22
Ellsworth 5 0 1 0 4 52 22 28 2 2
Finney 23 0 1 1 21 176 49 119 8 1
Ford 21 0 3 0 18 116 43 70 3 2
Franklin 37 0 3 4 30 220 79 130 11 7
Geary 14 0 3 1 10 36 11 24 1 4
Gove 3 0 0 0 3 21 5 13 3 0
Graham 3 0 0 0 3 10 5 3 2 0
Grant 4 0 0 0 4 33 13 18 2 1
Gray 13 0 4 0 9 77 25 48 4 2
Greeley 2 0 0 0 2 4 3 1 0 0
Greenwood 7 0 1 0 6 117 50 54 13 0
Harper 2 0 0 0 2 42 7 29 6 2
Haskell 10 1 2 1 6 52 12 37 3 1
Hodgeman 2 0 0 0 2 22 8 12 2 1
Kearny 11 0 3 0 8 59 13 43 3 1
Kiowa 6 0 2 0 4 20 8 12 0 0
Labette 11 0 0 0 11 79 33 41 5 2
Lane 3 0 0 0 3 32 5 24 3 0
Lincoln 1 0 0 0 1 53 23 28 2 1
Lyon 16 0 3 0 13 96 19 75 2 7
Marion 6 0 0 0 6 85 33 47 5 1
McPherson 9 1 0 0 8 76 25 40 11 3
Mitchell 3 0 2 0 1 19 4 14 1 1
Montgomery 34 0 3 0 31 164 63 83 18 5
Morris 3 0 0 1 2 48 20 27 1 1
Morton 4 0 0 0 4 25 11 10 4 3
Nemaha 9 0 1 0 8 46 15 25 6 1
Neosho 17 0 5 0 12 97 36 54 7 9
Ness 8 0 0 0 8 31 11 17 3 0
Norton 3 0 0 0 3 15 3 10 2 0
Osborne 2 0 2 0 0 30 5 24 1 0
Ottawa 5 0 0 0 5 47 22 21 4 2
Phillips 4 0 1 0 3 7 2 5 0 0
Pratt 2 0 0 0 2 55 23 29 3 2
Reno 19 0 5 0 14 199 92 91 16 2
Republic 4 0 0 0 4 34 4 24 6 0
Rice 3 0 0 1 2 88 36 47 5 0
Rooks 2 0 2 0 0 15 6 8 1 0
Rush 5 0 0 0 5 71 24 47 0 3
Russell 5 0 2 0 3 56 25 29 2 0
Saline 14 1 6 0 7 126 37 70 19 0
Scott 4 0 0 0 4 24 4 17 3 1
Seward 6 0 0 0 6 20 5 11 4 0
Thomas 5 0 0 0 5 27 6 19 2 1
Washington 4 0 0 0 4 20 6 8 6 0
Wichita 11 0 1 0 10 19 6 11 2 0
Wilson 9 0 1 0 8 69 27 34 8 1
Woodson 6 0 0 0 6 65 30 32 3 1
  • 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.