Home Crime in the U.S. 2014 Crime in the U.S. 2014 Tables Table 8 Table 8 by State Table 8 - Indiana

Table 8

INDIANA

Offenses Known to Law Enforcement

by City, 2014

City Population 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
Arson3
Alexandria 5,075 1 0 0 1 0 109 20 83 6 0
Anderson4 55,545 190 1 59 73 57 2,490 553 1,739 198 43
Angola 8,661 4 0 1 2 1 367 18 344 5
Auburn 12,797 8 0 4 0 4 270 30 232 8 1
Aurora 3,731 7 0 1 2 4 127 14 113 0 0
Avon 14,009 53 0 1 5 47 617 38 558 21
Bargersville 6,554 3 0 0 0 3 134 18 116 0
Bedford 13,372 15 0 7 2 6 508 49 430 29 2
Beech Grove 14,536 25 0 2 18 5 625 87 471 67 2
Berne 4,035 2 0 1 1 0 32 4 24 4 0
Bloomington4 83,075 294 1 61 81 151 2,466 487 1,854 125
Bluffton 9,959 1 0 1 0 0 349 45 294 10
Boonville 6,198 39 0 1 1 37 165 23 135 7 2
Bremen 4,619 27 0 3 0 24 65 10 50 5
Brownsburg 23,539 44 0 6 4 34 360 40 296 24
Brownstown 2,995 1 0 0 0 1 103 13 85 5
Carmel4 87,555 12 1 2 6 3 816 72 689 55
Cedar Lake 11,736 20 0 1 3 16 222 37 174 11
Charlestown 8,091 1 0 0 1 0 229 31 192 6
Clarksville 21,858 121 1 6 28 86 1,752 112 1,596 44 0
Clinton 4,759 16 0 2 0 14 101 28 69 4
Columbia City 8,816 12 0 2 1 9 143 17 123 3 0
Columbus 46,196 45 0 12 20 13 2,001 204 1,630 167 5
Crawfordsville 16,017 202 0 2 5 195 454 65 371 18
Cumberland 5,386 17 0 1 7 9 201 40 126 35
Danville 9,519 25 0 1 1 23 103 22 77 4 2
Decatur 9,419 5 0 1 0 4 191 20 168 3 0
Delphi 2,887 5 0 1 0 4 60 12 45 3 0
Dyer 16,244 16 0 0 6 10 189 14 169 6 0
East Chicago 29,089 249 7 19 90 133 1,222 301 809 112
Edinburgh 4,538 13 0 0 4 9 431 37 392 2 0
Elkhart 51,366 646 1 20 79 546 2,283 615 1,484 184
Elwood 8,493 12 1 1 0 10 164 50 106 8
Evansville 120,372 623 9 69 223 322 6,883 1,087 5,250 546
Fairmount 2,895 11 0 0 0 11 53 23 30 0 0
Fishers4 85,597 18 2 2 5 9 814 50 726 38 4
Fort Wayne 257,172 816 12 104 347 353 8,352 1,765 6,223 364 45
Frankfort 16,205 20 0 5 5 10 821 115 672 34
Franklin 24,310 75 2 2 6 65 952 83 857 12 1
Garrett 6,290 3 0 2 0 1 188 36 142 10 0
Gary 78,013 712 37 44 278 353 4,052 1,312 2,268 472 63
Gas City 6,075 17 0 0 0 17 168 25 143 0 0
Goshen 32,337 36 0 13 15 8 1,240 240 934 66 1
Greenfield 21,381 29 0 6 2 21 363 55 295 13 0
Greensburg 11,800 31 0 1 2 28 76 11 64 1
Greenwood 54,345 191 0 2 14 175 1,921 172 1,641 108 3
Griffith 16,552 42 1 1 10 30 464 69 353 42 0
Hagerstown 1,754 5 0 1 0 4 25 7 16 2 0
Hammond4 78,526 637 10 31 178 418 2,841 530 1,993 318 26
Hartford City 6,053 1 0 0 1 0 204 36 163 5
Highland 23,179 15 0 0 9 6 617 83 494 40 0
Hobart 28,389 83 0 5 7 71 1,740 126 1,528 86 8
Indianapolis5 858,238 10,768 136 573 3,808 6,251 41,394 12,125 24,090 5,179 271
Jasper 15,370 36 0 0 0 36 145 16 120 9 1
Jeffersonville 46,117 267 1 10 39 217 1,441 225 1,078 138
Kendallville 9,904 27 0 2 0 25 271 23 235 13 0
Kokomo 56,904 162 3 22 42 95 2,074 501 1,515 58 2
Lafayette 70,749 351 2 43 90 216 3,426 634 2,542 250 9
Lake Station 12,170 22 0 3 9 10 616 74 491 51 3
La Porte 22,002 34 2 1 14 17 747 121 600 26 3
Lawrenceburg 5,027 11 1 1 3 6 138 18 118 2
Ligonier 4,373 1 0 0 0 1 12 2 7 3
Linton 5,326 3 0 0 1 2 207 29 168 10 1
Logansport 17,973 16 0 9 3 4 829 94 693 42 0
Lowell 9,403 44 0 0 0 44 82 9 70 3
Marion 29,475 88 1 11 37 39 1,253 193 976 84 0
Merrillville 35,714 119 4 5 41 69 1,230 183 956 91
Michigan City 31,508 100 3 6 57 34 1,382 167 1,146 69 6
Mishawaka 47,933 106 0 23 37 46 2,352 244 1,983 125
Mooresville 9,636 5 0 0 1 4 318 40 250 28
Mount Vernon 6,566 0 0 0 0 0 337 113 211 13
Muncie4 70,347 277 2 37 101 137 2,899 490 2,232 177 9
Munster 23,187 21 0 0 11 10 386 24 355 7
Nappanee 6,705 5 0 3 2 0 115 16 92 7 0
New Albany 36,908 90 3 5 42 40 2,075 320 1,575 180
New Haven4 15,635 16 0 3 6 7 331 41 260 30 0
New Whiteland 5,793 2 0 0 0 2 38 9 27 2 0
North Judson 1,762 7 0 0 0 7 55 10 41 4 0
North Liberty 1,911 1 0 1 0 0 6 1 5 0 0
North Manchester 5,989 4 0 0 2 2 76 7 67 2
Peru 11,101 35 0 6 3 26 356 62 280 14 0
Plainfield 30,727 55 0 7 8 40 892 77 765 50
Plymouth 10,036 14 1 5 1 7 214 23 179 12 0
Portage 36,805 60 2 6 7 45 786 99 631 56
Porter4 4,899 4 0 0 0 4 70 8 58 4 0
Portland 6,275 8 0 1 0 7 167 9 149 9
Rensselaer 5,874 20 0 3 2 15 247 18 229 0 0
Rushville 6,173 5 0 1 1 3 281 59 216 6
Scottsburg 6,720 37 0 5 6 26 258 34 210 14 0
Sellersburg 6,167 7 0 1 2 4 114 16 93 5 0
Seymour 19,050 64 0 7 8 49 951 131 751 69 5
Shelbyville 19,278 193 1 7 4 181 559 78 417 64
South Bend 100,853 691 17 98 341 235 4,744 1,222 3,190 332 30
South Whitley 1,753 0 0 0 0 0 22 3 18 1 1
Speedway 12,120 39 2 2 24 11 620 81 483 56
St. John 15,870 5 0 0 0 5 101 26 72 3 0
Tell City 7,298 1 0 0 0 1 140 19 118 3 0
Terre Haute 61,085 198 4 30 51 113 3,012 758 1,989 265 48
Tipton 4,970 8 0 0 3 5 94 18 72 4 2
Union City 3,496 7 0 1 0 6 91 15 74 2
Valparaiso 32,382 35 1 0 7 27 619 55 526 38
Walkerton 2,276 1 0 0 0 1 16 6 7 3 1
Warsaw 14,160 54 0 6 10 38 449 55 371 23 3
Washington 11,982 54 0 20 1 33 624 113 457 54
Waterloo 2,235 12 0 2 0 10 68 13 44 11
Westfield 34,214 36 0 3 4 29 421 31 382 8 3
West Lafayette 31,192 32 0 2 8 22 349 44 286 19 0
Whitestown 4,276 22 0 0 0 22 119 10 103 6
Whiting 4,866 2 0 0 1 1 152 14 125 13
Winchester 4,829 0 0 0 0 0 230 43 179 8 1
Winona Lake 4,945 2 0 0 0 2 53 11 42 0 0
Zionsville 25,574 6 0 0 0 6 149 6 131 12
  • 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.
  • 3 The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
  • 4 This agency began the year submitting rape data classified according to the legacy UCR definition. However, at some point during the calendar year, the agency modified its reporting methods and began classifying and submitting rape offenses according to the revised UCR definition of rape. See Data Declaration for further explanation.
  • 5 Because of changes in the state/local agency's reporting practices, figures are not comparable to previous years' data.

Data Declaration

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