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Home • Crime in the U.S. • 2013 • Crime in the U.S. 2013 • Tables • Table 8 • Table 8 State Cuts • Table 8 - Indiana

Table 8

INDIANA

Offenses Known to Law Enforcement

by City, 2013

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
Albion 2,344 0 0 0 0 0 0 0 0 0 0
Alexandria 5,060 6 0 2 2 2 121 18 96 7 1
Anderson 55,367 200 5 36 103 56 2,664 605 1,829 230 55
Angola 8,587 6 1 2 2 1 387 25 358 4 0
Auburn 12,802 11 0 5 0 6 249 34 203 12 0
Aurora 3,721 20 0 2 0 18 213 16 193 4 0
Batesville 6,489 26 0 1 1 24 111 25 82 4 0
Bedford 13,400 70 0 5 2 63 452 60 360 32 1
Beech Grove 14,384 33 0 4 14 15 539 92 383 64 7
Berne 3,964 1 0 0 0 1 31 5 23 3 0
Bloomington 82,415 275 2 34 78 161 2,606 516 1,942 148 35
Boonville 6,197 20 0 0 0 20 197 23 165 9 4
Bremen 4,597 15 0 0 0 15 59 11 44 4 0
Brownsburg 22,908 33 0 1 5 27 385 55 304 26 1
Carmel 84,880 20 0 4 11 5 744 128 573 43 0
Cedar Lake 11,688 13 0 3 1 9 248 57 179 12 1
Chesterfield 2,508 1 0 0 0 1 51 5 43 3 0
Clarksville 21,865 122 5 7 27 83 1,529 172 1,310 47 4
Clinton 4,810 16 0 1 0 15 82 27 50 5 0
Columbia City 8,850 4 0 1 1 2 141 13 121 7 0
Columbus 45,874 82 1 17 19 45 2,124 241 1,754 129 3
Crawfordsville 16,055 23 0 4 4 15 533 112 400 21 4
Cumberland 5,218 20 0 0 12 8 192 26 158 8 3
Danville 9,151 30 0 2 3 25 89 15 67 7 0
Decatur 9,345 10 0 3 2 5 186 15 161 10 0
Delphi 2,887 13 0 2 3 8 62 13 47 2 0
Dyer 16,369 11 0 0 5 6 197 17 167 13 0
East Chicago 29,397 196 10 14 91 81 1,462 301 936 225 2
Edinburgh 4,509 14 0 1 2 11 455 19 433 3 0
Ellettsville 6,584 25 0 0 1 24 76 20 55 1 0
Elwood 8,492 7 0 0 0 7 285 78 188 19 1
Evansville 120,284 564 5 54 211 294 5,859 996 4,371 492 48
Fairmount 2,906 4 0 0 0 4 9 5 3 1 0
Fishers 83,358 16 0 2 7 7 826 78 719 29 1
Fort Wayne 254,820 949 31 95 447 376 9,807 2,396 7,025 386 25
Franklin 24,034 69 0 2 8 59 916 54 853 9 1
Garrett 6,291 2 0 1 0 1 281 56 209 16 0
Gary 78,819 883 54 47 327 455 4,719 1,454 2,533 732 67
Goshen 32,195 30 1 8 10 11 1,098 198 830 70 5
Greenfield 21,175 12 0 1 8 3 407 40 350 17
Greensburg 11,675 32 0 2 3 27 59 13 44 2 0
Greenwood4 53,208 200 1 1 9 189 1,908 175 1,645 88 5
Griffith 16,671 30 0 2 18 10 565 100 411 54 0
Hagerstown 1,764 3 0 0 0 3 34 11 20 3 0
Hammond 79,329 654 9 37 228 380 3,235 608 2,221 406 33
Hartford City 6,053 6 0 1 3 2 247 55 188 4 0
Highland 23,372 9 0 0 4 5 758 119 585 54 3
Hobart 28,631 61 1 2 13 45 1,537 143 1,309 85 3
Huntington 17,271 27 0 8 3 16 373 60 304 9 2
Indianapolis 850,220 10,479 129 656 3,800 5,894 44,606 13,445 26,156 5,005 317
Jasper 15,195 48 0 0 0 48 135 28 101 6 0
Jeffersonville 45,846 349 1 4 43 301 1,678 328 1,211 139 0
Knox 3,657 6 0 1 0 5 44 6 38 0 1
Kokomo 56,878 185 2 18 66 99 2,210 496 1,600 114 5
Lafayette 68,173 389 2 35 67 285 3,416 718 2,466 232 13
Lake Station 12,335 50 0 6 9 35 581 103 417 61 0
La Porte 22,112 44 1 2 16 25 869 150 690 29 2
Lawrenceburg 5,012 8 0 1 0 7 179 15 164 0 0
Ligonier 4,385 0 0 0 0 0 18 1 14 3 0
Linton 5,359 0 0 0 0 0 182 0 181 1 0
Long Beach 1,173 0 0 0 0 0 11 3 5 3 0
Lowell 9,354 18 0 0 0 18 105 11 93 1 0
Marion 29,549 80 4 7 34 35 1,148 162 911 75 4
Martinsville 11,823 7 0 2 1 4 712 82 594 36 1
Merrillville 35,756 99 3 1 33 62 1,337 246 979 112 2
Mishawaka 47,967 136 0 20 61 55 2,704 305 2,259 140 12
Mooresville 9,490 7 0 1 0 6 306 31 245 30 0
Mount Vernon 6,586 12 0 0 2 10 347 117 211 19 0
Muncie 70,059 288 0 29 96 163 3,007 532 2,321 154 24
Nappanee 6,694 3 0 1 1 1 113 27 81 5 1
New Albany 36,490 87 0 13 27 47 2,002 354 1,514 134 3
New Haven 15,575 24 0 2 13 9 532 83 422 27 0
New Whiteland 5,668 6 0 0 2 4 26 7 16 3 0
North Judson 1,759 6 0 1 0 5 46 4 41 1 1
North Liberty 1,890 0 0 0 0 0 10 3 7 0 0
North Manchester 5,987 11 0 7 0 4 108 19 89 0 0
North Vernon 6,640 22 0 2 0 20 392 38 338 16 0
Peru 11,219 21 1 1 2 17 133 52 76 5 0
Plainfield 29,644 50 0 2 7 41 886 78 755 53 0
Plymouth 10,034 7 0 1 2 4 316 17 290 9 0
Portage 36,862 70 0 8 13 49 866 124 697 45 0
Porter 4,883 1 0 0 0 1 86 9 71 6 0
Portland 6,278 1 0 0 0 1 244 12 214 18 0
Rensselaer 5,905 26 0 3 2 21 218 20 196 2 0
Rushville 6,204 10 0 5 1 4 290 48 234 8 0
Schererville 28,054 20 0 1 9 10 674 53 589 32 0
Scottsburg 6,614 28 0 1 5 22 300 45 248 7 0
Sellersburg5 6,150 0 0 3 109 17 77 15 0
Seymour 18,655 100 0 7 6 87 1,201 143 958 100 2
Shelbyville5 19,159 0 4 3 448 55 365 28 0
South Bend 100,711 664 9 93 363 199 4,890 1,468 3,096 326 25
South Whitley 1,728 1 0 1 0 0 32 2 29 1 0
Speedway 11,967 29 2 2 20 5 628 87 495 46 0
Tell City 7,228 4 0 1 1 2 137 22 108 7 0
Terre Haute4 61,215 177 4 22 54 97 3,261 850 2,130 281 52
Tipton 4,983 14 0 0 3 11 143 31 107 5 0
Valparaiso 32,090 33 0 2 7 24 665 87 555 23 0
Walkerton 2,284 1 0 1 0 0 44 12 27 5 0
Warsaw 13,897 106 0 6 1 99 447 49 382 16 2
Washington 11,813 43 1 6 2 34 755 143 572 40 1
Waterloo 2,240 11 0 1 0 10 78 12 62 4 6
Westfield 32,698 21 2 1 5 13 488 64 412 12 1
West Lafayette 30,687 37 0 6 6 25 536 90 430 16 0
Whitestown 3,778 19 0 0 0 19 114 11 98 5 0
Whiting 4,918 4 0 0 0 4 162 10 132 20 0
Winchester 4,866 1 0 0 0 1 241 37 198 6 0
Winona Lake 4,934 12 0 0 0 12 27 8 19 0 0
Zionsville 24,433 2 0 0 1 1 63 10 50 3 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.
  • 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 The FBI determined that the agency's data were overreported. Consequently, those data are not included in this table.

Data Declaration

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