Table 4
January to June 2014–2015
Offenses Reported to Law Enforcement
by State by City 100,000 and over in population
Montana through Ohio
State | City | Population1 |
Violent crime |
Murder |
Rape (revised definition)2 |
Rape (legacy definition)3 |
Robbery |
Aggravated assault |
Property crime |
Burglary |
Larceny- theft |
Motor vehicle theft |
Arson4 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MONTANA | BILLINGS | 2014 | 110,245 | 195 | 2 | 41 | 28 | 124 | 2,345 | 326 | 1,758 | 261 | 3 | |
2015 | 233 | 2 | 30 | 40 | 161 | 2,369 | 295 | 1,662 | 412 | 6 | ||||
NEBRASKA | LINCOLN | 2014 | 271,208 | 445 | 4 | 76 | 99 | 266 | 4,212 | 628 | 3,442 | 142 | 33 | |
2015 | 471 | 0 | 83 | 104 | 284 | 4,226 | 625 | 3,432 | 169 | 38 | ||||
NEVADA | HENDERSON | 2014 | 274,121 | 198 | 1 | 33 | 69 | 95 | 2,725 | 692 | 1,788 | 245 | 11 | |
2015 | 229 | 1 | 51 | 83 | 94 | 2,677 | 679 | 1,731 | 267 | 7 | ||||
NORTH LAS VEGAS | 2014 | 229,436 | 877 | 4 | 40 | 223 | 610 | 2,795 | 1,019 | 1,335 | 441 | 10 | ||
2015 | 995 | 5 | 45 | 223 | 722 | 2,614 | 897 | 1,282 | 435 | 7 | ||||
RENO | 2014 | 235,055 | 530 | 3 | 60 | 141 | 326 | 3,144 | 626 | 2,180 | 338 | 7 | ||
2015 | 618 | 9 | 67 | 145 | 397 | 3,573 | 662 | 2,460 | 451 | 3 | ||||
NEW HAMPSHIRE | MANCHESTER | 2014 | 110,571 | 342 | 3 | 25 | 110 | 204 | 1,855 | 357 | 1,415 | 83 | 12 | |
2015 | 320 | 2 | 37 | 112 | 169 | 2,098 | 360 | 1,639 | 99 | 13 | ||||
NEW JERSEY | EDISON TOWNSHIP | 2014 | 101,965 | 46 | 0 | 2 | 25 | 19 | 541 | 146 | 346 | 49 | 6 | |
2015 | 46 | 0 | 1 | 21 | 24 | 570 | 103 | 427 | 40 | 7 | ||||
ELIZABETH | 2014 | 128,345 | 504 | 5 | 13 | 281 | 205 | 1,724 | 364 | 960 | 400 | 5 | ||
2015 | 484 | 8 | 23 | 242 | 211 | 1,744 | 325 | 1,038 | 381 | 6 | ||||
JERSEY CITY | 2014 | 260,005 | 621 | 13 | 16 | 272 | 320 | 1,983 | 441 | 1,266 | 276 | 20 | ||
2015 | 636 | 8 | 51 | 253 | 324 | 1,898 | 390 | 1,237 | 271 | 35 | ||||
NEWARK | 2014 | 279,110 | 1,355 | 43 | 21 | 891 | 400 | 3,743 | 828 | 1,824 | 1,091 | 21 | ||
2015 | 1,401 | 42 | 43 | 861 | 455 | 3,696 | 800 | 1,621 | 1,275 | 9 | ||||
PATERSON | 2014 | 146,083 | 572 | 9 | 9 | 286 | 268 | 1,856 | 556 | 958 | 342 | 8 | ||
2015 | 465 | 7 | 18 | 206 | 234 | 1,853 | 616 | 905 | 332 | 4 | ||||
WOODBRIDGE TOWNSHIP | 2014 | 100,969 | 53 | 0 | 3 | 25 | 25 | 932 | 119 | 770 | 43 | 3 | ||
2015 | 46 | 0 | 0 | 22 | 24 | 722 | 103 | 570 | 49 | 1 | ||||
NEW MEXICO | ALBUQUERQUE | 2014 | 558,874 | 2,367 | 12 | 197 | 619 | 1,539 | 15,064 | 3,095 | 10,248 | 1,721 | 46 | |
2015 | 2,691 | 23 | 199 | 861 | 1,608 | 15,853 | 2,903 | 10,755 | 2,195 | 46 | ||||
NEW YORK | AMHERST TOWN | 2014 | 118,860 | 64 | 1 | 5 | 22 | 36 | 905 | 71 | 815 | 19 | 2 | |
2015 | 56 | 0 | 7 | 19 | 30 | 812 | 81 | 708 | 23 | 6 | ||||
BUFFALO | 2014 | 258,419 | 1,507 | 19 | 76 | 605 | 807 | 5,876 | 1,435 | 3,941 | 500 | |||
2015 | 1,297 | 12 | 87 | 457 | 741 | 4,904 | 1,040 | 3,379 | 485 | 70 | ||||
NEW YORK | 2014 | 8,473,938 | 24,191 | 146 | 1,075 | 7,691 | 15,279 | 63,155 | 7,433 | 52,230 | 3,492 | |||
2015 | 23,225 | 164 | 1,082 | 7,598 | 14,381 | 60,300 | 6,410 | 50,526 | 3,364 | |||||
ROCHESTER | 2014 | 210,347 | 776 | 19 | 93 | 286 | 378 | 3,874 | 826 | 2,746 | 302 | 50 | ||
2015 | 853 | 15 | 65 | 287 | 486 | 3,575 | 696 | 2,502 | 377 | 44 | ||||
SYRACUSE | 2014 | 144,534 | 526 | 6 | 33 | 164 | 323 | 2,682 | 665 | 1,890 | 127 | 24 | ||
2015 | 528 | 8 | 34 | 191 | 295 | 2,361 | 530 | 1,690 | 141 | 19 | ||||
YONKERS | 2014 | 200,624 | 475 | 2 | 10 | 152 | 311 | 928 | 190 | 652 | 86 | 10 | ||
2015 | 447 | 3 | 23 | 161 | 260 | 980 | 194 | 644 | 142 | 6 | ||||
NORTH CAROLINA | CARY | 2014 | 154,978 | 55 | 3 | 5 | 18 | 29 | 827 | 164 | 642 | 21 | 4 | |
2015 | 31 | 2 | 4 | 9 | 16 | 919 | 169 | 718 | 32 | 2 | ||||
DURHAM | 2014 | 249,738 | 923 | 9 | 34 | 299 | 581 | 5,187 | 1,729 | 3,162 | 296 | 9 | ||
2015 | 1,069 | 15 | 29 | 360 | 665 | 5,377 | 1,670 | 3,395 | 312 | 16 | ||||
GREENSBORO | 2014 | 282,203 | 619 | 6 | 28 | 209 | 376 | 5,016 | 1,260 | 3,523 | 233 | 61 | ||
2015 | 739 | 11 | 35 | 217 | 476 | 4,812 | 1,068 | 3,505 | 239 | 52 | ||||
HIGH POINT | 2014 | 108,540 | 236 | 3 | 12 | 64 | 157 | 1,873 | 510 | 1,255 | 108 | 13 | ||
2015 | 309 | 2 | 18 | 99 | 190 | 1,683 | 333 | 1,230 | 120 | 6 | ||||
WILMINGTON | 2014 | 113,418 | 367 | 5 | 17 | 112 | 233 | 2,362 | 645 | 1,565 | 152 | 12 | ||
2015 | 389 | 4 | 29 | 127 | 229 | 2,441 | 627 | 1,655 | 159 | 4 | ||||
NORTH DAKOTA | FARGO | 2014 | 115,686 | 187 | 3 | 39 | 30 | 115 | 1,303 | 210 | 1,014 | 79 | 6 | |
2015 | 169 | 3 | 21 | 21 | 124 | 1,528 | 318 | 1,095 | 115 | 4 | ||||
OHIO5 | AKRON | 2014 | 197,891 | 679 | 8 | 89 | 176 | 406 | 4,007 | 1,234 | 2,536 | 237 | 30 | |
2015 | 597 | 11 | 77 | 200 | 309 | 3,858 | 1,111 | 2,450 | 297 | 38 | ||||
CINCINNATI | 2014 | 297,671 | 1,258 | 39 | 114 | 634 | 471 | 7,663 | 2,269 | 4,874 | 520 | 158 | ||
2015 | 1,287 | 38 | 99 | 601 | 549 | 7,606 | 1,979 | 5,126 | 501 | 233 | ||||
CLEVELAND | 2014 | 388,655 | 2,499 | 26 | 266 | 1,408 | 799 | 9,537 | 3,113 | 4,687 | 1,737 | 138 | ||
2015 | 2,390 | 37 | 215 | 1,286 | 852 | 8,537 | 2,411 | 4,509 | 1,617 | 126 | ||||
COLUMBUS | 2014 | 830,811 | 2,336 | 49 | 394 | 1,035 | 858 | 16,327 | 4,073 | 10,848 | 1,406 | 277 | ||
2015 | 2,237 | 37 | 346 | 1,085 | 769 | 15,537 | 3,346 | 10,678 | 1,513 | |||||
DAYTON | 2014 | 143,217 | 619 | 17 | 74 | 267 | 261 | 3,586 | 1,166 | 2,160 | 260 | 32 | ||
2015 | 650 | 10 | 70 | 230 | 340 | 3,187 | 1,095 | 1,815 | 277 | 53 | ||||
TOLEDO6, 7 | 2014 | 281,150 | 1,390 | 11 | 113 | 414 | 852 | 2,142 | 425 | |||||
2015 | 1,444 | 5 | 116 | 431 | 892 | 5,668 | 1,769 | 3,497 | 402 |
- 1 The 2014 population figures are FBI estimates based on provisional data from the U.S. Census Bureau. See the data declaration for further explanation.
- 2 The figures shown in this column for the offense of rape were reported using the revised Uniform Crime Reporting (UCR) definition of rape. See the data declaration for further explanation.
- 3 The figures shown in this column for the offense of rape were reported using the legacy UCR definition of rape. See the data declaration for further explanation.
- 4 The FBI does not publish arson data unless it receives data from either the agency or the state for six months of at least one of the reporting years.
- 5 Because of changes in the local agency's reporting practices, figures are not comparable to previous years' data.
- 6 The FBI determined that the agency did not follow national UCR Program guidelines for reporting an offense. Consequently, these figures are not included in this report.
- 7 Arson offenses are reported by the Toledo Fire Department; therefore those figures are not included in this report.
Data Declaration
Provides the methodology used in constructing this table and other pertinent information about this table.