Table 4
January to June 2015–2016
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 | 2015 | 109,997 | 243 | 4 | 33 | 41 | 165 | 2,404 | 299 | 1,691 | 414 | 6 | |
2016 | 270 | 0 | 33 | 49 | 188 | 2,537 | 319 | 1,906 | 312 | 10 | ||||
NEBRASKA | LINCOLN | 2015 | 276,585 | 471 | 0 | 83 | 104 | 284 | 4,226 | 625 | 3,432 | 169 | 38 | |
2016 | 473 | 8 | 101 | 90 | 274 | 4,104 | 597 | 3,324 | 183 | |||||
OMAHA5 | 2015 | 452,252 | 1,213 | 26 | 100 | 329 | 758 | 7,704 | 1,079 | 5,512 | 1,113 | 37 | ||
2016 | 1,141 | 12 | 118 | 248 | 763 | 8,166 | 922 | 5,820 | 1,424 | 32 | ||||
NEVADA | HENDERSON | 2015 | 282,554 | 224 | 2 | 45 | 84 | 93 | 2,698 | 688 | 1,744 | 266 | 7 | |
2016 | 305 | 3 | 48 | 106 | 148 | 2,828 | 663 | 1,851 | 314 | 8 | ||||
LAS VEGAS METROPOLITAN POLICE DEPARTMENT | 2015 | 1,562,134 | 6,798 | 54 | 555 | 2,326 | 3,863 | 22,760 | 7,244 | 11,959 | 3,557 | 80 | ||
2016 | 7,277 | 83 | 735 | 2,537 | 3,922 | 22,234 | 6,115 | 11,881 | 4,238 | 49 | ||||
NORTH LAS VEGAS | 2015 | 234,386 | 995 | 5 | 45 | 223 | 722 | 2,614 | 897 | 1,282 | 435 | 7 | ||
2016 | 1,122 | 11 | 46 | 243 | 822 | 2,543 | 789 | 1,151 | 603 | 9 | ||||
RENO | 2015 | 239,721 | 618 | 9 | 67 | 145 | 397 | 3,573 | 662 | 2,460 | 451 | 9 | ||
2016 | 809 | 4 | 72 | 190 | 543 | 3,820 | 599 | 2,693 | 528 | 8 | ||||
NEW HAMPSHIRE | MANCHESTER | 2015 | 110,661 | 323 | 2 | 37 | 112 | 172 | 2,099 | 359 | 1,640 | 100 | 13 | |
2016 | 364 | 1 | 39 | 102 | 222 | 1,565 | 240 | 1,261 | 64 | 16 | ||||
NEW JERSEY | EDISON TOWNSHIP | 2015 | 102,281 | 46 | 0 | 1 | 21 | 24 | 570 | 103 | 427 | 40 | 7 | |
2016 | 49 | 0 | 3 | 16 | 30 | 528 | 71 | 421 | 36 | 1 | ||||
ELIZABETH | 2015 | 129,364 | 484 | 8 | 23 | 242 | 211 | 1,744 | 325 | 1,038 | 381 | 6 | ||
2016 | 511 | 3 | 22 | 235 | 251 | 1,976 | 394 | 1,141 | 441 | 1 | ||||
JERSEY CITY | 2015 | 265,159 | 636 | 8 | 51 | 253 | 324 | 1,898 | 390 | 1,237 | 271 | 35 | ||
2016 | 598 | 11 | 33 | 258 | 296 | 1,986 | 479 | 1,257 | 250 | 23 | ||||
PATERSON | 2015 | 146,588 | 465 | 7 | 18 | 206 | 234 | 1,853 | 616 | 905 | 332 | 4 | ||
2016 | 547 | 7 | 28 | 263 | 249 | 1,498 | 464 | 727 | 307 | 5 | ||||
WOODBRIDGE TOWNSHIP | 2015 | 100,950 | 46 | 0 | 0 | 22 | 24 | 722 | 103 | 570 | 49 | 1 | ||
2016 | 51 | 0 | 4 | 24 | 23 | 802 | 102 | 643 | 57 | 2 | ||||
NEW MEXICO | ALBUQUERQUE | 2015 | 559,721 | 2,691 | 23 | 199 | 861 | 1,608 | 15,853 | 2,903 | 10,755 | 2,195 | 46 | |
2016 | 2,897 | 32 | 193 | 847 | 1,825 | 17,888 | 2,992 | 11,575 | 3,321 | |||||
LAS CRUCES | 2015 | 102,227 | 124 | 2 | 15 | 33 | 74 | 2,434 | 358 | 1,957 | 119 | 3 | ||
2016 | 126 | 2 | 16 | 19 | 89 | 2,351 | 377 | 1,848 | 126 | 1 | ||||
NEW YORK | AMHERST TOWN | 2015 | 120,207 | 55 | 0 | 7 | 19 | 29 | 811 | 81 | 707 | 23 | 6 | |
2016 | 45 | 1 | 3 | 15 | 26 | 953 | 79 | 857 | 17 | 2 | ||||
BUFFALO | 2015 | 258,096 | 1,291 | 12 | 81 | 457 | 741 | 4,904 | 1,040 | 3,379 | 485 | 70 | ||
2016 | 1,358 | 19 | 88 | 468 | 783 | 4,803 | 1,184 | 3,227 | 392 | 108 | ||||
NEW YORK | 2015 | 8,550,861 | 23,225 | 164 | 1,081 | 7,599 | 14,381 | 60,298 | 6,410 | 50,526 | 3,362 | |||
2016 | 23,543 | 159 | 1,184 | 7,366 | 14,834 | 59,928 | 5,809 | 51,171 | 2,948 | |||||
ROCHESTER | 2015 | 209,922 | 852 | 19 | 65 | 287 | 481 | 3,576 | 696 | 2,503 | 377 | 44 | ||
2016 | 879 | 16 | 72 | 291 | 500 | 3,583 | 677 | 2,572 | 334 | 48 | ||||
SYRACUSE | 2015 | 144,027 | 530 | 10 | 34 | 191 | 295 | 2,361 | 530 | 1,690 | 141 | 19 | ||
2016 | 502 | 13 | 31 | 149 | 309 | 2,209 | 469 | 1,576 | 164 | 24 | ||||
YONKERS | 2015 | 201,753 | 447 | 3 | 23 | 161 | 260 | 960 | 194 | 625 | 141 | 6 | ||
2016 | 464 | 4 | 21 | 206 | 233 | 988 | 181 | 712 | 95 | 9 | ||||
NORTH CAROLINA | CARY | 2015 | 160,291 | 31 | 2 | 4 | 9 | 16 | 919 | 169 | 718 | 32 | 2 | |
2016 | 67 | 0 | 9 | 24 | 34 | 852 | 126 | 699 | 27 | 4 | ||||
FAYETTEVILLE | 2015 | 204,731 | 453 | 13 | 26 | 162 | 252 | 3,907 | 871 | 2,870 | 166 | 21 | ||
2016 | 659 | 17 | 46 | 147 | 449 | 4,598 | 892 | 3,520 | 186 | 28 | ||||
GREENSBORO | 2015 | 285,950 | 739 | 11 | 35 | 217 | 476 | 4,812 | 1,068 | 3,505 | 239 | 52 | ||
2016 | 898 | 7 | 41 | 252 | 598 | 4,770 | 1,029 | 3,441 | 300 | 56 | ||||
HIGH POINT | 2015 | 109,669 | 309 | 2 | 18 | 99 | 190 | 1,683 | 333 | 1,230 | 120 | 6 | ||
2016 | 318 | 2 | 16 | 74 | 226 | 1,896 | 346 | 1,463 | 87 | 5 | ||||
WILMINGTON | 2015 | 115,434 | 389 | 4 | 29 | 127 | 229 | 2,441 | 627 | 1,655 | 159 | 4 | ||
2016 | 409 | 5 | 22 | 114 | 268 | 2,348 | 659 | 1,565 | 124 | 4 | ||||
NORTH DAKOTA | FARGO | 2015 | 118,490 | 177 | 3 | 29 | 21 | 124 | 1,545 | 321 | 1,107 | 117 | 4 | |
2016 | 215 | 1 | 39 | 30 | 145 | 1,737 | 251 | 1,352 | 134 | 9 | ||||
OHIO | AKRON | 2015 | 197,587 | 615 | 12 | 86 | 203 | 314 | 3,967 | 1,147 | 2,518 | 302 | 38 | |
2016 | 531 | 16 | 99 | 181 | 235 | 3,210 | 979 | 1,982 | 249 | 43 | ||||
CINCINNATI | 2015 | 298,478 | 1,340 | 38 | 129 | 607 | 566 | 7,793 | 2,006 | 5,275 | 512 | 223 | ||
2016 | 1,268 | 32 | 128 | 570 | 538 | 7,064 | 1,843 | 4,716 | 505 | |||||
COLUMBUS | 2015 | 847,745 | 2,338 | 39 | 409 | 1,100 | 790 | 15,851 | 3,403 | 10,908 | 1,540 | 174 | ||
2016 | 2,124 | 40 | 395 | 1,018 | 671 | 16,668 | 3,537 | 11,572 | 1,559 | 190 | ||||
DAYTON | 2015 | 140,683 | 663 | 10 | 75 | 235 | 343 | 3,254 | 1,110 | 1,857 | 287 | 53 | ||
2016 | 573 | 9 | 44 | 202 | 318 | 3,354 | 977 | 2,030 | 347 | 7 |
- 1 The 2015 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 This agency began the year submitting rape data classified according to the revised UCR definition. However, at some point during the calendar year, the agency modified its reporting methods and reverted back to classifying and submitting rape offenses according to the legacy UCR definition of rape. See the data declaration for further explanation.
Data Declaration
Provides the methodology used in constructing this table and other pertinent information about this table.