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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 - Maryland

Table 8

MARYLAND

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		 Arson
Aberdeen 15,039 50 0 4 20 26 506 77 413 16 4
Annapolis 38,649 169 4 8 63 94 1,056 169 821 66 13
Baltimore 622,671 8,725 233 298 3,734 4,460 30,789 7,391 18,946 4,452 277
Baltimore City Sheriff 0 0 0 0 0 0 0 0 0 0
Bel Air 10,314 47 0 2 11 34 365 44 316 5 2
Berlin 4,589 5 0 0 1 4 97 28 69 0 0
Berwyn Heights 3,198 7 0 0 5 2 52 17 33 2 0
Bladensburg 9,381 95 1 2 43 49 407 106 230 71 0
Boonsboro 3,457 2 0 0 1 1 22 4 16 2 0
Bowie 56,483 61 0 6 28 27 882 155 661 66 4
Brentwood 3,116 1 0 0 0 1 16 4 10 2 0
Brunswick 6,078 8 0 0 0 8 75 15 60 0 0
Cambridge 12,530 119 0 2 31 86 611 95 510 6 12
Capitol Heights 4,455 15 0 0 3 12 63 26 20 17 0
Centreville 4,503 6 0 0 5 1 74 21 51 2 1
Chestertown 5,406 27 0 0 13 14 144 36 104 4 2
Cheverly 6,325 29 0 1 12 16 167 24 118 25 0
Chevy Chase Village 2,024 0 0 0 0 0 44 4 35 5 0
Colmar Manor 1,436 12 0 0 2 10 43 2 37 4 0
Cottage City 1,339 4 0 0 0 4 29 8 16 5 0
Crisfield 2,656 11 0 0 4 7 41 3 38 0 1
Cumberland 20,495 160 1 20 44 95 1,341 323 991 27 6
Delmar 3,047 10 0 0 1 9 83 25 57 1 2
Denton 4,357 13 0 1 4 8 275 34 241 0 0
District Heights 5,982 6 0 0 3 3 140 35 86 19 0
Easton 16,721 41 0 6 15 20 328 74 252 2 0
Edmonston 1,483 7 0 0 1 6 56 8 40 8 0
Elkton 15,629 194 0 11 40 143 1,042 186 828 28 4
Fairmount Heights 1,532 0 0 0 0 0 3 1 0 2 0
Federalsburg 2,683 41 0 0 2 39 84 16 64 4 0
Forest Heights 2,504 4 0 0 0 4 64 38 22 4 0
Frederick 66,709 328 1 7 98 222 1,792 227 1,504 61 8
Frostburg 8,740 19 0 3 4 12 215 43 170 2 0
Fruitland 5,158 20 0 2 5 13 249 18 231 0 1
Glenarden 6,163 9 0 0 3 6 96 24 57 15 0
Greenbelt 23,680 106 0 5 66 35 844 192 545 107 0
Greensboro 1,888 9 0 1 1 7 55 18 37 0 1
Hagerstown 40,866 244 5 10 101 128 1,498 375 1,051 72 27
Hampstead 6,336 6 0 2 1 3 75 14 60 1 2
Hancock 1,562 1 0 0 0 1 33 3 30 0 0
Havre de Grace 13,530 35 0 3 11 21 392 54 321 17 1
Hurlock 2,060 4 0 0 0 4 45 17 26 2 0
Hyattsville 17,955 76 0 1 56 19 1,109 114 938 57 0
Landover Hills 1,776 10 0 0 6 4 59 9 39 11 0
La Plata 9,032 45 0 0 6 39 279 47 227 5 3
Laurel 25,675 147 0 4 67 76 823 145 596 82 1
Lonaconing 1,164 0 0 0 0 0 1 0 1 0 0
Luke 64 0 0 0 0 0 0 0 0 0 0
Manchester 4,806 5 0 0 1 4 27 10 16 1 0
Morningside 2,049 6 0 0 3 3 52 20 26 6 0
Mount Rainier 8,268 50 0 1 35 14 280 64 170 46 0
New Carrollton 12,456 46 2 0 16 28 267 40 188 39 1
North East 3,685 7 0 0 2 5 130 14 107 9 0
Oakland 1,896 1 0 0 1 0 37 2 35 0 0
Ocean City 7,086 83 2 11 20 50 1,223 154 1,036 33 2
Ocean Pines 12,024 30 0 0 0 30 148 35 112 1 0
Oxford 638 0 0 0 0 0 6 1 5 0 0
Perryville 4,401 13 0 0 4 9 128 24 96 8 1
Pocomoke City 4,163 49 0 0 3 46 183 17 164 2 1
Princess Anne 3,302 22 0 3 5 14 184 37 140 7 3
Ridgely 1,608 10 0 0 2 8 47 10 36 1 1
Rising Sun 2,874 3 0 0 0 3 29 7 22 0 0
Riverdale Park 7,126 51 0 0 16 35 133 30 79 24 0
Rock Hall 1,321 4 0 0 2 2 18 3 14 1 0
Salisbury 31,517 326 0 17 99 210 1,806 336 1,420 50 11
Seat Pleasant 4,653 34 1 1 11 21 152 31 94 27 0
Smithsburg 2,989 1 0 0 0 1 19 5 14 0 2
Snow Hill 2,112 15 0 1 1 13 66 17 48 1 0
St. Michaels 1,017 2 0 0 0 2 46 5 40 1 0
Sykesville 4,453 4 0 0 1 3 24 4 16 4 1
Takoma Park 17,349 60 1 2 37 20 468 125 301 42 1
Taneytown 6,730 6 0 0 0 6 73 12 61 0 2
Thurmont 6,405 11 0 0 2 9 83 30 52 1 0
Trappe 1,064 4 0 0 0 4 20 2 18 0 0
University Park 2,603 2 0 0 1 1 76 20 49 7 0
Upper Marlboro 639 1 0 0 1 0 17 1 13 3 0
Westminster 18,632 88 2 0 13 73 849 113 726 10 2
  • 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.