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Home Hate Crime 2019 Tables Table 13 State Cuts Ohio

Ohio

OHIO

Hate Crime Incidents

per Bias Motivation and Quarter

by Agency, 2019

Agency type Agency name Number of incidents per bias motivation Number of incidents per quarter Population1
Race/
Ethnicity/
Ancestry
Religion Sexual
orientation
Disability Gender Gender
identity
1st
quarter
2nd
quarter
3rd
quarter
4th
quarter
Total 216 30 60 55 7 23
Cities 189 23 52 46 7 18
Akron 1 0 0 2 0 0 2 0 1 0 197,882
Alliance 1 0 0 0 0 0 1 0 0 0 21,536
Archbold 0 0 1 0 0 0 0 0 1 0 4,320
Ashland 0 0 1 0 0 0 0 0 0 1 20,410
Barberton 1 0 0 2 0 0 1 0 2 0 26,015
Bath Township, Summit County 0 0 0 2 0 0 0 2 0 0 9,659
Bay Village 0 0 0 1 0 0 0 0 1 0 15,235
Beachwood 1 0 0 0 0 0 1 0 0 0 11,612
Bexley 0 1 0 0 0 0 0 0 1 0 13,956
Blanchester 1 0 0 0 0 0 1 0 0 0 4,251
Blue Ash 1 0 0 0 0 0 0 0 0 1 12,307
Butler Township 0 0 0 1 0 0 1 0 0 0 7,819
Chillicothe 8 0 0 0 0 0 1 2 3 2 21,670
Cincinnati 24 1 4 3 0 0 6 9 10 7 303,335
Circleville 3 0 0 0 0 0 2 1 0 0 14,025
Cleveland 20 7 7 4 4 3 5 2 10 28 381,829
Colerain Township 2 0 0 0 0 0 0 0 2 0 59,479
Columbiana 0 0 1 0 0 0 0 1 0 0 6,209
Columbus 35 6 12 5 0 8 11 12 26 17 906,120
Copley Township 0 0 1 1 0 0 0 1 1 0 17,309
Dayton 6 0 1 0 0 0 3 2 1 1 140,427
Defiance 1 0 0 0 0 3 0 1 1 2 16,601
Delaware 1 0 1 0 0 0 1 0 1 0 40,616
Delhi Township 1 0 0 0 0 0 1 0 0 0 29,811
East Liverpool 1 0 0 0 0 0 0 1 0 0 10,653
Eaton 0 0 0 0 1 0 0 0 1 0 8,136
Elyria 3 0 1 0 0 0 0 0 2 2 53,806
Englewood 0 0 0 1 0 0 0 0 1 0 13,478
Fairfax 1 0 0 0 0 0 0 0 0 1 1,710
Franklin 1 0 0 0 0 0 1 0 0 0 11,675
Gahanna 3 0 0 0 0 0 1 1 1 0 35,847
Germantown 1 0 0 0 0 0 1 0 0 0 5,500
Grafton 0 0 0 0 1 0 0 1 0 0 5,808
Grandview Heights 0 1 0 0 0 0 0 0 1 0 8,581
Green Township 4 0 0 0 0 0 2 1 0 1 59,273
Greenville 1 0 0 0 0 0 0 1 0 0 12,629
Grove City 0 0 1 0 0 0 1 0 0 0 42,423
Hamilton 3 0 0 0 0 1 2 0 2 0 62,155
Heath 1 0 2 0 0 0 0 1 0 2 10,933
Hilliard 3 0 0 0 0 0 3 0 0 0 37,578
Huber Heights 2 1 0 2 0 0 0 1 3 1 38,183
Hudson 1 0 0 1 0 0 1 1 0 0 22,286
Jackson Township, Stark County 2 0 0 0 0 0 0 1 1 0 40,347
Lancaster 1 0 0 0 0 0 1 0 0 0 40,622
Lebanon 0 0 0 0 0 1 1 0 0 0 20,806
Lithopolis 0 0 1 0 0 0 0 0 1 0 1,777
Lockland 1 0 0 0 0 0 0 0 0 1 3,455
Logan 0 1 0 0 0 0 0 0 0 1 7,039
Lorain 1 0 0 0 0 0 0 0 1 0 64,022
Louisville 0 0 0 1 0 0 0 1 0 0 9,329
Lyndhurst 0 0 0 1 0 0 0 1 0 0 13,407
Madison Township, Franklin County 0 0 0 3 0 0 1 2 0 0 19,682
Madison Township, Lake County 1 0 0 0 0 0 0 1 0 0 15,646
Mansfield 2 0 1 0 0 0 0 1 1 1 46,418
Mason 1 0 0 0 0 0 0 1 0 0 33,939
Maumee 1 0 0 0 0 0 0 1 0 0 13,656
Mayfield Heights 0 0 1 0 0 0 0 0 0 1 18,519
Mentor-on-the-Lake 1 0 0 1 0 0 1 0 1 0 7,400
Miami Township, Montgomery County 0 0 1 0 0 0 0 0 1 0 29,188
Miamisburg 2 0 0 0 0 0 0 0 1 1 19,913
Middletown 7 1 3 3 0 0 3 3 6 2 48,878
Moraine 2 0 0 0 0 0 1 1 0 0 6,455
Mount Vernon 1 0 0 0 0 0 0 0 1 0 16,663
Napoleon 2 0 0 0 0 0 1 0 1 0 8,188
Nelsonville 1 0 0 0 0 0 0 1 0 0 5,158
New Albany 0 1 0 0 0 0 0 0 1 0 11,332
New Boston 1 0 0 0 0 0 1 0 0 0 2,093
New Franklin 0 0 0 1 0 0 0 0 1 0 14,162
New Knoxville 1 0 0 0 0 0 0 1 0 0 863
New Philadelphia 2 0 0 0 0 0 2 0 0 0 17,434
North Baltimore 1 0 0 0 0 0 0 1 0 0 3,557
North Canton 1 1 0 0 0 0 0 2 0 0 17,251
Norton 0 0 1 0 0 0 0 1 0 0 12,007
Norwood 0 0 0 0 0 1 0 1 0 19,922
Orrville 1 0 0 0 0 0 0 0 1 0 8,461
Portsmouth 0 0 2 0 0 0 1 1 20,353
Reading 1 0 0 0 0 0 1 0 0 0 10,995
Riverside 0 0 0 1 0 0 0 0 1 0 25,148
Rocky River 0 0 0 1 0 0 1 0 0 0 20,105
Salem 0 0 0 2 0 0 1 0 1 0 11,644
Shawnee Township 1 0 0 0 0 0 0 0 1 0 12,056
Shelby 0 0 0 1 0 0 1 0 0 0 8,997
Springfield Township, Hamilton County 2 0 0 0 0 0 0 0 2 0 36,696
Streetsboro 0 0 0 1 0 0 0 0 0 1 16,561
Toledo 2 0 2 0 0 0 2 1 0 1 273,505
Trotwood 2 0 0 0 0 1 0 0 2 1 24,435
Upper Arlington 1 1 0 0 0 0 1 1 0 0 35,754
Urbana 1 0 0 1 0 0 0 1 1 0 11,309
Van Wert 1 0 0 0 0 0 0 1 0 0 10,662
Wadsworth 0 0 2 0 0 0 1 0 1 0 24,058
Wapakoneta 1 0 0 0 0 0 0 0 1 0 9,717
Warren 1 0 0 0 0 0 0 0 1 0 38,012
Waverly 0 1 0 0 0 0 0 0 0 1 4,253
Weathersfield 0 0 0 1 0 0 0 1 0 0 8,017
West Carrollton 1 0 0 0 0 0 0 0 0 1 12,886
Whitehall 1 0 0 0 0 0 0 0 0 1 19,121
Wilmington 3 0 0 0 0 0 2 0 0 1 12,391
Wooster 1 0 0 2 0 0 0 1 1 1 26,615
Worthington 1 0 0 0 1 0 1 1 0 0 14,875
Youngstown 1 0 1 0 0 0 0 2 0 0 64,722
Zanesville 3 0 4 1 0 0 0 2 3 3 25,346
Universities and Colleges 2 1 1 0 0 0
Ohio State University, Columbus 2 1 0 0 0 0 0 0 0 3 64,924
Otterbein University 0 0 1 0 0 0 1 0 0 0 3,258
Metropolitan Counties 13 1 2 0 0 2
Clermont 0 1 0 0 0 0 0 0 1 0
Cuyahoga 1 0 0 0 0 0 1 0 0
Franklin 1 0 0 0 0 0 1 0 0 0
Geauga 1 0 0 0 0 0 0 0 1 0
Lawrence 0 0 1 0 0 0 0 1 0 0
Lorain 0 0 0 0 0 1 0 0 1 0
Lucas 3 0 0 0 0 0 0 0 1 2
Medina 1 0 0 0 0 0 0 0 0 1
Miami 1 0 0 0 0 0 0 1 0 0
Montgomery 3 0 0 0 0 1 2 1 1 0
Summit 1 0 1 0 0 0 1 0 1 0
Union 1 0 0 0 0 0 0 1 0 0
Nonmetropolitan Counties 11 5 3 8 0 1
Champaign 1 0 0 2 0 0 1 0 0 2
Columbiana 0 0 0 4 0 0 0 3 1 0
Coshocton 1 1 0 0 0 0 0 1 0 1
Defiance 0 0 1 0 0 0 0 0 1 0
Hancock 0 1 0 0 0 0 0 0 0 1
Hardin 0 1 0 1 0 0 2 0 0 0
Highland 0 0 1 0 0 0 0 0 1 0
Knox 2 1 0 0 0 0 1 0 1 1
Logan 0 0 1 0 0 0 0 1 0 0
Morgan 1 0 0 0 0 0 1 0 0 0
Ross 2 0 0 0 0 0 1 0 1 0
Tuscarawas 1 1 0 0 0 1 0 0 2 1
Vinton 1 0 0 0 0 0 1 0 0 0
Washington 0 0 0 1 0 0 0 0 0 1
Wayne 2 0 0 0 0 0 0 0 2 0
State Police Agencies 0 0 0 1 0 0
Ohio State Highway Patrol 0 0 0 1 0 0 0 1 0 0
Other Agencies 1 0 2 0 0 2
Cleveland Metropolitan Park District 1 0 0 0 0 1 0 2 0 0
Greater Cleveland Regional Transit Authority 0 0 0 0 0 1 0 1 0 0
Ohio Department of Natural Resources 0 0 2 0 0 0 0 1 1 0
  • 1 Population figures are published only for the cities. The figures listed for the universities and colleges are student enrollment and were provided by the United States Department of Education for the 2018 school year, the most recent available. The enrollment figures include full-time and part-time students.