Table 13
WASHINGTON
Hate Crime Incidents
per Bias Motivation and Quarter
by Agency, 2014
Agency type |
Agency name |
Number of incidents per bias motivation | Number of incidents per quarter | Population1 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Race | Religion |
Sexual orientation |
Ethnicity | Disability | Gender | Gender Identity |
1st quarter |
2nd quarter |
3rd quarter |
4th quarter |
|||
Total | 176 | 50 | 43 | 27 | 3 | 8 | 1 | ||||||
Cities | 152 | 40 | 34 | 21 | 2 | 5 | 0 | ||||||
Aberdeen | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 16,243 | |
Auburn | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 76,020 | |
Bainbridge Island | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 23,228 | |
Bellingham | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 83,048 | |
Bonney Lake | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 18,519 | |
Bothell | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 36,087 | |
Bremerton | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 39,359 | |
Burien | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 50,284 | |
Centralia | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 16,677 | |
Colfax | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2,856 | |
East Wenatchee | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 13,539 | |
Eatonville | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2,824 | |
Everett | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 105,911 | |||
Federal Way | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 93,551 | |
Fife | 3 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 9,479 | |
Fircrest | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6,644 | |
Kent | 10 | 1 | 5 | 0 | 0 | 0 | 0 | 3 | 4 | 6 | 3 | 125,837 | |
Kirkland | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 85,352 | |
Lacey | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 45,525 | |
Lakewood | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 59,313 | |
Longview | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 36,459 | |
Monroe | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 17,826 | |
Moses Lake | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 21,580 | |
Mountlake Terrace | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 20,871 | |
Mount Vernon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 32,805 | |
Normandy Park | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 6,610 | |
Ocean Shores | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5,622 | |
Olympia | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 48,763 | |
Port Angeles | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 19,220 | |
Port Townsend | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9,231 | |
Pullman | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 31,810 | |
Puyallup | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 39,016 | |
Quincy | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7,355 | |
Renton | 12 | 4 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | 4 | 4 | 98,240 | |
Ridgefield | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5,856 | |
Ritzville | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1,681 | |
Sammamish | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 51,016 | |
Seattle | 64 | 10 | 21 | 9 | 0 | 3 | 0 | 21 | 27 | 29 | 30 | 663,410 | |
Sequim | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 6,682 | |
Shelton | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 9,724 | |
Spokane2 | 7 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 5 | 211,025 | |
Spokane Valley | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 91,382 | |
Tacoma | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 204,722 | |
Vancouver | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 168,688 | |
Walla Walla | 4 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 3 | 3 | 31,833 | |
Woodinville | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 11,408 | |
Yakima | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 93,667 | |
Universities and Colleges | 3 | 1 | 2 | 0 | 0 | 2 | 1 | ||||||
University of Washington | 2 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 2 | 0 | 5 | 43,762 | |
Washington State University, Pullman | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 27,642 | |
Western Washington University | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 14,950 | |
Metropolitan Counties | 18 | 6 | 7 | 4 | 1 | 1 | 0 | ||||||
Clark | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | ||
King | 3 | 3 | 4 | 2 | 0 | 0 | 0 | 2 | 2 | 4 | 4 | ||
Kitsap | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | ||
Pend Oreille | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Pierce | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | ||
Skagit | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
Snohomish | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | ||
Spokane | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | ||
Stevens2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | ||
Thurston | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | ||
Walla Walla | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Whatcom | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 3 | 3 | ||
Nonmetropolitan Counties | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ||||||
Garfield | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Grays Harbor | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
San Juan | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
Whitman | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Other Agencies | 1 | 1 | 0 | 2 | 0 | 0 | 0 | ||||||
Port of Seattle | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 2 |
- 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 2013 school year, the most recent available. The enrollment figures include full-time and part-time students.
- 2 Includes one incident reported with more than one bias motivation.
Data Declaration
Provides the methodology used in constructing this table and other pertinent information about this table.