Table 13
WASHINGTON
Hate Crime Incidents
per Bias Motivation and Quarter
by Agency, 2015
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 | 160 | 43 | 57 | 3 | 3 | 9 | ||||||
Cities | 130 | 36 | 52 | 3 | 1 | 9 | ||||||
Aberdeen | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 16,100 | |
Anacortes | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 16,351 | |
Arlington | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 19,018 | |
Auburn | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 77,914 | |
Bellevue | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 138,532 | |
Bellingham | 3 | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 2 | 1 | 83,976 | |
Bothell | 0 | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 37,346 | |
Burien | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 50,701 | |
Burlington | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8,610 | |
Centralia | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 16,632 | |
Des Moines | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 31,335 | |
Edmonds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 41,187 | |
Ellensburg | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 18,899 | |
Everett | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 107,633 | |
Federal Way | 4 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 94,424 | |
Fife | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 9,642 | |
Kelso | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 11,756 | |
Kent | 12 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 6 | 2 | 127,259 | |
Lakewood | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 59,958 | |
Longview | 4 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 36,401 | |
Marysville | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 66,374 | |
Mercer Island | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 24,737 | |
Moses Lake | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 22,026 | |
Mountlake Terrace | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 21,051 | |
Mount Vernon | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 33,474 | |
Mukilteo | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 21,171 | |
Olympia | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 49,875 | |
Omak | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4,847 | |
Oroville | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1,676 | |
Orting | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7,401 | |
Port Angeles | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 19,304 | |
Pullman | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 32,174 | |
Puyallup | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 39,645 | |
Redmond | 1 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 | 60,542 | |
Renton | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 100,015 | |
Republic | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1,086 | |
Richland | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 54,218 | |
Sammamish | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 52,365 | |
SeaTac | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 28,418 | |
Seattle | 40 | 8 | 27 | 0 | 0 | 8 | 16 | 32 | 23 | 12 | 683,700 | |
Shelton | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 9,758 | |
Shoreline | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 55,690 | |
Soap Lake | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1,594 | |
Spokane2 | 3 | 4 | 5 | 0 | 0 | 0 | 3 | 1 | 4 | 4 | 212,698 | |
Spokane Valley | 3 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 92,157 | |
Steilacoom | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6,228 | |
Sunnyside | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 16,198 | |
Tacoma | 6 | 0 | 3 | 0 | 0 | 0 | 2 | 6 | 1 | 0 | 206,884 | |
Tukwila | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 20,116 | |
Vancouver | 3 | 1 | 0 | 1 | 0 | 0 | 1 | 2 | 1 | 1 | 171,076 | |
Walla Walla | 11 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 1 | 4 | 31,940 | |
Washougal | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 15,220 | |
Woodway | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1,362 | |
Yakima | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 93,798 | |
Zillah | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3,138 | |
Universities and Colleges | 7 | 0 | 2 | 0 | 1 | 0 | ||||||
Eastern Washington University | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 13,453 | |
Evergreen State College | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4,219 | |
University of Washington | 4 | 0 | 0 | 0 | 1 | 0 | 3 | 1 | 1 | 0 | 44,784 | |
Washington State University, Pullman | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 28,686 | |
Western Washington University | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 15,060 | |
Metropolitan Counties | 19 | 7 | 2 | 0 | 0 | 0 | ||||||
Asotin | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ||
Clark | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ||
Cowlitz | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
King | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | ||
Kitsap | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Pend Oreille | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | ||
Pierce | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Skagit | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Snohomish | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | ||
Spokane | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | ||
Thurston | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ||
Whatcom | 3 | 3 | 1 | 0 | 0 | 0 | 4 | 1 | 2 | 0 | ||
Yakima | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Nonmetropolitan Counties | 4 | 0 | 0 | 0 | 1 | 0 | ||||||
Clallam | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | ||
Garfield | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
Grays Harbor | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
Lewis | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Okanogan | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Tribal Agencies | 0 | 0 | 1 | 0 | 0 | 0 | ||||||
Lummi Tribal | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 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 2014 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.