Washington
WASHINGTON
Hate Crime Incidents
per Bias Motivation and Quarter
by Agency, 2018
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 | 299 | 72 | 106 | 6 | 5 | 19 | ||||||
Cities | 270 | 55 | 102 | 6 | 4 | 18 | ||||||
Airway Heights | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 9,085 | |
Auburn | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 72,392 | |
Bellevue | 3 | 2 | 3 | 0 | 0 | 0 | 2 | 3 | 2 | 1 | 146,913 | |
Bellingham | 1 | 4 | 0 | 1 | 0 | 0 | 2 | 2 | 1 | 1 | 90,208 | |
Bothell | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 28,325 | |
Castle Rock | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2,251 | |
Centralia | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 17,299 | |
Cheney | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 12,715 | |
Clarkston | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7,417 | |
Dupont | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9,678 | |
Edgewood | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 11,510 | |
Edmonds | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 42,565 | |
Everett | 7 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 2 | 111,091 | |
Fircrest | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6,839 | |
Issaquah | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 38,606 | |
Kennewick | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 82,687 | |
Kent | 11 | 3 | 3 | 0 | 0 | 1 | 4 | 5 | 4 | 5 | 129,870 | |
Kirkland | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 89,805 | |
Lacey | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 50,844 | |
Lake Forest Park | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 13,504 | |
Lake Stevens | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 33,491 | |
Lakewood | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 60,694 | |
Longview | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 37,720 | |
Lynden | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 14,612 | |
Lynnwood | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 38,620 | |
Marysville | 4 | 1 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 70,204 | |
Mill Creek | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 21,234 | |
Monroe | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 19,003 | |
Morton | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1,164 | |
Mountlake Terrace | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 21,549 | |
Mount Vernon | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 35,550 | |
Newcastle | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 11,878 | |
Oak Harbor | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 23,330 | |
Ocean Shores | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5,977 | |
Olympia | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 52,312 | |
Port Angeles | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 19,992 | |
Port Townsend | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 9,615 | |
Pullman | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 33,896 | |
Puyallup | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41,572 | |
Redmond | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 65,827 | |
Renton | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 102,749 | |
Sammamish | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 65,604 | |
SeaTac | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 29,463 | |
Seattle | 159 | 33 | 81 | 4 | 3 | 11 | 57 | 79 | 90 | 64 | 742,759 | |
Sedro Woolley | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 11,953 | |
Spokane | 22 | 3 | 3 | 0 | 0 | 3 | 2 | 10 | 13 | 6 | 218,222 | |
Spokane Valley | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 99,020 | |
Tacoma | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 215,687 | |
Tukwila2 | 3 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 20,288 | |
Tumwater | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 23,405 | |
Vancouver | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 177,580 | |
Walla Walla | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 32,906 | |
Woodland | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6,137 | |
Yakima | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 93,959 | |
Universities and Colleges | 1 | 3 | 0 | 0 | 0 | 0 | ||||||
University of Washington | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 55,073 | |
Western Washington University | 0 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 17,475 | |
Metropolitan Counties | 25 | 14 | 3 | 0 | 1 | 0 | ||||||
Chelan | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | ||
Clark | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | ||
Cowlitz | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
King | 6 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | ||
Pierce | 5 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 0 | ||
Skagit | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Snohomish | 2 | 5 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 2 | ||
Spokane | 2 | 1 | 2 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | ||
Thurston | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | ||
Walla Walla | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | ||
Whatcom | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | ||
Yakima | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | ||
Nonmetropolitan Counties | 3 | 0 | 0 | 0 | 0 | 1 | ||||||
Island | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
Mason | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
Okanogan | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
San Juan | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | ||||
Other Agencies | 0 | 0 | 1 | 0 | 0 | 0 | ||||||
Port of Seattle | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
- 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 2017 school year, the most recent available. The enrollment figures include full-time and part-time students.
- 2 The figures shown include one incident reported with more than one bias motivation.