Prepared for SAALT by Radha Modi
As of August 22, 2017, there have been 150 hate incidents against those who identify or are perceived as Muslim, Sikh, South Asian, Arab, Middle Eastern, and Asian. The new total surpasses the previous year’s (marked as November 2015 to November 2016) total by 20 incidents, as shown in Figure 1. With the support from Donald Trump, after the events of Charlottesville, VA, white supremacists, neo-Nazis, and white nationalists feel encouraged to continue their violence against immigrants and communities of color. For example, on August 20, 2017, a neighborhood in Alameda, CA, was strewn with swastika-adorned flyers. These flyers depicted a swastika over the image of a Muslim woman in a hijab with the words “Help me kill you, stupid.” Donald Trump’s lack of unequivocal denouncement of white supremacists leads to widespread endangerment of many marginalized communities.
While the patterns of the most common type of hate incidents have not changed from previous reports, Figure 2 illustrates that these types of incidents are steadily increasing week by week. In particular, there are 53 incidents of physical assaults against those who identify or are perceived as Muslim, Sikh, South Asian, Arab, Middle Eastern, and Asian that have been reported over the last nine months. Just this past week, in Cleveland, OH, an immigrant man was physically attacked and experienced significant head and face injuries after being violently knocked out. To learn more about this and other reported hate incidents, refer to SAALT’s Acts of Hate Database.
Most hate incidents are being reported in the western and eastern regions of the U.S., making up about two-thirds of all reported hate violence, as shown in Figure 3. Additionally, the highest proportions of reports are from the states of California and New York where there are greater numbers of immigrants and communities of color. In future reports, we will provide an interactive map of all hate incidents across the U.S., as documented in the Acts of Hate Database.