Skip to main content

Advertisement

Log in

Religious Motivated Hate Crimes: Reporting to Law Enforcement and Case Outcomes

  • Published:
American Journal of Criminal Justice Aims and scope Submit manuscript

Abstract

Relative to non-bias motivated crimes, hate crimes have much graver consequences for victims and their community. Despite the large increase in religious hate crimes over the past decade relative to all other hate crime, little is known about these types of crimes and the factors associated with both reporting to law enforcement and case outcomes. Utilizing the National Crime Victimization Survey and National Incident-Based Reporting System datasets, this study examines the relationship between victim, offender, and incident characteristics on reporting to law enforcement and case outcomes. Most religious hate crimes are not reported (41.3 %) in part due to perceptions of law enforcement’s perceived response. Of the violent incidents that are reported, the vast majority do not result in the arrest of an offender (22.2 %). Whereas only a small number of variables related to the seriousness of the offense are associated with both reporting and arrest, these exhibited large effect sizes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The terms ‘hate crime’ and ‘bias crime’ are used interchangeably.

  2. While “anti-Semitic” is more common, we use anti-Jewish to be consistent with the terminology used by the FBI.

  3. Despite being committed by a white right-wing extremist, Muslims were initially presumed to be behind the attack.

  4. Importantly, victims may receive compensation even if the case does not result in arrest or conviction.

  5. In 2010, the NCVS was modified to include additional questions on evidence of a hate crime (e.g., presence of hate symbols, whether the police confirmed it).

  6. The UCR Handbook (Federal Bureau of Investigation, 2004, pp. 149) allows a crime to be cleared by arrest or exceptional means. While the latter is rare, it occurs as a result of some element beyond law enforcement control which prevents the filing of formal charges against the offender (e.g., victim refuses to cooperate with prosecution, extradition is denied, death of the offender).

  7. Results from the estimated multilevel model were consistent concerning their direction, effect size, and significance.

  8. Three cases were removed for the analysis due to missing data on the dependent variable.

  9. For instance, Nelson et al. (2015) combined the categories of anti-Arab and anti-Muslim.

  10. The authors would like to thank an anonymous reviewer for noting this limitation.

References

  • Abramovsky, A. (1991). Bias crime: A call for alternative responses. Fordham Urban Law Journal, 19, 875–914.

    Google Scholar 

  • Abu-Ras, W. M., & Suarez, Z. E. (2009). Muslim men and women’s perception of discrimination, hate crimes, and PTSD symptoms post 9/11. Traumatology, 15, 48–63.

    Article  Google Scholar 

  • Addington, L. A., & Rennison, C. M. (2008). Rape co–occurrences: Do additional crimes affect victim reporting and police clearance of rape? Journal of Quantitative Criminology, 24, 205–226.

    Article  Google Scholar 

  • Allison, P. D. (2001). Missing data. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Bell, J. (2002). Policing hatred: Law enforcement, civil rights, and hate crimes. New York, NY: New York University Press.

  • Black, D. (1971). The social organization of arrest. Stanford Law Review, 23, 1087–1111.

    Article  Google Scholar 

  • Black, D. (1976). The behavior of law. New York: Academic Press.

    Google Scholar 

  • Blalock, H. (1967). Toward a theory of minority-group relations. New York, NY: Wiley.

  • Boyd, E. A., Berk, R. A., & Hamner, K. M. (1996). “motivated by hatred or prejudice”: Categorization of hate–motivated crimes in two police divisions. Law & Society Review, 30, 819–850.

    Article  Google Scholar 

  • Briggs, S., & Opsal, T. (2012). The influence of victim ethnicity on arrest in violent crimes. Criminal Justice Studies, 25, 177–189.

  • Bureau of Justice Statistics. (September 2014). National Crime Victimization Survey: Technical documentation. Washington, D.C.: U.S. Department of Justice.

  • Cheng, W., Ickes, W., & Kenworthy, J. B. (2013). The phenomenon of hate crimes in the United States. Journal of Applied Social Psychology, 43, 761–794.

    Article  Google Scholar 

  • Clarke, P. (2008). When can group level clustering be ignored? Multilevel models versus single-level models with sparse data. Journal of Epidemiology and Community Health, 62, 752–758.

    Article  Google Scholar 

  • Corcoran, H., Lader, D., & Smith, K. (2015). Hate crime, England and Wales 2014/2015. London, UK: Home Office, Office for National Statistics and Ministry of Justice.

    Google Scholar 

  • Cronin, S. W., McDevitt, J., Farrell, A., & Nolan, J. J. (2007). Bias-crime reporting: Organizational responses to ambiguity, uncertainty, and infrequency in eight police departments. American Behavioral Scientist, 51, 213–231.

    Article  Google Scholar 

  • Deloughery, K., King, R., & Asal, V. (2012). Close cousins or distant relative? The relationship between terrorism and hate crime. Crime & Delinquency, 58, 663–668.

    Article  Google Scholar 

  • Disha, I., Cavendish, J. C., & King, R. D. (2011). Historical events and spaces of hate: Hate crimes against Arabs and Muslims in post-9/11 America. Social Problems, 58, 21–46.

    Article  Google Scholar 

  • Federal Bureau of Investigation (2004). Uniform Crime Reporting handbook. Retrieved from http://www2.fbi.gov/ucr/handbook/ucrhandbook04.pdf.

  • Federal Bureau of Investigation (2015). Hate crime statistics, 2014. Retrieved from https://www.fbi.gov/about-us/cjis/ucr/hate-crime/2014.

  • Garcia, L., McDevitt, J., Gu, J., & Balboni (2002). Psychological and behavioral effects of bias and non-bias motivated assault. Washington, DC: U.S. Department of Justice, National Institute of Justice.

  • Garofalo, J. (1997). Hate crime victimization in the United States. In R. C. Davis, A. J. Lurigio, & W. G. Skogan (Eds.), Victims of crime (2nd ed., pp. 134–145). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Gottfredson, M. R., & Hindelang, M. J. (1979). A study of behavior of law. American Sociological Review, 44, 3–18.

    Article  Google Scholar 

  • Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549–576.

    Article  Google Scholar 

  • Harlow, C. W. (2005). Hate crime reported by victims and police. (NCJ–209911). Washington, D.C.: Bureau of Justice Statistics.

    Google Scholar 

  • Harrell, F. E. (2016). rms: Regression modeling strategies. R package version 4.4–2. https://CRAN.R-project.org/package=rms

  • Herek, G. M., Gillis, J. R., & Cogan, J. C. (1999). Psychological sequelae of hate-crime victimization among lesbian, gay, and bisexual adults. Journal of Consulting and Clinical Psychology, 67, 945–951.

    Article  Google Scholar 

  • Iganski, P., & Lagou, S, L. (2015). Hate crimes hurt some more than others: Implications for the just sentencing of offenders. Journal of Interpersonal Violence, 30, 1696–1718.

  • Jenness, V., & Grattet, R. (2001). Making hate a crime: From social movement to law enforcement. New York, NY: Russell Sage Foundation.

    Google Scholar 

  • Kauppinen, A. (2015). Hate and punishment. Journal of Interpersonal Violence, 30, 1719–1737.

    Article  Google Scholar 

  • Kerstetter, W. A. (1990). Gateway to justice: Police and prosecutorial response to sexual assaults against women. The Journal of Criminal Law and Criminology, 81, 267–313.

    Article  Google Scholar 

  • King, R. D., & Sutton, G. M. (2013). High times for hate crimes: Explaining the temporal clustering of hate-motivated offending. Criminology, 51, 871–894.

    Article  Google Scholar 

  • King, R. D., Messner, S. F., & Baller, R. D. (2009). Contemporary hate crimes, law enforcement, and the legacy of racial violence. American Sociological Review, 74, 291–315.

    Article  Google Scholar 

  • Langton, L., & Planty, M. (2011). Hate crime, 2003–2009. (NCJ-234085). Washington, D.C.: Bureau of Justice Statistics.

  • Laub, J. (1981). Ecological considerations in victim reporting to the police. Journal of Criminal Justice, 9, 419–430.

  • Lawrence, F. (2002). Punishing hate: Bias crimes under American law. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Leicester Centre for Hate Studies (2014). The Leicester hate crime project. Leicester, UK: University of Leicester.

    Google Scholar 

  • Levin, B. (1999). Hate crimes: Worse by definition. Journal of Contemporary Criminal Justice, 15, 6–21.

    Article  Google Scholar 

  • Levin, B., & Amster, S. E. (2007). Make hate history: Hate crime and policing in America’s most diverse city. American Behavioral Scientist, 51, 319–348.

    Article  Google Scholar 

  • Levin, J., & Reichelmann, A. (2015). From thrill to defensive motivation: The role of group threat in the changing nature of hate-motivated assaults. American Behavioral Scientist, 59, 1546–1561.

    Article  Google Scholar 

  • Lyons, C. J., & Roberts, A. (2014). The difference “hate” makes in clearing crime: An event history analysis of incident factors. Journal of Contemporary Criminal Justice, 30, 268–289.

    Article  Google Scholar 

  • Martin, S. E. (1995). “A cross–burning is not just an arson”: Police social construction of hate crimes in Baltimore County. Criminology, 33, 303–326.

  • Martin, S. E. (1996). Investigating hate crimes: Case characteristics and law enforcement responses. Justice Quarterly, 13, 455–480.

    Article  Google Scholar 

  • McDevitt, J., Balboni, J., Garcia, L., & Gu, J. (2001). Consequences for victims: A comparison of bias- and non-bias-motivated assaults. American Behavioral Scientist, 45, 697–713.

    Article  Google Scholar 

  • McNeish, D. M., & Stapleton, L. M. (2014). The effect of small sample size on two-level model estimates: A review and illustration. Educational Psychology Review, 28, 295–314.

    Article  Google Scholar 

  • Messner, S. F., McHugh, S., & Felson, R. B. (2004). Distinctive characteristics of assaults motivated by bias. Criminology, 42, 585–618.

    Article  Google Scholar 

  • Ministry of Justice (2013). An overview of hate crime in England and Wales. London, UK: Home Office, Office for National Statistics and Ministry of Justice.

    Google Scholar 

  • Nelson, M. S., Wooditch, A., Martin, F. A., Hummer, D., & Gabbidon, S. L. (2015). Hate crimes in post-9/11 Pennsylvania: Case characteristics and police response revisited. Race and Justice. Advance online publication. doi:10.1177/2153368715617812.

  • Perry, B. (2002). Defending the color line: Racially and ethnically motivated hate crime. American Behavioral Scientist, 46, 72–92.

    Article  Google Scholar 

  • Perry, B., & Alvi, S. (2011). ‘We are all vulnerable’: The in terrorem effects of hate crime. International Review of Victimology, 18, 57–71.

    Article  Google Scholar 

  • Phillips, N. D. (2009). The prosecution of hate crimes: The limitations of the hate crime typology. Journal of Interpersonal Violence, 24, 883–905.

    Article  Google Scholar 

  • R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R–project.org/

  • Reisig, M. D., Bratton, J., & Gertz, M. G. (2007). The construct validity and refinement of processbased policing measures. Criminal Justice and Behavior, 34, 1005–1028.

  • Roberts, A. (2009). Contributions of the National Incident–Based Reporting System to substantive knowledge in criminology: A review of research. Sociology Compass, 3, 433–458.

    Article  Google Scholar 

  • Robitzsch, A., Grund, S., & Henke, T. (2016). Miceadds: Some additional multiple imputation functions, especially for ‘mice’. R package version 1.7–8. https://CRAN.R-project.org/package=miceadds

    Google Scholar 

  • Sandholtz, N., Langton, L., & Planty, M. (2013). Hate crime victimization, 2003–2011. (NCJ-241291). Washington, D.C.: Bureau of Justice Statistics.

  • Skogan, W. G. (1984). Reporting crimes to the police: The status of world research. Journal of Research in Crime and Delinquency, 21, 113–137.

    Article  Google Scholar 

  • Strom, K. J. (2001). Hate crimes reported in NIBRS, 1997–99. (NCJ-186765). Washington, D.C.: Bureau of Justice Statistics.

  • Sunshine, J., & Tyler, T. R. (2003). The role of procedural justice and legitimacy in shaping public support for policing. Law and Society Review, 37, 513–548.

    Article  Google Scholar 

  • Theall, K. P., Scribner, R., Broyles, S., Yu, Q., Chotalia, J., Simonsen, N., et al. (2011). Impact of small group size on neighbourhood influences in multilevel models. Journal of Epidemiology and Community Health, 65, 688–695.

    Article  Google Scholar 

  • van Buuren, S., & Groothuis-Oudshoorn, K. (2011). Mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45(3), 1–67.

    Article  Google Scholar 

  • Walker, S., & Katz, C. M. (1995). Less than meets the eye: Police department bias crime units. American Journal of Police, 14, 29–48.

    Article  Google Scholar 

  • Wexler, C., & Marx, G. T. (1986). When law and order works: Boston’s innovative approach to the problem of racial violence. Crime & Delinquency, 32, 205–223.

    Article  Google Scholar 

  • Wilson, M. (2014). Hate crime victimization, 2004–2012. (NCJ–244409). Washington, D.C.: Bureau of Justice Statistics.

  • Wilson, M. S., & Ruback, R. B. (2003). Hate crimes in Pennsylvania, 1984-99: Case characteristics and police responses. Justice Quarterly, 20, 373–398.

    Article  Google Scholar 

  • Wisconsin v. Mitchell. (1993). 508 U.S. 476.

Download references

Acknowledgments

This work was supported by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice under Grant No. 2013-R2-CX-0033. The opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect those of the Department of Justice.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Scott M. Walfield.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Walfield, S.M., Socia, K.M. & Powers, R.A. Religious Motivated Hate Crimes: Reporting to Law Enforcement and Case Outcomes. Am J Crim Just 42, 148–169 (2017). https://doi.org/10.1007/s12103-016-9349-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12103-016-9349-3

Keywords

Navigation