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STATISTICAL
ANALYSIS OF I-17 VIOLATOR STUDY |
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RACIAL PROFILING
The second step in determining if a colorable claim of racial profiling exists involves determining the racial and ethnic composition of people violating motor vehicle laws in Yavapai County and thus eligible to be stopped by Officers from the Arizona Department of Public Safety. To make this determination, I designed a violator survey of I-17 in Yavapai County. The methodology of this study was consistent with methodological guidelines established by four experts (two working for the state and two working for the defense) in the recent Coconino County racial profiling case (State v. Folkes et al.). The experts involved in designing the Coconino methodology included myself, Dr. John Lamberth of Temple University, Mr. Shappard Wolf of Arizona State University and Dr. Jeffrey Wilson of Arizona State University. This study was also conducted in accordance with standards acceptable within the discipline of social research and similar in nature to those accepted by the courts in the cases of New Jersey v. Soto, et. al. and Wilkens v. Maryland State Police. The
Yavapai County Violator Study was carried out under
my direction during the dates of Wednesday,
April 3 through Tuesday, April 9, 2002 (see Appendix
A). During this one-week period, I randomly selected 14 four hour time periods
between 6:00 am and 6:00 pm. During each shift, a mini-van carrying a three-person
observation team, drove at the speed limit starting from Flagstaff and proceeded
South on I-17 to Exit 242 (Rock Springs). Observation teams began recording
information once inside the Yavapai County border (MP 311). At Exit 242,
the observation car turned around and traveled North
back to Flagstaff. The observation
car drove approximately 200 miles during each four-hour shift, 138 miles
within Yavapai County. The results of the survey indicate that 1583 cars were observed within Yavapai County during the 112 hour study. One-half of these cars (785) were observed to be violating at least one Arizona motor vehicle law. Among
the violator population, 86 percent of drivers were
identified as
being White, non-Hispanic (84.3%) or Probably White,
non-Hispanic (1.7%). Thirteen
percent of motor vehicle law violators were identified as being of a racial
or ethnic minority group (1.1% African American, 2.8% American Indian, 5.7%
Hispanic, 0.6% Asian, and 2.9% Probable Minority) (see Table 2). The final step is
to compare the racial and ethnic composition of known
cases to the racial and ethnic composition of the potential
violator population. White motorists are
60 percent less likely to be stopped by a DPS Officer
relative to their known representation within the violator
population. African American motorists are 3,693 percent
more likely to be stopped relative to their representation
within the violator population. Hispanic motorists
are 62 percent more likely to be stopped relative to
their representation within the violator population. |
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