URBANA POLICE DEPARTMENT: 2017 TRAFFIC STOP UPDATE URBANA POLICE DEPARTMENT CRIME ANALYSIS PRESENTERS: Melissa Haynes Crime Analyst, Sylvia Morgan Chief,
Traffic Stop Task Force Recommendations Update Completed Recommendations 1.1 Traffic stop category (motivation for stop) 1.2 Ongoing police implicit bias training 1.3 Traffic stop training 2.1 Hire crime analyst 2.2 Open data portal 2.3 City Council review traffic stop data bi-annually 2.4 Analysis of arrests from traffic stops 3.1 Examine disparity in outcomes from traffic stops 4.1 Cops Corner educational video (13:40 18:00) 4.2 Walk as One 4.4 Encourage participation in ride-alongs and Citizen Police Academy TRAFFIC STOP DATA OVERVIEW http://www.urbanaillinois.us/sites/default/files/attachments/task-force-final-report-vol-i-main-report-ver151222_1.pdf 2
Traffic Stop Task Force Recommendations Update Other Progress Reduced Urbana City Code fines for possession of cannabis and paraphernalia Extended the length of time available to pay minimum fines in Section 1-18 of City Code, from 14 days to 60 days Random supervisory review of traffic stop videos Addition of Beyond Scope checkbox TRAFFIC STOP DATA OVERVIEW Community Outreach Specialist Collaboration with CU Fresh Start 3
Traffic Stop Data Overview Overview of statistical methods Quarterly dashboard Number of stops Reason and motivation Disparity ratio Outcomes Maps TRAFFIC STOP DATA OVERVIEW 4
Measures of Dispersion Range Variance Standard Deviation z-score Normal Curve Normalized standard deviation 5MEASURES OF DISPERSION
Number of Traffic Stops 2000 1800 1600 1400 1200 1000 z = -1.35 NUMBER OF TRAFFIC STOPS 800 600 400 200 0 1871 1601 Q1 & Q2 5-year Average Q1 & Q2 2017 6
STEP Traffic Stops 100% 90% 80% 70% Not STEP STEP TRAFFIC STOPS 60% STEP 50% 40% 30% 20% 70.49% 29.51% 58.21% 41.79% z = 1.04 10% 0% Q1 & Q2 5-year Average Q1 & Q2 2017 7
Reason for Stop 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% Moving Violation z = 0.32 Equipment Violation z = -0.03 License/ Registration Violation z = -0.50 REASON FOR STOP 30.00% 20.00% 10.00% 0.00% 70.89% 20.17% 8.95% 72.01% 20.10% 8.14% Q1 & Q2 5-year Average Q1 & Q2 2017 8
Motivation for Stop 100.00% 90.00% 80.00% 70.00% Traffic Issue 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% 71.55% 23.49% 4.95% 79.46% 19.10% 1.69% Q1 & Q2 2016 Q1 & Q2 2017 Community Caretaking Targeted Patrol 9MOTIVATION FOR STOP
Disparity Ratios Defined % of Drivers Stopped, By Race DISPARITY RATIOS % of Drivers on Street, By Race 10
Disparity Ratios, as Reported by IDOT 2.5 2 DISPARITY RATIOS 1.5 1 Minority Drivers 0.5 0 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016YTD 2017 11
Traffic Stops by Race 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% Caucasian African American Asian Hispanic Accidents by Race 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% Caucasian African American Asian Hispanic RACE OF DRIVERS OF STOPS AND ACCIDENTS 20.00% 20.00% 10.00% 10.00% 0.00% 2012 2013 2014 2015 2016 0.00% 2013 2014 2015 2016 12
Disparity Ratios 2.5 2 DISPARITY RATIOS 1.5 African American Hispanic 1 Asian Caucasian 0.5 0 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 YTD 2017 13
Disparity Ratio 2.00 1.80 1.60 African American z = -0.38 DISPARITY RATIO 1.40 1.20 Hispanic z = -0.87 1.00 0.80 0.60 Asian z = -0.84 0.40 0.20 Caucasian z = 1.32 0.00 1.65 1.08 1.00 0.82 1.62 0.96 0.94 0.86 Q1 & Q2 5-year Average Q1 & Q2 2017 14
Outcomes of Stops 100.00% 90.00% OUTCOMES 80.00% 70.00% 60.00% 50.00% Citation z = 0.64 Warning z = -0.52 More Serious z = -0.56 40.00% 30.00% 20.00% 10.00% 0.00% 52.38% 42.37% 5.25% 55.92% 39.57% 4.51% Q1 & Q2 5-year Average Q1 & Q2 2017 15
Disparity Ratio of Outcomes Citation Asian 9.29% (83) African American 29.68% (265) Hispanic 4.37% (39) Caucasian 56.55% (505) Warning 10.76% (68) 27.22% (172) 2.85% (18) 58.86% (372) More Serious 2.78% (2) 55.56% (40) 2.78% (2) 38.89% (28) All Stops 9.58% (153) 29.87% (477) 3.69% (59) 56.67% (905) OUTCOMES Citation Warning Only More Serious 2012-2016 2017 z-score 2012-2016 2017 z-score 2012-2016 2017 z-score Asian 1.02 0.97-0.63 1.09 1.12 0.46 African American 0.92 0.99 6.53 0.99 0.91-2.66 1.90 1.86-0.53 Hispanic 1.11 1.18 0.54 0.71 0.77 0.99 Caucasian 1.03 1.00-4.59 1.02 1.04 0.79 0.56 0.69 1.34 16
Disparity Ratio, 2015-2017 Race All STEP Non-STEP African American 1.57 1.34 1.69 Asian 1.04 0.72 1.20 Caucasian 0.85 0.96 0.79 Hispanic 1.15 1.13 1.16 Number of Stops 8575 2904 5671 DISPARITY RATIOS 17
All Traffic Stops: 2015-2017 MAPS OF TRAFFIC STOPS 18
Density of All Traffic Stops: 2015-2017 MAPS OF TRAFFIC STOPS 19
Density of Traffic Stops by Race, 2015-2017 African American Drivers Caucasian Drivers MAPS OF TRAFFIC STOPS 20
Density of Non-STEP Traffic Stops, 2015-2017 MAPS OF TRAFFIC STOPS 21
Density of Non-STEP Traffic Stops by Race, 2015-2017 African American Drivers Caucasian Drivers MAPS OF TRAFFIC STOPS 22
Density of Citizen-Initiated Calls for Service, 2015-2017 MAPS OF TRAFFIC STOPS 23
Density of Citizen-Initiated Calls for Service and Census Percent African American, 2015-2017 MAPS OF TRAFFIC STOPS 24
Density of Citizen-Initiated Calls for Service and Non-STEP Traffic Stops, 2015-2017 MAPS OF TRAFFIC STOPS 25
Density of Citizen-Initiated Calls for Service and Non-STEP Traffic Stops by Race, 2015-2017 African American Drivers Caucasian Drivers MAPS OF TRAFFIC STOPS 26
Summary 2017 YTD Fewer traffic stops Higher percentage of STEP traffic stops No meaningful change in motivation for stop, reason for stop No meaningful change in disparity ratio for stop Fluctuations in disparity ratio for outcomes, but remain close to 1.00 SUMMARY 2015 2017, spatially High concentration of traffic stops on thoroughfares Non-STEP stops are more broadly distributed Non-STEP African American stops are more broadly distributed Higher concentration in areas with more calls for service Concentration of calls for service in Census tracts with higher percentage of the population that is African American 27
Next Steps Urbana Police Follow-up meetings with council members, if requested Mayor Solicit recommendations from city council and staff for any further changes in city practices/policies to reduce racial disparities related to traffic stops NEXT STEPS Scheduling neighborhood meetings with African-American community in September and October Report back to City Council with recommendations and feedback 28
URBANA POLICE DEPARTMENT: 2017 TRAFFIC STOP UPDATE URBANA POLICE DEPARTMENT CRIME ANALYSIS EMAIL QUESTIONS MAY BE DIRECTED TO: Melissa Haynes, Crime Analyst at crimeanalysis@urbanaillinios.us