Notes
Slide Show
Outline
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Evanston Police Department
  • Traffic Stop Data Analysis
  • 2004
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Outline of
Presentation

  • Introduction


  • EPD Responses – Before and After the Law


  • Result of 2004 Traffic Stops


  • Next Steps
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"PART I"


  • PART I
  • INTRODUCTION
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Background

  • July 18, 2003 – Governor Blagojevich signs Senate Bill into law - Establishes four-year statewide study
    • To collect data on traffic stops
    • To identify racial bias
    • Began January 1, 2004


  • Illinois Department of Transportation to collect and compile data


  • Northwestern University – Center for Public Safety will conduct the analysis: First Report is due July 2005
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Public Act 93-0209

  • Requires the following data collection
    • All traffic stops where a citation is issued


    • All traffic stops where a warning citation is issued


    • All traffic stops for an alleged violation of the Illinois Motor Vehicle Code


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INFORMATION
REQUIRED

  • Name, address, gender and officer’s subjective determination of race;


  • Alleged traffic violation leading to the stop;


  • Make and year of the vehicle;


  • Date and time of the stop;


  • Location of the stop;


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INFORMATION
REQUIRED

  • Whether there was a search of:
    • The vehicle
    • The driver
    • The passenger(s)
    • The basis for each search (i.e. consent or
    • otherwise)
    • Name and badge number of the issuing officer


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DETERMINATION
OF RACE

  • Officer must determine race from the following alternatives:
    • Caucasian
    • African-American
    • Hispanic
    • Native American/Alaska Native
    • Asian/Pacific Islander
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COLLECTION
FORMAT

  • Data must be compiled on a Standardized Form.


  • EPD developed own Form.


  • Data sent to Illinois Department of Transportation


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DATA FORM
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QUESTIONS

  • To what extent, if any, does a driver’s race influence an officer’s decision to stop a vehicle for a traffic violation?


  • To what extent, if any, does race influence what happens after the stop?


    • Does race influence disposition?
    • Does race influence the decision to search the vehicle and/or the driver?
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"PART II
EPD RESPONSE"
    • PART II
      EPD RESPONSE
    • Prior to January 1, 2004
    • After January 1, 2004


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COMMUNITY
 OUTREACH

  • Evanston Police Department developed a presentation on the new law.  This presentation reviewed the law and discussed the issues


  • The purpose of these presentations was to give the community an overview of the law and what to expect


  • Presentation was, and is, available on website and library


  • Presentation was made to numerous groups, e.g., Evanston Citizen Police Association, Human Relations Commission


  • Highlights articles – Winter 2003
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QUESTIONS RAISED
DURING
PRESENTATIONS

  • Will traffic stops take longer?


  • What will be done with the collected information?  Who gets it?


  • How can race be determined?


  • Why isn’t race compatible with census categories.
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DEPARTMENT
INITIATIVES

  • Policy on bias based profiling in place January 7, 2002.  Implemented before a law.  General Order 1.16, Policy states:
    • Profiling based solely on a common group trait is strictly prohibited.  Members of the Evanston Police Department will respect and protect all legal and civil rights of all persons with whom they come in contact.
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DEPARTMENT
INITIATIVES

  • Policy on conducting traffic stops – General Order 14.6


  • Policy on complaints – General Order 4.1


  • Policy on Mobile Video Recorders – General Order 14.23
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DEPARTMENT
INITIATIVES

  • Worked with police officers, unions, supervisors to develop policy and procedures regarding the law.


  • Pilot tested a data collection form in October, November, and December of 2003


  • Developed and implemented Special Order 03-73 – Data Collection Policy & Procedure
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DEPARTMENT
INITIATIVES

  • Conducted In-Service training to officers and supervisors during October and November, 2003


  • Hired additional Records personnel to perform data entry


  • Data Collection Form – Police officers recommended to collect additional data


  • Evanston Police Department established a system to do our own analysis of data


  • Supervisors rode with police officers to monitor traffic stop process.
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DEPARTMENT
INITIATIVES

  • Participated in a statewide committee on this issue. e.g. Illinois Association of Chiefs of Police, Illinois Training Board, Institute for Public Safety Partnership, Fraternal Order of Police, etc.


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"After January 1"


  • After January 1, 2004


  • What have we done after implementation of the law?
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After
January 1, 2004

  • Supervisors spot-check CADS records with Data Collection Forms


  • Supervisors monitor stops


  • 2004 – Office of Professional Standards monitors complaints – one complaint filed


  • Monitor data and submit data to IDOT
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"Joined with the Institute for..."

  • Joined with the Institute for Public Safety Partnership (IPSP) to conduct an additional analysis.
    • Based out of the University of Illinois – Chicago
    • Only eleven communities involved
    • Evanston Police Department data was used as a sample agency for other departments.


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"Conducted traffic flow studies with..."

  • Conducted traffic flow studies with Seat Belt Enforcement and Roadside Safety Checks to identify Evanston’s driver population.




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"October 2004 issued a nine-month..."

  • October 2004 issued a nine-month report to all personnel regarding their personal stop data


  • Staff attended numerous seminars on collection efforts, e.g. Illinois Association of Chief’s of Police, Northwestern Center for Public Safety, Northwest Police Academy, Illinois Department of Transportation
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"PART III
RESULTS OF DATA..."

  • PART III
    RESULTS OF DATA
    COLLECTION FOR 2004
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"Evanston Police Department commitment to..."

  • Evanston Police Department commitment to community to distribute and discuss first year’s results



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"Northwestern University Center for Public..."

  • Northwestern University Center for Public Safety Analysis
    • What will the Report Look Like?
    • Report will:
      • Identify the ratio of traffic stops between Caucasian vs. minority drivers in each jurisdiction


      • Compare the ratio to an established benchmark


      • Compare the outcome of the stop for Caucasians vs. minority drivers


      • Compare consent search for Caucasian vs. minority drivers

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BENCHMARKS

  • Help us understand the demographics of the driving population


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BENCHMARKS
  • Established benchmarks for each jurisdiction
    • Included persons 15 years and older
    • Two levels – community and county
    • In Cook County – use court district
    • For communities that border – both may be used
    • For example, we know Chicago counts at least
    •     1/3 of our traffic stops.

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"Three non-benchmarked items"

  • Three non-benchmarked items: reason, disposition, search by caucasian/minority
    • Focus on consent searches

  • Adjusted census benchmark based on community, county or judicial district (Cook County)


  • NUCPS will indicate where differences exist.  NUCPS will not claim that these differences indicate the presence of racial profiling.  The presence of a difference does not indicate racial profiling.


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ANALYSIS

  • One statewide analysis and an analysis of every participating agency


  • No individual officer level analysis


  • Modeled largely on other statewide systems, particularly Missouri


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"EVANSTON"


  • EVANSTON
  • DATA - 2004
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"Evanston Police Department Traffic Stops..."
  • Evanston Police Department Traffic Stops - 2004


    • Caucasian 51.8%
    • Minority 48.2%
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"NUCPS Benchmark"
  • NUCPS Benchmark*
    • Caucasian 52.5%
    • Minority 47.5%





    • Note:  Original benchmark issued was modified since Evanston is a border community to the City of Chicago.  After a review of the initial data, it was determined that the driving population from Chicago should be included in the benchmark.
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"Comparison"

  • Comparison


  • EPD NUCPS Benchmark
  • Caucasian 51.8 52.5
  • Minority 48.2 47.5
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"The ratio between stops by..."
  • The ratio between stops by the Evanston Police Department and the NUCPS’ Benchmark is 1 to 1.
  • The likelihood of minority drivers being stopped is equal to their presence in the driving population.
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EPD vs. Cook
County Benchmark
  • Cook County EPD Benchmark_
    • Caucasian 51.8% 52.2%
    • Minority 48.2% 47.8%


    • The ratio between stops by EPD and the Cook County Benchmark is 1 to 1.
    • The likelihood of minority drivers being stopped is equal to their presence in the driving population.
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Reason for Stop
    • Caucasian Minority
    • Moving Violation 76.1% 65.0%


    • Equipment   7.6% 15.8%


    • License/Registration 16.3% 19.2%

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Outcome of Stop
  • Caucasian Minority
    • Citation 75.9% 72.9%


    • Written Warning 20.1% 22.7%


    • Verbal Warning   4.0%   4.4%




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Consent
Searches
  • Stops Consent
  • Searches


  • Caucasian 6,238 17
  • 0.3%


  • Minority 5,801 59
  • 1.0%


  • Total 12,039 76
  • 0.6%


  • Consent searches are exceptionally low!  Out of 12,039 Stops only 76 occur.  This is not a significant number.
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CONCLUSION

    • Very little difference between Benchmarks and  stops – Ratio equals 1.


    • What does this mean?
      • Evanston Police Department stops reflects the driving population in Evanston.


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ADDITIONAL
ANALYSIS


    • Evanston Police Department collected more data.
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BEATS VS. STOPS
  • Stops by Beat


  • Beat 71 13.5%
  • Beat 72 15.8%
  • Beat 73 18.5%
  • Beat 74 12.0%
  • Beat 75   9.7%
  • Beat 76   9.8%
  • Beat 77 10.5%
  • Beat 78 10.1%


  • Total 100.0%
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STOPS BY
RESIDENCE
  • Stops by Residence


  • Evanston 36.5%
  • Chicago 31.9%
  • Wilmette   2.5%
  • Skokie   5.2%
  • Other 23.9%
  •         100.0%


  • Evanston is a place of destination!
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OFFICER
ACTIVITY
    • Routine Patrol 74.4%
    • Radar 15.5%
    • High Accident Location   0.3%
    • Assignment from Dispatch   0.2%
    • Police Activity Planning Bulletin   1.0%
    • Department Mission/Tactical Plan   0.1%
    • Special Watch Bulletin     0.1%
    • Special Traffic Enforcement   8.2%
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"PART IV"

  • PART IV
  • NEXT STEPS
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"Review each Police Officer’s personal..."

  • Review each Police Officer’s personal data


  • Continue to analyze data


  • Review Consent Searches


  • Define Officer Activity