Using Data to Address Racial and Ethnic Disparities in Justice. 10:30 a.m. -12:00 p.m.

Transcription

1 Using Data to Address Racial and Ethnic Disparities in Justice 10:30 a.m. -12:00 p.m.

2 ADDRESSING EQUITY IN JUSTICE SYSTEMS JULY,

3 THE W. HAYWOOD BURNS INSTITUTE (BI) 3 Our Mission The Burns Institute works to eliminate racial and ethnic disparity in the youth justice system by building a communitycentered response to youthful misbehavior that is equitable and restorative. Our Approach Facilitate community and system stakeholders through a data-driven process aimed at creating community-based alternatives to secure detention. Experience in consulting with over 100 jurisdictions in 40 states nationwide to reduce racial and ethnic disparities in the youth justice system. Trained over 10,000 judges, law enforcement, executive and probation personnel.

4 U.S. DEMOGRAPHICS 4

5 COMMON CHALLENGES TO JUSTICE REFORM WORK FOCUSED ON EQUITY This is Brand New We don t have a problem, so We have trainings about race, but We collect data about racial/ethnicity, but We ve established an equity work group, but We don t know what to do next 5

6 KEY COMPONENTS TO REDUCING RACIAL AND ETHNIC DISPARITIES 6

7 KEY LESSONS FROM YOUTH JUSTICE REDUCING RACIAL AND ETHNIC DISPARITIES: ESSENTIAL COMPONENTS Creating a Safe Space Collaborative Structure & Community voice Purpose of Detention/Pretrial Jail Leadership Data As Tool Strategic Thinking Facilitation 7

8 COLLABORATIVE STRUCTURE Identify collaborative mission and purpose Identify appropriate stakeholders Involvement of Supervisors/Line Staff Community Involvement Ensure capacity to access and analyze data Ensure capacity and will to modify policy and practices based on data 8

9 STAKEHOLDERS 9 Community voice Elected Officials/Executive Judges Police Prosecutor/Defense Pretrial Services/Probation Sheriff

10 LEADERSHIP Leadership is critical Control what you can control Declare and move forward 10

11 COMMON CHALLENGES IN DATA COLLECTION AND ANALYSIS IN JDAI SITES Data Reports Are Extensive But Do Not Highlight Race/Ethnicity Data Rich/ Analysis Poor Data Overload/Not Internalized by Decision-Makers

12 Ongoing process BI STRATEGY FOR REDUCING RACIAL AND ETHNIC DISPARITIES 1. Identify Disparities Identify whether and to what extent racial and ethnic disparities exist 2. Identify, Analyze and Strategize around a Target Population Identify target population to focus the work. Dig deeper into target population to learn more about policy, practice, and/or procedure and other factors contributing to disparities. Strategize around how policy, practice, and/or procedure change might result in reductions in disparities. Pilot or adopt policy change 3. Measure Progress Monitor Effectiveness of Policy Change Document changes in disparities 12

13 THE PIMA COUNTY STORY TO REDUCE DISPARITIES 13

14 REFORM HISTORY PIMA COUNTY September 2003-DMC Plan May 2004 Community forum June 2004-DMC executive committee established: Key community and system representation October 2004-Casey and Burns Annual goals and objective Agency self-assessment

15 Percent PERCENTAGES OF IMPACTED YOUTH RELATIVE TO GENERAL POPULATION. African American and Latino Youth are over-represented. Percent of Youth in General Pop. vs. Referred to and Detained at JH 70% 60% 50% 40% 30% 20% 10% 0% AfAm Youth API/Other Youth Latino Youth White Youth General Pop. Referred to JH Detained at JH Ethnicity

16 SNAPSHOT: PIMA COUNTY DMC AT A GLANCE QUARTER % 80% 60% 40% 20% 0% 56,544 45% , % 56, DMC at a Glance: Q , Population Paper Referrals 47% 39% % % % 75 Physical Referrals 50% 52% Admissions 53% L/M Scoring Discretionary Admissions White African American Latino Native American API/Other 24 Automatic Holds 51% 33% These data give a snapshot of disproportionality in Pima county. They indicate where we may want to dig deeper but do not give details that may help explain the disproportionality.

17 DIGGING DEEPER INTO SNAPSHOT: WHAT DO WE WANT TO TRACK TO SEE PROGRESS?

18 PIMA COUNTY REFERRALS BY GEOGRAPHY Copyright 2008 by the W. Haywood Burns Institute.

19 USES FOR DATA 19 Grant applications Reporting requirements (federal or state law) Academic studies (testing a hypothesis) To Inform and Drive Department Policy To understand your system To define and refine the problem To establish reform goals To select effective strategies To track progress 19

20 DIGGING DEEPER INTO SNAPSHOT: WHAT DO WE WANT TO TRACK TO SEE PROGRESS? Of all discretionary admissions to detention, 86% were for admissions of low and medium scoring youth. Of all low and medium scoring discretionary admissions, 70% were youth of color.

21 WHAT HAVE WE LEARNED FROM DATA There was disproportionality at every decision making point reviewed Response work with police, target alternatives, educate community Low and Medium discretionary admissions to detention are substantial (86% of all discretionary holds) Response work on probation culture and monitor closely Length of stay in detention is higher for YOC than white youth. Response--Work with tribes and establish alternatives

22 Pima County Juvenile Court Average Daily Population

23 Number Daily Detention Average by Race and Ethnicity (Numbers) (n= 162) 2003 (n= 175) 2004 (n= 171) 2005 (n= 135) 2006 (n= 127) 2007 (n= 118) 2008 (n= 95) Anglos Latinos African Americans Native Americans Asian/P.I.

24 CONTACT INFORMATION James Bell Executive Director (415) Ext. 101 Honorable Richard Elías Vice Chair, Pima County Supervisor District 5 (520) Richard.Elias@pima.gov 24