1. Use of Statistical Data to Inform DMC Efforts Capt. Kevin Mayhew Tucson Police Department September 9, 2006

2. Area Demographics 2000 Census Tucson –486,699 (540,365) –229 sq. mi. –Hispanic (35.7%) –African Am. (4.1%) –Am. Indian (1.6%) –Asian (2.4%) –White (54.2%) –Pacific Is. (0.1%) –Other (0.2%) –2 or more (1.8%) Pima County –843,746 (981,110) –9,184 sq. mi. –Hispanic (29.3%) –African Am. (2.9%) –Am. Indian (2.6%) –Asian (2.4%) –White (61.5%) –Pacific Is. (0.1%) –Other (0.1%) –2 or more (1.6%)

3. Pima County Youth Population 2005 Estimate Youth Aged 8-17 Hispanic 55,456 44% African Am. 4,386 3% Native Am. 4,570 4% Asian/PI 2,101 2% Anglo 56,621 45% Other 2,813 2%

4. Why Use Data Driven Decision- making? Guards against the “silo effect” Decreases the potential for blaming Removes the issue of Reality vs. Myth Helps manage unintended consequences Objective when structured and interpreted honestly Measures how the efforts are proceeding Good data equals good, supportable decisions

5. First Step Obtain support from the CEO Tucson Police Department Experience –Discussion with Presiding Judge at the Pima County Juvenile Court Center –Support of Assistant Chief of Police –Discussion about issues with Chief of Police –COP’s Letter of Support –COP’s Strategic Plan

6. Collecting and Using Data: The Pima County Experience Early efforts at TPD General arrest and referral information –By race –By gender –By location of incident –By location of arrest –By residence of offender

7. Collecting and Using Data: The Pima County Experience Refining data per the Executive Committee Identifying geographic focus areas –Overlaying information - Map building Census block groups Zip code areas Neighborhood Associations School districts Stress index information

8. Collecting and Using Data: The Pima County Experience Narrowing the focus –Suggested study area, Part 1 –Suggested study area, Part 2

9. Collecting and Using Data: The Pima County Experience Pima County Juvenile Court Center Data –General detention information –Refining detention, probation, etc. data –Building maps –Becoming the focus for statistics –The final choices

10. Summary Recognize the critical importance of law enforcement involvement Get support from the CEO Publicly acknowledge the problem Collect, analyze and use good data to ensure good, supportable decision-making Physically get law enforcement and juvenile court statisticians together

11. Summary Keep refining the data into usable forms Don’t get overwhelmed by the amount of data –Make reasonable decisions based on reasonable analyses of the data –Be flexible Commit to using data for all portions of the project

12. Questions?