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Area Demographics 2000 Census

Explore the importance of using statistical data to inform decision-making efforts in the context of the Tucson Police Department and Pima County, focusing on demographic data and its impact on juvenile justice initiatives. Learn how data-driven decision-making can enhance operational strategies and minimize potential challenges. Discover practical steps for collecting, analyzing, and utilizing statistical data to achieve meaningful outcomes in law enforcement and juvenile justice systems.

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Area Demographics 2000 Census

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  1. Use of Statistical Data to Inform DMC EffortsCapt. Kevin MayhewTucson Police DepartmentSeptember 9, 2006

  2. 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%) Area Demographics2000 Census

  3. Pima County Youth Population2005 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?

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