Clark County WA Jail Population Projections and Policy Recommendations

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"Explore the methodology behind Clark County WA's jail population projections, historical data trends, and assumptions for future growth rates. Learn about the analysis and policy levers provided by Justice System Partners to inform decision-making. Dive into factors affecting jail populations and potential policy adjustments."

  • Clark County
  • Jail population
  • Policy recommendations
  • Justice system
  • Projections

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  1. Clark County , WA Jail Bed Projections and Policy Levers April 16, 2019 Michael Wilson Zach Dal Pra

  2. Scope of JSPs Work Phase 1: Straight line projections of Clark County s jail population from 2020 to 2050 using historical summary data. Phase 2: Analyze individual level data to provide policy levers that can be incorporated into the baseline projections. Justice System Partners was contracted to provide jail population projections and policy lever adjustments. These projections are based on data provided by the county. Projections for classification, peaking and maintenance are the work of Clark County.

  3. Jail Projections Methodology Jail population is determined by two factors: the number of bookings and the average length of stay Projection model relies on three growth factors The annualized growth rate in length of stay The annualized growth rate in the booking rate (bookings divided by county at-risk population) Future growth in the county s at-risk population

  4. Historical Summary Jail Data Over the past 10 years the average daily population has fallen from 714 in 2009 to 644 in 2018, a decline of nearly 10%. The average length of stay has increased at an annualized rate of 2.34%. The booking rate (bookings per at-risk population) declined at an annualized rate of 3.24%. 4

  5. Historical Booking and LOS Data Historical Booking and LOS Data Bookings LOS 2000 25.0 1800 1600 20.0 1400 1200 15.0 1000 800 10.0 600 400 5.0 200 0 0.0 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jan-09 Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15 Jan-16 Jan-17 Jan-18 Jul-09 Jul-10 Jul-11 Jul-12 Jul-13 Jul-14 Jul-15 Jul-16 Jul-17 Jul-18 Jul-09 Jul-10 Jul-11 Jul-12 Jul-13 Jul-14 Jul-15 Jul-16 Jul-17 Jul-18 5

  6. Assumptions for 10 Year Projections Assumptions for 10 Year Projections Used Clark County historical data to estimate the 10 year growth rate for LOS. Annualized growth of 2.34% Used Clark County historical data to estimate the 10 year growth rate for the booking rate (bookings divided by the at- risk population). Annualized growth rate of -3.24% Used the 2020 to 2030 at risk population growth estimated by the Washington Office of Fiscal Management. Annualized growth rate of 1.28% 6

  7. Assumptions for Projections for Years 10 to 30 Assumptions for Projections for Years 10 to 30 Assumed the growth rate for the booking rate and LOS was flat. Assumed the at risk-population grew at 0.31% from 2030 to 2040. Based on OFM data Assumed the at risk-population grew at 0.32% from 2040 to 2050. Based on OFM data 7

  8. Thirty Year Jail Projections Thirty Year Jail Projections Actual Population Projected Population 900 800 690 700 600 615 630 500 400 300 200 100 0 10/1/2009 10/1/2012 10/1/2015 10/1/2018 10/1/2021 10/1/2024 10/1/2027 10/1/2030 10/1/2033 10/1/2036 10/1/2039 10/1/2042 10/1/2045 10/1/2048 1/1/2009 7/1/2010 4/1/2011 1/1/2012 7/1/2013 4/1/2014 1/1/2015 7/1/2016 4/1/2017 1/1/2018 7/1/2019 4/1/2020 1/1/2021 7/1/2022 4/1/2023 1/1/2024 7/1/2025 4/1/2026 1/1/2027 7/1/2028 4/1/2029 1/1/2030 7/1/2031 4/1/2032 1/1/2033 7/1/2034 4/1/2035 1/1/2036 7/1/2037 4/1/2038 1/1/2039 7/1/2040 4/1/2041 1/1/2042 7/1/2043 4/1/2044 1/1/2045 7/1/2046 4/1/2047 1/1/2048 8 7/1/2049

  9. Projections by Gender Projections by Gender Historical booking and LOS data was not broken out by gender. Adjusted booking rate growth factor based on overall growth of female jail population. Relied on OFM population projection data by gender. 9

  10. Thirty Year Jail Projections by Gender Thirty Year Jail Projections by Gender Female Historical Population and Projections Male Historical Population and Projections Actual Population (Female) Projected Population (Female) Actual Population (Male) Projected Population (Male) 160 800 140 700 120 600 100 500 80 400 60 300 40 200 20 100 0 0 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 2042 2044 2046 2048 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 2028 2030 2032 2034 2036 2038 2040 2042 2044 2046 2048 10

  11. Projections Summary Projections Summary The increase in projected jail population is driven by OFM projections in Clark County s at-risk (20-39 year old) population growth. The OFM projections show a substantial increase in the at- risk population from 2020-2030. The historical booking rate has declined. The historical average LOS has increased, but not as rapidly as the booking rate decline. 11

  12. Preliminary Results With No Policy Levers Preliminary Results With No Policy Levers Jail Needs (Low) Jail Needs (Low) JSP Baseline Projection to 2050 Clark Co Adjustment Estimates Peaking and Classification Adjustment (15%) +104 Maintenance Factor Adjustment 690 +30 Total Bed Need without Policy levers 824 Peaking, classification, and maintenance housing needs estimated by Clark County. 12

  13. Preliminary Results With No Policy Levers Preliminary Results With No Policy Levers Jail Needs (High) Jail Needs (High) JSP Baseline Projection to 2050 Clark Co Adjustment Estimates Peaking and Classification Adjustment (20%) +138 Maintenance Factor Adjustment 690 +50 Total Bed Need without Policy levers 878 Peaking, classification, and maintenance housing needs estimated by Clark County. 13

  14. Sub Sub- -Committee Identified Policy Levers Committee Identified Policy Levers 1. Increase the number of book and holds for defendants with multiple warrants and certain offenses. 2. Implement a pretrial risk assessment tool and reduce the length of stay for certain defendants. 3. Reduce the time for competency restoration. 4. Eliminate jail use for non-Clark County Department of Corrections violators. 14

  15. Policy Lever Policy Lever Book and Hold Book and Hold Used court data to determine the number of defendants with multiple warrants and an Assault IV, DUI or DWLS 1st degree (349 in 2018) Used court data to determine the number of defendants with four or more warrants and a Theft III or DWLS 3rd degree (695 in 2018) Assumed these would be booked into jail and would have the same length of stay as similar individuals currently have (8.9 days) 15

  16. Book and Hold Policy Lever Estimate Book and Hold Policy Lever Estimate (Increase of 27 beds by 2050) (Increase of 27 beds by 2050) Female Male 25 22 20 15 Beds 10 5 5 0 10/1/2020 10/1/2023 10/1/2026 10/1/2029 10/1/2032 10/1/2035 10/1/2038 10/1/2041 10/1/2044 10/1/2047 1/1/2020 7/1/2021 4/1/2022 1/1/2023 7/1/2024 4/1/2025 1/1/2026 7/1/2027 4/1/2028 1/1/2029 7/1/2030 4/1/2031 1/1/2032 7/1/2033 4/1/2034 1/1/2035 7/1/2036 4/1/2037 1/1/2038 7/1/2039 4/1/2040 1/1/2041 7/1/2042 4/1/2043 1/1/2044 7/1/2045 4/1/2046 1/1/2047 7/1/2048 4/1/2049 16

  17. Policy Lever Policy Lever Pretrial Risk Assessment Pretrial Risk Assessment Used jail data to estimate the number of pretrial releases in 2018 1,994 misdemeanors staying 2.7 days and 1,419 felonies staying 10.2 days Based on analysis in other jurisdictions we assumed 40% of defendants would be low risk and 45 % would be high risk Estimated the impact of reducing the LOS to one day: All low risk defendants Both moderate and low risk defendants 17

  18. Policy Lever Policy Lever Focused on Low Risk Focused on Low Risk Low risk potential reduction of 19 beds. Moderate risk potential reduction of additional 23 beds. Subcommittee decided to use the low risk policy lever. Reduction in moderate risk beds is encouraged but requires county commitment of operations funds to increase supervision staff, which is outside of the scope analysis. 18

  19. Pretrial Risk Policy Lever Estimate Pretrial Risk Policy Lever Estimate (Reduction of 19 Jail Beds by 2050) (Reduction of 19 Jail Beds by 2050) Female Low Risk Male Low Risk 0 -2 -4 -5 -6 Beds -8 -10 -12 -14 -14 -16 1/1/2020 9/1/2020 5/1/2021 1/1/2022 9/1/2022 5/1/2023 1/1/2024 9/1/2024 5/1/2025 1/1/2026 9/1/2026 5/1/2027 1/1/2028 9/1/2028 5/1/2029 1/1/2030 9/1/2030 5/1/2031 1/1/2032 9/1/2032 5/1/2033 1/1/2034 9/1/2034 5/1/2035 1/1/2036 9/1/2036 5/1/2037 1/1/2038 9/1/2038 5/1/2039 1/1/2040 9/1/2040 5/1/2041 1/1/2042 9/1/2042 5/1/2043 1/1/2044 9/1/2044 5/1/2045 1/1/2046 9/1/2046 5/1/2047 1/1/2048 9/1/2048 5/1/2049 19

  20. Sub Sub- -Committee s Additional Data Request Committee s Additional Data Request Initial policy lever analysis and sub-committee discussion resulted in the need to adjust two policy levers (competency restoration and DOC) and extract additional data. Analysis underway. Placeholder data included in this presentation. 20

  21. Policy Lever Policy Lever Competency Restoration Competency Restoration Following sub-committee discussion of preliminary policy impact: Need data on the number of defendants released in 2018 who were ordered to undergo competency restoration. Need data on the average length of stay (LOS) prior to restoration order. Need data on the average length of stay (LOS) to transfer to state restoration program. 21

  22. Policy Lever Policy Lever Eliminate Jail Use for Non Eliminate Jail Use for Non- -Clark County DOC Violations County DOC Violations Clark Following sub-committee discussion of preliminary policy impact: Need jail release data of the number of non-Clark County origin DOC violations in 2018. Need LOS for data for non-Clark County origin DOC violations in 2018. 22

  23. Policy Levers Policy Levers - - Summary Summary 1. Increase the use of book and hold estimated to increase the female population by 5 and the male population by 22. 2. Pretrial Risk a. Assuming low risk defendants will be released in 1 day reduces the female population by 5 beds and the male population by 14 beds. 23

  24. Policy Levers Policy Levers Summary Cont. Summary Cont. 3. Reduce the time for competency restoration. a. Need additional data to analyze. Place holder of -25 in this presentation. 4. Eliminate jail use for non-Clark County Department of Corrections violators. a. Need additional data to analyze. Placeholder of -11 in this presentation. Expect data by May 14, 2019 CFAC meeting. 24

  25. Projections Range with Policy Levers Projections Range with Policy Levers Including Clark County Estimates Including Clark County Estimates preliminary as of April 11, 2019 preliminary as of April 11, 2019 Primary Need LOW END Primary Need HIGH END Straight-line (JSP) 690 Straight-line (JSP) 690 Peaking and Class. (County) 15% (104) 794 Peaking and Class. (County) 20% (138) 828 Maintenance beds (County) +30 824 Maintenance beds (County) +50 878 Policy Levers Policy Levers Book and Hold (JSP) +27 851 Book and Hold (JSP) +27 905 Competency (County) -25 826 Competency (County) -25 880 Pretrial Low Risk (JSP) -19 807 Pretrial Low Risk (JSP) -19 861 DOC (County) -11 796 DOC (County) -11 850 Total 796 Total 850 25

  26. Subcommittee Recommendation to CFAC Subcommittee Recommendation to CFAC Proceed with scenario evaluation using a bed need range of 796 to 850 for the year 2050. Refine the bed need range when analysis of DOC and competency restoration data becomes available in May. Suggest a reduction of 22 beds in 2050 in the final CFAC report with the caveat achievement of this bed reduction requires investment in pre-trial supervision staff. 26

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