Palm Beach County Jail Population Forecast: 2003 to 2015 March 25, 2003

Palm Beach County Jail Population Forecast: 2003 to 2015 Prepared for the Palm Beach County Criminal Justice Commission March 25, 2003 By William D. Bales, Ph.D. Justice Research and Analysis Services (JRAS) 1801 Marston Place Tallahassee, Florida 32308 (850) 422-1703 e-mail: WDBales@aol.com

Special Thanks to the following for their contributions to this report Edward Bieluch, Sheriff, Palm Beach County Colonel George Ottmer, Director of Corrections, Palm Beach County Sheriff's Office Captain Chris Kneisley, Inmate Management, Palm Beach County Sheriff s Office Palm Beach County Criminal Justice Commission CORRECTIONS TASK FORCE/ PUBLIC SAFETY COORDINATING COUNCIL MEMBERS Douglas Duncan, Esquire, Chairman Honorable Nelson E. Bailey, 15 th Judicial Circuit Robert Bozzone, Comprehensive Alcoholism Rehabilitation Program Honorable Jack Cook, 15 th Judicial Circuit Karen Fagan, Chief Assistant Public Defender Ted Booras, State Attorney s Office Valerie Rolle, Correctional Probation Deputy Administrator, Department of Corrections Kenneth Montgomery, Executive Director, Workforce Alliance Commissioner Warren Newell, PBC Board of County Commissioners Colonel George Ottmer, Palm Beach County Sheriff's Office Linda Rondone, Director, Criminal Court Services Alton Taylor, Drug Abuse Foundation of PBC Charlie Trotta, Manager, PBC Pretrial Services Agency Brian Harper, PRIDE Integrated Services, Inc.

Table of Contents Executive Summary...1 Introduction...2 Section 1: HISTORICAL JAIL POPULATION TRENDS AND ACCURACY OF CURRENT JAIL FORECAST.....3 Page Trends in Palm Beach County Jail Population...4 Table 1: Average Annual Daily Jail Population: 1988 to 2002...4 Chart 1: Average Annual Daily Palm Beach County Jail Population: 1988 to 2002...4 Table 2: Average Daily Jail Population by Month: January 1987 to April 2003...5-6 Comparison of 2001 Jail Forecast and Actual 2001 and 2002 Jail Population...7 Table 3: Comparison of Actual 2001 and 2002 Jail ADP and Forecasts From August 2001 Report.. 8 Section 2: JAIL FORECASTING METHODS AND RESULTS.2 Demographic and Time Series Modeling Techniques, Results...10 Results of Methods and Best Forecasting Model..11 Table 4: Forecast of Annual Average Daily Jail Population... 12 Table 5: Forecast of Highest Daily Jail Population... 13 Chart 2: Final Palm Beach County Average Annual Daily and Highest Daily Jail Forecast: 2003 to 2015.....14 Jail Forecast Versus General, Current and Future Capacities..15 Table 6: Average Daily Populations from 2003 to 2015.........16 Table 7: Highest Daily Populations from 2003 to 2015.........17 Chart 3: Projected Palm Beach County Jail Population Versus General, Current and Future Jail Capacity.....18 Section 3: CRIMINAL JUSTICE TRENDS IN PALM BEACH COUNTY.... 19 Summary of Trends and Characteristics of PBC Jail Population.....20 Table 8: Inmates in the PBC Jail in December 2002 by Demographic Categories.....21 Table 9: Average Days Served in Palm Beach County Jail for Inmates Released From January 2001 to December 2002...... 22 Table 10: Gender and Offense Types of Inmates in the PBC Jail: 1998 to 2002.....23 Chart 4: Offense Types of Inmates in the PBC Jail in the Year 2002......23 Table 11: Status of Inmates in the PBC Jail: 1998 to 2002... 24 Chart 5: Status of Inmates in the PBC Jail in the Year 2002... 24

Executive Summary The Palm Beach County Criminal Justice Commission contracted with Justice Research and Analysis Services (JRAS) to update the existing Palm Beach County jail forecast based on the latest demographic data from the 2000 Census, in an effort to predict as accurately as possible the number of inmates the Palm Beach County jail will need to accommodate for the period of 2003 to 2015. The last forecasting report was published in August 2001 and used two types of forecasting methods, one based on the demographics of the resident population in Palm Beach County and one using an econometric time series method. A comparison of the actual and forecasted jail populations shows that the average of the three models was accurate, especially for 2002. While the time series model #2 did track the actual jail population better than the forecast adopted, it is recommended that the average methodology be used for this updated forecast because research indicates that time series models typically are best suited for short-term forecasting. The new forecast results in a slight reduction in future jail populations from the forecast in the August 2001 report. The average of the three forecasts predicts that the average daily population will increase from the actual level of 2,475 in 2002 to 3,157 in 2015. The highest daily population is expected to reach a level of 3,419 in 2015. Based on the updated jail forecast produced for this report, the earliest any of the three types of jail capacities will be exceeded is in 2010 to accommodate the average daily jail population. However, the projected highest jail population on a given day during the year will exceed general jail capacity in 2006. It is important that the Palm Beach County Criminal Justice Commission monitor the accuracy of this updated jail forecast each year in the future and determine if any adjustments are required. 1

Introduction The Palm Beach County Criminal Justice Commission contracted with Justice Research and Analysis Services (JRAS) to update the existing Palm Beach County jail forecast based on the latest demographic data from the 2000 Census, in an effort to predict as accurately as possible the number of inmates the Palm Beach County jail will need to accommodate for the period of 2003 to 2015. This report documents the latest trends in the jail population since the last jail report in August 2001 and examines the level of accuracy of the jail forecast in the previous report. Also discussed are the types of analysis and statistical modeling used to generate a new jail population forecast through 2015. Finally, the new jail population forecast is presented, along with comparisons between the future jail populations and the current capacity of the jail. This will inform policy makers when new prison beds will need to be built and will help them determine the level of funding required to operate future jail populations. This report is divided into three sections: 1. Historical Trends in the Palm Beach County jail population from 1988 to 2002, including a comparison of the jail forecast conducted in 2001 and the actual jail population in 2001 and 2002 2. Jail Forecasting Methods and Results 3. Criminal Justice Trends in Palm Beach County 2

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Trends in the Palm Beach County Jail Population: 1988 through 2002 Table 1 and Chart 1 below show the changes in the annual average daily PBC jail population from 1988 to 2002. The population remained relatively stable from 1988 to 1993, ranging between 1,602 and 1,695. The jail population experienced significantly growth from 1,646 in 1993 to 2,587 in 1999. From 1999 to 2001, the population decreased by 156 inmates (2,587 to 2,431). This was followed by an increase in 2002 of 44 inmates to a population of 2,475. Table 2 shows that the jail population ended at a level of 2,439 in April 2003. Table 1 Average Annual Daily Jail Population: 1988 to 2002 Average Change in Year Annual Daily Jail Annual Population (ADP) Jail ADP 1988 1,602 1989 1,695 93 1990 1,647-48 1991 1,616-31 1992 1,671 55 1993 1,646-25 1994 1,743 97 1995 2,095 352 1996 2,254 159 1997 2,378 124 1998 2,465 87 1999 2,587 122 2000 2,494-93 2001 2,431-63 2002 2,475 44 Chart 1 Average Annual Daily Palm Beach County Jail Population: 1988 to 2002 3,000 2,500 2,000 1,500 1,000 500 0 2,587 2,494 2,475 2,465 2,254 2,378 2,431 2,095 1,743 1,602 1,695 1,647 1,616 1,671 1,646 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 4

Table 2 Average Daily Jail Population by Month: January 1987 to April 2003 Year Month Average Daily Jail Population (ADP) Year Month Average Daily Jail Population (ADP) Year Month Average Daily Jail Population (ADP) 1987 January 1,446 1990 January 1,648 1993 January 1,685 1987 February 1,381 1990 February 1,691 1993 February 1,604 1987 March 1,393 1990 March 1,638 1993 March 1,587 1987 April 1,340 1990 April 1,642 1993 April 1,623 1987 May 1,326 1990 May 1,616 1993 May 1,625 1987 June 1,349 1990 June 1,543 1993 June 1,610 1987 July 1,281 1990 July 1,550 1993 July 1,648 1987 August 1,305 1990 August 1,544 1993 August 1,595 1987 September 1,371 1990 September 1,496 1993 September 1,580 1987 October 1,375 1990 October 1,472 1993 October 1,565 1987 November 1,451 1990 November 1,689 1993 November 1,678 1987 December 1,418 1990 December 1,528 1993 December 1,553 1988 January 1,379 1991 January 1,529 1994 January 1,597 1988 February 1,476 1991 February 1,513 1994 February 1,639 1988 March 1,549 1991 March 1,658 1994 March 1,687 1988 April 1,584 1991 April 1,666 1994 April 1,565 1988 May 1,559 1991 May 1,736 1994 May 1,721 1988 June 1,592 1991 June 1,745 1994 June 1,742 1988 July 1,618 1991 July 1,733 1994 July 1,742 1988 August 1,689 1991 August 1,761 1994 August 1,750 1988 September 1,749 1991 September 1,748 1994 September 1,829 1988 October 1,786 1991 October 1,706 1994 October 1,877 1988 November 1,611 1991 November 1,635 1994 November 1,900 1988 December 1,548 1991 December 1,612 1994 December 1,789 1989 January 1,593 1992 January 1,665 1995 January 1,796 1989 February 1,618 1992 February 1,680 1995 February 1,830 1989 March 1,643 1992 March 1,661 1995 March 1,954 1989 April 1,692 1992 April 1,715 1995 April 2,078 1989 May 1,746 1992 May 1,665 1995 May 2,232 1989 June 1,787 1992 June 1,644 1995 June 2,144 1989 July 1,824 1992 July 1,644 1995 July 2,163 1989 August 1,823 1992 August 1,603 1995 August 2,148 1989 September 1,840 1992 September 1,699 1995 September 2,162 1989 October 1,881 1992 October 1,754 1995 October 2,213 1989 November 1,781 1992 November 1,688 1995 November 2,187 1989 December 1,573 1992 December 1,660 1995 December 2,166 5

Year Table 2 (Continued) Average Daily Jail Population by Month: January 1987 to April 2003 Month Average Daily Jail Population (ADP) Year Month Average Daily Jail Population (ADP) Year Month Average Daily Jail Population (ADP) 1996 January 2,146 1999 January 2,437 2002 January 2,471 1996 February 2,125 1999 February 2,525 2002 February 2,356 1996 March 2,185 1999 March 2,467 2002 March 2,361 1996 April 2,210 1999 April 2,473 2002 April 2,419 1996 May 2,240 1999 May 2,485 2002 May 2,476 1996 June 2,301 1999 June 2,542 2002 June 2,477 1996 July 2,290 1999 July 2,640 2002 July 2,491 1996 August 2,315 1999 August 2,688 2002 August 2,504 1996 September 2,291 1999 September 2,667 2002 September 2,514 1996 October 2,315 1999 October 2,650 2002 October 2,551 1996 November 2,293 1999 November 2,552 2002 November 2,607 1996 December 2,238 1999 December 2,352 2002 December 2,471 1997 January 2,251 2000 January 2,420 2003 January 2,524 1997 February 2,361 2000 February 2,473 2003 February 2,556 1997 March 2,162 2000 March 2,554 2003 March 2,502 1997 April 2,233 2000 April 2,606 2003 April 2,439 1997 May 2,311 2000 May 2,551 1997 June 2,365 2000 June 2,539 1997 July 2,381 2000 July 2,518 1997 August 2,432 2000 August 2,698 1997 September 2,438 2000 September 2,685 1997 October 2,455 2000 October 2,588 1997 November 2,460 2000 November 2,599 1997 December 2,337 2000 December 2,414 1998 January 2,339 2001 January 2,224 1998 February 2,353 2001 February 2,400 1998 March 2,420 2001 March 2,448 1998 April 2,372 2001 April 2,474 1998 May 2,499 2001 May 2,422 1998 June 2,542 2001 June 2,428 1998 July 2,489 2001 July 2,417 1998 August 2,432 2001 August 2,448 1998 September 2,438 2001 September 2,490 1998 October 2,455 2001 October 2,501 1998 November 2,460 2001 November 2,491 1998 December 2,337 2001 December 2,431 6

Comparison of the Jail Forecast Conducted in August 2001 and the Actual Jail Populations in 2001 and 2002 The issue addressed in this section is the level of accuracy of the jail forecasting project reported in the August 2001 forecasting report. There were three separate forecasts conducted for the August 2001 report: 1. A forecast that used changes in the resident population of Palm Beach County predicted from the 1990 Census data and the makeup of the jail population based on age, gender and racial groups. 2. A forecast that used an econometric time series forecasting methodology that uses historical trends to predict the future population. This first time series model used the historical period from January 1995 to April 2001 to forecast the annual ADP from 2001 to 2010. 3. A second time series model used a longer historical period from January 1987 to April 2001. The PBC Criminal Justice Commission decided to use all three forecasting methods by taking the average annual forecast of the three models as the final forecast. Table 3 displays a comparison between the jail populations forecasted in the August 2001 report and the actual annual average jail populations in 2001 and 2002. This comparison shows that, for 2001, all three models were very accurate. The range of variance between the forecasted jail population in 2001 and the actual ADP for 2001 ranged from 45 to 57 or 1.9% to 2.3%, for the three modeling techniques and the agreed-upon average forecast. All four forecasts exceeded the actual jail population, though the differences were minor. The final forecast adopted by the PBC Criminal Justice Commission was the average of the demographic and two time series model results. This forecast was quite accurate for 2002, with the forecast exceeding the actual population by only 25 inmates, or 1.0% (2,475 versus 2,450). The demographic model was less accurate with a variance of 57 (2.3%). The time series #2 model produced the most accurate forecast for 2002 with an average ADP only three higher than the actual population. While the time series #2 forecast was more accurate than the final forecast adopted by the PBC Criminal Justice Commission, it is recommended that the average forecast be adopted again for this updated forecast. The reason for this recommendation is that, in practical terms, both forecasts were very close to the actual population in 2002 and time series-based forecasts typically are considered appropriate for short-term estimates and are less reliable in the long term. 7

Table 3 Comparison of Actual 2001 and 2002 Jail ADP and Forecasts from August 2001 Report Average of Demographic and Time Series Models: Final Forecast Adopted by PBC Actual Annual Jail ADP Forecasted Annual Jail ADP Year 2001 2,431 2,380 51 2.1% 2002 2,475 2,450 25 1.0% Actual Annual Jail ADP Forecasted Annual Jail ADP Year 2001 2,431 2,386 45 1.9% 2002 2,475 2,418 57 2.3% Actual Annual Jail ADP Forecasted Annual Jail ADP Difference between Actual and Forecast Demographic Forecast of Jail ADP Difference between Actual and Forecast Time Series Model #1 Forecast of Jail ADP Difference between Actual and Forecast Year 2001 2,431 2,374 57 2.3% 2002 2,475 2,454 21 0.8% Time Series Model #2 Forecast of Jail ADP Actual Annual Forecasted Difference between Year Jail ADP Annual Jail Actual and Forecast ADP 2001 2,431 2,379 52 2.1% 2002 2,475 2,478-3 -0.1% 8

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Jail Forecasting Methods and Results The August 2001 PBC jail forecasting report contains detailed documentation of the forecasting methods considered for that study and the reasons why two methods, demographics and time series models, were ultimately selected and employed. This earlier report can be referred to for readers interested in these details. This updated forecasting study uses the demographic method and time series methods selected as the most reliable methodologies in the 2001 report to update the jail forecast. Demographic Modeling Technique The 2001 report used estimates of the future Palm Beach County resident population within various age, gender, and race groups based on the 1990 Census count. The current demographic based jail forecast is based on estimates of changes in the size and makeup of the PBC resident population based on the 2000 Census figures. The forecasted demographic data is estimated by the University of Florida s Bureau of Economic and Demographic Research. The steps used to develop a jail forecast using the demographic projections are as follows. First, data supplied by the PBC Jail on all offenders in jail in December 2002 was used to determine the number and percent of the total population within 32 different age, gender, and racial groups. These figures are contained in Table 10 in Section 3. Calculations were then made of the percentage of the resident population within each of the 32 groups that were in the jail in 2002. These percentages were then applied to the number of the residents within each of the groups that are projected to be in PBC from the demographic data from 2003 to 2015. Time Series Modeling Technique This projection method uses a well-established econometric time series statistical model. This technique relies solely on the historical trends of what is being forecasted to predict the future. This modeling technique places more weight, or importance, on the later years of the historical series and less weight on the earlier years. The assumption made is that whatever is influencing a change in the recent past is more likely to affect the future than factors in the more distant past. It is a judgment call as to the appropriate length of the historical time series of data that should be used to forecast into the future. As in the 2001 report, this study uses two historical time frames, one longer than the other. Model #1 uses a short time span of January 1995 to December 2002 to forecast the annual ADP from 2003 to 2015. Model #2 uses a longer time frame from January 1987 to December 2002 to forecast the annual ADP from 2003 to 2015. Both models use monthly jail ADP figures to forecast monthly populations, which are then averaged for each year in the forecasting period. 10

Results of the Three Jail Forecasting Methods Table 4 displays the result of the three average daily annual jail forecasts and one that averages the three. The salient points of the forecasts produced from the models are as follows: 1. All three models show moderate, but consistent, increases in the jail population each year between 2003 and 2015. 2. The demographic based model produces lower expected increases than either of the Time Series Models, to a population level of 2,861 in 2015. 3. The Time Series Model #1, using the short historical period from 1995 to 2002, produces a lower estimated jail population in 2015 than Model #2, which uses the longer period from 1987 to 2002 (3,176 versus 3,433). Table 5 displays the highest jail population during any given day in each year of the forecasting period from 2003 to 2015. These figures are important to consider when making decisions about when new jail beds will need to be built and will be discussed further when comparisons are made between the jail population forecast and the current capacity of the jail. Selection of Best Forecasting Model In Section 1 of this report, an evaluation of how well the different jail forecasts performed from the August 2001 report was presented. This analysis, along with the relative strengths and weaknesses of the demographic and time series modeling techniques, led to the recommendation that the average of the three forecasts be adopted as the final forecast. 11

Table 4 Forecast of Annual Average Daily Jail Population (Demographic Model, Time Series Models, and Average of Three Models) Time Series Forecast: Model #1 Time Series Forecast: Model #2 Average of Demographic and Time Series Models #1 and #2 Demographic Year Model 2003 2,431 2,512 2,516 2,486 2004 2,478 2,558 2,592 2,543 2005 2,524 2,614 2,669 2,602 2006 2,565 2,670 2,745 2,660 2007 2,608 2,726 2,822 2,719 2008 2,649 2,783 2,898 2,777 2009 2,687 2,839 2,975 2,834 2010 2,722 2,895 3,051 2,889 2011 2,754 2,951 3,127 2,944 2012 2,784 3,008 3,204 2,999 2013 2,811 3,064 3,280 3,052 2014 2,836 3,120 3,357 3,104 2015 2,861 3,176 3,433 3,157 12

Table 5 Forecast of Highest Daily Jail Population (Demographic Model, Time Series Models, and Average of Three Models) Time Series Forecast: Model #1 Time Series Forecast: Model #2 Average of Demographic and Time Series Models #1 and #2 Demographic Year Model 2003 2,633 2,720 2,725 2,693 2004 2,684 2,770 2,807 2,754 2005 2,733 2,831 2,891 2,818 2006 2,778 2,892 2,973 2,881 2007 2,824 2,952 3,056 2,944 2008 2,869 3,014 3,139 3,007 2009 2,910 3,075 3,222 3,069 2010 2,948 3,135 3,304 3,129 2011 2,983 3,196 3,387 3,188 2012 3,015 3,258 3,470 3,248 2013 3,044 3,318 3,552 3,305 2014 3,071 3,379 3,636 3,362 2015 3,098 3,440 3,718 3,419 13

Chart 2 Final Palm Beach County Average Annual Daily and Highest Daily Jail Forecast: 2003 to 2015 (Average of the Three Models) 3,500 3,300 3,100 2,900 2,700 2,500 2,300 3,007 2,944 2,881 2,818 2,754 2,693 2,777 2,719 2,660 2,602 2,543 2,486 3,362 3,419 3,305 3,248 3,188 3,129 3,069 3,157 3,104 3,052 2,999 2,944 2,889 2,834 Annual Average Daily Population Forecast Highest Average Daily Population Forecast 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 14

Jail Forecast Versus General, Current and Future Capacities: The Palm Beach county jail system uses three definitions of jail capacity: 1. General Population Capacity is the number of jail beds that are staffed and funded minus the number of beds needed for special needs, such as segregation, medical, and crisis stabilization. The General Capacity of the jail system as of March 2003 was 2,858 beds. 2. Current Capacity is the total number of jail beds that are staffed and funded to house all inmates, including those in general population as well as special needs populations. The Current Capacity of the jail system as of March 2003 was 2,922 beds. 3. Future Capacity is the number of inmates the jail system can hold if the necessary staff and funds are made available to enable occupancy of all available jail beds. The Future Capacity of the jail system as of March 2003 was 3,320 beds. Table 6 shows that Palm Beach County will not have to increase its general jail capacity until the year 2010 to accommodate the average daily population during the year. Table 7 indicates the general jail capacity will have to be increased in 2006 to accommodate the highest daily jail population during the year when the population is projected to reach a high of 2,881 inmates while the current capacity is 2,858. Additionally, the highest daily population will be within only 40 beds in 2005. According to the final jail forecast, the current jail capacity will not have to be increased until 2011 to accommodate the average annual daily jail population. However, the highest daily population is projected to exceed the current jail capacity by 22 in 2007. The future jail capacity of 3,320 beds will not have to be increased throughout the 2015 forecasting period to accommodate the average annual jail population, but will need to be increased in 2014 to accommodate the highest daily jail population. Based on the updated jail forecast produced for this report, the general jail capacity will need to be increased in 2006 to accommodate the highest daily population, but will not need to be increased until 2010 to handle the average daily population. It is important that the Palm Beach County Criminal Justice Commission monitor the accuracy of this updated jail forecast each year in the future and determine if any adjustments are required. 15

Table 6 Average Daily Populations From 2003 to 2015: Difference between Final Jail Forecast and General, Current and Future Jail Capacities Final PBC General Jail Current Jail Future Jail Jail Capacity of Capacity of Capacity of Year Forecast 2,858 2,922 3,320 2003 2,486 372 436 834 2004 2,543 315 379 777 2005 2,602 256 320 718 2006 2,660 198 262 660 2007 2,719 139 203 601 2008 2,777 81 145 543 2009 2,834 24 88 486 2010 2,889-31 33 431 2011 2,944-86 -22 376 2012 2,999-141 -77 321 2013 3,052-194 -130 268 2014 3,104-246 -182 216 2015 3,157-299 -235 163 16

Table 7 Highest Daily Populations From 2003 to 2015: Difference between Final Jail Forecast and General, Current and Future Jail Capacities Final PBC General Jail Current Jail Future Jail Jail Capacity of Capacity of Capacity of Year Forecast 2,858 2,922 3,320 2003 2,693 165 229 627 2004 2,754 104 168 566 2005 2,818 40 104 502 2006 2,881-23 41 439 2007 2,944-86 -22 376 2008 3,007-149 -85 313 2009 3,069-211 -147 251 2010 3,129-271 -207 191 2011 3,188-330 -266 132 2012 3,248-390 -326 72 2013 3,305-447 -383 15 2014 3,362-504 -440-42 2015 3,419-561 -497-99 17

Chart 3 Projected Palm Beach County Jail Population Versus General, Current and Future Jail Capacity 3,900 3,700 Highest Daily Population Forecast Average Annual Daily Population Forecast General Jail Capacity (2,858) Current Jail Capacity (2,922) Future Jail Capacity (3,320) 3,500 3,300 3,100 2,900 2,700 2,500 2,300 3,419 3,362 3,320 3,320 3,320 3,320 3,320 3,248 3,305 3,320 3,320 3,188 3,129 3,069 3,104 3,157 2,922 2,922 2,922 3,052 2,922 3,007 2,999 2,944 2,944 2,858 2,881 2,889 2,858 2,858 2,858 2,818 2,834 2,754 2,777 2,693 2,660 2,719 2,602 2,486 2,543 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 18

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Summary of Trends and Characteristics of the Palm Beach County Jail Population The purpose of this section is to present general information about the jail population in Palm Beach County. The following is a brief summary of what this data indicates: Table 8 PBC Jail Population in December 2002: Over one-quarter (27.2%) of the jail population were males between the ages of 18 and 24. Table 9 - Average Days Served in Palm Beach County Jail for Inmates Released From January 2001 to December 2002: On average, inmates released from the PBC jail in 2002 served 26.9 days in jail. No meaningful change occurred in the average time served from 2001 to 2002 (26.2 to 26.9 days). Table 10 - Gender and Offense Types of Inmates in the PBC Jail: 1998 to 2002: The proportion of the total jail population comprised of female inmates was virtually the same in 2002 as it was in 1998 (10.9% versus 10.7%). The proportion of the jail population incarcerated for felony offenses has increased somewhat over the past five years (68.3% in 1998 versus 71.1% in 2002). Table 11 - Status of Inmates in the PBC Jail: 1998 to 2002: The percentage of the jail population comprised of offenders awaiting trial increased significantly from 1998 to 2002 (54.8% to 68.3%) In contrast, the percentage of jail inmates sentenced to 364 days or less has decreased significantly from 1998 to 2002 (31.9% to 22.0%). 20

Table 8 Inmates in the PBC Jail in December 2002 by Demographic Categories Gender, Race and Age Groups Number Percent Cumulative Number Cumulative Percent 1 Male - Non-White - 18 to 24 319 14.7% 319 14.7% 2 Male - White - 18 to 24 271 12.5% 590 27.2% 3 Male - White - 35 to 39 162 7.5% 752 34.7% 4 Male - White - 25 to 29 143 6.6% 895 41.3% 5 Male - Non-White - 25 to 29 139 6.4% 1,034 47.7% 6 Male - White - 30 to 34 124 5.7% 1,158 53.4% 7 Male - White - 40 to 44 118 5.4% 1,276 58.8% 8 Male - White - 45 to 54 113 5.2% 1,389 64.0% 9 Male - Non-White - 35 to 39 103 4.7% 1,492 68.7% 10 Male - Non-White - 30 to 34 99 4.6% 1,591 73.3% 11 Male - Non-White - 40 to 44 98 4.5% 1,689 77.8% 12 Male - Non-White - 45 to 54 95 4.4% 1,784 82.2% 13 Male - Non-White - 17 or Under 57 2.6% 1,841 84.8% 14 Female-White 18 to 24 32 1.5% 1,873 86.3% 15 Male - White - 17 or Under 31 1.4% 1,904 87.7% 16 Female-White 35 to 39 29 1.3% 1,933 89.0% 17 Female-White 30 to 34 28 1.3% 1,961 90.3% 18 Male - White - 55 or Older 28 1.3% 1,989 91.6% 19 Female- Non-White - 18 to 24 25 1.2% 2,014 92.8% 20 Female- Non-White - 35 to 39 25 1.2% 2,039 94.0% 21 Female-White 45 to 54 21 1.0% 2,060 95.0% 22 Female- Non-White - 25 to 29 18 0.8% 2,078 95.8% 23 Female- Non-White - 40 to 44 18 0.8% 2,096 96.6% 24 Female- Non-White - 30 to 34 17 0.8% 2,113 97.4% 25 Female-White - 25 to 29 16 0.7% 2,129 98.1% 26 Female-White - 40 to 44 16 0.7% 2,145 98.8% 27 Male - Non-White - 55 or Older 11 0.5% 2,156 99.3% 28 Female- Non-White - 45 to 54 9 0.4% 2,165 99.7% 29 Female- Non-White - 17 or Under 2 0.1% 2,167 99.8% 30 Female-White - 17 or Under 2 0.1% 2,169 99.9% 31 Female- Non-White - or Older 1 0.0% 2,170 99.9% 32 Female-White - 55 or Older 1 0.0% 2,171 99.9% Total 2,171 100.0% Source: Data provided by the Palm Beach County Jail 21

Table 9 Average Days Served in Palm Beach County Jail for Inmates Released From January 2001 to December 2002 Year Month Average Days Served 2001 January 28.6 2001 February 26.5 2001 March 26.4 2001 April 28.1 2001 May 26.0 2001 June 29.4 2001 July 28.9 2001 August 27.0 2001 September 22.4 2001 October 23.1 2001 November 23.4 2001 December 23.9 2002 January 39.6 2002 February 35.5 2002 March 12.5 2002 April 15.7 2002 May 19.0 2002 June 20.6 2002 July 26.4 2002 August 26.2 2002 September 31.2 2002 October 33.6 2002 November 31.3 2002 December 33.0 2001 Total Average 26.2 2002 Total Average 26.9 Data Source: Palm Beach County Jail System Dataset 22

Table 10 Gender and Offense Types of Inmates in the PBC Jail: 1998 to 2002 1998 1999 2000 2001 2002 Types of Inmates: No. Percent No. Percent No. Percent No. Percent No. Percent Average Population 2,526 2,551 2,491 2,351 2,385 Gender: Males 2,256 89.3% 2,277 89.3% 2,218 89.0% 2,084 88.6% 2,125 89.1% Females 270 10.7% 274 10.7% 273 11.0% 267 11.4% 260 10.9% Offense Type Felonies 1,725 68.3% 1,715 67.2% 1,722 69.1% 1,646 70.0% 1,695 71.1% Mis demeanors 672 26.6% 696 27.3% 637 25.6% 559 23.8% 537 22.5% Other 129 5.1% 140 5.5% 132 5.3% 146 6.2% 153 6.4% Source: Florida Department of Corrections, Florida County Detention Facilities Average Inmate Population monthly report. Chart 4 Offense Types of Inmates in the PBC Jail in the Year 2002 Others 6.4% Misdemeanors 22.5% Felonies 71.1% 23

Table 11 Status of Inmates in the PBC Jail: 1998 to 2002 1998 1999 2000 2001 2002 Jail Status: No. Percent No. Percent No. Percent No. Percent No. Percent Average Population 2,526 2,551 2,491 2,351 2,385 A waiting Trial 1,384 54.8% 1,443 56.6% 1,478 59.3% 1,457 62.0% 1,629 68.3% Sentenced (364 Days or Les s) 805 31.9% 777 30.5% 715 28.7% 598 25.4% 525 22.0% Probation Violation - Technical 93 3.7% 60 2.4% 43 1.7% 39 1.7% 1 0.0% Sentenced (365 Days or More) 72 2.9% 76 3.0% 78 3.1% 77 3.3% 81 3.4% A waiting Sentencing 15 0.6% 13 0.5% 16 0.6% 7 0.3% 1 0.0% Other 157 6.2% 182 7.1% 161 6.5% 173 7.4% 148 6.2% Source: Florida Department of Corrections, Florida County Detention Facilities Average Inmate Population monthly report. Chart 5 Status of Inmates in the PBC Jail in the Year 2002 Awaiting Trial 68.4% Other 6.2% Awaiting Sentencing 0.0% Sentenced (364 days or less) 22.0% Sentenced (365 days or more) 3.4% Probation Violator - Technical 0.0% 24

Palm Beach County Board of County Commissioners Karen T. Marcus, Chair Tony Masilotti, Vice Chairman Jeff Koons Warren H. Newell Mary McCarty Burt Aaronson Addie L. Greene County Administrator Robert Weisman CRIMINAL JUSTICE COMMISSION Jorge Dominicis, Chairman Leo E. Noble, Vice Chairman Ric Bradshaw, Secretary Wendy Sartory Link, Treasurer L. Diana Cunningham, Executive Director