rrec the public policy perspective · 2016-12-27 · 8 imnate id name tpai score sentence, days...
TRANSCRIPT
RREC – The Public Policy PerspectiveMike Lawlor, Undersecretary
Criminal Justice Policy & Planning DivisionOffice of Policy and Management
1
2
Connecticut’s prison populationsince February 2008
19,894
18,978
18,05317,746
17,022
16,646
14,000
15,000
16,000
17,000
18,000
19,000
20,000
21,000
FEB '0
8M
AR
AP
RM
AY
JUN
JUL
AU
GSEPO
CT
NO
VD
ECJA
N '0
9FEBM
AR
AP
RM
AY
JUN
EJU
LYA
UG
SEPO
CT
NO
VD
ECJA
N '1
0FEBM
AR
AP
RM
AY
JUN
EJU
LYA
UG
SEPO
CT
NO
VD
ECJA
N '1
1FEBM
AR
AP
RM
AY
JUN
EJU
LYA
UG
SEPO
CT
NO
VD
ECJA
N '1
2FEBM
AR
AP
RM
AY
JUN
EJU
LYA
UG
SEP
3
Average sentenced admits per month
435.8
425.2 426.8423.3
430.8
393.5
384.9389.5
350.0
360.0
370.0
380.0
390.0
400.0
410.0
420.0
430.0
440.0
2005 2006 2007 2008 2009 2010 2011 2012
Avg. sentenced admits per month
4
Monthly Criminal Arrests in CT
8,5
43
8,2
49
8,6
60
8,4
06
9,0
67
8,3
43
9,4
95
9,2
87
8,7938,368
10,6319,866
10,372 10,8479,773
10,6179,792
9,0728,660
7,998
0
2,000
4,000
6,000
8,000
10,000
12,000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Criminal arrests, 2012
Criminal arrests, 2011
119,432 118,940115,601 115,337 114,011
117,196
124,249
114,156
104,983
90,000
100,000
110,000
120,000
130,000
2003 2004 2005 2006 2007 2008 2009 2010 2011
Statewide criminal arrests - 2003 - 2011
5
System Chart – Monthly Indicators Report, September 2012
6
Releases and discharges – Monthly Indicators Report, Sept. 2012
7
Average releases and discharges per month
1,773.1
1,789.61,798.8
1,728.8
1,780.9
1,703.3
1,720.11,706.5
1,640.0
1,660.0
1,680.0
1,700.0
1,720.0
1,740.0
1,760.0
1,780.0
1,800.0
1,820.0
2005 2006 2007 2008 2009 2010 2011 2012
Average number of monthly release and discharges
Monthly Average = Annual monthly releases and discharges divided by 12.
2012 Figure calculated through August - total was divided by 8
8
Imnate id Name
TPAI
score
Sentence,
days
Suspended
after, days
Date
sentenced
Last DOC
admit
Actual
release
date
Estimated
min. release
date
Actual days
incarcerated
Percent
incarcera
ted Release type
1 95277 WILSON,MARVIN 5 2920 2190 5/22/2003 3/18/2002 3/17/2008 3/16/2008 2,191 100% eos to SP
2 302350 PHILLIPS,WADSWORTH F 5 6570 2190 4/30/2003 7/9/2002 7/8/2008 7/7/2008 2,191 100% eos - jamaican citizen
3 268936 SALABERRIOS,NOEL 5 3650 365 9/19/2007 1/29/2007 1/29/2008 1/29/2008 365 100% eos
4 306755 COLE,KEVIN 5 5100 2190 4/21/2004 12/4/2002 12/2/2008 12/2/2008 2,190 100% eos -jamaican citizen
5 324484 PASCAL,BRENT 5 2555 1095 2/3/2006 2/2/2005 2/2/2008 2/2/2008 1,095 100% eos, dominican citizen
6 338290 GUIRAND,FRITZ D 5 1460 365 7/9/2007 7/9/2007 7/8/2008 7/8/2008 365 100% eos
7 306991 PADILLA,JIMMY JERRY 5 2920 1825 7/3/2003 6/30/2003 6/27/2008 6/28/2008 1,824 100% eos honduran citizen
8 326259 ROBINSON,STEFAN N JR 5 3650 1460 11/4/2005 2/10/2005 12/15/2008 2/9/2009 1,404 96% parole
9 297007 HARRISON,PAUL 5 4745 2555 2/14/2003 12/21/2001 7/29/2008 12/19/2008 2,412 94% parole
10 57999 CIANCI,RICHARD 5 3650 1825 5/28/2004 9/14/2003 5/27/2008 9/12/2008 1,717 94% parole
11 267655 DONNELLY,MICHAEL 5 2190 2190 6/26/2003 4/10/2003 11/12/2008 4/8/2009 2,043 93% parole
12 283901 RESTO,FRANKIE 5 4745 2250 1/23/2007 7/31/2006 4/12/2012 9/27/2012 2,082 93% eos, RREC
13 218881 ARRIAGA,ANGEL 5 5110 2190 7/17/2003 9/30/2002 4/14/2008 9/28/2008 2,023 92% parole
14 300392 EVANS,ALEX GODFREY 5 4380 2555 7/21/2003 4/29/2002 9/19/2008 4/27/2009 2,335 91% eos
15 319251 ROSS,NNAMDII R 5 3650 1350 7/20/2005 11/8/2004 3/25/2008 7/20/2008 1,233 91% parole
16 329194 SCOTT,BERNARD 5 2555 1260 9/16/2005 3/3/2005 4/18/2008 8/14/2008 1,142 91% CR
17 291885 GARDNER,DERMAINE D 5 3650 1825 7/1/2004 3/18/2004 9/15/2008 3/17/2009 1,642 90% CR
18 275238 PETTWAY,MARQUIS 5 6570 3560 9/6/2000 7/6/1999 4/10/2008 4/4/2009 3,201 90% parole
19 309283 BANTON,STEVE ANTHONY 5 1980 1980 11/14/2003 10/18/2003 7/8/2008 3/20/2009 1,725 87% CR
20 290232 QUINONES,ALEXIS 5 2555 2555 4/1/2002 5/22/2001 5/10/2007 5/20/2008 2,179 85% parole
21 13239 BURNEY,LEONARD 5 3650 3650 9/10/1998 2/9/1998 8/17/2006 2/7/2008 3,111 85% CR
22 316012 KRASOWSKI,THOMAS J 5 3650 1825 10/7/2004 8/26/2004 11/14/2008 8/25/2009 1,541 84% CR
23 316759 JACKSON,ERICK 5 3650 1825 4/30/2004 11/21/2003 1/28/2008 11/19/2008 1,529 84% CR
24 56811 DAVENPORT,DAVID 5 3650 3650 5/26/2000 3/12/1999 7/10/2007 3/9/2009 3,042 83% CR
25 316046 HENNEBERRY,MATTHEW 5 4380 1825 10/22/2004 4/3/2004 5/14/2008 4/2/2009 1,502 82% CR
26 180152 DIAZ,SIGFREDO 5 5840 2920 6/7/2002 9/4/2001 3/31/2008 9/2/2009 2,400 82% CR
27 326633 GREENE,DONALD L 5 2920 1825 9/2/2005 11/22/2004 10/10/2008 11/21/2009 1,418 78% CR
28 307859 MARTIN,KENNETH JAQUIN 5 3650 1825 4/12/2004 12/15/2003 10/29/2007 12/13/2008 1,414 77% CR
29 334848 GARAY,JOEL 5 2555 1095 5/25/2006 10/3/2005 1/17/2008 10/2/2008 836 76% CR
30 323836 RICHARDSON,STEVEN 5 4830 1825 11/21/2005 8/17/2004 6/4/2008 8/16/2009 1,387 76% CR
31 323923 CLARK,MATTHEW T 5 4830 1825 5/16/2005 12/16/2004 9/24/2008 12/15/2009 1,378 76% CR
32 319304 JOYCE,ROBERT 5 4380 1620 12/6/2004 3/20/2004 7/26/2007 8/26/2008 1,223 75% CR
33 326299 JOHNSON,TYRON 5 3650 1095 11/4/2005 2/10/2005 5/8/2007 2/10/2008 817 75% CR
34 318864 SMITH,STEVEN T 5 3650 1825 11/3/2004 9/28/2004 6/17/2008 9/27/2009 1,358 74% CR
35 332067 LEE,DAVID 5 3650 1460 6/24/2005 6/24/2005 5/28/2008 6/23/2009 1,069 73% CR
36 276654 HARRELL,JAMES C 5 6570 1825 11/10/2005 5/25/2003 1/19/2007 5/23/2008 1,335 73% CR
37 325118 VILLEGAS,RAFAEL 5 2920 1260 2/4/2005 9/28/2004 3/22/2007 3/11/2008 905 72% CR
38 348087 ARCE,LUIS 5 2920 730 2/9/2007 2/9/2007 7/9/2008 2/8/2009 516 71% CR
39 343504 PASK,BENJAMIN 5 3650 1095 8/30/2006 8/30/2006 8/21/2008 8/29/2009 722 66% CR
40 323818 HANSON,JEROME 5 2555 1460 7/8/2005 8/16/2004 2/19/2007 8/15/2008 917 63% CR
41 349906 MOISE,JOHN 5 4380 900 12/20/2007 4/26/2007 10/10/2008 10/12/2009 533 59% CR
9
93%
59%
0%
20%
40%
60%
80%
100%
120%
32
62
59
29
70
07
57
99
9
26
76
55
F. RESTO
21
88
81
30
03
92
31
92
51
32
91
94
29
18
85
27
52
38
30
92
83
30
92
83
29
02
32
13
23
9
31
60
12
31
67
59
56
81
1
31
60
46
18
01
52
32
66
33
30
78
59
33
48
48
32
38
36
32
39
23
31
93
04
32
62
99
31
88
64
33
20
67
27
66
54
32
51
18
34
80
87
34
35
04
32
38
18
34
99
06
Risk Reduction Earned Credits (RREC):a preliminary review of implementation and
performance issues
Karl Lewis – Director of Offender Classification and Population Management , The Connecticut Department of Correction
&Ivan Kuzyk, Director, Statistical Analysis Center
The Office of Policy & Management
10
Purpose of this analysis by OPM
OPM has been tracking RREC discharges since they were implemented last year.
This is the first opportunity OPM has had to summarize the impact of RREC on recidivism among offenders discharging from prison
Purpose of this analysis is both to: clarify the operations with respect to RREC, and to report preliminary findings with respect
to offender recidivism
11
Discretionary releases are a time-tested, widely used tool in correction systems in every U.S. state.
In October 2010, one year before the RREC began, 1,604 offenders were released or discharged from state prisons. 747 of these offenders (43%) left prison through some
discretionary release mechanism.
In October 2010, the DOC released prisoners through 6 discretionary release programs.
By September 2012, the DOC has expanded the number of discretionary release programs to 7 DUI Home confinement was introduced in March 2012
In October 2011, 1,722 offenders were released or discharged from DOC facilities
Discretionary Release Mechanisms at DOC
12
Discretionary release mechanisms: Parole Transitional Supervision Transfer Parole Transfer Placement DUI Home Confinement Re-entry Furlough Halfway Houses
Each mechanism provides an alternative pathway to completing a prison sentences in lieu of incarceration.
Discretionary Release Mechanisms at DOC (2)
13
Between October 5, 2011 and September 5,2012, 8,941 offenders were eligible to earn RREC only 8,700 were awarded at least one day of
RREC.
Discharges
177
600455
327 303 354 306 309 343 334 393
22
77
501584
493 507512
408 466 440 393431
220
200
400
600
800
1000
1200
Oct. 2
01
1
No
v. 20
11
De
c. 20
11
Jan. 2
01
2
Feb
. 20
12
Mar. 2
01
2
Ap
r. 20
12
May 2
01
2
Jun
. 20
12
Jul. 2
01
2
Au
g. 20
12
Sep
t.20
12
Other From facilities From community
14
The average offender who was granted RREC earned 60.4 days.
The median offender earned 32 days of RREC 79% earned under 3 months
RREC receivers
15
0
50
100
150
200
250
300
350
1 8 15
22
29
36
43
50
57
64
71
78
85
92
99
10
6
11
3
12
0
12
7
13
4
14
1
14
8
15
5
16
2
16
9
17
6
18
3
19
0
19
7
20
4
21
1
21
8
22
5
23
2
23
9
24
6
25
4
26
1
26
9
27
6
28
3
29
0
29
7
30
4
31
1
31
8
32
6
33
3
34
0
34
7
35
4
36
3
37
6
Off
en
de
rs r
ece
ivin
g R
REC
RREC days awarded
Average RREC awarded: 60.4 days
Median RREC awarded: 32.0 days
0 to < 1 month, 50%
1 to <2 months, 19% 2 to <3 months,
10%
3 to < 6 months, 13%
6 to < 9 months, 5%
9 to < 1 year, 3%
RREC and discretionary releases
In April 2012, 84% of offenders who discharged from prison, discharged with less than 90 days of RRECIn August 2012:– the average offender discharged from prison earned 49.3 days of RREC– the average offender discharged in the community earned 89.5 days.
734
200 234
100 7437 28 19 8 11 6 5 11
0
160
320
480
640
800
APRIL MAY JUN JUL AUG SEPT OCT NOV DEC JAN FEB MAR
April prison and community discharges
RREC discharge
Discharge w/o RREC
408
161138
43 27 14 7 7 2 2 2 1 40
90
180
270
360
450
APRIL MAY JUN JUL AUG SEPT OCT NOV DEC JAN FEB MAR
April discharges from prison
RREC discharge
Discharge w/o RREC
16
Measuring recidivism (2)Between October 5, 2011 and September 5, 2012, 8,941 offenders discharged from prison having earned RREC of these, 8,700 were awarded RREC
By September 5, 2012, there were 1,403 readmits to DOC facilities by these 8,941 men.
These 1,403 admits were made by 1,202 offenders
So, can we compute the recidivism rateof these offenders from this data?
0
20
40
60
80
100
120
140
10
/5/2
011
10
/12
/20…
10
/19
/20…
10
/26
/20…
11
/2/2
011
11
/9/2
011
11
/16
/20…
11
/23
/20…
11
/30
/20…
12
/7/2
011
12
/14
/20…
12
/21
/20…
12
/28
/20…
1/4
/20
12
1/1
1/2
012
1/1
8/2
012
1/2
5/2
012
2/1
/20
12
2/8
/20
12
2/1
5/2
012
2/2
2/2
012
2/2
9/2
012
3/7
/20
12
3/1
4/2
012
3/2
1/2
012
3/2
8/2
012
4/4
/20
12
4/1
1/2
012
4/1
8/2
012
4/2
5/2
012
5/2
/20
12
5/9
/20
12
5/1
6/2
012
5/2
3/2
012
5/3
0/2
012
6/6
/20
12
6/1
3/2
012
6/2
0/2
012
6/2
7/2
012
7/4
/20
12
7/1
1/2
012
7/1
8/2
012
7/2
5/2
012
8/1
/20
12
8/8
/20
12
8/1
5/2
012
8/2
2/2
012
8/2
9/2
012
9/5
/20
12
FACILITY COMM
17
Measuring recidivism (1)
Recidivist: a convicted criminal who reoffends
By extension, recidivism rates explain how and how long it takes for groups of criminals to reoffend
There are two main concerns: What events constitute recidivism, and How long should you wait before
calculating rates.
18
Measuring recidivism (3)
0
20
40
60
80
100
120
140
10
/5/2
011
10
/12
/20…
10
/19
/20…
10
/26
/20…
11
/2/2
011
11
/9/2
011
11
/16
/20…
11
/23
/20…
11
/30
/20…
12
/7/2
011
12
/14
/20…
12
/21
/20…
12
/28
/20…
1/4
/20
12
1/1
1/2
012
1/1
8/2
012
1/2
5/2
012
2/1
/20
12
2/8
/20
12
2/1
5/2
012
2/2
2/2
012
2/2
9/2
012
3/7
/20
12
3/1
4/2
012
3/2
1/2
012
3/2
8/2
012
4/4
/20
12
4/1
1/2
012
4/1
8/2
012
4/2
5/2
012
5/2
/20
12
5/9
/20
12
5/1
6/2
012
5/2
3/2
012
5/3
0/2
012
6/6
/20
12
6/1
3/2
012
6/2
0/2
012
6/2
7/2
012
7/4
/20
12
7/1
1/2
012
7/1
8/2
012
7/2
5/2
012
8/1
/20
12
8/8
/20
12
8/1
5/2
012
8/2
2/2
012
8/2
9/2
012
9/5
/20
12
FACILITY COMM
0
20
40
60
80
100
120
140
05
-Oct-1
1
12
-Oct-1
1
19
-Oct-1
1
26
-Oct-1
1
02
-No
v-11
09
-No
v-11
16
-No
v-11
23
-No
v-11
30
-No
v-11
07
-De
c-11
14
-De
c-11
21
-De
c-11
28
-De
c-11
04
-Jan-1
2
11
-Jan-1
2
18
-Jan-1
2
25
-Jan-1
2
01
-Feb
-12
08
-Feb
-12
15
-Feb
-12
22
-Feb
-12
29
-Feb
-12
07
-Mar-1
2
14
-Mar-1
2
21
-Mar-1
2
28
-Mar-1
2
04
-Ap
r-12
11
-Ap
r-12
18
-Ap
r-12
25
-Ap
r-12
02
-May-12
09
-May-12
16
-May-12
23
-May-12
30
-May-12
06
-Jun
-12
13
-Jun
-12
20
-Jun
-12
27
-Jun
-12
04
-Jul-1
2
11
-Jul-1
2
18
-Jul-1
2
25
-Jul-1
2
01
-Au
g-12
08
-Au
g-12
15
-Au
g-12
22
-Au
g-12
29
-Au
g-12
05
-Sep
-12
FACILITY COMM
To compute recidivism rates you require a fixed time component and a meaningful cohort
Six months
Six months
Six months
19
Measuring recidivism (2)
OPM had been publishing annual recidivism studies of state prisoners for almost a decade.
OPM uses: Data from the Dept. of Correction, the State
Police and the Judicial Branch (CSSD) We apply a consistent methodology to our
studies based on US DOJ practice We track four measures
New arrests New convictions Reincarceration events, and Returns to prison with a new sentence
20
Measuring recidivism (3)
In recent years OPM has published recidivism studies based on 2-year, 3-year and 5-year outcome data.
We have tracked recidivism among sex offenders, high risk offenders, career criminals and gun felons.
Our reports are available on the OPM website.
OPM has developed excellent benchmark recidivism data for cohorts of offenders who were released in 2004, 2005 and 2008.
21
Measuring recidivism – Typical analysis
0%
10%
20%
30%
40%
50%
60%
70%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
Cu
mu
lati
ve p
erc
en
t o
f co
ho
rt
Months since 2005 release/discharge
3-Year Recidivsm Rates for CT Offenders Released in 2005
New Arrest
Return to Prison
New Conviction (CCH)
New Prison Sentence
22
Measuring recidivism – Data Required + Time
0%
10%
20%
30%
40%
50%
60%
70%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
Cu
mu
lati
ve p
erc
en
t o
f co
ho
rt
Months since 2005 release/discharge
3-Year Recidivsm Rates for CT Offenders Released in 2005
New Arrest
Return to Prison
New Conviction (CCH)
New Prison Sentence
DOC Data
Judicial, State Police data
Time to gather data 23
Measuring recidivism – 4 measures over time
0%
10%
20%
30%
40%
50%
60%
70%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
Cu
mu
lati
ve p
erc
en
t o
f co
ho
rt
Months since 2005 release/discharge
3-Year Recidivsm Rates for CT Offenders Released in 2005
New Arrest
Return to Prison
New Conviction (CCH)
New Prison Sentence
67.5%
53.6%53.7%
36.6%
Predictive and stable24
Recidivism – Return to prison w/in 6 months
3,279 offenders who had earned RREC were released or discharged between October 1, 2011 and January 31, 2012 . 3,178 were awarded at least one day of RREC
During the 6-month period following their discharge dates, 420 offenders were returned to prison (12.8%)
By September 9, 2012 – 628 offenders in the group of 3,279 had returned to prison 769 times.
1.7%3.6%
6.3%8.8%
10.7%12.8%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
1 2 3 4 5 6 7 8 9 10 11 12Months since release or discharge
Recidivsm - Return to prison
25
Recidivism – Return to prison w/in 6 months
12.8%
21.2%
33.5%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
1 2 3 4 5 6 7 8 9 10 11 12Months since release or discharge
Recidivsm - Return to prison
RREC Cum. %
2008 Cohort, Cum. %
In 2008, 16,286 offenders were discharged or released from prison.
In the 6 months follow there releases, 21% were returned to prison
Offenders receiving RREC during October through January returned to prison at considerably lower rates than offenders in 2008.
26
Recidivism – Return to prison w/in 6 months
12.8%
20.7%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
1 2 3 4 5 6 7 8 9 10 11 12
Months since release or discharge
Recidivsm - Return to Prison
RREC Cum. %
2008 Cohort, Cum. %
2005 Cohort, Cum. %
16,241 offenders were discharged or released from prison during 2005. These offenders returned to prison at rates similar to the rate for offenders in 2005.
Offenders receiving RREC during October 2011 through January 2012 returned to prison at considerably lower rates than offenders in 2005 or 2008.
27
RREC – The Numbers (3)
28
3-year 6-month 6-month
Cohort 2008 2008 RREC*
New admits 4,897 1,521 339
Other** 110 116 13
New sentences 783 169 23
Tech/criminal violations 2,613 1,640 45
Returned to prison 8,403 3,446 420
Cohort 16,286 16,286 3,279
Rate 52% 21% 13%
Recidivism, rate by type
Recid New admits 30% 9% 10%
Recid Other 1% 3% 3%
Recid New sentences 5% 1% 1%
Recid for Tech/criminal violations 16% 10% 1%
Recidivism, distribution by type
New admit 58% 44% 81%
Other 1% 3% 3%
New sentence 9% 5% 5%
Crim. & tech. violations 31% 48% 11%
Recid RTP 100% 100% 100%
*RREC - Releases and discharges, Oct. 1, 2011 through Jan. 31, 2012
** Other includes non-prejudical returns and other jurisdictions
29
3-year 6-month 6-month
Cohort 2008 2008 RREC*
New admits 4,897 1,521 339
Other** 110 116 13
New sentences 783 169 23
Tech/criminal violations 2,613 1,640 45
Returned to prison 8,403 3,446 420
Cohort 16,286 16,286 3,279
Rate 52% 21% 13%
Recidivism, rate by type
Recid New admits 30% 9% 10%
Recid Other 1% 3% 3%
Recid New sentences 5% 1% 1%
Recid for Tech/criminal violations 16% 10% 1%
Recidivism, distribution by type
New admit 58% 44% 81%
Other 1% 3% 3%
New sentence 9% 5% 5%
Crim. & tech. violations 31% 48% 11%
Recid RTP 100% 100% 100%
*RREC - Releases and discharges, Oct. 1, 2011 through Jan. 31, 2012
** Other includes non-prejudical returns and other jurisdictions
3-year 6-month 6-month
Cohort 2008 2008 RREC*
New admits 4,897 1,521 339
Other** 110 116 13
New sentences 783 169 23
Tech/criminal violations 2,613 1,640 45
Returned to prison 8,403 3,446 420
Cohort 16,286 16,286 3,279
Rate 52% 21% 13%
Recidivism, rate by type
Recid New admits 30% 9% 10%
Recid Other 1% 3% 3%
Recid New sentences 5% 1% 1%
Recid for Tech/criminal violations 16% 10% 1%
Recidivism, distribution by type
New admit 58% 44% 81%
Other 1% 3% 3%
New sentence 9% 5% 5%
Crim. & tech. violations 31% 48% 11%
Recid RTP 100% 100% 100%
*RREC - Releases and discharges, Oct. 1, 2011 through Jan. 31, 2012
** Other includes non-prejudical returns and other jurisdictions 30
6-month rate: 13% vs. 21%
12.8%
20.7%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
1 2 3 4 5 6 7 8 9 10 11 12
Months since release or discharge
Recidivsm - Return to Prison
RREC Cum. %
2005 Cohort, Cum. %
Comparing the recidivism rates for 2005 and RREC receivers, OPM tested what would happen if technical violations were not counted in the 2005 rate.
31
2005 recidivism w/o technical violations
12.8%
20.7%
14.3%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
1 2 3 4 5 6 7 8 9 10 11 12
Months since release or discharge
Recidivsm - Return to prison
RREC Cum. %
2005 Cohort, Cum. %
2005 Cohort - No TV, Cum. %
When technical violation were not added in, the 2005, 6-month recidivism rate for returns to prison dropped from 20.7% to 14.3%. Criminal violations in 2005 were still counted.
32
Nine month rates – 18% vs. 28%
33
20.7%
28.1%
12.8%
18.4%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
1 2 3 4 5 6 7 8 9 10 11 12
Months since release or discharge
Recidivism - Return to prison
2008 Cohort, Cum. %
2005 Cohort, Cum. %
RREC Cum % 9 month
0
20
40
60
80
100
120
140
05
-Oct-1
1
12
-Oct-1
1
19
-Oct-1
1
26
-Oct-1
1
02
-No
v-11
09
-No
v-11
16
-No
v-11
23
-No
v-11
30
-No
v-11
07
-De
c-11
14
-De
c-11
21
-De
c-11
28
-De
c-11
04
-Jan-1
2
11
-Jan-1
2
18
-Jan-1
2
25
-Jan-1
2
01
-Feb
-12
08
-Feb
-12
15
-Feb
-12
22
-Feb
-12
29
-Feb
-12
07
-Mar-1
2
14
-Mar-1
2
21
-Mar-1
2
28
-Mar-1
2
04
-Ap
r-12
11
-Ap
r-12
18
-Ap
r-12
25
-Ap
r-12
02
-May-12
09
-May-12
16
-May-12
23
-May-12
30
-May-12
06
-Jun
-12
13
-Jun
-12
20
-Jun
-12
27
-Jun
-12
04
-Jul-1
2
11
-Jul-1
2
18
-Jul-1
2
25
-Jul-1
2
01
-Au
g-12
08
-Au
g-12
15
-Au
g-12
22
-Au
g-12
29
-Au
g-12
05
-Sep
-12
FACILITY COMM
Nine months
Nine months
Summary of the analysis
6-month recidivism rates for offenders discharged with RREC were significantly lower than the rates for offenders discharged during 2005 and 2008.
The difference in rates appears to be largely accounted for by the drop in the number of returns-to-prison for technical violations.
When technical violations were removed – the recidivism rates for both 2005 and 2008 cohorts declined to the near the level of RREC offenders.
34
35
Sentence Credits: The Historical Perspective
Connecticut’s sentencing structure has evolved greatly over the past three decades.
Currently, sentencing credits are more restrictive than at any time that these credits have been available.
36
Connecticut’s prison population 1973-2012
0
5000
10000
15000
20000
25000
19
73
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
prison population
Indeterminate sentencing,to 10/1976
Determinate sentencing,from 7/1981
Definite,Indefinite &
Indeterminate sentencing
7/1983 – 10/1994
10 days per month
for first 5 years. 12
days for sixth and
subsequent years.
10/1976 – 7/198110 days per month for first 5 years. 15 days for sixth and subsequent years
Prior to 10/1976
60 days for first 5 years.
90 days for sixth and
subsequent7/1981 – 7/198310 days per month for first 5 years. 12 days for sixth and subsequent years
7/2011
5 days
per month
Between 10/1975 and 10/1994, offenders also earned good time credit for pre-trial incarceration.
37
Connecticut’s prison population 1973-2012
0
5000
10000
15000
20000
25000
19
73
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
prison population
Violent crimes in CT
Indeterminate sentencing,to 10/1976
Determinate sentencing,from 7/1981
Definite,Indefinite &
Indeterminate sentencing
7/1983 – 10/1994
10 days per month
for first 5 years. 12
days for sixth and
subsequent years.
10/1976 – 7/198110 days per month for first 5 years. 15 days for sixth and subsequent years
Prior to 10/1976
60 days for first 5 years.
90 days for sixth and
subsequent7/1981 – 7/198310 days per month for first 5 years. 12 days for sixth and subsequent years
7/2011
5 days
per month
Between 10/1975 and 10/1994, offenders also earned good time credit for pre-trial incarceration.
38
Incentives and disincentives
Inmate-on-inmate assaults declined by 11% from FY 10-11 to FY11-12.
Disciplinary reports declined by 6% during the same period.
Anecdotal evidence indicates that program participation is up significantly and programs waiting lists have been reduced.
39
RREC – The Details (1)
The Risk Reduction Earned Credit (RREC) was implemented in accordance with Public Act 11-51.
Purpose: to provide an incentive for sentenced offenders to act in accordance with Department rules, and participate in programming that will reduce
the likelihood of re-offense. The Commissioner of Correction is authorized to
award up to five days per month credit for good behavior combined with adherence to rehabilitative programming recommendations.
40
RREC – The Details (2)
Only inmates sentenced to a crime committed on or after October 1, 1994 are eligible to earn RREC. Accused prisoners may not earn RREC regardless of whether they accrue Jail Credit.
An inmate shall not earn credit, and may forfeit any or all credit earned (or credit that might be earned in the future), for: institutional misconduct refusing needed programming refusing to provide DNA being on escape or absconder status, or placement on a restrictive status.
41
RREC – The Details (3)
The maximum amount of days earned per month is five. Thus, the maximum number of days that can be earned for a year is 52.
Inmates convicted of the following crimes are not eligible to receive RREC: 53a-54a – Murder 53a-54b – Capital Felony 53a-54c – Felony Murder 53a-54d – Arson Murder 53a-70a – Sexual Assault, First Degree with a
Firearm 53a-100aa – Home Invasion
42
RREC – The Details (4)
RREC shall not reduce the mandatory portion of a sentence. There are more than 60 criminal statutes that carry mandatory minimums of this type in Connecticut.
Inmates earn credit on each separate sentence; however, an aggregate sentence will be reduced by no more than five days per month.
43
RREC – The Details (5)
Retroactive credit at the rate of 5 days per month may have been applied if an inmate was serving a continuous sentence from April 1, 2006 or later through October 1, 2011 and met the conduct and programmatic criteria outlined above. By statute, the Department of Correction had until June 30, 2012 to complete the implementation of retroactive credit.
Credits that are forfeited due to a disciplinary finding may be restored after a prolonged period of good behavior and program participation.
44
RREC – Implementation (1)
The Department implemented the RREC program in October, 2011 and had until June 30, 2012 to complete implementation, including application of retroactive credits as authorized by the Public Act.
Application of retroactive credit within the implementation period was prioritized, with the lowest level offenders evaluated first and the highest level offenders last.
45
RREC – Implementation (2)
Approximately 4000 manual reviews for application of retroactive credit were completed.
Implementation presented considerable logistical challenges which were compounded by an antiquated information system and the fact that our central inmate records remain paper- based.
For example, because the Department’s computer system cannot docket full statute numbers, DOC staff had to manually review about 9,500 files to determine which sentences met mandatory-sentence criteria.
46
RREC – Implementation (3)
To accomplish the implementation in the given time frame, the Department diverted resources at the Correctional Counselor and Records ID Specialist levels and utilized overtime.
In order to increase the number of class sessions available and reduce inmate waitlists for recommended programs, the Department utilized overtime, generally on second shift, and redeployed resources from two correctional facilities that closed. This practice has reduced waitlists substantially.
47
RREC – Implementation (4)
The Department is establishing a Discharge Review Board that will: Review all inmates discharging from facilities
two weeks before discharge. Ensure all credit has been applied correctly. Ensure all programs have been accurately
credited. Ensure all non-compliance and disciplinary
action has resulted in appropriate penalties Review relevant victim impact information and
suspend or reduce credit as appropriate.
48
RREC – Implementation (5)
The Department is establishing a Discharge Review Board that will: Ensure that dangerous offenders who are not
in compliance with an Offender Accountability Plan, or who present a continued threat to public safety, receive negative RREC adjustments.
Integrate the new state-of the-art risk assessment tools (SCORES) into the discharge review process.