1 00:00:00,560 --> 00:00:05,920 the full preamble but the recording is 2 00:00:03,120 --> 00:00:08,639 is in progress so it's being hosted by 3 00:00:05,920 --> 00:00:10,080 the national re-entry resource center 4 00:00:08,639 --> 00:00:13,040 and by joining this meeting you've 5 00:00:10,080 --> 00:00:14,559 consented to such recordings and any 6 00:00:13,040 --> 00:00:16,640 participant who prefers to participate 7 00:00:14,559 --> 00:00:18,560 via audio and you should disable the 8 00:00:16,640 --> 00:00:19,600 video camera so only the audio will be 9 00:00:18,560 --> 00:00:21,359 captured 10 00:00:19,600 --> 00:00:22,880 and then video and or audio recordings 11 00:00:21,359 --> 00:00:24,640 of any air session shall not be 12 00:00:22,880 --> 00:00:27,279 transmitted to an external party without 13 00:00:24,640 --> 00:00:30,320 the permission of AIR so we are hoping 14 00:00:27,279 --> 00:00:33,200 to take this recording and make it 15 00:00:30,320 --> 00:00:34,559 available after the session for 16 00:00:33,200 --> 00:00:36,160 those who couldn’t attend and 17 00:00:34,559 --> 00:00:37,120 then also for people to be able to check 18 00:00:36,160 --> 00:00:39,120 back in 19 00:00:37,120 --> 00:00:41,520 there's a lot of content that we're 20 00:00:39,120 --> 00:00:42,559 looking forward to sharing and a lot of 21 00:00:41,520 --> 00:00:45,200 22 00:00:42,559 --> 00:00:48,239 interesting information and access to 23 00:00:45,200 --> 00:00:50,320 new data tools that that we are glad to 24 00:00:48,239 --> 00:00:51,440 have the opportunity to share so thanks 25 00:00:50,320 --> 00:00:52,800 very much if you want to go to the next 26 00:00:51,440 --> 00:00:55,440 slide 27 00:00:52,800 --> 00:00:57,600 so again my name is Rich Kluckow with 28 00:00:55,440 --> 00:00:59,440 the Bureau of Justice Statistics in the 29 00:00:57,600 --> 00:01:01,359 corrections statistics unit 30 00:00:59,440 --> 00:01:03,520 and we are thrilled to be part of Second 31 00:01:01,359 --> 00:01:05,199 Chance Month which is in April this 32 00:01:03,520 --> 00:01:07,439 year and 33 00:01:05,199 --> 00:01:10,799 BJS is a 34 00:01:07,439 --> 00:01:12,880 an agency within OJP of which BJA the 35 00:01:10,799 --> 00:01:15,200 Bureau of Justice Assistance is a sister 36 00:01:12,880 --> 00:01:16,880 agency who helped individuals 37 00:01:15,200 --> 00:01:17,920 communities and agencies across the 38 00:01:16,880 --> 00:01:20,400 country 39 00:01:17,920 --> 00:01:22,640 to recognize the importance of re-entry 40 00:01:20,400 --> 00:01:25,640 and their role in building second 41 00:01:22,640 --> 00:01:25,640 chances 42 00:01:26,000 --> 00:01:29,280 if you are 43 00:01:27,920 --> 00:01:31,119 interested in 44 00:01:29,280 --> 00:01:33,200 staying up to date on everything that's 45 00:01:31,119 --> 00:01:36,400 going on this month and there's a 46 00:01:33,200 --> 00:01:39,439 very full calendar of excellent 47 00:01:36,400 --> 00:01:43,439 activities and presentations you can 48 00:01:39,439 --> 00:01:45,840 also stay tuned using the hashtags 49 00:01:43,439 --> 00:01:48,320 below reentry matters second chance 50 00:01:45,840 --> 00:01:49,520 month and second chance month 22 51 00:01:48,320 --> 00:01:51,759 if you 52 00:01:49,520 --> 00:01:53,759 tweet anything and want to 53 00:01:51,759 --> 00:01:56,799 tag it as such so that others can be 54 00:01:53,759 --> 00:01:59,200 involved and hear your responses and 55 00:01:56,799 --> 00:02:02,079 kick start that conversation please 56 00:01:59,200 --> 00:02:02,079 go ahead and do that 57 00:02:02,159 --> 00:02:05,600 so 58 00:02:03,119 --> 00:02:06,840 I am thrilled to get to 59 00:02:05,600 --> 00:02:08,399 present 60 00:02:06,840 --> 00:02:10,160 61 00:02:08,399 --> 00:02:12,879 the presenters of 62 00:02:10,160 --> 00:02:14,720 of our session today all 63 00:02:12,879 --> 00:02:16,959 statisticians at the Bureau of Justice 64 00:02:14,720 --> 00:02:19,440 Statistics working across a number of 65 00:02:16,959 --> 00:02:21,760 different units but all 66 00:02:19,440 --> 00:02:23,040 working under this rubric of re-entry 67 00:02:21,760 --> 00:02:24,239 recidivism 68 00:02:23,040 --> 00:02:26,319 and 69 00:02:24,239 --> 00:02:29,280 second chances so we have 70 00:02:26,319 --> 00:02:32,000 Leonardo Antenangeli a statistician 71 00:02:29,280 --> 00:02:37,160 we have Ann Carson statistician 72 00:02:32,000 --> 00:02:37,160 Matt Durose and Danielle Kaeble 73 00:02:38,400 --> 00:02:43,200 so the agenda for today we are going to 74 00:02:41,120 --> 00:02:45,519 cover a wide range of different 75 00:02:43,200 --> 00:02:47,920 topics and 76 00:02:45,519 --> 00:02:50,239 work that we are engaged in, the first 77 00:02:47,920 --> 00:02:52,239 will be to present findings from 78 00:02:50,239 --> 00:02:54,720 recidivism studies 79 00:02:52,239 --> 00:02:58,640 of persons who are released from state 80 00:02:54,720 --> 00:03:01,440 prison in 2008 and 2012 the two cohorts 81 00:02:58,640 --> 00:03:05,120 tracked over a very a long 82 00:03:01,440 --> 00:03:07,599 time window to be able to see 83 00:03:05,120 --> 00:03:10,000 their outcomes and assistance 84 00:03:07,599 --> 00:03:12,319 and 85 00:03:10,000 --> 00:03:15,760 how they fared about the being released 86 00:03:12,319 --> 00:03:17,599 from state prison second, we will discuss 87 00:03:15,760 --> 00:03:19,519 a report on 88 00:03:17,599 --> 00:03:21,599 employment of persons who were released 89 00:03:19,519 --> 00:03:23,760 from federal prison in 2010 90 00:03:21,599 --> 00:03:25,840 and this was a very interesting 91 00:03:23,760 --> 00:03:28,799 data linkage exercise where 92 00:03:25,840 --> 00:03:29,920 we were able to connect data across the 93 00:03:28,799 --> 00:03:32,080 various 94 00:03:29,920 --> 00:03:35,760 entities and be able to provide a 95 00:03:32,080 --> 00:03:36,400 really interesting in-depth analysis 96 00:03:35,760 --> 00:03:38,400 of 97 00:03:36,400 --> 00:03:40,239 of the post-incarceration employment 98 00:03:38,400 --> 00:03:41,760 club for people who released from 99 00:03:40,239 --> 00:03:44,080 federal prison 100 00:03:41,760 --> 00:03:46,959 and finally, we'll round it out 101 00:03:44,080 --> 00:03:49,200 with a demonstration of a new correction 102 00:03:46,959 --> 00:03:52,720 statistical analysis tool that we're 103 00:03:49,200 --> 00:03:54,000 really excited about at BJS that allows 104 00:03:52,720 --> 00:03:56,400 for 105 00:03:54,000 --> 00:03:57,840 for researchers and practitioners and 106 00:03:56,400 --> 00:04:00,480 stakeholders and people who are 107 00:03:57,840 --> 00:04:01,680 interested to be able to see a whole 108 00:04:00,480 --> 00:04:04,879 range of different 109 00:04:01,680 --> 00:04:07,680 really important demographic indicators 110 00:04:04,879 --> 00:04:09,680 and other types of 111 00:04:07,680 --> 00:04:12,159 information about people who 112 00:04:09,680 --> 00:04:14,480 released from prison and 113 00:04:12,159 --> 00:04:16,639 so, we're looking forward to 114 00:04:14,480 --> 00:04:19,519 presenting all of those to you so 115 00:04:16,639 --> 00:04:21,519 just as a as a reminder if you if you do 116 00:04:19,519 --> 00:04:22,320 have your microphone on if you wouldn't 117 00:04:21,519 --> 00:04:24,240 mind 118 00:04:22,320 --> 00:04:26,320 putting that to mute well we're 119 00:04:24,240 --> 00:04:28,479 presenting and that would help 120 00:04:26,320 --> 00:04:30,960 just to keep the airwaves 121 00:04:28,479 --> 00:04:33,440 clear so take a quick look at your phone 122 00:04:30,960 --> 00:04:34,880 if you if you've got it off commute 123 00:04:33,440 --> 00:04:37,199 drop it on these and that'll 124 00:04:34,880 --> 00:04:38,400 help it to be easier for everyone to 125 00:04:37,199 --> 00:04:40,840 hear 126 00:04:38,400 --> 00:04:43,280 if you have any questions during the 127 00:04:40,840 --> 00:04:45,120 presentation if you look at the bottom 128 00:04:43,280 --> 00:04:46,960 right of your screen there's a panel 129 00:04:45,120 --> 00:04:49,280 options with three dots 130 00:04:46,960 --> 00:04:50,880 if you click on that it opens a q a 131 00:04:49,280 --> 00:04:52,720 and that would be a great place for you 132 00:04:50,880 --> 00:04:53,520 to put information 133 00:04:52,720 --> 00:04:56,160 134 00:04:53,520 --> 00:04:58,160 and to ask questions and we will come to 135 00:04:56,160 --> 00:05:00,000 those at the end of the session 136 00:04:58,160 --> 00:05:02,639 137 00:05:00,000 --> 00:05:05,120 carol I think carol I think your your 138 00:05:02,639 --> 00:05:06,240 your mic is live you might want to eat 139 00:05:05,120 --> 00:05:08,400 on there 140 00:05:06,240 --> 00:05:11,120 and so, if you drop them into that that'd 141 00:05:08,400 --> 00:05:13,919 be perfect or you can also chat in 142 00:05:11,120 --> 00:05:17,440 the window too and Felice 143 00:05:13,919 --> 00:05:19,440 and I will be able to connect and 144 00:05:17,440 --> 00:05:20,960 we will hope to answer those questions 145 00:05:19,440 --> 00:05:22,720 at the end so 146 00:05:20,960 --> 00:05:24,800 with all that thank you again for being 147 00:05:22,720 --> 00:05:27,600 here and it's like 148 00:05:24,800 --> 00:05:29,360 turn it over to Matt Durose to kick us 149 00:05:27,600 --> 00:05:31,280 off 150 00:05:29,360 --> 00:05:33,600 thank you rich and thanks to 151 00:05:31,280 --> 00:05:35,440 everybody for joining us today 152 00:05:33,600 --> 00:05:37,440 as rich mentioned during the first 153 00:05:35,440 --> 00:05:39,840 presentation we'll be discussing 154 00:05:37,440 --> 00:05:42,000 findings from two recent bureau of 155 00:05:39,840 --> 00:05:43,919 justice statistics studies on the 156 00:05:42,000 --> 00:05:45,759 recidivism of persons released from 157 00:05:43,919 --> 00:05:47,280 state prison 158 00:05:45,759 --> 00:05:49,199 these findings provide a unique 159 00:05:47,280 --> 00:05:51,199 opportunity to examine recidivism at the 160 00:05:49,199 --> 00:05:53,360 national level 161 00:05:51,199 --> 00:05:55,600 I will first be discussing 162 00:05:53,360 --> 00:05:59,039 how recidivism was measured and the 163 00:05:55,600 --> 00:06:00,880 method used for conducting the research 164 00:05:59,039 --> 00:06:02,960 my colleague will then discuss key 165 00:06:00,880 --> 00:06:05,039 findings from these studies 166 00:06:02,960 --> 00:06:06,880 and how the most recent recidivism rates 167 00:06:05,039 --> 00:06:08,800 compared to those from previous BJS 168 00:06:06,880 --> 00:06:11,039 studies 169 00:06:08,800 --> 00:06:13,600 since the mid-1980s 170 00:06:11,039 --> 00:06:15,120 BJS recidivism studies have been a 171 00:06:13,600 --> 00:06:17,120 primary source of national level 172 00:06:15,120 --> 00:06:18,720 recidivism statistics 173 00:06:17,120 --> 00:06:22,000 and the recent studies provide new 174 00:06:18,720 --> 00:06:23,520 insight on this very important topic 175 00:06:22,000 --> 00:06:26,000 the first study will be discussing the 176 00:06:23,520 --> 00:06:28,000 days on prisoners released in 2012 with 177 00:06:26,000 --> 00:06:29,919 a five-year follow-up period 178 00:06:28,000 --> 00:06:32,880 it was based on the largest sample for a 179 00:06:29,919 --> 00:06:34,479 BJS recidivism study to date 180 00:06:32,880 --> 00:06:36,000 the second study 181 00:06:34,479 --> 00:06:38,560 looks at persons released from state 182 00:06:36,000 --> 00:06:40,240 prison in 2008 with a 10-year follow-up 183 00:06:38,560 --> 00:06:44,520 period the longest follow-up period for 184 00:06:40,240 --> 00:06:44,520 a BJS recidivism study 185 00:06:50,560 --> 00:06:56,000 so recidivism can be and is defined and 186 00:06:53,360 --> 00:06:59,120 measured different ways 187 00:06:56,000 --> 00:07:01,280 for BJS’s recidivism studies 188 00:06:59,120 --> 00:07:04,479 there's been a primary use of three 189 00:07:01,280 --> 00:07:08,199 measures including an arrest conviction 190 00:07:04,479 --> 00:07:08,199 or return to prison 191 00:07:16,160 --> 00:07:21,120 so, recidivism measure or definition 192 00:07:18,880 --> 00:07:23,280 needs to have three common traits a 193 00:07:21,120 --> 00:07:25,840 starting event such as being placed on 194 00:07:23,280 --> 00:07:28,160 probation or being released from prison 195 00:07:25,840 --> 00:07:30,960 an outcome measure such as a subsequent 196 00:07:28,160 --> 00:07:32,560 conviction or return to prison 197 00:07:30,960 --> 00:07:34,720 and the third trade is a follow-up 198 00:07:32,560 --> 00:07:36,800 period from the date of the start event 199 00:07:34,720 --> 00:07:39,800 to a predefined end date such as three 200 00:07:36,800 --> 00:07:39,800 years 201 00:07:47,440 --> 00:07:51,520 so just to provide a little bit of an 202 00:07:49,120 --> 00:07:52,560 overview of the previous BJS recidivism 203 00:07:51,520 --> 00:07:55,919 studies 204 00:07:52,560 --> 00:07:58,560 BJS first recidivism study 205 00:07:55,919 --> 00:08:00,160 was conducted in the mid-80s looking at 206 00:07:58,560 --> 00:08:01,759 persons released from state prison in 207 00:08:00,160 --> 00:08:03,360 1983. 208 00:08:01,759 --> 00:08:04,960 it included a three-year follow-up 209 00:08:03,360 --> 00:08:07,520 period 210 00:08:04,960 --> 00:08:09,360 about 10 years later a new national 211 00:08:07,520 --> 00:08:11,879 recidivism study was conducted on 212 00:08:09,360 --> 00:08:14,639 persons released from state prisons in 213 00:08:11,879 --> 00:08:17,199 1994 which also included three 214 00:08:14,639 --> 00:08:19,199 three-year follow-up period 215 00:08:17,199 --> 00:08:20,960 the third national recidivism study was 216 00:08:19,199 --> 00:08:23,120 conducted on state prisoners released in 217 00:08:20,960 --> 00:08:24,879 2005. 218 00:08:23,120 --> 00:08:26,879 the study first included a five-year 219 00:08:24,879 --> 00:08:29,440 follow-up period but then further 220 00:08:26,879 --> 00:08:31,919 analysis was done to include a nine-year 221 00:08:29,440 --> 00:08:34,880 file period to provide new sites new 222 00:08:31,919 --> 00:08:37,360 insights on recidivism patterns 223 00:08:34,880 --> 00:08:39,279 and as I mentioned most recently BJS has 224 00:08:37,360 --> 00:08:41,839 conducted recidivism studies on state 225 00:08:39,279 --> 00:08:43,839 prisoners released in 2008 the 10-year 226 00:08:41,839 --> 00:08:48,519 follow-up period prisoners released in 227 00:08:43,839 --> 00:08:48,519 2012 with a five-year follow-up period 228 00:08:55,839 --> 00:08:59,279 BJS uses a combination of prisoner 229 00:08:57,760 --> 00:09:01,600 records and criminal history data to 230 00:08:59,279 --> 00:09:03,600 conduct its recidivism studies 231 00:09:01,600 --> 00:09:06,080 the prisoner's prisoner records provide 232 00:09:03,600 --> 00:09:08,640 data on prisoner’s date of release 233 00:09:06,080 --> 00:09:11,040 demographic characteristics commitment 234 00:09:08,640 --> 00:09:12,800 offense and sentence length 235 00:09:11,040 --> 00:09:14,959 the criminal history data includes 236 00:09:12,800 --> 00:09:16,800 information on arrest convictions and 237 00:09:14,959 --> 00:09:18,959 incarcerations both prior to and 238 00:09:16,800 --> 00:09:21,040 following the date of release 239 00:09:18,959 --> 00:09:22,880 the data also include events within and 240 00:09:21,040 --> 00:09:24,800 outside the state where the person was 241 00:09:22,880 --> 00:09:25,920 released from prison 242 00:09:24,800 --> 00:09:27,360 I’ll now go ahead and hand the 243 00:09:25,920 --> 00:09:30,000 presentation over to my colleague 244 00:09:27,360 --> 00:09:30,000 Leonardo 245 00:09:34,160 --> 00:09:38,959 thanks Matt so the first study I’m going 246 00:09:36,160 --> 00:09:43,760 to be discussing today is that a person 247 00:09:38,959 --> 00:09:44,640 is released from prison in 2012. 248 00:09:43,760 --> 00:09:46,959 249 00:09:44,640 --> 00:09:49,440 now this study in particular had 34 250 00:09:46,959 --> 00:09:51,680 states in the study and as matt 251 00:09:49,440 --> 00:09:53,600 mentioned this is the largest sample of 252 00:09:51,680 --> 00:09:55,440 prisoners to date 253 00:09:53,600 --> 00:09:57,279 these are the 34 states that were able 254 00:09:55,440 --> 00:09:59,360 to provide prison records needed to 255 00:09:57,279 --> 00:10:00,560 obtain the criminal history data on 256 00:09:59,360 --> 00:10:03,200 these people 257 00:10:00,560 --> 00:10:04,399 and these 34 states together accounted 258 00:10:03,200 --> 00:10:07,120 for 79 259 00:10:04,399 --> 00:10:09,600 of all prisoners released nationwide 260 00:10:07,120 --> 00:10:09,600 that year 261 00:10:09,920 --> 00:10:15,600 now among the more than 400 000 state 262 00:10:12,240 --> 00:10:17,839 prisoners released in 2012 89 of them 263 00:10:15,600 --> 00:10:19,440 were male and the remaining 11 264 00:10:17,839 --> 00:10:20,959 were female 265 00:10:19,440 --> 00:10:24,720 white prisoners accounted for the 266 00:10:20,959 --> 00:10:26,720 largest percentage of prisoners at 44 267 00:10:24,720 --> 00:10:29,920 followed by black prisoners at 36 268 00:10:26,720 --> 00:10:32,160 percent and Hispanics at 16 269 00:10:29,920 --> 00:10:34,480 American Indian and Alaska native and 270 00:10:32,160 --> 00:10:36,560 others accounted for 2 percent each and 271 00:10:34,480 --> 00:10:38,800 finally Asian native Hawaiian or other 272 00:10:36,560 --> 00:10:41,040 pacific islanders made up the remaining 273 00:10:38,800 --> 00:10:41,040 1 274 00:10:42,079 --> 00:10:48,480 half of the prisoners were ages 25 to 39 275 00:10:46,000 --> 00:10:50,800 at the time of release 276 00:10:48,480 --> 00:10:53,440 another approximately third of them were 277 00:10:50,800 --> 00:10:54,640 40 or older and the remaining were 24 or 278 00:10:53,440 --> 00:10:56,480 younger 279 00:10:54,640 --> 00:11:01,720 the median age at time of release in 280 00:10:56,480 --> 00:11:01,720 2012 was 33 years 281 00:11:02,880 --> 00:11:07,200 about one in four 282 00:11:05,440 --> 00:11:09,279 prisoners were serving time for a 283 00:11:07,200 --> 00:11:12,000 violent offense and an equal percentage 284 00:11:09,279 --> 00:11:14,720 were serving time for a property offense 285 00:11:12,000 --> 00:11:17,200 a few less or 26 were serving time for a 286 00:11:14,720 --> 00:11:19,200 drug offense and finally 19 287 00:11:17,200 --> 00:11:20,160 were serving time for a public order 288 00:11:19,200 --> 00:11:22,000 event 289 00:11:20,160 --> 00:11:23,839 now for prisoners serving time for more 290 00:11:22,000 --> 00:11:25,440 than one offense the one with the 291 00:11:23,839 --> 00:11:29,240 longest sentence length is the one 292 00:11:25,440 --> 00:11:29,240 that's reported here 293 00:11:31,440 --> 00:11:37,760 so, 43 of the prisoners had 10 or more 294 00:11:34,800 --> 00:11:40,000 prior arrests in their criminal history 295 00:11:37,760 --> 00:11:42,720 whereas 31 percent had five to nine and 296 00:11:40,000 --> 00:11:45,200 26 percent had four or fewer prior 297 00:11:42,720 --> 00:11:45,200 arrests 298 00:11:46,320 --> 00:11:50,320 so, this figure here shows three 299 00:11:48,000 --> 00:11:52,399 different measures of recidivism which 300 00:11:50,320 --> 00:11:53,600 matt alluded to earlier 301 00:11:52,399 --> 00:11:55,519 and we see here at the end of the 302 00:11:53,600 --> 00:11:56,800 five-year follow-up period 303 00:11:55,519 --> 00:11:59,920 71 304 00:11:56,800 --> 00:12:01,279 of persons released in 2012 had at least 305 00:11:59,920 --> 00:12:05,519 one arrest 306 00:12:01,279 --> 00:12:08,000 54 had a new conviction and 46 307 00:12:05,519 --> 00:12:10,639 had a parole or probation violation or a 308 00:12:08,000 --> 00:12:13,200 new sentence that led to a return to 309 00:12:10,639 --> 00:12:15,440 prison I’ll add a note here too that 310 00:12:13,200 --> 00:12:17,279 these figures include out-of-state 311 00:12:15,440 --> 00:12:19,279 information so it does include 312 00:12:17,279 --> 00:12:23,800 information for those who were arrested 313 00:12:19,279 --> 00:12:23,800 outside of the state that released them 314 00:12:24,000 --> 00:12:28,480 we see here also that younger persons 315 00:12:26,000 --> 00:12:30,639 were arrested at higher rates than their 316 00:12:28,480 --> 00:12:34,160 older counterparts following release in 317 00:12:30,639 --> 00:12:36,240 2012. so 81 of those who were age 24 or 318 00:12:34,160 --> 00:12:38,320 younger had an arrest at the end of the 319 00:12:36,240 --> 00:12:42,560 five-year follow-up period compared to 320 00:12:38,320 --> 00:12:46,160 74 who were 25 to 39 and 61 percent who 321 00:12:42,560 --> 00:12:46,160 were 40 or older 322 00:12:48,560 --> 00:12:52,240 similarly, those that had more prior 323 00:12:50,560 --> 00:12:54,320 arrests in their criminal histories were 324 00:12:52,240 --> 00:12:55,600 also re-arrested at higher rates and we 325 00:12:54,320 --> 00:12:57,279 see here at the end of the five-year 326 00:12:55,600 --> 00:12:58,800 follow-up period those with 10 or more 327 00:12:57,279 --> 00:13:01,120 prior arrests 328 00:12:58,800 --> 00:13:04,000 81 percent of those were re-arrested at 329 00:13:01,120 --> 00:13:08,160 the end of the period compared to 55 who 330 00:13:04,000 --> 00:13:08,160 had four or fewer prior arrests 331 00:13:11,360 --> 00:13:15,920 this study also examined types of 332 00:13:13,279 --> 00:13:18,399 offenses for which persons released in 333 00:13:15,920 --> 00:13:20,399 2012 were arrested 334 00:13:18,399 --> 00:13:23,279 during the follow-up period 335 00:13:20,399 --> 00:13:25,760 overall, 71 were arrested for any type of 336 00:13:23,279 --> 00:13:27,440 offense and this overall figure includes 337 00:13:25,760 --> 00:13:28,480 those who arrested for more than one 338 00:13:27,440 --> 00:13:30,160 type 339 00:13:28,480 --> 00:13:31,920 breaking it down into the four major 340 00:13:30,160 --> 00:13:33,440 offense categories you see that 28 341 00:13:31,920 --> 00:13:36,800 percent were arrested for violent 342 00:13:33,440 --> 00:13:39,279 offense 36 for property about a third 343 00:13:36,800 --> 00:13:42,560 for a drug and just over half for a 344 00:13:39,279 --> 00:13:42,560 public order offense 345 00:13:43,600 --> 00:13:47,440 now beyond some of these measures that 346 00:13:45,680 --> 00:13:49,920 we've discussed we also looked at 347 00:13:47,440 --> 00:13:52,240 recidivism from other perspectives for 348 00:13:49,920 --> 00:13:55,199 example about 10 of those persons 349 00:13:52,240 --> 00:13:56,959 released in 2012 were arrested within 350 00:13:55,199 --> 00:13:59,199 five years or within the five-year 351 00:13:56,959 --> 00:14:00,880 follow-up period outside of the state 352 00:13:59,199 --> 00:14:03,199 that released them 353 00:14:00,880 --> 00:14:05,600 there were there was an estimated 1.1 354 00:14:03,199 --> 00:14:06,959 million arrests during the five-year 355 00:14:05,600 --> 00:14:09,199 follow-up period 356 00:14:06,959 --> 00:14:12,320 among the more than 400 000 persons 357 00:14:09,199 --> 00:14:14,399 released in 2012. 358 00:14:12,320 --> 00:14:15,920 now the annual arrest percentage which 359 00:14:14,399 --> 00:14:18,000 looks at the percent of all persons 360 00:14:15,920 --> 00:14:19,680 released in 2012 who were arrested 361 00:14:18,000 --> 00:14:22,000 during a particular year in the 362 00:14:19,680 --> 00:14:23,199 five-year follow-up period declined from 363 00:14:22,000 --> 00:14:25,680 37 364 00:14:23,199 --> 00:14:28,399 in year one to 26 365 00:14:25,680 --> 00:14:30,240 in year five 366 00:14:28,399 --> 00:14:32,560 I’m going to turn now briefly to the 367 00:14:30,240 --> 00:14:34,560 second report that matt mentioned 368 00:14:32,560 --> 00:14:36,560 which looked at say prisoners released 369 00:14:34,560 --> 00:14:38,480 in 2008. 370 00:14:36,560 --> 00:14:40,720 so, this particular report had the 371 00:14:38,480 --> 00:14:42,560 longest follow-up period of any BJS 372 00:14:40,720 --> 00:14:45,600 recidivism study 373 00:14:42,560 --> 00:14:47,519 one which tracked them over 10 years 374 00:14:45,600 --> 00:14:51,600 and it looked at more than 400 000 375 00:14:47,519 --> 00:14:54,560 persons released in 24 states in 2008 376 00:14:51,600 --> 00:14:59,639 and these states accounted for 69 of all 377 00:14:54,560 --> 00:14:59,639 persons released nationwide that year 378 00:14:59,839 --> 00:15:04,880 so, you see here a graph from the 379 00:15:01,360 --> 00:15:06,560 previous study and as I mentioned 380 00:15:04,880 --> 00:15:09,680 looking at the annual rest percent we 381 00:15:06,560 --> 00:15:12,480 saw that it went from 37 in year one to 382 00:15:09,680 --> 00:15:14,800 26 in year five 383 00:15:12,480 --> 00:15:17,360 looking at the 2008 cohort we see a 384 00:15:14,800 --> 00:15:20,000 similar declining pattern between year 385 00:15:17,360 --> 00:15:21,760 one and year five and then continuing 386 00:15:20,000 --> 00:15:24,399 into the longer follow-up period we see 387 00:15:21,760 --> 00:15:27,120 that that pattern also continues 388 00:15:24,399 --> 00:15:29,199 so that by the year 10 the annual arrest 389 00:15:27,120 --> 00:15:31,519 rate was 22 390 00:15:29,199 --> 00:15:34,639 about half of what it was in year one at 391 00:15:31,519 --> 00:15:34,639 43 percent 392 00:15:36,800 --> 00:15:42,079 we also see that females had lower 393 00:15:39,279 --> 00:15:44,160 arrest rates than males for the entire 394 00:15:42,079 --> 00:15:46,320 10-year follow-up period 395 00:15:44,160 --> 00:15:48,160 now we have other 396 00:15:46,320 --> 00:15:50,240 information on the annual rest patterns 397 00:15:48,160 --> 00:15:52,240 broken down by different characteristics 398 00:15:50,240 --> 00:15:54,720 and those are available in this 2008 399 00:15:52,240 --> 00:15:58,000 release cohort report on the BJS website 400 00:15:54,720 --> 00:15:58,000 which is bgs.gov 401 00:15:58,320 --> 00:16:03,120 we just also conducted some analyses to 402 00:16:01,120 --> 00:16:04,480 look at how recidivism rates changed 403 00:16:03,120 --> 00:16:06,959 over time 404 00:16:04,480 --> 00:16:09,279 and to do this we looked at the rates in 405 00:16:06,959 --> 00:16:11,839 the among the 2012 release cohort and 406 00:16:09,279 --> 00:16:14,880 the 2008 cohort which I just discussed 407 00:16:11,839 --> 00:16:16,399 as well as a 2005 release cohort from a 408 00:16:14,880 --> 00:16:18,959 previous report 409 00:16:16,399 --> 00:16:21,279 now specifically we looked at or we 410 00:16:18,959 --> 00:16:23,279 focused these analyses on the 19 states 411 00:16:21,279 --> 00:16:26,639 that these three reports or these three 412 00:16:23,279 --> 00:16:28,480 cohorts had in common 413 00:16:26,639 --> 00:16:31,199 we see here among persons released in 414 00:16:28,480 --> 00:16:33,120 the 19 states the percentage arrested 415 00:16:31,199 --> 00:16:35,839 for any type of offense within five 416 00:16:33,120 --> 00:16:39,680 years following release declined from 77 417 00:16:35,839 --> 00:16:40,959 percent in 2005 down to 75 percent in 08 418 00:16:39,680 --> 00:16:44,000 and 71 419 00:16:40,959 --> 00:16:45,680 in 2012. 420 00:16:44,000 --> 00:16:47,759 however the percentage arrested within 421 00:16:45,680 --> 00:16:50,240 five years for a violent offense did not 422 00:16:47,759 --> 00:16:53,920 differ significantly we see here it was 423 00:16:50,240 --> 00:16:56,880 28 in 2005 and also 28 424 00:16:53,920 --> 00:16:58,639 in 2012. 425 00:16:56,880 --> 00:17:00,480 we have a few more comparisons between 426 00:16:58,639 --> 00:17:02,880 these three cohorts and those are 427 00:17:00,480 --> 00:17:05,319 available at the end of our 2012 release 428 00:17:02,880 --> 00:17:07,039 cohort report again on the website at 429 00:17:05,319 --> 00:17:10,880 BJS.gov 430 00:17:07,039 --> 00:17:10,880 so now I’ll turn things over to Ann 431 00:17:13,839 --> 00:17:16,880 thank you 432 00:17:15,919 --> 00:17:19,360 I 433 00:17:16,880 --> 00:17:21,919 apparently don't have 434 00:17:19,360 --> 00:17:24,319 my camera working so I’m going to just 435 00:17:21,919 --> 00:17:26,480 be some disembodied voice I’m going to 436 00:17:24,319 --> 00:17:28,160 talk today about 437 00:17:26,480 --> 00:17:31,280 employment of persons released from 438 00:17:28,160 --> 00:17:34,799 federal prison in 2010 439 00:17:31,280 --> 00:17:37,440 we published a report on this in just 440 00:17:34,799 --> 00:17:38,320 this past December and 441 00:17:37,440 --> 00:17:39,600 so 442 00:17:38,320 --> 00:17:40,960 there's a link 443 00:17:39,600 --> 00:17:42,080 444 00:17:40,960 --> 00:17:44,320 and 445 00:17:42,080 --> 00:17:45,919 we did this with the with members of the 446 00:17:44,320 --> 00:17:48,720 census bureau 447 00:17:45,919 --> 00:17:49,919 and I will explain why 448 00:17:48,720 --> 00:17:53,360 449 00:17:49,919 --> 00:17:55,120 we were actually mandated by congress to 450 00:17:53,360 --> 00:17:57,440 do a report 451 00:17:55,120 --> 00:18:00,000 in 2019 as part of the defense 452 00:17:57,440 --> 00:18:01,840 reauthorization act 453 00:18:00,000 --> 00:18:05,760 if you actually read through those laws 454 00:18:01,840 --> 00:18:07,520 they stick a lot of other things in 455 00:18:05,760 --> 00:18:09,760 that they know have to get passed and 456 00:18:07,520 --> 00:18:10,640 one of them was the fair chance for jobs 457 00:18:09,760 --> 00:18:12,240 act 458 00:18:10,640 --> 00:18:14,320 which 459 00:18:12,240 --> 00:18:16,960 basically, said that that federal 460 00:18:14,320 --> 00:18:18,320 employers may not 461 00:18:16,960 --> 00:18:21,200 462 00:18:18,320 --> 00:18:22,400 use a criminal record or criminal 463 00:18:21,200 --> 00:18:25,440 history 464 00:18:22,400 --> 00:18:27,600 at the very first part of considering 465 00:18:25,440 --> 00:18:29,120 someone for a job so they weren't 466 00:18:27,600 --> 00:18:31,280 allowed to use it then they could 467 00:18:29,120 --> 00:18:33,200 theoretically use it later on but it 468 00:18:31,280 --> 00:18:35,440 depended on the job 469 00:18:33,200 --> 00:18:37,520 we were required to report to 470 00:18:35,440 --> 00:18:38,410 congress about 471 00:18:37,520 --> 00:18:39,520 former 472 00:18:38,410 --> 00:18:43,120 [Music] 473 00:18:39,520 --> 00:18:45,200 people who had had been involved in 474 00:18:43,120 --> 00:18:48,720 criminal activity 475 00:18:45,200 --> 00:18:51,520 by December of 2021 so we just made it 476 00:18:48,720 --> 00:18:53,440 and then five years thereafter 477 00:18:51,520 --> 00:18:56,080 478 00:18:53,440 --> 00:18:58,320 we had to use external data sources to 479 00:18:56,080 --> 00:19:00,240 complete this report because BJS doesn't 480 00:18:58,320 --> 00:19:01,919 collect information 481 00:19:00,240 --> 00:19:05,520 on 482 00:19:01,919 --> 00:19:08,320 employment of people who are 483 00:19:05,520 --> 00:19:11,200 released from prisons or jails 484 00:19:08,320 --> 00:19:14,000 we did at one point have a survey of 485 00:19:11,200 --> 00:19:15,760 former prisoners but we have not done 486 00:19:14,000 --> 00:19:18,160 that in probably 487 00:19:15,760 --> 00:19:19,679 oh, I don't know 10 years 488 00:19:18,160 --> 00:19:22,720 so 489 00:19:19,679 --> 00:19:25,360 we were going to have to use external 490 00:19:22,720 --> 00:19:27,440 sources and so we started with the 491 00:19:25,360 --> 00:19:30,080 prison records and we got an agreement 492 00:19:27,440 --> 00:19:31,919 with the bureau of prisons to 493 00:19:30,080 --> 00:19:33,760 take the people who were released in 494 00:19:31,919 --> 00:19:34,880 2010 495 00:19:33,760 --> 00:19:38,720 and then 496 00:19:34,880 --> 00:19:44,160 link those records to employment data 497 00:19:38,720 --> 00:19:44,160 that was housed at the U.S. Census Bureau 498 00:19:44,240 --> 00:19:49,440 and that data is known as the 499 00:19:46,559 --> 00:19:50,720 longitudinal employer household dynamics 500 00:19:49,440 --> 00:19:51,600 which 501 00:19:50,720 --> 00:19:53,760 yeah 502 00:19:51,600 --> 00:19:54,799 I just say LEHD because it's a lot 503 00:19:53,760 --> 00:19:57,919 easier 504 00:19:54,799 --> 00:20:00,559 it consists of data from 505 00:19:57,919 --> 00:20:02,480 state unemployment insurance earnings 506 00:20:00,559 --> 00:20:04,960 and there's a survey that they do called 507 00:20:02,480 --> 00:20:06,400 the quarterly census of employment and 508 00:20:04,960 --> 00:20:07,200 wages 509 00:20:06,400 --> 00:20:08,960 so 510 00:20:07,200 --> 00:20:11,919 basically, what the census bureau has 511 00:20:08,960 --> 00:20:14,799 done is these are state-level surveys 512 00:20:11,919 --> 00:20:17,440 and they spent 513 00:20:14,799 --> 00:20:20,880 probably 10 years and at least that many 514 00:20:17,440 --> 00:20:24,080 millions of dollars to 515 00:20:20,880 --> 00:20:26,240 get a system together so that they have 516 00:20:24,080 --> 00:20:27,360 data for all states 517 00:20:26,240 --> 00:20:30,720 and 518 00:20:27,360 --> 00:20:31,760 they can make that available to people 519 00:20:30,720 --> 00:20:35,120 to 520 00:20:31,760 --> 00:20:36,799 do linkage and study employment 521 00:20:35,120 --> 00:20:39,440 this is a 522 00:20:36,799 --> 00:20:42,080 this was sort of their first big 523 00:20:39,440 --> 00:20:45,039 combination of data linkage and they 524 00:20:42,080 --> 00:20:47,200 have you know gone on from there to all 525 00:20:45,039 --> 00:20:48,480 sorts of other data sources 526 00:20:47,200 --> 00:20:50,320 but 527 00:20:48,480 --> 00:20:52,400 this is a big one 528 00:20:50,320 --> 00:20:55,039 and the data provide employment and 529 00:20:52,400 --> 00:20:57,760 earnings information for all persons who 530 00:20:55,039 --> 00:21:00,000 earned at least one dollar in wages 531 00:20:57,760 --> 00:21:03,280 during a quarter and these are standard 532 00:21:00,000 --> 00:21:04,640 quarters so January to March and April 533 00:21:03,280 --> 00:21:06,400 to June 534 00:21:04,640 --> 00:21:07,760 etc. 535 00:21:06,400 --> 00:21:09,520 now 536 00:21:07,760 --> 00:21:12,080 you would hope you'd earn more than a 537 00:21:09,520 --> 00:21:14,840 dollar for three months 538 00:21:12,080 --> 00:21:18,240 but that is sort of 539 00:21:14,840 --> 00:21:20,480 the base level that we're looking at 540 00:21:18,240 --> 00:21:20,480 541 00:21:21,200 --> 00:21:26,320 basically what we're doing is we're 542 00:21:23,520 --> 00:21:28,799 saying if we can't find you in these 543 00:21:26,320 --> 00:21:30,799 data then you were not employed during 544 00:21:28,799 --> 00:21:33,679 that quarter and 545 00:21:30,799 --> 00:21:36,240 they have demonstrated that in fact 546 00:21:33,679 --> 00:21:38,400 that is the case that these people 547 00:21:36,240 --> 00:21:40,559 are not working if they are not in 548 00:21:38,400 --> 00:21:43,039 the LEHD data 549 00:21:40,559 --> 00:21:45,600 so we have it for all 50 states from 550 00:21:43,039 --> 00:21:47,919 2000 forward 551 00:21:45,600 --> 00:21:47,919 and 552 00:21:48,320 --> 00:21:52,720 they the data includes dates of 553 00:21:50,799 --> 00:21:55,120 employment and earnings per court 554 00:21:52,720 --> 00:21:56,559 earnings per quarter and then employment 555 00:21:55,120 --> 00:22:00,000 sector 556 00:21:56,559 --> 00:22:01,600 we chose a 2010 release cohort 557 00:22:00,000 --> 00:22:04,960 because the 558 00:22:01,600 --> 00:22:07,919 most recent employment data that census 559 00:22:04,960 --> 00:22:10,880 had was 2015 and we wanted to be able to 560 00:22:07,919 --> 00:22:12,640 follow people for several years 561 00:22:10,880 --> 00:22:15,679 so we took people who were released in 562 00:22:12,640 --> 00:22:16,960 in 2010 and 563 00:22:15,679 --> 00:22:19,440 564 00:22:16,960 --> 00:22:22,240 I first want to go over a couple just 565 00:22:19,440 --> 00:22:24,559 quickly characteristics of federal and 566 00:22:22,240 --> 00:22:25,840 state prisoners because they are 567 00:22:24,559 --> 00:22:29,200 very different 568 00:22:25,840 --> 00:22:29,200 populations and 569 00:22:29,360 --> 00:22:33,440 it's important to understand these 570 00:22:31,039 --> 00:22:35,280 differences in order to 571 00:22:33,440 --> 00:22:36,960 see how outcomes may be different in 572 00:22:35,280 --> 00:22:38,559 terms of employment 573 00:22:36,960 --> 00:22:41,280 so this is the 574 00:22:38,559 --> 00:22:42,080 age distribution of federal prisoners 575 00:22:41,280 --> 00:22:46,080 and 576 00:22:42,080 --> 00:22:48,720 it doesn't look that different 577 00:22:46,080 --> 00:22:51,760 typically federal prisoners are one to 578 00:22:48,720 --> 00:22:53,200 one and a half years 579 00:22:51,760 --> 00:22:56,799 older 580 00:22:53,200 --> 00:22:59,520 as a median or about two years on 581 00:22:56,799 --> 00:23:00,960 average older than state prisoners so 582 00:22:59,520 --> 00:23:02,080 it's not huge 583 00:23:00,960 --> 00:23:03,440 but 584 00:23:02,080 --> 00:23:04,240 it can 585 00:23:03,440 --> 00:23:08,720 586 00:23:04,240 --> 00:23:10,640 it can manifest in a number of ways 587 00:23:08,720 --> 00:23:13,520 federal prisoners also tend to have 588 00:23:10,640 --> 00:23:14,240 higher levels of vegetation 589 00:23:13,520 --> 00:23:15,360 so 590 00:23:14,240 --> 00:23:18,000 that may 591 00:23:15,360 --> 00:23:19,440 that may actually 592 00:23:18,000 --> 00:23:21,200 cause 593 00:23:19,440 --> 00:23:23,440 you to have a better chance of getting a 594 00:23:21,200 --> 00:23:25,039 job theoretically 595 00:23:23,440 --> 00:23:27,039 596 00:23:25,039 --> 00:23:29,280 we can see that 597 00:23:27,039 --> 00:23:31,520 federal prisoners 598 00:23:29,280 --> 00:23:33,919 have a much lower percentage of 599 00:23:31,520 --> 00:23:38,480 non-Hispanic whites 600 00:23:33,919 --> 00:23:38,480 compared to state prisoners and 601 00:23:39,200 --> 00:23:44,400 a higher percentage of Hispanics and 602 00:23:41,679 --> 00:23:46,080 non-Hispanic blacks the real difference 603 00:23:44,400 --> 00:23:47,520 comes when you look at offense 604 00:23:46,080 --> 00:23:50,640 distribution 605 00:23:47,520 --> 00:23:52,400 so violent offenders are fairly rare 606 00:23:50,640 --> 00:23:54,400 in the federal system only about eight 607 00:23:52,400 --> 00:23:56,320 percent of people who are in federal 608 00:23:54,400 --> 00:23:58,640 prisons have been 609 00:23:56,320 --> 00:23:59,440 convicted of a violent offense 610 00:23:58,640 --> 00:24:01,760 and 611 00:23:59,440 --> 00:24:03,440 a lot of those are coming into the 612 00:24:01,760 --> 00:24:06,400 federal system from the district of 613 00:24:03,440 --> 00:24:08,559 Columbia which 614 00:24:06,400 --> 00:24:11,120 felons in dc 615 00:24:08,559 --> 00:24:14,559 go into the federal system 616 00:24:11,120 --> 00:24:16,880 you'll notice that the biggest pot for 617 00:24:14,559 --> 00:24:19,919 federal prisoners are drug crimes and 618 00:24:16,880 --> 00:24:22,080 these are 99.9 619 00:24:19,919 --> 00:24:26,400 are trafficking okay 620 00:24:22,080 --> 00:24:29,520 public order it's predominantly weapons 621 00:24:26,400 --> 00:24:30,840 but also some immigration 622 00:24:29,520 --> 00:24:34,480 623 00:24:30,840 --> 00:24:36,159 so obviously they're going to be 624 00:24:34,480 --> 00:24:37,279 different people 625 00:24:36,159 --> 00:24:39,360 626 00:24:37,279 --> 00:24:42,159 in the federal system than are in the 627 00:24:39,360 --> 00:24:45,640 state system where almost 60 are in for 628 00:24:42,159 --> 00:24:45,640 violent crime 629 00:24:46,080 --> 00:24:51,679 so we took our data of 630 00:24:49,279 --> 00:24:53,919 2010 peak 631 00:24:51,679 --> 00:24:58,559 release cohort 632 00:24:53,919 --> 00:24:58,559 and that was 73 500 people 633 00:24:58,720 --> 00:25:02,559 and first we had actually 634 00:25:01,039 --> 00:25:04,880 635 00:25:02,559 --> 00:25:06,799 we first had to actually 636 00:25:04,880 --> 00:25:09,520 link these people and give them an 637 00:25:06,799 --> 00:25:12,799 identification number and we could only 638 00:25:09,520 --> 00:25:14,480 do that with about 70 percent or about 639 00:25:12,799 --> 00:25:15,760 51 000 640 00:25:14,480 --> 00:25:18,880 persons 641 00:25:15,760 --> 00:25:22,320 and we had to ask why well 642 00:25:18,880 --> 00:25:24,799 the linkage for identification is 643 00:25:22,320 --> 00:25:26,640 based on social security number 644 00:25:24,799 --> 00:25:28,960 okay and 645 00:25:26,640 --> 00:25:31,360 646 00:25:28,960 --> 00:25:34,159 of the 22 000 people who were released 647 00:25:31,360 --> 00:25:36,799 from the bop in 2010 who couldn't be 648 00:25:34,159 --> 00:25:40,320 assigned a linking identification number 649 00:25:36,799 --> 00:25:43,200 almost 98 percent were non-us citizens 650 00:25:40,320 --> 00:25:45,760 so they probably didn't have a social 651 00:25:43,200 --> 00:25:48,159 security number okay so if they're 652 00:25:45,760 --> 00:25:50,400 not in the social security system we're 653 00:25:48,159 --> 00:25:53,200 not gonna be able to assign an id 654 00:25:50,400 --> 00:25:54,960 and therefore we can't link it to the 655 00:25:53,200 --> 00:25:56,400 employment records 656 00:25:54,960 --> 00:25:57,279 657 00:25:56,400 --> 00:25:58,559 so 658 00:25:57,279 --> 00:26:01,679 we're 659 00:25:58,559 --> 00:26:03,840 certain that the reason that we had you 660 00:26:01,679 --> 00:26:06,080 know this poor match rate 661 00:26:03,840 --> 00:26:08,480 set by poor match rate 70 662 00:26:06,080 --> 00:26:10,480 was that you know we were dealing with a 663 00:26:08,480 --> 00:26:13,679 population that had a large number of 664 00:26:10,480 --> 00:26:13,679 non-us citizens 665 00:26:13,760 --> 00:26:19,520 okay so we've linked our data and 666 00:26:17,200 --> 00:26:22,480 we have or we've identified our people 667 00:26:19,520 --> 00:26:25,200 and we have linked them to 668 00:26:22,480 --> 00:26:27,840 employment records now I said that 669 00:26:25,200 --> 00:26:28,880 we're looking at quarters 670 00:26:27,840 --> 00:26:30,080 and 671 00:26:28,880 --> 00:26:32,159 we're looking at people who were 672 00:26:30,080 --> 00:26:33,520 released during one of the quarters in 673 00:26:32,159 --> 00:26:35,279 2010. 674 00:26:33,520 --> 00:26:36,799 okay 675 00:26:35,279 --> 00:26:38,840 we didn't just say 676 00:26:36,799 --> 00:26:40,400 we followed everybody through 677 00:26:38,840 --> 00:26:42,080 2014. 678 00:26:40,400 --> 00:26:44,159 okay because you may have been released 679 00:26:42,080 --> 00:26:46,080 in January while someone else is 680 00:26:44,159 --> 00:26:48,080 released in March 681 00:26:46,080 --> 00:26:51,120 and somebody else is released in 682 00:26:48,080 --> 00:26:52,559 December of 2010. what we did was we 683 00:26:51,120 --> 00:26:53,520 actually 684 00:26:52,559 --> 00:26:55,200 took 685 00:26:53,520 --> 00:26:57,440 the quarter you were released in and 686 00:26:55,200 --> 00:27:00,000 that was called a free quarter okay so 687 00:26:57,440 --> 00:27:02,880 you could theoretically get a job during 688 00:27:00,000 --> 00:27:05,360 that quarter but that was the quarter 689 00:27:02,880 --> 00:27:08,640 after release it wasn't your first full 690 00:27:05,360 --> 00:27:12,240 quarter of eligibility we followed you 691 00:27:08,640 --> 00:27:13,919 for 16 quarters okay now that may have 692 00:27:12,240 --> 00:27:16,640 been in 693 00:27:13,919 --> 00:27:19,360 January of 2014 or 694 00:27:16,640 --> 00:27:21,120 December of 2014 when you ended okay 695 00:27:19,360 --> 00:27:23,919 just all dependent on when you got 696 00:27:21,120 --> 00:27:26,960 released and so 697 00:27:23,919 --> 00:27:29,520 everyone got a full 16 quarters of 698 00:27:26,960 --> 00:27:29,520 follow-up 699 00:27:30,720 --> 00:27:37,039 and so let's look at what we found like 700 00:27:33,360 --> 00:27:38,799 I said there were 51 000 500 people 701 00:27:37,039 --> 00:27:41,679 that we were able to 702 00:27:38,799 --> 00:27:45,760 identify and link 703 00:27:41,679 --> 00:27:45,760 the vast majority obviously are males 704 00:27:45,919 --> 00:27:51,840 this measures the percent ever employed 705 00:27:48,880 --> 00:27:53,039 so at some point during those 16 706 00:27:51,840 --> 00:27:55,520 quarters 707 00:27:53,039 --> 00:27:57,440 even if it was just for a day 708 00:27:55,520 --> 00:27:59,919 67 percent 709 00:27:57,440 --> 00:28:02,240 were employed okay 710 00:27:59,919 --> 00:28:04,960 that basically means that 33 711 00:28:02,240 --> 00:28:08,559 we’re not employed even one day in the 712 00:28:04,960 --> 00:28:09,760 four years after the quarter of release 713 00:28:08,559 --> 00:28:12,159 714 00:28:09,760 --> 00:28:13,039 males have a slightly lower 715 00:28:12,159 --> 00:28:15,919 716 00:28:13,039 --> 00:28:17,679 employment percentage than then did 717 00:28:15,919 --> 00:28:19,679 females 718 00:28:17,679 --> 00:28:22,320 now remember we're looking at 16 719 00:28:19,679 --> 00:28:24,640 quarters and now this looks at the 720 00:28:22,320 --> 00:28:27,440 mean number of quarters employed and 721 00:28:24,640 --> 00:28:30,799 it's basically nine which you know it's 722 00:28:27,440 --> 00:28:33,919 more than half of the four years 723 00:28:30,799 --> 00:28:33,919 that we're doing follow-up 724 00:28:34,399 --> 00:28:39,919 the most interesting statistic for me 725 00:28:36,720 --> 00:28:42,320 was mean time to first employment okay 726 00:28:39,919 --> 00:28:46,080 so how long does it take before once you 727 00:28:42,320 --> 00:28:47,600 get out of prison to get a new job 728 00:28:46,080 --> 00:28:50,320 and it's 729 00:28:47,600 --> 00:28:52,159 typically around two quarters to a 730 00:28:50,320 --> 00:28:54,640 little bit more 731 00:28:52,159 --> 00:28:56,799 so half a year 732 00:28:54,640 --> 00:29:00,159 to find employment 733 00:28:56,799 --> 00:29:01,200 the mean longest consistent employment 734 00:29:00,159 --> 00:29:04,399 735 00:29:01,200 --> 00:29:07,600 it's about eight quarters okay so 736 00:29:04,399 --> 00:29:08,640 that suggests that at least for 737 00:29:07,600 --> 00:29:11,279 for 738 00:29:08,640 --> 00:29:12,960 the majority of people who are working 739 00:29:11,279 --> 00:29:15,279 they're sticking around they're not 740 00:29:12,960 --> 00:29:19,039 necessarily you know j ping in and out 741 00:29:15,279 --> 00:29:20,480 of jobs every quarter 742 00:29:19,039 --> 00:29:22,159 743 00:29:20,480 --> 00:29:24,320 and then we're going to break this down 744 00:29:22,159 --> 00:29:26,960 by race 745 00:29:24,320 --> 00:29:30,159 and I should point out that 746 00:29:26,960 --> 00:29:32,640 Asian is American Indian Alaskan native 747 00:29:30,159 --> 00:29:35,200 and Asian includes 748 00:29:32,640 --> 00:29:36,399 native Hawaiian and other pacific 749 00:29:35,200 --> 00:29:40,000 islanders 750 00:29:36,399 --> 00:29:42,559 and you can see these are very small and 751 00:29:40,000 --> 00:29:43,440 very small samples 752 00:29:42,559 --> 00:29:44,880 so 753 00:29:43,440 --> 00:29:47,279 754 00:29:44,880 --> 00:29:49,520 one thing that jumps out immediately is 755 00:29:47,279 --> 00:29:52,480 the percentage of Hispanics ever 756 00:29:49,520 --> 00:29:54,960 employed that's very low 757 00:29:52,480 --> 00:29:59,360 compared to the other races 758 00:29:54,960 --> 00:30:02,000 and we don't have a great 759 00:29:59,360 --> 00:30:04,000 explanation for that 760 00:30:02,000 --> 00:30:06,960 761 00:30:04,000 --> 00:30:08,880 on the other hand Hispanics tend to work 762 00:30:06,960 --> 00:30:12,720 the most quarters 763 00:30:08,880 --> 00:30:14,480 and in fact if you go back down to 764 00:30:12,720 --> 00:30:16,080 to the mean longest consistent 765 00:30:14,480 --> 00:30:17,919 employment they had the longest 766 00:30:16,080 --> 00:30:20,480 consistent employment of all of the 767 00:30:17,919 --> 00:30:20,480 races 768 00:30:20,880 --> 00:30:27,440 white had the highest 769 00:30:24,960 --> 00:30:29,840 I’m sorry the lowest mean time to first 770 00:30:27,440 --> 00:30:31,840 employment 1.8 quarters 771 00:30:29,840 --> 00:30:33,279 whereas 772 00:30:31,840 --> 00:30:35,520 you know 773 00:30:33,279 --> 00:30:38,159 it looks like 774 00:30:35,520 --> 00:30:39,600 and non-Hispanic flax 775 00:30:38,159 --> 00:30:42,159 776 00:30:39,600 --> 00:30:44,720 were out almost three quarters which is 777 00:30:42,159 --> 00:30:46,080 nine months right 778 00:30:44,720 --> 00:30:48,640 779 00:30:46,080 --> 00:30:52,559 so again it differed 780 00:30:48,640 --> 00:30:55,600 by race and 781 00:30:52,559 --> 00:30:56,880 basically while I said the thing about 782 00:30:55,600 --> 00:30:58,559 67 783 00:30:56,880 --> 00:30:59,679 had a job 784 00:30:58,559 --> 00:31:03,440 that's 785 00:30:59,679 --> 00:31:06,559 like I said over 16 quarters in no 786 00:31:03,440 --> 00:31:08,240 single quarter after release were more 787 00:31:06,559 --> 00:31:10,640 than 40 percent 788 00:31:08,240 --> 00:31:11,679 of persons from the study population 789 00:31:10,640 --> 00:31:12,559 employed 790 00:31:11,679 --> 00:31:16,559 okay 791 00:31:12,559 --> 00:31:19,360 so that may sound odd but again 792 00:31:16,559 --> 00:31:21,440 the people were not employed 793 00:31:19,360 --> 00:31:22,399 every single quarter or most of them 794 00:31:21,440 --> 00:31:24,880 weren't 795 00:31:22,399 --> 00:31:27,200 and so 796 00:31:24,880 --> 00:31:29,200 you had about 797 00:31:27,200 --> 00:31:32,960 35 36 798 00:31:29,200 --> 00:31:35,279 employed at any during any one quarter 799 00:31:32,960 --> 00:31:37,440 females in the study population had a 800 00:31:35,279 --> 00:31:40,320 slightly higher percentage of persons 801 00:31:37,440 --> 00:31:41,200 employed in each of the 16 quarters 802 00:31:40,320 --> 00:31:43,200 which 803 00:31:41,200 --> 00:31:46,480 makes sense given that they had 804 00:31:43,200 --> 00:31:48,000 a higher overall percentage 805 00:31:46,480 --> 00:31:50,320 one of the interesting things we found 806 00:31:48,000 --> 00:31:53,279 was that drug offenders former drug 807 00:31:50,320 --> 00:31:54,480 offenders who had been released in 2010 808 00:31:53,279 --> 00:31:57,039 809 00:31:54,480 --> 00:31:58,480 actually had the highest rates of 810 00:31:57,039 --> 00:32:00,159 employment 811 00:31:58,480 --> 00:32:03,200 once they were released from federal 812 00:32:00,159 --> 00:32:04,159 prison in 2010 compared to 813 00:32:03,200 --> 00:32:06,880 814 00:32:04,159 --> 00:32:09,679 violent offenders or public order and I 815 00:32:06,880 --> 00:32:12,399 saw a quick question in the 816 00:32:09,679 --> 00:32:15,519 q a that came up what 817 00:32:12,399 --> 00:32:17,039 constitutes violent offenses 818 00:32:15,519 --> 00:32:18,960 it's 819 00:32:17,039 --> 00:32:21,200 murder kidnapping 820 00:32:18,960 --> 00:32:21,200 821 00:32:21,279 --> 00:32:27,279 murder kidnapping rape sexual assault 822 00:32:24,720 --> 00:32:28,399 robbery 823 00:32:27,279 --> 00:32:29,279 and I think 824 00:32:28,399 --> 00:32:32,640 that 825 00:32:29,279 --> 00:32:34,799 and manslaughter okay so negligent 826 00:32:32,640 --> 00:32:37,120 and non-negligent manslaughter so an 827 00:32:34,799 --> 00:32:39,840 assault I’m sorry I should say both 828 00:32:37,120 --> 00:32:43,440 serious and simple assault 829 00:32:39,840 --> 00:32:44,799 so that's what's in violence 830 00:32:43,440 --> 00:32:48,480 property 831 00:32:44,799 --> 00:32:48,480 offenders were the next best 832 00:32:48,640 --> 00:32:53,840 people in terms of employment over those 833 00:32:50,960 --> 00:32:53,840 16 quarters 834 00:32:54,000 --> 00:32:57,440 835 00:32:55,120 --> 00:32:59,519 similar results for 836 00:32:57,440 --> 00:33:00,559 race and ethnicity 837 00:32:59,519 --> 00:33:01,600 838 00:33:00,559 --> 00:33:05,039 white 839 00:33:01,600 --> 00:33:07,120 had a higher rate in each of the 16 840 00:33:05,039 --> 00:33:10,840 quarters compared to 841 00:33:07,120 --> 00:33:10,840 the other races 842 00:33:11,200 --> 00:33:17,440 and finally we're going to look at this 843 00:33:14,159 --> 00:33:19,279 group which is people who were held for 844 00:33:17,440 --> 00:33:22,000 less than a year 845 00:33:19,279 --> 00:33:25,440 by the time they were released in 2010 846 00:33:22,000 --> 00:33:27,600 okay so we have we broke this down 847 00:33:25,440 --> 00:33:29,039 into less than a year 848 00:33:27,600 --> 00:33:31,679 one two 849 00:33:29,039 --> 00:33:34,320 almost two years two to two point nine 850 00:33:31,679 --> 00:33:35,679 three to three to almost five to 851 00:33:34,320 --> 00:33:38,159 almost seven 852 00:33:35,679 --> 00:33:39,600 etc. and then people who were in for ten 853 00:33:38,159 --> 00:33:42,559 or more years 854 00:33:39,600 --> 00:33:45,120 and what was really interesting was that 855 00:33:42,559 --> 00:33:46,960 there were a lot of people in 856 00:33:45,120 --> 00:33:49,600 in the 857 00:33:46,960 --> 00:33:51,840 cohort of people who had served less 858 00:33:49,600 --> 00:33:55,120 than a year in the bureau of prisons 859 00:33:51,840 --> 00:33:56,159 before they were released in 2010. 860 00:33:55,120 --> 00:33:59,519 now 861 00:33:56,159 --> 00:34:02,080 that does not mean that they 862 00:33:59,519 --> 00:34:06,080 didn't necessarily serve 863 00:34:02,080 --> 00:34:08,480 time elsewhere beforehand okay and 864 00:34:06,080 --> 00:34:11,200 it was counted against their 865 00:34:08,480 --> 00:34:13,440 their total sentence but this is from 866 00:34:11,200 --> 00:34:16,639 when they were admitted to the bureau of 867 00:34:13,440 --> 00:34:18,320 prisons and then released in 2010 868 00:34:16,639 --> 00:34:20,960 and they had 869 00:34:18,320 --> 00:34:23,200 overall of the measures we looked at 870 00:34:20,960 --> 00:34:24,240 for employment the absolute worst 871 00:34:23,200 --> 00:34:26,000 outcome 872 00:34:24,240 --> 00:34:26,879 they were employed 873 00:34:26,000 --> 00:34:29,679 874 00:34:26,879 --> 00:34:32,480 at lower rates in each of the quarters 875 00:34:29,679 --> 00:34:33,440 and overall 876 00:34:32,480 --> 00:34:36,720 they 877 00:34:33,440 --> 00:34:39,520 had the longest time to wait 878 00:34:36,720 --> 00:34:41,200 before they could get a job after 879 00:34:39,520 --> 00:34:44,240 they were released 880 00:34:41,200 --> 00:34:45,919 they had the most number of jobs they 881 00:34:44,240 --> 00:34:47,679 had the 882 00:34:45,919 --> 00:34:49,359 the 883 00:34:47,679 --> 00:34:50,720 least 884 00:34:49,359 --> 00:34:52,560 885 00:34:50,720 --> 00:34:54,399 what am I trying to say they had the 886 00:34:52,560 --> 00:34:56,159 least 887 00:34:54,399 --> 00:34:59,599 consecutive 888 00:34:56,159 --> 00:35:00,839 period quarters quarter period of job 889 00:34:59,599 --> 00:35:02,640 employment 890 00:35:00,839 --> 00:35:06,240 so 891 00:35:02,640 --> 00:35:08,079 we don't actually know what the reason 892 00:35:06,240 --> 00:35:10,880 is behind this 893 00:35:08,079 --> 00:35:13,520 and so the you know the question is 894 00:35:10,880 --> 00:35:15,520 we're gonna have to go back and look at 895 00:35:13,520 --> 00:35:16,960 you know are these younger people are 896 00:35:15,520 --> 00:35:19,359 they 897 00:35:16,960 --> 00:35:22,960 were they not able to 898 00:35:19,359 --> 00:35:25,839 access the sort of programming that goes 899 00:35:22,960 --> 00:35:29,119 on that might prepare someone who had 900 00:35:25,839 --> 00:35:31,520 been in for longer for a job when they 901 00:35:29,119 --> 00:35:33,359 were released from prison 902 00:35:31,520 --> 00:35:35,520 are these predominantly drug 903 00:35:33,359 --> 00:35:38,240 offenders probably not given the fact 904 00:35:35,520 --> 00:35:41,839 that they have poor employment outcomes 905 00:35:38,240 --> 00:35:44,160 but again we need to do more 906 00:35:41,839 --> 00:35:45,359 research into why those people are 907 00:35:44,160 --> 00:35:49,599 having 908 00:35:45,359 --> 00:35:51,680 a really hard time finding work 909 00:35:49,599 --> 00:35:53,040 910 00:35:51,680 --> 00:35:54,880 so 911 00:35:53,040 --> 00:35:56,400 yes, this is exactly what I just said I 912 00:35:54,880 --> 00:35:58,640 didn't realize I 913 00:35:56,400 --> 00:36:00,720 had a slide in there 914 00:35:58,640 --> 00:36:03,200 median quarterly earnings 915 00:36:00,720 --> 00:36:05,920 now remember this is over three 916 00:36:03,200 --> 00:36:07,760 months so divide by three and you'll 917 00:36:05,920 --> 00:36:08,880 get a monthly salary 918 00:36:07,760 --> 00:36:11,200 919 00:36:08,880 --> 00:36:13,760 the median quarterly earnings in quarter 920 00:36:11,200 --> 00:36:16,720 one post release was three thousand five 921 00:36:13,760 --> 00:36:18,480 hundred dollars compared to six thousand 922 00:36:16,720 --> 00:36:21,200 in quarter sixteen 923 00:36:18,480 --> 00:36:23,200 okay so two thousand a month was the 924 00:36:21,200 --> 00:36:25,280 mean 925 00:36:23,200 --> 00:36:27,599 females employed in each quarter has 926 00:36:25,280 --> 00:36:29,440 lower quarterly earnings funded males 927 00:36:27,599 --> 00:36:33,520 and you'll remember they were employed 928 00:36:29,440 --> 00:36:33,520 at higher rates but they're earning less 929 00:36:34,000 --> 00:36:39,200 in quarters 1 and 16 Hispanics whites 930 00:36:37,839 --> 00:36:41,440 and Asians 931 00:36:39,200 --> 00:36:43,119 who were employed had higher earnings 932 00:36:41,440 --> 00:36:44,880 compared to black 933 00:36:43,119 --> 00:36:46,880 American Indians and Alaska 934 00:36:44,880 --> 00:36:49,119 natives 935 00:36:46,880 --> 00:36:50,720 and like I said persons who served less 936 00:36:49,119 --> 00:36:54,400 than one year 937 00:36:50,720 --> 00:36:56,640 prior to their 2010 release earned at 938 00:36:54,400 --> 00:37:01,520 least a thousand dollars less per 939 00:36:56,640 --> 00:37:01,520 quarter than anyone who served longer 940 00:37:02,560 --> 00:37:07,520 those employed after serving time for 941 00:37:04,240 --> 00:37:08,560 drug and public order offenses earned 942 00:37:07,520 --> 00:37:11,440 about 943 00:37:08,560 --> 00:37:13,760 six thousand sixty-one hundred 944 00:37:11,440 --> 00:37:16,560 dollars per quarter during quarter 945 00:37:13,760 --> 00:37:19,599 sixteen which is about thirteen hundred 946 00:37:16,560 --> 00:37:21,599 dollars more per quarter than person who 947 00:37:19,599 --> 00:37:24,320 had served people who had served time 948 00:37:21,599 --> 00:37:27,599 for violent offenses 949 00:37:24,320 --> 00:37:30,320 and this is just graphically showing you 950 00:37:27,599 --> 00:37:33,359 the blue is quarter one 951 00:37:30,320 --> 00:37:37,359 and the red is quarter 16. so 952 00:37:33,359 --> 00:37:39,359 the positive here is that everyone's 953 00:37:37,359 --> 00:37:42,000 increasing in terms of how much they're 954 00:37:39,359 --> 00:37:42,960 making by quarter 16 955 00:37:42,000 --> 00:37:46,720 956 00:37:42,960 --> 00:37:49,680 you know the question is 957 00:37:46,720 --> 00:37:50,720 their ability to 958 00:37:49,680 --> 00:37:52,480 you know 959 00:37:50,720 --> 00:37:54,720 live or support 960 00:37:52,480 --> 00:37:56,480 a family or what have you on that 961 00:37:54,720 --> 00:37:58,240 amount of money 962 00:37:56,480 --> 00:38:01,680 963 00:37:58,240 --> 00:38:04,480 but there you see whites and 964 00:38:01,680 --> 00:38:07,599 Hispanics and Asians 965 00:38:04,480 --> 00:38:10,079 the report also looked at sectors of 966 00:38:07,599 --> 00:38:13,680 employment and I didn't put that into 967 00:38:10,079 --> 00:38:15,280 this presentation simply because I was 968 00:38:13,680 --> 00:38:17,440 limited for time 969 00:38:15,280 --> 00:38:20,160 970 00:38:17,440 --> 00:38:20,160 it is 971 00:38:20,480 --> 00:38:26,400 it's not 972 00:38:23,200 --> 00:38:29,760 it's not an easy explanation in terms of 973 00:38:26,400 --> 00:38:30,560 what sectors are taking people who have 974 00:38:29,760 --> 00:38:31,440 been 975 00:38:30,560 --> 00:38:33,839 976 00:38:31,440 --> 00:38:37,280 sentenced and served time for 977 00:38:33,839 --> 00:38:39,839 crimes in the federal system 978 00:38:37,280 --> 00:38:42,800 typically it's 979 00:38:39,839 --> 00:38:44,320 administrative which can mean anything 980 00:38:42,800 --> 00:38:46,400 from 981 00:38:44,320 --> 00:38:47,680 an administrative assistant 982 00:38:46,400 --> 00:38:49,920 to 983 00:38:47,680 --> 00:38:52,640 someone who works 984 00:38:49,920 --> 00:38:56,079 as part of a temp agency so they can be 985 00:38:52,640 --> 00:38:57,760 sent out to do whatever it could include 986 00:38:56,079 --> 00:39:00,400 987 00:38:57,760 --> 00:39:02,800 you know any sort of administrative 988 00:39:00,400 --> 00:39:05,119 assistance 989 00:39:02,800 --> 00:39:06,400 in in terms of 990 00:39:05,119 --> 00:39:08,800 you know not just necessarily 991 00:39:06,400 --> 00:39:10,000 secretarial work but 992 00:39:08,800 --> 00:39:11,040 993 00:39:10,000 --> 00:39:14,640 other 994 00:39:11,040 --> 00:39:16,880 other administrative jobs 995 00:39:14,640 --> 00:39:18,640 there were also a large number of 996 00:39:16,880 --> 00:39:20,640 Hispanics in fact 997 00:39:18,640 --> 00:39:22,320 employed in 998 00:39:20,640 --> 00:39:24,320 999 00:39:22,320 --> 00:39:26,800 in building and construction and that 1000 00:39:24,320 --> 00:39:29,520 may be why they're 1001 00:39:26,800 --> 00:39:31,280 by their salary is higher than 1002 00:39:29,520 --> 00:39:34,320 other races 1003 00:39:31,280 --> 00:39:35,359 so that is all in the report and you 1004 00:39:34,320 --> 00:39:36,480 can 1005 00:39:35,359 --> 00:39:38,560 1006 00:39:36,480 --> 00:39:41,280 go ahead and look at that and I’m going 1007 00:39:38,560 --> 00:39:43,839 to turn this over to 1008 00:39:41,280 --> 00:39:43,839 Danielle 1009 00:39:48,000 --> 00:39:50,560 thank you, Ann, 1010 00:39:50,960 --> 00:39:53,280 1011 00:39:54,960 --> 00:39:59,760 yes so 1012 00:39:57,599 --> 00:40:02,400 now that we've heard about a bunch of 1013 00:39:59,760 --> 00:40:05,119 new releases I’m going to 1014 00:40:02,400 --> 00:40:08,079 share with you about a new 1015 00:40:05,119 --> 00:40:11,160 data analysis tool that we just released 1016 00:40:08,079 --> 00:40:11,160 at BJS 1017 00:40:12,160 --> 00:40:16,240 where you can analyze 1018 00:40:14,000 --> 00:40:17,680 data on 1019 00:40:16,240 --> 00:40:20,240 some of our prison 1020 00:40:17,680 --> 00:40:20,240 collections 1021 00:40:21,599 --> 00:40:26,400 so this is I’m not sure how many people 1022 00:40:23,760 --> 00:40:29,280 have recently come to our website it has 1023 00:40:26,400 --> 00:40:31,680 been a little it's been revamped 1024 00:40:29,280 --> 00:40:33,599 hopefully things are a lot easier 1025 00:40:31,680 --> 00:40:35,760 to 1026 00:40:33,599 --> 00:40:37,760 navigate and find 1027 00:40:35,760 --> 00:40:39,760 on this landing page you'll see new 1028 00:40:37,760 --> 00:40:41,280 releases 1029 00:40:39,760 --> 00:40:43,200 and 1030 00:40:41,280 --> 00:40:44,640 you know correctional populations just 1031 00:40:43,200 --> 00:40:46,720 came out 1032 00:40:44,640 --> 00:40:49,440 last week which is very exciting it 1033 00:40:46,720 --> 00:40:51,599 merges all 1034 00:40:49,440 --> 00:40:53,760 community corrections and institutional 1035 00:40:51,599 --> 00:40:55,680 corrections into one report 1036 00:40:53,760 --> 00:40:57,680 and then for more detail you can dive 1037 00:40:55,680 --> 00:41:00,720 into some of the 1038 00:40:57,680 --> 00:41:00,720 individual reports 1039 00:41:01,599 --> 00:41:07,839 so to access this new 1040 00:41:05,440 --> 00:41:10,400 CSAT prisoners tool the corrections 1041 00:41:07,839 --> 00:41:13,359 statistical analysis tool 1042 00:41:10,400 --> 00:41:16,000 we'll go into data 1043 00:41:13,359 --> 00:41:18,560 data analysis tools 1044 00:41:16,000 --> 00:41:20,400 and pops up right here on the top this 1045 00:41:18,560 --> 00:41:23,680 correctional correction statistical 1046 00:41:20,400 --> 00:41:26,079 analysis tool for prisoners 1047 00:41:23,680 --> 00:41:28,640 if you had been to the site before you 1048 00:41:26,079 --> 00:41:30,560 may remember that we had a tool 1049 00:41:28,640 --> 00:41:33,359 that was 1050 00:41:30,560 --> 00:41:36,160 you were able to look at data from the 1051 00:41:33,359 --> 00:41:38,800 national prisoner statistics program 1052 00:41:36,160 --> 00:41:41,280 and that that collection is an 1053 00:41:38,800 --> 00:41:44,000 aggregate data collection that 1054 00:41:41,280 --> 00:41:45,440 collects data on race and checks of 1055 00:41:44,000 --> 00:41:47,520 prison inmates 1056 00:41:45,440 --> 00:41:49,920 inmates held in private facilities 1057 00:41:47,520 --> 00:41:53,520 and local jails 1058 00:41:49,920 --> 00:41:57,200 system capacity non-citizens and also 1059 00:41:53,520 --> 00:41:59,440 persons 17 or younger 1060 00:41:57,200 --> 00:42:01,599 one of the benefits of 1061 00:41:59,440 --> 00:42:04,960 this newly released tool 1062 00:42:01,599 --> 00:42:07,200 is that it also includes data from the 1063 00:42:04,960 --> 00:42:08,800 national corrections reporting program 1064 00:42:07,200 --> 00:42:10,160 the NCRP 1065 00:42:08,800 --> 00:42:12,800 and what makes 1066 00:42:10,160 --> 00:42:13,760 this prison collection different is that 1067 00:42:12,800 --> 00:42:15,839 the NC 1068 00:42:13,760 --> 00:42:17,760 the NCRP collects offender level 1069 00:42:15,839 --> 00:42:21,680 administrative data 1070 00:42:17,760 --> 00:42:22,640 so we have a whole slew of 1071 00:42:21,680 --> 00:42:24,960 different 1072 00:42:22,640 --> 00:42:27,200 cross tabulations that can be done with 1073 00:42:24,960 --> 00:42:29,599 the NCRP being an offender level 1074 00:42:27,200 --> 00:42:31,839 collection versus the 1075 00:42:29,599 --> 00:42:35,040 national prisoner statistics program 1076 00:42:31,839 --> 00:42:37,359 which is an aggregate collection 1077 00:42:35,040 --> 00:42:40,240 from each of the state 1078 00:42:37,359 --> 00:42:42,400 department of corrections 1079 00:42:40,240 --> 00:42:43,680 the NCRP 1080 00:42:42,400 --> 00:42:46,480 collects 1081 00:42:43,680 --> 00:42:48,960 data annually on prison admissions and 1082 00:42:46,480 --> 00:42:50,480 releases as well as year-end custody 1083 00:42:48,960 --> 00:42:53,520 populations 1084 00:42:50,480 --> 00:42:56,640 and on parole entries and discharges in 1085 00:42:53,520 --> 00:42:58,160 participating jurisdictions 1086 00:42:56,640 --> 00:43:00,480 included in this collection is 1087 00:42:58,160 --> 00:43:03,119 demographic information conviction 1088 00:43:00,480 --> 00:43:04,640 offenses sentence length minimum time 1089 00:43:03,119 --> 00:43:06,960 serves 1090 00:43:04,640 --> 00:43:08,400 credited jail time type of admission 1091 00:43:06,960 --> 00:43:11,599 type of release 1092 00:43:08,400 --> 00:43:11,599 and time served 1093 00:43:11,760 --> 00:43:14,720 for individuals 1094 00:43:15,119 --> 00:43:17,359 so 1095 00:43:16,160 --> 00:43:18,880 in this 1096 00:43:17,359 --> 00:43:23,040 new tool 1097 00:43:18,880 --> 00:43:25,040 there's a lot of fun new things if 1098 00:43:23,040 --> 00:43:27,760 you had been 1099 00:43:25,040 --> 00:43:29,280 looking for NCRP data previously you 1100 00:43:27,760 --> 00:43:32,160 would need to go 1101 00:43:29,280 --> 00:43:34,400 over to the national archive of criminal 1102 00:43:32,160 --> 00:43:38,480 justice data 1103 00:43:34,400 --> 00:43:40,560 and we do release a public use file of 1104 00:43:38,480 --> 00:43:43,680 selected variables 1105 00:43:40,560 --> 00:43:45,920 for download at that archive 1106 00:43:43,680 --> 00:43:48,480 but sometimes you know managing through 1107 00:43:45,920 --> 00:43:51,440 some of those files can be tricky so 1108 00:43:48,480 --> 00:43:55,119 this tool now incorporates that public 1109 00:43:51,440 --> 00:43:56,560 use selected variable file into 1110 00:43:55,119 --> 00:44:00,079 1111 00:43:56,560 --> 00:44:03,040 kind of a more user-friendly data 1112 00:44:00,079 --> 00:44:05,119 query and tables and maps 1113 00:44:03,040 --> 00:44:08,599 to look at a lot of different 1114 00:44:05,119 --> 00:44:08,599 types of data 1115 00:44:09,040 --> 00:44:14,960 on this landing page first you'll see 1116 00:44:11,680 --> 00:44:16,240 some frequently requested figures 1117 00:44:14,960 --> 00:44:19,200 1118 00:44:16,240 --> 00:44:22,560 some of these figures 1119 00:44:19,200 --> 00:44:24,800 will be using data from NPS so if you 1120 00:44:22,560 --> 00:44:26,400 hover over this little info button it'll 1121 00:44:24,800 --> 00:44:27,359 tell you the source 1122 00:44:26,400 --> 00:44:29,599 of 1123 00:44:27,359 --> 00:44:31,839 where the data is coming from so this 1124 00:44:29,599 --> 00:44:34,960 this prisoner this prison admissions 1125 00:44:31,839 --> 00:44:38,000 from 1978 through 2019 is coming from 1126 00:44:34,960 --> 00:44:41,440 NPS so it has 1127 00:44:38,000 --> 00:44:43,440 data you can scroll through on 1128 00:44:41,440 --> 00:44:45,760 national level 1129 00:44:43,440 --> 00:44:48,480 admissions data over time for the 1130 00:44:45,760 --> 00:44:50,800 federal and state prisons 1131 00:44:48,480 --> 00:44:52,640 all of these data 1132 00:44:50,800 --> 00:44:54,640 are available for download 1133 00:44:52,640 --> 00:44:57,119 so you can download CVSs you can 1134 00:44:54,640 --> 00:44:59,839 download the image 1135 00:44:57,119 --> 00:45:02,160 which just makes things a lot easier 1136 00:44:59,839 --> 00:45:04,400 to navigate which I think is really 1137 00:45:02,160 --> 00:45:08,079 exciting and we're happy to now have 1138 00:45:04,400 --> 00:45:09,920 something easier to get through 1139 00:45:08,079 --> 00:45:11,440 some additional frequently requested 1140 00:45:09,920 --> 00:45:14,480 figures include 1141 00:45:11,440 --> 00:45:16,839 the jurisdiction population 1142 00:45:14,480 --> 00:45:20,560 a private prison 1143 00:45:16,839 --> 00:45:20,560 population releases 1144 00:45:21,520 --> 00:45:25,760 admissions by offense 1145 00:45:23,920 --> 00:45:27,920 and so here where it says state prisons 1146 00:45:25,760 --> 00:45:30,839 only you hover over here this is where 1147 00:45:27,920 --> 00:45:32,960 it's coming it's including data from the 1148 00:45:30,839 --> 00:45:34,319 NCRP so we can have those cross 1149 00:45:32,960 --> 00:45:37,520 tabulations 1150 00:45:34,319 --> 00:45:37,520 on individuals 1151 00:45:39,599 --> 00:45:43,599 we have percent of sentenced 1152 00:45:41,760 --> 00:45:46,599 prisoners under state jurisdictions by 1153 00:45:43,599 --> 00:45:46,599 offense 1154 00:45:47,119 --> 00:45:51,359 so yeah, there's just a lot of great 1155 00:45:49,280 --> 00:45:52,160 1156 00:45:51,359 --> 00:45:55,599 quick 1157 00:45:52,160 --> 00:45:57,440 figures to examine here 1158 00:45:55,599 --> 00:46:00,480 additionally 1159 00:45:57,440 --> 00:46:02,560 are the quick tables on this next tab 1160 00:46:00,480 --> 00:46:03,599 if you were familiar with the previous 1161 00:46:02,560 --> 00:46:06,720 tool 1162 00:46:03,599 --> 00:46:09,119 that had the NPS data we always made 1163 00:46:06,720 --> 00:46:10,480 these tables available 1164 00:46:09,119 --> 00:46:11,520 it is some of the most frequently 1165 00:46:10,480 --> 00:46:13,839 requested 1166 00:46:11,520 --> 00:46:15,520 data 1167 00:46:13,839 --> 00:46:18,640 so looking at 1168 00:46:15,520 --> 00:46:19,520 jurisdiction by sex 1169 00:46:18,640 --> 00:46:22,240 1170 00:46:19,520 --> 00:46:26,240 custody population by sex imprisonment 1171 00:46:22,240 --> 00:46:28,880 rates going back to 1978 so all of 1172 00:46:26,240 --> 00:46:30,800 these are available for a quick 1173 00:46:28,880 --> 00:46:33,119 excel download 1174 00:46:30,800 --> 00:46:34,800 which is really helpful and these are 1175 00:46:33,119 --> 00:46:36,720 all exactly the same as what was 1176 00:46:34,800 --> 00:46:38,960 available in the previous tool we wanted 1177 00:46:36,720 --> 00:46:40,319 to make sure that some of that was easy 1178 00:46:38,960 --> 00:46:41,280 to carry over 1179 00:46:40,319 --> 00:46:43,839 into 1180 00:46:41,280 --> 00:46:43,839 this new tool 1181 00:46:44,240 --> 00:46:48,319 now some of the really new stuff that we 1182 00:46:46,560 --> 00:46:51,040 were able to incorporate 1183 00:46:48,319 --> 00:46:53,040 are these map query and advanced query 1184 00:46:51,040 --> 00:46:55,280 tabs 1185 00:46:53,040 --> 00:46:57,680 these are very neat 1186 00:46:55,280 --> 00:46:59,920 and have so much data to look at as you 1187 00:46:57,680 --> 00:47:01,599 can see here from this drop down 1188 00:46:59,920 --> 00:47:03,839 you can look 1189 00:47:01,599 --> 00:47:05,359 across time 1190 00:47:03,839 --> 00:47:07,839 as an example I’m going to look at 1191 00:47:05,359 --> 00:47:11,839 releases 1192 00:47:07,839 --> 00:47:14,240 so right now this is just 2019 1193 00:47:11,839 --> 00:47:16,480 number of releases by state 1194 00:47:14,240 --> 00:47:19,040 so this is coming 1195 00:47:16,480 --> 00:47:20,480 this is looking at just a single year of 1196 00:47:19,040 --> 00:47:22,559 release data 1197 00:47:20,480 --> 00:47:25,839 and we can look at the total number or 1198 00:47:22,559 --> 00:47:25,839 we can look at rates 1199 00:47:26,559 --> 00:47:31,359 so clicking here you can 1200 00:47:28,960 --> 00:47:35,119 see changes or you can see the rate for 1201 00:47:31,359 --> 00:47:36,319 2019 of total releases 1202 00:47:35,119 --> 00:47:38,880 something 1203 00:47:36,319 --> 00:47:40,480 very neat is we can look at percentage 1204 00:47:38,880 --> 00:47:43,839 change over time 1205 00:47:40,480 --> 00:47:46,800 so here it this timeline now becomes 1206 00:47:43,839 --> 00:47:48,800 interactive and so we can look at 1207 00:47:46,800 --> 00:47:53,040 2010 1208 00:47:48,800 --> 00:47:55,680 to 2019 you just drag that across 1209 00:47:53,040 --> 00:47:58,319 and it populates total releases percent 1210 00:47:55,680 --> 00:48:00,240 change I still have this rate 1211 00:47:58,319 --> 00:48:03,119 clicked here so this is by 1212 00:48:00,240 --> 00:48:05,599 per 100 000 state residents 1213 00:48:03,119 --> 00:48:08,319 looking at change of time or change 1214 00:48:05,599 --> 00:48:12,000 percent change of total releases from 1215 00:48:08,319 --> 00:48:12,000 2010 to 2019. 1216 00:48:12,240 --> 00:48:16,240 down here there is a changing 1217 00:48:17,520 --> 00:48:21,839 tool that you will see 1218 00:48:19,680 --> 00:48:23,920 this will change depending on what the 1219 00:48:21,839 --> 00:48:27,359 Maximum and minimum 1220 00:48:23,920 --> 00:48:29,280 of these rates will be 1221 00:48:27,359 --> 00:48:30,800 if we just want to look 1222 00:48:29,280 --> 00:48:32,720 at numbers 1223 00:48:30,800 --> 00:48:35,839 just take that click that rate and it 1224 00:48:32,720 --> 00:48:40,079 goes right back 1225 00:48:35,839 --> 00:48:40,079 to looking at that just percent change 1226 00:48:41,200 --> 00:48:45,200 always 1227 00:48:42,319 --> 00:48:46,800 you can choose to include footnotes 1228 00:48:45,200 --> 00:48:50,559 1229 00:48:46,800 --> 00:48:50,559 let's see let's look at 1230 00:48:51,440 --> 00:48:55,760 we could look at 1231 00:48:52,800 --> 00:48:55,760 private prisons 1232 00:48:56,480 --> 00:49:01,119 not do percent change 1233 00:48:58,800 --> 00:49:03,599 and you can pick a single year 1234 00:49:01,119 --> 00:49:05,760 obviously, some of this it depends on 1235 00:49:03,599 --> 00:49:09,040 how much data we had so 1236 00:49:05,760 --> 00:49:10,559 private prison data goes back to 1999. 1237 00:49:09,040 --> 00:49:12,720 if it's not available it'll just be 1238 00:49:10,559 --> 00:49:14,880 grayed out 1239 00:49:12,720 --> 00:49:16,880 for additional information and for 1240 00:49:14,880 --> 00:49:19,520 source you can always just hover over 1241 00:49:16,880 --> 00:49:19,520 this info 1242 00:49:20,480 --> 00:49:25,920 so there's a lot of really cool things 1243 00:49:23,440 --> 00:49:27,680 that can just be queried in in this map 1244 00:49:25,920 --> 00:49:30,400 tool and 1245 00:49:27,680 --> 00:49:32,640 I know that we always have at BJS we're 1246 00:49:30,400 --> 00:49:34,240 constantly getting questions about you 1247 00:49:32,640 --> 00:49:36,160 know different states and 1248 00:49:34,240 --> 00:49:37,920 it's just really fun to be able to put 1249 00:49:36,160 --> 00:49:40,319 something up here that I think is really 1250 00:49:37,920 --> 00:49:40,319 useful 1251 00:49:40,400 --> 00:49:43,520 and 1252 00:49:41,200 --> 00:49:46,240 once again like all of this data 1253 00:49:43,520 --> 00:49:47,839 this is exportable so when you see these 1254 00:49:46,240 --> 00:49:49,200 three lines you can click on it and you 1255 00:49:47,839 --> 00:49:52,720 can download 1256 00:49:49,200 --> 00:49:57,720 CVSs you can download the graphic 1257 00:49:52,720 --> 00:49:57,720 there's a lot a lot that can be done 1258 00:49:58,319 --> 00:50:01,760 the advanced query 1259 00:50:00,880 --> 00:50:02,960 has 1260 00:50:01,760 --> 00:50:05,520 a ton 1261 00:50:02,960 --> 00:50:06,640 a ton of customizable tables 1262 00:50:05,520 --> 00:50:09,200 1263 00:50:06,640 --> 00:50:10,839 there are three types of tables that can 1264 00:50:09,200 --> 00:50:14,240 come out of this advanced 1265 00:50:10,839 --> 00:50:15,839 query we can look at annual counts 1266 00:50:14,240 --> 00:50:17,760 of admissions releases in urine 1267 00:50:15,839 --> 00:50:20,400 populations coming from state and 1268 00:50:17,760 --> 00:50:21,440 federal prisons so this annual counts 1269 00:50:20,400 --> 00:50:22,640 will come 1270 00:50:21,440 --> 00:50:23,839 from 1271 00:50:22,640 --> 00:50:25,839 the 1272 00:50:23,839 --> 00:50:28,160 NPS the national prison statistics 1273 00:50:25,839 --> 00:50:28,160 survey 1274 00:50:28,640 --> 00:50:34,480 looking at annual counts 1275 00:50:31,280 --> 00:50:36,000 one of the examples we could look at is 1276 00:50:34,480 --> 00:50:37,680 let's say we'll look at the year ends 1277 00:50:36,000 --> 00:50:40,800 population 1278 00:50:37,680 --> 00:50:43,520 we can look at both sexes 1279 00:50:40,800 --> 00:50:44,480 and look at the total urine population 1280 00:50:43,520 --> 00:50:46,079 and then 1281 00:50:44,480 --> 00:50:47,680 here you can choose jurisdictions you 1282 00:50:46,079 --> 00:50:50,400 could look at it nationally 1283 00:50:47,680 --> 00:50:53,040 or for each state so you could if you 1284 00:50:50,400 --> 00:50:55,839 have state specific questions just pull 1285 00:50:53,040 --> 00:50:55,839 up one state 1286 00:50:56,800 --> 00:51:02,000 let's look at 1287 00:50:58,559 --> 00:51:02,000 all years and all states 1288 00:51:02,319 --> 00:51:08,640 and since this is a ton of information 1289 00:51:04,480 --> 00:51:11,280 sometimes it takes a little bit of time 1290 00:51:08,640 --> 00:51:11,280 to pull up 1291 00:51:14,800 --> 00:51:19,920 I think sometimes on this 1292 00:51:16,960 --> 00:51:19,920 sharing there we go 1293 00:51:20,880 --> 00:51:27,680 so here we have all years from 1978 all 1294 00:51:24,319 --> 00:51:29,520 the way through 2019 for all states for 1295 00:51:27,680 --> 00:51:32,160 urine population from the national 1296 00:51:29,520 --> 00:51:35,280 prisoner statistics survey 1297 00:51:32,160 --> 00:51:37,280 exporting this you know you'd have 1298 00:51:35,280 --> 00:51:38,960 all the population data you would 1299 00:51:37,280 --> 00:51:41,280 need 1300 00:51:38,960 --> 00:51:43,200 the second type of 1301 00:51:41,280 --> 00:51:44,800 custom table that you can create here in 1302 00:51:43,200 --> 00:51:47,040 this advanced query 1303 00:51:44,800 --> 00:51:48,960 are characteristics of persons admitted 1304 00:51:47,040 --> 00:51:50,800 to state prisons released from state 1305 00:51:48,960 --> 00:51:53,119 prisons or the year-end state prison 1306 00:51:50,800 --> 00:51:54,960 population from the NCRP 1307 00:51:53,119 --> 00:51:57,119 so everything in this offender 1308 00:51:54,960 --> 00:51:58,960 characteristics tab is going to be 1309 00:51:57,119 --> 00:52:00,960 coming from the 1310 00:51:58,960 --> 00:52:04,599 1311 00:52:00,960 --> 00:52:04,599 NCRP collection 1312 00:52:04,800 --> 00:52:10,800 let's say we want to look at releases 1313 00:52:07,520 --> 00:52:10,800 we'll look at both sexes 1314 00:52:16,110 --> 00:52:20,319 [Music] 1315 00:52:17,599 --> 00:52:22,720 my sharing of this is 1316 00:52:20,319 --> 00:52:24,400 creating a little bit of a lag 1317 00:52:22,720 --> 00:52:26,960 let's look at 1318 00:52:24,400 --> 00:52:26,960 offense 1319 00:52:28,079 --> 00:52:31,040 and then 1320 00:52:29,200 --> 00:52:33,440 look at all jurisdictions and let's look 1321 00:52:31,040 --> 00:52:35,920 at the most recent release data by 1322 00:52:33,440 --> 00:52:39,359 offense 1323 00:52:35,920 --> 00:52:41,280 when looking at the NCRP by state 1324 00:52:39,359 --> 00:52:42,960 you'll get this little pop-up saying 1325 00:52:41,280 --> 00:52:45,040 that 1326 00:52:42,960 --> 00:52:48,079 we caution against making state-to-state 1327 00:52:45,040 --> 00:52:49,680 comparisons in this tool just because 1328 00:52:48,079 --> 00:52:51,040 states have very different offender 1329 00:52:49,680 --> 00:52:53,280 profiles 1330 00:52:51,040 --> 00:52:55,359 as noted here some states have unified 1331 00:52:53,280 --> 00:52:56,880 prison and jail systems while other 1332 00:52:55,359 --> 00:52:58,400 states 1333 00:52:56,880 --> 00:53:01,839 only have offenders with a sentence of 1334 00:52:58,400 --> 00:53:01,839 more than one year 1335 00:53:04,800 --> 00:53:10,720 okay so here we have by state 1336 00:53:07,760 --> 00:53:12,400 the most serious offense releases of 1337 00:53:10,720 --> 00:53:14,000 2019. 1338 00:53:12,400 --> 00:53:16,079 1339 00:53:14,000 --> 00:53:19,200 this 1340 00:53:16,079 --> 00:53:21,839 these types of queries I think are what 1341 00:53:19,200 --> 00:53:24,160 at BJS we would get questions about most 1342 00:53:21,839 --> 00:53:26,319 so having this available now 1343 00:53:24,160 --> 00:53:28,880 for download I think is going to make 1344 00:53:26,319 --> 00:53:31,040 it a lot easier for analyzing some of 1345 00:53:28,880 --> 00:53:31,760 our data 1346 00:53:31,040 --> 00:53:33,440 and 1347 00:53:31,760 --> 00:53:35,760 here in the advanced query the last type 1348 00:53:33,440 --> 00:53:37,200 of custom table 1349 00:53:35,760 --> 00:53:39,280 will be 1350 00:53:37,200 --> 00:53:42,319 looking at 1351 00:53:39,280 --> 00:53:46,160 the year-end 1352 00:53:42,319 --> 00:53:48,880 population admissions and releases at a 1353 00:53:46,160 --> 00:53:50,559 national level but from the NCRP 1354 00:53:48,880 --> 00:53:51,440 so this is where 1355 00:53:50,559 --> 00:53:53,359 we 1356 00:53:51,440 --> 00:53:54,160 see the methodology but we're going to 1357 00:53:53,359 --> 00:53:55,359 take 1358 00:53:54,160 --> 00:53:58,400 1359 00:53:55,359 --> 00:54:01,520 the NCRP data and weight that up to the 1360 00:53:58,400 --> 00:54:03,440 NPS totals 1361 00:54:01,520 --> 00:54:05,359 as an example we'll click here on 1362 00:54:03,440 --> 00:54:07,520 national characteristics 1363 00:54:05,359 --> 00:54:09,920 let's look at the year-end population 1364 00:54:07,520 --> 00:54:10,800 for both sexes 1365 00:54:09,920 --> 00:54:12,319 and 1366 00:54:10,800 --> 00:54:15,760 here there are a ton of different 1367 00:54:12,319 --> 00:54:17,839 variables that you can look at 1368 00:54:15,760 --> 00:54:19,280 aged admission highest level of 1369 00:54:17,839 --> 00:54:21,359 education 1370 00:54:19,280 --> 00:54:24,960 Maximum sentence links 1371 00:54:21,359 --> 00:54:27,280 the year of prison admissions as well as 1372 00:54:24,960 --> 00:54:29,680 the year of mandatory release 1373 00:54:27,280 --> 00:54:32,079 parole eligibility and projected prison 1374 00:54:29,680 --> 00:54:32,079 release 1375 00:54:32,400 --> 00:54:36,400 if for as an example we look at your 1376 00:54:34,559 --> 00:54:40,960 projected prison release 1377 00:54:36,400 --> 00:54:40,960 and we can look at that by offense 1378 00:54:41,200 --> 00:54:46,400 and we'll choose this most recent year 1379 00:54:43,599 --> 00:54:46,400 2019 1380 00:54:50,000 --> 00:54:56,720 and so this starts back at 1950 so 1381 00:54:54,720 --> 00:54:57,839 there isn't too much data until we get 1382 00:54:56,720 --> 00:54:59,839 down 1383 00:54:57,839 --> 00:55:01,280 into some of the future years so 1384 00:54:59,839 --> 00:55:02,720 we're looking at projected prison 1385 00:55:01,280 --> 00:55:05,359 release 1386 00:55:02,720 --> 00:55:07,040 this goes all the way I think it goes 1387 00:55:05,359 --> 00:55:09,040 100 years 1388 00:55:07,040 --> 00:55:11,680 into the future we cap it at 100 just 1389 00:55:09,040 --> 00:55:13,280 because there's so few 1390 00:55:11,680 --> 00:55:15,040 data points outside of that and you 1391 00:55:13,280 --> 00:55:16,240 don't want this running 1392 00:55:15,040 --> 00:55:17,680 constantly 1393 00:55:16,240 --> 00:55:18,640 so you can look 1394 00:55:17,680 --> 00:55:21,200 by 1395 00:55:18,640 --> 00:55:24,079 most serious offense projected prison 1396 00:55:21,200 --> 00:55:28,559 release as according to the NCRP 1397 00:55:24,079 --> 00:55:28,559 collected in 2019 or for 2019. 1398 00:55:28,880 --> 00:55:33,440 once again you can choose to include 1399 00:55:31,760 --> 00:55:35,359 footnotes 1400 00:55:33,440 --> 00:55:38,240 or not and then 1401 00:55:35,359 --> 00:55:41,920 this is you can export all of these 1402 00:55:38,240 --> 00:55:41,920 custom queries to excel 1403 00:55:42,559 --> 00:55:47,280 obviously, there's a lot of methodology 1404 00:55:44,880 --> 00:55:52,240 behind some of these 1405 00:55:47,280 --> 00:55:52,240 collections so in this resources tab 1406 00:55:53,040 --> 00:55:57,440 hopefully any questions you may have 1407 00:55:54,799 --> 00:55:59,599 would be answered in the methodology the 1408 00:55:57,440 --> 00:56:00,480 frequently asked questions 1409 00:55:59,599 --> 00:56:02,960 and then 1410 00:56:00,480 --> 00:56:05,200 if needed there's also 1411 00:56:02,960 --> 00:56:07,680 a ton of supporting documents and links 1412 00:56:05,200 --> 00:56:07,680 to those 1413 00:56:07,920 --> 00:56:13,280 the NCRP resource guide all of this at 1414 00:56:10,799 --> 00:56:16,280 the national archive of criminal justice 1415 00:56:13,280 --> 00:56:16,280 data 1416 00:56:16,799 --> 00:56:22,319 so hopefully everyone finds this very 1417 00:56:19,119 --> 00:56:24,319 useful I know that I have already and 1418 00:56:22,319 --> 00:56:25,599 it's exciting to be able to put 1419 00:56:24,319 --> 00:56:27,920 something new out 1420 00:56:25,599 --> 00:56:30,640 something with great visuals and it's a 1421 00:56:27,920 --> 00:56:33,119 bit more tangible and easy to use than 1422 00:56:30,640 --> 00:56:35,599 I think are our last tool but it 1423 00:56:33,119 --> 00:56:36,799 includes all of the same information 1424 00:56:35,599 --> 00:56:40,000 with 1425 00:56:36,799 --> 00:56:40,000 some additional information 1426 00:56:41,520 --> 00:56:46,240 so thank you very much 1427 00:56:43,520 --> 00:56:48,480 for listening and I think we have time 1428 00:56:46,240 --> 00:56:50,880 now for some 1429 00:56:48,480 --> 00:56:52,640 questions 1430 00:56:50,880 --> 00:56:54,720 so we'll dive into those thank you so 1431 00:56:52,640 --> 00:56:57,440 much 1432 00:56:54,720 --> 00:56:59,040 thanks Danielle thanks Ann and 1433 00:56:57,440 --> 00:57:00,240 Matt and Leonardo 1434 00:56:59,040 --> 00:57:02,880 those 1435 00:57:00,240 --> 00:57:04,319 excellent presentations we did have a 1436 00:57:02,880 --> 00:57:06,640 number of questions that came through 1437 00:57:04,319 --> 00:57:07,760 and so I’ll just read them off and then 1438 00:57:06,640 --> 00:57:10,000 if the 1439 00:57:07,760 --> 00:57:10,960 resident party wants to j p in and take 1440 00:57:10,000 --> 00:57:12,480 a 1441 00:57:10,960 --> 00:57:15,599 take a swing that'd be great so we'll 1442 00:57:12,480 --> 00:57:18,640 start off with the questions regarding 1443 00:57:15,599 --> 00:57:19,839 the recidivism presentation Chris 1444 00:57:18,640 --> 00:57:23,440 asked 1445 00:57:19,839 --> 00:57:24,880 let me just expand this so I can read it 1446 00:57:23,440 --> 00:57:27,119 did either 1447 00:57:24,880 --> 00:57:30,319 study examine either the recidivism 1448 00:57:27,119 --> 00:57:33,839 studies examined include recidivism of 1449 00:57:30,319 --> 00:57:33,839 parents’ dads and moms 1450 00:57:34,880 --> 00:57:39,920 for those recidivism studies we did we 1451 00:57:37,040 --> 00:57:41,359 didn't have information on whether the 1452 00:57:39,920 --> 00:57:44,720 persons 1453 00:57:41,359 --> 00:57:47,280 had children or were parents 1454 00:57:44,720 --> 00:57:49,359 I also noticed we had a question about 1455 00:57:47,280 --> 00:57:51,280 whether the person's released 1456 00:57:49,359 --> 00:57:53,680 were married or single at the time for 1457 00:57:51,280 --> 00:57:56,240 these particular national studies we 1458 00:57:53,680 --> 00:57:57,839 didn't have that information 1459 00:57:56,240 --> 00:58:02,160 and I believe the same was true for the 1460 00:57:57,839 --> 00:58:02,160 the study that Ann talked about as well 1461 00:58:04,480 --> 00:58:07,720 that's correct 1462 00:58:08,640 --> 00:58:12,480 the next question 1463 00:58:10,319 --> 00:58:13,920 is another good one this came from 1464 00:58:12,480 --> 00:58:15,520 George 1465 00:58:13,920 --> 00:58:17,280 to what extent 1466 00:58:15,520 --> 00:58:20,000 does the 1467 00:58:17,280 --> 00:58:23,040 report identify recidivism rates based 1468 00:58:20,000 --> 00:58:26,160 on what re-entry services are accessed 1469 00:58:23,040 --> 00:58:26,160 and the duration 1470 00:58:26,400 --> 00:58:29,920 so for the recidivism studies we didn't 1471 00:58:28,480 --> 00:58:32,559 have information on the re-entry 1472 00:58:29,920 --> 00:58:34,000 services that were available 1473 00:58:32,559 --> 00:58:35,920 I know there is some 1474 00:58:34,000 --> 00:58:37,599 some information that the 1475 00:58:35,920 --> 00:58:39,599 corrections unit might provide just in 1476 00:58:37,599 --> 00:58:41,839 terms of 1477 00:58:39,599 --> 00:58:43,920 re-entry services in general 1478 00:58:41,839 --> 00:58:45,520 but for this particular 1479 00:58:43,920 --> 00:58:49,880 study we didn't we didn't have that 1480 00:58:45,520 --> 00:58:49,880 detailed information for the sample 1481 00:58:51,839 --> 00:58:56,000 thank you 1482 00:58:53,920 --> 00:58:58,240 they asked us to just post the link 1483 00:58:56,000 --> 00:59:00,160 in the chat so we've linked to the 1484 00:58:58,240 --> 00:59:02,079 tools and the 1485 00:59:00,160 --> 00:59:04,040 the reports in the chat and then it's 1486 00:59:02,079 --> 00:59:05,760 also available at 1487 00:59:04,040 --> 00:59:07,200 BJS.gov 1488 00:59:05,760 --> 00:59:11,040 and 1489 00:59:07,200 --> 00:59:13,920 I think air as well and NRC have also 1490 00:59:11,040 --> 00:59:14,720 linked to the various reports so please 1491 00:59:13,920 --> 00:59:16,720 do 1492 00:59:14,720 --> 00:59:18,559 take a look and if you have 1493 00:59:16,720 --> 00:59:20,559 questions we're happy to connect on 1494 00:59:18,559 --> 00:59:23,440 those too 1495 00:59:20,559 --> 00:59:25,760 okay the next question is from Michael 1496 00:59:23,440 --> 00:59:28,799 and it's regarding the 1497 00:59:25,760 --> 00:59:31,119 the post incarceration employment report 1498 00:59:28,799 --> 00:59:33,839 so the point that I’m pulling info 1499 00:59:31,119 --> 00:59:35,839 from the department of labor might miss 1500 00:59:33,839 --> 00:59:38,319 a number of returning citizens that are 1501 00:59:35,839 --> 00:59:40,319 1099 or self-employed 1502 00:59:38,319 --> 00:59:42,079 so any statistical breakdown on the 1503 00:59:40,319 --> 00:59:45,240 number that might not work for an 1504 00:59:42,079 --> 00:59:48,240 employer but choose to be 1505 00:59:45,240 --> 00:59:50,559 self-employed once they return 1506 00:59:48,240 --> 00:59:52,319 and I think right 1507 00:59:50,559 --> 00:59:54,079 right so 1508 00:59:52,319 --> 00:59:57,040 we were looking at 1509 00:59:54,079 --> 01:00:00,400 wages and earnings okay 1510 00:59:57,040 --> 01:00:02,480 we did not that does not include any 1511 01:00:00,400 --> 01:00:06,160 1512 01:00:02,480 --> 01:00:07,599 any money that may come through 1513 01:00:06,160 --> 01:00:11,119 benefits 1514 01:00:07,599 --> 01:00:11,119 or you know 1515 01:00:11,440 --> 01:00:16,240 state or federal benefits you know VA 1516 01:00:15,440 --> 01:00:19,040 or 1517 01:00:16,240 --> 01:00:21,760 snap tanf wic 1518 01:00:19,040 --> 01:00:23,359 and it does not include people who are 1519 01:00:21,760 --> 01:00:26,000 self-employed 1520 01:00:23,359 --> 01:00:28,400 if they have not 1521 01:00:26,000 --> 01:00:30,079 you know filed the 1522 01:00:28,400 --> 01:00:32,880 the paperwork 1523 01:00:30,079 --> 01:00:36,559 to go through that one of the other 1524 01:00:32,880 --> 01:00:38,960 things we're looking at is IRS data 1525 01:00:36,559 --> 01:00:40,799 now the nice thing about the LEHD 1526 01:00:38,960 --> 01:00:42,880 compared to the IRS is that it's 1527 01:00:40,799 --> 01:00:45,520 quarterly whereas 1528 01:00:42,880 --> 01:00:48,319 the IRS is 1529 01:00:45,520 --> 01:00:51,760 obviously once a year if you you're if 1530 01:00:48,319 --> 01:00:54,559 you're using the 1040 1531 01:00:51,760 --> 01:00:56,880 or w2 forms 1532 01:00:54,559 --> 01:00:58,720 so we wanted to look at it at a slightly 1533 01:00:56,880 --> 01:01:01,119 farther finer grain 1534 01:00:58,720 --> 01:01:03,839 but yes you do give up 1535 01:01:01,119 --> 01:01:06,720 some of the sources of income 1536 01:01:03,839 --> 01:01:09,760 that 1537 01:01:06,720 --> 01:01:10,400 that you would net you would probably 1538 01:01:09,760 --> 01:01:14,079 get 1539 01:01:10,400 --> 01:01:16,480 in in the IRS data 1540 01:01:14,079 --> 01:01:20,160 we also don't get a legal income and I’m 1541 01:01:16,480 --> 01:01:23,119 guessing that that's also not in in 1542 01:01:20,160 --> 01:01:26,400 the IRS data but maybe it is 1543 01:01:23,119 --> 01:01:26,400 we'll have to check that out and see 1544 01:01:28,559 --> 01:01:33,680 and anna's a follow-up to that was 1545 01:01:31,280 --> 01:01:35,920 this came from Nicole was there location 1546 01:01:33,680 --> 01:01:38,319 of release tracked to determine if this 1547 01:01:35,920 --> 01:01:41,359 had any correlation to how much a person 1548 01:01:38,319 --> 01:01:42,359 was earning this one was geographical 1549 01:01:41,359 --> 01:01:44,000 1550 01:01:42,359 --> 01:01:46,160 no 1551 01:01:44,000 --> 01:01:49,040 that was you know that was another thing 1552 01:01:46,160 --> 01:01:51,280 that we were going what we will look at 1553 01:01:49,040 --> 01:01:53,920 in the future 1554 01:01:51,280 --> 01:01:56,720 we do know that you know this 1555 01:01:53,920 --> 01:01:58,640 this cohort when they came out they were 1556 01:01:56,720 --> 01:02:00,240 sort of at the tail end of the great 1557 01:01:58,640 --> 01:02:01,039 recession 1558 01:02:00,240 --> 01:02:03,200 1559 01:02:01,039 --> 01:02:07,680 but we don't think it was 1560 01:02:03,200 --> 01:02:09,200 a big factor in unemployment 1561 01:02:07,680 --> 01:02:10,559 1562 01:02:09,200 --> 01:02:11,839 and 1563 01:02:10,559 --> 01:02:14,160 yeah, I mean we 1564 01:02:11,839 --> 01:02:17,440 we had very limited information from the 1565 01:02:14,160 --> 01:02:20,880 bop so we didn't even have 1566 01:02:17,440 --> 01:02:23,760 education level which is going to be 1567 01:02:20,880 --> 01:02:26,240 a really important predictor in terms of 1568 01:02:23,760 --> 01:02:27,680 you know being able to get a job 1569 01:02:26,240 --> 01:02:30,480 1570 01:02:27,680 --> 01:02:32,720 I think if we when we do this again 1571 01:02:30,480 --> 01:02:34,640 we're going to try to get things like 1572 01:02:32,720 --> 01:02:36,640 you know marital status 1573 01:02:34,640 --> 01:02:39,839 or 1574 01:02:36,640 --> 01:02:40,960 you know the location they ended up 1575 01:02:39,839 --> 01:02:42,400 1576 01:02:40,960 --> 01:02:45,119 prior 1577 01:02:42,400 --> 01:02:49,359 employment in terms of 1578 01:02:45,119 --> 01:02:51,280 you know the sector and earnings 1579 01:02:49,359 --> 01:02:52,720 1580 01:02:51,280 --> 01:02:56,079 and 1581 01:02:52,720 --> 01:02:57,680 as well as education so yeah, we 1582 01:02:56,079 --> 01:03:02,359 I think you're right that you know 1583 01:02:57,680 --> 01:03:02,359 this is going to vary across the country 1584 01:03:03,920 --> 01:03:08,480 I think you responded 1585 01:03:06,640 --> 01:03:09,599 to Diana’s question which was about 1586 01:03:08,480 --> 01:03:12,000 whether or not 1587 01:03:09,599 --> 01:03:14,559 we explored whether the 1588 01:03:12,000 --> 01:03:17,280 the men were married versus single 1589 01:03:14,559 --> 01:03:18,799 upon release 1590 01:03:17,280 --> 01:03:20,799 1591 01:03:18,799 --> 01:03:22,799 and then 1592 01:03:20,799 --> 01:03:24,960 this is 1593 01:03:22,799 --> 01:03:25,760 with regards to the areas of employment 1594 01:03:24,960 --> 01:03:30,079 so 1595 01:03:25,760 --> 01:03:32,480 retail versus manufacturing right 1596 01:03:30,079 --> 01:03:35,839 that is all in the report right that is 1597 01:03:32,480 --> 01:03:38,240 all in the report yes and we used 1598 01:03:35,839 --> 01:03:39,599 the bureau of labor statistics has 1599 01:03:38,240 --> 01:03:43,039 has 1600 01:03:39,599 --> 01:03:45,680 a standard set of sectors that they 1601 01:03:43,039 --> 01:03:48,559 divide everything into and so 1602 01:03:45,680 --> 01:03:50,000 I have included descriptions of the top 1603 01:03:48,559 --> 01:03:52,720 five 1604 01:03:50,000 --> 01:03:55,280 that the prisoners or the former 1605 01:03:52,720 --> 01:03:57,119 prisoners were employed in but then also 1606 01:03:55,280 --> 01:03:59,520 you know I have links to 1607 01:03:57,119 --> 01:04:01,280 the regular BLS 1608 01:03:59,520 --> 01:04:02,160 site where you can go and look at the 1609 01:04:01,280 --> 01:04:04,079 other 1610 01:04:02,160 --> 01:04:06,559 types of 1611 01:04:04,079 --> 01:04:06,559 sectors 1612 01:04:09,039 --> 01:04:13,200 a lot of great questions from 1613 01:04:11,359 --> 01:04:16,000 from the audience and we really 1614 01:04:13,200 --> 01:04:16,799 appreciate those, Carol also asked 1615 01:04:16,000 --> 01:04:18,720 that 1616 01:04:16,799 --> 01:04:20,799 whether we had data on any vocational 1617 01:04:18,720 --> 01:04:21,599 rehabilitation training that occurred 1618 01:04:20,799 --> 01:04:22,960 while 1619 01:04:21,599 --> 01:04:26,319 incarcerated in the use of those 1620 01:04:22,960 --> 01:04:26,319 educational programs and so 1621 01:04:27,920 --> 01:04:34,319 no and I mean I know a little bit 1622 01:04:31,359 --> 01:04:36,079 about what the BOP provides 1623 01:04:34,319 --> 01:04:36,880 1624 01:04:36,079 --> 01:04:38,480 but 1625 01:04:36,880 --> 01:04:39,680 obviously, it's going to be different for 1626 01:04:38,480 --> 01:04:41,440 everyone 1627 01:04:39,680 --> 01:04:44,319 one of the reasons I think 1628 01:04:41,440 --> 01:04:46,880 the population that is 1629 01:04:44,319 --> 01:04:49,520 that serve the least amount of time is 1630 01:04:46,880 --> 01:04:50,799 is not doing particularly well is 1631 01:04:49,520 --> 01:04:52,880 because 1632 01:04:50,799 --> 01:04:55,039 they don't have access to those programs 1633 01:04:52,880 --> 01:04:58,160 so for example 1634 01:04:55,039 --> 01:04:58,160 drug and alcohol 1635 01:04:59,280 --> 01:05:01,359 treatment 1636 01:05:00,319 --> 01:05:03,680 is not 1637 01:05:01,359 --> 01:05:05,359 available to 1638 01:05:03,680 --> 01:05:06,960 bop prisoners 1639 01:05:05,359 --> 01:05:09,839 until 1640 01:05:06,960 --> 01:05:11,200 they are within two years of their 1641 01:05:09,839 --> 01:05:12,160 release 1642 01:05:11,200 --> 01:05:13,359 okay 1643 01:05:12,160 --> 01:05:16,640 and 1644 01:05:13,359 --> 01:05:19,920 I know for a fact that it's always sort 1645 01:05:16,640 --> 01:05:21,760 of over they have a wait list for just 1646 01:05:19,920 --> 01:05:23,839 about every program 1647 01:05:21,760 --> 01:05:23,839 and 1648 01:05:24,079 --> 01:05:30,079 so you know if somebody just comes in 1649 01:05:27,039 --> 01:05:31,359 what are their chances of getting a spot 1650 01:05:30,079 --> 01:05:33,680 if there are people who have been 1651 01:05:31,359 --> 01:05:35,760 waiting for years I don't know I don't 1652 01:05:33,680 --> 01:05:37,520 know how they make these decisions so 1653 01:05:35,760 --> 01:05:39,440 that would be another thing to do is 1654 01:05:37,520 --> 01:05:42,640 maybe get at some 1655 01:05:39,440 --> 01:05:45,520 level of program participation on 1656 01:05:42,640 --> 01:05:46,559 program success 1657 01:05:45,520 --> 01:05:49,559 and 1658 01:05:46,559 --> 01:05:49,559 yeah 1659 01:05:50,400 --> 01:05:55,039 great ideas for 1660 01:05:52,079 --> 01:05:57,440 next studies had a question about 1661 01:05:55,039 --> 01:05:59,200 other places to if we knew of any other 1662 01:05:57,440 --> 01:06:01,760 places to gather data on 1663 01:05:59,200 --> 01:06:03,440 recidivism rates nationally specifically 1664 01:06:01,760 --> 01:06:05,119 for parents 1665 01:06:03,440 --> 01:06:07,359 1666 01:06:05,119 --> 01:06:09,039 currently I don't think 1667 01:06:07,359 --> 01:06:10,640 that information is available at the 1668 01:06:09,039 --> 01:06:12,480 national level but 1669 01:06:10,640 --> 01:06:14,160 a really good resource for folks that 1670 01:06:12,480 --> 01:06:15,839 are 1671 01:06:14,160 --> 01:06:17,520 on this webinar would be from the 1672 01:06:15,839 --> 01:06:20,000 council of state governments they put 1673 01:06:17,520 --> 01:06:21,280 out a 50-state report a few years ago 1674 01:06:20,000 --> 01:06:24,000 which provided 1675 01:06:21,280 --> 01:06:26,160 some really helpful resources from each 1676 01:06:24,000 --> 01:06:28,160 of the each of the states and how 1677 01:06:26,160 --> 01:06:30,400 they measure recidivism and 1678 01:06:28,160 --> 01:06:33,119 how to find where their reports and 1679 01:06:30,400 --> 01:06:34,799 statistics are so 1680 01:06:33,119 --> 01:06:37,280 I think I think there might be some 1681 01:06:34,799 --> 01:06:40,880 information on that at the state level 1682 01:06:37,280 --> 01:06:40,880 that could be available 1683 01:06:42,319 --> 01:06:45,680 thanks man to follow on to that Melinda 1684 01:06:44,079 --> 01:06:47,760 asked whether 1685 01:06:45,680 --> 01:06:49,280 how trauma 1686 01:06:47,760 --> 01:06:51,440 factors into these statistics 1687 01:06:49,280 --> 01:06:54,480 specifically recidivism rate and 1688 01:06:51,440 --> 01:06:55,359 best looked into to see the correlation 1689 01:06:54,480 --> 01:06:57,200 1690 01:06:55,359 --> 01:07:00,240 so these questions about the individual 1691 01:06:57,200 --> 01:07:02,160 characteristics of individuals within 1692 01:07:00,240 --> 01:07:03,599 within these large and national scale 1693 01:07:02,160 --> 01:07:04,400 studies which 1694 01:07:03,599 --> 01:07:06,240 1695 01:07:04,400 --> 01:07:08,400 you just don't have access to that 1696 01:07:06,240 --> 01:07:10,319 level of individual information 1697 01:07:08,400 --> 01:07:12,319 is that accurate 1698 01:07:10,319 --> 01:07:13,599 right 1699 01:07:12,319 --> 01:07:16,160 could you repeat the first part of that 1700 01:07:13,599 --> 01:07:18,799 question again rich I’m sorry 1701 01:07:16,160 --> 01:07:21,200 sure it's just with regards to how 1702 01:07:18,799 --> 01:07:24,559 the experience of trauma 1703 01:07:21,200 --> 01:07:26,839 right might have an impact on 1704 01:07:24,559 --> 01:07:29,599 on recidivism rates for 1705 01:07:26,839 --> 01:07:31,520 individuals yeah, I think what you said 1706 01:07:29,599 --> 01:07:34,640 is correct there are just not having 1707 01:07:31,520 --> 01:07:36,640 that that level of information for 1708 01:07:34,640 --> 01:07:39,520 individuals for these 1709 01:07:36,640 --> 01:07:39,520 these two studies 1710 01:07:40,240 --> 01:07:44,000 and then there was a question as well 1711 01:07:41,839 --> 01:07:45,680 from Jennifer just under 1712 01:07:44,000 --> 01:07:48,400 the bureau of prisons where the where 1713 01:07:45,680 --> 01:07:50,880 the rehab where is the rehabilitation 1714 01:07:48,400 --> 01:07:52,000 for those with sex offenses 1715 01:07:50,880 --> 01:07:54,160 1716 01:07:52,000 --> 01:07:57,440 so that's 1717 01:07:54,160 --> 01:07:59,200 we could direct you back to our 1718 01:07:57,440 --> 01:08:01,680 federal justice 1719 01:07:59,200 --> 01:08:03,359 statistics program reports at our 1720 01:08:01,680 --> 01:08:05,680 website we don't have 1721 01:08:03,359 --> 01:08:08,799 any representatives directly from 1722 01:08:05,680 --> 01:08:10,000 that group here today but I’m 1723 01:08:08,799 --> 01:08:11,119 quite certain that there's someday 1724 01:08:10,000 --> 01:08:13,359 otherwise 1725 01:08:11,119 --> 01:08:16,080 if not us one of our 1726 01:08:13,359 --> 01:08:16,960 our sister agencies smart 1727 01:08:16,080 --> 01:08:19,759 1728 01:08:16,960 --> 01:08:20,960 would be a good resource to take a look 1729 01:08:19,759 --> 01:08:22,480 specifically Jennifer if you're 1730 01:08:20,960 --> 01:08:23,839 interested in which 1731 01:08:22,480 --> 01:08:25,920 which of the facilities provide 1732 01:08:23,839 --> 01:08:27,359 rehabilitation 1733 01:08:25,920 --> 01:08:30,239 for those with 1734 01:08:27,359 --> 01:08:32,400 individuals with sex offenses 1735 01:08:30,239 --> 01:08:35,359 and I think I think that is that is it 1736 01:08:32,400 --> 01:08:35,359 unless 1737 01:08:35,679 --> 01:08:39,279 thank you, Adrian, there's one section 1738 01:08:37,120 --> 01:08:40,960 funded management program 1739 01:08:39,279 --> 01:08:43,199 so we have a question from Linda is 1740 01:08:40,960 --> 01:08:45,199 there anything that probation officers 1741 01:08:43,199 --> 01:08:47,040 do to help ensure the collection of 1742 01:08:45,199 --> 01:08:50,839 accurate statistics 1743 01:08:47,040 --> 01:08:54,159 even from a county or state 1744 01:08:50,839 --> 01:08:56,400 level Danielle are you still on you're our 1745 01:08:54,159 --> 01:08:58,640 resident probation 1746 01:08:56,400 --> 01:09:00,640 expert 1747 01:08:58,640 --> 01:09:02,560 yes 1748 01:09:00,640 --> 01:09:05,040 yes, I am but 1749 01:09:02,560 --> 01:09:06,719 no the answer to the question is no 1750 01:09:05,040 --> 01:09:08,159 basically 1751 01:09:06,719 --> 01:09:11,359 it really 1752 01:09:08,159 --> 01:09:12,880 varies widely from state to state on 1753 01:09:11,359 --> 01:09:14,719 what types of 1754 01:09:12,880 --> 01:09:16,319 community correction statistics are 1755 01:09:14,719 --> 01:09:19,440 collected 1756 01:09:16,319 --> 01:09:20,880 by agencies by POs 1757 01:09:19,440 --> 01:09:22,880 and sent 1758 01:09:20,880 --> 01:09:24,319 to the state or to 1759 01:09:22,880 --> 01:09:27,120 us 1760 01:09:24,319 --> 01:09:30,000 at DOJ trying to collect national 1761 01:09:27,120 --> 01:09:30,960 statistics on community corrections 1762 01:09:30,000 --> 01:09:34,560 we 1763 01:09:30,960 --> 01:09:35,600 have a hard time even getting 1764 01:09:34,560 --> 01:09:39,600 the 1765 01:09:35,600 --> 01:09:41,199 sex of people on probation so if if 1766 01:09:39,600 --> 01:09:43,759 some of that information is being 1767 01:09:41,199 --> 01:09:45,839 collected it is 1768 01:09:43,759 --> 01:09:48,400 usually not 1769 01:09:45,839 --> 01:09:50,480 being sent to the state 1770 01:09:48,400 --> 01:09:52,400 and is definitely not being sent 1771 01:09:50,480 --> 01:09:53,679 to us at the federal level 1772 01:09:52,400 --> 01:09:55,760 so I think 1773 01:09:53,679 --> 01:09:57,840 that information would 1774 01:09:55,760 --> 01:09:58,719 vary like I said widely state to state 1775 01:09:57,840 --> 01:10:00,239 and 1776 01:09:58,719 --> 01:10:02,960 you know digging into some of the state 1777 01:10:00,239 --> 01:10:04,560 reports there might be some information 1778 01:10:02,960 --> 01:10:09,400 but not 1779 01:10:04,560 --> 01:10:09,400 not widely enough that I would know 1780 01:10:19,199 --> 01:10:23,280 okay thank you did anyone see any 1781 01:10:20,960 --> 01:10:25,280 questions that came in that 1782 01:10:23,280 --> 01:10:27,280 that we 1783 01:10:25,280 --> 01:10:29,920 answered the question rich somebody was 1784 01:10:27,280 --> 01:10:32,480 asking I think they were noticing 1785 01:10:29,920 --> 01:10:34,640 that Indiana wasn't in the 1786 01:10:32,480 --> 01:10:36,080 recidivism studies that were discussed 1787 01:10:34,640 --> 01:10:36,880 and 1788 01:10:36,080 --> 01:10:39,040 the 1789 01:10:36,880 --> 01:10:41,600 the way that that worked in terms of 1790 01:10:39,040 --> 01:10:43,600 states being included was 1791 01:10:41,600 --> 01:10:46,320 having them report their 1792 01:10:43,600 --> 01:10:48,880 prison release information through BJS’s 1793 01:10:46,320 --> 01:10:52,080 national corrections reporting program 1794 01:10:48,880 --> 01:10:54,159 and needing to have the state 1795 01:10:52,080 --> 01:10:55,920 identifiers to be able to collect the 1796 01:10:54,159 --> 01:10:57,280 criminal history data so that was that 1797 01:10:55,920 --> 01:10:58,719 was one of the data elements that was 1798 01:10:57,280 --> 01:11:00,400 needed to 1799 01:10:58,719 --> 01:11:04,080 be 1800 01:11:00,400 --> 01:11:04,080 included in the recidivism study 1801 01:11:10,480 --> 01:11:14,960 all right well wonderful and thank you 1802 01:11:12,480 --> 01:11:15,679 again everyone for presenting and 1803 01:11:14,960 --> 01:11:18,880 1804 01:11:15,679 --> 01:11:22,000 to NRC and to BJA for having us and to 1805 01:11:18,880 --> 01:11:23,600 to help to thank you 1806 01:11:22,000 --> 01:11:26,320 those of you who 1807 01:11:23,600 --> 01:11:27,600 were here and joined us today and 1808 01:11:26,320 --> 01:11:29,600 thank you for the work that you're doing 1809 01:11:27,600 --> 01:11:31,520 in the community and thank you for 1810 01:11:29,600 --> 01:11:33,679 your interest in this important 1811 01:11:31,520 --> 01:11:35,679 topic and 1812 01:11:33,679 --> 01:11:38,640 we look forward to seeing you out in 1813 01:11:35,679 --> 01:11:40,719 the field and as we things begin to 1814 01:11:38,640 --> 01:11:42,080 open up again or you're able to connect 1815 01:11:40,719 --> 01:11:44,239 a little bit more directly in person 1816 01:11:42,080 --> 01:11:46,800 we're looking forward to that and 1817 01:11:44,239 --> 01:11:49,199 always as always you can always come 1818 01:11:46,800 --> 01:11:52,080 to us and ask questions 1819 01:11:49,199 --> 01:11:54,640 ask BJS was a great resource 1820 01:11:52,080 --> 01:11:57,600 many of the statisticians on the line 1821 01:11:54,640 --> 01:11:59,600 today respond directly to these types 1822 01:11:57,600 --> 01:12:01,440 of questions through our 1823 01:11:59,600 --> 01:12:02,880 our press 1824 01:12:01,440 --> 01:12:06,719 manager and so 1825 01:12:02,880 --> 01:12:09,199 we we're always welcome your 1826 01:12:06,719 --> 01:12:11,120 your questions and your input and 1827 01:12:09,199 --> 01:12:12,880 we appreciate the work that you're all 1828 01:12:11,120 --> 01:12:15,840 doing in in all the different areas and 1829 01:12:12,880 --> 01:12:18,239 sectors across this country so thanks 1830 01:12:15,840 --> 01:12:21,480 thanks everyone we appreciate it and 1831 01:12:18,239 --> 01:12:21,480 stay strong 1832 01:13:21,120 --> 01:13:23,199