2.23% BERLIN 272 230 42 84.50% 30 -19 88.60% BROOKLYN 498 440 58 88.35% 37 -15 92.77% CANAAN 418 374 44 89.47% 15 -15 89.47% DANBURY 274 255 19 93.07% 10 -10 93.07% DEVENS 505 456 49 90.30% 23 -13 92.28% ELKTON 349 324 25 92.84% 10 -7 93.70% FAIRTON 289 27

email asking for the name of a DOJ-OIG employee he could contact to make the complaint. met while working at the FEDERAL CORRECTIONAL INSTITUTE, DANBURY in Danbury, Connecticut around 2000. ' current post at the METROPOLITAN CORRECTIONAL CENTER (MCC) is at the rear gate. has worked there for sever

email asking for the name of a DOJ-OIG employee he could contact to make the complaint. met while working at the FEDERAL CORRECTIONAL INSTITUTE, DANBURY in Danbury, Connecticut around 2000. ' current post at the METROPOLITAN CORRECTIONAL CENTER (MCC) is at the rear gate. has worked there for sever

email asking for the name of a DOJ-OIG employee he could contact to make the complaint. met while working at the FEDERAL CORRECTIONAL INSTITUTE, DANBURY in Danbury, Connecticut around 2000. works in the Community Corrections current post at the METROPOLITAN CORRECTIONAL CENTER (MCC) is at the rear