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NCJ Number: 148301 Find in a Library
Title: DOC Forecast Monitoring Report, 4th Quarter, 1993
Corporate Author: Delaware Statistical Analysis Ctr
United States of America
Date Published: 1994
Page Count: 10
Sponsoring Agency: Delaware Statistical Analysis Ctr
Dover, DE 19901
National Institute of Justice/
Rockville, MD 20849
NCJRS Photocopy Services
Rockville, MD 20849-6000
Publication Number: 10-07-03-94-02-04
Sale Source: National Institute of Justice/
NCJRS paper reproduction
Box 6000, Dept F
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America

Delaware Statistical Analysis Ctr
410 Federal Street, Suite 6
Dover, DE 19901
United States of America
Document: PDF
Type: Legislation/Policy Description
Language: English
Country: United States of America
Annotation: This report presents the inmate population forecasts by the Delaware Department of Corrections from December 31, 1991 to December 31, 1993.
Abstract: The report describes the total population of detained and sentenced persons and the subpopulations of pretrial detentions, jail inmates with sentences of 1 year and less, and prison inmates with sentences greater than 1 year. The tables contain the actual and forecasted admissions and population, the difference, and the difference expressed as a percentage of the actual. The tables reveal that total admissions for the fourth quarter of 1993 were 3,359, or 5.4 percent below the forecast of 3,551. The population at the end of the quarter was 4,274, or 9.4 percent below the forecasted 4,719. The three crimes for which the combination of admissions and population were higher or lower than the normal variation for the total forecast were capias/contempt admissions, which were 19.6 percent below forecast; miscellaneous admissions, which were 31 percent above forecast; and probation violation admissions, which were 23.9 percent below forecast. Figures and tables
Main Term(s): Corrections statistics
Index Term(s): Delaware; Prison population prediction
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=148301

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