U.S. Dept. of Justice, Bureau of Justice Statistics. ANNUAL SURVEY OF JAILS: JURISDICTION-LEVEL AND JAIL-LEVEL DATA, 1991. Conducted by U.S. Dept. of Commerce, Bureau of the Census. ICPSR ed. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor], 2001. https://doi.org/10.3886/ICPSR06511.v1
Persistent URL: https://doi.org/10.3886/ICPSR06511.v1
- RIS (generic format for RefWorks, EndNote, etc.)
- EndNote XML (EndNote X4.0.1 or higher)
Date of Collection:
All local jails in the United States listed in the NATIONAL
JAIL CENSUS, 1988 (ICPSR 9256).
Data Collection Notes:
(1) The record layout for the Jail-Level Data differs
slightly from the codebook and data definition statements. The
"Census Use Box" variable and the "New Jail Opened Since 1988"
were removed, and the variables concerning death from AIDS were
shifted. Also, the Census Bureau used a nine-digit Government
Identification Number to identify each jail uniquely. This variable
has been broken up into four different variables. Users of the data
will have to combine these four variables to identify a particular
jail. (2) The codebooks are provided by ICPSR as Portable Document
Format (PDF) files. The PDF file format was developed by Adobe Systems
Incorporated and can be accessed using PDF reader software, such as
the Adobe Acrobat Reader. Information on how to obtain a copy of the
Acrobat Reader is provided on the ICPSR Web site.
A stratified random sample of county or city jurisdictions
stratified by average daily population (ADP) as reported by the
NATIONAL JAIL CENSUS, 1988 (ICPSR 9256) with allocation to the strata
based on 1988 ADP.
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of
disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major
statistical software formats as well as standard codebooks to accompany the data. In addition to
these procedures, ICPSR performed the following processing steps for this data collection:
Performed consistency checks.
Standardized missing values.
Performed recodes and/or calculated derived variables.
Checked for undocumented or out-of-range codes.