United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. Census of Jail Facilities, 2006. ICPSR26602-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2010-01-26. https://doi.org/10.3886/ICPSR26602.v1
Persistent URL: https://doi.org/10.3886/ICPSR26602.v1
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Date of Collection:
All locally administered jails in the United States.
The respondent universe was derived from a facility list
maintained by the Census Bureau for BJS, from correctional
association directories, and from other secondary sources.
Census forms were sent to each jail jurisdiction. In addition to a paper form, BJS offered respondents an electronic version via the internet, allowing them to complete and submit their completed questionnaires on-line.
Mode of Data Collection:
Because the census was a complete enumeration, the results were not subject to sampling error. The results were affected, however, by significant item nonresponse. Missing data ranged from 20 percent to 44 percent for average daily population; staff by full-time and part-time status; gender; race/ethnicity; and occupational category; jail programs; costs of incarceration; and individual jail rated capacity. Complete or nearly complete reporting was recorded on the number of jail facilities, number of jail jurisdictions, type of facility operator, size of jail
jurisdiction and number of jail staff. To estimate the total number of jail employees, nationwide, total reported staff was divided by the number of jurisdictions reporting staff, and the result was multiplied by the total number of jurisdictions.
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:
Created variable labels and/or value labels.
Standardized missing values.
Performed recodes and/or calculated derived variables.
Checked for undocumented or out-of-range codes.