Law Enforcement Management and Administrative Statistics (LEMAS), 2007 (ICPSR 31161)
Principal Investigator(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
Summary:
Every three to four years, the Bureau of Justice Statistics (BJS) surveys a nationally representative sample of state and local law enforcement agencies. The surveys are conducted as part of the Law Enforcement Management and Administrative Statistics (LEMAS) program. Data include agency personnel, expenditures and pay, operations, community policing initiatives, equipment, computers and information systems, and written policies. The LEMAS survey has been conducted in 1987, 1990, 1993, 1997, 1999 (limited scope), 2000, 2003, and 2007.
Series: Law Enforcement Management and Administrative Statistics (LEMAS) Series
Access Notes
These data are freely available.
Dataset(s)
ASCII + SAS Setup SPSS Setup Stata Setup
Study Description
Citation
United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. Law Enforcement Management and Administrative Statistics (LEMAS), 2007. ICPSR31161-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2011-07-07. doi:10.3886/ICPSR31161.v1
Persistent URL: http://dx.doi.org/10.3886/ICPSR31161.v1
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Scope of Study
Subject Terms: administration, budgets, law enforcement, law enforcement agencies, management, personnel, police departments, statistical data, wages and salaries, workers
Geographic Coverage: United States
Time Period:
- 2007
Date of Collection:
- 2007
Unit of Observation: agency
Universe: Publicly funded state and local law enforcement agencies in the United States in 2007.
Data Types: survey data
Methodology
Sample: Based on employment data from the 2004 BJS Census of State and Local Law Enforcement Agencies (CSLLEA), the original 2007 LEMAS survey sample included 3,224 state and local law enforcement agencies. The sample was designed to be representative of all general purpose state and local law enforcement agencies in the United States, with separate samples drawn for local police departments and sheriffs' offices. Agencies serving special jurisdictions (such as schools, airports, or parks) or with special enforcement responsibilities (such hunting and fishing laws or alcohol laws) were considered out of scope for the survey. Sheriffs' offices without primary law enforcement jurisdiction were also considered out of scope for the survey. In addition, some smaller local police departments were determined to have closed since the 2004 CSLLEA and were dropped from the sample. After all out-of-scope and closed agencies were dropped, the final sample size for the survey was 3,095. The final sample included 950 self-representing (SR) agencies with 100 or more sworn personnel, and 2,145 nonself-representing (NSR) agencies employing fewer than 100 sworn personnel. The SR agencies included 591 local police departments, 310 sheriffs' offices, and 49 state law enforcement agencies. All 950 SR agencies received the 49-item CJ-44L questionnaire. The NSR local police agencies were selected using a stratified random sample with cells based on the number of sworn personnel. The NSR sheriffs' offices were selected using a simple random sample. Overall, the NSR sample included 1,504 local police departments and 641 sheriffs' offices. All 2,145 NSR agencies received the 40-item CJ-44S questionnaire.
Mode of Data Collection: self-enumerated questionnaire
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.
- Checked for undocumented or out-of-range codes.
Version(s)
Original ICPSR Release: 2011-07-07
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