The Uniform Crime Reporting Program Data, Police Employee Data, 2010 file contains monthly data on felonious or accidental killings and assaults upon United States law enforcement officers acting in the line of duty. The Federal Bureau of Investigation (FBI) assembled the data and processed them from UCR Master Police Employee (LEOKA) data tapes.
Each agency record included in the file includes the following summary variables: state code, population group code, geographic division, Metropolitan Statistical Area code, and agency name. These variables afford considerable flexibility in creating subsets or aggregations of the data.
Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as a periodic nationwide assessment of reported crimes not available elsewhere in the criminal justice system. Each year, this information is reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Police Employee (LEOKA) Data provide information about law enforcement officers killed or assaulted (hence the acronym, LEOKA) in the line of duty. The variables created from the LEOKA forms provide in-depth information on the circumstances surrounding killings or assaults, including type of call answered, type of weapon used, and type of patrol the officers were on.
United States Department of Justice. Federal Bureau of Investigation. Uniform Crime Reporting Program Data: Police Employee (LEOKA) Data, 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-06-19. https://doi.org/10.3886/ICPSR33525.v1
- RIS (generic format for RefWorks, EndNote, etc.)
United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics,
United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
states, counties, cities
Inter-university Consortium for Political and Social Research