Standardizing the Display of IBR Data: Property Variables
Additional Examples of Displaying Property Variables
Property variables have been used in various reports to show the value of unrecovered property and the types of property most often stolen. Presented below are examples of tables using property variables. SPSS code is presented with each table.
The first table looks at the average value of stolen property in Utah in 1998.
Example 1. Larceny, Value of Stolen Property
Produced by the Utah Commission on Criminal and Juvenile Justice in Property Crime in Utah: Original Research using Incident-Based Crime Data, 1999.
Type of Larceny
|Average Property Value|
|Theft From Building||$489.02|
|All Other Larceny||462.31|
|Theft From Motor Vehicle||281.19|
|From Coin-Operated Machine||320.53|
|Theft of Motor Vehicle Parts or Accessories||194.67|
The top dollar values stolen in larceny offenses are thefts from buyildings and thefts
from motor vehicles. Purse-snatching, pocket-picking, and shoplifting consistently
have the lowest average property value stolen. Shoplifters may be limited in their
ability to conceal large amounts of property. Pocket-picking and purse-snatching are
low due to the small amount of cash people generally have on their person.
To create this table, only larceny offenses were selected. A table was then produced, displaying the average value of the property involved in these offenses.
The next table compares the type of property stolen from juveniles and adults. This table uses 1996 and 1997 data from the National Crime Victimization Survey (NCVS), but can also be derived using NIBRS data. NOTE: The property types in the syntax have been modified to reflect NIBRS categories.
Example 2. Types of Property Stolen from Juvenile and Adult Victims
Adapted from David Finkelhor and Richard Ormrod's publication, Juvenile Victims of Property Crimes. Published by the Office of Juvenile Justice and Delinquency Prevention, December 2000.
|Property Stolen||Percentage of Items||Property Stolen||Percentage of Items|
|Electronic, photo gear||18%||Motor vehicle or parts||19%|
|Clothing, luggage||17||Electronic, photo gear||10|
|Other personal objects||13||Other personal objects||10|
|Only cash||10||Tools, machines||9|
|Jewelry, watch, keys||9||Clothing, luggage||7|
|Bicycle or parts||9||Other items||6|
|Toys, recreation equipment||4||Jewelry, watch, keys||6|
|Other items||3||Credit cards||6|
|Motor vehicle or parts||2||Bicycle or parts||3|
|Credit cards||1||Television, stereo, appliances||3|
|Collections||1||Toys, recreation equipment||3|
|Television, stereo, appliances||<.05||Other household effects||2|
|Tools, machines||<.05||Foor, liquor||1|
|Animals||<.05||Farm, garden produce||1|
|Other household effects||<.05||Handgun||1|
|Farm, garden produce||<.05||Animals||1|
|Firearm (other than handgun)||<.01||Silver, china||<.05|
|Silver, china||0||Firearm (other than handgun)||<.05|
This chart was created by matching the property and victim segments, selecting property described as stolen.