The FBI’s Uniform Crime Reporting (UCR) Program defines burglary as the unlawful entry of a structure to commit a felony or theft. To classify an offense as a burglary, the use of force to gain entry need not have occurred. The UCR Program has three subclassifications for burglary: forcible entry, unlawful entry where no force is used, and attempted forcible entry. The UCR definition of “structure” includes an apartment, barn, house trailer or houseboat when used as a permanent dwelling, office, railroad car (but not automobile), stable, and vessel (i.e., ship).
- In 2014, there were an estimated 1,729,806 burglaries, a decrease of 10.5 percent when compared with 2013 data.
- The number of burglaries decreased 20.2 percent when compared with 2010 and was down 19.7 percent when compared with the 2005 estimate. (See Table 1/1A)
- The estimated number of burglaries accounted for 20.9 percent of the estimated number of property crimes. (Based on Table 1/1A)
- By subcategory, 58.3 percent of burglaries involved forcible entry, 35.2 percent were unlawful entries, and 6.5 percent were attempted forcible entry.(See Table 19)
- Victims of burglary offenses suffered an estimated $3.9 billion in property losses in 2014. Overall, when the average value was applied to the estimated number of burglaries, the average dollar loss per burglary offense was $2,251. (Based on Tables 1 and 23)
- Burglaries of residential properties accounted for 73.2 percent of all burglary offenses. (See Table 23)
Expanded offense data are the details of the various offenses that the UCR Program collects beyond the count of how many crimes law enforcement agencies report. These details may include the type of weapon used in a crime, the type or value of items stolen, and so forth. In addition, expanded data include trends (for example, 2-year comparisons) and rates per 100,000 inhabitants.
Expanded information regarding burglary is available in the following tables:
What you won't find on this page
- Larceny-theft and robbery data.
- Clearance and arrest data for burglary.
Universities and Colleges
State, Tribal and Other Agencies
Cities and Counties Grouped by Size (Population Group)
Metropolitan Statistical Areas (MSAs) (Table 6)
Expanded Offense Data