Home Hate Crime 2010 Data Declarations Table 5, Data Declaration

Table 5, Data Declaration

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Offenses, Known Offender’s Race, by Bias Motivation, 2010

The FBI collects these data through the Uniform Crime Reporting (UCR) Program’s Hate
Crime Statistics Program.

General comments

  • This table presents the number of hate crime offenses distributed by the known
    offender’s race and bias motivation.
  • The Hate Crime Statistics Program collects data about both single-bias and
    multiple-bias hate crimes. A single-bias incident is defined as an incident in
    which one or more offense types are motivated by the same bias. A multiple-bias
    incident is defined as an incident in which more than one offense type occurs and
    at least two offense types are motivated by different biases.
  • The Hate Crime Statistics Program collects details about an offender’s bias
    motivation associated with 11 offense types already being reported to the UCR
    Program: murder and nonnegligent manslaughter, forcible rape, aggravated
    assault, simple assault, and intimidation (crimes against persons); and robbery,
    burglary, larceny-theft, motor vehicle theft, arson, and destruction/damage/vandalism
    (crimes against property). The law enforcement agencies that participate in the
    UCR Program via the National Incident-Based Reporting System collect data
    about additional offenses for crimes against persons and crimes against property.
    These data appear in Hate Crime Statistics in the category of other.
  • The term known offender does not imply that the suspect’s identity is known;
    rather, the term indicates that some aspect of the suspect was identified, thus
    distinguishing the suspect from an unknown offender.


The data used in creating this table were from all law enforcement agencies submitting
one or more hate crime incidents for at least 1 month of the calendar year. The
published data, therefore, do not necessarily represent reports from each participating
agency for 12 months or 4 quarters.