Hate Crime in California 1
Hate Crime in California2
Hate Crime in California 3
Hate Crime in California4
CALIFORNIA DEPARTMENT OF JUSTICEXavier Becerra, Attorney General
The Role of the Criminal Justice Statistics Center
is to:
Collect, analyze, and report statistical data that provide valid measures of crime and the criminal justice process.
Examine these data on an ongoing basis to better describe crime and the criminal justice system.
Promote the responsible presentation and use of crime statistics.
Hate Crime in California 1
Executive SummaryHate Crime in California
2019Hate Crime in California 2019 presents statistics on hate crimes1 reported by California law enforcement agencies that occurred during 2019 with prior years included for context. These statistics include the number of hate crime events2, hate crime offenses3, victims of hate crimes, and suspects of hate crimes. This report also provides statistics reported by district and elected city attorneys on the number of hate crime cases referred to prosecutors, the number of cases filed in court, and the disposition of those cases. These data are provided to assist in policy development and to inform the public on the nature and frequency of the reported hate crimes in California. The total number of hate crime events, offenses, and suspects decreased while the total number of victims increased in 2019. The following statements highlight the major trends in Hate Crime in California for 2019.
Local law enforcement agencies are required to report hate crimes to the Department of Justice (DOJ) in compliance with California Penal Code Section 13023. California Penal Code Section 422.55 defines a hate crime as “a criminal act committed, in whole or in part, because of one or more of the following actual or perceived characteristics of the victim: (1) disability, (2) gender, (3) nationality, (4) race or ethnicity, (5) religion, (6) sexual orientation, (7) association with a person or group with one or more of these actual or perceived characteristics.”
Crime DataThe number of hate crime events have fluctuated over the last decade. In the last 10 years, hate crime events have decreased by 8.3 percent with 1107 reported in 2010 and 1015 reported in 2019 (Table 11). The lowest year for reported hate crime events was 2014 with 758 events (Table 11).
Hate crime events decreased 4.8 percent from 1,066 in 2018 to 1,015 in 2019 (Table 11).
The number of victims of reported hate crimes increased 0.8 percent from 1,237 in 2018 to 1,247 in 2019 (Table 15).
The number of suspects of reported hate crimes decreased 11.5 percent from 1,093 in 2018 to 967 in 2019 (Table 15).
1 This report contains information related to hate crimes as defined in PC section 422.55. This report does not contain reports of hate incidents that do not rise to the level of
a hate crime2 The term event is defined as an occurrence where a hate crime is involved. (In this report, the information about the event is a crime report or source document that meets
the criteria for a hate crime.) There may be one or more suspects involved, one or more victims targeted, and one or more offenses involved for each event.
3 The term offense is defined as criminal acts that are recorded as follows: murder, rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft, arson,
simple assault, intimidation, and destruction/vandalism as defined in the Uniform Crime Reporting (UCR) and the national Hate Crimes Statistics Report.
Hate Crime in California2
Hate crime events involving a racial bias overall decreased 12.0 percent from 594 in 2018 to 523 in 2019 (Table 11).
• Anti-black or African American bias events fell from 276 in 2018 to 243 in 2019, a decrease of 12.0 percent.
• Anti-Hispanic or Latino bias events fell from 149 in 2018 to 110 in 2019, a decrease of 26.2 percent.
Hate crime events involving a religion bias increased 3.5 percent from 201 in 2018 to 208 in 2019 (Table 11).
• Anti-Jewish bias events rose from 126 in 2018 to 141 in 2019, an increase of 11.9 percent.• Anti-Islamic (Muslim) bias events fell from 28 in 2018 to 25 in 2019.
Hate crime events involving a sexual orientation bias decreased 2.1 percent from 238 in 2018 to 233 in 2019 (Table 11).
• Bias events against gay men or men perceived to be gay rose from 169 in 2018 to 172 in 2019, an increase of 1.8 percent.
• Events involving sexual orientation bias generally fell from 41 in 2018 to 35 in 2019.
Hate crime offenses decreased 0.6 percent from 1,268 in 2018 to 1,261 in 2019 (Table 12).• Violent crime offenses increased 3.1 percent from 838 in 2018 to 864 in 2019 (Table 13).• Property crime offenses decreased 8.5 percent from 426 in 2018 to 390 in 2019 (Table 13).
Prosecutorial DataOf the 392 hate crimes that were referred for prosecution, 288 cases were filed by district attorneys and elected city attorneys for prosecution. Of the 288 cases that were filed for prosecution, 200 were filed as hate crimes and 88 were filed as non-bias motivated crimes (Table 7A).
Of the 166 cases with a disposition available for this report:• 49.4 percent (82) were hate crime convictions;• 44.6 percent (74) were other convictions; and• 6.0 percent (10) were not convicted (Table 7B).
Hate Crime in California 3
Understanding the DataData Characteristics and Known Limitations
Crime DataThe following information and limitations should be considered when using hate crime data:
1) A hate crime event contains the occurrence of one or more criminal offenses, committed against one or more victims, by one or more suspects or perpetrators. Victims can have more than one offense committed against them.
2) Hate crimes reported by law enforcement agencies are counted in a specific way. In each hate crime event, the DOJ counts the total number of victims, the total number of suspects, and the total number of criminal offenses in one event. These totals are then classified and counted by type of bias motivation (e.g., anti-black or African American, anti-Hispanic or Latino, anti-Jewish, anti-gay, etc.), type of crime (e.g., murder, aggravated assault, burglary, destruction/vandalism, etc.), the location where the crime took place (e.g., residence, street, synagogue, school, etc.), and the type of victim (e.g., individual, property, etc.).
3) The DOJ requested that each law enforcement agency establish procedures incorporating a two-tier review (decision-making) process. The first level is done by the initial officer who responds to the suspected hate crime incident. At the second level, each report is reviewed by at least one other officer to confirm that the event was, in fact, a hate crime.
4) Caution should be used when making jurisdictional comparisons. The following factors should be considered: cultural diversity and population density; size of law enforcement agencies; and the training received in the identification of hate crimes by law enforcement officers in each jurisdiction.
5) The following factors may influence the volume of hate crimes reported to the DOJ:
• Cultural practices of individuals and their likeliness to report hate crimes to law enforcement agencies.
• Strength and investigative emphasis of law enforcement agencies.
• Policies of law enforcement agencies.
• Community policing policies.
Hate Crime in California4
6) In 2009, the DOJ began collecting information on hate crimes involving multiple-bias motivations. Law enforcement agencies were able to report up to five bias motivations for each hate-related event, as long as there was a unique offense for each bias motivation.
In 2011, the DOJ expanded the acceptable location codes for the California hate crime data collection system to reflect modifications implemented at the national level.
In 2013, the DOJ expanded the gender bias category for the California hate crime data collection system to include crimes motivated by gender non-conformity in order to reflect modifications implemented at the national level.
In 2014, the DOJ expanded the religion bias for the California hate crime data collection system to include Sikh in order to reflect modifications implemented at the national level.
In 2015, the DOJ expanded the race and ethnicity bias category for the California hate crime data collection system to include Native Hawaiian or Pacific Islander in order to reflect modifications implemented at the national level.
In 2019, Orange County Sheriff disclosed that they unintentionally under-reported four 2018 hate crimes during the reporting cycle.
7) There is a significant difference between how crimes against an individual is counted versus how a crime against an entity is counted that stems from the DOJ’s Criminal Justice Statistics Center’s use of the Federal Bureau of Investigation’s (FBI’s) Uniform Crime Reporting (UCR) program standards. A property crime against an entity (a business, religious organization, government institution, etc.) can only be counted as one victim, whereas a crime committed against individuals can have more than one victim
8) In 2013, the FBI’s UCR program revised the definition of “forcible rape” (the carnal knowledge of a female forcibly and against her will) to “rape,” which is now defined as “penetration, no matter how slight, of the vagina or anus with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim.” The California DOJ implemented this definition change in January 2014.
Hate Crime in California 5
County District Attorney andElected City Attorney Prosecutorial Data
The following information and limitations should be considered when interpreting hate crime cases:
1) In order to show the criminal justice system’s response to hate crimes, in 1995 the Attorney General asked all district attorneys and elected city attorneys to submit summary data of complaints filed and convictions secured.
2) The 2019 District Attorney’s and Elected City Attorney’s Report File of Hate Crime Cases contains summary data based on cases referred to each district attorney or elected city attorney, and filings and convictions that occurred from January 1, 2019, through December 31, 2019.
3) When viewing prosecutorial data, it is not possible to relate the number of hate crimes reported by law enforcement agencies to the number of hate crimes prosecuted by district attorneys and city attorneys. First, crimes often occur in different reporting years than their subsequent prosecutions. Second, the number of crimes reported by law enforcement is much higher than those calling for prosecutorial action since the latter requires an arrested defendant who can be prosecuted in a court of law.
4) The annual prosecutorial report collects data on the total number of hate crime cases filed and the total number of hate crime convictions. There is no direct relationship between “complaints filed” and “convictions” since a case may be filed in one year and the outcome (trial or pleading) may occur in another.
5) All prosecutorial data include hate crimes committed by both juvenile and adult defendants.
6) Glenn County District Attorney did not report data for 2014.
Hate Crime in California6
List of Data TablesCRIME DATA, 2019
Table 1 Hate Crimes, 2019 Events, Offenses, Victims, and Suspects by Bias Motivation ............................................8
Table 2 Hate Crimes, 2019 Offenses by Type of Crime ..................................................................................................9
Table 3 Hate Crimes, 2019 Events, Offenses, Victims, and Suspects by Location .......................................................10
Table 4 Hate Crimes, 2019 Victim Type by Bias Motivation .......................................................................................... 11
Table 5 Hate Crimes, 2019 Victim Type by Location .....................................................................................................12
Table 6 Hate Crimes, 2019 Events, Offenses, Victims, and Suspects by County and Jurisdiction ..............................13
PROSECUTORIAL DATA, 2019
Table 7A Hate Crime Prosecutorial Survey Responses, 2019 Number of Cases Referred to Prosecutors by Law Enforcement, Rejections, and Filings by Type ......................................................................................... 20
Table 7B Hate Crime Prosecutorial Survey Responses, 2019 Number of Hate Crime Case Dispositions ....................................................................... 20
Table 8 Hate Crime Prosecutorial Survey Responses, 2019 Number of Cases Referred to Prosecutors and Type of Filing by Agency .......................21
Table 9 Hate Crime Prosecutorial Survey Responses, 2019 Number of Dispositions of Hate Crime Cases Reported by Agency ............................... 23
Table 10 Hate Crime Prosecutorial Survey Responses, 2010–2019 Number of Complaints Filed as Hate Crimes and Total Convictions by Type of Prosecuting Attorney ........................................................................................... 25
Hate Crime in California 7
TREND DATA, 2010–2019
Table 11 Hate Crimes, 2010–2019 Events by Bias Motivation ................................................................................................. 26
Table 12 Hate Crimes, 2010–2019 Offenses by Bias Motivation ............................................................................................. 27
Table 13 Hate Crimes, 2010–2019 Offenses by Type of Crime ................................................................................................ 28
Table 14 Hate Crimes, 2010–2019 Offenses by Location ......................................................................................................... 29
Table 15 Hate Crimes, 2010–2019 Events, Offenses, Victims, and Suspects .......................................................................... 30
Table 16 Hate Crimes, 2010–2019 Events by Location ............................................................................................................ 30
Table 17 Hate Crimes, 2010–2019 Single-Bias Events by Bias Motivation .............................................................................. 30
Table 18 Hate Crimes, 2010–2019 Single-Bias Events by Race/Ethnicity/National Origin .......................................................31
Table 19 Hate Crimes, 2010–2019 Single-Bias Events by Religion ...........................................................................................31
Table 20 Hate Crimes, 2010–2019 Single-Bias Events by Sexual Orientation ..........................................................................31
Table 21 Hate Crimes, 2010–2019 Single-Bias Events by Gender ............................................................................................ 32
Table 22 Hate Crimes, 2010–2019 Single-Bias Offenses by Category ..................................................................................... 32
Table 23 Hate Crimes, 2010–2019 Single-Bias Offenses by Type of Violent Crime ................................................................. 32
Table 24 Hate Crimes, 2010–2019 Single-Bias Offenses by Type of Property Crime .............................................................. 32
APPENDICES
Appendix Glossary .............................................................................................................................. 33
Hate Crime in California8
Events Offenses Victims
Total................................................................. 1,015 100.0 1,261 100.0 1,247 100.0 967 100.0
Single-bias total............................................... 1,013 99.8 1,254 99.4 1,240 99.4 964 99.7
Race/ethnicity/national origin......................... 523 51.5 100.0 665 52.7 100.0 655 52.5 100.0 501 51.8 100.0 Anti-white.................................................... 39 3.8 7.5 41 3.3 6.2 41 3.3 6.3 45 4.7 9.0 Anti-black or African American.................... 243 23.9 46.5 297 23.6 44.7 293 23.5 44.7 231 23.9 46.1 Anti-Hispanic or Latino................................ 110 10.8 21.0 154 12.2 23.2 150 12.0 22.9 129 13.3 25.7 Anti-American Indian/ Alaskan native.......................................... 1 0.1 0.2 1 0.1 0.2 1 0.1 0.2 0 0.0 0.0
Anti-Asian................................................... 43 4.2 8.2 58 4.6 8.7 58 4.7 8.9 39 4.0 7.8 Anti-Native Hawaiian or Pacific Islander...... 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0 Anti-Arab..................................................... 20 2.0 3.8 31 2.5 4.7 30 2.4 4.6 14 1.4 2.8 Anti-multiple races (group).......................... 26 2.6 5.0 36 2.9 5.4 36 2.9 5.5 10 1.0 2.0 Anti-other ethnicity/ national origin.......................................... 32 3.2 6.1 38 3.0 5.7 37 3.0 5.6 22 2.3 4.4
Anti-citizenship status................................. 9 0.9 1.7 9 0.7 1.4 9 0.7 1.4 11 1.1 2.2
Religion.......................................................... 208 20.5 100.0 267 21.2 100.0 266 21.3 100.0 101 10.4 100.0 Anti-Jewish................................................. 141 13.9 67.8 165 13.1 61.8 165 13.2 62.0 53 5.5 52.5 Anti-Catholic............................................... 7 0.7 3.4 7 0.6 2.6 7 0.6 2.6 4 0.4 4.0 Anti-Protestant............................................ 1 0.1 0.5 1 0.1 0.4 1 0.1 0.4 0 0.0 0.0 Anti-Islamic (Muslim)................................... 25 2.5 12.0 49 3.9 18.4 49 3.9 18.4 23 2.4 22.8 Anti-Sikh..................................................... 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0
Anti-multiple religions (group)...................... 7 0.7 3.4 7 0.6 2.6 7 0.6 2.6 3 0.3 3.0 Anti-other religion........................................ 27 2.7 13.0 38 3.0 14.2 37 3.0 13.9 18 1.9 17.8 Anti-atheism/agnosticism/etc....................... 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0
Sexual orientation.......................................... 233 23.0 100.0 263 20.9 100.0 260 20.9 100.0 282 29.2 100.0 Anti-gay (male)............................................ 172 16.9 73.8 198 15.7 75.3 195 15.6 75.0 227 23.5 80.5 Anti-lesbian................................................. 22 2.2 9.4 25 2.0 9.5 25 2.0 9.6 20 2.1 7.1 Anti-LGBTQ................................................ 35 3.4 15.0 36 2.9 13.7 36 2.9 13.8 31 3.2 11.0 Anti-heterosexual........................................ 1 0.1 0.4 1 0.1 0.4 1 0.1 0.4 0 0.0 0.0 Anti-bisexual............................................... 3 0.3 1.3 3 0.2 1.1 3 0.2 1.2 4 0.4 1.4
Physical/mental disability............................... 10 1.0 100.0 10 0.8 100.0 10 0.8 100.0 13 1.3 100.0 Anti-physical disability................................. 6 0.6 60.0 6 0.5 60.0 6 0.5 60.0 8 0.8 61.5 Anti-mental disability................................... 4 0.4 40.0 4 0.3 40.0 4 0.3 40.0 5 0.5 38.5
Gender........................................................... 39 3.8 100.0 49 3.9 100.0 49 3.9 100.0 67 6.9 100.0 Anti-male.................................................... 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0 0 0.0 0.0 Anti-female.................................................. 7 0.7 17.9 9 0.7 18.4 9 0.7 18.4 7 0.7 10.4 Anti-transgender......................................... 29 2.9 74.4 36 2.9 73.5 36 2.9 73.5 56 5.8 83.6 Anti-gender non-conforming........................ 3 0.3 7.7 4 0.3 8.2 4 0.3 8.2 4 0.4 6.0
Multiple-bias total............................................. 2 0.2 100.0 7 0.6 100.0 7 0.6 100.0 3 0.3 100.0 Anti-gay/anti-transgender............................ 1 0.1 50.0 4 0.3 57.1 4 0.3 57.1 2 0.2 66.7 Anti-gay/anti-Hispanic or Latino................... 1 0.1 50.0 3 0.2 42.9 3 0.2 42.9 1 0.1 33.3Notes: Percentages may not add to subtotals or 100.0 because of rounding. An event indicates the occurrence of one or more criminal offenses committed against one or more victims by one or more suspects. For a more complete definition of each term, please refer to Appendix: Glossary.
NumberPercent of bias Number Percent
of totalPercent of biasNumber Percent
of total
Table 1HATE CRIMES, 2019
Events, Offenses, Victims, and Suspects by Bias Motivation
Bias motivationSuspects
Number Percent of bias
Percent of total
Percent of bias
Percent of total
Hate Crime in California 9
Total................................... 1,261 100.0
Single-bias total................. 1,254 99.4 Violent crimes.................. 864 68.5 100.0 Murder........................... 1 0.1 0.1 Rape.............................. 3 0.2 0.3 Robbery......................... 40 3.2 4.6 Aggravated assault........ 290 23.0 33.6 Simple assault............... 270 21.4 31.3 Intimidation.................... 260 20.6 30.1 Property crimes............... 390 30.9 100.0 Burglary......................... 12 1.0 3.1 Larceny-theft................. 5 0.4 1.3 Motor vehicle theft......... 1 0.1 0.3 Arson............................. 11 0.9 2.8 Destruction/vandalism... 361 28.6 92.6
Multiple-bias total.............. 7 0.6 Violent crimes.................. 6 0.5 Simple assault............... 2 0.2 Intimidation.................... 4 0.3 Property crimes............... 1 0.1 Destruction/vandalism... 1 0.1Note: Percentages may not add to subtotals or 100.0 because of rounding.
Type of crimeOffenses
Table 2HATE CRIMES, 2019
Offenses by Type of Crime
Percent of category
Percent of totalNumber
Hate Crime in California10
Table 3HATE CRIMES, 2019
Events, Offenses, Victims, and Suspects by Location
Events Offenses Victims SuspectsNumber Percent Number Percent Number Percent Number Percent
Total............................................................. 1,015 100.0 1,261 100.0 1,247 100.0 967 100.0
Single-bias total.......................................... 1,013 99.8 1,254 99.4 1,240 99.4 964 99.7
Abandoned/condemned structure........... 1 0.1 1 0.1 1 0.1 2 0.2 Air/bus/train terminal............................... 27 2.7 30 2.4 30 2.4 37 3.8 Amusement park.................................... 0 0.0 0 0.0 0 0.0 0 0.0 Arena/stadium/fairgrounds/coliseum....... 3 0.3 3 0.2 3 0.2 1 0.1 Bank/savings and loan............................ 2 0.2 6 0.5 5 0.4 2 0.2
Bar/night club......................................... 13 1.3 18 1.4 17 1.4 21 2.2 Camp/campground................................. 0 0.0 0 0.0 0 0.0 0 0.0 Church/synagogue/temple...................... 66 6.5 83 6.6 82 6.6 40 4.1 Commercial/office building...................... 33 3.3 42 3.3 40 3.2 18 1.9 Community center.................................. 5 0.5 5 0.4 5 0.4 4 0.4
Construction site..................................... 1 0.1 1 0.1 1 0.1 0 0.0 Convenience store.................................. 14 1.4 18 1.4 18 1.4 17 1.8 Daycare facility....................................... 2 0.2 2 0.2 2 0.2 0 0.0 Department/discount store...................... 9 0.9 12 1.0 11 0.9 7 0.7 Dock/wharf/freight/modal terminal.......... 1 0.1 1 0.1 1 0.1 1 0.1
Drug store/Dr.'s office/hospital................ 8 0.8 9 0.7 9 0.7 7 0.7 Farm facility............................................ 0 0.0 0 0.0 0 0.0 0 0.0 Field/woods/park.................................... 10 1.0 13 1.0 13 1.0 9 0.9 Gambling facility/casino/race track......... 0 0.0 0 0.0 0 0.0 0 0.0 Government/public building.................... 13 1.3 20 1.6 20 1.6 10 1.0
Grocery/supermarket.............................. 15 1.5 17 1.3 17 1.4 15 1.6 Highway/road/alley/street........................ 280 27.6 343 27.2 341 27.3 335 34.6 Hotel/motel/etc....................................... 5 0.5 5 0.4 5 0.4 6 0.6 Industrial site.......................................... 0 0.0 0 0.0 0 0.0 0 0.0 Jail/prison............................................... 22 2.2 26 2.1 26 2.1 31 3.2
Lake/waterway/beach............................. 4 0.4 4 0.3 4 0.3 3 0.3 Liquor store............................................ 10 1.0 11 0.9 11 0.9 10 1.0 Park/playground..................................... 42 4.1 51 4.0 51 4.1 42 4.3 Parking lot/garage.................................. 77 7.6 100 7.9 98 7.9 63 6.5 Rental storage facility............................. 2 0.2 2 0.2 2 0.2 0 0.0
Residence/home/driveway...................... 179 17.6 237 18.8 233 18.7 169 17.5 Rest area................................................ 1 0.1 1 0.1 1 0.1 1 0.1 Restaurant.............................................. 30 3.0 37 2.9 37 3.0 26 2.7 School, college/university....................... 28 2.8 38 3.0 38 3.0 13 1.3 School, elementary/secondary................ 60 5.9 60 4.8 60 4.8 36 3.7
Service/gas station................................. 11 1.1 12 1.0 12 1.0 9 0.9 Shelter/mission/homeless....................... 4 0.4 4 0.3 4 0.3 4 0.4 Shopping mall......................................... 2 0.2 2 0.2 2 0.2 2 0.2 Specialty store (TV, fur, etc.).................. 4 0.4 8 0.6 8 0.6 1 0.1 Tribal lands............................................. 0 0.0 0 0.0 0 0.0 0 0.0
Other/unknown....................................... 29 2.9 32 2.5 32 2.6 22 2.3
Multiple-bias total........................................ 2 0.2 7 0.6 7 0.6 3 0.3 Bar/night club......................................... 1 0.1 4 0.4 4 0.4 2 0.2 Restaurant.............................................. 1 0.1 3 0.3 3 0.3 1 0.1Notes: Percentages may not add to 100.0 because of rounding. An event indicates the occurrence of one or more criminal offenses committed against one or more victims by one or more suspects. For a more complete definition of each criminal justice term, please refer to Appendix: Glossary.
Location
Hate Crime in California 11
Table 4HATE CRIMES, 2019
Victim Type by Bias Motivation
Number Percent Number Percent Number Percent Number Percent Number Percent Number PercentTotal............................................................. 1,247 100.0 1,073 100.0 67 100.0 60 100.0 41 100.0 6 100.0
Single-bias total........................................... 1,240 99.4 1,066 99.3 67 100.0 60 100.0 41 100.0 6 100.0
Race/ethnicity/national origin..................... 655 52.5 587 54.7 31 46.3 33 55.0 1 2.4 3 50.0 Anti-white................................................ 41 3.3 41 3.8 0 0.0 0 0.0 0 0.0 0 0.0 Anti-black or African American................ 293 23.5 258 24.0 14 20.9 20 33.3 0 0.0 1 16.7 Anti-Hispanic or Latino............................ 150 12.0 149 13.9 1 1.5 0 0.0 0 0.0 0 0.0 Anti-American Indian/ Alaskan native...................................... 1 0.1 0 0.0 1 1.5 0 0.0 0 0.0 0 0.0
Anti-Asian............................................... 58 4.7 50 4.7 7 10.4 1 1.7 0 0.0 0 0.0 Anti-Native Hawaiian or Pacific Islander.. 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 Anti-Arab................................................. 30 2.4 27 2.5 1 1.5 0 0.0 0 0.0 2 33.3 Anti-multiple races (group)...................... 36 2.9 23 2.1 4 6.0 8 13.3 1 2.4 0 0.0 Anti-other ethnicity/ national origin...................................... 37 3.0 31 2.9 3 4.5 3 5.0 0 0.0 0 0.0
Anti-citizenship status............................. 9 0.7 8 0.7 0 0.0 1 1.7 0 0.0 0 0.0
Religion...................................................... 266 21.3 175 16.3 33 49.3 23 38.3 33 80.5 2 33.3 Anti-Jewish............................................. 165 13.2 105 9.8 26 38.8 20 33.3 12 29.3 2 33.3 Anti-Catholic........................................... 7 0.6 0 0.0 3 4.5 0 0.0 4 9.8 0 0.0 Anti-Protestant........................................ 1 0.1 0 0.0 1 1.5 0 0.0 0 0.0 0 0.0 Anti-Islamic (Muslim).............................. 49 3.9 49 4.6 0 0.0 0 0.0 0 0.0 0 0.0 Anti-Sikh................................................. 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
Anti-multiple religions (group)................. 7 0.6 0 0.0 2 3.0 2 3.3 3 7.3 0 0.0 Anti-other religion.................................... 37 3.0 21 2.0 1 1.5 1 1.7 14 34.1 0 0.0 Anti-atheism/agnosticism/etc.................. 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
Sexual orientation...................................... 260 20.9 245 22.8 3 4.5 4 6.7 7 17.1 1 16.7 Anti-gay (male)....................................... 195 15.6 190 17.7 0 0.0 3 5.0 2 4.9 0 0.0 Anti-lesbian............................................. 25 2.0 25 2.3 0 0.0 0 0.0 0 0.0 0 0.0 Anti-LGBTQ............................................ 36 2.9 26 2.4 3 4.5 1 1.7 5 12.2 1 16.7 Anti-heterosexual.................................... 1 0.1 1 0.1 0 0.0 0 0.0 0 0.0 0 0.0 Anti-bisexual........................................... 3 0.2 3 0.3 0 0.0 0 0.0 0 0.0 0 0.0
Physical/mental disability........................... 10 0.8 10 0.9 0 0.0 0 0.0 0 0.0 0 0.0 Anti-physical disability............................. 6 0.5 6 0.6 0 0.0 0 0.0 0 0.0 0 0.0 Anti-mental disability............................... 4 0.3 4 0.4 0 0.0 0 0.0 0 0.0 0 0.0
Gender...................................................... 49 3.9 49 4.6 0 0.0 0 0.0 0 0.0 0 0.0 Anti-male................................................ 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 Anti-female............................................. 9 0.7 9 0.8 0 0.0 0 0.0 0 0.0 0 0.0 Anti-transgender..................................... 36 2.9 36 3.4 0 0.0 0 0.0 0 0.0 0 0.0 Anti-gender non-conforming.................... 4 0.3 4 0.4 0 0.0 0 0.0 0 0.0 0 0.0
Multiple-bias total......................................... 7 0.6 7 0.7 0 0.0 0 0.0 0 0.0 0 0.0 Anti-gay/anti-transgender........................ 4 0.3 4 0.3 0 0.0 0 0.0 0 0.0 0 0.0 Anti-gay/anti-Hispanic or Latino.............. 3 0.2 3 0.2 0 0.0 0 0.0 0 0.0 0 0.0Notes: Percentages may not add to subtotals because of rounding. Crimes committed against property (e.g., a business, government institution, religious organization, etc.) can only be counted as one victim, whereas a crime committed against an individual can have more than one victim per event. For a more complete definition of each term, please refer to Appendix: Glossary.
OtherBias motivation Total IndividualBusiness/ financial
institutionGovernment Religious
organization
Hate Crime in California12
Table 5HATE CRIMES, 2019
Victim Type by Location
Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent1,247 100.0 1,073 100.0 67 100.0 60 100.0 41 100.0 6 100.0
1,240 99.4 1,066 99.3 67 100.0 60 100.0 41 100.0 6 100.0
1 0.1 1 0.1 0 0.0 0 0.0 0 0.0 0 0.030 2.4 29 2.7 0 0.0 1 1.7 0 0.0 0 0.00 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.03 0.2 2 0.2 0 0.0 1 1.7 0 0.0 0 0.05 0.4 5 0.5 0 0.0 0 0.0 0 0.0 0 0.0
17 1.4 17 1.6 0 0.0 0 0.0 0 0.0 0 0.00 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
82 6.6 34 3.2 9 13.4 0 0.0 39 95.1 0 0.040 3.2 30 2.8 8 11.9 2 3.3 0 0.0 0 0.05 0.4 3 0.3 1 1.5 0 0.0 0 0.0 1 16.7
1 0.1 0 0.0 1 1.5 0 0.0 0 0.0 0 0.018 1.4 18 1.7 0 0.0 0 0.0 0 0.0 0 0.02 0.2 0 0.0 1 1.5 1 1.7 0 0.0 0 0.0
11 0.9 7 0.7 4 6.0 0 0.0 0 0.0 0 0.01 0.1 1 0.1 0 0.0 0 0.0 0 0.0 0 0.0
9 0.7 8 0.7 1 1.5 0 0.0 0 0.0 0 0.00 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
13 1.0 9 0.8 0 0.0 3 5.0 0 0.0 1 16.70 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
20 1.6 15 1.4 1 1.5 4 6.7 0 0.0 0 0.0
17 1.4 16 1.5 1 1.5 0 0.0 0 0.0 0 0.0341 27.3 318 29.6 10 14.9 12 20.0 1 2.4 0 0.0
5 0.4 5 0.5 0 0.0 0 0.0 0 0.0 0 0.00 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
26 2.1 26 2.4 0 0.0 0 0.0 0 0.0 0 0.0
4 0.3 4 0.4 0 0.0 0 0.0 0 0.0 0 0.011 0.9 11 1.0 0 0.0 0 0.0 0 0.0 0 0.051 4.1 38 3.5 5 7.5 8 13.3 0 0.0 0 0.098 7.9 92 8.6 5 7.5 1 1.7 0 0.0 0 0.02 0.2 2 0.2 0 0.0 0 0.0 0 0.0 0 0.0
233 18.7 231 21.5 0 0.0 0 0.0 0 0.0 2 33.31 0.1 1 0.1 0 0.0 0 0.0 0 0.0 0 0.0
37 3.0 34 3.2 3 4.5 0 0.0 0 0.0 0 0.038 3.0 24 2.2 2 3.0 11 18.3 1 2.4 0 0.060 4.8 34 3.2 10 14.9 15 25.0 0 0.0 1 16.7
12 1.0 10 0.9 2 3.0 0 0.0 0 0.0 0 0.04 0.3 4 0.4 0 0.0 0 0.0 0 0.0 0 0.02 0.2 2 0.2 0 0.0 0 0.0 0 0.0 0 0.08 0.6 8 0.7 0 0.0 0 0.0 0 0.0 0 0.00 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0
32 2.6 27 2.5 3 4.5 1 1.7 0 0.0 1 16.7
7 0.6 7 0.7 0 0.0 0 0.0 0 0.0 0 0.04 0.3 4 0.4 0 0.0 0 0.0 0 0.0 0 0.03 0.2 3 0.3 0 0.0 0 0.0 0 0.0 0 0.0
Notes: Percentages may not add to 100.0 because of rounding. Crimes committed against property (e.g., a business, government institution, religious organization, etc.) can only be counted as one victim, whereas a crime committed against an individual can have more than one victim per event. For a more complete definition of each term, please refer to Appendix: Glossary.
Government Religious organization Other
Total.........................................................
Single-bias total......................................
Abandoned/condemned structure......... Air/bus/train terminal............................. Amusement park...................................
LocationTotal Individual
Business/ financial institution
Arena/stadium/fairgrounds/coliseum..... Bank/savings and loan..........................
Bar/night club........................................ Camp/campground............................... Church/synagogue/temple.................... Commercial/office building.................... Community center.................................
Construction site................................... Convenience store................................ Daycare facility...................................... Department/discount store.................... Dock/wharf/freight/modal terminal........
Drug store/Dr.'s office/hospital.............. Farm facility........................................... Field/woods/park................................... Gambling facility/casino/race track....... Government/public building..................
Grocery/supermarket............................ Highway/road/alley/street...................... Hotel/motel/etc...................................... Industrial site......................................... Jail/prison..............................................
Lake/waterway/beach........................... Liquor store...........................................
School, elementary/secondary..............
Park/playground.................................... Parking lot/garage................................. Rental storage facility............................
Residence/home/driveway.................... Rest area............................................... Restaurant.............................................
Bar/night club........................................ Restaurant.............................................
Other/unknown......................................
Multiple-bias total....................................
School, college/university......................
Shelter/mission/homeless..................... Shopping mall....................................... Specialty store (TV, fur, etc.)................. Tribal lands...........................................
Service/gas station................................
Hate Crime in California 13
Total........................................................ 1,015 1,261 1,247 967
Single Bias Total..................................... 1,013 1,254 1,240 964
Alameda County.................................. 44 55 54 40Alameda ........................................... 2 4 4 6Berkeley ........................................... 8 9 8 4CSU East Bay................................... 1 1 1 0Dublin ............................................... 1 1 1 1Emeryville ......................................... 1 1 1 1
Fremont ............................................ 4 6 6 5Hayward ........................................... 4 5 5 2Livermore ......................................... 2 2 2 2Oakland ............................................ 13 17 17 15San Leandro ..................................... 2 2 2 1
Union City ......................................... 6 7 7 3
Alpine County....................................... 0 0 0 0
Amador County.................................... 0 0 0 0
Butte County........................................ 5 6 6 3Chico ................................................ 2 2 2 1CSU Chico........................................ 1 2 2 0Oroville ............................................. 2 2 2 2
Calaveras County................................ 0 0 0 0
Colusa County..................................... 0 0 0 0
Contra Costa County........................... 34 38 37 29Antioch ............................................. 4 4 4 3Brentwood ........................................ 4 4 4 3Concord ........................................... 2 2 2 2El Cerrito .......................................... 1 1 1 0Martinez ........................................... 2 2 2 0
Pittsburg ........................................... 3 4 4 3Pleasant Hill ..................................... 1 1 1 1Richmond ......................................... 9 10 9 11San Ramon ...................................... 3 5 5 2Walnut Creek ................................... 5 5 5 4
Del Norte County................................. 0 0 0 0
El Dorado County................................. 1 1 1 0South Lake Tahoe ............................ 1 1 1 0
(continued)
Table 6HATE CRIMES, 2019
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
Hate Crime in California14
Fresno County..................................... 16 19 19 16Clovis ............................................... 1 1 1 0Fresno .............................................. 14 16 16 15Parlier ............................................... 1 2 2 1
Glenn County....................................... 1 1 1 1Sheriff's Dept..................................... 1 1 1 1
Humboldt County................................. 10 17 17 5CSU Humboldt.................................. 8 15 15 3Eureka .............................................. 2 2 2 2
Imperial County.................................... 1 1 1 2Imperial ............................................ 1 1 1 2
Inyo County.......................................... 0 0 0 0
Kern County......................................... 7 9 9 8Arvin ................................................. 1 1 1 1Bakersfield ....................................... 3 4 4 4Delano .............................................. 2 3 3 2Ridgecrest ........................................ 1 1 1 1
Kings County........................................ 0 0 0 0
Lake County......................................... 3 8 8 3Clearlake .......................................... 3 8 8 3
Lassen County..................................... 0 0 0 0
Los Angeles County............................. 405 473 471 404Sheriff's Dept..................................... 15 20 19 20Azusa ............................................... 3 3 3 3Bell ................................................... 2 2 2 2Bell Gardens .................................... 1 1 1 1Bellflower........................................... 1 2 2 2
Beverly Hills ..................................... 9 9 9 6Burbank ............................................ 7 8 8 5Claremont ........................................ 2 2 2 1Compton........................................... 1 1 1 1CSU Northridge................................. 1 1 1 1
El Monte ........................................... 3 4 4 2El Segundo ....................................... 1 1 1 1Hawthorne ........................................ 6 8 8 9Huntington Park ............................... 2 2 2 2LA Transit Services Bureau.............. 4 4 4 3
(continued)
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
HATE CRIMES, 2019Table 6 - continued
Hate Crime in California 15
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
HATE CRIMES, 2019Table 6 - continued
Lancaster.......................................... 9 10 9 7Long Beach ...................................... 23 26 26 17Los Angeles ..................................... 283 331 331 297Malibu................................................ 1 1 1 1Montebello ........................................ 1 1 1 0
Monterey Park .................................. 1 1 1 1Palmdale........................................... 3 3 3 1Pasadena ......................................... 4 5 5 1Pico Rivera........................................ 1 1 1 1Pomona ............................................ 5 5 5 2
Redondo Beach ............................... 1 2 2 0Rosemead......................................... 1 1 1 1San Gabriel ...................................... 2 3 3 4Santa Clarita..................................... 2 2 2 2Santa Monica ................................... 4 7 7 6
South El Monte.................................. 2 2 2 1Torrance ........................................... 2 2 2 2West Hollywood................................ 1 1 1 0Whittier ............................................. 1 1 1 1
Madera County.................................... 0 0 0 0
Marin County........................................ 13 15 15 10Sheriff's Dept..................................... 4 4 4 4Central Marin Police Authority........... 1 2 2 0Novato .............................................. 2 2 2 1San Rafael ....................................... 6 7 7 5
Mariposa County.................................. 0 0 0 0
Mendocino County............................... 2 2 2 4Sheriff's Dept..................................... 2 2 2 4
Merced County..................................... 1 1 1 1Sheriff's Dept..................................... 1 1 1 1
Modoc County...................................... 0 0 0 0
Mono County........................................ 0 0 0 0
Monterey County.................................. 7 13 13 8Sheriff's Dept..................................... 1 1 1 1Greenfield ........................................ 1 1 1 1Marina .............................................. 1 2 2 1Monterey .......................................... 1 2 2 2
(continued)
Hate Crime in California16
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
HATE CRIMES, 2019Table 6 - continued
Salinas ............................................. 1 1 1 1Seaside ............................................ 2 6 6 2
Napa County........................................ 2 2 2 2Sheriff's Dept..................................... 2 2 2 2
Nevada County.................................... 1 1 1 1Sheriff's Dept..................................... 1 1 1 1
Orange County..................................... 72 91 89 52Sheriff's Dept..................................... 9 9 9 8Brea .................................................. 5 5 5 3Buena Park ...................................... 1 1 1 1Costa Mesa ...................................... 3 4 4 3Cypress ............................................ 1 2 2 1
Fountain Valley ................................ 1 4 4 2Fullerton ........................................... 2 2 2 2Garden Grove .................................. 3 4 4 2Huntington Beach ............................. 8 12 12 4Irvine ................................................ 7 9 8 5
Laguna Woods.................................. 1 1 1 0Lake Forest ...................................... 1 1 1 0Mission Viejo .................................... 2 2 2 3Orange ............................................. 3 3 3 4Placentia .......................................... 1 1 1 1
Rancho Santa Margarita................... 2 2 2 0San Clemente .................................. 5 6 6 6Santa Ana ........................................ 11 12 12 5UC Irvine .......................................... 1 1 1 0Westminster ..................................... 3 7 6 1
Yorba Linda ...................................... 2 3 3 1
Placer County...................................... 6 7 6 6Roseville ........................................... 6 7 6 6
Plumas County.................................... 0 0 0 0
Riverside County.................................. 36 46 44 31Sheriff's Dept..................................... 5 6 6 3Beaumont ......................................... 1 1 1 0Cathedral City .................................. 1 1 1 1Coachella ......................................... 1 2 2 2Moreno Valley .................................. 1 1 1 1
(continued)
Hate Crime in California 17
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
HATE CRIMES, 2019Table 6 - continued
Palm Springs .................................... 11 15 14 11Riverside .......................................... 15 19 18 12Temecula ......................................... 1 1 1 1
Sacramento County............................. 16 21 21 37Sheriff's Dept..................................... 4 5 5 8Citrus Heights .................................. 2 2 2 11Elk Grove.......................................... 1 1 1 1Folsom ............................................. 1 1 1 1Galt ................................................... 1 2 2 1
Rancho Cordova .............................. 1 1 1 2Sacramento ...................................... 6 9 9 13
San Benito County............................... 0 0 0 0
San Bernardino County........................ 25 27 27 33Sheriff's Dept..................................... 2 2 2 6Apple Valley ..................................... 2 3 3 2Big Bear............................................ 1 1 1 1Chino ................................................ 3 3 3 1Fontana ............................................ 1 1 1 1
Ontario ............................................. 1 1 1 1Rancho Cucamonga ........................ 1 1 1 1Redlands .......................................... 2 2 2 1Rialto ................................................ 1 2 2 2San Bernardino ................................ 8 8 8 14
Upland .............................................. 2 2 2 2Yucca Valley .................................... 1 1 1 1
San Diego County................................ 101 139 139 81Sheriff's Dept..................................... 24 33 33 25Imperial Beach ................................. 4 6 6 3Lemon Grove ................................... 1 2 2 1Poway .............................................. 2 5 5 2San Marcos ...................................... 2 2 2 2
Carlsbad ........................................... 5 7 7 5Chula Vista ....................................... 9 14 14 6Coronado ......................................... 2 2 2 4CSU San Diego................................. 1 1 1 1El Cajon ............................................ 1 1 1 0
Escondido ........................................ 4 11 11 4 (continued)
Hate Crime in California18
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
HATE CRIMES, 2019Table 6 - continued
National City ..................................... 1 1 1 1Oceanside ........................................ 8 8 8 7San Diego ........................................ 30 39 39 15San Diego Harbor ............................ 5 5 5 5UC San Diego................................... 2 2 2 0
San Francisco County......................... 65 86 85 82CSU San Francisco.......................... 1 1 1 1San Francisco .................................. 64 85 84 81
San Joaquin County............................. 5 6 5 6Stockton ........................................... 4 5 4 5Tracy ................................................ 1 1 1 1
San Luis Obispo County...................... 13 20 20 12Sheriff's Dept..................................... 2 3 3 2Paso Robles ..................................... 1 1 1 1San Luis Obispo ............................... 10 16 16 9
San Mateo County............................... 17 19 18 13Sheriff's Dept..................................... 4 4 4 3Belmont ............................................ 2 2 2 2Brisbane ........................................... 1 1 1 0Pacifica ............................................ 1 1 1 2Redwood City ................................... 1 1 1 2
San Bruno ........................................ 1 1 1 3San Mateo ........................................ 7 9 8 1
Santa Barbara County......................... 1 1 1 1Sheriff's Dept..................................... 1 1 1 1
Santa Clara County.............................. 49 62 62 30Sheriff's Dept..................................... 5 6 6 4Cupertino .......................................... 1 1 1 1Palo Alto ........................................... 3 3 3 2San Jose .......................................... 33 38 38 20Santa Clara Transit District............... 1 1 1 1
Sunnyvale ........................................ 6 13 13 2
Santa Cruz County............................... 10 15 14 7Sheriff's Dept..................................... 7 9 8 5Capitola ............................................ 1 1 1 0Santa Cruz ....................................... 2 5 5 2
Shasta County..................................... 1 1 1 1Redding ............................................ 1 1 1 1
(continued)
Hate Crime in California 19
Events, Offenses, Victims, and Suspects by County and Jurisdiction
County and jurisdiction Events Offenses Victims Suspects
HATE CRIMES, 2019Table 6 - continued
Sierra County....................................... 0 0 0 0
Siskiyou County................................... 0 0 0 0
Solano County..................................... 7 7 7 2Fairfield ............................................ 2 2 2 1Vacaville ........................................... 5 5 5 1
Sonoma County................................... 11 13 13 12Windsor............................................. 1 1 1 1Petaluma .......................................... 4 4 4 4Rohnert Park .................................... 1 1 1 3Santa Rosa ...................................... 5 7 7 4
Stanislaus County................................ 7 8 8 6Modesto ........................................... 3 4 4 1Oakdale ............................................ 1 1 1 1Turlock ............................................. 3 3 3 4
Sutter County....................................... 1 1 1 1Yuba City .......................................... 1 1 1 1
Tehama County................................... 2 2 2 5Red Bluff .......................................... 2 2 2 5
Trinity County....................................... 0 0 0 0
Tulare County...................................... 1 3 3 0Sheriff's Dept..................................... 1 3 3 0
Tuolumne County................................ 1 2 1 1Sheriff's Dept..................................... 1 2 1 1
Ventura County.................................... 7 7 7 5Camarillo .......................................... 1 1 1 1Oxnard ............................................. 1 1 1 1Thousand Oaks ................................ 1 1 1 0Ventura ............................................. 4 4 4 3
Yolo County......................................... 5 7 7 2Davis ................................................ 1 1 1 0UC Davis........................................... 4 6 6 2
Yuba County........................................ 1 1 1 1Marysville ......................................... 1 1 1 1
Multiple Bias Total.................................. 2 7 7 3Los Angeles County............................. 1 4 4 2
Los Angeles ..................................... 1 4 4 2Santa Clara County.............................. 1 3 3 1
Palo Alto ........................................... 1 3 3 1
Hate Crime in California20
392 114 288 100.0 200 69.4 88 30.6327 88 248 100.0 185 74.6 63 25.4
65 26 40 100.0 15 37.5 25 62.5Note: Hate Crime Prosecution Survey is conducted by the Criminal Justice Statistics Center in January following the reporting year.1 Multiple criminal case filings can result from individual cases referred so total filings and cases rejected can exceed total referred.
Total..................................... County District Attorneys... Elected City Attorneys.......
Number Number
Table 7AHATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2019
Number of Cases Referred to Prosecutors by Law Enforcement, Rejections, and Filings by Type
Type of prosecuting attorney
Hate crime cases referred to prosecutors
Cases rejected
Criminal case filings1
Type of case filing
Cases filed as hate crimes
Cases filed as non-bias
motivated crimesNumber PercentPercent Number Percent Number
Number of Hate Crime Case Dispositions
166 100.0 10 6.0 74 44.6 82 49.4 78 95.1 4 4.9157 100.0 10 6.4 74 47.1 73 46.5 70 95.9 3 4.1
9 100.0 0 0.0 0 0.0 9 100.0 8 88.9 1 11.1Note: Hate Crime Prosecution Survey is conducted by the Criminal Justice Statistics Center in January following the reporting year.
Total..................................... County District Attorneys... Elected City Attorneys........
Number Percent Number Percent Number PercentNumber Percent Number Percent Number Percent
Table 7BHATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2019
Type of prosecutingattorney
Hate crime cases with dispositions
Not convicted All other convictions
Total hate crime convictions
Hate crime convictionsGuilty plea/
nolo contendere Trial verdict
Hate Crime in California 21
Table 8HATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2019
Number of Cases Referred to Prosecutors and Type of Filing by Agency
392 200 88
327 185 637 6 00 0 00 0 02 0 01 1 0
0 0 08 5 10 0 01 0 00 0 0
0 0 03 1 10 0 00 0 05 3 0
0 0 03 2 10 0 0
64 62 00 0 0
4 3 30 0 03 1 00 0 00 0 0
0 0 06 2 00 0 00 0 0
30 14 6
0 2 00 0 0
17 5 39 1 10 0 0
Plumas....................................... Riverside.................................... Sacramento............................... San Benito.................................
Mono.......................................... Monterey.................................... Napa.......................................... Nevada...................................... Orange.......................................
Placer........................................
Madera......................................
Marin.......................................... Mariposa.................................... Mendocino................................. Merced....................................... Modoc........................................
Humboldt...................................
Kern...........................................
Kings.......................................... Lake........................................... Lassen....................................... Los Angeles...............................
Amador......................................
Imperial...................................... Inyo............................................
Butte..........................................
Colusa....................................... Contra Costa.............................. Del Norte................................... El Dorado................................... Fresno.......................................
Glenn.........…................…..........
(continued)
Agency Total hate crime cases referred
Total cases filed as hate crimes
Total cases filed as non-bias motivated
crimes
County District Attorneys.............
Calaveras...................................
Total.............................................
Alpine......................................... Alameda.....................................
Hate Crime in California22
Table 8 - continuedHATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2019
Number of Cases Referred to Prosecutors and Type of Filing by Agency
2 0 066 30 1624 16 24 4 08 3 6
3 2 07 3 1
16 2 116 6 2
14 8 4
0 0 00 0 00 0 00 0 00 0 0
0 0 00 0 00 0 04 0 01 1 0
6 2 33 0 20 0 0
65 15 25
0 0 00 0 00 0 04 4 0
47 3 23
0 0 00 0 00 0 08 3 20 0 0
6 5 0
Notes: Hate Crime Prosecution Survey is conducted by the Criminal Justice Statistics Center in January following the reporting year. The number of complaints filed by county district attorneys and elected city attorneys or the number of cases that resulted in hate crime convictions cannot be linked to the number of hate crimes reported by law enforcement agencies in any given year.
San Francisco............................
Compton....................................
Oakland.....................................
San Bernardino..........................
Long Beach................................
Ventura...................................... Yolo........................................... Yuba..........................................
Elected City Attorneys..................
Huntington Beach......................
Stanislaus..................................
Sutter......................................... Tehama...................................... Trinity.........................................
Los Angeles...............................
San Diego..................................
Redondo Beach.........................
San Rafael.................................
Chula Vista................................
Tulare........................................ Tuolumne...................................
San Bernardino..........................
Agency
Solano....................................... Sonoma.....................................
San Joaquin............................... San Luis Obispo........................
San Mateo................................. Santa Barbara............................ Santa Clara................................ Santa Cruz……………………….. Shasta.......................................
Total cases filed as non-bias motivated
crimes
Total hate crime cases referred
San Diego.................................. San Francisco............................
Sierra......................................... Siskiyou.....................................
Total cases filed as hate crimes
Hate Crime in California 23
Table 9HATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2019
Number of Dispositions of Hate Crime Cases Reported by AgencyConvictions
Hate crime convictions
166 10 156 82 78 4 74
157 10 147 73 70 3 746 0 6 1 1 0 50 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 01 1 0 0 0 0 0
0 0 0 0 0 0 05 2 3 1 1 0 20 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 0
0 0 0 0 0 0 01 0 1 1 1 0 00 0 0 0 0 0 00 0 0 0 0 0 03 0 3 0 0 0 3
0 0 0 0 0 0 02 1 1 1 1 0 00 0 0 0 0 0 0
62 2 60 17 16 1 430 0 0 0 0 0 0
3 2 1 0 0 0 10 0 0 0 0 0 01 0 1 0 0 0 10 0 0 0 0 0 00 0 0 0 0 0 0
0 0 0 0 0 0 02 0 2 2 2 0 00 0 0 0 0 0 00 0 0 0 0 0 0
14 0 14 13 12 1 1
2 0 2 2 2 0 00 0 0 0 0 0 05 0 5 2 2 0 31 0 1 1 1 0 00 0 0 0 0 0 0
0 0 0 0 0 0 021 1 20 13 13 0 76 1 5 5 4 1 01 0 1 1 1 0 03 0 3 1 1 0 2
2 0 2 2 2 0 00 0 0 0 0 0 02 0 2 2 2 0 06 0 6 3 3 0 35 0 5 3 3 0 2
0 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 0
(continued)
Calaveras...........................
Colusa............................... Contra Costa...................... Del Norte............................ El Dorado........................... Fresno...............................
Kern...................................
Kings..................................
Total.......................................
County District Attorneys...... Alameda............................. Alpine................................. Amador.............................. Butte..................................
Lassen...............................
Glenn.........…................….. Humboldt........................... Imperial.............................. Inyo....................................
Mendocino.........................
Lake...................................
Merced............................... Modoc................................
Mono..................................
Los Angeles....................... Madera..............................
Marin.................................. Mariposa............................
Placer................................ Plumas............................... Riverside............................ Sacramento.......................
Monterey............................ Napa.................................. Nevada.............................. Orange...............................
San Joaquin....................... San Luis Obispo.................
San Mateo......................... Santa Barbara....................
San Benito.........................
San Bernardino.................. San Diego.......................... San Francisco....................
Siskiyou............................. Solano............................... Sonoma............................. Stanislaus..........................
Santa Clara........................ Santa Cruz…………………… Shasta...............................
Sierra.................................
Guilty plea/ nolo
contendere
Trial verdict
All other convictionsTotal
Agency Total dispositions
Not convicted Total
convictions
Hate Crime in California24
Table 9 - continuedHATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2019
Number of Dispositions of Hate Crime Cases Reported by AgencyConvictions
Hate crime convictions
0 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 01 0 1 0 0 0 1
2 0 2 2 2 0 00 0 0 0 0 0 00 0 0 0 0 0 0
9 0 9 9 8 1 0
0 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 04 0 4 4 4 0 02 0 2 2 1 1 0
0 0 0 0 0 0 00 0 0 0 0 0 00 0 0 0 0 0 03 0 3 3 3 0 00 0 0 0 0 0 0
0 0 0 0 0 0 0Notes: Hate Crime Prosecution Survey is conducted by the Criminal Justice Statistics Center in January following the reporting year. The number of complaints filed by county district attorneys and elected city attorneys or the number of cases that resulted in hate crime convictions cannot be linked to the number of hate crimes reported by law enforcement agencies in any given year.
San Francisco....................
San Bernardino..................
Tuolumne...........................
Ventura.............................. Yolo................................... Yuba..................................
Sutter................................. Tehama.............................. Trinity................................. Tulare................................
Los Angeles.......................
Oakland.............................
San Diego..........................
San Rafael.........................
Elected City Attorneys..........
Chula Vista........................ Compton............................
Long Beach........................ Huntington Beach..............
Redondo Beach.................
All other convictionsTotal
Guilty plea/ nolo
contendere
Trial verdict
Agency Total dispositions
Not convicted Total
convictions
Hate Crime in California 25
200 82 185 73 15 9228 100 221 96 7 4
2017.................. 195 113 186 107 9 62016.................. 173 96 162 88 11 82015.................. 189 119 181 109 8 10
2014a................. 148 99 139 92 9 72013.................. 196 144 184 133 12 112012.................. 158 107 147 100 11 72011.................. 204 154 194 145 10 92010.................. 230 151 219 143 11 8
-12.3 -18.0 -16.3 -24.0 - --13.0 -45.7 -15.5 -49.0 - -
Notes: Hate Crime Prosecution Survey is conducted by the Criminal Justice Statistics Center in January following the reporting year. The number of complaints filed by county district attorneys and elected city attorneys or the number of cases that resulted in hate crime convictions cannot be linked to the number of hate crimes reported by law enforcement agencies. Dash indicates that percent changes are not calculated when the base number is less than 50.a Glenn County District Attorney did not report data for 2014.
2019.................2018.................
Elected City AttorneysComplaints
filedTotal
convictionsComplaints
filedTotal
convictionsComplaints
filedTotal
convictions
Percent change in number2018 to 2019....2010 to 2019....
Table 10HATE CRIME PROSECUTORIAL SURVEY RESPONSES, 2010-2019
Number of Complaints Filed as Hate Crimes and Total Convictions by Type of Prosecuting Attorney
YearTotal County District Attorneys
Hate Crime in California26
2010
-20
1920
18-
2019
1,10
710
0.0
1,06
010
0.0
930
100.
086
310
0.0
758
100.
083
710
0.0
931
100.
01,
093
100.
01,
066
100.
01,
015
100.
0-8
.3-4
.8
1,10
710
0.0
1,05
799
.792
899
.886
099
.775
499
.583
710
0.0
928
99.7
1,09
299
.91,
064
99.8
1,01
399
.8-8
.5-4
.8
613
55.4
587
55.4
528
56.8
489
56.7
412
54.4
428
51.1
519
55.7
602
55.1
594
55.7
523
51.5
-14.
7-1
2.0
474.
235
3.3
404.
338
4.4
283.
734
4.1
566.
047
4.3
484.
539
3.8
--
324
29.3
313
29.5
289
31.1
285
33.0
238
31.4
231
27.6
251
27.0
302
27.6
276
25.9
243
23.9
-25.
0-1
2.0
119
10.7
888.
388
9.5
647.
460
7.9
819.
783
8.9
126
11.5
149
14.0
110
10.8
-7.6
-26.
2
00.
01
0.1
30.
33
0.3
20.
32
0.2
91.
05
0.5
20.
21
0.1
--
322.
930
2.8
232.
530
3.5
192.
519
2.3
222.
437
3.4
343.
243
4.2
--
--
--
--
--
--
10.
15
0.5
30.
33
0.3
00.
0-
-17
1.5
212.
017
1.8
212.
412
1.6
121.
419
2.0
151.
416
1.5
202.
0-
-34
3.1
373.
522
2.4
182.
114
1.8
172.
034
3.7
222.
023
2.2
262.
6-
-
An
ti-ot
her e
thni
city
/40
3.6
605.
745
4.8
283.
237
4.9
303.
637
4.0
423.
831
2.9
323.
2-
-
00.
02
0.2
10.
12
0.2
20.
31
0.1
30.
33
0.3
121.
19
0.9
--
198
17.9
201
19.0
145
15.6
129
14.9
127
16.8
190
22.7
171
18.4
207
18.9
201
18.9
208
20.5
5.1
3.5
128
11.6
132
12.5
919.
870
8.1
8010
.697
11.6
828.
810
49.
512
611
.814
113
.910
.211
.910
0.9
60.
67
0.8
70.
85
0.7
111.
312
1.3
201.
810
0.9
70.
7-
-6
0.5
10.
12
0.2
30.
32
0.3
30.
42
0.2
70.
61
0.1
10.
1-
-22
2.0
171.
620
2.2
212.
418
2.4
404.
837
4.0
464.
228
2.6
252.
5-
--
--
--
--
-2
0.3
00.
01
0.1
50.
50
0.0
00.
0-
-
70.
67
0.7
30.
34
0.5
20.
39
1.1
40.
43
0.3
50.
57
0.7
--
252.
338
3.6
212.
324
2.8
182.
429
3.5
333.
522
2.0
302.
827
2.7
--
Anti-
athe
ism
/0
0.0
00.
01
0.1
00.
00
0.0
10.
10
0.0
00.
01
0.1
00.
0-
-
279
25.2
244
23.0
235
25.3
216
25.0
187
24.7
188
22.5
207
22.2
246
22.5
238
22.3
233
23.0
-16.
5-2
.110
79.
710
39.
711
612
.510
612
.378
10.3
108
12.9
152
16.3
172
15.7
169
15.9
172
16.9
60.7
1.8
302.
725
2.4
283.
027
3.1
273.
625
3.0
181.
920
1.8
242.
322
2.2
--
136
12.3
111
10.5
889.
577
8.9
7910
.448
5.7
323.
445
4.1
413.
835
3.4
-74.
3-
30.
32
0.2
10.
13
0.3
10.
13
0.4
40.
46
0.5
10.
11
0.1
--
30.
33
0.3
20.
23
0.3
20.
34
0.5
10.
13
0.3
30.
33
0.3
--
50.
57
0.7
20.
21
0.1
40.
54
0.5
20.
24
0.4
70.
710
1.0
--
30.
33
0.3
00.
00
0.0
20.
34
0.5
20.
22
0.2
30.
36
0.6
--
20.
24
0.4
20.
21
0.1
20.
30
0.0
00.
02
0.2
40.
44
0.4
--
121.
118
1.7
181.
925
2.9
243.
227
3.2
293.
133
3.0
242.
339
3.8
--
00.
04
0.4
20.
20
0.0
00.
00
0.0
10.
10
0.0
00.
00
0.0
--
10.
13
0.3
20.
20
0.0
20.
31
0.1
10.
14
0.4
40.
47
0.7
--
111.
011
1.0
141.
524
2.8
222.
924
2.9
252.
727
2.5
191.
829
2.9
--
--
--
--
10.
10
0.0
20.
22
0.2
20.
21
0.1
30.
3-
-
00.
03
0.3
20.
23
0.3
40.
50
0.0
30.
31
0.1
20.
22
0.2
--
Not
es:
Perc
enta
ges
may
not
add
to s
ubto
tals
or 1
00.0
bec
ause
of r
ound
ing.
Das
h in
dica
tes
that
per
cent
cha
nges
are
not
cal
cula
ted
whe
n th
e ba
se n
umbe
r is
less
than
50,
or t
hat n
o da
ta w
ere
repo
rted.
1 R
epor
ting
of a
nti-N
ativ
e H
awai
ian
or P
acifi
c Is
land
er b
egan
in 2
015.
2 D
ata
do n
ot m
atch
pre
viou
sly
publ
ishe
d re
ports
due
to th
e se
para
tion
of a
nti-A
rab
bias
type
from
ant
i-oth
er e
thni
city
/nat
iona
l orig
in b
ias
type
.3 R
epor
ting
of a
nti-S
ikh
bias
mot
ivat
ion
bega
n in
201
4.4 R
epor
ting
of a
nti-g
ende
r non
-con
form
ing
bias
mot
ivat
ion
bega
n in
201
3.
Anti-
othe
r rel
igio
n....
......
......
......
......
......
....
2019
Perc
ent
2017
Perc
ent
Perc
ent
Perc
ent
2016
2018
Num
ber
2015
Mul
tiple
-bia
s to
tal..
......
......
......
......
......
......
.....
Perc
ent
Num
ber
Anti-
gend
er n
on-c
onfo
rmin
g4 ......
......
......
....
R
ace/
ethn
icity
/nat
iona
l orig
in...
......
......
......
...
2010
Perc
ent
Perc
ent
Sin
gle-
bias
tota
l.....
......
......
......
......
......
......
....
2011
2012
2013
2014
Num
ber
Perc
ent
Num
ber
Num
ber
Num
ber
Num
ber
Perc
ent
Num
ber
Num
ber
Anti-
hete
rose
xual
......
......
......
......
......
......
..
Anti-
citiz
ensh
ip s
tatu
s....
......
......
......
......
...
Ala
skan
nat
ive.
......
......
......
......
......
......
...
Anti-
Asia
n....
......
......
......
......
......
......
......
...
Tota
l.....
......
......
......
......
......
......
......
......
......
....
Anti-
His
pani
c or
Lat
ino.
......
......
......
......
.....
Anti-
Arab
2 ......
......
......
......
......
......
......
......
..
An
ti-m
ultip
le ra
ces
(gro
up)..
......
......
......
....
Anti-
Amer
ican
Indi
an/
Anti-
whi
te...
......
......
......
......
......
......
......
.....
Anti-
lesb
ian.
......
......
......
......
......
......
......
....
Se
xual
orie
ntat
ion.
......
......
......
......
......
......
...
Anti-
trans
gend
er...
......
......
......
......
......
......
Anti-
men
tal d
isab
ility.
......
......
......
......
......
..
G
ende
r.....
......
......
......
......
......
......
......
......
...
An
ti-m
ale.
......
......
......
......
......
......
......
......
.
An
ti-fe
mal
e....
......
......
......
......
......
......
......
.
Anti-
phys
ical
dis
abilit
y....
......
......
......
......
...
Anti-
bise
xual
......
......
......
......
......
......
......
...
Anti-
gay
(mal
e)...
......
......
......
......
......
......
...
Ph
ysic
al/m
enta
l dis
abilit
y....
......
......
......
......
..
Anti-
Prot
esta
nt...
......
......
......
......
......
......
...
Anti-
LGBT
Q...
......
......
......
......
......
......
......
.
agn
ostic
ism
/etc
......
......
......
......
......
......
...
Anti-
Isla
mic
(Mus
lim)..
......
......
......
......
......
.
R
elig
ion.
......
......
......
......
......
......
......
......
......
.
An
ti-Je
wis
h....
......
......
......
......
......
......
......
.
Anti-
mul
tiple
relig
ions
(gro
up)..
......
......
......
Anti-
Sikh
3 ......
......
......
......
......
......
......
......
...
Anti-
Cat
holic
......
......
......
......
......
......
......
...
na
tiona
l orig
in2 ...
......
......
......
......
......
......
..
Tabl
e 11
HAT
E C
RIM
ES, 2
010-
2019
Even
ts b
y Bi
as M
otiv
atio
nPe
rcen
t cha
nge
Perc
ent
Bias
mot
ivat
ion
Anti-
blac
k or
Afri
can
Amer
ican
......
......
......
Anti-
Nat
ive
Haw
aiia
n or
Pac
ific
Isla
nder
1 ....
Num
ber
Hate Crime in California 27
1,42
510
0.0
1,34
710
0.0
1,17
410
0.0
1,07
210
0.0
979
100.
01,
057
100.
01,
190
100.
01,
315
100.
01,
268
100.
01,
261
100.
0-1
1.5
-0.6
1,42
510
0.0
1,33
999
.41,
169
99.6
1,06
699
.496
698
.71,
057
100.
01,
184
99.5
1,31
199
.71,
264
99.7
1,25
499
.4-1
2.0
-0.8
818
57.4
775
57.5
683
58.2
624
58.2
551
56.3
560
53.0
672
56.5
742
56.4
725
57.2
665
52.7
-18.
7-8
.359
4.1
392.
942
3.6
434.
040
4.1
424.
075
6.3
544.
158
4.6
413.
3-3
0.5
-29.
342
529
.839
729
.538
632
.936
734
.231
231
.930
028
.433
328
.036
327
.634
627
.329
723
.6-3
0.1
-14.
217
212
.112
99.
611
19.
587
8.1
808.
210
610
.011
49.
615
912
.117
814
.015
412
.2-1
0.5
-13.
5
An
ti-Am
eric
an In
dian
/0
0.0
10.
13
0.3
30.
33
0.3
20.
210
0.8
60.
52
0.2
10.
1-
-
402.
834
2.5
292.
543
4.0
262.
727
2.6
342.
951
3.9
403.
258
4.6
--
--
--
--
--
--
10.
15
0.4
40.
33
0.2
00.
0-
-25
1.8
322.
421
1.8
252.
316
1.6
171.
619
1.6
231.
720
1.6
312.
5-
-47
3.3
493.
631
2.6
242.
227
2.8
212.
040
3.4
322.
427
2.1
362.
9-
-
An
ti-ot
her e
thni
city
/50
3.5
916.
859
5.0
302.
845
4.6
434.
138
3.2
463.
534
2.7
383.
0-2
4.0
-
00.
03
0.2
10.
12
0.2
20.
21
0.1
40.
34
0.3
171.
39
0.7
--
228
16.0
227
16.9
166
14.1
154
14.4
144
14.7
219
20.7
232
19.5
235
17.9
222
17.5
267
21.2
17.1
20.3
147
10.3
142
10.5
106
9.0
868.
085
8.7
109
10.3
137
11.5
115
8.7
136
10.7
165
13.1
12.2
21.3
100.
76
0.4
70.
67
0.7
50.
514
1.3
131.
120
1.5
110.
97
0.6
--
60.
42
0.1
20.
23
0.3
20.
23
0.3
30.
37
0.5
10.
11
0.1
--
261.
826
1.9
242.
027
2.5
222.
251
4.8
403.
454
4.1
352.
849
3.9
--
--
--
--
--
40.
40
0.0
10.
19
0.7
00.
00
0.0
--
100.
77
0.5
30.
36
0.6
20.
29
0.9
40.
34
0.3
50.
47
0.6
--
292.
044
3.3
232.
025
2.3
242.
532
3.0
342.
926
2.0
322.
538
3.0
--
00.
00
0.0
10.
10
0.0
00.
01
0.1
00.
00
0.0
20.
20
0.0
--
358
25.1
310
23.0
296
25.2
256
23.9
240
24.5
242
22.9
248
20.8
292
22.2
280
22.1
263
20.9
-26.
5-6
.113
39.
313
29.
814
011
.912
611
.891
9.3
142
13.4
180
15.1
200
15.2
204
16.1
198
15.7
48.9
-2.9
433.
031
2.3
363.
131
2.9
444.
535
3.3
242.
023
1.7
292.
325
2.0
--
176
12.4
142
10.5
117
10.0
928.
610
210
.457
5.4
383.
257
4.3
433.
436
2.9
-79.
5-
30.
22
0.1
10.
14
0.4
10.
13
0.3
50.
49
0.7
10.
11
0.1
--
30.
23
0.2
20.
23
0.3
20.
25
0.5
10.
13
0.2
30.
23
0.2
--
50.
47
0.5
20.
25
0.5
40.
48
0.8
20.
25
0.4
80.
610
0.8
--
30.
23
0.2
00.
00
0.0
20.
28
0.8
20.
22
0.2
40.
36
0.5
--
20.
14
0.3
20.
25
0.5
20.
20
0.0
00.
03
0.2
40.
34
0.3
--
161.
120
1.5
221.
927
2.5
272.
828
2.6
302.
537
2.8
292.
349
3.9
--
00.
04
0.3
30.
30
0.0
00.
00
0.0
20.
20
0.0
00.
00
0.0
--
10.
14
0.3
30.
30
0.0
20.
22
0.2
10.
14
0.3
50.
49
0.7
--
151.
112
0.9
161.
426
2.4
252.
624
2.3
252.
131
2.4
221.
736
2.9
--
--
--
--
10.
10
0.0
20.
22
0.2
20.
22
0.2
40.
3-
-
00.
08
0.6
50.
46
0.6
131.
30
0.0
60.
54
0.3
40.
37
0.6
--
Not
es:
Perc
enta
ges
may
not
add
to s
ubto
tals
or 1
00.0
bec
ause
of r
ound
ing.
Das
h in
dica
tes
that
per
cent
cha
nges
are
not
cal
cula
ted
whe
n th
e ba
se n
umbe
r is
less
than
50,
or t
hat n
o da
ta w
ere
repo
rted.
1 R
epor
ting
of a
nti-N
ative
Haw
aiia
n or
Pac
ific
Isla
nder
beg
an in
201
5.2
Dat
a do
not
mat
ch p
revio
usly
pub
lishe
d re
ports
due
to th
e se
para
tion
of a
nti-A
rab
bias
type
from
ant
i-oth
er e
thni
city
/nat
iona
l orig
in b
ias
type
.3
Rep
ortin
g of
ant
i-Sik
h bi
as m
otiva
tion
bega
n in
201
4.4 R
epor
ting
of a
nti-g
ende
r non
-con
form
ing
bias
mot
ivatio
n be
gan
in 2
013.
Mul
tiple
-bia
s to
tal..
......
......
......
......
......
......
.....
Anti-
fem
ale.
......
......
......
......
......
......
......
.....
Anti-
trans
gend
er...
......
......
......
......
......
......
Anti-
phys
ical
dis
abilit
y....
......
......
......
......
...
An
ti-m
enta
l dis
abilit
y....
......
......
......
......
.....
G
ende
r.....
......
......
......
......
......
......
......
......
....
Anti-
mal
e....
......
......
......
......
......
......
......
.....
Anti-
gend
er n
on-c
onfo
rmin
g4 ......
......
......
...
Anti-
Sikh
3 ......
......
......
......
......
......
......
......
....
Anti-
mul
tiple
relig
ions
(gro
up)..
......
......
.....
Anti-
bise
xual
......
......
......
......
......
......
......
....
Ph
ysic
al/m
enta
l dis
abilit
y....
......
......
......
......
.
Anti-
athe
ism
/agn
ostic
ism
/etc
......
......
......
..
Se
xual
orie
ntat
ion.
......
......
......
......
......
......
...
An
ti-ga
y (m
ale)
......
......
......
......
......
......
......
Anti-
lesb
ian.
......
......
......
......
......
......
......
....
Anti-
LGBT
Q...
......
......
......
......
......
......
......
.
An
ti-he
tero
sexu
al...
......
......
......
......
......
.....
Anti-
Nat
ive
Haw
aiia
n or
Pac
ific
Isla
nder
1 ..
Anti-
Prot
esta
nt...
......
......
......
......
......
......
...
An
ti-Is
lam
ic (M
uslim
).....
......
......
......
......
....
na
tiona
l orig
in2 ...
......
......
......
......
......
......
..
R
elig
ion.
......
......
......
......
......
......
......
......
......
.
An
ti-Je
wis
h....
......
......
......
......
......
......
......
..
An
ti-C
atho
lic...
......
......
......
......
......
......
......
.
Anti-
citiz
ensh
ip s
tatu
s....
......
......
......
......
...
Perc
ent
Anti-
His
pani
c or
Lat
ino.
......
......
......
......
.....
Ala
skan
nat
ive.
......
......
......
......
......
......
....
Anti-
Asia
n....
......
......
......
......
......
......
......
....
Anti-
mul
tiple
race
s (g
roup
).....
......
......
......
.
Tota
l.....
......
......
......
......
......
......
......
......
......
.....
R
ace/
ethn
icity
/nat
iona
l orig
in...
......
......
......
..
An
ti-w
hite
......
......
......
......
......
......
......
......
..
An
ti-bl
ack
or A
frica
n Am
eric
an...
......
......
..
Sin
gle-
bias
tota
l.....
......
......
......
......
......
......
....
Bias
mot
ivat
ion
2010
2011
2012
2013
2014
Num
ber
Num
ber
2015
2016
2017
2018
Perc
ent
Perc
ent
Num
ber
Num
ber
Perc
ent
Num
ber
Tabl
e 12
2019
Num
ber
Num
ber
Num
ber
Perc
ent
Num
ber
Num
ber
Perc
ent
Perc
ent
Anti-
othe
r rel
igio
n....
......
......
......
......
......
....
2010
-20
1920
18-
2019
Perc
ent c
hang
e
Offe
nses
by
Bias
Mot
ivat
ion
HAT
E C
RIM
ES, 2
010-
2019
Anti-
Arab
2 ......
......
......
......
......
......
......
......
...
Perc
ent
Perc
ent
Perc
ent
Hate Crime in California28
2010
-20
1920
18-
2019
1,42
510
0.0
1,34
710
0.0
1,17
410
0.0
1,07
210
0.0
979
100.
01,
057
100.
01,
190
100.
01,
315
100.
01,
268
100.
01,
261
100.
0-1
1.5
-0.6
1,42
510
0.0
1,33
999
.41,
169
99.6
1,06
699
.496
698
.71,
057
100.
01,
184
99.5
1,31
199
.71,
264
99.7
1,25
499
.4-1
2.0
-0.8
893
62.7
825
61.2
761
64.8
680
63.4
653
66.7
727
68.8
767
64.5
860
65.4
838
66.1
864
68.5
-3.2
3.1
10.
11
0.1
00.
00
0.0
10.
13
0.3
00.
03
0.2
00.
01
0.1
--
10.
10
0.0
20.
21
0.1
00.
00
0.0
10.
10
0.0
10.
13
0.2
--
422.
944
3.3
342.
938
3.5
313.
229
2.7
322.
755
4.2
393.
140
3.2
--
203
14.2
193
14.3
235
20.0
153
14.3
185
18.9
212
20.1
189
15.9
242
18.4
239
18.8
290
23.0
42.9
21.3
284
19.9
239
17.7
239
20.4
250
23.3
201
20.5
237
22.4
237
19.9
259
19.7
286
22.6
270
21.4
-4.9
-5.6
362
25.4
348
25.8
251
21.4
238
22.2
235
24.0
246
23.3
308
25.9
301
22.9
273
21.5
260
20.6
-28.
2-4
.8
532
37.3
514
38.2
408
34.8
386
36.0
313
32.0
330
31.2
417
35.0
451
34.3
426
33.6
390
30.9
-26.
7-8
.522
1.5
322.
412
1.0
212.
012
1.2
111.
016
1.3
181.
48
0.6
121.
0-
-6
0.4
60.
43
0.3
60.
67
0.7
30.
37
0.6
60.
511
0.9
50.
4-
-1
0.1
10.
12
0.2
20.
20
0.0
00.
02
0.2
00.
04
0.3
10.
1-
-8
0.6
80.
69
0.8
70.
75
0.5
50.
519
1.6
151.
112
0.9
110.
9-
-49
534
.746
734
.738
232
.535
032
.628
929
.531
129
.437
331
.341
231
.339
130
.836
128
.6-2
7.1
-7.7
00.
08
0.6
50.
46
0.6
131.
30
0.0
60.
54
0.3
40.
37
0.6
--
Not
es:
Perc
enta
ges
may
not
add
to s
ubto
tals
or 1
00.0
bec
ause
of r
ound
ing.
Das
h in
dica
tes
that
per
cent
cha
nges
are
not
cal
cula
ted
whe
n th
e ba
se n
umbe
r is
less
than
50,
or t
hat n
o da
ta w
ere
repo
rted.
Perc
ent
2019
2018
2017
2016
Num
ber
Perc
ent
Num
ber
Num
ber
Perc
ent
2014
Perc
ent
Perc
ent
Perc
ent
Perc
ent
Perc
ent
2013
2012
2011
Perc
ent
Num
ber
Num
ber
Num
ber
Num
ber
Perc
ent
Tabl
e 13
HAT
E C
RIM
ES, 2
010-
2019
Offe
nses
by
Type
of C
rime
Type
of c
rime
2015
Perc
ent c
hang
e
Num
ber
Num
ber
Num
ber
2010
Sim
ple
assa
ult..
......
......
Intim
idat
ion.
......
......
......
Tota
l.....
......
......
......
......
......
Vi
olen
t crim
es...
......
......
..
M
urde
r.....
......
......
......
...
R
ape.
......
......
......
......
....
Mul
tiple
-bia
s to
tal..
......
......
Sin
gle-
bias
tota
l.....
......
......
Arso
n....
......
......
......
......
Des
truct
ion/
vand
alis
m.
Pr
oper
ty c
rimes
......
......
...
Bu
rgla
ry...
......
......
......
...
La
rcen
y-th
eft..
......
......
..
M
otor
veh
icle
thef
t.....
...
Rob
bery
......
......
......
......
Aggr
avat
ed a
ssau
lt....
..
Hate Crime in California 29
2010
-20
1920
18-
2019
1,42
510
0.0
1,34
710
0.0
1,17
410
0.0
1,07
210
0.0
979
100.
01,
057
100.
01,
190
100.
01,
315
100.
01,
268
100.
01,
261
100.
0-1
1.5
-0.6
1,42
510
0.0
1,33
999
.41,
169
99.6
1,06
699
.496
698
.71,
057
100.
01,
184
99.5
1,31
199
.71,
264
99.7
1,25
499
.4-1
2.0
-0.8
--
00.
02
0.2
00.
00
0.0
10.
12
0.2
00.
01
0.1
10.
1-
-25
1.8
201.
539
3.3
272.
532
3.3
323.
033
2.8
201.
535
2.8
302.
4-
--
-1
0.1
00.
00
0.0
10.
10
0.0
00.
00
0.0
10.
10
0.0
--
--
00.
00
0.0
00.
05
0.5
00.
02
0.2
30.
22
0.2
30.
2-
-0
0.0
40.
30
0.0
20.
20
0.0
10.
11
0.1
10.
12
0.2
60.
5-
-
312.
217
1.3
171.
421
2.0
90.
923
2.2
191.
617
1.3
131.
018
1.4
--
--
00.
03
0.3
10.
10
0.0
50.
50
0.0
10.
13
0.2
00.
0-
-66
4.6
795.
944
3.7
514.
836
3.7
636.
065
5.5
775.
954
4.3
836.
625
.853
.737
2.6
241.
815
1.3
201.
97
0.7
131.
229
2.4
403.
027
2.1
423.
3-
--
--
--
--
-4
0.4
70.
72
0.2
50.
47
0.6
50.
4-
-
10.
13
0.2
30.
32
0.2
10.
10
0.0
20.
20
0.0
40.
31
0.1
--
70.
514
1.0
161.
412
1.1
101.
09
0.9
121.
015
1.1
221.
718
1.4
--
--
00.
01
0.1
10.
11
0.1
60.
61
0.1
20.
20
0.0
20.
2-
-12
0.8
100.
76
0.5
50.
54
0.4
70.
73
0.3
120.
922
1.7
121.
0-
--
-0
0.0
10.
10
0.0
00.
00
0.0
10.
11
0.1
00.
01
0.1
--
60.
44
0.3
50.
44
0.4
40.
49
0.9
50.
411
0.8
120.
99
0.7
--
--
30.
20
0.0
10.
10
0.0
20.
20
0.0
10.
14
0.3
00.
0-
-28
2.0
80.
67
0.6
222.
15
0.5
50.
57
0.6
120.
910
0.8
131.
0-
--
-1
0.1
20.
21
0.1
00.
00
0.0
00.
00
0.0
00.
00
0.0
--
171.
211
0.8
151.
312
1.1
151.
57
0.7
151.
37
0.5
211.
720
1.6
--
90.
617
1.3
60.
512
1.1
111.
114
1.3
151.
314
1.1
201.
617
1.3
--
357
25.1
357
26.5
318
27.1
263
24.5
264
27.0
283
26.8
252
21.2
305
23.2
342
27.0
343
27.2
-3.9
0.3
40.
32
0.1
110.
95
0.5
40.
46
0.6
30.
39
0.7
241.
95
0.4
--
--
00.
02
0.2
10.
10
0.0
00.
00
0.0
30.
20
0.0
00.
0-
-25
1.8
141.
019
1.6
353.
315
1.5
161.
533
2.8
120.
914
1.1
262.
1-
-
50.
43
0.2
40.
30
0.0
20.
24
0.4
10.
19
0.7
10.
14
0.3
--
40.
34
0.3
40.
34
0.4
30.
37
0.7
50.
47
0.5
20.
211
0.9
--
--
211.
630
2.6
262.
424
2.5
434.
137
3.1
292.
222
1.7
514.
0-
-92
6.5
977.
270
6.0
605.
690
9.2
676.
370
5.9
102
7.8
836.
510
07.
98.
720
.51
0.1
30.
23
0.3
00.
00
0.0
00.
01
0.1
00.
02
0.2
20.
2-
-
459
32.2
400
29.7
334
28.4
281
26.2
261
26.7
285
27.0
316
26.6
320
24.3
280
22.1
237
18.8
-48.
4-1
5.4
--
00.
01
0.1
00.
01
0.1
00.
00
0.0
10.
11
0.1
10.
1-
-39
2.7
342.
521
1.8
252.
327
2.8
242.
315
1.3
524.
061
4.8
372.
9-
-39.
314
410
.113
29.
8-
--
--
--
--
--
--
--
--
--
--
-50
4.3
494.
626
2.7
302.
859
5.0
332.
528
2.2
383.
0-
-
--
--
544.
660
5.6
656.
634
3.2
111
9.3
886.
759
4.7
604.
8-
1.7
151.
18
0.6
70.
69
0.8
40.
49
0.9
80.
713
1.0
151.
212
1.0
--
--
00.
02
0.2
10.
11
0.1
10.
17
0.6
10.
14
0.3
40.
3-
--
-11
0.8
181.
56
0.6
50.
54
0.4
30.
310
0.8
90.
72
0.2
--
130.
99
0.7
121.
06
0.6
60.
66
0.6
70.
611
0.8
131.
08
0.6
--
--
00.
00
0.0
30.
30
0.0
00.
00
0.0
00.
00
0.0
00.
0-
-28
2.0
282.
127
2.3
383.
523
2.3
343.
242
3.5
675.
144
3.5
322.
5-
-
00.
08
0.6
50.
46
0.6
131.
30
0.0
60.
54
0.3
40.
37
0.6
--
Not
es:
Perc
enta
ges
may
not
add
to s
ubto
tals
or 1
00.0
bec
ause
of r
ound
ing.
Das
h in
dica
tes
that
per
cent
cha
nges
are
not
cal
cula
ted
whe
n th
e ba
se n
umbe
r is
less
than
50,
or t
hat n
o da
ta w
ere
repo
rted.
1 Lo
catio
ns a
dded
in 2
011.
2 Lo
catio
n ad
ded
in 2
014.
3 R
epor
ting
of S
choo
l/col
lege
sep
arat
ed in
to S
choo
l, co
llege
/uni
vers
ity a
nd S
choo
l, el
emen
tary
/sec
onda
ry in
201
2.
Sc
hool
/col
lege
3 ......
......
......
......
......
......
...
Se
rvic
e/ga
s st
atio
n....
......
......
......
......
...
O
ther
/unk
now
n....
......
......
......
......
......
...
Ba
nk/s
avin
gs a
nd lo
an...
......
......
......
.....
Fa
rm fa
cilit
y1 ......
......
......
......
......
......
......
.
Tr
ibal
land
s1 ......
......
......
......
......
......
......
.
R
esid
ence
/hom
e/dr
ivew
ay...
......
......
.....
R
esta
uran
t.....
......
......
......
......
......
......
...
C
hurc
h/sy
nago
gue/
tem
ple.
......
......
......
..
H
ighw
ay/ro
ad/a
lley/
stre
et...
......
......
......
.
Sh
elte
r/mis
sion
/hom
eles
s1 ......
......
......
....
2019
Num
ber
Perc
ent
Perc
ent
Perc
ent
2013
2014
Num
ber
2017
2018
2016
D
ock/
wha
rf/fre
ight
/mod
al te
rmin
al1 ...
......
2010
2011
2012
Num
ber
Num
ber
Num
ber
C
omm
unity
cen
ter2 ...
......
......
......
......
......
Num
ber
Sc
hool
, col
lege
/uni
vers
ity3 ...
......
......
......
.
Sc
hool
, ele
men
tary
/sec
onda
ry3 ...
......
.....
Perc
ent
Perc
ent
Perc
ent
La
ke/w
ater
way
/bea
ch...
......
......
......
......
In
dust
rial s
ite1 ...
......
......
......
......
......
......
..
Perc
ent
R
enta
l sto
rage
faci
lity.
......
......
......
......
...
Tabl
e 14
HAT
E C
RIM
ES, 2
010-
2019
Offe
nses
by
Loca
tion
Perc
ent c
hang
e
Perc
ent
Num
ber
Loca
tion
2015
Num
ber
Num
ber
Perc
ent
Num
ber
D
ayca
re fa
cilit
y1 ......
......
......
......
......
......
..
Pa
rk/p
layg
roun
d1 ......
......
......
......
......
......
H
otel
/mot
el/e
tc...
......
......
......
......
......
.....
Ja
il/pr
ison
......
......
......
......
......
......
......
...
Li
quor
sto
re...
......
......
......
......
......
......
....
D
epar
tmen
t/dis
coun
t sto
re...
......
......
.....
Ar
ena/
stad
ium
/fairg
roun
ds/c
olis
eum
1 ......
G
ambl
ing
faci
lity/
casi
no/ra
ce tr
ack1 ...
.....
Mul
tiple
-bia
s to
tal..
......
......
......
......
......
.....
Tota
l.....
......
......
......
......
......
......
......
......
...
Ab
ando
ned/
cond
emne
d st
ruct
ure1 ...
......
.
Ba
r/nig
ht c
lub.
......
......
......
......
......
......
...
Cam
p/ca
mpg
roun
d1 ......
......
......
......
......
..
Am
usem
ent p
ark1 ...
......
......
......
......
......
..
Sin
gle-
bias
tota
l.....
......
......
......
......
......
...
Fi
eld/
woo
ds/p
ark.
......
......
......
......
......
....
R
est a
rea1 ...
......
......
......
......
......
......
......
.
G
roce
ry/s
uper
mar
ket..
......
......
......
......
..
D
rug
stor
e/D
r.'s
offic
e/ho
spita
l.....
......
...
Pa
rkin
g lo
t/gar
age.
......
......
......
......
......
..
G
over
nmen
t/pub
lic b
uild
ing.
......
......
......
Perc
ent
Sp
ecia
lty s
tore
(TV,
fur,
etc.
).....
......
......
C
omm
erci
al/o
ffice
bui
ldin
g....
......
......
.....
C
onst
ruct
ion
site
......
......
......
......
......
.....
C
onve
nien
ce s
tore
......
......
......
......
......
..
Ai
r/bus
/trai
n te
rmin
al...
......
......
......
......
..
Sh
oppi
ng m
all1 …
……
…...
......
......
..……
…
Hate Crime in California30
2010 2011 2012 2013 2014 2015 2016 2017
1,107 1,060 930 863 758 837 931 1,093 1,066 1,0151,425 1,347 1,174 1,072 979 1,057 1,190 1,315 1,268 1,2611,320 1,232 1,136 1,045 943 1,041 1,145 1,270 1,237 1,2471,092 1,010 937 875 799 838 982 1,013 1,093 967
Table 15HATE CRIMES, 2010-2019
Events, Offenses, Victims, and Suspects
Victims.................Suspects..............
Events..................Offenses..............
2018 2019
Location
1,107 1,060 930 863 758 837 931 1,093 1,066 1,01562 73 43 44 36 59 62 73 50 66
272 263 254 218 212 225 215 253 303 28074 80 56 52 70 51 61 81 70 77
320 307 236 222 193 217 222 250 220 179
133 111 - - - - - - - -- - 42 40 22 26 53 32 28 28- - 52 46 47 34 62 86 54 60
246 226 247 241 178 225 256 318 341 3251 Reporting of School/college separated into School, college/university and School, elementary/secondary in 2012. All other locations...........................
School/college1………………………
Church/synagogue/temple..............
Parking lot/garage.......................... Residence/home/driveway..............
Highway/road/alley/street...............
2010
School, college/university1…………… School, elementary/secondary1……
2015 2016
Total.................................................
2017 2018 2019
Table 16HATE CRIMES, 2010-2019
Events by Location2011 2012 2013 2014
Bias motivation
1,107 1,057 928 860 754 837 928 1,092 1,064 1,013613 587 528 489 412 428 519 602 594 523198 201 145 129 127 190 171 207 201 208279 244 235 216 187 188 207 246 238 233
5 7 2 1 4 4 2 4 7 1012 18 18 25 24 27 29 33 24 39
2017
Physical/mental disability....... Gender...................................
Religion.................................. Race/ethnicity/national origin.
Sexual orientation..................
2010 2011
Total.........................................
2018 2019
Table 17HATE CRIMES, 2010-2019
Single-Bias Events by Bias Motivation
2012 2013 2014 2015 2016
Hate Crime in California 31
198 201 145 129 127 190 171 207 201 208128 132 91 70 80 97 82 104 126 14110 6 7 7 5 11 12 20 10 76 1 2 3 2 3 2 7 1 1
22 17 20 21 18 40 37 46 28 25- - - - 2 0 1 5 0 07 7 3 4 2 9 4 3 5 7
25 38 21 24 18 29 33 22 30 270 0 1 0 0 1 0 0 1 0
1 Reporting of anti-Sikh bias motivation began in 2014.
Anti-Jewish................................
2012 2016 2017
Total............................................
2014 2015Religion
Anti-atheism/agnosticism/etc.....
Anti-Catholic.............................. Anti-Protestant........................... Anti-Islamic (Muslim).................
Anti-multiple religions (group).... Anti-Sikh1....................................
Anti-other religion......................
201920182013
Table 19HATE CRIMES, 2010-2019
Single-Bias Events by Religion2010 2011
279 244 235 216 187 188 207 246 238 233107 103 116 106 78 108 152 172 169 17230 25 28 27 27 25 18 20 24 22
136 111 88 77 79 48 32 45 41 353 2 1 3 1 3 4 6 1 13 3 2 3 2 4 1 3 3 3
2017
Anti-heterosexual.................... Anti-bisexual...........................
Anti-LGBTQ............................
Anti-gay (male)........................ Anti-lesbian.............................
2010 2011
Total..........................................
Sexual orientation 2018 2019
Table 20HATE CRIMES, 2010-2019
Single-Bias Events by Sexual Orientation
2012 2013 2014 2015 2016
Race/ethnicity/national origin
613 587 528 489 412 428 519 602 594 523
47 35 40 38 28 34 56 47 48 39324 313 289 285 238 231 251 302 276 243119 88 88 64 60 81 83 126 149 110
0 1 3 3 2 2 9 5 2 132 30 23 30 19 19 22 37 34 43
- - - - - 1 5 3 3 017 21 17 21 12 12 19 15 16 2034 37 22 18 14 17 34 22 23 2640 60 45 28 37 30 37 42 31 32
0 2 1 2 2 1 3 3 12 91 Reporting of anti-Native Hawaiian or Pacific Islander bias motivation began in 2015.2 Data do not match previously published reports prior to 2017 due to the separation of anti-Arab bias type from anti-other ethnicity/national origin bias type.
Anti-citizenship status..................................
2012
Anti-American Indian/Alaskan Native.........
Table 18HATE CRIMES, 2010-2019
Single-Bias Events by Race/Ethnicity/National Origin
2010 2011
Anti-other ethnicity/national origin……………
2018 2019
Anti-white.....................................................
2016 2017
Anti-black or African American...................
Total...............................................................
Anti-multiple races (group)..........................
Anti-Asian.................................................... Anti-Native Hawaiian or Pacific Islander1…
2013 2014 2015
Anti-Hispanic or Latino................................
Anti-Arab2.....................................................
Hate Crime in California32
12 18 18 25 24 27 29 33 24 390 4 2 0 0 0 1 0 0 01 3 2 0 2 1 1 4 4 7
11 11 14 24 22 24 25 27 19 29
- - - 1 0 2 2 2 1 31 Reporting of anti-gender non-conforming bias motivation began in 2013.
Table 21HATE CRIMES, 2010-2019
Single-Bias Events by Gender 2010 2011 2012 2013 2014 2015 2016
Anti-transgender......................
Anti-gender non-conforming1...
2017 2018 2019Total........................................... Anti-male................................. Anti-female..............................
Gender
1,425 1,339 1,169 1,066 966 1,057 1,184 1,311 1,264 1,254893 825 761 680 653 727 767 860 838 864532 514 408 386 313 330 417 451 426 390
Category
Property crime........
Total......................... Violent crime..........
2010
Table 22HATE CRIMES, 2010-2019
Single-Bias Offenses by Category
2014 2015 2016 2017 2018 201920132011 2012
893 825 761 680 653 727 767 860 838 8641 1 0 0 1 3 0 3 0 1
1 0 2 1 0 0 1 0 1 342 44 34 38 31 29 32 55 39 40
203 193 235 153 185 212 189 242 239 290284 239 239 250 201 237 237 259 286 270362 348 251 238 235 246 308 301 273 260 Intimidation..................
Simple assault.............
Murder.........................
Rape............................
Total...............................
Aggravated assault...... Robbery.......................
2010 2011 2017Violent crime 2015 20162013
Table 23HATE CRIMES, 2010-2019
Single-Bias Offenses by Type of Violent Crime2018 20192012 2014
532 514 408 386 313 330 417 451 426 39022 32 12 21 12 11 16 18 8 126 6 3 6 7 3 7 6 11 51 1 2 2 0 0 2 0 4 18 8 9 7 5 5 19 15 12 11
495 467 382 350 289 311 373 412 391 361
2017
Arson............................... Destruction/vandalism.....
Burglary........................... Larceny-theft................... Motor vehicle theft...........
2010 2011
Total..................................
Property crime 2018 2019
Table 24HATE CRIMES, 2010-2019
Single-Bias Offenses by Type of Property Crime
2012 2013 2014 2015 2016
Hate Crime in California 33
Appendix:Glossary
Aggravated Assault – An unlawful attack by one person upon another for the purposes of inflicting severe or aggravated bodily injury. This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm (FBI’s UCR definition).
Bias – A preformed negative opinion or attitude toward a group of persons based on their race, ethnicity, national origin, religion, gender, sexual orientation, or physical/mental disability.
Bisexual – Of or relating to persons who experience sexual attraction toward and responsiveness to both males and females; (noun) a bisexual person.
Case – A set of facts about a crime that is referred to a district attorney for filing with a court. The case may charge one or more persons with the commission of one or more offenses. (For this report, the case must contain some element of bias.)
Complaints Filed – Any verified written accusation, filed by a district attorney with a criminal court, that charges one or more persons with the commission of one or more offenses. (For this report, the case must contain some element of bias.)
Conviction – A judgment based on the verdict of a jury or a judicial officer or on a guilty plea or a nolo contendere plea of the defendant.
Disposition – In criminal procedure, the sentencing or other final settlement of a criminal case.
Ethnic Bias – A preformed negative opinion or attitude toward a group of persons of the same race or national origin who share common or similar traits in language, custom, and tradition.
Event – An occurrence where a hate crime is involved. (In this report, the information about the event is a crime report or source document that meets the criteria for a hate crime.) There may be one or more suspects involved, one or more victims targeted, and one or more offenses involved for each event.
Gay – Of or relating to males who experience a sexual attraction toward and responsiveness to other males; (noun) a homosexual male.
Gender Non-Conforming – (adjective) Describes a person who does not conform to the gender-based expectations of society, e.g., a woman dressed in traditionally male clothing or a man wearing makeup.
Guilty Plea – A defendant’s formal answer in open court stating that the charge is true and that he or she is guilty of the crime charged.
Hate Crime – A criminal offense against a person or property motivated in whole or in part by an offender’s bias against a race, religion, disability, sexual orientation, ethnicity, gender, or gender identity.
Hate Crime in California34
Heterosexual – Of or relating to persons who experience sexual attraction toward and responsiveness to members of the opposite sex; (noun) a heterosexual person.
Homosexual – Of or relating to persons who experience sexual attraction toward and responsiveness to members of their own sex; (noun) a homosexual person.
Note: This is an outdated clinical term considered derogatory and offensive by many people; current journalistic standards restrict usage of the term; “lesbian” and/or “gay” accurately describes those who are attracted to people of the same sex.
Known Suspect – Any person alleged to have committed a criminal act or attempted criminal act to cause physical injury, emotional suffering, or property damage. The known suspect category contains the number of suspects that have been identified and/or alleged to have committed hate crimes as stated in the crime report. For example, witnesses observe three suspects fleeing the scene of a crime. The word “known” does not necessarily refer to specific identities.
Lesbian – Of or relating to females who experience sexual attraction toward and responsiveness to other females; (noun) a homosexual female.
Note: Some lesbian women prefer to be described as gay women. For FBI UCR Program purposes, however, if reporting an anti-gay bias, the victim should be a male.
LGBTQ – Common initialism for “lesbian, gay, bisexual, transgender, and queer” used here to refer to community organizations or events that serve lesbian, gay, bisexual, transgender, queer, and allied people.
Location – The place where the hate crime event occurred. The location categories follow UCR location specifications developed by the FBI. Examples are residence, hotel, bar, church, etc.
Multi-Racial – A hate crime that involves more than one victim or suspect, and where the victims or suspects are from two or more different race groups, such as African American and white or Hispanic and Asian.
Nolo Contendere – A plea or answer in a criminal action in which the accused does not admit guilt but agrees to be subject to the same punishment as if he or she were guilty.
Offenses – Criminal acts that are recorded as follows: murder, rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft, arson, simple assault, intimidation, and destruction/vandalism as defined in the UCR and the national Hate Crimes Statistics Report.
Physical/Mental Disability Bias – A preformed negative opinion or attitude toward a group of persons based on physical or mental impediments/challenges, whether such disabilities are congenital or acquired by heredity, accident, injury, advanced age, or illness.
Property Crimes – Burglary, larceny-theft, motor vehicle theft, arson, and destruction/vandalism are reported as property crimes.
Hate Crime in California 35
Racial Bias – A preformed negative opinion or attitude toward a group of persons, such as Asians, blacks, or whites, based on physical characteristics.
Religious Bias – A preformed negative opinion or attitude toward a group of persons based on religious beliefs regarding the origin and purpose of the universe and the existence or nonexistence of a supreme being. Examples are Catholics, Jews, Protestants, or Atheists.
Sexual-Orientation Bias – A preformed negative opinion or attitude toward a group of persons based on sexual preferences and/or attractions toward and responsiveness to members of their own or opposite sexes.
Simple Assault – An unlawful attack by one person upon another that does not involve the use of a firearm, knife, cutting instrument, or other dangerous weapon and in which there were no serious or aggravated injuries to the victim (FBI’s UCR definition).
Trial Verdict – The finding or answer of a jury or judge concerning a matter submitted to them for their judgment.
Uniform Crime Reporting – A federal reporting system that provides data on crime based on police statistics submitted by law enforcement agencies throughout the nation. The DOJ administers and forwards the data for California to the federal program.
Victim – An individual, a business or financial institution, a religious organization, a government entity, or other. For example, if a church or synagogue is vandalized or desecrated, the victim would be a religious organization.
Violent Crimes – Murder, rape, robbery, aggravated assault, simple assault, and intimidation are considered violent crimes in this report. (Robbery is included in crimes against property in the FBI Hate Crimes Statistics Report.)
Hate Crime in California36
Acknowledgments
The DOJ is mandated by California Penal Code section 13023 to submit an annual Hate Crime in California report. The department extends its appreciation to all the
law enforcement agencies and attorney offices that provided complete and timely data.This report would not have been possible without their cooperation.
California Department of JusticeCalifornia Justice Information Services Division
Justice Data & Investigative Services Bureau Criminal Justice Statistics Center
P.O. Box 903427 • Sacramento, CA 94203-4270https://openjustice.doj.ca.gov
Hate Crime in California 37