Hate Crime in California · 2020-06-30 · Hate Crime in California 1 Executive Summary Hate Crime...

Hate Crime in California 1

Hate Crime in California2


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.


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 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).


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.


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.


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.


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


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


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


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


Offenses by Type of Crime

Percent of category

Percent of totalNumber



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



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



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................................


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)


Events, Offenses, Victims, and Suspects by County and Jurisdiction

County and jurisdiction Events Offenses Victims Suspects


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)



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)





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)





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)





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)





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


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


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.....................................


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


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


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


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


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.

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es:

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ges

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bec

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land

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atch

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ivat

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n in

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4.4 R

epor

ting

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nti-g

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r non

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ivat

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bega

n in

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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 ......

......

......

....

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ace/

ethn

icity

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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

......

......

......

......

......

......

..

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citiz

ensh

ip s

tatu

s....

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......

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Asia

n....

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l.....

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......

......

......

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His

pani

c or

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ino.

......

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......

......

.....

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Arab

2 ......

......

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......

......

......

......

......

..

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ti-m

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xual

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men

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ende

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mul

tiple

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......

......

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......

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na

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......

......

......

......

......

......

..

Tabl

e 11

HAT

E C

RIM

ES, 2

010-

2019

Even

ts b

y Bi

as M

otiv

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nPe

rcen

t cha

nge

Perc

ent

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mot

ivat

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blac

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can

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ican

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......

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n or

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ber


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Not

es:

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enta

ges

may

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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

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e ba

se n

umbe

r is

less

than

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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....

......

......

......

......

...

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ti-m

enta

l dis

abilit

y....

......

......

......

......

.....

G

ende

r.....

......

......

......

......

......

......

......

......

....

Anti-

mal

e....

......

......

......

......

......

......

......

.....

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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.

......

......

......

......

......

......

...

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ti-ga

y (m

ale)

......

......

......

......

......

......

......

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lesb

ian.

......

......

......

......

......

......

......

....

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LGBT

Q...

......

......

......

......

......

......

......

.

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ti-he

tero

sexu

al...

......

......

......

......

......

.....

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ive

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n or

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ific

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nder

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......

......

......

......

......

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ti-Is

lam

ic (M

uslim

).....

......

......

......

......

....

na

tiona

l orig

in2 ...

......

......

......

......

......

......

..

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elig

ion.

......

......

......

......

......

......

......

......

......

.

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ti-Je

wis

h....

......

......

......

......

......

......

......

..

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ti-C

atho

lic...

......

......

......

......

......

......

......

.

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citiz

ensh

ip s

tatu

s....

......

......

......

......

...

Perc

ent

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His

pani

c or

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ino.

......

......

......

......

.....

Ala

skan

nat

ive.

......

......

......

......

......

......

....

Anti-

Asia

n....

......

......

......

......

......

......

......

....

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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


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....

..


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 …

……

…...

......

......

..……

…


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


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


Single-Bias Events by Bias Motivation

2012 2013 2014 2015 2016


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


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


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.........


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.....................................................


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.


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


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


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


Single-Bias Offenses by Type of Property Crime

2012 2013 2014 2015 2016


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.


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.


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.)


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 · 2020-06-30 · Hate Crime in California 1 Executive Summary Hate Crime...

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