SANDAG provides an annual report on crime in the San Diego region. This dataset contains data from the 2009 through 2022 editions of the report. Data for 2023 is converted from California Incident Based Reporting System (CIBRS) data provided by SANDAG. Additional data comes from Arjis and DOJ OpenJustice. Some data for previous years reports is updated with new editions. "San Diego County" includes all cities and unincorporated areas in San Diego County. "Sheriff - Total" includes the contract cities and the unincorporated area served by the San Diego County Sheriff's Department. California and United States data come from the FBI's Annual Crime Reports.

This study was conducted to examine whether a rising crime rate in El Paso, Texas and San Diego, California in 1986 could be attributed to, among other factors, the influx of undocumented aliens. Variables include level of involvement of undocumented aliens in serious felony arrests in San Diego and El Paso Counties, the outcome of serious felony arrest cases involving undocumented persons compared to others arrested for similar offenses, the impact of arrests of undocumented aliens on the criminal justice system in terms of workload and cost, the extent that criminal justice agencies coordinate their efforts to apprehend and process undocumented aliens who have committed serious crimes in San Diego and El Paso counties, and how differences in agency objectives impede or enhance coordination. Data are also provided on how many undocumented persons were arrested/convicted for repeat offense in these counties and which type of policies or procedures could be implemented in criminal justice agencies to address the issue of crimes committed by undocumented aliens. Data were collected in the two cities with focus on serious felony offenses. The collection includes sociodemographic characteristics, citizenship status, current arrest, case disposition, and prior criminal history with additional data from San Diego to compute the costs involving undocumented aliens.

This study was conducted to examine whether a rising crime rate in El Paso, Texas and San Diego, California in 1986 could be attributed to, among other factors, the influx of undocumented aliens. Variables include level of involvement of undocumented aliens in serious felony arrests in San Diego and El Paso Counties, the outcome of serious felony arrest cases involving undocumented persons compared to others arrested for similar offenses, the impact of arrests of undocumented aliens on the criminal justice system in terms of workload and cost, the extent that criminal justice agencies coordinate their efforts to apprehend and process undocumented aliens who have committed serious crimes in San Diego and El Paso counties, and how differences in agency objectives impede or enhance coordination. Data are also provided on how many undocumented persons were arrested/convicted for repeat offense in these counties and which type of policies or procedures could be implemented in criminal justice agencies to address the issue of crimes committed by undocumented aliens. Data were collected in the two cities with focus on serious felony offenses. The collection includes sociodemographic characteristics, citizenship status, current arrest, case disposition, and prior criminal history with additional data from San Diego to compute the costs involving undocumented aliens.

The purpose of the study was to evaluate the effects of Neighborhood Watch signs on perceived crime rates, likelihood of victimization, community safety, and estimates of home and community quality. Part 1 (Study One Data) assessed the causal impact of Neighborhood Watch sign presence and content on perceptions of the community. Three Neighborhood Watch signs were incorporated into a series of slide show presentations. The signs utilized the traditional orange and white color scheme with black text and were used to represent an injunctive norm alone, a low descriptive norm for crime, or a high descriptive norm for crime. Digital color images of a for-sale home and the surrounding neighborhood of a middle class community in North San Diego County were shown to 180 undergraduates recruited from the Psychology Department's Human Participant Pool, and from other lower division general education courses at California State University, San Marcos, between July and November of 2005. Three of the slide shows were designated as Neighborhood Watch communities with one of the three sign types posted, and the fourth slide show served as a control with no posted crime prevention signs. Each slide show consisted of 20 images of the home and community, along with four instruction slides. Part 2 (Study Two Data) replicated the basic effect from Study 1 and extended the research to examine the moderating role of community social economic status (SES) on the effects of the Neighborhood Watch signs. Participants were 547 undergraduate students recruited from the Psychology Department's Human Participant Pool, and from other lower division general education courses at California State University and Palomar Community College in San Marcos, between January and September 2006. A total of 12 slide shows were utilized in Study Two, such that each of the four sign conditions from Study One was represented across each of the three communities (Low, Middle, and High SES). Part 3 (Study Three Data) examined the potential for the physical condition of the Neighborhood Watch signs posted in the community to convey normative information about the presence and acceptance of crime in the community. Participants were 364 undergraduate students recruited from the Psychology Department's Human Participant Pool, and from other lower division general education courses at California State University and Palomar Community College in San Marcos, between October 2006 and March 2007. Study Three used the same generic (Injunctive Norm, Program Only) sign that was utilized in Studies One and Two. However, three variations (new, aged, and defaced) of the sign were used. The surveys used for Study One, Study Two, and Study Three, were identical. The data include variables on perceived crime rates, perceived likelihood of victimization, perceived community safety, community ratings, self-protective behavior, burglar's perspective, manipulation check, and demographics of the respondent.

This dataset provides the number of domestic violence-related calls for assistance in 2018. Domestic violence is defined according to California Penal Code 13700. Information like this may be useful for studying safety and abuse.Spatial Extent: Southern California (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura County)Spatial Unit: CityCreated: 2018Updated: n/aSource: California Department of Justice (Criminal Justice Statistics Center)Contact Person: Open Justice InitiativeContact Email: openjustice@doj.ca.govSource Link: https://openjustice.doj.ca.gov/exploration/crime-statistics/domestic-violence-related-calls-assistance

This collection presents survey data from 12 cities in the United States regarding criminal victimization, perceptions of community safety, and satisfaction with local police. Participating cities included Chicago, IL, Kansas City, MO, Knoxville, TN, Los Angeles, CA, Madison, WI, New York, NY, San Diego, CA, Savannah, GA, Spokane, WA, Springfield, MA, Tucson, AZ, and Washington, DC. The survey used the current National Crime Victimization Survey (NCVS) questionnaire with a series of supplemental questions measuring the attitudes in each city. Respondents were asked about incidents that occurred within the past 12 months. Information on the following crimes was collected: violent crimes of rape, robbery, aggravated assault, and simple assault, personal crimes of theft, and household crimes of burglary, larceny, and motor vehicle theft. Part 1, Household-Level Data, covers the number of household respondents, their ages, type of housing, size of residence, number of telephone lines and numbers, and language spoken in the household. Part 2, Person-Level Data, includes information on respondents' sex, relationship to householder, age, marital status, education, race, time spent in the housing unit, personal crime and victimization experiences, perceptions of neighborhood crime, job and professional demographics, and experience and satisfaction with local police. Variables in Part 3, Incident-Level Data, concern the details of crimes in which the respondents were involved, and the police response to the crimes.