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City Performance Scorecards

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Violent Crime and Property Crime

Police Department

San Francisco submits crime data to the federal Uniform Crime Reporting (UCR) Program every month. The UCR is a program of the Federal Bureau of Investigation (FBI). The UCR program sets guidelines and definitions for classifying crimes.

Offenses classified as "Part I" are serious crimes that occur with regularity in all areas of the country and are likely to be reported to the police.

Crime measures show the total number of crimes reported.  Please note that historical data is subject to minor changes as offense type may change during the investigation.

The following charts summarize crime reported in San Francisco.  Use the left and right arrows at the bottom of the charts “< 1 of 2 >” to change how the data are displayed. 

The top chart features two tabs that summarize the overall violent and property crime, as well as the numbers of offenses per crime category.

The bottom chart focuses on thefts from vehicles, commonly referred to as "auto break-ins."  These three chart tabs show various ways to compare the current number of theft from vehicles to historical data.

Data Note: On January 19, 2024, the “Larceny-Theft” measure was found to count “Number of Thefts from Vehicles” data twice. This discrepancy was fixed the same day. Current and historical data is now correct.

UCR: PROPERTY AND VIOLENT CRIME

UCR: NUMBER OF THEFTS FROM VEHICLES

How Crime is Measured

The violent crime is measured as the number of Violent Part I crimes in the month.

The property crime is measured as the number of Property Part I crimes in the month.

The Uniform Crime Reporting (UCR) program collects data about Part I offenses in order to measure the level and scope of crime occurring in jurisdictions throughout the nation. The UCR program counts crimes when they become known to the police. Thirteen reports are submitted to the California Department of Justice each month. CA DOJ then reports this data to the FBI. These reports include summaries of crime incidents, values of stolen and recovered property, homicide information, crimes against seniors, hate crimes, domestic violence incidents and others.  

The UCR program is considered a "snapshot of crime" reported in one month. Crime is counted based upon a hierarchical rule following FBI definitions and guidelines, so that all jurisdictions participating in the UCR program follow the same rules. Figures are updated twice annually. For more information about the UCR program, please visit https://ucr.fbi.gov/a-word-about-ucr-data.

The San Francisco Police Department also produces a monthly "CompStat" profile, which often includes additional crimes reported after the UCR submittal deadline. CompStat focuses on all crimes that occurred during the month, even those reported after the month's end, an important distinction from the UCR standard. These profiles provide a more up-to-date picture of crime in San Francisco, and are used to better evaluate crime fighting strategies and deployment efforts. CompStat reports are posted on the SFPD website every month.

Part I crimes from 2009-2014 comes from the SFPD’s CABLE Report POL0216E, except for Homicide (Homicide Detail), Rape (Sexual Assault Detail), and Arson (CrimeMaps-CABLE). Following the implementation of SFPD’s Crime Data Warehouse (CDW) in June 2012, 2015 data on Part I crimes comes from CDW, except for Homicide (Homicide Detail) and Rape (Sexual Assault Detail).

The number displayed on the scorecard page represents a fiscal year-to-date sum.

Additional Information

The San Francisco Police Deaprtment publishes data and reports summarizing local crime.

SFPD takes these crimes seriously and allocates resources toward deterrence and investigations. By collaborating with community members, San Francisco businesses and other law enforcement agencies, SFPD is addressing crime through education, prevention and the effective investigation and prosecution of criminals. Visit the San Francisco Police Department website to learn more about the department.

Data

Please visit DataSF for the scorecard data.

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