Violent Crime Rate and Property Crime Rate
Violent Crime Projection: 768 per 100,000 residents
Property Crime Projection: 6,001 per 100,000 residents
Violent Crime Rate: 718 per 100,000 residents
Property Crime Rate: 5,736 per 100,000 residents
San Francisco submits crime data on a monthly basis to the federal Uniform Crime Reporting (UCR) Program, a program of the Federal Bureau of Investigation (FBI). The FBI UCR program sets guidelines and definitions for what offenses are classified as Part I crimes. Part I offenses are serious crimes that occur with regularity in all areas of the country and are likely to be reported to the police.
- Property Part I crime categories include burglary, larceny, motor vehicle theft and arson
- Violent Part I crime categories include homicide, rape, robbery and aggravated assault
Crime measures are computed crime rates, a common practice in law enforcement, that show the number of crimes per 100,000 residents. This method of calculation is useful when comparing crime rates across and between jurisdictions. Please note that historical data is subject to minor changes as offense type may change during the investigation.
Please use the left and right arrows to toggle between the three charts provided in the window below. The first chart features the overall violent and property crime measures. The second two charts display the number of offenses per crime category.
UCR: PROPERTY AND VIOLENT CRIME RATES PER 100,000 RESIDENTS
How the Police Department is Performing
There was a dramatic increase in property crime rates over the course of 2015, with a 22% increase in thefts from vehicles observed in the first eleven months of 2015 compared to the same time period in 2014. The Police Chief created a special task force to address the increase in thefts from vehicles throughout the city. In 2015, arson incidents spiked due to a serial arsonist who had been active for roughly six months before his apprehension.
The San Francisco Police Department (SFPD) has experienced a large number of retirements in recent years and is projecting a significant number of annual retirements over the next two to three years. To address attrition, the City has adopted a multi-year hiring plan that includes five Police Academy classes of 50 recruits in fiscal year (FY) 2015-16 and three classes in FY 2016-17. This will result in a total of 400 new police officers being hired over the next two fiscal years to backfill retirements and bring the number of full-duty sworn staff to the Charter-mandated 1,971 by June 2017, a full year ahead of schedule. This plan will cost $10.6 million in FY 2015-16 and an additional $11.0 million in FY 2016-17.
How Performance is Measured
Each month, San Francisco submits information on the number of Part I offenses reported to law enforcement. The UCR Program collects data about Part I offenses in order to measure the level and scope of crime occurring in jurisdictions throughout the nation.
Part I crime rates 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 violent crime rate is measured as the number of Violent Part I crimes in the month divided by the U.S. Census Bureau’s San Francisco population estimate multiplied by 100,000. The property crime rate is measured as the number of Property Part I crimes in the month divided by the U.S. Census Bureau’s San Francisco population estimate multiplied by 100,000. Please note that finalized populations estimate from the U.S. Census Bureau are not available until up to six months after the close of the calendar year. Once the most recent population estimates are published, crime data is retroactively updated for accuracy.
The number displayed on the scorecard page represents a fiscal year-to-date sum.
Visit the San Francisco Police Department website.
Please visit DataSF for the scorecard data.