San Francisco, California carries a BaseScore of 59/100 (Tier 3: Moderate), with 38,156 total threat incidents recorded across the city in 2025. Security teams evaluating San Francisco for operations, travel, or site selection need street-level intelligence to assess risk across their specific operating locations.
Theft in San Francisco, California — 2025 Overview
Property Crime is San Francisco's largest threat category at 63.9% of all recorded incidents — 24,393 of 38,156 total in 2025. Theft and robbery are primary drivers of this figure. Common types at this volume include retail theft, vehicle break-ins, and opportunistic street robbery.
BaseScore and Threat Overview for San Francisco, California
San Francisco's BaseScore of 59/100 places the city in Tier 3: Moderate on the Base Operations risk scale. In 2025, the city recorded 38,156 total incidents across 3 primary categories: Property Crime (63.9%, 24,393 incidents), Regulatory Offenses (18.9%, 7,193 incidents), Violent Crime (17.2%, 6,570 incidents).
What is BaseScore?
BaseScore is a standardized 0–100 risk rating that enables security teams to compare threat levels across any global location using the same validated methodology. Normalized for population density, weighted by crime severity, and updated monthly from 25,000+ sources, BaseScore delivers the consistent, granular intelligence that replaces fragmented government statistics and expensive consulting assessments. Learn more about our methodology
How Security Teams Use BaseScore
- Get apples-to-apples comparison of risk across your entire location footprint — from Mumbai to Miami to Munich
- Prioritize the highest-risk sites and build a tiered approach to security resource allocation
- Turn hours of manual research into minutes of analysis with standardized, street-level threat intelligence
BaseScore Risk Tiers
| Tier | Score Range | Risk Label |
|---|---|---|
| 1 | 0–20 | Minimal |
| 2 | 21–40 | Low |
| 3 | 41–60 | Moderate ← San Francisco |
| 4 | 61–80 | High |
| 5 | 81–100 | Critical |
Recent Theft News in San Francisco, California
Intelligence Disclaimer: The following news items are sourced via AI agent analysis of open sources. Confidence levels reflect source reliability — High: government or Base Operations verified data; Medium: multiple corroborating sources; Low: single source or extrapolated. AI agents can provide incorrect or misleading information. For verified, up-to-date threat analysis, use the Base Operations platform.
San Francisco police arrest suspect in string of retail thefts
Source: ABC7 News | Date: 2024-02-15 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
San Francisco police have arrested a suspect believed to be involved in multiple retail thefts across the city. The individual was caught after a series of investigations targeting organized retail crime in popular shopping districts. Authorities are continuing to investigate potential connections to other thefts in the area.
Burglary spree hits San Francisco's Marina District, residents on edge
Source: SF Gate | Date: 2024-03-10 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
A wave of burglaries has struck the Marina District in San Francisco, leaving residents concerned for their safety. Multiple homes were targeted over a short period, with thieves taking valuables and personal items. Police are increasing patrols and urging locals to secure their properties.
San Francisco jewelry store robbed in broad daylight, suspects at large
Source: KRON4 | Date: 2024-01-25 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
A jewelry store in downtown San Francisco was robbed in broad daylight by a group of masked individuals. The suspects fled with an undisclosed amount of merchandise, and no injuries were reported. Police are reviewing surveillance footage to identify the perpetrators.
SFPD reports rise in car break-ins across tourist areas
Source: San Francisco Chronicle | Date: 2024-04-05 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
The San Francisco Police Department has noted a significant increase in car break-ins, particularly in tourist-heavy areas like Fisherman’s Wharf. Thieves are targeting rental cars and vehicles with visible belongings, often smashing windows to gain access. Visitors are advised to avoid leaving valuables in their cars.
Suspects arrested in connection with San Francisco pharmacy burglary
Source: CBS News Bay Area | Date: 2024-05-18 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
Two suspects were arrested following a burglary at a pharmacy in San Francisco’s Mission District. The break-in occurred after hours, with the thieves stealing prescription medications and cash. Police are investigating whether this incident is linked to other pharmacy burglaries in the city.
Theft Category Breakdown in San Francisco, California
San Francisco recorded 38,156 total incidents across 3 primary threat categories in 2025.
| Category | 2025 Incidents | % of Total | Monthly Avg |
|---|---|---|---|
| Property Crime | 24,393 | 63.9% | 2,033 |
| Regulatory Offenses | 7,193 | 18.9% | 599 |
| Violent Crime | 6,570 | 17.2% | 548 |
| Total | 38,156 | 100% | 3,201 |
Data source: Base Operations platform, January–December 2025, San Francisco city-level.
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