

Temecula, California carries a BaseScore of 27/100 (Tier 2: Low), with 4,323 total threat incidents recorded across the city in 2025. Security teams evaluating Temecula for operations, travel, or site selection need street-level intelligence to assess risk across their specific operating locations.
Property Crime is Temecula's largest threat category at 60.9% of all recorded incidents — 2,634 of 4,323 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.
Temecula's BaseScore of 27/100 places the city in Tier 2: Low on the Base Operations risk scale. In 2025, the city recorded 4,323 total incidents across 3 primary categories: Property Crime (60.9%, 2,634 incidents), Regulatory Offenses (28.1%, 1,215 incidents), Violent Crime (11.0%, 474 incidents).
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
| Tier | Score Range | Risk Label |
|---|---|---|
| 1 | 0–20 | Minimal |
| 2 | 21–40 | Low ← Temecula |
| 3 | 41–60 | Moderate |
| 4 | 61–80 | High |
| 5 | 81–100 | Critical |
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.
Source: Patch | Date: 2024-02-12 | 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.
Temecula Valley High School was vandalized over the weekend, with suspects breaking into the campus and stealing equipment. The Riverside County Sheriff's Department is investigating the incident and seeking public assistance to identify the perpetrators. Damage and stolen items are still being assessed by school officials.
Source: MyNewsLA | Date: 2024-03-05 | 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.
A Temecula man was arrested after allegedly committing multiple burglaries in the area over several weeks. The suspect is accused of targeting local businesses and residences, stealing cash and valuables. Authorities recovered some stolen property and are continuing to investigate related cases.
Source: KESQ | Date: 2024-01-18 | 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.
Deputies arrested a suspect linked to a robbery at a Temecula jewelry store, where valuable items were stolen. The incident occurred in broad daylight, and the suspect fled before being apprehended after a short pursuit. The investigation is ongoing to determine if others were involved.
Source: Valley News | Date: 2024-04-22 | 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.
Temecula police are investigating a series of residential burglaries reported in several neighborhoods over the past month. Homeowners have reported missing electronics, jewelry, and cash, with entry often gained through unlocked windows or doors. Authorities are urging residents to secure their homes and report suspicious activity.
Source: ABC7 Los Angeles | Date: 2024-05-10 | 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.
Surveillance footage captured two suspects stealing merchandise from a retail store in Temecula, prompting a police search. The theft occurred late at night, with the suspects fleeing before officers arrived. The store reported significant losses, and authorities are asking for public help to identify the individuals.
Temecula recorded 4,323 total incidents across 3 primary threat categories in 2025.
| Category | 2025 Incidents | % of Total | Monthly Avg |
|---|---|---|---|
| Property Crime | 2,634 | 60.9% | 220 |
| Regulatory Offenses | 1,215 | 28.1% | 101 |
| Violent Crime | 474 | 11.0% | 40 |
| Total | 4,323 | 100% | 362 |
Data source: Base Operations platform, January–December 2025, Temecula city-level.
Boundary maps show you how risk shifts block by block so your team spots vulnerabilities other assessments miss.

Drill down to individual incident coordinates for the context your team needs to make confident security recommendations.

See where specific threat types cluster, giving your analysts a clear starting point for any site assessment.
