

Springfield, Missouri carries a BaseScore of 35/100 (Tier 2: Low), with 7,508 total threat incidents recorded across the city in 2025. Security teams evaluating Springfield for operations, travel, or site selection need street-level intelligence to assess risk across their specific operating locations.
Property Crime is Springfield's largest threat category at 60.7% of all recorded incidents — 4,556 of 7,508 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.
Springfield's BaseScore of 35/100 places the city in Tier 2: Low on the Base Operations risk scale. In 2025, the city recorded 7,508 total incidents across 3 primary categories: Property Crime (60.7%, 4,556 incidents), Violent Crime (23.6%, 1,771 incidents), Regulatory Offenses (15.7%, 1,181 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 ← Springfield |
| 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: KY3 | 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.
Springfield Police are investigating multiple burglaries reported in a south side neighborhood over the past week. Residents have reported stolen electronics and jewelry, with no suspects identified yet. Authorities are urging locals to secure their homes and report suspicious activity.
Source: Ozarks First | Date: 2024-03-22 | 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.
A 34-year-old man was arrested following a robbery at a convenience store on West Sunshine Street in Springfield. The suspect allegedly threatened the clerk with a weapon before fleeing with cash. Police apprehended him nearby after a short pursuit.
Source: Springfield News-Leader | Date: 2024-01-10 | 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 local business in Springfield reported a burglary overnight, with thieves stealing thousands of dollars worth of equipment. Security footage captured two individuals breaking in through a back entrance. Police are asking for public assistance in identifying the suspects.
Source: KY3 | 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.
Springfield Police are searching for two suspects involved in a home invasion robbery on the north side of the city. The intruders reportedly entered the home while the residents were present, stealing valuables before fleeing. No injuries were reported, and the investigation is ongoing.
Source: Ozarks First | Date: 2024-04-03 | 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 pawn shop in downtown Springfield was targeted in a smash-and-grab theft early Wednesday morning. Thieves broke the front window and stole several high-value items, including firearms. Police are reviewing surveillance footage to identify the culprits.
Springfield recorded 7,508 total incidents across 3 primary threat categories in 2025.
| Category | 2025 Incidents | % of Total | Monthly Avg |
|---|---|---|---|
| Property Crime | 4,556 | 60.7% | 380 |
| Violent Crime | 1,771 | 23.6% | 148 |
| Regulatory Offenses | 1,181 | 15.7% | 98 |
| Total | 7,508 | 100% | 629 |
Data source: Base Operations platform, January–December 2025, Springfield 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.
