Live Data Analysis| 1/27/2026

Minneapolis Safety Metrics

Data-Driven Routing in the Twin Cities.

Zone Safety Distribution

698 zones analyzed
Safe (72%)
Caution (14%)
Risky (14%)

Top Incident Types

Vehicle Theft
480
Burglary
198
Traffic Incidents
57

Reviewing Past Year Trends

Score History (0-10)
Jan
8.5 / 10
Feb
8.3 / 10
Mar
8.2 / 10
Apr
8.3 / 10
May
8.1 / 10
Jun
7.8 / 10
Jul
7.9 / 10
Aug
7.9 / 10
Sep
8.2 / 10
Oct
8.2 / 10
Nov
8.1 / 10
Dec
8.1 / 10

Night Travel

Safety scores typically drop between 10 PM and 4 AM. Our data suggests identifying well-lit corridors for late-night travel.

View Street Lighting Map →

Traffic Hotspots

High congestion correlates with pedestrian risk in downtown zones. Check real-time traffic layers before routing.

View Traffic Risk Map →

Safety Ecosystem

Minneapolis is integrated via ArcGIS feature services. We track Police Incidents for crime density and use 311 Service Requests to identify lighting outages. Traffic safety is currently derived from police incident types involving vehicles, ensuring a comprehensive view of street-level risks.

Data Sources & Coverage

Verified

Crime Data

Minneapolis Police Incidents (ArcGIS)

Missing

Traffic Safety

Integrated in Police Incidents

Verified

Infrastructure

Minneapolis 311 Service Requests

Key Features

ArcGIS Integration

Direct connection to city geospatial servers.

Lighting Analysis

311 requests identify dark corners and outages.

Incident Mapping

Granular police report data for accurate risk zones.

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Minneapolis Safety: Twin Cities Data Analysis