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๐Ÿ™๏ธ Toronto Neighborhood Crime Statistics

Comparing crime rates across Toronto's neighborhoods

๐Ÿ•’ Last updated: December 1st, 2024

Show per 100,000 population
Rankings ๐Ÿ“ŠInfo โ„น๏ธViolent Crimes ๐ŸšจProperty Crimes ๐Ÿ 
Understanding the Data

About This Data

This dashboard presents crime statistics for various neighborhoods in Toronto. The data is compiled from official police reports and is intended to provide a comparative view of crime rates across the city. Use this information to understand relative safety levels, but remember that many factors contribute to neighborhood safety beyond these statistics.

Contains information licensed under the Open Government Licence โ€“ Toronto

Summary Metrics Formula

Score=โˆ‘i(wiร—minโก(100,CrimesiPopulationร—100,000Thresholdiร—100))\text{Score} = \sum_{i} \left(w_i \times \min\left(100, \frac{\text{Crimes}_i}{\text{Population}} \times \frac{100,000}{\text{Threshold}_i} \times 100\right)\right)

The crime score is calculated as a weighted sum of nine different crime rates (each normalized per 100,000 population and capped at 100), where more severe crimes like homicide (35%) and shootings (25%) have higher weights than lesser crimes like bike theft (2%).

Emoji Indicator Legend

โœจ Super Safe (โ‰ค 1000)
๐ŸŸข Safe (1001-2000)
๐ŸŸก Medium (2001-3000)
๐Ÿ”ด High (> 3000)

Understanding Per 100,000 Population Statistics

When enabled, crime rates are shown per 100,000 residents to allow fair comparisons between neighborhoods with different populations. The rate is calculated by: (number of incidents รท population) ร— 100,000.

This normalization helps you compare crime rates across neighborhoods, regardless of their population size.

Crime Type Definitions

  • Homicides: Unlawful death of a person
  • Shootings: Discharge of a firearm
  • Assaults: Physical attacks
  • Robberies: Theft using force or threat
  • Break & Enter: Unlawful entry into a property
  • Auto Theft: Stealing of motor vehicles
  • Major Theft: Theft over $5000
  • Vehicle Break-ins: Theft from motor vehicles
  • Bike Theft: Stealing of bicycles