Dark Mode
Montréal Public Safety Geospatial Incident Data
Public Safety & Security
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Understanding the patterns of criminal activity in Montréal is facilitated by these records of acts documented by the Montreal Police Service (SPVM). The information has been carefully modified to protect personal privacy, specifically through the obfuscation of geographic locations to the nearest street intersection and the categorisation of time into specific shifts. By providing a detailed view of different types of offences, from motor vehicle theft to mischief, the collection enables researchers to explore trends and develop predictive models for public safety and urban planning.
Columns
- CATEGORIE: The nature of the criminal event, including classifications such as robbery, mischief, and various types of theft.
- DATE: The specific calendar date the event was reported to the SPVM, provided in YYYY-MM-DD format.
- QUART: The time of day the report was made, divided into day (08:01–16:00), evening (16:01–00:00), and night (00:01–08:00) shifts.
- PDQ: The neighbourhood station number corresponding to the territory where the event occurred.
- X: The geospatial horizontal coordinate based on the MTM8 projection.
- Y: The geospatial vertical coordinate based on the MTM8 projection.
- LATITUDE: The geographic latitude of the event, obfuscated at a street intersection using the WGS84 system.
- LONGITUDE: The geographic longitude of the event, obfuscated at a street intersection using the WGS84 system.
Distribution
The information is provided in a single CSV file named
interventionscitoyendo.csv with a size of approximately 14.17 MB. It consists of 156,000 valid records across 8 columns. The records show high integrity with no mismatched entries, and the collection is scheduled for annual updates to ensure ongoing relevance.Usage
This resource is ideal for developing predictive analytics to forecast crime rates based on historical dates and locations. It is well-suited for social science research exploring the impact of neighbourhood factors on public safety. Additionally, urban planners and law enforcement analysts can use the geographic data to identify crime hotspots and inform strategic decision-making regarding the allocation of resources.
Coverage
The geographic scope is limited to the territory of Montréal, Canada, covered by the SPVM neighbourhood stations. Temporally, the records span from 1 January 2015 to 17 December 2019. The data captures broad urban criminal activity while maintaining privacy through the obfuscation of exact coordinates and specific times.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Criminologists can leverage these records to study the long-term trends of specific offences within an urban environment. Data scientists may utilise the temporal and categorical fields to train machine learning models for crime prediction. Furthermore, public safety officials and community organisations can use the insights to better understand local safety dynamics and plan interventions.
Dataset Name Suggestions
- Montréal Police Service Criminal Acts Registry (2015-2019)
- SPVM Crime Data: Predictive Analytics and Urban Safety
- Montréal Neighbourhood Offence and Incident Log
- Historical Crime Trends in Montréal: 2015–2019
- Montréal Public Safety Geospatial Incident Data
Attributes
Original Data Source:Montréal Public Safety Geospatial Incident Data
QUALITYLoading...
Free
Download Dataset in CSV Format
Recommended Datasets
Loading recommendations...