safety

name	safety
description	Access public safety and security data for Montréal: criminal incidents, emergency service interventions (fire, police), 311 citizen requests, traffic collisions, fire stations, police stations, coyote sightings, and fire hydrant locations. / Accéder aux données de sécurité publique de Montréal : incidents criminels, interventions des services d'urgence (incendies, police), demandes 311, collisions routières, casernes de pompiers, postes de police, signalements de coyotes et emplacements des bornes fontaines.
triggers	["crime, criminal, police, fire, emergency, 911, collision, accident, safety, security, coyote","crime, criminalité, police, incendie, urgence, collision, accident, sécurité, coyote"]

Public Safety Data / Données de sécurité publique

Available Datasets / Jeux de données disponibles

Dataset	Slug	Format	Update Frequency	Records (approx)
Criminal acts	actes-criminels	CSV (DataStore)	Daily	500K+
311 Service requests	requete-311	CSV (DataStore)	Real-time	1M+
Road collisions	collisions-routieres	CSV (DataStore)	Daily	100K+
Fire department interventions	interventions-service-securite-incendie-montreal	CSV (DataStore)	Daily	500K+
Fire stations	casernes-pompiers	CSV + GeoJSON	Static	42 stations
Police stations	carte-postes-quartier	GeoJSON	Static	42 stations
Police district boundaries	limites-pdq-spvm	GeoJSON	Static	42 districts
Coyote sightings	signalements-de-coyotes	CSV (DataStore)	Real-time	5K+
Fire hydrants	geolocalisation-des-bornes-fontaines	CSV + GeoJSON	Monthly	8K+

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1. Criminal Acts / Actes criminels

Slug: actes-criminels Coverage: All incidents reported to SPVM (Service de police de la Ville de Montréal) Records: 500,000+ since ~2010

Key Fields

Field	Type	Notes
DATE	datetime	Date/time of incident
CATEGORIE	text	Major crime category (FR)
SOUS_CATEGORIE	text	Crime subcategory (FR)
X	float	NAD 83 MTM Zone 8 coordinate
Y	float	NAD 83 MTM Zone 8 coordinate
Latitude	float	WGS84 latitude
Longitude	float	WGS84 longitude
QUARTIER	text	Neighborhood name (FR)

Common Queries

# Count crimes by category (last year)
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"CATEGORIE",COUNT(*)+as+total+FROM+"RESOURCE_UUID"+WHERE+"DATE">%272025-01-01%27+GROUP+BY+"CATEGORIE"+ORDER+BY+total+DESC'

# Crimes near a location
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"DATE","CATEGORIE","SOUS_CATEGORIE","Latitude","Longitude"+FROM+"RESOURCE_UUID"+WHERE+("Latitude"-45.5171)^2+("Longitude"-(-73.5629))^2<0.001+LIMIT+100'

# Crimes by neighborhood (month)
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"QUARTIER",COUNT(*)+as+total+FROM+"RESOURCE_UUID"+WHERE+DATE_TRUNC(%27month%27,"DATE")=%272026-03-01%27+GROUP+BY+"QUARTIER"+ORDER+BY+total+DESC'

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2. 311 Citizen Service Requests / Demandes de services 311

Slug: requete-311 Coverage: All non-emergency requests to City services (potholes, noise, graffiti, street cleaning, etc.) Records: 1M+ entries

Key Fields

Field	Type	Notes
RequestID	text	Unique request ID
CreatedDate	datetime	Request submission date
Status	text	Open, Closed, In Progress (EN)
Category	text	Service category
Description	text	Citizen description
Latitude	float	WGS84
Longitude	float	WGS84
Ward	text	Borough/Ward (EN)

Common Queries

# Total requests by category
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"Category",COUNT(*)+as+total+FROM+"RESOURCE_UUID"+GROUP+BY+"Category"+ORDER+BY+total+DESC'

# Open requests in a location
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search?resource_id=RESOURCE_UUID&filters={"Status":"Open"}&limit=50'

---

3. Road Collisions / Collisions routières

Slug: collisions-routieres Coverage: Police-reported traffic collisions (injury, property damage) Records: 100,000+ incidents

Key Fields

Field	Type	Notes
NO_ACCIDENT	text	Collision ID
DT_ACCIDENT	datetime	Date/time of collision
NOM_RUE_1	text	First street (FR)
NOM_RUE_2	text	Second street (FR)
GRAVITE	text	Severity: Fatal, Injury, Property damage (FR)
LATITUDE	float	WGS84
LONGITUDE	float	WGS84
NB_MORTS	int	Fatalities
NB_BLESSES_GRAVES	int	Serious injuries
NB_BLESSES_LEGERS	int	Minor injuries

Common Queries

# Collisions by severity (current year)
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"GRAVITE",COUNT(*)+as+total+FROM+"RESOURCE_UUID"+WHERE+YEAR("DT_ACCIDENT")=2026+GROUP+BY+"GRAVITE"'

# Fatal collisions
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search?resource_id=RESOURCE_UUID&filters={"GRAVITE":"Décès"}&limit=100'

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4. Fire Department Interventions / Interventions du service de sécurité incendie

Slug: interventions-service-securite-incendie-montreal Coverage: All SSIM (Service de sécurité incendie de Montréal) emergency responses Records: 500,000+ calls annually

Key Fields

Field	Type	Notes
NumIntervention	text	Intervention ID
DateDebut	datetime	Response start time
CodeIncident	text	Incident type code
DescriptionIncident	text	Description (FR)
Arrondissement	text	Borough (FR)
Longitude	float	WGS84
Latitude	float	WGS84
TempsReaction	int	Response time (minutes)

Common Queries

# Incidents by type
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"CodeIncident","DescriptionIncident",COUNT(*)+as+total+FROM+"RESOURCE_UUID"+GROUP+BY+"CodeIncident","DescriptionIncident"+ORDER+BY+total+DESC+LIMIT+20'

# Average response time by borough
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"Arrondissement",AVG("TempsReaction")+as+avg_response+FROM+"RESOURCE_UUID"+GROUP+BY+"Arrondissement"+ORDER+BY+avg_response'

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5. Fire Stations / Casernes de pompiers

Slug: casernes-pompiers Format: CSV + GeoJSON Coverage: 42 fire stations across Montréal Update: Static (stations don't move frequently)

Key Fields

Field	Type	Notes
Station_ID	text	SSIM station code
Nom	text	Station name (FR)
Adresse	text	Street address
Telephone	text	Station phone
Latitude	float	WGS84
Longitude	float	WGS84

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6. Police Stations / Postes de police

Slug: carte-postes-quartier Format: GeoJSON Coverage: 42 police stations (PDQ = Poste de quartier) Update: Static

Key Fields

Field	Type	Notes
name	text	Station name (FR)
address	text	Street address
phone	text	Contact number
geometry	GeoJSON	Point coordinates (WGS84)

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7. Police District Boundaries / Limites des PDQ

Slug: limites-pdq-spvm Format: GeoJSON (Polygon) Coverage: 42 district boundaries Use for: Spatial joins with crime data

Key Fields

Field	Type	Notes
PDQ_Name	text	District name (e.g., "Centre")
PDQ_Number	text	District code (e.g., "01")
geometry	GeoJSON	Polygon boundary (WGS84)

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8. Coyote Sightings / Signalements de coyotes

Slug: signalements-de-coyotes Coverage: Public coyote sightings reported to Ville de Montréal Records: 5,000+ sightings (growing dataset)

Key Fields

Field	Type	Notes
DateSignalement	datetime	Sighting date
Adresse	text	Location (street address)
Description	text	What was observed (FR)
Latitude	float	WGS84
Longitude	float	WGS84
Arrondissement	text	Borough (FR)

Common Queries

# Coyote sightings by borough (last month)
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search_sql?sql=SELECT+"Arrondissement",COUNT(*)+as+total+FROM+"RESOURCE_UUID"+WHERE+"DateSignalement">%272026-02-13%27+GROUP+BY+"Arrondissement"+ORDER+BY+total+DESC'

# Sightings near a location
curl -s 'https://donnees.montreal.ca/api/3/action/datastore_search?resource_id=RESOURCE_UUID&limit=50&sort=DateSignalement+desc'

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9. Fire Hydrants / Bornes fontaines

Slug: geolocalisation-des-bornes-fontaines Format: CSV + GeoJSON Coverage: 8,000+ fire hydrants across Montréal Update: Monthly

Key Fields

Field	Type	Notes
HydrantID	text	Unique hydrant ID
Adresse	text	Street location
RuePrincipale	text	Primary street (FR)
RueSecondaire	text	Cross street (FR)
Latitude	float	WGS84
Longitude	float	WGS84
Arrondissement	text	Borough (FR)
TypeBorne	text	Hydrant type (above/below ground)

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Common Questions / Questions fréquentes

Question	Dataset	Query Approach
"How many crimes in [neighborhood] last year?"	actes-criminels	SQL GROUP BY QUARTIER, DATE range
"What's the most common crime?"	actes-criminels	SQL GROUP BY CATEGORIE
"How many collisions on [street]?"	collisions-routieres	SQL filter on street name
"Nearest fire station to my address?"	casernes-pompiers	Distance calculation (spatial)
"Police station serving my area?"	carte-postes-quartier + limites-pdq-spvm	Point-in-polygon GeoJSON
"Any 311 requests for potholes?"	requete-311	Filter by Category
"Recent coyote sightings?"	signalements-de-coyotes	Sort by DateSignalement DESC
"Fire hydrant locations for [street]?"	geolocalisation-des-bornes-fontaines	Filter by street name

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Gotchas & Edge Cases / Pièges et cas limites

1. Coordinate systems: Latitude/Longitude = WGS84 (standard). Some datasets also have X/Y = NAD 83 MTM Zone 8. Always check.

2. Crime data lag: Criminal acts data is updated daily but may have a 24–48 hour lag.

3. 311 requests do not have precise categories in all versions. Categories may be abbreviated (e.g., "POT" for pothole). Check the resource schema.

4. Collision severity field is bilingual. Values: "Décès", "Blessés graves", "Dommages matériels" (FR). Do not hard-code English values.

5. Fire station phone numbers may change. Always call 911 for emergencies; use phone field for non-emergency queries only.

6. Coyote sightings are self-reported. Data quality varies; not all sightings are confirmed by wildlife experts.

7. Fire hydrants include both above-ground and below-ground types. Check TypeBorne field to filter if needed.

8. Large datasets (crimes, 311, collisions, fire interventions). Always use LIMIT and pagination. Avoid fetching entire datasets.

9. Police district boundaries are GeoJSON (Polygon). Requires GIS library for point-in-polygon queries; consider spatial index for performance.

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Provenance / Provenance

Source	Publisher	Gov Level	License	Contact
Criminal acts	SPVM (Police de Montréal)	Municipal	CC BY 4.0	[e-mail]
311 Requests	Ville de Montréal	Municipal	CC BY 4.0	[e-mail]
Road collisions	SPVM + MTQ	Municipal/Provincial	CC BY 4.0	[e-mail]
Fire interventions	SSIM (Montréal Fire Service)	Municipal	CC BY 4.0	[e-mail]
Fire stations	SSIM	Municipal	CC BY 4.0	[e-mail]
Police stations	SPVM	Municipal	CC BY 4.0	[e-mail]
Police districts	SPVM	Municipal	CC BY 4.0	[e-mail]
Coyote sightings	Ville de Montréal (Public Health)	Municipal	CC BY 4.0	[e-mail]
Fire hydrants	Ville de Montréal (Infrastructure)	Municipal	CC BY 4.0	[e-mail]

All datasets: Published by Ville de Montréal. License: CC BY 4.0 (Creative Commons Attribution 4.0 International).

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Related Skills / Compétences connexes

• query-dataset — SQL patterns for DataStore queries
• spatial-queries — Geographic proximity and point-in-polygon searches
• borough-context — Neighborhood names, district codes, boundaries
• bilingual-handling — French/English crime categories, incident types
• geojson-handling — Working with fire stations, police boundaries as GeoJSON