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Interactive Street View
1111 Rue Arthur-Lismer #1006
montréal (Ahuntsic-Cartierville) Québec, H4N
Interactive Street View
1111 Rue Arthur-Lismer #1006
montréal (Ahuntsic-Cartierville) Québec, H4N
Les Grands Châteaux Bois de Boulogne
98 units
10 floors
Built 1994
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View all units
Outdoor space
Outdoor space
Terrace
Elevator
Elevator
Yes
Gym
Gym
No
Pool
Pool
None
Spa
Spa
No
Sauna
Sauna
No
Doorman
Doorman
No
Valet
Valet
?
Tennis
Tennis
No
Divided Condo - 10th floor925 Square feet
2 chambresAbove ground 2 • Basement 0
1 salles de bainComplètes 1 • Powder Room 0
1 stationnementsIndoor 1 • Outdoor 0
Outdoor space?
Estimated luxury level - Standard
B
Air Conditioned?
Water view?
Monthly condo fees$370
Square feet
925
Floor
10
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Estimated luxury level
Luxury level influences value.Adjust it to recalculate.
Standard
B
Bedroom(s)
bed
Above ground
2
Basement
0
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Parking
parking
Indoor
1
Outdoor
?
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Bathroom(s)
bathroom
Bathroom(s)
1
Powder room(s)
0
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air conditioned
Air Conditioned
?
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outdoor
Outdoor space
?
vue sur l'eau
Water view
?
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condo fee
Monthly condo fees
$370
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Estimated luxury level
Modest Comfort
C+
$414,261
Estimated luxury level
Standard
B
$414,261
Estimated luxury level
Improved
B+
$414,261
Chargement de l'historique...

Estimated value —

$414,261

(+$8,808 vs sector average)

Valuation summary

It is based on a location-driven model combined with feature adjustments (size, bedrooms, bathrooms, parking, and finish level). In Ahuntsic-Cartierville, a condo with similar features is typically positioned on the higher end. In this sector, a “typical” condo (a standard size, a typical lot, standard finish, and built between 1970 and 2000) typically falls in the $400,000–$450,000 band (broad sample). Year built (1994) is close to the sector average (-2 years).

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Property & local context

The colors shown on the map represent the location value assigned to each address. They reflect micro-local environmental differences—such as noise, traffic, or proximity to services—that can affect value even over short distances.

A directional estimate to help guide your decisions. This estimate is generated by an algorithmic model from the available information. It may differ from an actual transaction price.

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