Profil du quartier
Immobilier à Plateau Mont-Royal
Statistiques, tendances de révision et aperçu local pour Plateau Mont-Royal.
Résumé local
The Plateau Mont-Royal is arguably Montreal’s most iconic neighborhood, characterized by its colorful row houses, exterior wrought-iron staircases, and dense canopy of mature trees. Bounded by Mount Royal to the west and extending toward the CPR tracks to the east, it offers a highly walkable, transit-rich lifestyle that commands a premium in the local real estate market.
Housing stock here is predominantly composed of older plexes—duplexes, triplexes, and larger multi-family buildings—many of which date back to the early 20th century. Over the past two decades, a significant portion of these have been converted into undivided or divided co-ownerships (condos), while others have been restored into spacious single-family homes. Buyers should be prepared for heritage preservation rules that govern exterior renovations, as well as the realities of older construction, such as stone foundations and aging plumbing, which make thorough pre-purchase inspections essential.
The neighborhood’s appeal is driven by its vibrant commercial arteries, including Avenue du Mont-Royal, Rue Saint-Denis, and Boulevard Saint-Laurent, which are lined with independent cafés, boutiques, and renowned dining spots. Proximity to downtown, McGill University, and UQAM ensures strong rental demand, making plexes attractive to investors despite high entry prices.
In the current market, the Plateau often sees lower days-on-market than off-island suburbs, though price revisions do occur when sellers overprice unrenovated units. Buyers tracking the market should pay close attention to the price per square foot, which varies significantly between fully modernized units with parking and those requiring substantial updates. Parking is notoriously scarce; properties with private garages or dedicated spots carry a substantial premium.
Données en date du juill. 2026 · Source : MaVille Workstation
Figures on the board are derived from documented Supabase tables and cached on a fixed schedule. Methodology below reflects the live v2 application.