Apartment T2 for sale in Vila Nova de Gaia

Apartment T2 in Vila Nova de Gaia with elevator

Canidelo

Sold

320 000 €

Buy
id. 125471050-165

133 m²

2

3

B-

Description

High-Quality 2-Bedroom Apartment – Pinhais da Arrábida, Vila Nova de Gaia

High-quality 2-bedroom apartment, featuring superior construction and finishes, located in a quiet and prestigious residential area of Pinhais da Arrábida, in Vila Nova de Gaia.

This property stands out for its generous areas, comfort, and functionality, offering a modern and sophisticated living experience.

The apartment comprises:
•⁠ ⁠Entrance hall;
•⁠ ⁠Spacious living room with direct access to a balcony;
•⁠ ⁠Kitchen with laundry area, directly connected to the living room;
•⁠ ⁠Guest bathroom;
•⁠ ⁠Hallway providing access to the bedrooms;
•⁠ ⁠2 en-suite bedrooms, both with access to a shared balcony;
•⁠ ⁠Private box garage.

Equipment and features:
•⁠ ⁠Central vacuum system;
•⁠ ⁠Electric shutters;
•⁠ ⁠Integrated sound system.

Prime location, close to shops, services, schools, and public transport, with quick access to the main road networks, ensuring quality of life and everyday convenience.

This apartment is ideal for those seeking comfort, exclusivity, and an excellent location.

Schedule your visit and discover your future home!

Details

Private Gross Area m²133
Gross Area m²- -
Total Lot Size m²- -
Living Area m²112
Bedrooms2
Construction Year2006
Floor3rd Floor
WC/Bathrooms3
ElevatorYes
Parking1 Place
Electric Cars ChargingNo

Energetic details

Energy efficiency

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Map

Rooms

Kitchen
Bedroom
Bedroom
Living Room
Credit Simulation
Listing Price
320 000 €
30 years
Monthly Payment (*)
0

(*) The monthly installment indicated corresponds to a reference value, based on a variable rate (6-month Euribor), not dispensing with a more complete and detailed financial analysis! The information resulting from these simulations is merely indicative, with the purpose of providing guidance on the estimated cost, according to the data indicated by the user. Each financial entity has its own policies and financing conditions, and are not bound by the results of this simulation.