Description
Ocean Terrace | 2-Bedroom Apartment in Leça da Palmeira A 2-bedroom apartment at Ocean Terrace, a gated community in Leça da Palmeira featuring extensive landscaped gardens and a range of amenities designed for the comfort and well-being of its residents. The apartment offers a functional layout, spacious rooms, and a seamless connection between indoor and outdoor areas.
Layout: • Living room with access to the balcony • Open-plan kitchen • 2 bedrooms (1 en-suite) • 1 full bathroom (plus 1 guest toilet/powder room) • Entrance hall • 1 outdoor balcony • 1 parking space The balconies and terraces are designed as extensions of the interior living areas, providing extra space, abundant natural light, and a stronger connection to the outdoors.
Key finishes and features include multi-layer oak flooring, TECHNAL window frames with thermal break and double glazing, a kitchen equipped with MIELE appliances, PORCELANOSA KRION countertops, and GROHE fixtures. The bedrooms feature built-in wardrobes and electric blackout blinds. [In applicable units: the living room and bedrooms are also equipped with air conditioning.] The complex offers a swimming pool, gym, padel court, children's playground, landscaped gardens, communal and leisure rooms, bicycle parking, electric vehicle charging stations, and 24-hour concierge and security services.
The location allows residents to enjoy Leça da Palmeira while maintaining a quick connection to Porto. The beaches are approximately 1 km away, Francisco Sá Carneiro Airport is about 7 minutes away, and Porto city center is roughly 10 minutes away. A home for those who value quality construction, comfort, outdoor space, and a location close to the sea.
Mortgage Calculator
Property value625 000 €
Monthly Payment (*)2525,88 €
(*) The monthly payment shown is a reference value, based on a variable rate (6-month Euribor), and does not replace a more complete and detailed financial analysis!
The information resulting from these simulations is merely indicative, intended to guide the estimated cost, according to the data provided by the user. Each financial institution has its own financing policies and conditions, and is not bound by the results of this simulation.