Description
4-Bedroom House with Land and Open Views – Baralha, Canhestros This 4-bedroom house is set on a large plot of 17,090 m², located in the quiet and easily accessible area of Baralha, in Canhestros, just a few minutes from the main urban centers and the Algarve beaches. The house offers 205 m² of gross private area, featuring spacious, well-distributed rooms with excellent natural light.
The main floor consists of an open-plan living area combining dining and living rooms, the latter with a balcony and generous spaces, ideal for social gatherings and leisure. It also includes four bedrooms, providing comfort and functionality for the whole family. On the lower floor, there is a garage offering parking and storage space.
Outside, the rear terrace with barbecue stands out, perfect for outdoor dining and relaxation, set in an environment of complete tranquility and privacy. The property also includes a ruin of approximately 45 m², with potential for renovation and value enhancement. Located in an elevated area, it benefits from open, unobstructed views over the surrounding landscape.
The terraced land facilitates agriculture and livestock farming, making it ideal for rural projects or nature tourism. Infrastructure includes: Borehole water; Mains water supply; Irrigation water from the dam. Strategic location: 6.5 km from Silves; 7.8 km from Messines (A2 access); 11.5 km from Lagoa (A22 access); Approximately 13 km from Armação de Pêra (beaches).
An excellent opportunity for those seeking space, comfort, and quality of life in a central Algarve location, with easy access to services, main roads, and beaches.
Mortgage Calculator
Property value711 000 €
Monthly Payment (*)2873,44 €
(*) 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.