House for sale, via Volterrana Nuova, Toscana, Firenze, in San Casciano in Val di Pesa, Italy

Via Volterrana, via Volterrana Nuova, Toscana, Firenze
Detached house • 10 room(s) • 8 bed. • 5 bath. • 599.97 m² • ref: MEMZPC
GBP 898,600
Charming country house with its adjoining barn, for a total of approximately 600 m2, 20 minutes from Florence on the hills of San Casciano, immersed in the greenery of the privacy of a harmonious garden with various types of plants and an olive grove of approximately 6 hectares. The main house, on sloping land, is in need of modernisation works to make its large rooms shine again. With a number of direct accesses to the garden, the ground floor lends itself to the most diverse distributions of rooms: from the entrance loggia you can enter both the kitchen and the living room, in addition to two other large bedrooms, bathroom and closet. A staircase leads to the upper floor where we find three bedrooms and a bathroom, as well as a splendid covered loggia. The first floor currently offers a further small apartment with two rooms and a bathroom which is accessed by an external staircase and that can naturally be merged again with the rest of the floor. The former barn is now a separate apartment with an entrance with large windows, surrounded by flowers and a beautiful access terrace, with two large rooms, bathroom and closet. Bright and panoramic, it's a perfect solution for guests or for a separate study area. On the lower floor of the barn there is a large warehouse that can be used for any of your needs: leave it as it is and use it as a garage, or renovate it to have an additional guest or staff area. A property of great charm with enormous potential.

Spaces

Rooms10
Bedrooms8
Bathrooms5

Surfaces

Living599.97 m²
Internal55.74 m²
Garage
Terrace

via Volterrana Nuova, Toscana, Firenze, San Casciano in Val di Pesa

Views and orientation extracted by AI.
Panoramic view on countryside
TypeHouse
Construction year1880
Energy efficiency ratingNo data
Environmental (CO₂) impact ratingNo data