One bedroom apartment in a new residential project on Lincoln Blvd
Call us

One bedroom apartment in a new residential project on Lincoln Blvd

2-rooms Sofia , Ovcha Kupel 1

Ref. no.: 852
172 500 EUR

Main characteristics

Detailed property information

Offer type FOR SALE
Property type 2-rooms
Area 70.89 m²
Year built 2028 г.
Furnishing Unfurnished
Construction Brick
Price per sq.m. 2,433 €
Location Sofia, Ovcha Kupel 1
Floor 8 of 8
Property code 852

Description

Forton Homes presents a two-bedroom apartment N B43 in the new residential project "Amalia," located in the Ovcha Kupel district, on Lincoln Blvd – a communicative location with quick access to the metro station and main roads. The building includes a total of 136 apartments (two-bedroom and three-bedroom) with functional layouts, regular shapes, and optimal use of space.

The apartment has a total area of 70.89 sqm, facing northeast, and consists of a living room, a bedroom, a bathroom with a toilet, a storage room, and a terrace. Parking is arranged through an underground parking facility with designated parking spaces and garages for the convenience of the residents. A green internal environment is planned with areas for relaxation and a children's playground.

Technical specifications: Facade: Modern facade system with high-class thermal insulation; Heating: District heating with the possibility of individual air conditioning; Comfort: Spacious homes with functional layouts; Security: Video surveillance and controlled access.

The project is in an advanced stage of construction (ACT 14) with planned completion in 2028. Prices: from 2,000 euros/sqm (including VAT)

Directions in Google Maps Open in Waze

Contact us about this property

Have questions about this property? Contact us and we will reply as soon as possible.

Consultants

Broker photo
Sofiya Dimitrova
sofia.dimitrova@fortonhomes.com
All listings by Sofia (35)

Contact Information

Gr. Sofiya, Bul. Tsarigradsko Shose 115G, Et.9
Address

Send an inquiry

I agree to the processing of my personal data