Description
FOR SALE – Investment or Private Residence Opportunity | 3+1 Bedroom Apartment with Private Patio | Arroios 3+1 bedroom apartment with 122 sqm of Gross Private Area + 26 sqm private patio 📍 Avenida Visconde de Santarém, nº 30 – Lisbon (Next to Avenida Duque de Ávila – Avenidas Novas) Apartment requiring full renovation, ideal for buyers seeking a project with strong appreciation potential in a prime central location. Layout & Features: Two bedrooms facing the main street, with excellent natural light and west-facing exposure One large interior bedroom One additional room/office with a window facing the private patio 26 sqm private patio (logradouro) Raised ground floor This property offers significant potential for reconfiguration, whether for private residence or investment purposes (particularly room-by-room rental), given its strategic and highly sought-after location. For those with vision, this is an opportunity where future value may translate into solid returns. The Building Urban building under horizontal property regime, comprising 5 floors: 2 units on the 1st and 5th floors 2 units on the remaining floors Painted façade with stone base up to the ground-floor window sills Former concierge’s apartment in the basement (generating income for the condominium) Prime Location Within walking distance of: Instituto Superior Técnico (IST) Arroios Alameda Campo Pequeno Saldanha Avenida da República Just steps from: Metro CP (Portuguese Railways) Close to major universities (ISCTE, University of Lisbon, NOVA University, IST and Cidade Universitária), hospitals, shops, restaurants and services. Excellent access to the airport and Lisbon’s main road networks.
Mortgage Calculator
Property value545 000 €
Monthly Payment (*)2202,56 €
(*) 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.