Description
Investment Opportunity in Central Lisbon – Tenanted 2-Bedroom Apartment in Praça do Chile
Situated on the 4th floor of a traditional Lisbon building on Rua Morais Soares, this bright and spacious 2-bedroom apartment offers an exceptional opportunity for investors seeking a centrally located asset in one of the capital’s most vibrant areas. The property was fully renovated in 2003.
Property Features:
2 bedrooms
2 living rooms
Fully equipped, functional kitchen
Complete bathroom + additional WC
Storage area
2 balconies with excellent natural light and open city views
Prime Location:
Ideally located in Praça do Chile, a dynamic and well-connected area, the property is surrounded by a wide range of amenities — traditional shops, supermarkets, pharmacies, banks, and reputable educational institutions such as Instituto Superior Técnico. Green areas like Alameda Dom Afonso Henriques are also nearby, adding to the appeal and quality of life.
Excellent Transport Links:
Arroios Metro Station just 100 metres away
Several bus lines within walking distance
Easy access to Lisbon’s main road connections
Additional Information:
The apartment is currently rented for €500/month, under an informal tenancy agreement (not formalized in writing). Due to this condition, property viewings are temporarily unavailable.
This is a high-potential investment property, offering long-term appreciation in one of Lisbon’s most desirable neighbourhoods. Its central location, generous layout, and open views are all highly valued in the local real estate market.
📩 For more information, please get in touch. A great opportunity to secure a solid asset in Lisbon’s thriving property market.
Mortgage Calculator
Property value295 000 €
Monthly Payment (*)1192,21 €
(*) 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.