Description
2 bedroom apartment | 1 suite | 2 balconies
Apartment with 104.00m2 of gross private area with one suite, one bedroom and a guest bathroom. The open-plan kitchen and living room have an area of 45.00m2.
In the regular geometry of the Pombaline façades, there are bay windows that bring the light of Lisbon into the interiors, giving a clean environment, designed to provide the greatest comfort and convenience.
The materials, coverings and equipment are of the highest quality and design, providing a life of comfort and leisure in a home in the heart of the city. These beautiful one-, two- and three-bedroom apartments have high ceilings, architectural hallmarks and areas ranging from 57m2 to 163m2.
A tasteful choice for those looking to invest in a brand new home, these beautiful apartments are located just a few minutes from the main services such as the CUF hospital, Alcântara-Mar train station, which allows you to reach Cais de Sodré in 5 minutes, or Sintra or Cascais in less than 30 minutes. Easy access to the main roads with the Eixo Norte-Sul, A2 and A5 is a great advantage for getting in and out of Lisbon comfortably and in a short time.
Also nearby are various monuments such as the Jerónimos Monastery, the Belém Tower, the Ajuda Palace, the MAAT and other museums, symbols of Portuguese culture, alongside other icons such as the 25 de Abril Bridge, LX Factory, the Alcântara Docks and the Port of Lisbon.
There are many reasons not to miss this opportunity to live in a historic building on Rua Prior do Crato, a lively area of history and culture just a few steps from the Docas de Alcântara and LX Factory, emblematic places of movement and gastronomy.
Mortgage Calculator
Property value752 500 €
Down Payment75 250 €10%
Monthly Payment (*)3041,16 €
(*) 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.