продано
Solln: Apartment with city and alpine view
Тип объекта:
Квартира в многоэтажно доме
Жилая площадь ок.:
36,00 m²
Год постройки:
1969
Состояние жилья:
в хорошем состоянии
Лифт:
Есть.
Ванные комнаты:
1
Балкон:
Есть.
Колличество балконов:
1
Подвал:
Нет
Встроенная кухня:
Есть.
Этаж:
10
Топ-хайлайты
Описание
This impressive building, constructed in massive and solid architecture in the course of the Olympic Games in 1968 and renovated in 1998, is in a good, well-maintained and contemporary condition.
The apartment is located on the 10th floor and is modern and tastefully furnished.
The open plan living/sleeping area has a small fitted kitchen with white fitted cupboards, fridge, 2 plate ceran stove, and combination grill/microwave, dishwasher and sink.
All necessary kitchen items: toaster, coffee maker, cutlery, pots, glasses, crockery, as well as towels and bed linen are provided.
At the dining counter you sit comfortably and enjoy a wonderful view through the large window front.
In the living-sleeping area, which is visually separated by a shelf, there is a desk, which is ideal for working in the comfort of your home. After work, stylish seating furniture by Corbusier invites you to relax or enjoy the beautiful panoramic view on the balcony.
A double bed (180x200cm) ensures a restful sleep.
In the modern equipped bathroom you will find a spacious shower, a washbasin and toilet. A cellar compartment is not available.
Absolute highlight - the house offers its own swimming pool and sauna!
In the garden area, a large pool with sunbathing lawn is available to the residents in the summer.
In the basement there is a laundry room with coin-operated washing machines and dryers. Storage space for bicycles is available.
Информация об энергии
Тип отопления:
Система центрального отопления
Класс энергоэффективности:
E
Значение энергетической характеристики:
145,00 kWh/(m²*a)
Источник энергии:
централизованное отопление,
Тип сертификата энергетической эффективности:
Сертификат энергопотребления
Год постройки:
1969
Перевод: DeepL