Description

Lovely one bedroom apartment located in the popular trendy Indische neighbourhood. The apartment complex dates from 1916 and is part of a monument designed by architect H.P. Berlage. In 2005 the entire apartment complex was completely renovated. The Benkoelenstraat is a quiet car-free street situated between Javastraat and Balistraat within walking distance of many stores, bars and restaurants (including Wilde Zwijnen, Studio K, bar Basquiat). The Oosterpark and Flevopark are just around the corner, there is also a good public transport connection with tram and bus in front of the door and the Muiderpoort station within walking distance, also the A10 and A1 highways are a few minutes away by car. 

LAYOUT
Through the spacious communal staircase you can enter the apartment on the second floor. The hall gives access to the bathroom and the separate kitchen. The kitchen is equipped with a built-in fridge, dishwasher, gas stove and washing machine connection. The bathroom has a shower, sink and toilet. At the front is the living area with lots of natural light and the bedroom is accessible through a sliding door. The bedroom is located at the back  with large windows overlooking the communal garden. 
On the fourth floor is a private storage room.
A  comfortable apartment in a very popular location!

*Special features:
-Central heating combi boiler 2016
-Wood window frames with double glazing
-Communal courtyard garden
-Healthy active home owners association managed by a professional external party
-National Monument
-Leasehold canon bought off until 1-10-2053
-NEN 2580 measurement report available
-Delivery is possible immediately
 
This non-binding sales information has been compiled with the greatest care by our office on the basis of the information provided to us by the seller. Therefore, we cannot provide any guarantees, nor can we in any way accept any liability for these data. We have had the NEN 2580 measurement report drawn up by an external party and therefore we cannot provide any guarantees or accept any liability for these data.

Features