YEVHENA CHYKALENKA ST., 12

Cozy 2-room apartment in Pre-Revolutionary building on the premium Yevhena Chykalenka Street, 12 with historical centre location for sale for $145,000.

Building Type Icon gold
Building type:

Pre-Revolutionary

Sq meters icon
Size:

50 Sq. meters

floors icon
Floor:

2/4

brand icon
Cost:

$ 145 000

Apartment gallery
Furniture plan
Apartment description

Located in the very heart of Kyiv’s historical centre, this elegant 2-bedroom apartment sits on the iconic Yevhena Chykalenka Street (formerly Pushkinska), just 200 metres from Teatralna metro station. This prestigious address places you within walking distance of Bessarabka Square, TSUM, and the main cultural landmarks of Kyiv.

The apartment is set within a charming pre-revolutionary building dating back to 1917, offering authentic architectural heritage combined with central urban living. The building features a limited number of residences, ensuring privacy, quiet surroundings, and a secure, closed courtyard with parking for residents.

The interior offers 50 m² of well-balanced space, including a kitchen-studio and two separate rooms with 3.2-metre ceilings, creating a strong sense of volume and natural light. The apartment is fully furnished and equipped, ready for immediate move-in or rental investment.

A rare opportunity in Kyiv real estate for sale, combining historical architecture, premium location, and strong long-term investment potential in one of the city’s most desirable districts.

Key details:

  • 2-room apartment with total area 50 m² (31 m² living / 10 m² kitchen);
  • Located on the 2nd floor of a 4-storey pre-revolutionary brick building built in 1917;
  • Ceiling height 3.2 m, enhancing space and natural light;
  • Kitchen-studio layout with fully furnished interior and appliances;
  • Centralised hot water, gas supply, and gas stove installed;
  • Closed courtyard with resident parking in a quiet historical street;
  • 200 m from Teatralna metro station, near Bessarabka, TSUM, and Shevchenko Park.

    click fraud detection