Apartments near UPMC Shadyside, Pittsburgh, PA

Interested in renting an apartment near UPMC Shadyside?

UPMC Shadyside, located in Pittsburgh, is a notable area hospital. Pittsburgh, PA has a population of 303,626. Neighborhoods within the city include Lower Lawrenceville, North Oakland, Friendship, and Squirrel Hill South. Those that are looking to rent nearby, there are plenty of options.

Bedroom count is important - this area has several types of apartments available to select from. Studio, 1-bedroom, 2-bedroom, and 3-bedroom units are available in this area. 1-bedroom apartments are currently the most-readily available rental type near UPMC Shadyside.

Rental rates in the area vary based on different features such as square footage & number of bedrooms. Monthly rental costs for studio apartments is roughly $1,113 . Prices near UPMC Shadyside average near $1,473 while a 2-bedroom apartment averages around $1,760.

A 1-bedroom apartment ranges from 448 to 549 square feet with prices in the range of $922 and $1,095. Studio apartment sizes average around 418 sq feet. 685 sq ft is the usual size for 1-bedroom apartments in the area. Apartments featuring 2 beds tend to be somewhat larger, averaging close to 1,067 sq feet.

Getting around UPMC Shadyside is fairly easy. One can get tasks checked off without the need for a vehicle. The good news is that the area around UPMC Shadyside's transit is good and is convenient for getting around if you don't want to walk. Getting around town should be simple.

There is plenty to do near UPMC Shadyside, whether you like to be inside or out. Like to keep up your health? Try visiting Citiparks Office SPCL Programs. For people who like indoor activities, Orangetheory Fitness is worth the trip. After that, treat yourself to some time off! The best spots in town include Rock Room, New York New York, and William Penn Tavern.

There are various apartments near UPMC Shadyside. With so many amazing options nearby, apartment hunting in Pittsburgh is now easier than ever! Search more efficiently using apartment-specific filtering.