For prospective homebuyers keeping an eye on the real estate market in Wayne County areas, here is information on properties that sold for $500,000 or less between July 29 and August 4.
Below we give you an overview of the five best properties in each area, selected based on their proximity to the desired price range and the largest living space.
Please note that the properties in the list below are real estate sales with title recorded during the week of July 29th, although the property may have sold earlier.
15839 Crescent Avenue, Allen Park City
1. $500,000
This single-family home changed hands in June. The home, located at 15839 Crescent Ave., is 1,500 square feet and sold for $500,000, or $316 per square foot. The property sits on a 0.3-acre lot and was built in 1953. The deal closed on June 28.
6492 Durham Drive, Canton Twp
2. $495,000
The 1971-built single-family home at 6492 Durham Drive changed hands in June for $495,000 ($281 per square foot). The home has 1,759 square feet of living space and the property includes a 7,405-square-foot lot. The deal closed on June 27.
9621 Hubbard Street, Livonia City
3. $491,000, 3 bedrooms / 3 bathrooms
Built in 1998 at 9621 Hubbard Street, this condo was listed for $491,000 (that’s $211 per square foot) and sold in July. The home has 2,322 square feet of living space, three bedrooms and three baths. The deal closed on July 3.
49555 Hanford Road, Canton Twp
4. $490,000
At $490,000 ($253 per square foot), the single-family home at 49555 Hanford Road offered another below-the-market opportunity when it changed hands in June. Built in 1983, the property offers 1,940 square feet of living space and sits on a 3.1-acre lot. The deal closed on June 27.
5. $485,000
This single-family home at 40497 Bluesprings Court sold in July for $485,000, which works out to $194 per square foot. Built in 1997, the property offers 2,498 square feet of living space and sits on a 10,454-square-foot lot. The deal closed on July 2.
Real Estate Newswire is a service from United Robots that uses machine learning to create analytics on data from Propmix, an aggregator of national real estate data.
