For prospective homebuyers keeping an eye on the real estate market in Wayne County areas, here’s what sold for $500,000 or less between August 5-11.
Here’s a breakdown of the top five properties in each area, selected based on their proximity to the price range you want and the most spacious living spaces available.
Please note that the properties in the list below are property sales with titles recorded during the week of August 5th, although the property may have sold earlier.
17134 Ellen Drive, Livonia City
1. $500,000
Built in 1989, this single-family home at 17134 Ellen Drive was listed for $500,000 (that’s $178 per square foot) and sold in July. The home has 2,805 square feet of living space. The property includes a 15,246 square foot lot. The deal closed on July 12.
19805 Edshire Lane, Grosse Pointe Woods City
2. $495,000, 3 bedrooms / 3 bathrooms
The single-family home at 19805 Edshire Lane was optioned for $495,000 (that’s $239 per square foot). The property has 2,073 square feet of living space, three bedrooms and three bathrooms and was built in 1962. The lot spans 7,841 square feet. The deal closed on July 18.
47436 Saltz Road, Canton Twp
3. $485,000
In July, a single-family home at 47436 Saltz Road changed hands. The 2,300-square-foot property was built in 2002 and sold for $485,000, which works out to $201 per square foot. The lot size is 0.3 acres. The deal closed on July 11.
45951 Hanford Road, Canton Twp
4. $485,000
This single-family home at 45951 Hanford Road sold in July for $485,000, which works out to $223 per square foot. Built in 1989, the property offers 2,176 square feet of living space and sits on a 9,148-square-foot lot. The deal closed on July 17.
6621 Old Haggerty Road, Canton Twp
5. $485,000
This single-family home changed hands in July. The home at 6621 Old Haggerty Road is 2,120 square feet and sold for $485,000, or $229 per square foot. The property sits on a 0.3-acre lot and was built in 1995. The deal closed on July 18.
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.
