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rospective homebuyers had a range of options in Ottawa County neighborhoods between September 30th and October 6th. This article highlights recent property sales under $500,000, featuring homes with the largest living spaces.
Below is an overview of the top five properties in each area, chosen for their proximity to the desired price range and spacious living areas. Please note that the listed properties were sold during the week of September 30th, even if they may have been sold earlier.
1. $500K, 1,740 sqft
A detached house at 17097 Spahr Road was sold in September for $500,000 ($287 per square foot). The home features a 16,640-square-foot lot and spans 1,740 square feet of living area. The deal was finalized on September 20th.
2. $480K, 3 bedrooms / 3 bathrooms
The single-family house at 2494 Spring Dew Court offered an option at $480,000 ($316 per square foot). This property features 1,520 square feet of living space with three bedrooms and three bathrooms, built in 2024. The deal was finalized on September 26th.
3. $479K, 3 bedrooms / 2 baths
At $479,000 ($334 per square foot), the detached house at 9345 Windward Drive provided another opportunity below the targeted price range when it changed hands in September. This property features three bedrooms and two bathrooms, built in 2007, on a 13,286-square-foot lot. The deal was finalized on September 27th.
4. $475K, 4 bedrooms / 3 baths
A detached house with four bedrooms and three bathrooms at 12540 Manchester Drive changed ownership in September for $474,900 ($212 per square foot). The property covers 2,240 square feet and sits on a 10,498-square-foot lot. The deal was finalized on September 26th.
5. $475K, 4 bedrooms / 4 bathrooms
For $474,900 ($212 per square foot), the single-family house at 1336 Innisbrook Court changed hands in September. This property features four bedrooms and four bathrooms, built in 1994, spanning 2,235 square feet of living area on a 14,810-square-foot lot. The deal was finalized on September 23rd.
Real Estate Newswire is provided by United Robots, using machine learning to generate analysis from Propmix, an aggregator of national real-estate data.
