A
house in Kirkland that sold for $650,000 tops the list of most expensive residential real estate sales in Oneida County over the past week. In total, 26 homes were sold with an average price of $251,502 and a price per square foot of $167.
The top 10 sales include:
* $245K: A single-family residence at 8280 State Route 294A in Boonville, built in 1940, features 4 bedrooms and 2 bathrooms. The deal was finalized on July 9.
* $250K: A detached house at 2137 Sinclair Ave. in Whitestown, built in 1935, has a living area of 1,728 square feet and 4 bedrooms and 2 bathrooms. The deal was finalized on July 7.
* $275K: A single-family residence at 38 Dwight Ave. in Kirkland, built in 1900, features 2 bedrooms and 2 bathrooms. The deal was finalized on July 7.
* $285K: A single-family house at 10032 Florence Hill Road in Camden, built in 1970, has a living area of 1,778 square feet and 2 bedrooms and 2 bathrooms. The deal was finalized on July 9.
* $300K: A single-family home at 9386 Sessions Road in New Hartford, built in 1955, features 3 bedrooms and 1 bathroom. The deal was finalized on July 8.
* $320K: A single-family home at 4937 Westmoreland Road in Kirkland, built in 1920, has a living area of 2,136 square feet and 3 bedrooms and 2 bathrooms. The deal was finalized on July 8.
* $385K: A detached house at 15 Indian Mound Drive in Whitestown, built in 1960, features 3 bedrooms and 2 bathrooms. The deal was finalized on July 9.
* $390K: A single-family home at 7159 College Hill Road in Kirkland, built in 1920, has a living area of 2,128 square feet and 4 bedrooms and 2 bathrooms. The deal was finalized on July 8.
* $505K: A single-family residence at 12073 Woodhull Road in Forestport, built in 2010, features 4 bedrooms and 2 bathrooms. The deal was finalized on July 10.
* $650K: A single-family house at 103 Furnace Street in Kirkland, built in 1956, has a living area of 1,363 square feet and 2 bedrooms and 1 bathroom. The deal was finalized on July 9.
Real Estate Newswire is a service provided by United Robots that uses machine learning to generate analysis of data from Attom, an aggregator of national real-estate data.
