Between December 30 and January 5, prospective homebuyers who were thinking about the real estate market had a variety of possibilities in different communities around the region. This page describes recent Cumberland County real estate sales, all of which included residences under $500,000.
The best ten properties in each neighborhood are listed below, selected for their closest proximity to the desired price range and the largest living areas.
Please be aware that even if a property may have sold earlier, the properties listed below are for real estate sales for which the title was recorded during the week of December 30.
1. $476K, 4 bedrooms / 4 bathrooms
The detached home at 386 Pheasant Lane, which sold in December for $476,003 ($211 per square foot), provided another option below the desired price range. Situated on a 1.0-acre lot, this 2006-built home boasts 2,256 square feet of living space, four bedrooms, and four bathrooms. On December 20, the agreement was concluded.
2. $462K, 3 bedrooms / 4 baths
The single-family home at 250 Glendale Street, which was constructed in 1953, sold in December for $462,000 ($232 per square foot). The house has three bedrooms, four bathrooms, and 1,990 square feet of living space. The lot that makes up the property is 17,860 square feet. On December 26, the agreement was concluded.
3. $435K, 4 bedrooms / 3 bathrooms
In December, the ownership of this single-family home with four bedrooms and three bathrooms changed. The 2,240-square-foot house at 937 Eppley Road sold for $435,000, or $194 per square foot. The property was constructed in 1988 and is situated on a 2.0-acre lot. On December 26, the agreement was concluded.
4. $420K, 3 bedrooms / 2 baths
This single-family home with three bedrooms and two baths, located at 533 S. Hanover Street, sold for $420,000 in December, or $201 per square foot. Built in 1863, the property occupies 2,089 square feet and is situated on a 0.5-acre lot. On December 26, the agreement was concluded.
5. $420K, 3 bedrooms / 3 baths
A three-bedroom, three-bathroom single-family home at 202 Fox Drive had a change of ownership in December. Constructed in 1979 and totaling 1,640 square feet, the property sold for $420,000, or $256 per square foot. The lot is 0.3 acres in size. On December 26, the agreement was concluded.
6. $390K, 3 bedrooms / 3 bathrooms
This single-family home, located at 943 Maplewood Lane and built in 2004, sold in December for $389,900, or $241 per square foot. The house has three bedrooms, three bathrooms, and 1,616 square feet of living space. The land is 7,841 square feet in size. On December 23, the agreement was concluded.
7. $385K, 3 bedrooms / 3 bathrooms
This detached home, located at 2115 Chestnut Street and built in 1945, sold in December for $385,000, or $259 per square foot. The house has three bedrooms, three bathrooms, and 1,488 square feet of living space. The land is 9,583 square feet in size. On December 26, the agreement was concluded.
8. $372K, 2 bedrooms / 4 baths
This detached home with two bedrooms and four bathrooms, located at 108 Morefield Way, sold for $372,000 in December, or $186 per square foot. Built in 2018, the home has 2,000 square feet of living space and is situated on a 1,307-square-foot lot. On December 26, the agreement was concluded.
9. $340K, 2 bedrooms / 1 bath
The single-family home at 949 W. Trindle Road, which sold in December for $340,000 ($226 per square foot), provided another option below the desired price range. Situated on a 1.0-acre lot, this 1952-built home boasts 1,502 square feet of living space, two bedrooms, and one bathroom. On December 26, the agreement was concluded.
10. $330K, 3 bedrooms / 3 bathrooms
In December, the ownership of this detached home with three bedrooms and three bathrooms changed. The 1,288-square-foot house at 110 Old Gap Road sold for $329,900, or $256 per square foot. The property was constructed in 1957 and is situated on a 0.7-acre lot. On December 26, the agreement was concluded.
United Robots offers a service called Real Estate Newswire that leverages machine learning to produce analysis of data from Propmix, a national real estate data aggregator.
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