One of the most costly residential real estate sales on the South Shore in the last week was a $2.3 million home on Staten Island.
Over the course of the last week, 22 residential real estate sales with an average price of $839,699 were reported in the region. In the end, the average cost per square foot was $466.
Even though the property may have sold earlier, the values in the list below relate to real estate sales for which the title was recorded during the week of November 25.
10. $770K, single-family home at 45 Peachtree Lane
The single-family home at 45 Peachtree Lane, Staten Island, which was 1,658 square feet, has been sold. The entire acquisition price was $770,000, or $464 per square foot, and the ownership transfer was finalized in November. The home was constructed in 2010. On November 18, the agreement was concluded.
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9. $800K, single-family residence at 317 Sheldon Ave.
The owners of the property located at 317 Sheldon Ave. have changed. It cost $800,000. The house is 1,120 square feet in size and was constructed in 1930. The cost is $714 per square foot. On November 18, the agreement was concluded.
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8. $869K, single-family house at 109 Sharrott Ave.
The detached home at 109 Sharrott Avenue, which is 1,600 square feet, has been sold. The entire acquisition price was $869,000, or $543 per square foot, and the ownership transfer was finalized in November. In 2000, the house was constructed. On November 18, the agreement was concluded.
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7. $870K, single-family residence at 76 Lorraine Ave.
The owners of the property located at 76 Lorraine Ave. have changed. It cost $870,000. The home is 1,394 square feet in size and was constructed in 2004. It costs $624 per square foot. On November 14, the agreement was completed.
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6. $875K, single-family house at 36 Troy Street
The single-family home located at 36 Troy Street has been sold. The house was purchased for $875,000, and the new owners moved in in November. The home is 960 square feet in size and was constructed in 1950. It cost $911 per square foot. On November 13, the agreement was concluded.
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5. $950K, single-family home at 53 Seidman Ave.
The single-family house located at 53 Seidman Ave has been sold. The house was purchased for $950,000, and the new owners moved in in November. The house has 1,925 square feet of living space and was constructed in 1975. The final cost per square foot was $494. On November 13, the agreement was concluded.
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4. $1.2 million, single-family house at 96 Hanover Ave.
The single-family home located at 96 Hanover Ave. has been sold. The house was purchased for $1,194,500, and the new owners moved in in November. The house is 1,936 square feet in size and was constructed in 2012. It cost $617 per square foot. On November 13, the agreement was concluded.
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3. $1.3 million, single-family residence at 125 Johanna Lane
The single-family home located at 125 Johanna Lane has been sold. The mansion was purchased for $1,312,000, and the new owners moved in in November. The home is 3,140 square feet in size and was constructed in 1985. It cost $418 per square foot. On November 13, the agreement was concluded.
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2. $1.4 million, single-family home at 7 Weaver Street
The single-family home at 7 Weaver Street, Staten Island, which was 4,743 square feet, has been sold. The entire acquisition price was $1,415,000, or $298 per square foot, and the ownership transfer was finalized in November. In 1980, the house was constructed. On November 13, the agreement was concluded.
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1. $2.3 million, single-family house at 18 Jeffrey Place
The owners of the property located at 18 Jeffrey Place have changed. The cost came to $2,300,000. The home is 5,175 square feet in size and was constructed in 1988. The cost is $444 per square foot. On November 13, the agreement was concluded.
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The zip codes 10307, 10308, 10309, and 10312 are included in the South Shore roundup of recently sold residences.
The zip codes 10307, 10308, 10309, and 10312 are included in the South Shore roundup of recently sold residences.
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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