Amesbury Park Research, Pricing, and Statistics
Units Sold:
2
Average Sold Price:
$532,500
Average Sold Discount:
18%
Average DOM:
101
Amesbury Park offers a unique opportunity for homebuyers, with two homes currently for sale. The average list price is $537,500 for spacious 4-bedroom homes, each boasting 4,317 sq ft and generous lot sizes of 14,591 sq ft. Homes here typically spend 73 to 86 days on the market, making it a great time to explore your options!
Sold Listings
2
Average Selling Price
$532,500
Typical Selling Price
$524k to $541k
Homes Sold per Price Range
A visual sold price spectrum representation
$515kto$533k | $533kto$550k | |
---|---|---|
2024 | 1 | 2 |
Average Sold Price per Sq Ft
Typical Sold Price per Sq Ft
to
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
$129to$133 | $133to$138 | |
---|---|---|
2024 | 1 | 2 |
Average Days to Sell
101
Typical Days to Sell
64 to 138
Days on the Market Distribution
The number of homes sold in each DOM range
27to101 | 101to175 | |
---|---|---|
2024 | 1 | 2 |
Average Discount from Original List
18%
Typical Sold Discount from Original List
14% to 21%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
10%to18% | 18%to25% | |
---|---|---|
2024 | 1 | 2 |
Average Discount from Last List
6%
Typical Sold Discount from Last List
4% to 8%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
2%to6% | 6%to11% | |
---|---|---|
2024 | 1 | 2 |
All analysis, rankings, ratings, and throughout this site are generated by us here at Icon Real Estate. All raw data comes from the Houston Association of Realtors (HAR, HRIS) – but you're not viewing raw data. We track, categorize, analyze, and rank everything from zip codes to school zones based on geographic (boundary) data that is either (a) provided by local jurisdictions, (b) purchased from third-party sources, or (c) hand-drawn by our team.
Builder statistics rely heavily on our local knowledge and familiarity with the marketing (listing) practices of major local builders. It's not an exact science, but we're pretty accurate in assigning listings to the correct builder. We leverage a bit of AI in that process as well.
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