Bayport Research, Pricing, and Statistics
Units Sold:
6
Average Sold Price:
$237,900
Average Sold Discount:
16%
Average DOM:
142
Bayport offers a unique opportunity for homebuyers, with one active listing priced at $599,990. This spacious 3,704 sq ft home, built in 2018, features a generous 15,600 sq ft lot and 4 bedrooms. With an average list price of $629,990, it's a great time to explore this vibrant community!
Sold Listings
6
Average Selling Price
$237,900
Typical Selling Price
$104k to $300k
Homes Sold per Price Range
A visual sold price spectrum representation
| $2kto$195k | $195kto$387k | $387kto$580k | |
|---|---|---|---|
| 2025 | 2 | 3 | 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
| $1to$83 | $83to$166 | $166to$248 | |
|---|---|---|---|
| 2025 | 1 | 2 | 3 |
Average Days to Sell
142
Typical Days to Sell
66 to 144
Days on the Market Distribution
The number of homes sold in each DOM range
| 43to162 | 162to280 | 280to399 | |
|---|---|---|---|
| 2025 | 5 | 2 | |
Average Discount from Original List
16%
Typical Sold Discount from Original List
5% to 29%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -3%to10% | 10%to22% | 22%to34% | |
|---|---|---|---|
| 2025 | 2 | 2 | 3 |
Average Discount from Last List
10%
Typical Sold Discount from Last List
3% to 11%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| 0%to12% | 12%to23% | 23%to34% | |
|---|---|---|---|
| 2025 | 5 | 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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