Seabrook Bayside Research, Pricing, and Statistics
Units Sold:
3
Average Sold Price:
$309,933
Average Sold Discount:
4%
Average DOM:
88
Seabrook Bayside offers a diverse selection of homes, with 11 properties currently for sale, ranging from $450,000 to $890,000. The average list price is $670,841, featuring homes between 1,104 and 3,225 sq ft. With spacious lots averaging 10,070 sq ft, this community is perfect for families seeking comfort and style!
Active Listings
11
Average List Price
$670,841
Typical List Price
$563k to $784k
Homes Listed per Price Range
A visual list price spectrum representation
| $450kto$538k | $538kto$626k | $626kto$714k | $714kto$802k | $802kto$890k | |
|---|---|---|---|---|---|
| 2024 | 2 | 2 | 4 | 4 | |
Sold Listings
3
Average Selling Price
$309,933
Typical Selling Price
$40k to $464k
Homes Sold per Price Range
A visual sold price spectrum representation
| $2kto$426k | $426kto$850k | |
|---|---|---|
| 2024 | 2 | 2 |
Average Sold Price per Sq Ft
$306
Typical Sold Price per Sq Ft
$251 to $317
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $1to$164 | $164to$326 | |
|---|---|---|
| 2024 | 1 | 2 |
Average Days to Sell
88
Typical Days to Sell
63 to 116
Days on the Market Distribution
The number of homes sold in each DOM range
| 32to85 | 85to137 | |
|---|---|---|
| 2024 | 1 | 3 |
Average Discount from Original List
4%
Typical Sold Discount from Original List
1% to 6%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| 0%to4% | 4%to8% | |
|---|---|---|
| 2024 | 2 | 2 |
Average Discount from Last List
3%
Typical Sold Discount from Last List
0% to 4%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| 0%to4% | 4%to8% | |
|---|---|---|
| 2024 | 2 | 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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