Park at Glen Arbor Research, Pricing, and Statistics
Units Sold:
4
Average Sold Price:
$280,100
Average Sold Discount:
6%
Average DOM:
32
The Park at Glen Arbor community currently has one home for sale, listed at $455,000. This spacious property features 2,686 sq ft of living space, a generous 8,233 sq ft lot, and includes four bedrooms. With an average market time of 129 days, it’s a great opportunity for buyers looking for a well-sized home in a desirable area.
Sold Listings
4
Average Selling Price
$280,100
Typical Selling Price
$205k to $404k
Homes Sold per Price Range
A visual sold price spectrum representation
| $2kto$231k | $231kto$460k | |
|---|---|---|
| 2024 | 1 | 4 |
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$82 | $82to$163 | |
|---|---|---|
| 2024 | 1 | 4 |
Average Days to Sell
32
Typical Days to Sell
8 to 34
Days on the Market Distribution
The number of homes sold in each DOM range
| 6to54 | 54to101 | |
|---|---|---|
| 2024 | 3 | 2 |
Average Discount from Original List
6%
Typical Sold Discount from Original List
1% to 10%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| 0%to7% | 7%to14% | |
|---|---|---|
| 2024 | 2 | 3 |
Average Discount from Last List
4%
Typical Sold Discount from Last List
1% to 8%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| 0%to4% | 4%to9% | |
|---|---|---|
| 2024 | 2 | 3 |
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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