Woodland Terrace Research, Pricing, and Statistics
Units Sold:
8
Average Sold Price:
$627,575
Average Sold Discount:
1%
Average DOM:
88
Woodland Terrace offers a diverse selection of homes, with prices ranging from $475,000 to $2,250,000. The average list price is $1,509,929, featuring homes sized between 1,176 and 5,700 sq ft. With an average lot size of 5,470 sq ft and a variety of bedrooms, it's an appealing community for buyers and sellers alike.
Active Listings
7
Average List Price
$1,509,929
Typical List Price
$1,124k to $1,999k
Homes Listed per Price Range
A visual list price spectrum representation
$475kto$1.1M | $1.1Mto$1.7M | $1.7Mto$2.3M | |
---|---|---|---|
2024 | 2 | 2 | 4 |
Sold Listings
8
Average Selling Price
$627,575
Typical Selling Price
$8k to $1,009k
Homes Sold per Price Range
A visual sold price spectrum representation
$1kto$593k | $593kto$1.2M | $1.2Mto$1.8M | |
---|---|---|---|
2024 | 4 | 3 | 2 |
Average Sold Price per Sq Ft
$423
Typical Sold Price per Sq Ft
$396 to $454
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
$2to$133 | $133to$264 | $264to$395 | |
---|---|---|---|
2024 | 3 | 6 |
Average Days to Sell
88
Typical Days to Sell
13 to 94
Days on the Market Distribution
The number of homes sold in each DOM range
3to116 | 116to229 | 229to342 | |
---|---|---|---|
2024 | 6 | 3 |
Average Discount from Original List
1%
Typical Sold Discount from Original List
-1% to 3%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
-5%to0% | 0%to6% | 6%to11% | |
---|---|---|---|
2024 | 4 | 3 | 2 |
Average Discount from Last List
1%
Typical Sold Discount from Last List
-1% to 3%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
-5%to-1% | -1%to3% | 3%to7% | |
---|---|---|---|
2024 | 2 | 4 | 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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