Simonton Research, Pricing, and Statistics
Units Sold:
4
Average Sold Price:
$616,250
Average Sold Discount:
6%
Average DOM:
199
Simonton offers a diverse real estate market with 15 homes for sale, featuring an average list price of $729,900. Homes range from 1,056 to 4,055 sq ft, with lot sizes averaging 71,595 sq ft. This area is perfect for those seeking spacious living, with properties built between 2001 and 2016.
Active Listings
16
Average List Price
$718,594
Typical List Price
$399k to $687k
Homes Listed per Price Range
A visual list price spectrum representation
| $375kto$625k | $625kto$875k | $875kto$1.1M | $1.1Mto$1.4M | $1.4Mto$1.6M | $1.6Mto$1.9M | |
|---|---|---|---|---|---|---|
| 2024 | 9 | 4 | 1 | 3 | ||
Sold Listings
4
Average Selling Price
$616,250
Typical Selling Price
$335k to $706k
Homes Sold per Price Range
A visual sold price spectrum representation
| $215kto$808k | $808kto$1.4M | |
|---|---|---|
| 2024 | 3 | 2 |
Average Sold Price per Sq Ft
$297
Typical Sold Price per Sq Ft
$193 to $298
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $98to$347 | $347to$595 | |
|---|---|---|
| 2024 | 3 | 2 |
Average Days to Sell
199
Typical Days to Sell
7 to 316
Days on the Market Distribution
The number of homes sold in each DOM range
| 5to274 | 274to543 | |
|---|---|---|
| 2024 | 3 | 2 |
Average Discount from Original List
6%
Typical Sold Discount from Original List
0% to 6%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| 0%to12% | 12%to23% | |
|---|---|---|
| 2024 | 3 | 2 |
Average Discount from Last List
6%
Typical Sold Discount from Last List
0% to 6%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| 0%to12% | 12%to23% | |
|---|---|---|
| 2024 | 3 | 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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