Ashford South Research, Pricing, and Statistics
Units Sold:
2
Average Sold Price:
$284,000
Average Sold Discount:
0%
Average DOM:
4
Ashford South offers a diverse range of homes with 11 properties currently for sale. The average list price is $234,718, with sizes ranging from 644 to 2,138 sq ft. Lot sizes vary significantly, averaging 42,039 sq ft. Whether you’re buying or selling, this community presents great opportunities!
Active Listings
12
Average List Price
$265,408
Typical List Price
$124k to $368k
Homes Listed per Price Range
A visual list price spectrum representation
| $115kto$176k | $176kto$237k | $237kto$298k | $298kto$359k | $359kto$420k | |
|---|---|---|---|---|---|
| 2025 | 5 | 2 | 6 | ||
Sold Listings
2
Average Selling Price
$284,000
Typical Selling Price
$260k to $308k
Homes Sold per Price Range
A visual sold price spectrum representation
| $236kto$284k | $284kto$332k | |
|---|---|---|
| 2025 | 1 | 2 |
Average Sold Price per Sq Ft
$186
Typical Sold Price per Sq Ft
$180 to $203
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $143to$163 | $163to$183 | |
|---|---|---|
| 2025 | 1 | 2 |
Average Days to Sell
4
Typical Days to Sell
4 to 5
Days on the Market Distribution
The number of homes sold in each DOM range
| 3to4 | 4to5 | |
|---|---|---|
| 2025 | 1 | 2 |
Average Discount from Original List
0%
Typical Sold Discount from Original List
-2% to 3%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -5%to0% | 0%to5% | |
|---|---|---|
| 2025 | 1 | 2 |
Average Discount from Last List
0%
Typical Sold Discount from Last List
-2% to 3%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| -5%to0% | 0%to5% | |
|---|---|---|
| 2025 | 1 | 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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