Adelaide Research, Pricing, and Statistics
Units Sold:
17
Average Sold Price:
$49,641
Average Price Reduction:
1%
Average DOM:
11
In the Adelaide community, there are currently 9 homes for sale, with an average list price of $296,653. Homes range from 1,750 to 2,213 sq ft and feature 3 to 4 bedrooms. With lot sizes averaging 3,469 sq ft, buyers can expect a variety of options to suit their needs.
Active Listings
6
Average List Price
$286,663
Typical List Price
$276k to $292k
Homes Listed per Price Range
A visual list price spectrum representation
| $275kto$287k | $287kto$298k | $298kto$310k | |
|---|---|---|---|
| 2025 | 4 | 1 | 2 |
Sold Listings
17
Average Selling Price
$49,641
Typical Selling Price
$2k to $2k
Homes Sold per Price Range
A visual sold price spectrum representation
| $2kto$49k | $49kto$96k | $96kto$143k | $143kto$191k | $191kto$238k | $238kto$285k | |
|---|---|---|---|---|---|---|
| 2025 | 14 | 4 | ||||
Average Sold Price per Sq Ft
$155
Typical Sold Price per Sq Ft
$153 to $160
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $1to$26 | $26to$52 | $52to$77 | $77to$103 | $103to$128 | $128to$153 | |
|---|---|---|---|---|---|---|
| 2025 | 14 | 4 | ||||
Average Days to Sell
11
Typical Days to Sell
4 to 7
Days on the Market Distribution
The number of homes sold in each DOM range
| 1to14 | 14to28 | 28to41 | 41to54 | 54to68 | 68to81 | |
|---|---|---|---|---|---|---|
| 2025 | 15 | 1 | 2 | |||
Average Price Reduction
1%
Typical Price Reduction
0% to 2%
Price Reduction Distribution
Shows the number of homes within each price reduction bracket. If you were clothes shopping, this would be like counting how many shirts were on each of the various clearance racks (5%, 10%, etc.)
| -1%to1% | 1%to3% | 3%to6% | 6%to8% | 8%to10% | |
|---|---|---|---|---|---|
| 2025 | 9 | 4 | 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.
It's all good stuff, and we're pretty confident you'll find it useful. But just FYI - no warranties or guarantees. Let us know if you're looking for something you don't see here.