Sealy ISD Research, Pricing, and Statistics
Units Sold:
37
Average Sold Price:
$474,883
Average Sold Discount:
7%
Average Price Reduction:
4%
Average DOM:
133
The Sealy school district offers a diverse range of homes, with 86 properties currently for sale, averaging $501,264. Home sizes vary from 1,024 to 8,000 sq ft, and lot sizes range from 4,550 to over 1 million sq ft. With active builders like DR Horton and K Hovnanian Homes, there are plenty of options for buyers!
Active Listings
97
Average List Price
$485,974
Typical List Price
$299k to $499k
Homes Listed per Price Range
A visual list price spectrum representation
| $150kto$288k | $288kto$425k | $425kto$563k | $563kto$700k | $700kto$838k | $838kto$975k | $975kto$1.1M | $1.1Mto$1.3M | $1.3Mto$1.4M | $1.4Mto$1.5M | $1.5Mto$1.7M | $1.7Mto$1.8M | $1.8Mto$1.9M | $1.9Mto$2.1M | $2.1Mto$2.2M | $2.2Mto$2.4M | $2.4Mto$2.5M | $2.5Mto$2.6M | $2.6Mto$2.8M | $2.8Mto$2.9M | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 21 | 31 | 27 | 8 | 1 | 2 | 4 | 1 | 1 | 2 | ||||||||||
Sold Listings
37
Average Selling Price
$474,883
Typical Selling Price
$175k to $410k
Homes Sold per Price Range
A visual sold price spectrum representation
| $70kto$266k | $266kto$463k | $463kto$659k | $659kto$856k | $856kto$1.1M | $1.1Mto$1.2M | $1.2Mto$1.4M | $1.4Mto$1.6M | $1.6Mto$1.8M | $1.8Mto$2.0M | $2.0Mto$2.2M | $2.2Mto$2.4M | $2.4Mto$2.6M | $2.6Mto$2.8M | $2.8Mto$3.0M | $3.0Mto$3.2M | $3.2Mto$3.4M | $3.4Mto$3.6M | $3.6Mto$3.8M | $3.8Mto$4.0M | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 14 | 15 | 3 | 2 | 1 | 1 | 2 | |||||||||||||
Average Sold Price per Sq Ft
$200
Typical Sold Price per Sq Ft
$155 to $225
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $103to$157 | $157to$210 | $210to$263 | $263to$316 | $316to$369 | $369to$422 | |
|---|---|---|---|---|---|---|
| 2025 | 6 | 8 | 4 | 1 | 2 | |
Average Days to Sell
133
Typical Days to Sell
25 to 165
Days on the Market Distribution
The number of homes sold in each DOM range
| 1to85 | 85to169 | 169to253 | 253to337 | 337to421 | 421to505 | 505to589 | 589to673 | 673to757 | 757to801 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 15 | 13 | 5 | 2 | 1 | 2 | ||||
Average Price Reduction
4%
Typical Price Reduction
0% to 7%
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.)
| -9%to-7% | -7%to-4% | -4%to-2% | -2%to1% | 1%to3% | 3%to6% | 6%to9% | 9%to11% | 11%to14% | 14%to16% | 16%to18% | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 1 | 2 | 57 | 23 | 18 | 16 | 12 | 7 | 3 | 3 | |
Average Discount from Original List
7%
Typical Sold Discount from Original List
1% to 9%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -1%to4% | 4%to8% | 8%to13% | 13%to18% | 18%to22% | 22%to27% | 27%to32% | 32%to37% | 37%to41% | 41%to44% | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 15 | 12 | 2 | 5 | 1 | 1 | 2 | |||
Average Discount from Last List
5%
Typical Sold Discount from Last List
0% to 8%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| -4%to0% | 0%to5% | 5%to9% | 9%to14% | 14%to18% | 18%to23% | 23%to27% | 27%to32% | 32%to36% | 36%to40% | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 12 | 12 | 7 | 2 | 2 | 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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