Kingwood-Atascocita Research, Pricing, and Statistics
Units Sold:
70
Average Sold Price:
$263,255
Average Sold Discount:
4%
Average Price Reduction:
1%
Average DOM:
138
The Kingwood-Atascocita market offers a diverse range of homes, with 97 listings averaging $404,025. Properties range from cozy 3-bedroom homes to spacious 4-bedroom options, with sizes between 575 and 7,769 sq ft. Whether you're buying or selling, this vibrant community has something for everyone!
Active Listings
85
Average List Price
$404,540
Typical List Price
$260k to $569k
Homes Listed per Price Range
A visual list price spectrum representation
| $150kto$291k | $291kto$431k | $431kto$572k | $572kto$712k | $712kto$853k | $853kto$994k | $994kto$1.1M | $1.1Mto$1.2M | |
|---|---|---|---|---|---|---|---|---|
| 2025 | 42 | 18 | 4 | 13 | 3 | 2 | 2 | 2 |
Sold Listings
70
Average Selling Price
$263,255
Typical Selling Price
$91k to $294k
Homes Sold per Price Range
A visual sold price spectrum representation
| $1kto$100k | $100kto$198k | $198kto$297k | $297kto$395k | $395kto$493k | $493kto$592k | $592kto$690k | $690kto$788k | $788kto$885k | |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 19 | 6 | 29 | 1 | 3 | 4 | 5 | 1 | 3 |
Average Sold Price per Sq Ft
$194
Typical Sold Price per Sq Ft
$149 to $195
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $1to$41 | $41to$81 | $81to$122 | $122to$162 | $162to$202 | $202to$242 | $242to$282 | $282to$323 | $323to$348 | |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 11 | 5 | 17 | 14 | 8 | 2 | 3 | ||
Average Days to Sell
138
Typical Days to Sell
28 to 175
Days on the Market Distribution
The number of homes sold in each DOM range
| to92 | 92to183 | 183to275 | 275to367 | 367to458 | 458to550 | 550to642 | 642to733 | 733to825 | 825to917 | 917to1,008 | 1,008to1,100 | 1,100to1,191 | 1,191to1,283 | 1,283to1,375 | 1,375to1,466 | 1,466to1,558 | 1,558to1,650 | 1,650to1,741 | 1,741to1,833 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 39 | 15 | 9 | 1 | 3 | 2 | 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.)
| -16%to-14% | -14%to-12% | -12%to-11% | -11%to-9% | -9%to-7% | -7%to-6% | -6%to-4% | -4%to-2% | -2%to-1% | -1%to1% | 1%to3% | 3%to4% | 4%to6% | 6%to8% | 8%to10% | 10%to11% | 11%to13% | 13%to15% | 15%to16% | 16%to18% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 1 | 1 | 83 | 8 | 9 | 6 | 5 | 2 | 1 | 1 | 2 | |||||||||
Average Discount from Original List
4%
Typical Sold Discount from Original List
0% to 8%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -42%to-38% | -38%to-34% | -34%to-30% | -30%to-26% | -26%to-22% | -22%to-18% | -18%to-14% | -14%to-10% | -10%to-6% | -6%to-2% | -2%to2% | 2%to6% | 6%to10% | 10%to14% | 14%to18% | 18%to22% | 22%to26% | 26%to30% | 30%to34% | 34%to37% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 1 | 1 | 1 | 2 | 31 | 13 | 7 | 3 | 5 | 1 | 1 | 3 | 2 | |||||||
Average Discount from Last List
1%
Typical Sold Discount from Last List
0% to 5%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| -42%to-39% | -39%to-35% | -35%to-32% | -32%to-28% | -28%to-25% | -25%to-21% | -21%to-18% | -18%to-14% | -14%to-11% | -11%to-7% | -7%to-4% | -4%to0% | 0%to3% | 3%to7% | 7%to10% | 10%to14% | 14%to17% | 17%to21% | 21%to24% | 24%to28% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 1 | 1 | 1 | 1 | 7 | 38 | 11 | 4 | 3 | 1 | 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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