77064 Research, Pricing, and Statistics
Units Sold:
133
Average Sold Price:
$303,542
Average Sold Discount:
3%
Average Price Reduction:
2%
Average DOM:
57
In the 77064 zip code, there are currently 77 homes for sale, with an average list price of $335,597. Homes typically range from 3 to 4 bedrooms and average 2,213 sq ft in size. With lot sizes averaging 8,072 sq ft, this area offers spacious living options for families.
Active Listings
78
Average List Price
$335,141
Typical List Price
$266k to $379k
Homes Listed per Price Range
A visual list price spectrum representation
| $210kto$263k | $263kto$315k | $315kto$368k | $368kto$421k | $421kto$474k | $474kto$526k | $526kto$579k | $579kto$600k | |
|---|---|---|---|---|---|---|---|---|
| 2024 | 18 | 19 | 19 | 7 | 8 | 4 | 2 | 2 |
Sold Listings
133
Average Selling Price
$303,542
Typical Selling Price
$250k to $356k
Homes Sold per Price Range
A visual sold price spectrum representation
| $103kto$144k | $144kto$186k | $186kto$227k | $227kto$269k | $269kto$310k | $310kto$352k | $352kto$394k | $394kto$435k | $435kto$477k | $477kto$518k | $518kto$535k | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 2 | 4 | 16 | 28 | 37 | 11 | 10 | 12 | 9 | 3 | 2 |
Average Sold Price per Sq Ft
$157
Typical Sold Price per Sq Ft
$140 to $167
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $69to$79 | $79to$90 | $90to$100 | $100to$110 | $110to$121 | $121to$131 | $131to$141 | $141to$152 | $152to$162 | $162to$172 | $172to$183 | $183to$193 | $193to$203 | $203to$214 | $214to$224 | $224to$228 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 1 | 2 | 6 | 2 | 12 | 26 | 24 | 26 | 14 | 5 | 11 | 1 | 1 | 2 | ||
Average Days to Sell
57
Typical Days to Sell
6 to 76
Days on the Market Distribution
The number of homes sold in each DOM range
| to27 | 27to55 | 55to82 | 82to110 | 110to137 | 137to165 | 165to192 | 192to219 | 219to247 | 247to274 | 274to302 | 302to320 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 74 | 16 | 12 | 4 | 6 | 5 | 2 | 9 | 3 | 3 | ||
Average Price Reduction
2%
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.)
| -6%to-5% | -5%to-3% | -3%to-1% | -1%to1% | 1%to2% | 2%to4% | 4%to6% | 6%to8% | 8%to10% | 10%to11% | 11%to13% | 13%to15% | 15%to17% | 17%to18% | 18%to20% | 20%to22% | 22%to24% | 24%to26% | 26%to27% | 27%to29% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 2 | 3 | 198 | 22 | 21 | 14 | 15 | 8 | 7 | 2 | 1 | 2 | 1 | 1 | 2 | |||||
Average Discount from Original List
3%
Typical Sold Discount from Original List
0% to 6%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -10%to-8% | -8%to-5% | -5%to-3% | -3%to-1% | -1%to2% | 2%to4% | 4%to6% | 6%to9% | 9%to11% | 11%to14% | 14%to16% | 16%to18% | 18%to21% | 21%to23% | 23%to26% | 26%to28% | 28%to30% | 30%to33% | 33%to34% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 3 | 2 | 2 | 9 | 58 | 14 | 15 | 10 | 10 | 5 | 1 | 2 | 1 | 2 | |||||
Average Discount from Last List
2%
Typical Sold Discount from Last List
0% to 4%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| -10%to-9% | -9%to-7% | -7%to-6% | -6%to-4% | -4%to-3% | -3%to-1% | -1%to0% | 0%to2% | 2%to3% | 3%to5% | 5%to6% | 6%to8% | 8%to9% | 9%to11% | 11%to12% | 12%to14% | 14%to15% | 15%to17% | 17%to18% | 18%to20% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 1 | 1 | 1 | 3 | 8 | 47 | 21 | 17 | 14 | 5 | 6 | 5 | 1 | 2 | 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.