77059 Research, Pricing, and Statistics
Units Sold:
99
Average Sold Price:
$518,007
Average Sold Discount:
2%
Average Price Reduction:
1%
Average DOM:
31
In the 77059 zip code, homebuyers can explore a diverse market with 89 active listings, featuring average prices around $545,365. Homes range from 1,680 to 6,566 sq ft, with lot sizes averaging 10,037 sq ft. Properties typically have 4 to 5 bedrooms and spend about 27 to 83 days on the market.
Active Listings
89
Average List Price
$545,365
Typical List Price
$400k to $649k
Homes Listed per Price Range
A visual list price spectrum representation
| $278kto$390k | $390kto$501k | $501kto$613k | $613kto$724k | $724kto$836k | $836kto$947k | $947kto$1.1M | $1.1Mto$1.2M | $1.2Mto$1.3M | $1.3Mto$1.4M | $1.4Mto$1.5M | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 20 | 24 | 16 | 19 | 3 | 2 | 2 | 1 | 1 | 2 | |
Sold Listings
99
Average Selling Price
$518,007
Typical Selling Price
$391k to $623k
Homes Sold per Price Range
A visual sold price spectrum representation
| $247kto$347k | $347kto$447k | $447kto$547k | $547kto$647k | $647kto$748k | $748kto$848k | $848kto$948k | $948kto$1.0M | $1.0Mto$1.1M | $1.1Mto$1.2M | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 15 | 31 | 17 | 16 | 10 | 3 | 2 | 2 | 1 | 3 |
Average Sold Price per Sq Ft
$165
Typical Sold Price per Sq Ft
$149 to $169
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $118to$134 | $134to$149 | $149to$165 | $165to$181 | $181to$197 | $197to$212 | $212to$228 | $228to$243 | |
|---|---|---|---|---|---|---|---|---|
| 2024 | 2 | 22 | 30 | 15 | 13 | 4 | 10 | 4 |
Average Days to Sell
31
Typical Days to Sell
5 to 32
Days on the Market Distribution
The number of homes sold in each DOM range
| to12 | 12to24 | 24to37 | 37to49 | 49to61 | 61to73 | 73to85 | 85to98 | 98to110 | 110to122 | 122to134 | 134to146 | 146to159 | 159to171 | 171to183 | 183to195 | 195to207 | 207to220 | 220to232 | 232to244 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 55 | 15 | 7 | 5 | 4 | 1 | 1 | 3 | 1 | 3 | 1 | 1 | 3 | |||||||
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.)
| -21%to-20% | -20%to-18% | -18%to-16% | -16%to-14% | -14%to-13% | -13%to-11% | -11%to-9% | -9%to-8% | -8%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% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 1 | 1 | 161 | 23 | 15 | 14 | 6 | 2 | 1 | 3 | ||||||||||
Average Discount from Original List
2%
Typical Sold Discount from Original List
0% to 3%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -7%to-6% | -6%to-4% | -4%to-3% | -3%to-2% | -2%to0% | 0%to1% | 1%to2% | 2%to4% | 4%to5% | 5%to6% | 6%to8% | 8%to9% | 9%to10% | 10%to12% | 12%to13% | 13%to14% | 14%to16% | 16%to17% | 17%to18% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 2 | 2 | 3 | 5 | 12 | 22 | 18 | 13 | 5 | 5 | 5 | 2 | 1 | 2 | 1 | 2 | |||
Average Discount from Last List
1%
Typical Sold Discount from Last List
0% to 2%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| -7%to-6% | -6%to-5% | -5%to-4% | -4%to-3% | -3%to-2% | -2%to-1% | -1%to0% | 0%to0% | 0%to1% | 1%to2% | 2%to3% | 3%to4% | 4%to5% | 5%to6% | 6%to7% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 1 | 1 | 3 | 2 | 3 | 3 | 10 | 28 | 12 | 14 | 8 | 4 | 4 | 4 | 3 |
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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