Treviso Gardens Research, Pricing, and Statistics
Units Sold:
30
Average Sold Price:
$41,886
Average DOM:
47
Treviso Gardens currently has one active listing from Long Lake, featuring a brand-new home priced at $469,990. This spacious property offers 2,719 sq ft with four bedrooms, making it an ideal choice for families. With a modern build from 2023, it's a great opportunity for buyers looking to settle in this vibrant community.
Sold Listings
30
Average Selling Price
$41,886
Typical Selling Price
$2k to $2k
Homes Sold per Price Range
A visual sold price spectrum representation
$2kto$25k | $25kto$47k | $47kto$70k | $70kto$93k | $93kto$115k | $115kto$138k | $138kto$161k | $161kto$183k | $183kto$206k | $206kto$229k | $229kto$252k | $252kto$274k | $274kto$297k | $297kto$320k | $320kto$342k | $342kto$365k | $365kto$388k | $388kto$411k | $411kto$433k | $433kto$456k | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | 27 | 1 | 1 | 2 |
Average Sold Price per Sq Ft
Typical Sold Price per Sq Ft
to
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
$1to$10 | $10to$19 | $19to$27 | $27to$36 | $36to$45 | $45to$53 | $53to$62 | $62to$71 | $71to$80 | $80to$88 | $88to$97 | $97to$106 | $106to$115 | $115to$123 | $123to$132 | $132to$141 | $141to$150 | $150to$158 | $158to$167 | $167to$176 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | 27 | 2 | 2 |
Average Days to Sell
47
Typical Days to Sell
15 to 46
Days on the Market Distribution
The number of homes sold in each DOM range
4to24 | 24to44 | 44to63 | 63to83 | 83to103 | 103to123 | 123to143 | 143to162 | 162to182 | 182to202 | 202to222 | 222to242 | 242to261 | 261to268 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | 14 | 8 | 2 | 1 | 1 | 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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