Builder Community Research

Tri Pointe Homes Sienna

From July 23rd, 2024 through January 19th, 2025

Units Sold:

115

Average Sold Price:

$551,495

Average Sold Discount:

9%

Average Price Reduction:

3%

Average DOM:

85

Tri Pointe Homes offers new homes in several communities around Houston, including those with the most active listings. With an average home size of 3,120 sq ft, their properties range from cozy 1,474 sq ft designs to spacious 5,677 sq ft layouts. Prices vary widely, catering to diverse budgets, making it easy for buyers to find their perfect fit.

Active Listings

7

Average List Price

$958,050

Typical List Price

$900k to $1,007k

Homes Listed per Price Range

A visual list price spectrum representation

$850kto$933k$933kto$1.0M$1.0Mto$1.1M
2025323

Sold Listings

5

Average Selling Price

$921,629

Typical Selling Price

$888k to $986k

Homes Sold per Price Range

A visual sold price spectrum representation

$835kto$888k$888kto$941k$941kto$994k
2025213

Average Sold Price per Sq Ft

$196

Typical Sold Price per Sq Ft

$182 to $204

Number of Homes Sold by Sold Price per Square Foot

Breaking down the market by $/SF ranges

$167to$171$171to$175$175to$179
2025114

Average Days to Sell

160

Typical Days to Sell

140 to 204

Days on the Market Distribution

The number of homes sold in each DOM range

58to108108to159159to209
2025114

Average Discount from Original List

8%

Typical Sold Discount from Original List

7% to 8%

Discounts Distribution - From Initial List Price

Number of homes sold from each discount rack

7%to7%7%to8%8%to8%
202533

Average Discount from Last List

8%

Typical Sold Discount from Last List

7% to 8%

Negotiated Disocunts from Final List Price

The percentage difference between final list price and closed price, distributed

7%to8%8%to8%8%to8%
2025312

About Our Data

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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