In-depth Real Estate Data: Communities

Silverleaf Research, Pricing, and Statistics

From May 12th, 2024 through November 8th, 2024

Units Sold:

7

Average Sold Price:

$110,933

Average Sold Discount:

3%

Average DOM:

65

The Silverleaf community offers a variety of homes for sale, with 15 listings currently available. The average list price is $304,289, with homes ranging from 1,774 to 2,590 sq ft and lot sizes from 3,538 to 6,068 sq ft. Most homes feature 4 bedrooms and are newly built between 2023 and 2024, making it an attractive option for buyers.

Active Listings

15

Average List Price

$304,289

Typical List Price

$300k to $320k

Homes Listed per Price Range

A visual list price spectrum representation

$245kto$263k$263kto$281k$281kto$299k$299kto$317k$317kto$335k
202411176

Sold Listings

7

Average Selling Price

$110,933

Typical Selling Price

$2k to $235k

Homes Sold per Price Range

A visual sold price spectrum representation

$2kto$101k$101kto$200k$200kto$299k
202444

Average Sold Price per Sq Ft

$155

Typical Sold Price per Sq Ft

$150 to $171

Number of Homes Sold by Sold Price per Square Foot

Breaking down the market by $/SF ranges

$1to$57$57to$113$113to$169
202444

Average Days to Sell

65

Typical Days to Sell

10 to 76

Days on the Market Distribution

The number of homes sold in each DOM range

to7777to153153to230
2024512

Average Discount from Original List

3%

Typical Sold Discount from Original List

1% to 4%

Discounts Distribution - From Initial List Price

Number of homes sold from each discount rack

0%to2%2%to4%4%to6%
2024314

Average Discount from Last List

0%

Typical Sold Discount from Last List

0% to 1%

Negotiated Disocunts from Final List Price

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

-5%to-2%-2%to1%1%to3%
2024143

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.

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.