In-depth Real Estate Data: Communities

Sunnyside Place Research, Pricing, and Statistics

From October 4th, 2024 through April 2nd, 2025

Units Sold:

16

Average Sold Price:

$281,046

Average Sold Discount:

10%

Average DOM:

75

Active Listings

34

Average List Price

$597,266

Typical List Price

$181k to $441k

Homes Listed per Price Range

A visual list price spectrum representation

$89kto$585k$585kto$1.1M$1.1Mto$1.6M$1.6Mto$2.1M$2.1Mto$2.6M$2.6Mto$3.1M$3.1Mto$3.6M$3.6Mto$4.1M$4.1Mto$4.5M$4.5Mto$5.0M$5.0Mto$5.5M$5.5Mto$6.0M$6.0Mto$6.5M$6.5Mto$7.0M$7.0Mto$7.5M$7.5Mto$8.0M$8.0Mto$8.5M$8.5Mto$9.0M$9.0Mto$9.5M$9.5Mto$10.0M
20253032

Sold Listings

16

Average Selling Price

$281,046

Typical Selling Price

$174k to $397k

Homes Sold per Price Range

A visual sold price spectrum representation

$91kto$155k$155kto$219k$219kto$283k$283kto$347k$347kto$411k$411kto$475k
2025422234

Average Sold Price per Sq Ft

$225

Typical Sold Price per Sq Ft

$140 to $180

Number of Homes Sold by Sold Price per Square Foot

Breaking down the market by $/SF ranges

$125to$143$143to$160$160to$177$177to$195$195to$212
202532124

Average Days to Sell

75

Typical Days to Sell

9 to 113

Days on the Market Distribution

The number of homes sold in each DOM range

to6363to125125to188188to251251to313313to376
2025111212

Average Discount from Original List

10%

Typical Sold Discount from Original List

0% to 14%

Discounts Distribution - From Initial List Price

Number of homes sold from each discount rack

0%to7%7%to14%14%to22%22%to29%29%to36%36%to43%
202584122

Average Discount from Last List

5%

Typical Sold Discount from Last List

0% to 7%

Negotiated Disocunts from Final List Price

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

0%to5%5%to9%9%to14%14%to18%18%to23%23%to28%
20259512

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.