The Woodlands Creekside Park Research, Pricing, and Statistics
Units Sold:
266
Average Sold Price:
$595,197
Average Sold Discount:
2%
Average DOM:
36
The Woodlands Creekside Park community offers a diverse range of homes, with 71 properties currently for sale. Prices range from $430,000 to $4,750,000, featuring average home sizes of 3,628 sq ft and lot sizes of 11,744 sq ft. With active builders like Toll Brothers and Tri Pointe Homes, it's an excellent time to explore buying or selling in this vibrant neighborhood!
Active Listings
71
Average List Price
$1,106,229
Typical List Price
$547k to $1,265k
Homes Listed per Price Range
A visual list price spectrum representation
| $430kto$777k | $777kto$1.1M | $1.1Mto$1.5M | $1.5Mto$1.8M | $1.8Mto$2.2M | $2.2Mto$2.5M | $2.5Mto$2.9M | $2.9Mto$3.2M | $3.2Mto$3.6M | $3.6Mto$3.9M | $3.9Mto$4.2M | $4.2Mto$4.6M | $4.6Mto$4.8M | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 31 | 20 | 8 | 2 | 2 | 4 | 1 | 1 | 1 | 2 | |||
Sold Listings
266
Average Selling Price
$595,197
Typical Selling Price
$4k to $887k
Homes Sold per Price Range
A visual sold price spectrum representation
| $1kto$351k | $351kto$701k | $701kto$1.1M | $1.1Mto$1.4M | $1.4Mto$1.8M | $1.8Mto$2.1M | $2.1Mto$2.5M | $2.5Mto$2.8M | $2.8Mto$3.2M | $3.2Mto$3.5M | $3.5Mto$3.9M | $3.9Mto$4.2M | $4.2Mto$4.6M | $4.6Mto$4.9M | $4.9Mto$5.3M | $5.3Mto$5.6M | $5.6Mto$6.0M | $6.0Mto$6.3M | $6.3Mto$6.7M | $6.7Mto$7.0M | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 102 | 65 | 55 | 25 | 8 | 5 | 2 | 1 | 1 | 1 | 2 | |||||||||
Average Sold Price per Sq Ft
$277
Typical Sold Price per Sq Ft
$218 to $309
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $1to$80 | $80to$160 | $160to$239 | $239to$318 | $318to$397 | $397to$477 | $477to$556 | $556to$573 | |
|---|---|---|---|---|---|---|---|---|
| 2024 | 101 | 74 | 71 | 14 | 1 | 2 | ||
Average Days to Sell
36
Typical Days to Sell
6 to 48
Days on the Market Distribution
The number of homes sold in each DOM range
| to27 | 27to54 | 54to81 | 81to108 | 108to135 | 135to162 | 162to189 | 189to216 | 216to243 | 243to270 | 270to296 | 296to323 | 323to350 | 350to377 | 377to404 | 404to431 | 431to458 | 458to485 | 485to512 | 512to539 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 156 | 54 | 23 | 14 | 8 | 5 | 4 | 1 | 2 | |||||||||||
Average Discount from Original List
2%
Typical Sold Discount from Original List
0% to 4%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -15%to-13% | -13%to-11% | -11%to-9% | -9%to-7% | -7%to-4% | -4%to-2% | -2%to0% | 0%to2% | 2%to4% | 4%to6% | 6%to8% | 8%to11% | 11%to13% | 13%to15% | 15%to17% | 17%to19% | 19%to21% | 21%to24% | 24%to26% | 26%to28% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 1 | 1 | 5 | 6 | 5 | 17 | 16 | 114 | 40 | 26 | 17 | 6 | 3 | 3 | 1 | 1 | 1 | 2 | 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
| -15%to-14% | -14%to-12% | -12%to-10% | -10%to-9% | -9%to-7% | -7%to-6% | -6%to-4% | -4%to-2% | -2%to-1% | -1%to1% | 1%to3% | 3%to4% | 4%to6% | 6%to7% | 7%to9% | 9%to11% | 11%to12% | 12%to14% | 14%to15% | 15%to17% | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 1 | 4 | 4 | 3 | 7 | 13 | 16 | 116 | 36 | 26 | 19 | 14 | 2 | 1 | 3 | 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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