Chelsea Harbour Research, Pricing, and Statistics
Units Sold:
4
Average Sold Price:
$415,825
Average Sold Discount:
3%
Average DOM:
27
Chelsea Harbour offers a vibrant real estate market with 6 homes currently for sale, averaging a list price of $618,798. Homes range from 2,928 to 3,934 sq ft, featuring spacious lots averaging 7,259 sq ft. With properties built between 2003 and 2004, this community is perfect for families looking for modern living.
Active Listings
6
Average List Price
$618,798
Typical List Price
$578k to $634k
Homes Listed per Price Range
A visual list price spectrum representation
| $560kto$622k | $622kto$683k | $683kto$745k | |
|---|---|---|---|
| 2024 | 4 | 1 | 2 |
Sold Listings
4
Average Selling Price
$415,825
Typical Selling Price
$383k to $563k
Homes Sold per Price Range
A visual sold price spectrum representation
| $3kto$302k | $302kto$600k | |
|---|---|---|
| 2024 | 1 | 4 |
Average Sold Price per Sq Ft
$180
Typical Sold Price per Sq Ft
$172 to $194
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $1to$92 | $92to$184 | |
|---|---|---|
| 2024 | 1 | 4 |
Average Days to Sell
27
Typical Days to Sell
7 to 33
Days on the Market Distribution
The number of homes sold in each DOM range
| 5to42 | 42to79 | |
|---|---|---|
| 2024 | 3 | 2 |
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%to3% | 3%to6% | |
|---|---|---|
| 2024 | 2 | 3 |
Average Discount from Last List
3%
Typical Sold Discount from Last List
1% to 4%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
| 0%to3% | 3%to6% | |
|---|---|---|
| 2024 | 2 | 3 |
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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