Lake Pointe Research, Pricing, and Statistics
Units Sold:
6
Average Sold Price:
$721,480
Average Sold Discount:
0%
Average DOM:
62
Lake Pointe offers a vibrant real estate market with 10 homes for sale, featuring an average list price of $882,000. Homes range from 2,176 to 4,830 sq ft, with lot sizes averaging 3,920 sq ft. Built between 2008 and 2014, these properties provide modern living in a desirable community.
Active Listings
10
Average List Price
$882,000
Typical List Price
$707k to $937k
Homes Listed per Price Range
A visual list price spectrum representation
$545kto$796k | $796kto$1.0M | $1.0Mto$1.3M | $1.3Mto$1.5M | $1.5Mto$1.8M | |
---|---|---|---|---|---|
2024 | 6 | 2 | 1 | 2 |
Sold Listings
6
Average Selling Price
$721,480
Typical Selling Price
$589k to $770k
Homes Sold per Price Range
A visual sold price spectrum representation
$575kto$736k | $736kto$898k | $898kto$1.1M | |
---|---|---|---|
2024 | 4 | 1 | 2 |
Average Sold Price per Sq Ft
$256
Typical Sold Price per Sq Ft
$219 to $255
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
$180to$206 | $206to$233 | $233to$260 | |
---|---|---|---|
2024 | 3 | 1 | 2 |
Average Days to Sell
62
Typical Days to Sell
9 to 91
Days on the Market Distribution
The number of homes sold in each DOM range
1to72 | 72to142 | 142to213 | |
---|---|---|---|
2024 | 4 | 1 | 2 |
Average Discount from Original List
0%
Typical Sold Discount from Original List
-1% to 2%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
-5%to-2% | -2%to0% | 0%to3% | |
---|---|---|---|
2024 | 1 | 3 | 3 |
Average Discount from Last List
1%
Typical Sold Discount from Last List
-1% to 3%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
-5%to-1% | -1%to3% | 3%to7% | |
---|---|---|---|
2024 | 2 | 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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