Kings Lake Research, Pricing, and Statistics
Units Sold:
22
Average Sold Price:
$92,863
Average Sold Discount:
0%
Average DOM:
20
Kings Lake offers a vibrant real estate market with 7 homes currently for sale, featuring an average list price of $526,000. Homes range from 2,501 to 3,665 sq ft, with lot sizes averaging 8,494 sq ft. Built between 2010 and 2013, these properties typically have 4 bedrooms and spend 28 to 40 days on the market.
Active Listings
7
Average List Price
$526,000
Typical List Price
$488k to $558k
Homes Listed per Price Range
A visual list price spectrum representation
| $463kto$508k | $508kto$554k | $554kto$599k | |
|---|---|---|---|
| 2024 | 3 | 2 | 3 |
Sold Listings
22
Average Selling Price
$92,863
Typical Selling Price
$3k to $3k
Homes Sold per Price Range
A visual sold price spectrum representation
| $2kto$103k | $103kto$203k | $203kto$304k | $304kto$404k | $404kto$505k | $505kto$605k | |
|---|---|---|---|---|---|---|
| 2024 | 18 | 2 | 3 | |||
Average Sold Price per Sq Ft
$168
Typical Sold Price per Sq Ft
$160 to $176
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
| $1to$32 | $32to$62 | $62to$93 | $93to$124 | $124to$154 | $154to$185 | |
|---|---|---|---|---|---|---|
| 2024 | 18 | 5 | ||||
Average Days to Sell
20
Typical Days to Sell
8 to 25
Days on the Market Distribution
The number of homes sold in each DOM range
| 2to13 | 13to25 | 25to36 | 36to47 | 47to59 | 59to70 | |
|---|---|---|---|---|---|---|
| 2024 | 13 | 3 | 3 | 1 | 3 | |
Average Discount from Original List
0%
Typical Sold Discount from Original List
0% to 1%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
| -12%to-10% | -10%to-7% | -7%to-4% | -4%to-1% | -1%to1% | 1%to4% | |
|---|---|---|---|---|---|---|
| 2024 | 1 | 2 | 14 | 6 | ||
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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