Bacliff Research, Pricing, and Statistics
Units Sold:
40
Average Sold Price:
$255,852
Average Sold Discount:
11%
Average Price Reduction:
5%
Average DOM:
140
Bacliff offers a diverse real estate market with 48 homes for sale, featuring average list prices around $340,400. Homes range from cozy 2-bedroom spaces to larger 4-bedroom options, with sizes averaging 1,621 sq ft. Lot sizes vary significantly, providing ample outdoor space for potential buyers. Whether you're looking to buy or sell, Bacliff has something for everyone!
Active Listings
48
Average List Price
$340,400
Typical List Price
$200k to $290k
Homes Listed per Price Range
A visual list price spectrum representation
$83kto$238k | $238kto$394k | $394kto$550k | $550kto$706k | $706kto$862k | $862kto$1.0M | $1.0Mto$1.2M | $1.2Mto$1.3M | $1.3Mto$1.5M | $1.5Mto$1.6M | $1.6Mto$1.8M | $1.8Mto$2.0M | $2.0Mto$2.1M | $2.1Mto$2.3M | $2.3Mto$2.4M | $2.4Mto$2.6M | $2.6Mto$2.7M | $2.7Mto$2.9M | $2.9Mto$3.0M | $3.0Mto$3.2M | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | 24 | 16 | 6 | 1 | 2 |
Sold Listings
40
Average Selling Price
$255,852
Typical Selling Price
$138k to $280k
Homes Sold per Price Range
A visual sold price spectrum representation
$28kto$111k | $111kto$194k | $194kto$278k | $278kto$361k | $361kto$444k | $444kto$528k | $528kto$611k | $611kto$694k | $694kto$778k | $778kto$861k | $861kto$944k | $944kto$1.0M | $1.0Mto$1.1M | $1.1Mto$1.2M | $1.2Mto$1.3M | $1.3Mto$1.4M | $1.4Mto$1.4M | $1.4Mto$1.5M | $1.5Mto$1.6M | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | 9 | 10 | 10 | 7 | 1 | 1 | 1 | 2 |
Average Sold Price per Sq Ft
$199
Typical Sold Price per Sq Ft
$136 to $213
Number of Homes Sold by Sold Price per Square Foot
Breaking down the market by $/SF ranges
$58to$84 | $84to$111 | $111to$137 | $137to$163 | $163to$189 | $189to$215 | $215to$241 | $241to$268 | $268to$294 | $294to$314 | |
---|---|---|---|---|---|---|---|---|---|---|
2024 | 2 | 1 | 8 | 5 | 12 | 2 | 3 |
Average Days to Sell
140
Typical Days to Sell
19 to 163
Days on the Market Distribution
The number of homes sold in each DOM range
2to86 | 86to170 | 170to254 | 254to338 | 338to422 | 422to506 | 506to590 | 590to675 | 675to710 | |
---|---|---|---|---|---|---|---|---|---|
2024 | 22 | 9 | 1 | 1 | 2 | 3 | 1 | 2 |
Average Price Reduction
5%
Typical Price Reduction
0% to 7%
Price Reduction Distribution
Shows the number of homes within each price reduction bracket. If you were clothes shopping, this would be like counting how many shirts were on each of the various clearance racks (5%, 10%, etc.)
-3%to0% | 0%to3% | 3%to6% | 6%to9% | 9%to12% | 12%to15% | 15%to18% | 18%to21% | 21%to24% | 24%to27% | 27%to30% | 30%to33% | 33%to36% | 36%to39% | 39%to42% | 42%to42% | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024 | 2 | 63 | 15 | 11 | 3 | 5 | 2 | 2 | 3 | 1 | 2 | 2 | 2 |
Average Discount from Original List
11%
Typical Sold Discount from Original List
3% to 15%
Discounts Distribution - From Initial List Price
Number of homes sold from each discount rack
-2%to5% | 5%to12% | 12%to19% | 19%to26% | 26%to33% | 33%to41% | 41%to47% | |
---|---|---|---|---|---|---|---|
2024 | 12 | 13 | 7 | 4 | 1 | 2 |
Average Discount from Last List
5%
Typical Sold Discount from Last List
0% to 9%
Negotiated Disocunts from Final List Price
The percentage difference between final list price and closed price, distributed
-6%to-1% | -1%to5% | 5%to10% | 10%to15% | 15%to20% | |
---|---|---|---|---|---|
2024 | 1 | 19 | 11 | 5 | 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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