In-depth Real Estate Data: Zip Codes

77062 Research, Pricing, and Statistics

From March 23rd, 2024 through September 19th, 2024

Units Sold:

148

Average Sold Price:

$354,363

Average Sold Discount:

3%

Average Price Reduction:

2%

Average DOM:

39

In the 77062 zip code, there are currently 89 homes for sale, with an average list price of $338,529. Homes typically range from 3 to 4 bedrooms and average around 2,079 sq ft. With prices starting as low as $104,000 and going up to $860,000, there's something for every budget!

Active Listings

89

Average List Price

$338,529

Typical List Price

$290k to $375k

Homes Listed per Price Range

A visual list price spectrum representation

$104kto$142k$142kto$180k$180kto$218k$218kto$256k$256kto$294k$294kto$332k$332kto$371k$371kto$409k$409kto$447k$447kto$485k$485kto$523k$523kto$561k$561kto$599k$599kto$637k$637kto$675k$675kto$713k$713kto$751k$751kto$789k$789kto$827k$827kto$860k
20242173102615134212112

Sold Listings

148

Average Selling Price

$354,363

Typical Selling Price

$275k to $396k

Homes Sold per Price Range

A visual sold price spectrum representation

$95kto$145k$145kto$195k$195kto$246k$246kto$296k$296kto$346k$346kto$396k$396kto$446k$446kto$497k$497kto$547k$547kto$597k$597kto$647k$647kto$697k$697kto$748k$748kto$798k$798kto$848k$848kto$898k$898kto$948k$948kto$999k$999kto$1.0M$1.0Mto$1.1M
202421211253922155523211112

Average Sold Price per Sq Ft

$163

Typical Sold Price per Sq Ft

$153 to $173

Number of Homes Sold by Sold Price per Square Foot

Breaking down the market by $/SF ranges

$98to$109$109to$119$119to$129$129to$139$139to$150$150to$160$160to$170$170to$181$181to$191$191to$201$201to$211$211to$219
2024353121928292414642

Average Days to Sell

39

Typical Days to Sell

6 to 46

Days on the Market Distribution

The number of homes sold in each DOM range

to1818to3636to5454to7272to9090to108108to126126to144144to162162to179180to197197to215215to233233to251251to269269to287287to305305to323323to341341to359
2024802311948441122

Average Price Reduction

2%

Typical Price Reduction

0% to 3%

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.)

0%to1%1%to2%2%to3%3%to4%4%to5%5%to6%6%to7%7%to8%8%to9%9%to10%10%to11%11%to12%12%to13%13%to14%14%to15%15%to16%16%to17%17%to18%18%to19%19%to20%
202421814201412107537114112

Average Discount from Original List

3%

Typical Sold Discount from Original List

0% to 5%

Discounts Distribution - From Initial List Price

Number of homes sold from each discount rack

-7%to-5%-5%to-2%-2%to0%0%to2%2%to4%4%to6%6%to8%8%to10%10%to12%12%to14%14%to16%16%to18%18%to20%20%to22%22%to24%24%to26%
20243118423217146432132

Average Discount from Last List

2%

Typical Sold Discount from Last List

0% to 4%

Negotiated Disocunts from Final List Price

The percentage difference between final list price and closed price, distributed

-7%to-5%-5%to-4%-4%to-2%-2%to-1%-1%to0%0%to2%2%to3%3%to4%4%to6%6%to7%7%to8%8%to10%10%to11%11%to13%13%to14%14%to15%15%to16%
202431173324221811742322

About Our Data

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.

It's all good stuff, and we're pretty confident you'll find it useful. But just FYI - no warranties or guarantees. Let us know if you're looking for something you don't see here.