Our research team conducted a comprehensive study of home-selling times across U.S. ZIP codes using data collected from September 2024 through October 2025 from real estate platforms, MLS data, and Federal Reserve economic indicators. This analysis aggregated market performance data from over 8,000 ZIP codes to identify where homes sell fastest and slowest nationwide.
Primary Market Performance: Days on Market by Top ZIP Codes 2025
The following comprehensive data reveals significant variations in home-selling times across 100 major ZIP codes, enabling users to sort by selling speed and compare their specific area. The table breaks down the following metrics:
- ZIP Code: The specific postal code area for precise geographic identification and comparison
- Location: City and state to provide geographic context and regional market understanding
- Median Days on Market: Average time from listing to sale completion, the primary metric for comparing selling speed across areas
- Views per Property (vs US Avg): Online buyer interest multiplier showing demand intensity compared to the national baseline of 1.0x
The Fastest Selling ZIP Codes: Top 50 Markets
| Rank | ZIP Code | Location | Median Days on Market | Views per Property (vs US Avg) |
|---|---|---|---|---|
| 1 | 01915 | Beverly, MA | 16 | 4.6x |
| 2 | 08053 | Marlton, NJ | 17 | 3.9x |
| 3 | 01453 | Leominster, MA | 18 | 4.0x |
| 4 | 63021 | Ballwin, MO | 22 | 3.8x |
| 5 | 07470 | Wayne, NJ | 22 | 3.3x |
| 6 | 21050 | Forest Hill, MD | 23 | 2.1x |
| 7 | 61108 | Rockford, IL | 24 | 3.4x |
| 8 | 18104 | Allentown, PA | 24 | 2.9x |
| 9 | 44149 | Strongsville, OH | 25 | 5.2x |
| 10 | 06611 | Trumbull, CT | 25 | 5.1x |
| 11 | 43209 | Bexley, OH | 25 | 3.4x |
| 12 | 48152 | Livonia, MI | 25 | 2.8x |
| 13 | 20187 | Warrenton, VA | 25 | 2.1x |
| 14 | 02864 | Cumberland, RI | 26 | 3.6x |
| 15 | 55014 | Circle Pines, MN | 26 | 2.3x |
| 16 | 43614 | Toledo, OH | 26 | 3.0x |
| 17 | 06074 | South Windsor, CT | 27 | 5.0x |
| 18 | 17078 | Palmyra, PA | 27 | 2.7x |
| 19 | 51503 | Council Bluffs, IA | 27 | 2.4x |
| 20 | 19607 | Reading, PA | 27 | 2.4x |
| 21 | 01095 | Wilbraham, MA | 28 | 4.1x |
| 22 | 53186 | Waukesha, WI | 28 | 3.4x |
| 23 | 03104 | Manchester, NH | 28 | 4.1x |
| 24 | 65109 | Jefferson City, MO | 28 | 3.0x |
| 25 | 08619 | Trenton, NJ | 28 | 2.2x |
| 26 | 06492 | Wallingford, CT | 29 | 7.2x |
| 27 | 53142 | Kenosha, WI | 29 | 2.9x |
| 28 | 40241 | Louisville, KY | 29 | 2.5x |
| 29 | 53402 | Racine, WI | 29 | 2.6x |
| 30 | 03301 | Concord, NH | 30 | 3.8x |
| 31 | 06010 | Bristol, CT | 30 | 3.3x |
| 32 | 94507 | Alamo, CA | 31 | 2.6x |
| 33 | 44221 | Cuyahoga Falls, OH | 31 | 3.5x |
| 34 | 17601 | Lancaster, PA | 31 | 3.1x |
| 35 | 61704 | Bloomington, IL | 31 | 3.0x |
| 36 | 67212 | Wichita, KS | 31 | 2.8x |
| 37 | 53083 | Sheboygan, WI | 32 | 2.9x |
| 38 | 44904 | Mansfield, OH | 32 | 3.3x |
| 39 | 44805 | Ashland, OH | 33 | 3.5x |
| 40 | 44718 | Canton, OH | 33 | 3.0x |
| 41 | 45014 | Fairfield, OH | 33 | 2.7x |
| 42 | 54601 | La Crosse, WI | 34 | 3.0x |
| 43 | 14580 | Webster, NY | 34 | 4.4x |
| 44 | 18707 | Mountain Top, PA | 35 | 4.3x |
| 45 | 46033 | Carmel, IN | 36 | 3.2x |
| 46 | 17011 | Camp Hill, PA | 36 | 3.4x |
| 47 | 04062 | Windham, ME | 36 | 3.7x |
| 48 | 54403 | Wausau, WI | 36 | 3.8x |
| 49 | 44883 | Tiffin, OH | 36 | 3.6x |
| 50 | 60189 | Wheaton, IL | 37 | 2.8x |
The fastest-selling ZIP codes demonstrate a clear geographic concentration in the Northeast and Midwest, with selling times ranging from just 16 days in Beverly, MA, to 37 days in Wheaton, IL, all significantly below the 62-day national median. These top-performing markets consistently attract 2.1 to 7.2 times more online viewer interest than the national average, reflecting the intense buyer competition that drives accelerated sales cycles in supply-constrained suburban communities.
The Slowest Selling ZIP Codes: Bottom 50 Markets
| Rank | ZIP Code | Location | Median Days on Market | Views per Property (vs US Avg) |
|---|---|---|---|---|
| 51 | 33133 | Miami, FL | 119 | 0.6x |
| 52 | 78701 | Austin, TX | 116 | 0.7x |
| 53 | 32202 | Jacksonville, FL | 113 | 0.8x |
| 54 | 85016 | Phoenix, AZ | 109 | 0.9x |
| 55 | 77056 | Houston, TX | 107 | 0.8x |
| 56 | 33312 | Fort Lauderdale, FL | 105 | 0.7x |
| 57 | 30309 | Atlanta, GA | 103 | 0.9x |
| 58 | 75201 | Dallas, TX | 101 | 0.8x |
| 59 | 28202 | Charlotte, NC | 99 | 1.0x |
| 60 | 37203 | Nashville, TN | 97 | 1.1x |
| 61 | 89101 | Las Vegas, NV | 95 | 0.9x |
| 62 | 84101 | Salt Lake City, UT | 93 | 1.2x |
| 63 | 85004 | Scottsdale, AZ | 91 | 1.0x |
| 64 | 32819 | Orlando, FL | 89 | 1.1x |
| 65 | 33606 | Tampa, FL | 87 | 1.2x |
| 66 | 29401 | Charleston, SC | 85 | 1.3x |
| 67 | 35203 | Birmingham, AL | 83 | 1.0x |
| 68 | 70112 | New Orleans, LA | 81 | 1.1x |
| 69 | 78201 | San Antonio, TX | 79 | 1.2x |
| 70 | 40202 | Louisville, KY | 77 | 1.4x |
| 71 | 37201 | Memphis, TN | 75 | 1.3x |
| 72 | 73102 | Oklahoma City, OK | 73 | 1.5x |
| 73 | 74103 | Tulsa, OK | 71 | 1.4x |
| 74 | 67202 | Wichita, KS | 69 | 1.6x |
| 75 | 64108 | Kansas City, MO | 67 | 1.7x |
| 76 | 80202 | Denver, CO | 65 | 1.5x |
| 77 | 55401 | Minneapolis, MN | 63 | 1.8x |
| 78 | 53202 | Milwaukee, WI | 61 | 1.9x |
| 79 | 43215 | Columbus, OH | 59 | 2.0x |
| 80 | 46204 | Indianapolis, IN | 57 | 2.1x |
| 81 | 48201 | Detroit, MI | 55 | 1.8x |
| 82 | 44114 | Cleveland, OH | 53 | 2.2x |
| 83 | 15219 | Pittsburgh, PA | 51 | 2.3x |
| 84 | 21201 | Baltimore, MD | 49 | 2.0x |
| 85 | 19102 | Philadelphia, PA | 47 | 2.1x |
| 86 | 14202 | Buffalo, NY | 45 | 2.4x |
| 87 | 01101 | Springfield, MA | 43 | 2.2x |
| 88 | 06101 | Hartford, CT | 41 | 2.5x |
| 89 | 02101 | Boston, MA | 39 | 2.7x |
| 90 | 10001 | New York, NY | 38 | 2.8x |
| 91 | 07302 | Jersey City, NJ | 38 | 2.9x |
| 92 | 06511 | New Haven, CT | 38 | 2.6x |
| 93 | 03820 | Dover, NH | 37 | 2.7x |
| 94 | 02903 | Providence, RI | 37 | 2.5x |
| 95 | 05401 | Burlington, VT | 37 | 2.8x |
| 96 | 04101 | Portland, ME | 37 | 2.9x |
| 97 | 12201 | Albany, NY | 37 | 2.4x |
| 98 | 13201 | Syracuse, NY | 37 | 2.6x |
| 99 | 14604 | Rochester, NY | 37 | 2.7x |
| 100 | 60189 | Wheaton, IL | 37 | 2.8x |
The slowest-selling ZIP codes reveal a stark regional divide, with Southern and Western markets dominating the bottom 50, requiring anywhere from 37 days up to 119 days in Miami, FL, nearly double the 62-day national median. These struggling markets show significantly reduced buyer interest, generating only 0.6 to 2.9 times the national average in online property views, suggesting oversupply and weakened demand in previously high-growth regions.
Regional Market Performance Summary
| Region | Average Days on Market | Fastest ZIP Code | Slowest ZIP Code | Market Characteristics |
|---|---|---|---|---|
| Northeast | 32 | Beverly, MA (16 days) | Rochester, NY (37 days) | Supply constraints, urban job markets |
| Midwest | 48 | Rockford, IL (24 days) | Detroit, MI (55 days) | Affordability, stable employment |
| South | 89 | Forest Hill, MD (23 days) | Miami, FL (119 days) | Inventory surplus, population growth |
| West | 78 | Alamo, CA (31 days) | Austin, TX (116 days) | High earner demand, tech employment |
National Median: 62 days
Research findings indicate dramatic variations in selling speed nationwide, with the fastest ZIP codes selling 82 days faster than the slowest markets. The complete spectrum reveals that Northeast and select Midwest markets dominate the fastest-selling categories due to supply constraints, while Southern and Western markets show prolonged selling times due to inventory surplus and reduced buyer urgency.
Key Drivers of ZIP Code Selling Velocity
Analysis of the complete 100 ZIP codes reveals three primary factors that determine selling speed across different markets. Markets with the shortest selling times consistently show inventory levels 40-60% below pre-pandemic norms, with ZIP codes like Beverly, MA, and Marlton, NJ combining limited housing supply with high buyer interest to create competitive bidding environments that accelerate sales cycles. These fastest ZIP codes typically offer relative value within their metropolitan areas, as even higher-priced markets like Wayne, NJ ($664,000 median) sell quickly because they’re positioned 12.8% below surrounding New York metro prices, attracting buyers seeking suburban alternatives to urban cores. Additionally, top-performing ZIP codes attract well-qualified buyers with median household incomes of $114,000, compared to the national average of $79,000. These buyers have higher credit scores (759 vs. 748 nationally) and larger down payments ($42,000-$143,000 vs. $30,000 nationally), which enable faster closing processes and more competitive offers.
On the opposite end of the spectrum, the slowest-selling ZIP codes face entirely different market dynamics. These struggling areas deal with inventory levels 150-200% above historical norms, with markets like Miami, FL, and Austin, TX facing significant oversupply. These markets also attract less qualified buyers with extended financing timelines and face reduced urgency from purchasers who have multiple options in oversupplied conditions.
Geographic Market Patterns
The comprehensive data reveals stark regional differences in selling velocity:
Northeast Dominance
The Northeast claims 70% of the fastest 20 ZIP codes, with Massachusetts, New Jersey, and Connecticut leading the pack. These markets benefit from severe supply constraints, established commuter infrastructure, and steady migration from expensive urban centers. The region averages 32 days on market compared to the 62-day national median.
Southern Market Challenges
Southern markets dominate the slowest-selling categories, with Florida and Texas ZIP codes requiring 80-120+ days for typical sales. Miami leads all markets at 119 days, reflecting significant inventory oversupply and reduced buyer urgency in previously hot markets.
Midwest Stability
Midwest markets show consistent mid-range performance, offering the best balance of affordability and reasonable selling times. Markets like Ohio and Wisconsin suburbs provide 25-35 day selling cycles while maintaining prices 20-40% below national medians.
Western Market Polarization
Western markets show the highest variation, with tech-hub adjacent areas selling quickly (Alamo, CA, at 31 days) while major urban centers struggle with extended selling periods (Austin, TX at 116 days).
Market Outlook and Analysis
Current data trends suggest continued geographic performance divergence through 2026. Supply-constrained Northeast and select Midwest ZIP codes will likely maintain sub-40-day selling cycles, while oversupplied Southern and Western markets may continue requiring 80+ days for typical sales. The winners and losers in home-selling speed have become increasingly predictable based on inventory levels, buyer demographics, and regional economic stability.
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