Zillow Research

Lower mortgage rates extend housing momentum into fall (September market report)

Key takeaways: 

A September dip in mortgage rates paired with a stock market bump gave a boost to what is traditionally the start of the slow season in real estate. Activity from sellers and buyers is unseasonably resilient after a lackluster August.

Unexpected showing of sellers in September

More homeowners decided to list their properties in September after a particularly slow August. New listings, which were down 3% year over year in August, rebounded to show 3% annual growth in September. Typically, new listings drop off sharply heading into fall — they’ve fallen an average of 9% in September over the past seven years — making this year’s mere 2% drop exceptional. 

Pending sales similarly fell off by less than norms for this time of year, declining 5.4% from August to September. This is less than half the usual monthly September decline in the number of active for-sale listings. Total inventory fell 1% from August to September, and is up 14% compared to last year. 

Buyer’s markets more than double as competition eases

A year ago, six of the nation’s 50 largest metros were buyers markets; this September, buyers have the edge in 15 metros. Zillow’s market heat index shows the strongest buyer’s markets are Miami, New Orleans, Austin, Jacksonville and Indianapolis. That’s due, in large part, to a surge of new construction in many of those areas in recent years. 

The hottest markets for sellers are in the Northeast and Bay Area: Buffalo, Hartford, San Jose, San Francisco and New York — places where builders face some of the most stringent land use restrictions.

September 2025 Market Report

Home values

Inventory and new listings

Price cuts and share sold above list

Newly pending sales

Market heat index

Rents

 

About the author

Dr. Kara Ng is a Senior Economist on Zillow’s Economic Research team, where she analyzes housing data to identify emerging trends. In prior roles in financial services, she built quantitative models to forecast macroeconomic and financial conditions, guiding asset allocation and strategy. Dr. Ng earned her Ph.D. in economics from the University of Washington, where she focused on quantitative methods for forecasting. She enjoys leveraging data-driven insights to inform buyers, sellers, and industry professionals.
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