The share of U.S. homes worth at least $1 million has fallen to 7% from 8.6% last June as the housing market cools. 

Just over 7% of U.S. homes are worth $1 million or more. That’s down from June 2022’s all-time high of 8.6% and essentially unchanged from a year ago–but it’s up from 4.2% just before the pandemic began.

This analysis uses the Redfin Housing Value Index—a model that incorporates the Redfin Estimate, public records and MLS data to estimate the current and historical value of more than 99 million properties in the U.S. The figures in this report represent January 2023, unless otherwise noted. See the end of this report for a detailed methodology.

Million-dollar-plus homes making up a smaller portion of the housing pie than they did in the spring is an illustration of the cooling market. Home values have dropped from record highs as 6.5%-plus mortgage rates dampen homebuying demand, and home prices have posted their first annual decline in over a decade. That has pushed a certain portion of homes that would have been worth seven figures at the peak of the pandemic homebuying frenzy below the million-dollar threshold. Some of the decline from the June peak is due to seasonality, as home prices typically decline in the second half of the year, but the June-to-January drop noted in this report is much bigger than usual.

“Home values are coming down from their peak and fewer sellers could fetch seven figures–but that doesn’t mean buyers are getting a break,” said Redfin Economics Research Lead Chen Zhao. “The typical homebuyer’s monthly mortgage payment is even higher than it was when home values peaked in the spring because rates are so much higher and although home prices have come down, they certainly haven’t crashed. Now isn’t the time for buyers who need to take out a loan to get a good deal: Buying an $800,000 home today would cost more per month than buying a million-dollar home a year ago.”

With today’s 6.6% mortgage rates, a buyer who made a 20% down payment would pay $5,241 for an $800,000 home. With the 3.5% rates common in early 2022, that same buyer would pay $5,034 per month for a $1 million home.

The portion of U.S. homes worth seven figures has nearly doubled since before the pandemic, and the typical home is worth significantly more. That’s due mostly to home prices soaring as demand skyrocketed during the pandemic and partly to the general uptick in home values over time.

Bay Area, Seattle and New York are losing million-dollar homes fastest

The share of homes valued at seven figures is falling quickest in the Bay Area and other expensive coastal areas as the overall housing market cools. Just over 80% of San Francisco homes are worth at least $1 million–the biggest share of the 99 most populous U.S. metros, but down from 86.3% a year ago.

Oakland, CA, where 44.8% of homes are worth $1 million or more, down from 50% a year ago, experienced the next-biggest decline. It’s followed by Seattle (27.5%, down from 30.9%), New York (29.5%, down from 32.5%) and San Jose, CA (79.2%, down from 81.7%).

The Bay Area has seen outsized drops because home prices there have dropped more than in other places. San Francisco’s median sale price fell 9.4% year over year in January and Oakland’s fell 7.8%, two of the three largest declines in the U.S. Rising mortgage rates have hit expensive markets particularly hard because homes there are so expensive, with even a small bump in rates translating to a big increase in monthly mortgage payments.

Using a variation of the example above, even a nearly 10% drop in San Francisco’s prices doesn’t cancel out the impact of today’s high mortgage rates. The typical San Francisco homebuyer would pay $8,372 for today’s median-priced ($1,278,000) home with a 6.6% rate. A year ago, a buyer would have paid $1,410,000 for the typical home–but their monthly payment would have been much lower, around $7,100 with a 3.5% rate.

The prevalence of tech workers is another reason for falling prices in those places: There isn’t as much demand for homes there as there once was because of the popularity of remote work, and stumbling stocks and the surge of layoffs in the industry means fewer people can afford to buy.

Still, the vast majority of homes in the Bay Area are worth at least a million dollars–San Francisco, San Jose, Anaheim (54.2%), Oakland and San Diego (38.6%) are home to the largest portions of seven-figure homes in the U.S.–and more than a quarter of homes in Seattle and New York hit that mark.

Florida is home to more million-dollar homes than a year ago

Roughly 1 in 7 (14.4%) of Miami homes are worth at least $1 million, up from 11.5% a year ago, the biggest increase of the metros in this analysis. The next-biggest upticks are in North Port, FL (11.3%, up from 9.1%), Anaheim (54.2%, up from 52.2%), Nashville (8.4%, up from 6.4%) and West Palm Beach, FL (12.8%, up from 11.1%).

Million-dollar homes are making up a larger chunk of Florida’s housing stock because many parts of the Sunshine State are still seeing substantial upticks in home values and prices. Florida was home to six of the 10 metros with the biggest home-value increases last year, and Miami, North Port and West Palm Beach all saw 5%-plus annual price increases in January.

Florida homes are holding their value because there’s still healthy demand from buyers, especially out-of-town remote workers moving in from more expensive parts of the country. Five of the nation’s 10 most popular migration destinations are in Florida, despite its status as the most hurricane-prone state in the U.S. Redfin agents report that homebuyers typically move in for the state’s relatively affordable homes, beaches, warm weather and lack of a state income tax.

All in all, the portion of homes worth at least a million dollars is up from a year earlier in 70 of the 99 most populous U.S. metros. It’s unchanged in 11 and down in the remaining 18.

Seven-figure homes are scarce in parts of the Midwest and Rust Belt

There are virtually no million-dollar homes in several inexpensive parts of the Midwest, the Rust Belt and Texas.

The share of homes worth $1 million or more is 0.5% or lower in Elgin, IL; Dayton, OH; El Paso, TX; McAllen, TX; Akron, OH; Gary, IN; Buffalo, NY; Detroit, MI; Des Moines, IA; Rochester, NY; Cleveland, OH and Wilmington, DE.

Metro-level summary: Share of homes worth at least $1 million, January 2023

Sorted by biggest decline to biggest increase in share of homes worth $1 million or more

U.S. metro areaShare of homes worth at least $1 million, YoY change (in percentage points)Share of homes worth at least $1 million, Jan. 2023Share of homes worth at least $1 million, Jan. 2022
San Francisco, CA-6.080.3%86.3%
Oakland, CA-5.244.8%50.0%
Seattle, WA-3.427.5%30.9%
New York, NY-3.029.5%32.5%
San Jose, CA-2.579.2%81.7%
Austin, TX-1.210.1%11.3%
Boise City, ID-0.94.8%5.7%
Los Angeles, CA-0.836.5%37.3%
Denver, CO-0.79.7%10.4%
Honolulu, HI-0.636.8%37.4%
Sacramento, CA-0.66.5%7.2%
Stockton, CA-0.52.7%3.2%
Washington, DC-0.410.8%11.2%
Tacoma, WA-0.35.5%5.8%
Colorado Springs, CO-0.24.2%4.4%
Salt Lake City, UT-0.16.2%6.3%
San Diego, CA-0.1%38.6%38.7%
New Haven, CT01.9%1.9%
New Orleans, LA02.0%2.0%
Akron, OH00.3%0.3%
Rochester, NY00.5%0.5%
Des Moines, IA00.5%0.5%
Gary, IN00.3%0.3%
Detroit, MI00.4%0.4%
Elgin, IL00.1%0.1%
Dayton, OH00.2%0.2%
McAllen, TX00.2%0.2%
El Paso, TX00.2%0.2%
Bakersfield, CA0.10.7%0.6%
St. Louis, MO0.10.7%0.7%
Philadelphia, PA0.12.2%2.1%
Cleveland, OH0.10.5%0.4%
Buffalo, NY0.10.3%0.2%
Las Vegas, NV0.13.5%3.4%
Wilmington, DE0.10.5%0.4%
Fresno, CA0.11.4%1.3%
Birmingham, AL0.10.7%0.6%
Cincinnati, OH0.11.0%0.8%
Lakeland, FL0.10.7%0.5%
Minneapolis, MN0.12.0%1.9%
Tulsa, OK0.10.9%0.8%
Memphis, TN0.10.9%0.7%
Warren, MI0.11.3%1.1%
Baton Rouge, LA0.20.8%0.7%
Louisville, KY0.20.7%0.5%
Cape Coral, FL0.28.3%8.1%
Oklahoma City, OK0.20.8%0.7%
Columbia, SC0.20.8%0.6%
Pittsburgh, PA0.20.8%0.6%
Omaha, NE0.20.7%0.5%
Allentown, PA0.20.6%0.4%
Little Rock, AR0.20.9%0.6%
Columbus, OH0.21.0%0.8%
Indianapolis, IN0.21.0%0.8%
Hartford, CT0.20.8%0.5%
Greensboro, NC0.30.8%0.6%
Milwaukee, WI0.31.6%1.3%
Chicago, IL0.33.0%2.7%
Oxnard, CA0.326.2%25.9%
Richmond, VA0.31.4%1.1%
Camden, NJ0.31.0%0.7%
Kansas City, MO0.31.5%1.2%
Grand Rapids, MI0.31.3%1.0%
Baltimore, MD0.32.7%2.4%
Albany, NY0.40.8%0.5%
San Antonio, TX0.42.1%1.8%
Houston, TX0.42.9%2.5%
Dallas, TX0.44.7%4.3%
Virginia Beach, VA0.42.4%2.0%
Fort Worth, TX0.42.7%2.3%
Tucson, AZ0.52.7%2.2%
Phoenix, AZ0.56.9%6.4%
Worcester, MA0.51.3%0.8%
Atlanta, GA0.53.1%2.6%
Riverside, CA0.56.9%6.4%
Lake County, IL0.53.4%2.9%
Portland, OR0.65.9%5.4%
Frederick, MD0.612.9%12.3%
Greenville, SC0.62.3%1.7%
Nassau County, NY0.713.8%13.1%
Montgomery County, PA0.74.1%3.4%
Boston, MA0.718.2%17.5%
Orlando, FL0.83.1%2.3%
Charlotte, NC0.83.7%2.8%
Knoxville, TN0.82.5%1.7%
Tampa, FL0.94.5%3.6%
Providence, RI0.94.6%3.8%
Jacksonville, FL1.04.7%3.6%
Raleigh, NC1.14.4%3.3%
Newark, NJ1.38.4%7.1%
Bridgeport, CT1.514.0%12.5%
New Brunswick, NJ1.69.1%7.5%
Charleston, SC1.610.0%8.4%
Fort Lauderdale, FL1.76.8%5.1%
West Palm Beach, FL1.712.8%11.1%
Nashville, TN2.08.4%6.4%
Anaheim, CA2.054.2%52.2%
North Port, FL2.211.3%9.1%
Miami, FL2.914.4%11.5%


This analysis uses the Redfin Housing Value Index—a model that incorporates the Redfin Estimate, public records and MLS data to estimate the current and historical value of more than 99 million single-family homes, condos, townhouses and multifamily properties in the U.S.

To calculate current values (January 2023), the Redfin Housing Value Index uses  the Redfin Estimate, which is available in most but not all parts of the U.S. To calculate historical values, it uses public records and MLS data on price per square foot trends by zip code (or city, county, or state when zip-code data is insufficient). The Redfin Home Value Index includes both existing homes and new-construction homes, and dates back to the year 2000. Homes are not added to the index until they are first built or sold.

The share of homes worth at least $1 million were calculated using these raw numbers: 6,203,954 homes were worth at least $1 million in January 2023, compared with 7,458,031 in June 2022 and 6,030,177 in January 2022.