Haver Analytics
Haver Analytics
USA
| Feb 12 2026

U.S. Existing Home Sales Drop in January; Lowest Level Since Sept. ’24

Summary
  • January sales -8.4% (-4.4% y/y) to 3.91 mil., below expectations; steepest m/m fall since Feb. ’22.
  • Widespread regional m/m declines: West (-10.3%), South (-9.0%), Midwest (-7.1%), Northeast (-5.9%); all regions down y/y.
  • Median sales price -2.0% (+0.9% y/y) to $396,800, lowest since Feb. ’25.
  • Unsold inventory -0.8% (+3.4% y/y) to 1.22 mil. units, a one-year low; 3.7 months' supply.

Existing home sales fell 8.4% m/m (-4.4% y/y) to a lower-than-expected 3.91 million units (SAAR) in January following a downwardly revised 4.4% gain to 4.27 million in December (previously +5.1%; 4.35 mil.), according to the National Association of Realtors (NAR). January sales registered the lowest level since September 2024 and the deepest m/m drop since February 2022, well below the Action Economics Forecast Survey expectation of 4.20 million. Sales were 39.2% below a high of 6.43 million in January 2022 and 40.8% below a peak of 6.60 million in January 2021. The sales fall accompanied a drop in the average 30-year fixed mortgage rate to 6.11% in January, the lowest since September 2022, after declining to 6.20% in December, according to Freddie Mac. The sales figures are based on closings of sales contracts signed over the past couple of months.

Existing single-family home sales slid 9.0% (-4.3% y/y) to 3.53 million units in January, the lowest level since September 2024, after a 4.3% gain to 3.88 million in December. Sales of condos and co-ops fell 2.6% (-5.0% y/y) to 380,000 following a 5.4% December rebound to 390,000.

By region, January existing home sales decreased m/m across all major regions. Sales in the West slumped 10.3% (-7.9% y/y) to 700,000 in January after a 4.0% increase in December, marking the third m/m decline in four months and the lowest level since December 2023. Sales in the South dropped 9.0% (-1.6% y/y) to 1.81 million, the lowest reading since October 2024, reversing a 6.4% December gain. Sales in the Midwest fell 7.1% (-7.1% y/y) to 920,000, the lowest level since September 2024, after a 2.1% December increase. Sales in the Northeast declined 5.9% (-4.0% y/y) to 480,000, the lowest level since June 2025, after rising 2.0% in December and November. The South remained the dominant region, accounting for 46.3% of total U.S. existing home sales.

The median price of all existing homes (NSA) fell 2.0% (+0.9% y/y) to $396,800 in January after a 1.2% decline to $405,100 in December ($405,400 initially), representing the sixth m/m fall in seven months and the lowest level since February 2025. Prices were 8.3% below a high of $432,700 in June 2025. The median price of an existing single-family home, also down for the sixth time in seven months, slid 2.2% (+0.6% y/y) to a one-year-low $400,300 in January after a 1.3% decline to $409,500 in December. The median price of condos and co-ops rose 0.9% (3.8% y/y) to $364,600, the third m/m rise in four months and the highest since August, after a 0.4% December increase to $361,200. Regionally, overall prices fell m/m in the Midwest (-3.6%; +2.3% y/y) and South (-2.3%; +0.1% y/y) in January, but increased m/m in the Northeast (+1.1%; +5.8% y/y) and West (+0.4%; -1.4% y/y).

Inventories of homes for sale weakened further in January. The number of existing homes for sale (NSA) fell 0.8% (+3.4% y/y) to 1.22 million units on top of a 14.6% December plunge to 1.23 million, marking the fourth consecutive m/m fall and the lowest level since January 2025. The supply of homes on the market at the current selling rate (NSA) rose to 3.7 months in January after falling to 3.5 months in December (the lowest since January 2025). The most recent high of 4.6 months was in August 2025, while a record low in supply of 1.6 months was in January 2022.

The data on existing home sales, prices and affordability are compiled by the National Association of Realtors. The data on single-family home sales extend back to February 1968. Total sales and price data and regional sales can be found in Haver's USECON database. Regional price and affordability data and national inventory data are available in the REALTOR database. Mortgage interest rates can be found in the WEEKLY database. The expectations figure is from the Action Economics Forecast Survey, reported in the AS1REPNA database.

  • Winnie Tapasanun has been working for Haver Analytics since 2013. She has 20+ years of working in the financial services industry. As Vice President and Economic Analyst at Globicus International, Inc., a New York-based company specializing in macroeconomics and financial markets, Winnie oversaw the company’s business operations, managed financial and economic data, and wrote daily reports on macroeconomics and financial markets. Prior to working at Globicus, she was Investment Promotion Officer at the New York Office of the Thailand Board of Investment (BOI) where she wrote monthly reports on the U.S. economic outlook, wrote reports on the outlook of key U.S. industries, and assisted investors on doing business and investment in Thailand. Prior to joining the BOI, she was Adjunct Professor teaching International Political Economy/International Relations at the City College of New York. Prior to her teaching experience at the CCNY, Winnie successfully completed internships at the United Nations.   Winnie holds an MA Degree from Long Island University, New York. She also did graduate studies at Columbia University in the City of New York and doctoral requirements at the Graduate Center of the City University of New York. Her areas of specialization are international political economy, macroeconomics, financial markets, political economy, international relations, and business development/business strategy. Her regional specialization includes, but not limited to, Southeast Asia and East Asia.   Winnie is bilingual in English and Thai with competency in French. She loves to travel (~30 countries) to better understand each country’s unique economy, fascinating culture and people as well as the global economy as a whole.

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