Existing home sales in the United States fell by 1.7% from the previous month to a seasonally adjusted annualized rate of 4.05 million units in July of 2026, relatively close to market expectations of 4.06 million. It follows a 1.4% decline in the previous month. Existing home sales declined in the South (-3.1%) and Midwest (-2%) regions while sales were relatively unchanged in the West, offsetting the 2% increase in the Northeast. Total housing inventory decreased 1.9% to 1.54 million units and the median price was $434,100 for all housing types, a 2% increase from last year. “Home sales have been remarkably stable, even amid the rising mortgage rate environment of the past few months,” said NAR Chief Economist Lawrence Yun. “Year-to-date sales are up 2.4% and there’s no doubt that the housing market would be thriving if average mortgage rates were to return near 6%”. source: National Association of Realtors
Existing Home Sales in the United States decreased to 4060 Thousand in July from 4130 Thousand in June of 2026. Existing Home Sales in the United States averaged 4065.32 Thousand from 1968 until 2026, reaching an all time high of 7250.00 Thousand in September of 2005 and a record low of 1370.00 Thousand in March of 1970. This page provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. United States Existing Home Sales - data, historical chart, forecasts and calendar of releases - was last updated on August of 2026.
Existing Home Sales in the United States decreased to 4060 Thousand in July from 4130 Thousand in June of 2026. Existing Home Sales in the United States is expected to be 3900.00 Thousand by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the United States Existing Home Sales is projected to trend around 3600.00 Thousand in 2027 and 4000.00 Thousand in 2028, according to our econometric models.