In September, the median home in Cleveland County was listed for $284,500, a 3.6% decrease from the previous month’s $295,000, according to Realtor.com data.
Compared to September 2024, the median home list price fell 5% to $299,498.
The numbers in this article only apply to residences advertised for sale in Cleveland County, not those that have been sold. statistics.shelbystar.com provides information on your local housing market, as well as other important community statistics.
Cleveland County’s median home size was 1,667 square feet, priced at $175 per square foot. The price per square foot of residences for sale has dropped 1.5% since September 2024.
Cleveland County listings moved steadily, with a typical listing time of 67 days, compared to the national median of 62 days in September. In the preceding month, properties spent an average of 64 days on the market. In September, approximately 104 new properties were posted on the market, representing a 6.1% increase from 98 new listings in September 2024.
Realtor.com’s median home prices may exclude a large proportion, if not all, of the homes in a market. The price and volume figures only include single-family homes, condominiums, and townhomes. They include existing residences but exclude most new development and pending and contingent sales.
In North Carolina, the median home price was $419,450, a small drop from August. The median North Carolina home for sale was 1,967 square feet with a price of $217 per square foot.
Across the United States, the median home price was $425,000, down slightly from the previous month. The median American home for sale was advertised at 1,840 square feet and cost $226 per square foot.
The median home list price utilized in this study indicates the midpoint of all houses or units listed during the specified time period. Experts say the median provides a more realistic picture of what’s going on in a market than the average list price, which is calculated by adding all listing prices and dividing by the number of properties sold. A single unusually low or high price can distort the overall average.
