Why a low number of closed sales causes volatility in statistics

Why a low number of closed sales causes volatility in statistics

Why do the numbers swing so much when there aren’t many sales?

Statistics like median price or days on market describe the “typical” market. When there are lots of sales, a few unusual ones get outweighed by the rest. When there are only a handful, each individual sale carries a lot of weight.

Say a small town has 4 closed sales in a month, and one of them is a $1.2M lakefront home. The median price jumps. Next month, if all 4 sales are modest starter homes, the median drops sharply. The market didn’t change, you just had a different mix of homes close. With 400 sales, one lakefront home wouldn’t move the needle.

Low volume also means the mix of homes (size, age, neighborhood, price tier) changes a lot from month to month, and that mix drives the stats more than actual market conditions do.

How to read it: Don’t draw conclusions from a single month in a low-volume area. Look at longer time periods (quarterly or year-over-year), and pay attention to the number of sales behind each figure. A big percentage change on 5 sales is usually noise, not a trend. You can also add more areas to the analysis to increase the properties being analyzed.