Average: the sum of all the values divided by the total number of values; also known as the MeanMedian: the midpoint in a given range of values, taken as the average of the two middle values when the sequence has an even number of values
Average can over-estimate the market by 15-20% or more than the Median! As data sizes gets smaller—through filter selections, etc.—the average degenerates even more poorly.
Let’s look at a sample market. The blue line represents a distribution of all listings by sold price for a time period. The orange vertical line is the Median Sold Price, and the gray vertical line is the Average Sold Price. That’s a huge difference! In this example, 68% of all sold listings are below the average price. Yikes! In short, Median automatically accounts for variability in sales performance at the high and low ends of the market, giving a true economic picture of the market.
So why do some market reports publish Average Price when it’s simply wrong?