Talking Real Estate Statistics:

Our local real estate market is a hot topic, and every month brings a fresh batch of statistics. We eagerly await the reports detailing average home prices, hoping to glean insight into the market’s health and the value of our own properties. However, while figures like the mean, median, and mode offer a seemingly straightforward snapshot, they can often paint a misleading picture of the true dynamics at play.

The mean, or the arithmetic average, is perhaps the most cited statistic. It’s calculated by adding up all the sale prices in each month and dividing by the number of transactions. While simple to understand, the mean is particularly susceptible to the influence of outliers – those exceptionally high or low-priced properties that don’t represent the typical market. Imagine a month with 10 home sales, nine of which fall in the $400,000 to $500,000 range, but one extravagant estate sells for $1.5 million. This single high-value sale can significantly inflate the mean, making it appear as though the “average” home price is much higher than what the majority of buyers are experiencing. For prospective first-time homebuyers in Bend, seeing a high mean price might lead to unnecessary discouragement, even if there are plenty of more affordable options available.

The median, on the other hand, offers a more robust measure against the impact of outliers. It represents the middle value in a dataset when the sale prices are arranged in ascending order. In our example of 10 home sales, the average would be the fifth and sixth highest sale prices, effectively ignoring the influence of the $1.5 million estate. This provides a more accurate reflection of the “typical” selling price, as it’s less skewed by extreme values. For understanding the price point where half the homes sold for more and half sold for less, the median is a far more reliable indicator than the mean.

Finally, the mode represents the most frequently occurring value in a dataset. In the context of real estate prices, the mode would be the price point at which most homes were sold in a given month. While interesting, the mode can also be misleading. It might highlight a popular price range, but it doesn’t tell us anything about the distribution of prices above or below that point. A market could have a strong mode at a particular price point but still have a significant number of sales at much higher or lower values, which the mode alone wouldn’t reveal.

Our local real estate market isn’t monolithic. Prices vary significantly based on location (downtown vs. the outskirts), property type (single-family homes vs. condos), size, age, and condition. An “average” price for Bend might not accurately reflect the reality in Northwest Crossing versus the Mountain View neighborhood.

Understanding the nuances of real estate statistics is crucial for navigating our local market effectively.

This article appears in Source Weekly May 15, 2025.