Crystal Communities

The scatter diagram plots price (along the horizontal axis) and square footage (along the vertical axis), the pattern of the resulting points reveals any correlation present between the price and the size of the home. When enough correctly selected closed sales are present a linear regression can be calculated providing insight for properly pricing a property. This graph is only useful when similar properties are considered. For assistance identifying similar properties and determining if a correlation does exist, please contact your agent or customer service.

This line graph monitors the average amount of time it takes to market and close on a property. This is useful for monitoring whether a market is accelerating or decelerating. Since it is calculated from closed properties it is useful as a trailing indicator. For assistance predicting the future direction of the market based on active properties, please contact your agent or customer service.

Examining the number of homes sold per month can be an effective way to gauge the sales pace for a particular market. When sales pace is considered alongside days on market the two metrics can prove very effective for revealing future market conditions.

In neighborhoods where properties closely resemble one another, tracking price per square foot over time can provide some basic pricing insight. It’s important to only use this graph in neighborhoods with properties of similar age, condition, and size. For help determining if price per square foot is appropriate, please contact your agent or customer service for more assistance.

This pie chart considers the distribution of sales across all of the price brackets during a specific time period and area. The chart is useful for quickly analyzing which price categories are most commonly sold and when multiple pie charts are considered for spotting consumer preferences across different geographies.