Home Statistics - Definitions

You have probably been looking at the Anatolia home statistics for a while and wondering to yourself … what the heck is a “DOM”? Below the labels used on the report are defined so that you can better understand how to read the reports. As always, if you have questions please let me know. I’m more than happy to review any of this information with you.

Active DOM - This is the average number of Days On Market for active listings.
Active $/sq. ft. - Average dollars per square foot of the active listings. Be careful, the $/sq. ft. is not a linear scale. Smaller, single story homes will typically have a slightly higher $/sq. ft. value when compared against larger two-story homes.
Sold DOM - This is the average number of Days On Market for sold listings. This is how long it took to sell the properties. This is important !!!
Sold $/sq. ft. - Average dollars per square foot of the sold listings.

Active - Homes that are currently for sale.
Pending - Homes that currently have offers on them. Some may be asking for backups but these are pretty much off limits.
Sold - Obviously, these homes have been sold. This is a good indicator of how the inventory is moving in the area.
Expired/Withdrawn - These are homes that sellers have either taken off of the market or that have had their listing contracts expire. Many times you will see these pop back up on the market.

Total Sales - This is the total number of homes sold in the 95742 zip code.
Median Sales Price * - Sales price where there were an equal number of houses higher and lower (not the average)
Monthly Listing Inventory - Number of new homes available in the 95742 zip code.
Monthly Median Listing Price * - Listing price where there were an equal number of houses higher and lower.
Total Listing Inventory - Total number of homes available in the 95742 zip code.
Total Listing Median Price * - Median listing price of all homes currently available in the 95742 zip code.
* median is a statistical concept that describes the number separating the upper half and the lower half of a data set. For example: If you have an odd number elements: A,B,C => median = B. If you have an even number of elements: A,B,C,D => median = (B+C)/2

Boxing/Life rule #234
— It is better to give than receive.