|Transactions (existing home sales) Per Month (TPM)|
|Transactions (existing homes sales) Per Year (TPY)|
|Pending Home Sales (PHS)|
|Supply of Active Inventory (SAI)|
|Absorption Rate Index (ARI)|
|Recording Month*||10.8 Mo.||(Change)|
|Month Previous*||9.3 Mo.||16.3%|
|► "Very Strongr" Buyer's Market - Chance of selling within 90 days ~ less than 29.6%|
|Days On Market (DOM)|
|Recording Month*||125 Days||(Change)|
|Month Previous*||106 Days||17.9%|
|Residential Homes - Median Price Sold (MPS)|
|Home Price Index (HPI)||85.3||$83,888 on Aug. 06 = 100.0|
|[* NOT SEASONALLY ADJUSTED - click chart icons below each KPI for seasonally adjusted data.]
Please note. Indicators are provided on a best-efforts, as-is basis as a free service. The MVHR is not audited and may may not be free of statistical, estimation, or omission errors. RE/MAX Valley Real Estate makes no claim regarding their usefulness or implications.
The TPM is calculated as the total of Current Month Sales plus the Sales of the previous 11 months divided by 12 mo.
The ARI is defined as The ratio of all properties that are Active, Contingent, and Pending as of the last day of the current month, to all properties Sold during the preceding 12 months, then multiplied by ‘12 Months’ to yield the monthly rate of inventory absorption.
We than calculate a 12 month moving average of the individual monthly absorption rates to give us a monthly Absorption Rate Index.
Note that the DOM, therefore, only represents time on market for properties that actually sold, and does not represent the entire market of homes still active or pending. For this reason the ARI or Absorption rate is often called the 'True DOM.'
Sales Price for the MVHR is reported as Median Home Price. The 'median' is found in a range of numbers by sorting the values of the data in order (highest to lowest) and then selecting the one square in the middle. Should the total number of values in the range be even, then the median is the mean (or mathematical average) of the two middle numbers. The median value usually presents a more accurate picture of the range distribution than a mean, especially when there are extreme variations in value which would otherwise tilt the data.