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STAT, PPI and STAT+


STAT, the ARMLS® monthly statistical newsletter,
provides Subscribers with a lucid and timely view of what is happening to the residential market in the Valley. It is billed as THE Numbers - FAST because, unlike statistics compiled by other entities, it does not rely on data from third parties delivered thirty to ninety days late.

 

STAT’s focus is on Sales and Active inventory, year over year and month over month, including details on sales prices and listing prices, foreclosures, pending, distressed sales, Days on Market, Month Supply of Inventory and a short commentary.

 

The ARMLS Pending Price Index™ predicts future average and median prices based on reporting of contracts executed but not closed.  The Index is available ONLY through ARMLS, as in no other statistics reporting entity has access to pending data inside MLS. This unique predictive tool is made available to Subscribers in a PDF format for easy distribution at listing presentations or on a Subscriber's blog or website.

 

The PPI Supplements analyze pending properties added to the  MLS system in the current month only, focusing on average and median prices, total units, % of total units for that month and price per square foot in specific price ranges .  It then compares the current month pendings with pendings from the preceding three months.

 

In February 2011, ARMLS® introduced the quarterly publication, STAT+, as a companion to its regular monthly statistical publications.  STAT+ focuses on the average Days on Market (DOM) and Months Supply of Inventory (MSI) for single family residential housing at various price points in the flexmls system.  

 

 

STAT Year in Review reports retrospectively on the state of the Valley’s residential market over the last last calendar year. Year in Review is published in late January each year.

STAT 2012 Year in Review

STAT 2011 Year in Review

 

 

 

STAT                            

ARMLS PPI™      

        STAT Plus
       
May   2013   May   2013      
Apr   2013   Apr   2013    Q1  2013
Mar   2013   Mar   2013      
Feb   2013   Feb    2013      
Jan   2013   Jan    2013    Q4  2012
Dec   2012
  Dec   2012
     
Nov   2012   Nov   2012
     
Oct   2012   Oct   2012    Q3  2012
Sept   2012   Sept   2012      
Aug   2012
  Aug   2012
     
July   2012   July   2012    Q2  2012
June   2012   June   2012      
May   2012   May   2012      
Apr   2012   Apr    2012    Q1   2012
Mar    2012   Mar    2012      
Feb    2012   Feb   2012      
Jan   2012   Jan    2012    Q4  2011
Dec   2011               Dec   2011                  
Nov   2011               Nov   2011                  
Oct   2011   Oct    2011    Q3  2011
Sept   2011         Sept    2011       
Aug   2011   Aug    2011      
July   2011   July    2011   Q2 2011 
June    2011   June    2011      
May   2011   May   2011      
April   2011   April   2011   Q1 2011
Mar   2011   Mar   2011      
Feb   2011   Feb   2011   Q4 2010
Jan   2011   Jan   2011      
Dec   2010   Dec   2010      
Nov   2010   Nov   2010      
Oct   2010   Oct   2010      
Sept   2010   Sept   2010      
Aug   2010   Aug   2010      
July   2010   July   2010      
June   2010   June   2010      
May   2010   May   2010      

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