Welcome!

@DevOpsSummit Authors: Liz McMillan, Pat Romanski, Elizabeth White, Gopala Krishna Behara, Sridhar Chalasani

News Feed Item

September Foreclosure Activity Decreases 24 Percent From a Year Ago to Lowest Level Since December 2005

Q3 2016 Foreclosure Activity Down 10 Percent From a Year Ago; Average Time to Foreclose Down Annually for First Time in Report History; Share of Foreclosure Auctions Sold to Investors Back Above Pre-Recession Levels

IRVINE, CA --(Marketwired - October 13, 2016) - ATTOM Data Solutions, the nation's leading source for comprehensive housing data and the new parent company of RealtyTrac, today released its September and Q3 2016 U.S. Foreclosure Market Report™, which shows a total of 82,972 properties with foreclosure filings -- default notices, scheduled auctions or bank repossessions -- in September, down 13 percent from the previous month and down 24 percent from a year ago to the lowest level since December 2005.

There were a total of 293,190 U.S. properties with foreclosure filings in Q3 2016, up 4 percent from the previous quarter but down 10 percent from a year ago. It was the fourth consecutive quarter where foreclosure activity has decreased on a year-over-year basis.

"Foreclosure activity has been on a steady slide downward over the past six years, finally dropping back below pre-crisis levels in September," said Daren Blomquist, senior vice president at ATTOM Data Solutions. "While we've known that the national foreclosure problem has been dying a long, slow death for quite some time, the final nail in the coffin of the foreclosure crisis is the year-over-year decrease in the average foreclosure timeline nationwide that we saw in Q3 2016 -- the first time that's happened since we began tracking foreclosure timelines in Q1 2007.

"The decrease in the average foreclosure timeline indicates that banks have worked through the bulk of the legacy foreclosure backlog in most states -- with a few lingering exceptions -- and that most of the foreclosures being completed now are relatively recent defaults that are more efficiently progressing through the foreclosure pipeline," Blomquist added.

Average time to foreclose decreases annually for first time in report history
Properties foreclosed in Q3 2016 took an average of 625 days to complete foreclosure, down from 631 days in the previous quarter and down from 630 days a year ago -- the first year-over-year decrease since ATTOM began tracking average foreclosure timelines in Q1 2007.

The average time to foreclose decreased from a year ago in 19 states, including Nevada (down 22 percent), Massachusetts (down 22 percent), Michigan (down 21 percent), Oregon (down 20 percent), and Texas (down 20 percent).

States with the shortest foreclosure timelines for properties foreclosed in the third quarter were Virginia (196 days), New Hampshire (230 days), Texas (246 days), Minnesota (250 days), and Mississippi (253 days). All five states with the shortest foreclosure timelines employ the non-judicial foreclosure process.

New Jersey, Hawaii, New York, Florida, Illinois with longest foreclosure timelines
Counter to the national trend, the average time to foreclose in Q3 2016 increased from a year ago in 27 states, including Pennsylvania (up 28 percent), Wisconsin (up 25 percent), Maryland (up 22 percent), Arizona (up 21 percent), and Colorado (up 20 percent).

States with the longest average foreclosure timelines for properties foreclosed in the third quarter were New Jersey (1,262 days); Hawaii (1,241 days); New York (1,070 days); Florida (1,038 days); and Illinois (942 days). All five states with the longest foreclosure timelines primarily employ the judicial foreclosure process.

Delaware, New Jersey, Nevada post highest state foreclosure rates in September
The report showed a national foreclosure rate of one in every 1,600 U.S. properties with a foreclosure filing in September.

States with the highest foreclosure rates in September were Delaware (one in every 680 housing units with a foreclosure filing); New Jersey (one in every 691); Nevada (one in every 897); Illinois (one in every 946); and Florida (one in every 950).

Other states with foreclosure rates in the top 10 highest nationwide in September were Maryland (one in every 955 housing units with a foreclosure filing); South Carolina (one in every 1,049); Utah (one in every 1,258); Connecticut (one in every 1,290); and New Mexico (one in every 1,324).

Atlantic City, Rockford, Columbia post highest metro foreclosure rates in September
Among 216 metropolitan statistical areas with a population of at least 200,000, those with the highest foreclosure rates in September were Atlantic City, New Jersey (one in every 375 housing units with a foreclosure filing); Rockford, Illinois (one in every 597); Columbia, South Carolina (one in every 629); Tampa-St. Petersburg, Florida (one in every 710); and Jacksonville, Florida (one in every 722).

Other metro areas with foreclosure rates in the top 10 highest in September were Medford, Oregon (one in every 742 housing units with a foreclosure filing); Lakeland-Winter Haven, Florida (one in every 755); Chicago (one in every 767); Philadelphia (one in every 771); and Bakersfield, California (one in every 778).

September foreclosure starts drop to more than 11-year low
A total of 34,685 properties started the foreclosure process in September, down 13 percent from the previous month and down 20 percent from a year ago to the lowest level since May 2005 -- a more than 11-year low.

Counter to the national trend, 18 states posted year-over-year increases in foreclosure starts in September, including Arkansas (up 156 percent); Delaware (up 115 percent); Maryland (up 87 percent); Utah (up 63 percent); and Oklahoma (up 47 percent).

September bank repossessions decrease 32 percent from year ago
There were 27,514 properties repossessed by lenders (REO) in September, down 12 percent from the previous month and down 32 percent from a year ago to the lowest level since February 2015.

Counter to the national trend, nine states posted a year-over-year increase in REO activity in September, including Arizona (up 44 percent); Massachusetts (up 40 percent); Washington (up 18 percent); Connecticut (up 16 percent); and California (up 12 percent).

Investors purchase 44 percent of properties sold at foreclosure auction in Q3 2016
Third-party investors purchased 44 percent of all properties sold at foreclosure auction in the third quarter, with the remaining 56 percent transferring back to the foreclosing lender at the auction.

The 44 percent sold to third-party investors was the highest share going back as far as Q1 2000 -- the earliest data is available -- and well above the pre-recession peak of 30 percent in Q2 2005.

Of the properties sold to third-party investors at the foreclosure auction in Q3 2016, 38 percent were sold to institutional investors, defined as entities purchasing at least 10 properties in a calendar year. That was up from 32 percent in the previous quarter and 26 percent a year ago but still below the peak of 70 percent in Q2 2009.

Report methodology
The ATTOM Data Solutions U.S. Foreclosure Market Report provides a count of the total number of properties with at least one foreclosure filing entered into the ATTOM Data Warehouse during the month -- broken out by type of filing. Some foreclosure filings entered into the database during the month may have been recorded in previous months. Data is collected from more than 2,200 counties nationwide, and those counties account for more than 90 percent of the U.S. population. ATTOM's report incorporates documents filed in all three phases of foreclosure: Default - Notice of Default (NOD) and Lis Pendens (LIS); Auction - Notice of Trustee's Sale and Notice of Foreclosure Sale (NTS and NFS); and Real Estate Owned, or REO properties (that have been foreclosed on and repurchased by a bank). The report does not count a property again if it receives the same type of foreclosure filing multiple times within the estimated foreclosure timeframe for the state where the property is located.

                                                                            
             Foreclosure Market Data by State - September 2016              
                                                                            
----------------------------------------------------------------------------
                                Properties with Foreclosure Filings         
----------------------------------------------------------------------------
 Rate                                                                       
 Rank    State Name       NOD      LIS      NTS      NFS      REO     Total 
----------------------------------------------------------------------------
   -- U.S.                5,118   16,750   15,950   17,640   27,514   82,972
----------------------------------------------------------------------------
   13 Alabama                 0        0      763        0      650    1,413
----------------------------------------------------------------------------
   45 Alaska                  2        0       31        0       38       71
----------------------------------------------------------------------------
   14 Arizona                 0        0      700        0    1,043    1,743
----------------------------------------------------------------------------
   29 Arkansas                0        0      343        0      231      574
----------------------------------------------------------------------------
   18 California          3,247        1    2,232        0    2,567    8,047
----------------------------------------------------------------------------
   41 Colorado              146        0      293        0      214      653
----------------------------------------------------------------------------
    9 Connecticut             0      670        0      159      326    1,155
----------------------------------------------------------------------------
    1 Delaware                0      252        0      262       91      605
----------------------------------------------------------------------------
      District of             1        0      101        0       20      122
      Columbia                                                              
----------------------------------------------------------------------------
    5 Florida                 0    3,008        0    3,070    3,448    9,526
----------------------------------------------------------------------------
   15 Georgia                 0        0    1,560        0      912    2,472
----------------------------------------------------------------------------
   31 Hawaii                  0       65       19       60       71      215
----------------------------------------------------------------------------
   44 Idaho                   2        0       68        0       86      156
----------------------------------------------------------------------------
    4 Illinois                0    1,913        0    2,017    1,674    5,604
----------------------------------------------------------------------------
   19 Indiana                 0      291        0      883      466    1,640
----------------------------------------------------------------------------
   36 Iowa                    0       88        0      236      177      501
----------------------------------------------------------------------------
   38 Kansas                  0      193        0      185       60      438
----------------------------------------------------------------------------
   40 Kentucky                0      150        0      326      152      628
----------------------------------------------------------------------------
   32 Louisiana               0        0        0      515      299      814
----------------------------------------------------------------------------
   25 Maine                   0      198        0      126       33      357
----------------------------------------------------------------------------
    6 Maryland                0      976        0      867      670    2,513
----------------------------------------------------------------------------
   24 Massachusetts           0      695        0      432      453    1,580
----------------------------------------------------------------------------
   30 Michigan                0        0    1,105        0      828    1,933
----------------------------------------------------------------------------
   43 Minnesota               0        0      296        0      379      675
----------------------------------------------------------------------------
   42 Mississippi             0        0      210        0      162      372
----------------------------------------------------------------------------
   26 Missouri                0        0      571        0      719    1,290
----------------------------------------------------------------------------
   46 Montana                 0        0       37        0       33       70
----------------------------------------------------------------------------
   34 Nebraska              111        0       76       42       84      313
----------------------------------------------------------------------------
    3 Nevada                440       21      420        0      440    1,321
----------------------------------------------------------------------------
   35 New Hampshire           0        0      173        0       57      230
----------------------------------------------------------------------------
    2 New Jersey              0    1,854        0    2,080    1,233    5,167
----------------------------------------------------------------------------
   10 New Mexico              0      250        0      290      145      685
----------------------------------------------------------------------------
   20 New York                0    2,455        0    1,109    1,157    4,721
----------------------------------------------------------------------------
   17 North Carolina        863        0      758        0      950    2,571
----------------------------------------------------------------------------
   49 North Dakota            0       11        0        5        4       20
----------------------------------------------------------------------------
   11 Ohio                    0    1,083        0    1,489    1,229    3,801
----------------------------------------------------------------------------
   22 Oklahoma                0      316        0      356      286      958
----------------------------------------------------------------------------
   16 Oregon                  0       53      287      347      320    1,007
----------------------------------------------------------------------------
   12 Pennsylvania            0      867        0    1,749    1,090    3,706
----------------------------------------------------------------------------
   21 Rhode Island            0        0      136        0      129      265
----------------------------------------------------------------------------
    7 South Carolina          0      929        0      769      362    2,060
----------------------------------------------------------------------------
   48 South Dakota            0        0        0       17        9       26
----------------------------------------------------------------------------
   33 Tennessee               0        0      474        0      674    1,148
----------------------------------------------------------------------------
   27 Texas                   0       25    3,114        0    1,686    4,825
----------------------------------------------------------------------------
    8 Utah                  306        0      342        0      147      795
----------------------------------------------------------------------------
   47 Vermont                 0        0        7        5       21       33
----------------------------------------------------------------------------
   28 Virginia                0        0    1,027        0      461    1,488
----------------------------------------------------------------------------
   23 Washington              0       81      705        1      856    1,643
----------------------------------------------------------------------------
   50 West Virginia           0        0       22        0       31       53
----------------------------------------------------------------------------
   39 Wisconsin               0      305        0      243      324      872
----------------------------------------------------------------------------
   37 Wyoming                 0        0       80        0       17       97
----------------------------------------------------------------------------
                                                                            
       Foreclosure Market Data by State - Q3 2016                           
                                                                            
----------------------------------------------------------------------------
                               Properties with Foreclosure Filings          
----------------------------------------------------------------------------
 Rate                                                                       
 Rank    State Name       NOD      LIS      NTS      NFS      REO     Total 
----------------------------------------------------------------------------
   -- U.S.               15,987   55,323   43,916   48,824  129,140  293,190
----------------------------------------------------------------------------
   16 Alabama                 0        0    1,634        0    3,320    4,954
----------------------------------------------------------------------------
   46 Alaska                  1        0       45        0      107      153
----------------------------------------------------------------------------
    3 Arizona                 0        0    2,472        0    9,149   11,621
----------------------------------------------------------------------------
   39 Arkansas                0        0      632        0      747    1,379
----------------------------------------------------------------------------
   12 California         10,808        1    6,491        0   15,822   33,122
----------------------------------------------------------------------------
   37 Colorado              466        0      981        0      970    2,417
----------------------------------------------------------------------------
   14 Connecticut             0    2,031       71      427    1,047    3,576
----------------------------------------------------------------------------
    2 Delaware                0      797       11      724      311    1,843
----------------------------------------------------------------------------
      District of             1        0      231        0       60      292
      Columbia                                                              
----------------------------------------------------------------------------
    7 Florida                 0   10,804      352    8,566   11,593   31,315
----------------------------------------------------------------------------
   17 Georgia                 0        0    3,833        0    4,622    8,455
----------------------------------------------------------------------------
   26 Hawaii                  0      306       41      199      258      804
----------------------------------------------------------------------------
   38 Idaho                 315        0      158        0      239      712
----------------------------------------------------------------------------
    6 Illinois                0    5,713      282    5,080    8,245   19,320
----------------------------------------------------------------------------
   20 Indiana                 0    1,083      119    2,388    1,704    5,294
----------------------------------------------------------------------------
   31 Iowa                    0      601       27      589      509    1,726
----------------------------------------------------------------------------
   40 Kansas                  0      342       13      589      305    1,249
----------------------------------------------------------------------------
   35 Kentucky                0      500       32      992      713    2,237
----------------------------------------------------------------------------
   36 Louisiana               0      273       44    1,080      887    2,284
----------------------------------------------------------------------------
   27 Maine                   0      656       14      261      174    1,105
----------------------------------------------------------------------------
    4 Maryland                0    2,785      318    3,217    2,766    9,086
----------------------------------------------------------------------------
   18 Massachusetts           0    2,421      115    1,522    1,577    5,635
----------------------------------------------------------------------------
   29 Michigan                0        0    2,817        0    3,919    6,736
----------------------------------------------------------------------------
   42 Minnesota               0        0      958        0    1,209    2,167
----------------------------------------------------------------------------
   44 Mississippi             0        0      416        0      442      858
----------------------------------------------------------------------------
   28 Missouri                0        0    1,602        0    2,519    4,121
----------------------------------------------------------------------------
   48 Montana                 0        0      102        0       85      187
----------------------------------------------------------------------------
   41 Nebraska              205        0      145      142      247      739
----------------------------------------------------------------------------
    5 Nevada              1,524       45    1,221        0    1,555    4,345
----------------------------------------------------------------------------
   33 New Hampshire           0        0      470        0      295      765
----------------------------------------------------------------------------
    1 New Jersey              0    6,892      217    5,757    6,589   19,455
----------------------------------------------------------------------------
   15 New Mexico              0      876       36      698      529    2,139
----------------------------------------------------------------------------
   19 New York                0    8,080      205    3,159    4,616   16,060
----------------------------------------------------------------------------
   24 North Carolina      1,885        0    2,104        0    2,968    6,957
----------------------------------------------------------------------------
   50 North Dakota            0       25        0        8       31       64
----------------------------------------------------------------------------
   10 Ohio                    0    3,447      155    4,365    7,280   15,247
----------------------------------------------------------------------------
   22 Oklahoma                0      950       53    1,065      890    2,958
----------------------------------------------------------------------------
   23 Oregon                  0      248      786      695    1,159    2,888
----------------------------------------------------------------------------
   11 Pennsylvania            0    2,686      196    4,575    6,553   14,010
----------------------------------------------------------------------------
   21 Rhode Island            0        0      418        0      414      832
----------------------------------------------------------------------------
    8 South Carolina          0    2,474       65    1,775    2,471    6,785
----------------------------------------------------------------------------
   49 South Dakota            0        0        0       39       36       75
----------------------------------------------------------------------------
    9 Tennessee               0        0    1,190        0    7,545    8,735
----------------------------------------------------------------------------
   32 Texas                   0       72    6,705        8    5,890   12,675
----------------------------------------------------------------------------
   13 Utah                  782        0      718        0      902    2,402
----------------------------------------------------------------------------
   45 Vermont                 0        0       19       15      139      173
----------------------------------------------------------------------------
   30 Virginia                0        0    3,278        0    1,661    4,939
----------------------------------------------------------------------------
   25 Washington              0      193    1,877        3    2,508    4,581
----------------------------------------------------------------------------
   47 West Virginia           0        0       84        0      266      350
----------------------------------------------------------------------------
   34 Wisconsin               0    1,022       44      886    1,216    3,168
----------------------------------------------------------------------------
   43 Wyoming                 0        0      119        0       81      200
----------------------------------------------------------------------------
                                                                            
                                              
 Foreclosure Market Data by State - September 
                     2016                     
                                              
----------------------------------------------
        Properties with Foreclosure Filings   
----------------------------------------------
                                              
 Rate  1/every X  % Change from  % Change from
 Rank  HU (rate)     Aug-16         Sept-15   
----------------------------------------------
   --      1,600         -12.78         -23.97
----------------------------------------------
   13      1,550           1.80           9.28
----------------------------------------------
   45      4,335         162.96         -35.45
----------------------------------------------
   14      1,649           5.76          15.43
----------------------------------------------
   29      2,316          28.99          18.11
----------------------------------------------
   18      1,713         -20.61         -11.14
----------------------------------------------
   41      3,428         -33.23         -28.40
----------------------------------------------
    9      1,290          -1.37           2.58
----------------------------------------------
    1        680           9.80          59.21
----------------------------------------------
           2,466           7.02         269.70
----------------------------------------------
    5        950         -12.82         -33.37
----------------------------------------------
   15      1,664          -6.75         -44.56
----------------------------------------------
   31      2,441         -23.21         -20.66
----------------------------------------------
   44      4,330         -50.48         -56.30
----------------------------------------------
    4        946          -5.40         -12.55
----------------------------------------------
   19      1,714         -18.65         -43.25
----------------------------------------------
   36      2,691         -29.93         -23.28
----------------------------------------------
   38      2,832         -22.20         -41.05
----------------------------------------------
   40      3,087         -33.40          -9.64
----------------------------------------------
   32      2,443          32.79         -47.65
----------------------------------------------
   25      2,030         -10.30           7.85
----------------------------------------------
    6        955         -34.52          -1.84
----------------------------------------------
   24      1,783         -15.33         -12.12
----------------------------------------------
   30      2,345          -9.46         -40.83
----------------------------------------------
   43      3,502         -26.55         -36.14
----------------------------------------------
   42      3,454          26.10          29.17
----------------------------------------------
   26      2,111          -5.22         -20.22
----------------------------------------------
   46      6,954           9.38          48.94
----------------------------------------------
   34      2,573           8.30          13.00
----------------------------------------------
    3        897          -9.52         -37.72
----------------------------------------------
   35      2,684         -14.81         -33.14
----------------------------------------------
    2        691         -21.05         -34.55
----------------------------------------------
   10      1,324         -14.27          -8.67
----------------------------------------------
   20      1,727         -19.17         -23.50
----------------------------------------------
   17      1,706          -8.54         -31.44
----------------------------------------------
   49     16,601          17.65          33.33
----------------------------------------------
   11      1,351         -21.58         -35.50
----------------------------------------------
   22      1,754         -14.00          -2.54
----------------------------------------------
   16      1,674           8.86         -23.94
----------------------------------------------
   12      1,505         -14.19         -10.70
----------------------------------------------
   21      1,747         -15.61          11.81
----------------------------------------------
    7      1,049           1.83         -13.59
----------------------------------------------
   48     14,199         -33.33         -43.48
----------------------------------------------
   33      2,473         -12.17         -38.68
----------------------------------------------
   27      2,111          20.84         -19.15
----------------------------------------------
    8      1,258         -27.26          18.30
----------------------------------------------
   47      9,828           0.00         -25.00
----------------------------------------------
   28      2,287         -25.79         -29.08
----------------------------------------------
   23      1,778          25.71         -20.78
----------------------------------------------
   50     16,664         -52.68         -51.82
----------------------------------------------
   39      3,022         -34.44         -48.89
----------------------------------------------
   37      2,734          67.24         106.38
----------------------------------------------
                                              
Foreclosure Market Data by State - Q3 2016    
                                              
----------------------------------------------
        Properties with Foreclosure Filings   
----------------------------------------------
                                              
 Rate  1/every X  % Change from  % Change from
 Rank  HU (rate)     Aug-16         Sept-15   
----------------------------------------------
   --        453           4.34         -10.41
----------------------------------------------
   16        442          22.05          20.30
----------------------------------------------
   46      2,012         -35.71         -51.43
----------------------------------------------
    3        247         117.66         142.21
----------------------------------------------
   39        964           0.44           2.45
----------------------------------------------
   12        416          28.56          13.42
----------------------------------------------
   37        926          -2.26         -20.34
----------------------------------------------
   14        417          -4.26          12.42
----------------------------------------------
    2        223           7.53          74.03
----------------------------------------------
           1,030          20.66         194.95
----------------------------------------------
    7        289          -8.38         -35.38
----------------------------------------------
   17        487          11.56         -30.33
----------------------------------------------
   26        653          -7.59           6.77
----------------------------------------------
   38        949          -9.07         -48.33
----------------------------------------------
    6        274          12.69           2.46
----------------------------------------------
   20        531         -24.13         -33.32
----------------------------------------------
   31        781         -14.21         -25.18
----------------------------------------------
   40        993           5.40         -30.76
----------------------------------------------
   35        867          -4.97         -11.51
----------------------------------------------
   36        871         -18.78         -38.87
----------------------------------------------
   27        656          -5.96          16.81
----------------------------------------------
    4        264         -16.35         -16.32
----------------------------------------------
   18        500          -9.19          11.87
----------------------------------------------
   29        673         -12.59         -29.12
----------------------------------------------
   42      1,091         -29.02         -34.59
----------------------------------------------
   44      1,497          14.86          -8.72
----------------------------------------------
   28        661          20.89         -12.86
----------------------------------------------
   48      2,603         -13.43          42.75
----------------------------------------------
   41      1,090         -13.87           7.26
----------------------------------------------
    5        273           7.95         -28.37
----------------------------------------------
   33        807         -10.42         -17.21
----------------------------------------------
    1        184          -0.50          -6.52
----------------------------------------------
   15        424          -3.95         -23.61
----------------------------------------------
   19        508          -5.93          -7.45
----------------------------------------------
   24        630         -14.34         -39.48
----------------------------------------------
   50      5,188         300.00          88.24
----------------------------------------------
   10        337           2.84          -0.55
----------------------------------------------
   22        568          13.07           5.30
----------------------------------------------
   23        584           8.21         -27.58
----------------------------------------------
   11        398          10.59           3.20
----------------------------------------------
   21        556         -19.54          56.98
----------------------------------------------
    8        318           7.02          -1.51
----------------------------------------------
   49      4,922           4.17         -49.66
----------------------------------------------
    9        325          76.93          42.85
----------------------------------------------
   32        804           3.53         -17.59
----------------------------------------------
   13        416          36.01          10.49
----------------------------------------------
   45      1,875          45.38          10.90
----------------------------------------------
   30        689          -7.37         -10.77
----------------------------------------------
   25        638          -3.03         -26.08
----------------------------------------------
   47      2,523           5.42           6.06
----------------------------------------------
   34        832         -22.43         -39.08
----------------------------------------------
   43      1,326         -31.97          -7.41
----------------------------------------------
                                              

Report License
The ATTOM Data Solutions U.S. Foreclosure Market Report is the result of a proprietary evaluation of information compiled by ATTOM; the report and any of the information in whole or in part can only be quoted, copied, published, re-published, distributed and/or re-distributed or used in any manner if the user specifically references ATTOM Data Solutions as the source for said report and/or any of the information set forth within the report.

Data Licensing and Custom Report Order
Investors, businesses and government institutions can contact ATTOM Data Solutions to license bulk foreclosure and neighborhood data or purchase customized reports. For more information please contact our Data Licensing Department at 800.462.5193 or [email protected].

About ATTOM Data Solutions
ATTOM Data Solutions is the curator of the ATTOM Data Warehouse, a multi-sourced national property database that aggregates property tax, deed, mortgage, foreclosure, environmental risk, natural hazard, health hazards, neighborhood characteristics and other property characteristic data for more than 150 million U.S. properties. The ATTOM Data Warehouse delivers actionable data to businesses, consumers, government agencies, universities, policymakers and the media in multiple ways, including bulk file licenses, APIs and customized reports.

ATTOM Data Solutions also powers consumer websites designed to promote real estate transparency: RealtyTrac.com is a property search and research portal for foreclosures and other off-market properties; Homefacts.com is a neighborhood research portal providing hyperlocal risks and amenities information; HomeDisclosure.com produces detailed property pre-diligence reports.

ATTOM Data and its associated brands are cited by thousands of media outlets each month, including frequent mentions on CBS Evening News, The Today Show, CNBC, CNN, FOX News, PBS NewsHour and in The New York Times, Wall Street Journal, Washington Post, and USA TODAY.

Image Available: http://www.marketwire.com/library/MwGo/2016/10/12/11G117807/Images/US_FC_Activity_-_Spet16-eddcaf00784e97729a793cd10a3f840f.jpg

ATTOM Data Solutions Media Contact:
Jennifer von Pohlmann
949.502.8300, ext. 139
[email protected]

Data and Report Licensing:

800.462.5193
[email protected]

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

@DevOpsSummit Stories
SYS-CON Events announced today that Evatronix will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
As many know, the first generation of Cloud Management Platform (CMP) solutions were designed for managing virtual infrastructure (IaaS) and traditional applications. But that's no longer enough to satisfy evolving and complex business requirements. In his session at 21st Cloud Expo, Scott Davis, Embotics CTO, explored how next-generation CMPs ensure organizations can manage cloud-native and microservice-based application architectures, while also facilitating agile DevOps methodology. He explained how automation, orchestration and governance are fundamental to managing today's hybrid cloud environments and are critical for digital businesses to deliver services faster, with better user experience and higher quality, all while saving money.
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone innovative products that help customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business and personal computing needs.
DevOps promotes continuous improvement through a culture of collaboration. But in real terms, how do you: Integrate activities across diverse teams and services? Make objective decisions with system-wide visibility? Use feedback loops to enable learning and improvement? With technology insights and real-world examples, in his general session at @DevOpsSummit, at 21st Cloud Expo, Andi Mann, Chief Technology Advocate at Splunk, explored how leading organizations use data-driven DevOps to close their feedback loops to drive continuous improvement.
Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams. In his session at 22nd Cloud Expo | DXWorld Expo, Daniel Jones, CTO of EngineerBetter, will answer: How can we improve willpower and decrease technical debt? Is the present bias real? How can we turn it to our advantage? Can you increase a team’s effective IQ? How do DevOps & Product Teams increase empathy, and what impact does empathy have on productivity?
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the benefits of the cloud without losing performance as containers become the new paradigm.
You know you need the cloud, but you're hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You're looking at private cloud solutions based on hyperconverged infrastructure, but you're concerned with the limits inherent in those technologies. What do you do?
Sanjeev Sharma Joins June 5-7, 2018 @DevOpsSummit at @Cloud Expo New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
The 22nd International Cloud Expo | 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo | DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal today!
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throughout enterprises of all sizes.
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, which can process our conversational commands and orchestrate the outcomes we request across our personal and professional realm of connected devices.
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It’s clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. That means serverless is also changing the way we leverage public clouds. Truth-be-told, many enterprise IT shops were so happy to get out of the management of physical servers within a data center that many limitations of the existing public IaaS clouds were forgiven. However, now that we’ve lived a few years with public IaaS clouds, developers and CloudOps pros are giving a huge thumbs down to the ...
Digital transformation is about embracing digital technologies into a company's culture to better connect with its customers, automate processes, create better tools, enter new markets, etc. Such a transformation requires continuous orchestration across teams and an environment based on open collaboration and daily experiments. In his session at 21st Cloud Expo, Alex Casalboni, Technical (Cloud) Evangelist at Cloud Academy, explored and discussed the most urgent unsolved challenges to achieve full cloud literacy in the enterprise world.
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering management. To date, IBM has launched more than 50 cloud data centers that span the globe. He has been building advanced technology, delivering “as a service” solutions, and managing infrastructure services for the past 20 years.
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol, we have been able to solve many of these problems at the communication layer. This makes it possible to create rich application experiences and support use-cases such as mobile-to-mobile communication and large file transfers that would be difficult or cost-prohibitive with traditional networking.
Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, and is gaining rapid adoption in enterprises. However, Kubernetes may seem intimidating and complex to learn. This is because Kubernetes is more of a toolset than a ready solution. Hence it’s essential to know when and how to apply the appropriate Kubernetes constructs.
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and infrastructure as a service.
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and infrastructure as a service.
DevOps at Cloud Expo – being held June 5-7, 2018, at the Javits Center in New York, NY – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Among the proven benefits, DevOps is correlated with 20% faster time-to-market, 22% improvement in quality, and 18% reduction in dev and ops costs, according to research firm Vanson-Bourne. It is changing the way IT works, how businesses interact with customers, and how organizations are buying, building, and delivering software.
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud.
@DevOpsSummit at Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, is co-located with 22nd Cloud Expo | 1st DXWorld Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
SYS-CON Events announced today that T-Mobile exhibited at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. As America's Un-carrier, T-Mobile US, Inc., is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The Company's advanced nationwide 4G LTE network delivers outstanding wireless experiences to 67.4 million customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile US provides services through its subsidiaries and operates its flagship brands, T-Mobile and MetroPCS. For more information, visit https://www.t-mobile.com.
SYS-CON Events announced today that Cedexis will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Cedexis is the leader in data-driven enterprise global traffic management. Whether optimizing traffic through datacenters, clouds, CDNs, or any combination, Cedexis solutions drive quality and cost-effectiveness. For more information, please visit https://www.cedexis.com.
SYS-CON Events announced today that Google Cloud has been named “Keynote Sponsor” of SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Companies come to Google Cloud to transform their businesses. Google Cloud’s comprehensive portfolio – from infrastructure to apps to devices – helps enterprises innovate faster, scale smarter, stay secure, and do more with data than ever before.