April 2018 Foreclosure Starts Dataset

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Where are Foreclosures Starting to Become Prevalent?

Every month ATTOM Data Solutions sifts through millions of records to find properties that have received an initial foreclosure notice (NOD, LIS), received a notice scheduling a public auction (NTS, NFS) or has now completed the foreclosure process (REO). In doing so, ATTOM Data is able to look at those counties where Foreclosure Starts (the first public foreclosure notice, which can be a notice of default, a lis pendens, or a notice of trustee sale depending on the state where the property is located) are becoming more prevalent to uncover possible trends in the market or understand how events (i.e. natural hazards, politics or man-made hazards) can possibly dictate the housing market. If you are interested in learning more about our foreclosure reporting, click here.

For instance, St. Joseph County in Indian saw an annual increase of 3,000 percent in foreclosure starts from April 2017. What could have caused this large increase? Below is just a small sample of some of the counties in the Nation where foreclosure starts either increased drastically from last year:

April 2018 Foreclosure Starts by County

StateCountyMSADefaultAuctionStartsDefaultAuctionStartsYoY Pct Change
IndianaSt JosephSouth Bend-Mishawaka, IN-MI117         13127      313000%
IndianaMarionIndianapolis-Carmel-Anderson, IN5146         5111128    1112120%
LouisianaCalcasieuLake Charles, LA01         1019      191800%
TexasSmithTyler, TX01         1019      191800%
MichiganLenaweeAdrian, MI01         1017      171600%
TexasTaylorAbilene, TX01         1015      151400%
North CarolinaNew HanoverWilmington, NC26         22513      251150%
New MexicoOteroAlamogordo, NM19         1126      121100%
IndianaJasperChicago-Naperville-Elgin, IL-IN-WI113         1112      111000%
MichiganLivingstonDetroit-Warren-Dearborn, MI01         1011      111000%

Want to see if you can spot any trends in the data? ATTOM Data has this real estate foreclosure data going back at least 10 years.

Contact us to see how you can acquire this dataset!

Please contact us if you have questions about the underlying data referenced in this article, or would like to have access to that data in the form of custom reports, API, Bulk File or DaaS.

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