9.3 Percent of U.S. Properties Seriously Underwater in Q2 2018
Editor’s Note: This article was updated on Aug. 27, 2018, with revised data. Contact email@example.com for details of the revisions.
IRVINE, Calif. — Aug. 9, 2018 — ATTOM Data Solutions, curator of the nation’s premier property database, today released its Q2 2018 U.S. Home Equity & Underwater Report, which shows that in the second quarter of 2018, more than 5.1 million U.S. properties were seriously underwater — where the combined estimated balance of loans secured by the property was at least 25 percent higher than the property’s estimated market value — representing 9.3 percent of all U.S. properties with a mortgage.
The report also shows that more than 13.9 million U.S. properties in Q2 2018 were equity rich — where the combined estimated balance of loans secured by the property was 50 percent or less of the property’s estimated market value — representing 24.9 percent of all U.S. properties with a mortgage.
“The share of seriously underwater properties has dropped well below 10 percent in bellwether housing markets such as California, Washington, Texas, Colorado and New York, but the underwater rate remains stubbornly high in markets where price appreciation has not been as strong during the housing recovery of the last six years,” said Daren Blomquist, senior vice president with ATTOM Data Solutions. “Nationwide the number of equity rich homeowners is more than twice the number of seriously underwater homeowners, but the gap between home equity haves and have-nots persists because home price appreciation is certainly not uniform across local markets or even within local markets.”
Highest seriously underwater share in Mississippi, Louisiana, Illinois, Iowa, , Ohio
States with the highest share of seriously underwater properties were Mississippi (22.6 percent); Louisiana (20.8 percent); Illinois (15.9 percent); Iowa (15.9 percent); and Ohio (15.8 percent).
Among 97 metropolitan statistical areas analyzed in the report, those with the highest share of seriously underwater properties were Baton Rouge, Louisiana (20.8 percent); Memphis, Tennessee (20.5 percent); Youngstown, Ohio (19.5 percent); Scranton, Pennsylvania (19.5 percent); and Toledo, Ohio (18.9 percent).
39 zip codes where more than half of all properties are seriously underwater
Among 7,290 U.S. zip codes with at least 2,500 properties with loans, there were 39 zip codes where more than half of all properties with a mortgage were seriously underwater, including zip codes in the Trenton, New Jersey, St. Louis, Missouri, Chicago, Illinois, Cleveland, Ohio, and Rockford, Illinois metro areas.
The top five zip codes with the highest share of seriously underwater properties were 08611 in Trenton, New Jersey (71.1 percent seriously underwater); 63137 in Saint Louis, Missouri (67.3 percent); 60426 in Harvey, Illinois (65.4 percent); 44110 in Cleveland, Ohio (65.3 percent); and 61104 in Rockford, Illinois (64.0 percent).
Highest equity rich share in California, Hawaii, Washington, New York, Oregon
States with the highest share of equity rich properties were California (43.5 percent); Hawaii (39.1 percent); Washington (35.0 percent); New York (33.9 percent); and Oregon (32.8 percent).
Among 97 metropolitan statistical areas analyzed in the report, those with the highest share of equity rich properties were San Jose, California (71.0 percent); San Francisco, California (60.4 percent); Los Angeles, California (47.8 percent); Seattle, Washington (41.5 percent); and Honolulu, Hawaii (40.5 percent).
436 zip codes where more than half of all properties are equity rich
Among 7,290 U.S. zip codes with at least 2,500 properties with loans, there were 436 zip codes where more than half of all properties with a mortgage were equity rich, including zip codes in New York City, Los Angeles, San Francisco, Dallas-Fort Worth, and Denver.
The top five zip codes with the highest share of equity rich properties were all in the California Bay area: 94116 in San Francisco (85.9 percent equity rich); 94086 in Sunnyvale (84.3 percent equity rich); 94040 in Mountain View (84.3 percent equity rich); 94087 in Sunnyvale (84.3 percent equity rich); and 94122 in San Francisco (84.2 percent equity rich).
The ATTOM Data Solutions U.S. Home Equity & Underwater report provides counts of properties based on several categories of equity — or loan to value (LTV) — at the state, metro, county and zip code level, along with the percentage of total properties with a mortgage that each equity category represents. The equity/LTV is calculated based on record-level loan model estimating position and balance of loans secured by a property and a record-level automated valuation model (AVM) derived from publicly recorded mortgage and deed of trust data collected and licensed by ATTOM Data Solutions nationwide for more than 150 million U.S. properties.
Seriously underwater: Loan to value ratio of 125 percent or above, meaning the property owner owed at least 25 percent more than the estimated market value of the property.
Equity rich: Loan to value ratio of 50 percent or lower, meaning the property owner had at least 50 percent equity.
About ATTOM Data Solutions
ATTOM Data Solutions provides premium property data to power products that improve transparency, innovation, efficiency and disruption in a data-driven economy. ATTOM multi-sources property tax, deed, mortgage, foreclosure, environmental risk, natural hazard, and neighborhood data for more than 155 million U.S. residential and commercial properties covering 99 percent of the nation’s population. A rigorous data management process involving more than 20 steps validates, standardizes and enhances the data collected by ATTOM, assigning each property record with a persistent, unique ID — the ATTOM ID. The 9TB ATTOM Data Warehouse fuels innovation in many industries including mortgage, real estate, insurance, marketing, government and more through flexible data delivery solutions that include bulk file licenses, APIs, market trends, marketing lists, match & append and more.
Data and Report Licensing:
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.