There were more than 5.2 million seriously underwater properties representing 9.1 percent of all U.S. properties with a mortgage, according to the ATTOM Data Solutions Q1 2019 U.S. Home Equity & Underwater Report. The percent of properties underwater is down from 9.5 percent a year ago. There were over 14.4 million equity rich properties in the U.S., representing 25.1 percent with a mortgage, down slightly from 25.3 percent a year ago. In looking at the largest metro areas in the U.S., we found the top ZIPs that are drowning vs. those ZIPs where equity is saturated. Zips with the highest share of underwater homes and highest share of equity rich homes in the nation’s top 10 largest metros SINK or SWIM BIG DATA SANDBOX
Big Data Analysis: Where are the ZIPs that are drowning vs. those that are buoyant?
ZIP Equity Rich (LTV 50 or lower) 01220 90212 46373 75224 77023 19148 20015 33146 30312 94116
Metro Area
ZIP Seriously Underwater (LTV 125+)
07111 90210 60426 7523 1 77036 08104 20032 33401 30223 94115
Irvington, NJ 40.9%
Brooklyn, NY 76.9% Culver City, CA 77.8%
New York-Newark- Jersey City, NY-NJ-PA Los Angeles-Long Beach- Anaheim, CA Chicago-Naperville-Elgin, IL-IN-WI Philadelphia-Camden- Wilmington, PA-NJ-DE-MD Houston-The Woodlands- Sugar Land, TX Washington-Arlington- Alexandria, DC-VA-MD-WV Miami-Fort Lauderdale- West Palm Beach, FL Atlanta-Sandy Springs- Roswell, GA San Francisco-Oakland- Hayward, CA Dallas-Fort Worth- Arlington, TX
Beverly Hills, CA 25.2%
Dallas, TX 16.0% Harvey, IL 63.1%
St. John, IL 25.1% Dallas, TX 62.8% Houston, TX 61.2%
Camden, PA 58.0% Houston, TX 17.4%
Philadelphia, PA 29.6% Washington, DC 37.3%
Washington, DC 21.1%
West Palm Beach, FL 28.7%
Miami, FL 43.1% Atlanta, GA 30.8%
Griffin, GA 32.6%
San Francisco, CA 6.5%
San Francisco, CA 81.7%
*Includes ZIPs with 2,500 or more total loans in Q1 2019
METHODOLOGY The ATTOM Data Solutions U.S. Home Equity & Underwater report provides counts of residential 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 residential 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 155 million U.S. properties.
july 2019 23
Made with FlippingBook Online newsletter