Data Through Q3 2022
The CoreLogic Homeowner Equity Insights report, is published quarterly with coverage at the national, state and Core Based Statistical Area (CBSA)/Metro level and includes negative equity share and average equity gains. The report features an interactive view of the data using digital maps to examine CoreLogic homeowner equity analysis through the third quarter of 2022.
Negative equity, often referred to as being “underwater” or “upside down,” applies to borrowers who owe more on their mortgages than their homes are worth. Negative equity can occur because of a decline in home value, an increase in mortgage debt or both.
This data only includes properties with a mortgage. Non-mortgaged properties (that are owned outright) are not included.
Homeowner Equity Q3 2022
CoreLogic analysis shows U.S. homeowners with mortgages (roughly 63% of all properties*) have seen their equity increase by a total of over $2.2 trillion since the third quarter of 2021, a gain of 15.8% year over year.
*Homeownership mortgage source: 2020 American Community Survey.
Negative Equity Down From Q3 2022
In the third quarter of 2022, the total number of mortgaged residential properties with negative equity increased by 4% from the second quarter of 2022 to 1.1 million homes, or 1.9% of all mortgaged properties. On a year-over-year basis, negative equity fell by 9.8% from 1.2 million homes, or 2.2% of all mortgaged properties, in the third quarter of 2021.
Because home equity is affected by home price changes, borrowers with equity positions near (+/- 5%) the negative equity cutoff are most likely to move out of or into negative equity as prices change, respectively. Looking at the third quarter of 2022 book of mortgages, if home prices increase by 5%, 127,000 homes would regain equity; if home prices decline by 5%, 172,000 would fall underwater. The CoreLogic HPI Forecast TM projects home prices will increase by 3.9% from September 2022 to September 2023.
U.S. Home Equity Gains Slow Sharply From Q2 to Q3
Nationwide, annual home equity gains began to slow in the third quarter of 2022, with the average borrower netting $34,300, compared with the nearly $60,000 year-over-year gain recorded in the second quarter and an additional 43,000 properties falling underwater. The quarter-over-quarter decline in equity is partially due to slowing home price growth across the country, as annual appreciation fell from about 18% in June to just slightly more than 10% in October. As home price gains are projected to relax into single digits for the rest of 2022, then possibly move into negative territory by the spring of 2023, equity increases will likely slow accordingly in some parts of the country.
National Aggregate Value of Negative Equity: Q3 2022
The national aggregate value of negative equity was approximately $317.7 billion at the end of the third quarter of 2022. This is up quarter over quarter by approximately $13.2 billion, or 4.3%, from $304.5 billion in the second quarter of 2022 and up year over year by approximately $37 billion, or 13.2%, from $280.7 billion in the third quarter of 2021.
Negative equity peaked at 26% of mortgaged residential properties in the fourth quarter of 2009, based on the CoreLogic equity data analysis which began in the third quarter of 2009.
“At 43.6%, the average U.S. loan-to-value (LTV) ratio is only slightly higher than in the past two quarters and still significantly lower than the 71.3% LTV seen moving into the Great Recession in the first quarter of 2010. Therefore, today’s homeowners are in a much better position to weather the current housing slowdown and a potential recession than they were 12 years ago. Weakening housing demand and the resulting decline in home prices since the spring’s peak reduced annual home equity gains and pushed an additional number of properties underwater in the third quarter. Nevertheless, while these negative impacts are concentrated in Western states such as California, homeowners with a mortgage there still average more than $580,000 in home equity.”
Interim Lead of the Office of the Chief Economist
National Homeowner Equity
In the third quarter of 2022, the average homeowner gained approximately $34,300 in equity during the past year.
Florida, Hawaii and South Carolina experienced the largest average equity gains at $76,700, $61,500 and $48,000 respectively. Washington, D.C. was the only place in the country to see annual home equity losses, at $5,000.
10 Select Metros Change
CoreLogic provides homeowner equity data at the metropolitan level, in this graphic 10 of the largest cities, by housing stock are depicted.
Negative equity has seen a recent decrease across the country. Las Vegas is the least challenged with the negative equity share of all mortgages at 0.7%, followed by Los Angeles and San Francisco (both 0.8%).
Loan-to-Value Ratio (LTV)
The graph represents National Homeowner Equity Distribution across multiple LTV Segments.
CoreLogic began reporting homeowner equity data in the first quarter of 2010; at that time, the equity picture for homeowners was rather bleak in the United States. Since then, many homes have regained equity and the outstanding balance on the majority of mortgages in this country are now equal to or in a positive position when compared to their loan balance.
CoreLogic will continue to report on homeowner equity as it continues to adjust in communities and states across the country. To learn more about homeowner equity, visit the CoreLogic Insights page on www.corelogic.com.
The amount of equity for each property is determined by comparing the estimated current value of the property against the mortgage debt outstanding (MDO). If the MDO is greater than the estimated value, then the property is determined to be in a negative equity position. If the estimated value is greater than the MDO, then the property is determined to be in a positive equity position. The data is first generated at the property level and aggregated to higher levels of geography. CoreLogic uses public record data as the source of the MDO, which includes more than 50 million first- and second-mortgage liens, and is adjusted for amortization and home equity utilization in order to capture the true level of MDO for each property. Only data for mortgaged residential properties that have a current estimated value are included. There are several states or jurisdictions where the public record, current value or mortgage data coverage is thin and have been excluded from the analysis. These instances account for fewer than 5% of the total U.S. population. The percentage of homeowners with a mortgage is from the 2019 American Community Survey. Data for the previous quarter was revised. Revisions with public records data are standard, and to ensure accuracy, CoreLogic incorporates the newly released public data to provide updated results.
CoreLogic HPI Forecasts™ are based on a two-stage, error-correction econometric model that combines the equilibrium home price—as a function of real disposable income per capita—with short-run fluctuations caused by market momentum, mean-reversion, and exogenous economic shocks like changes in the unemployment rate. With a 30-year forecast horizon, CoreLogic HPI Forecasts project CoreLogic HPI levels for two tiers — “Single-Family Combined” (both attached and detached) and “Single-Family Combined Excluding Distressed Sales.” As a companion to the CoreLogic HPI Forecasts, Stress-Testing Scenarios align with Comprehensive Capital Analysis and Review (CCAR) national scenarios to project five years of home prices under baseline, adverse and severely adverse scenarios at state, metropolitan areas and ZIP Code levels. The forecast accuracy represents a 95% statistical confidence interval with a +/- 2% margin of error for the index.
The data provided are for use only by the primary recipient or the primary recipient’s publication or broadcast. This data may not be resold, republished or licensed to any other source, including publications and sources owned by the primary recipient’s parent company without prior written permission from CoreLogic. Any CoreLogic data used for publication or broadcast, in whole or in part, must be sourced as coming from CoreLogic, a data and analytics company. For use with broadcast or web content, the citation must directly accompany first reference of the data. If the data are illustrated with maps, charts, graphs or other visual elements, the CoreLogic logo must be included on screen or website. For questions, analysis or interpretation of the data, contact Robin Wachner at email@example.com. For sales inquiries, contact firstname.lastname@example.org. Data provided may not be modified without the prior written permission of CoreLogic. Do not use the data in any unlawful manner. The data are compiled from public records, contributory databases and proprietary analytics, and its accuracy is dependent upon these sources.
CoreLogic is a leading global property information, analytics and data-enabled solutions provider. The company’s combined data from public, contributory and proprietary sources includes over 4.5 billion records spanning more than 50 years, providing detailed coverage of property, mortgages and other encumbrances, consumer credit, tenancy, location, hazard risk and related performance information. The markets CoreLogic serves include real estate and mortgage finance, insurance, capital markets, and the public sector. CoreLogic delivers value to clients through unique data, analytics, workflow technology, advisory and managed services. Clients rely on CoreLogic to help identify and manage growth opportunities, improve performance and mitigate risk. Headquartered in Irvine, Calif., CoreLogic operates in North America, Western Europe and Asia Pacific. For more information, please visitwww.corelogic.com.
CORELOGIC and the CoreLogic logo are trademarks of CoreLogic, Inc. and/or its subsidiaries. All other trademarks are the property of their respective owners.
For more information, please email Robin Wachner at email@example.com
For sales inquiries, please contact firstname.lastname@example.org.