• All 50 States Gained Value Year Over Year in April
• Only One-Third of the Nation’s Top 50 Markets Were Considered At Value
• Home Prices Projected to Increase by 5.3 Percent by April 2019

IRVINE, Calif. — (BUSINESS WIRE) — June 5, 2018 — CoreLogic^® (NYSE: CLGX), a leading global property information, analytics and data-enabled solutions provider, today released the CoreLogic Home Price Index (HPI^™) and HPI Forecast^™ for April 2018, which shows home prices rose both year over year and month over month. Home prices increased nationally by 6.9 percent year over year from April 2017 to April 2018. On a month-over-month basis, prices increased by 1.2 percent in April 2018 – compared with March 2018 – according to the CoreLogic HPI. (March 2018 data was revised. Revisions with public records data are standard, and to ensure accuracy, CoreLogic incorporates the newly released public data to provide updated results each month.)

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Looking ahead, the CoreLogic HPI Forecast indicates that the national home-price index is projected to continue to increase by 5.3 percent on a year-over-year basis from April 2018 to April 2019. On a month-over-month basis, home prices are expected to rise 0.2 percent in May 2018. The CoreLogic HPI Forecast is a projection of home prices that is calculated using the CoreLogic HPI and other economic variables. Values are derived from state-level forecasts by weighting indices according to the number of owner-occupied households for each state.

“The best antidote for rising home prices is additional supply,” said Dr. Frank Nothaft, chief economist for CoreLogic. “New construction has failed to keep up with and meet new housing growth or replace existing inventory. More construction of for-sale and rental housing will alleviate housing cost pressures.”

According to the CoreLogic Market Condition Indicators (MCI), an analysis of housing values in the country’s 100 largest metropolitan areas based on housing stock found that 40 percent of metropolitan areas have an overvalued housing market as of April 2018. The MCI analysis categorizes home prices in individual markets as undervalued, at value or overvalued, by comparing home prices to their long-run, sustainable levels, which are supported by local market fundamentals (such as disposable income). Additionally, as of April 2018, 28 percent of the top 100 metropolitan areas were undervalued and 32 percent were at value. When looking at only the top 50 markets based on housing stock, 52 percent were overvalued, 14 percent were undervalued and 34 percent were at value. The MCI analysis defines an overvalued housing market as one in which home prices are at least 10 percent higher than the long-term, sustainable level, while an undervalued housing market is one in which home prices are at least 10 percent below the sustainable level.

Additionally, on May 31, CoreLogic issued the 2018 Storm Surge Report detailing the potential impact of the 2018 Hurricane season (identified as June through November) on the U.S. mainland and territories. In the report, Florida was identified as the most vulnerable state in the nation with 2.7 million homes at risk. $552 billion was the projected total cost to rebuild homes across the state if the maximum number of homes were impacted by a storm. Despite the potential impact, Florida home prices increased by 0.6 percent month over month, and 5.8 percent year over year. Home prices in the Sunshine State are projected to continue to increase by 0.8 percent month over month and 7.5 percent year over year, respectively.

“Florida continues to show price resiliency after Hurricane Irma in 2017. Despite the impact of the hurricane, prices were up 5.8 percent across the state compared to a year ago,” said Frank Martell, president and CEO of CoreLogic. “CoreLogic data projects continued gains to home prices in Florida for the remainder of 2018. However, gains could be erased if a significant storm makes landfall again.”

Methodology

The CoreLogic HPI^™ is built on industry-leading public record, servicing and securities real-estate databases and incorporates more than 40 years of repeat-sales transactions for analyzing home price trends. Generally released on the first Tuesday of each month with an average five-week lag, the CoreLogic HPI is designed to provide an early indication of home price trends by market segment and for the “Single-Family Combined” tier, representing the most comprehensive set of properties, including all sales for single-family attached and single-family detached properties. The indices are fully revised with each release and employ techniques to signal turning points sooner. The CoreLogic HPI provides measures for multiple market segments, referred to as tiers, based on property type, price, time between sales, loan type (conforming vs. non-conforming) and distressed sales. Broad national coverage is available from the national level down to ZIP Code, including non-disclosure states.

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, Core Based Statistical Area (CBSA) and ZIP Code levels. The forecast accuracy represents a 95-percent statistical confidence interval with a +/- 2 percent margin of error for the index.

Source: CoreLogic

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 Alyson Austin at newsmedia@corelogic.com or Allyse Sanchez at corelogic@ink-co.com. 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.

About CoreLogic

CoreLogic (NYSE: CLGX) 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 visit www.corelogic.com.

CORELOGIC, the CoreLogic logo, CoreLogic HPI, CoreLogic HPI Forecast and HPI are trademarks of CoreLogic, Inc. and/or its subsidiaries.

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