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CoreLogic Reports Fourth Consecutive Month with More Than 6 Percent Year-Over-Year Home Price Growth in November
- Washington, Nevada, Utah and Idaho Posted 12-Month Price Gains of 10 Percent or More in November
- Lack of Affordable Housing Stock Keeps Home Price Index High in Many Markets
- Home Prices Projected to Increase by 4.2 Percent by November 2018
IRVINE, Calif., January 2, 2018 – CoreLogic® (NYSE: CLGX), a leading global property information, analytics and data-enabled solutions provider, today released its CoreLogic Home Price Index (HPI™) and HPI Forecast™ for November 2017, which shows home prices are up both year over year and month over month. Home prices nationally increased year over year by 7 percent from November 2016 to November 2017, and on a month-over-month basis home prices increased by 1 percent in November 2017 compared with October 2017,* according to the CoreLogic HPI.
Looking ahead, the CoreLogic HPI Forecast indicates that home prices will increase by 4.2 percent on a year-over-year basis from November 2017 to November 2018, and on a month-over-month basis home prices are expected to decrease by 0.4 percent from November 2017 to December 2017. The CoreLogic HPI Forecast is a projection of home prices 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.
“Rising home prices are good news for home sellers, but add to the challenges that home buyers face,” said Dr. Frank Nothaft, chief economist for CoreLogic. “Growing numbers of first-time buyers find limited for-sale inventory for lower-priced homes, leading to both higher rates of price growth for ‘starter’ homes and further erosion of affordability.”
According to CoreLogic Market Condition Indicators (MCI) data, an analysis of housing values in the country’s 100 largest metropolitan areas based on housing stock, 37 percent of metropolitan areas have an overvalued housing stock as of November 2017. 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. Also, as of November, 36 percent of the top 100 metropolitan areas were undervalued and 26 percent were at value (this percent share is based on 99 markets for this report since data for Honolulu is currently unavailable). When looking at only the top 50 markets based on housing stock, 50 percent were overvalued, 14 percent were undervalued and 36 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.
“Without a significant surge in new building and affordable housing stock, the relatively high level of growth in home prices of recent years will continue in most markets,” said Frank Martell, president and CEO of CoreLogic. “Although policymakers are increasingly looking for ways to address the lack of affordable housing, much more needs to be done soon to see a significant improvement over the medium term.”
Home Prices in Phoenix-Mesa-Scottsdale Increase
In Phoenix-Mesa-Scottsdale, home prices, including distressed sales, increased by 6.2 percent in November 2017 compared with November 2016. On a month-over-month basis, home prices, including distressed sales, increased by 0.2 percent in November 2017 compared with October 2017.
*October 2017 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.
Home Price Change and Market Conditions for Select Metropolitan Areas
| Select Metropolitan Areas | November 2017 12-Month HPI Change Year Over Year Single-Family |
Market Condition as of November 2017 |
| Las Vegas-Henderson-Paradise NV | 11.1% | Overvalued |
| San Francisco-Redwood City-South San Francisco CA | 8.9% | At value |
| Denver-Aurora-Lakewood CO | 8.1% | Overvalued |
| Los Angeles-Long Beach-Glendale CA | 7.5% | Overvalued |
| Boston MA | 6.7% | At value |
| Chicago-Naperville-Arlington Heights IL | 3.7% | At value |
| Miami-Miami Beach-Kendall FL | 3.7% | Overvalued |
| Washington-Arlington-Alexandria DC-VA-MD-WV | 3.7% | Overvalued |
| Houston-The Woodlands-Sugar Land TX | 3.5% | Overvalued |
| New York-Jersey City-White Plains NY-NJ | 3.3% | Overvalued |
Source: CoreLogic November 2017
Home Price Change By State
| State | November 2017 12-Month HPI |
| Year Over Year | |
| Single-Family | |
| National | 7.0% |
| Alabama | 4.9% |
| Alaska | 2.3% |
| Arizona | 6.3% |
| Arkansas | 3.6% |
| California | 8.0% |
| Colorado | 8.1% |
| Connecticut | 2.4% |
| Delaware | 4.6% |
| District of Columbia | 2.7% |
| Florida | 6.0% |
| Georgia | 5.8% |
| Idaho | 10.4% |
| Illinois | 3.5% |
| Indiana | 4.8% |
| Iowa | 4.0% |
| Kansas | 2.3% |
| Kentucky | 6.0% |
| Louisiana | 4.8% |
| Maine | 4.1% |
| Maryland | 3.3% |
| Massachusetts | 6.5% |
| Michigan | 7.7% |
| Minnesota | 6.0% |
| Mississippi | 4.7% |
| Missouri | 6.3% |
| Montana | 5.8% |
| Nebraska | 5.2% |
| Nevada | 10.8% |
| New Hampshire | 7.1% |
| New Jersey | 3.6% |
| New Mexico | 2.0% |
| New York | 5.2% |
| North Carolina | 5.4% |
| North Dakota | 6.4% |
| Ohio | 6.4% |
| Oklahoma | 2.2% |
| Oregon | 7.5% |
| Pennsylvania | 3.4% |
| Rhode Island | 8.0% |
| South Carolina | 4.9% |
| South Dakota | 9.1% |
| Tennessee | 6.8% |
| Texas | 5.4% |
| Utah | 10.5% |
| Vermont | 5.0% |
| Virginia | 2.9% |
| Washington | 12.2% |
| West Virginia | 3.5% |
| Wisconsin | 6.4% |
| Wyoming | 3.5% |
Source: CoreLogic November 2017
**Data from Hawaii is unavailable this month.
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 indexes 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 +/- 2.0 percent margin of error for the i ndex.
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 Lori Guyton at lguyton@cvic.com or Bill Campbell at bill@campbelllewis.com. Data provided may not be modified without the prior written permissi on 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.c om.
CORELOGIC, the CoreLogic logo, CoreLogic HPI, CoreLogic HPI Forecast and HPI are trademarks of CoreLogic, Inc. and/or its subsidiaries.
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