IRVINE, Calif.--(BUSINESS WIRE)--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 January 2017 which shows home prices are up both year over year and month over month.
Home prices nationwide, including distressed sales, increased year over year by 6.9 percent in January 2017 compared with January 2016 and increased month over month by 0.7 percent in January 2017 compared with December 2016,* according to the CoreLogic HPI.
The CoreLogic HPI Forecast indicates that home prices will increase by 4.8 percent on a year-over-year basis from January 2017 to January 2018, and on a month-over-month basis home prices are expected to increase by 0.1 percent from January 2017 to February 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.
“With lean for-sale inventories and low rental vacancy rates, many markets have seen housing prices outpace inflation,” said Dr. Frank Nothaft, chief economist for CoreLogic. “Over the 12 months through January of this year, the CoreLogic Home Price Index recorded a 6.9 percent rise in home prices nationally and the CoreLogic Single-Family Rental Index was up 2.7 percent—both rising faster than inflation.”
“Home prices continue to climb across the nation, and the spring home buying season is shaping up to be one of the strongest in recent memory,” said Frank Martell, president and CEO of CoreLogic. “A potent mix of progressive economic recovery, demographics, tight housing stocks and continued low mortgage rates are expected to support this robust market outlook for the foreseeable future. We expect the CoreLogic Home Price Index to rise 4.8 percent nationally over the next 12 months, buoyed by lack of supply and continued high demand.”
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 thirty-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, 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 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 Lori Guyton at firstname.lastname@example.org or Bill Campbell at email@example.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.
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.