CoreLogic® (NYSE: CLGX), a leading global property information, analytics and data-enabled services provider, today released its CoreLogic Home Price Index (HPI™) and HPI Forecast™ data for January 2016 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 2016 compared with January 2015 and increased month over month by 1.3 percent in January 2016 compared with December 2015,* according to the CoreLogic HPI.
The CoreLogic HPI Forecast indicates that home prices will increase by 5.5 percent on a year-over-year basis from January 2016 to January 2017, and on a month-over-month basis home prices are expected to increase 0.5 percent from January 2016 to February 2016. 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.
“While the national market continues to steadily improve, the contours of the home price recovery are shifting,” said Dr. Frank Nothaft, chief economist for CoreLogic. “The northwest and Rocky Mountain states have experienced greater appreciation and account for four of the top five states for home price growth.”
“Heading into the spring buying season, home prices continue to rise across much of the country,” said Anand Nallathambi, president and CEO of CoreLogic. “With rates staying low for now and continued solid job and income growth, the spring buying season is shaping up to be a good one.”
*December 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.
The CoreLogic HPI™ is built on industry-leading public record, servicing and securities real-estate databases and incorporates more than 30 years of repeat-sales transactions for analyzing home price trends. Generally released on the first Tuesday of each month with a five-week lag, the CoreLogic HPI is designed to provide an early indication of home price trends among that include 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 structural 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 five-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 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 email@example.com or Bill Campbell at 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.