US Home Prices Post Third Month of Double-Digit Growth in April, CoreLogic Reports

CoreLogic

CoreLogic, a leading global property information, analytics and data-enabled solutions provider, today released the CoreLogic Home Price Index (HPI) and HPI Forecast for April 2021.

Sparse inventory and high demand continues to place upward pressure on home prices, creating challenges across generations as buyer preferences shift. Younger millennials continue to enter the market in droves while older millennials look to upgrade and upsize their homes. In a recent CoreLogic consumer survey, the need for more space was noted as the top driver (64%) for demand among these cohorts.

The increased competition among buyers may cause a ripple effect and create affordability challenges for baby boomers interested in downsizing or relocating. Notably, 72% of this cohort list the desire for a new location as the main reason for wanting to purchase a new home. However, in response to rising prices, baby boomers — who own 54% of the nation’s homes — may wait to sell, creating further inventory pressures for older millennials seeking move up-purchases.

“As older homeowners become more comfortable with listing their homes, they are faced with the reality that if they sell, they may get a smaller home for the same price as what they already have,” said Frank Martell, president and CEO of CoreLogic. “Rather than decreasing their financial burden and cashing out equity to support their retirement, baby boomers may choose to stay put — which could exacerbate inventory challenges.”

Top Takeaways:

  • Nationally, home prices increased 13% in April 2021, compared with April 2020. On a month-over-month basis, home prices increased by 2.1% compared to March 2021.
  • Appreciation of detached properties (14.7%) was more than double that of attached properties (7.2%) in April as prospective buyers continue to seek out more space.
  • Home prices are projected to increase 2.8% by April 2022, as affordability and supply challenges drive potential buyers out of the market, causing a slowdown in home price growth.
  • In April, home prices rose sharply in the west with Coeur d’Alene, Idaho, experiencing the highest year-over-year increase at 31.4%. Boise City, Idaho, ranked second with a year-over-year increase of 28.6%.
  • At the state level, Idaho and Arizona continued to have the strongest price growth at 27.2% and 20.4%, respectively. South Dakota also had a 19.3% year-over-year increase as new home buyers seek out more affordable options, space and low property taxes.

“Baby boomers are staying in their homes longer, slowing the pace with which existing homes come on the for-sale market,” said Dr. Frank Nothaft, chief economist at CoreLogic. “Owner occupants today have been in their homes for a median of 13 years, about 50% longer than the previous generation.”

Figure 1: HPI and HPI Forecast Percentage Change Year Over Year

Table 1: Single-Family Combined HPI Percent Change and Market Condition Indicators for Select Metros

Table 2: Top Markets at Risk of Home Price Declines

Methodology

The CoreLogic HPI is built on industry-leading public record, servicing and securities real-estate databases and incorporates more than 45 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, metropolitan areas and ZIP Code levels. The forecast accuracy represents a 95% statistical confidence interval with a +/- 2% margin of error for the index.

About Market Risk Indicator

Market Risk Indicators are a subscription-based analytics solution that provide monthly updates on the overall “health” of housing markets across the country. CoreLogic data scientists combine world-class analytics with detailed economic and housing data to help determine the likelihood of a housing bubble burst in 392 major metros and all 50 states. Market Risk Indicators is a multi-phase regression model that provides a probability score (from 1 to 100) on the likelihood of two scenarios per metro: a >10% price reduction and a ≤ 10% price reduction. The higher the score, the higher the risk of a price reduction.

About the Market Condition Indicators

As part of the CoreLogic HPI and HPI Forecasts offerings, Market Condition Indicators are available for all metropolitan areas and identify individual markets as “overvalued”, “at value”, or “undervalued.” These indicators are derived from the long-term fundamental values, which are a function of real disposable income per capita. Markets are labeled as overvalued if the current home price indexes exceed their long-term values by greater than 10%, and undervalued where the long-term values exceed the index levels by greater than 10%.

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