Seasonality in the U.S. Housing Market: Post-Pandemic Shifts and Regional Dynamics

TL;DR

This study investigates how COVID-19 has altered seasonal patterns in the U.S. housing market, revealing earlier peaks and regional differences using historical data and seasonal analysis techniques.

Contribution

It provides new insights into post-pandemic shifts and regional heterogeneity in housing market seasonality through comprehensive data analysis.

Findings

Recent shifts toward earlier market peaks (March-April)

Amplified seasonal fluctuations in prices and sales

Regional variations linked to climate and market structure

Abstract

Seasonality has traditionally shaped the U.S. housing market, with activity peaking in spring-summer and declining in autumn-winter. However, recent disruptions, particularly post-COVID-19, raise questions about shift in these patterns. This study analyzes housing market date (1991-2024) to examine evolving seasonality and regional heterogeneity. Using Housing Price Index (HPI), inventory and sales data from the Federal Housing Finance Agency and U.S. Census Bureau, seasonal components are extracted via the X-13-ARIMA procedure, and statistical tests assess variations across regions. The results confirm seasonal fluctuations in prices and volumes, with recent shifts toward earlier annual peak (March-April) and amplified seasonal effects. Regional variations align with differences in climate and market structure, while prices and sales volumes exhibit in-phase movement, suggesting thick-market momentum behaviour. These findings highlight key implications for policymakers, realtors and investors navigating post-pandemic market dynamics, offering insights into the timing and interpretation of housing market activities.