US Owner-Occupied Housing
US Owner-Occupied Housing stood at 86,985 thousand units in Q2 2026, according to Census Bureau (Housing Vacancies and Homeownership, HVS). It is one of the indicators in the Homeownership and vacancy rates table (Value · Quarterly), with a complete series running from Q2 2000 to Q2 2026. The complete series with an interactive chart, free to download.
This indicator in the Homeownership and vacancy rates table
| Indicator | Q2-2026 | Q1-2026 | Q4-2025 | Q3-2025 | Q2-2025 | Q1-2025 | Q4-2024 | Q3-2024 | Q2-2024 | Q1-2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total housing units | 149,454 | 149,006 | 148,712 | 148,300 | 147,947 | 147,594 | 147,241 | 146,888 | 146,535 | 146,183 | |
| Occupied | 133,811 | 133,701 | 133,673 | 133,079 | 132,514 | 132,046 | 132,247 | 131,988 | 131,320 | 130,920 | |
| Owner-occupied | 86,985 | 87,264 | 87,806 | 86,922 | 86,159 | 85,963 | 86,839 | 86,538 | 86,198 | 85,940 |
Understanding US Owner-Occupied Housing
This series tracks the United States Owner-Occupied Housing, quantifying the number of residential units where the primary resident is also the property owner. The scope encompasses houses, condominiums, and cooperative apartments inhabited by their proprietors, strictly excluding renter-occupied dwellings and vacant properties. It is frequently evaluated alongside rental statistics, but differs fundamentally by reflecting household wealth accumulation and domestic property ownership rather than the rental market. This distinction makes it a critical barometer for assessing middle-class asset holding and mortgage market participation.
Releases occur on a scheduled periodic basis, with figures subject to periodic benchmark revisions based on updated demographic benchmarks and survey responses. Analysts generally rely on year-on-year comparisons to gauge structural trends in homeownership, as high-frequency month-on-month variations can obscure broader trajectories. Seasonal purchasing patterns, particularly the traditional spring and summer real estate buying seasons, introduce predictable rhythms into the data that require careful seasonal interpretation. Observers monitor this series closely to gauge consumer confidence, household balance sheet strength, and the long-term health of the domestic mortgage sector.