Key Takeaways
- 66.9 million occupied households owned their home in 2023, representing 65.3% of all occupied households in the United States
- Homeowners with a mortgage accounted for 28.6% of households in 2023 (Federal Reserve/Survey estimates)
- 31.0% of U.S. households were cost-burdened in 2022 (spending 30% or more of income on housing), including both owners and renters
- 23.7% of homeowners with a mortgage were “seriously delinquent” or “in foreclosure” in 2023 according to Federal Reserve Bank of Philadelphia estimates of mortgage distress (mortgage delinquency measures vary by definition)
- In 2023, the average annual premium for homeowners insurance was $1,931 in the United States
- In 2024 (through the latest reported month at the time of publication), the annualized pace of existing home sales was about 4 million units per month
- In 2023, the U.S. home improvement retail market was valued at $557 billion
- The U.S. roofing industry revenue was $17.3 billion in 2024
- The share of loans for purchase was 70.4% of total mortgage applications in the week ending March 15, 2024
- The median monthly household expenditure on utilities was $162 in 2022 (includes electricity, natural gas, water, and other utilities)
- In 2022, homeowners spent $1,800 or more annually on home improvements or repairs (share of respondents varies by survey question wording)
- Homeowners were more likely than renters to participate in home improvement projects, with 48% of homeowners reporting a home improvement project in 2023
- 58% of homeowners said energy-efficient upgrades would reduce utility costs “a lot” or “some” in a 2023 survey
- 27% of U.S. homeowners reported that they have installed a smart thermostat as of 2024
- The average retail price of rooftop solar PV in the U.S. in Q4 2023 was about $3.00 per watt
Most U.S. homeowners own their homes, but rising costs and mortgage distress make affordability and repairs critical.
Related reading
Homeownership Rates
Homeownership Rates Interpretation
Affordability & Costs
Affordability & Costs Interpretation
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Market Size & Pricing
Market Size & Pricing Interpretation
Financing & Rates
Financing & Rates Interpretation
Household Spend & Behavior
Household Spend & Behavior Interpretation
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Industry Trends
Industry Trends Interpretation
User Adoption
User Adoption Interpretation
Performance Metrics
Performance Metrics Interpretation
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Ownership Demographics
Ownership Demographics Interpretation
Home Conditions
Home Conditions Interpretation
Financing & Credit
Financing & Credit Interpretation
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Market Activity
Market Activity Interpretation
Cost Analysis
Cost Analysis Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lukas Bauer. (2026, February 13). Homeowner Statistics. Gitnux. https://gitnux.org/homeowner-statistics
Lukas Bauer. "Homeowner Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/homeowner-statistics.
Lukas Bauer. 2026. "Homeowner Statistics." Gitnux. https://gitnux.org/homeowner-statistics.
References
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