Key Takeaways
- U.S. residential energy consumption totaled 21.8 quadrillion Btu in 2022, 20% of total energy use
- Average U.S. household used 10,500 kWh of electricity in 2022, with heating accounting for 42% of energy
- 48% of home energy used for space heating in 2022, natural gas primary source for 58% of homes
- 1 in 5 home fires caused by cooking in 2022, with 172,800 incidents and $1.2B damage
- Smoke alarms present but failed in 25% of home fires 2015-2019, missing in 23% of deaths
- Average homeowners insurance premium rose 20% to $1,700 in 2023 due to climate risks
- In 2023, the U.S. homeownership rate reached 65.7%, marking the highest level since 2005 with 86.1 million homeowner households
- As of Q4 2023, the homeownership rate for households headed by Asian Americans stood at 63.1%, compared to 74.6% for White non-Hispanic households
- In 2022, the millennial homeownership rate was 48.4% for those aged 25-34, up 2.4 percentage points from 2021
- In 2023, the national median home price was $417,700, up 5.2% from 2022 amid low inventory
- Housing affordability index fell to 98.1 in Q4 2023, the lowest since 2007, meaning a typical family spends 28% of income on mortgage
- Inventory of homes for sale was 3.5 months' supply in Dec 2023, down from 5.2 pre-pandemic, driving prices up 6.5%
- 53 million smart speakers in U.S. homes by 2023, up 25% YoY
- Smart lighting market: 120 million bulbs sold 2023, Philips Hue 28% share
- Video doorbells in 18% of homes 2023, Ring capturing 52% market
U.S. homes are using energy more efficiently through electrification and smart upgrades, while affordability and insurance pressures rise.
Related reading
Home Energy Consumption
Home Energy Consumption Interpretation
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Home Safety and Insurance
Home Safety and Insurance Interpretation
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Homeownership Rates
Homeownership Rates Interpretation
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Housing Prices and Affordability
Housing Prices and Affordability Interpretation
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Smart Home Technology
Smart Home Technology 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.
Nathan Caldwell. (2026, February 13). Home Statistics. Gitnux. https://gitnux.org/home-statistics
Nathan Caldwell. "Home Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/home-statistics.
Nathan Caldwell. 2026. "Home Statistics." Gitnux. https://gitnux.org/home-statistics.
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