Key Takeaways
- In 2022, the U.S. had a shortage of 7.3 million affordable homes for extremely low-income renters
- Only 34 affordable homes existed for every 100 extremely low-income renter households in 2022
- From 2019 to 2022, the production of homes affordable to households earning less than $30,000 annually declined by 37%
- Median home price-to-income ratio reached 5.5 in 2023, up from 3.0 in 2000
- Rent as a share of median income rose to 30.4% in 2022 from 28.5% in 2019
- In 2023, 22.1 million renter households (42%) were cost-burdened, paying >30% income on housing
- LIHTC funding supported 125,000 affordable units in FY2023
- Section 8 vouchers served 5.1 million people in 1.8 million households in 2023
- HUD's 2024 budget request included $32 billion for rental assistance, up 10% from 2023
- In 2023, 16.5 million low-income households had worst case housing needs
- Black households faced 2.5x higher severe cost burden rate (26%) than whites (10%) in 2022
- 7.7 million ELI renter households (50%) lived in severely inadequate housing in 2023
- Rent growth projected at 4.5% annually through 2027
- Multifamily demand to add 400,000 units/year needed 2024-2028
- Home prices expected to rise 3.5% in 2024, affordability index to 95 by 2025
The affordable housing shortage is worsening despite growing demand and inadequate supply.
Affordability and Costs
Affordability and Costs Interpretation
Demographics and Need
Demographics and Need Interpretation
Government and Policy
Government and Policy Interpretation
Supply and Development
Supply and Development Interpretation
Trends and Future Outlook
Trends and Future Outlook 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.
Sophie Moreland. (2026, February 13). Affordable Housing Industry Statistics. Gitnux. https://gitnux.org/affordable-housing-industry-statistics
Sophie Moreland. "Affordable Housing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/affordable-housing-industry-statistics.
Sophie Moreland. 2026. "Affordable Housing Industry Statistics." Gitnux. https://gitnux.org/affordable-housing-industry-statistics.
Sources & References
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