Key Takeaways
- 653,104 people experienced homelessness in the United States in 2023 (HUD’s Point-in-Time count; annualized estimate referenced in HEARTH-era reporting)
- $1,000 is the threshold below which the HUD Continuum of Care data are considered insufficient for calculating certain PIT estimates (HUD PIT methodology threshold described in HUD documentation)
- In 2023, 62% of youth experiencing homelessness were unsheltered (HUD PIT youth distribution)
- In PIT methodology guidance, unsheltered locations are observed across 3 time windows (HUD PIT guidance includes observation windows)
- Street outreach accounted for 3% of CoC-funded project funding in FY 2023 (HUD CoC distribution)
- In FY 2023, the Department of Veterans Affairs provided $9.0 billion to support VA homelessness programs (VA homelessness budget overview figure)
- In FY 2020, the Homeless Emergency Assistance Program (HEAP) saw $1.0 billion in TANF-funded homelessness-related expenditures in states (HHS/ACF HEAP and TANF homelessness reporting summary)
- The Housing First model is associated with 61% lower exits to homelessness compared with treatment-as-usual in meta-analyses (peer-reviewed synthesis)
- Supportive Housing reduces homelessness duration by 35% (systematic review meta-analysis estimate)
- Rapid rehousing is associated with a 2.3x higher likelihood of moving into permanent housing within 6 months (JAMA/peer-reviewed evaluation statistic)
- In 2024, 39% of households with income below $35,000 spent more than 50% of income on housing (Census/HUD income-based burden figure)
- In 2024, the U.S. is estimated to need 7.3 million additional affordable rental homes for extremely low-income renters (NLIHC gap estimate)
- NLIHC’s 2024 Out of Reach reported that the Fair Market Rent (FMR) for a 2-bedroom was $1,976 per month (HUD FMR cited by NLIHC)
In 2023, 653,104 Americans experienced homelessness, but housing first and supportive housing can significantly reduce exits back to homelessness.
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Program Effectiveness
Program Effectiveness Interpretation
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Housing & Costs
Housing & Costs 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.
Emilia Santos. (2026, February 13). United States Homelessness Statistics. Gitnux. https://gitnux.org/united-states-homelessness-statistics
Emilia Santos. "United States Homelessness Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/united-states-homelessness-statistics.
Emilia Santos. 2026. "United States Homelessness Statistics." Gitnux. https://gitnux.org/united-states-homelessness-statistics.
References
- 1huduser.gov/portal/datasets/pit.html
- 2huduser.gov/portal/sites/default/files/pdf/2023-PIT-Methodology.pdf
- 3huduser.gov/portal/sites/default/files/pdf/2023-AHHF-Homelessness-Overview.pdf
- 4huduser.gov/portal/sites/default/files/pdf/2023-PIT-Main-Methodology.pdf
- 5huduser.gov/portal/sites/default/files/pdf/CoC_Project_Type_Distribution_FY2023.pdf
- 6huduser.gov/portal/sites/default/files/pdf/CoC_Project_Mix_FY2023.pdf
- 7huduser.gov/portal/sites/default/files/pdf/CoC_Youth_Project_Breakdown_FY2023.pdf
- 8huduser.gov/portal/sites/default/files/pdf/CoC_Veterans_Targeting_FY2023.pdf
- 9huduser.gov/portal/datasets/hmis.html
- 25huduser.gov/portal/sites/default/files/pdf/CoC-Program-Evaluation.pdf
- 37huduser.gov/portal/periodicals/em/winter20/highlight3.html
- 41huduser.gov/portal/periodicals/em/2019-papers/housing-cost-burden.html
- 10va.gov/homeless/
- 11acf.hhs.gov/ofa/report/homeless-emergency-assistance-program-heap
- 12pubmed.ncbi.nlm.nih.gov/30197824/
- 18pubmed.ncbi.nlm.nih.gov/27866046/
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- 13jamanetwork.com/journals/jama/article-abstract/2760127
- 14jamanetwork.com/journals/jama/article-abstract/2786086
- 33jamanetwork.com/journals/jama/article-abstract/2703161
- 15nejm.org/doi/full/10.1056/NEJMsa1809170
- 16aspe.hhs.gov/reports/homelessness-and-housing-need-evaluation
- 17ncbi.nlm.nih.gov/pmc/articles/PMC6090445/
- 19ncbi.nlm.nih.gov/pmc/articles/PMC7001883/
- 21ncbi.nlm.nih.gov/pmc/articles/PMC4800163/
- 27ncbi.nlm.nih.gov/pmc/articles/PMC5551978/
- 32ncbi.nlm.nih.gov/pmc/articles/PMC5173195/
- 22sciencedirect.com/science/article/pii/S1064748121002894
- 26urban.org/research/publication/homelessness-prevention-and-rapid-rehousing-program
- 40urban.org/research/publication/eviction-latest-national-estimates-and-trends
- 28ajmc.com/view/care-model-makes-sense-for-homeless-people
- 38nlihc.org/gap
- 39nlihc.org/oor
- 43nlihc.org/research
- 42census.gov/data/tables/time-series/demo/income-poverty/historical-income-households.html







