Dashboard

Homelessness rates by Continuum of Care, 2007–2024

Per-CoC and per-state homelessness rates over 18 years. Sheltered vs. unsheltered breakdowns, US choropleth map, sortable state and CoC tables, and rate-format toggles (per 10k, percent, 1 in N).

HUD PIT counts · UCSF BHHI population denominators · Updated 2026-05

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Analysis

What drives homelessness rates? Correlations across 17 covariates

Tests housing market conditions (rent burden, vacancy rate, renter share), eviction rates, federal funding, and labor market indicators against the CoC homelessness rate. Restricted to data-quality-vetted CoCs (n = 361). Housing-market variables dominate; unemployment is essentially uncorrelated.

UCSF BHHI ACS-derived covariates · HUD CoC Program Awards · HUD HIC bed inventory · Updated 2026-05

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Methodology

Data quality audit: which CoC rates can we trust?

Per-CoC undercount risk score combining sheltered share, rural designation, year-over-year volatility, and federal funding per homeless person. Flags 29 CoCs whose reported homelessness rates likely understate reality.

HUD PIT counts · HUD CoC Program Awards · UCSF BHHI population data · Updated 2026-05

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Geographic decomposition

City effect on state-level homelessness rates

For each state, compares the combined homelessness rate of Major City CoCs against the rate of all other CoCs in the state. Surfaces which state-level rates are dominated by their major cities — and which are not.

HUD PIT counts · UCSF BHHI population data · HUD CoC categories · Updated 2026-05

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Geographic decomposition

Rate by density: urban / suburban / rural breakdown

Per-state homelessness rates broken into Major City, Other Urban, Suburban, and Rural CoCs. National pattern: Major City CoCs run ~4× higher rates than rural CoCs, but state-level patterns vary widely.

HUD PIT counts · UCSF BHHI population data · HUD CoC categories · Updated 2026-05

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