Data quality audit

Which CoC homelessness rates can we actually trust?

A "low" reported homelessness rate isn't always a real low. Communities that count well can appear worse than communities that count poorly. This audit scores every CoC on signals of likely undercount: implausibly high sheltered share (without right-to-shelter law), rural designation, year-over-year volatility, and federal funding per homeless person.

How the score works

SignalPoints
Avg sheltered share > 95% (last 4 years), without right-to-shelter law2
Avg sheltered share 90–95%, without right-to-shelter law1
HUD-classified rural CoC1
Year-over-year volatility > 40% standard deviation in % change1
Federal funding under $1,000 per homeless person1

0 points: Higher confidence. 1–2 points: Possible undercount. 3+ points: Likely undercounting. Right-to-shelter jurisdictions (NYC, all Massachusetts CoCs, DC) are exempted from the sheltered-share flag.

Browse all CoCs by quality tier

Dashboard from Gaither Research — independent data analysis on U.S. housing & homelessness — view methodology