Enumerating Homeless People

Abstract

Decisions about how inclusive one should be in attempting to sample and/or enumerate homeless populattons are best guided by information regarding what is sacrificed when different sampling choices are made. This article draws upon data from the Course of Homelessness Study to explore how three progressively less inclusive sampling frames affect understandings of the size and characteristics of homeless populations in two Los Angeles sites. Findings suggest that less inclusive sampling frames substantially affect populatton estimates, but do not consistently produce biased estimates of population characteristics. Whether, and the extent to which, such bias is introduced varies by site, by gender, and by the population characteristic in question.