Home- and community-based services (HCBS) for many older adults are an essential component of aging-in-place. Andersen developed the contemporary model used to predict service use. Researchers have modified the model to examine need. Studies that attempt to predict unmet needs have explained only 10% to 15% of the variance. This study is based on the supposition that lack of accounting for environmental factors has resulted in such small explanatory power. Through the use of 2008 Southeastern Pennsylvania Household Health Survey data, this exploratory study modeled predictors of unmet HCBS needs. Findings reveal that lack of access to healthy foods and poor housing quality have a significant relationship to unmet HCBS needs. This model predicted 54% of the variance. Results reveal environmental questions to ask, a way to identify older adults with unmet HCBS needs and environmental barriers that if addressed may reduce older adults’ eventual need for health services and HCBS.