Loneliness in the United States: State-Level Variation and the Limits of Broad Geographic Context

Loneliness is increasingly recognized as a major public health concern in the United States. Prior research has identified many individual-level correlates of loneliness. This study asks a narrower geographic question: whether selected state-level contextual indicators explain remaining differences in frequent loneliness after accounting for individual composition. Using 2024 Household Pulse Survey data, this study examines frequent loneliness across the fifty U.S. states. The analysis combines weighted state estimates with multilevel logistic regression. Results show clear descriptive differences across states. Higher rates appear in parts of the South, the Pacific Northwest, and the Appalachian region, whereas several coastal states and parts of the Midwest report lower levels. State-level differences become very small, however, after individual characteristics are included in the model. Marital status, financial strain, and indicators of social interaction are strongly associated with loneliness. In contrast, selected state-level indicators, including population density, commuting structure, political composition, temperature, and precipitation, add little explanatory power. These findings do not suggest that geography is unimportant. Rather, they highlight the limits of the state as a geographic scale and the need to test finer spatial units and more direct measures of local context.