The Mental Cost of Urban Living: Neighbourhood Deprivation, Income, and Depressive Symptoms in Germany

Objective. This study examines how depressive symptoms in Germany are shaped by the interplay between neighbourhood socioeconomic deprivation, household income, and settlement structure. Drawing on the person-in-environment framework, we conceptualise mental health as an emergent outcome of reciprocal processes between individuals and their environments. Method. We analysed cross-sectional data from the nationally representative GEDA 2019/2020-EHIS survey (N = 20,773). Depressive symptoms were assessed with the PHQ-8. Polynomial regression models tested linear and quadratic associations of neighbourhood deprivation (German Index of Socioeconomic Deprivation, GISD) with depressive symptoms, and interactions with household income quintiles. Analyses were stratified by settlement type (cities, urban, rural, sparsely populated). Results. Higher neighbourhood deprivation was associated with elevated depressive symptoms, with a significant quadratic effect indicating disproportionately higher symptom severity in highly deprived areas. Household income showed a strong inverse association with depressive symptoms. Interaction effects revealed that higher income buffered against the adverse impact of neighbourhood deprivation, particularly in cities. Settlement-specific analyses highlighted that curvilinear deprivation effects – i.e. the most and least deprived areas having the highest prevalence of symptoms – were most pronounced in cities, while income-related disparities were more linear in rural areas. Conclusions. Findings underscore that the psychological burden of socioeconomic deprivation is not uniform but varies by individual resources and settlement context. Income is associated with lower levels of depressive symptoms, but does not eliminate, the mental health costs of living in deprived neighbourhoods. Addressing mental health inequalities requires integrated strategies that target both personal resources and structural conditions in disadvantaged regions.