In a context where disadvantaged households are overrepresented near environmental hazards and where social-housing tenants are experiencing increasing impoverishment, this study seeks to examine the potential contribution of social housing to these phenomena, a question that, to our knowledge, has not yet been the subject of a dedicated empirical analysis. By mobilizing the geolocation of social housing units from the Répertoire des logements locatifs des bailleurs sociaux (RPLS), together with the location of polluting facilities recorded in the European Pollutant Release and Transfer Register (E-PRTR), and by adopting a fine spatial scale of analysis (200-meter grid cells), we investigate this relationship. Relying on a Spatial Lag of X (SLX) model, we aim to identify, first, whether there exists a correlation between the presence of social housing in a given area and that area’s proximity to polluting facilities, and second, whether the spatial concentration of social housing is associated with greater proximity to such installations. Controlling for a set of relevant covariates, our results show that, on average, areas containing at least one social housing unit are located closer to polluting facilities, and that this proximity increases with the spatial concentration of social housing. In addition, several robustness checks are conducted to ensure that these findings do not depend on specific methodological choices; they consistently confirm the existence of inequalities in exposure to polluting sites among social housing tenants. Taken together, these results suggest a greater localization of polluting facilities in areas where social housing is present. Such findings call for further research, in particular using causal approaches, to determine whether social housing contributes to the siting of polluting facilities and, if so, to better understand the mechanisms underlying the overrepresentation of disadvantaged households in the vicinity of these installations.