Accessibility has long been used in transportation studies as a way to compare the utility derived by individuals from the transport system. Furthermore, accessibility is also a helpful indicator in studying distributive justice issues in the field of transportation. On the other hand, a vast literature has studied inequalities, in terms of income and employment among other variables, between ‘cités’ neighbourhoods, in France as a whole and in the Paris Urban Area more specifically. In this study we aim to identify how these inequalities could be associated with poor accessibility to jobs and other key services in these areas. GTFS data from the Paris Urban area is used to estimate time travels between census tracts. Using this data as input, accessibility to facilities belonging to different types of key services from an area is then computed using both travel time and fare cost. These accessibility results are then analysed, using a clustering method and a spatial regression model. Results obtained show that in general areas with lower income tend to perform more poorly accessibility-wise, but that a variety of situations exist for areas with average income.