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Previous research suggests that multilingual (ML) students’ literacy achievement may vary across contexts. We examine such variation in Ontario, Canada, by modelling the literacy trajectories of ML and non-ML learners and contextual effects of the proportion of ML learners within boards. Data were drawn from a province-wide database with measures of kindergarten school readiness, literacy across G3-G10, and various individual-, neighborhood-, and board-level covariates for 84,372 students. Growth curves conducted using cross-classified multilevel models reveal ML students catch up to and surpass non-ML peers, and that boards with greater shares of ML learners have stronger literacy outcomes at all time points, for both ML and non-ML students (after controls). Results reflect both developmental and contextual factors that facilitate literacy development.