The study investigates the academic resilience of Swedish students, focusing on how school-level factors contribute to achievement diferences between resilient and non-resilient students. Using data from PISA cycles from 2000 to 2015, the study employs propensity score matching and hierarchical linear modeling to examine the impact of individual, teacher, and school-level factors on student achievement in science, mathematics, and reading. The findings highlight the importance of school resources, teacher-student relationships, and school climate in fostering resilience among students from low socioeconomic backgrounds. The study also addresses limitations like reduced sample size and variability in data across PISA cycles, suggesting future research to enhance statistical power and cross-cycle comparisons