This research aims to examine the predictive relationship between the economic, social and cultural level index (ESCS) and academic achievement in the context of PISA 2018 Turkey sample. Research used secondary data analysis, a quantitative research method. In this regard, advanced analyzes were carried out in line with the new and different research questions on the data set obtained for the Turkish sample within the scope of PISA 2018. The sample of the research consists of 186 schools representing 12 regions and 6890 students representing these schools, which were selected in two stages by random stratified sampling from students in the 15-age group and continuing formal education in 2018. The findings revealed that the ESCS index is an important predictor of students' reading, mathematics and science scores in terms of both public and private schools. According to the findings, ESCS index explains greater variance in terms of academic achievement within the sample of private schools. The research also showed that the ICT resources index has emerged as a more effective predictor of academic success compared to the other sub-variables of ESCS such as educational resources index, parent education level and parent professional level.