The objective of this study was to explore nonclinical predictors of cesarean sections (CS) and how they interact with each other, specifically in Turkey. Data was gathered from official statistical records for the year 2017 from the 81 different provinces throughout Turkey. A path analytic model was constructed to examine the interrelationships between socioeconomic factors, utilization of health services, patient satisfaction, and number of CS procedures. The overall performance of the final path model was quite good (GFI = 0.98, AGFI = 0.93, and CFI = 0.96). The study results emphasize the substantial impact of an increase in the number of hospital admissions on the increase in the rate of CS procedures (PC = 0.70). Additionally, the increase in the number of hospital admissions mediates the interrelationship between geographic region, high education, and CS. The findings demonstrate the significant interrelationships among the several major nonclinical predictors of CS in Turkey.Impact Statement What is already known on this subject? There has been a considerable increase in the rate of CS in Turkey and the current study examined the nonclinical predictors of CS, and how they interact with each other, specifically in Turkey. The insights developed by this study are due to its scope and topicality. Although of course clinical factors associated with CS are reflected in the literature, this study focused on nonclinical predictors of CS. What the results of this study add? This study empirically clarifies the causal interrelationships among nonclinical predictors of CS, using data from Turkey where CS rates are very high, causing great concern by health professionals and decision-makers. The results of this study provide a stronger understanding of how nonclinical factors relate to CS in Turkey. Significant factors include the connective role of geographic region, the increasingly high level of education being received by women, and the total number of hospital admissions.