Background: Female pattern hair loss (FPHL), a common form of alopecia in postmenopausal women, is influenced by multiple factors. Several contributing factors have been identified in the development of FPHL, which include aging, alterations in sex steroid hormones, genetic predisposition, nutritional deficiencies, and obesity. Aim: This study aimed to estimate the prevalence of FPHL among postmenopausal women and investigate its association with metabolic risk factors. Materials and Methods: This cross-sectional study was conducted between January and March 2026 at the National Dermatology Center, enrolling 30 postmenopausal women aged 50–65 years. Hair density was assessed using the ASL 202 Lens (Aram Huvis, South Korea). Severity of FPHL was classified according to Ludwig Classification into grades I–III. Results: The average age and BMI were 55.63±3.55 years and 27.85±4.3 kg/m², respectively. Severity of FPHL by Ludwig grades I, II, and III was 56.7% (n=17), 40% (n=12), and 3.3% (n=1), respectively. The average BMI and fasting glucose level were significantly higher in the grade I group, compared to grades II and III (p=0.001). According to Spearman’s correlation analysis, a negative correlation was observed between BMI and hair density (r=-0.53, p=0.003). Linear regression analysis revealed that BMI (β coefficient 0.413; 95% CI: 0.007, 0.09; p=0.023) and fasting glucose level (β coefficient 0.458; 95% CI: 0.028, 0.2; p=0.011) were significantly associated with FPHL. Conclusion Among postmenopausal women, grade I female pattern hair loss was the most prevalent type, and elevated BMI and fasting glucose level might be associated with increased severity of FPHL.