Background: According to the World Health Organization (WHO), 25–30% of the total population in developing countries are affected by metabolic syndrome (MetS). MetS is defined as a cluster of interrelated conditions encompassing abdominal obesity, arterial hypertension, hyperglycemia, and dyslipidemia, and constitutes a significant precursor to cardiovascular disease (CVD), cerebrovascular accident (stroke), and type 2 diabetes mellitus (T2DM). The global prevalence of MetS continues to rise in parallel with increasing rates of sedentary behavior and obesity. Morphological alterations associated with MetS are reflected in changes in anthropometric parameters that vary according to individual constitutional characteristics. Physical development is a dynamic process influenced by age, sex, occupational activity, living environment, and geographic-climatic conditions. In the Mongolian population, specific lifestyle patterns, climatic factors, and behavioral characteristics further amplify the risk of obesity, thereby contributing to increasing morbidity and mortality from T2DM and CVD. Although previous studies in Mongolia have examined the prevalence of MetS and its associated risk factors, data on anthropometric profiles of individuals with MetS remain limited. Therefore, establishing normative anthropometric reference values for individuals with MetS in the Mongolian population is of critical importance. Aim: To determine and compare selected anthropometric parameters between Mongolian males with metabolic syndrome and those without metabolic syndrome. Materials and Methods: A total of 227 males aged 30-60 years residing in Ulaanbaatar city were enrolled in this study. Participants were classified into two groups according to the 2009 Joint Interim Statement (JIS) diagnostic criteria: 88 males (38.8%) met the diagnostic criteria for MetS (case group) and 139 males (61.2%) did not (control group). Results: Comparisons of anthropometric measurements stratified by serum ferritin quartiles revealed statistically significant differences in body weight, waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), percentage body fat, fat mass, and skeletal muscle mass between the MetS and non-MetS groups (p<0.001). When anthropometric parameters were compared across serum ferritin strata, only percentage body fat showed a statistically significant elevation (p=0.037), while no significant differences were observed for the remaining parameters (p>0.05). Linear regression analysis indicated that BMI (beta=3.21, p=0.036) and WHR (beta=7.11, p=0.047) independently increased the risk of elevated serum ferritin levels by 3.2-fold and 7.1-fold, respectively. Conclusions 1. Anthropometric and hemodynamic parameters including BMI, waist circumference, waist-to-hip ratio, systolic blood pressure, and diastolic blood pressure were all significantly different between the MetS and non-MetS groups, whereas body height showed no statistically significant difference between the groups (F=0.002, p=0.962). 2. Serum ferritin concentration showed statistically significant weak positive correlations with waist circumference (r=0.20), BMI (r=0.19), waist-to-hip ratio (r=0.26), and body fat percentage (r=0.23) (p<0.01). Linear regression analysis identified BMI (β=3.21, p=0.036) and waist-to-hip ratio (β=7.11, p=0.047) as independent predictors associated with a 3.2-fold and 7.1-fold increased risk of elevated serum ferritin, respectively.