Cardiovascular diseases (CVD) are a prominent cause of mortality and morbidity in India. Environment and culture play a significant role in development of CVD in an individual. Since population base data on CVD risk factor is scarce, Sunni Muslims Mendelian population of Delhi was studied for identifying CVD risk factors using principal component analysis. The study includes 17 inter-correlated CVD risk variables i.e. anthropometric, physiological, and biochemical markers. A cross-sectional study was undertaken in urban Delhi, through conducting household survey. A total of 406 Sunni Muslims (125 males and 281 females) between 35-65 years of age were included in the study. The data was analysed using principal component factor analysis (PCFA). The PCFA extracted seven factors which explained nearly 81.17% and 80.06% of total variance of 17 quantitative traits among females and male, respectively. A cumulative risk scale was developed from the factor scores. Waist-height ratio (WHtR) showed strongest correlation for high cumulative risk (OR = 3.402; CI 95% = 1.693-6.834) among females, while among males, Waist-hip ratio (OR = 3.039; CI 95% = 1.029-8.974) showed strongest correlation for high cumulative risk. The findings of the present study add depth to the limited amount of literature on PCFA of cardiovascular risk in Indian ethnic population.