The aim of this study was to derive regression equations for estimating stature and further to estimate sex from four measured sternal lengths. This study included intact sterna from 65 males and 30 females, aged between 25 and 40 years, obtained during medico-legal autopsies. Stature and four sternal lengths, length of the manubrium (LM), length of the body (LB), length of the manubrium and body (LMB) and total sternal length, of each cadaver were measured. Stature and all measured sternal lengths were greater in males compared to females (p < 0.001). All sternal lengths were positively correlated with stature in sexes. LMB had the highest correlation coefficient in both males and females (correlation coefficient: 0.721 and 0.740, respectively). In both sexes, linear regression analysis for stature estimation revealed equations with the highest R (2) values when derived from LMB (R (2) = 0.521 for males and R (2) = 0.547 for females). On the other hand, only the multiple linear regression equation derived from the combination of the LB and LMB had the higher R (2) value (R (2) = 0.640) for stature estimation in females. Receiver-operating curve analysis for all measurements was statistically significant (p < 0.05 for all). These findings suggested that measured sternal lengths can be used for estimation of sex. However, LB and LMB measurements were found to be the most reliable sternal lengths for estimating sex with an accuracy rate of 90 %. Our results revealed that the sternum is a useful tool for estimating stature and sex when other skeletal bones are not available.