Abstract: Inherent characteristics, such as height, are essential parameters for the identification of an unknown individual from dismembered remains by forensic anthropometrics. Clinically, in certain situations that impede a person from standing or in diseases that affect vertebral column length, stature estimation using hand anthropometric measures might confer a simpler, easier, more reliable, and less time-consuming alternative method to directly measure the standing height. The objective of this study is to correlate between hand anthropometric measures and measured heights of adult Lebanese individuals and to formulate regression equations to predict the height from these anthropometric measures. We conducted an age-proportionate ran- domized cross-sectional study using a consecutive sample of 394 participants from central Beirut and its suburbs. Participants were randomly divided into a development sample and a cross-validation sample. Linear regression models were used to formulate the different equations specific for height estimation. Regression equations of predicted heights from right- and left-hand measurements were obtained. Body mass index (BMIs) calculated from the measured heights and BMIs predicted by the regression equations showed no significant difference between the development and the cross-validation samples. Similarly, the measured and predicted heights showed no difference between the two samples. On the other side, a very strong correla- tion was demonstrated between the measured and predicted heights and BMIs in males and females and in both the development and the cross-validation samples. In conclusion, the formulated regression equations using hand anthropometric measures, age, and sex provide a statistically valid estimation of height and might indeed be useful in the clinical context.