Objective: To develop anthropometric equations to predict body fat percentage (BF%).Methods: In 151 women (aged 18-59) body weight, height, eight-skinfold thickness (STs), six-circumferences (CIs), and BF% by hydrodensitometry were measured. Subjects data were randomly divided in two groups, equation-building group (n=106) and validation group (n=45). The equation-building group was used to run linear regression models using anthropometric measurements as predictors to find the best prediction equations of the BF%. The validation group was used to compare the performance of the new equations with those of Durnin-Womersley, Jackson-Pollock and Ramirez-Torun.Results: There were two preferred equations: Equation 1=11.76 + (0.324 x tricipital ST) + (0.133 x calf ST) + (0.347 x abdomen CI) + (0.068 x age) - (0.135 x height) and Equation 2=11.37 + (0.404 x tricipital ST) + (0.153 x axilar ST) + (0.264 x abdomen CI) + (0.069 x age) - (0.099 x height). There were no significant differences in BF% obtained by hydrodensitometry (31.5 +/- 5.3) and Equation 1 (31.0 +/- 4.0) and Equation 2 (31.2 +/- 4.0). The BF% estimated by Durning-Womersley (35.8 +/- 4.0), Jackson-Pollock (26.5 +/- 5.4) and Ramirez-Torun (32.6 +/- 4.8) differed from hydrodensitometry (p < 0.05). The interclass correlation coefficient (ICC) was high between hydrodensitometry and Equation 1 (ICC=0.77), Equation 2 (ICC=0.76), and Ramirez-Torun equation (ICC=0.75). The ICC was low between hydrodensitometry and Durnin-Womersley (ICC=0.51) and Jackson-Pollock (ICC=0.53) equations.Conclusion: The new Equations-1 and 2, performed better than the commonly used anthropometric equations to predict BF% in adult women.