In order to acquire virtual bodies for various body types for clothing design using apparel 3D-CAD, an attempt was made to estimate 3-dimensional body shape based on hand measuring data. We used the data and body shape data for 123 women aged 20 to 70. An equation for estimating principal component scores was developed through multiple regression analysis of hand measuring data and principal component scores obtained from principle component analysis of body shape data, and estimated shapes were generated. In the results, the equations for estimating 1st and 2nd principal component scores had high precision, and it was possible to generate an estimated body shape reproducing body type features of the measured body shape. However, for the equations for estimating the 3rd, 4th, and 5th principal components scores, it was found that there is a low correlation coefficient between the principal component score and hand measuring data, and thus precision is low and it is impossible to generate an estimated body shape adequately reproducing the body type features of the measured body shape, and it will be necessary to select items of hand measuring data to express body shape.