The purpose of this study was to investigate the correlation between sacral measurements and sex and stature by reconstructing postmortem computed tomography (PMCT) data in 3D, thereby proposing a regression model that can predict stature. This study has the potential to be applied in various fields, such as forensic medicine and morphology. This study utilized PMCT images from a total of 67 subjects (34 males, 33 females) derived from the Korean population, taken at the National Forensic Service between January and December 2022. The 2D PMCT images were reconstructed into 3D images using the Mimics program, and the measurement of sacral morphology was also performed using this program. We established four bony landmarks on the sacrum and measured the distance connecting each landmark: SW (Sacral width), SL(Sacral length), LOL(Left oblique length), and ROL (Right oblique length). The SW/SL/LOL/ROL ratio was calculated by dividing these measurements by the cadaver’s stature to explore their proportional relationship. The average stature was 1695.29±73.12 mm in males, 1599.24±61.18 mm in females, and 1647.98±82.64 mm in all subjects. The mean (Standard deviation) of the measurement variables was 95.84±5.13 mm for SW, 110.55±9.60 mm for SL, 93.73±6.56 mm for LOL, and 92.74±6.80 mm for ROL. The ratio of the measurement variables to stature was as follows: the mean SW ratio was 0.58±0.03, the SL ratio was 0.67±0.05, the LOL ratio was 0.56±0.04, and the ROL ratio was 0.56±0.04. The stature, LOL, and ROL were significantly longer in males than females(p=0.009, p=0.027). The model to estimate stature (y, mm) based on sacral measurement variables(x, mm) was derived with the following results: S =1109.468+5.619SW (p=0.004), S=1238.762+3.701SL (p<0.001), S=1107.396+5.767LOL (p<0.001), and S=1137.014+5.510ROL (p<0.001). We proposed a sacrum-based regression model for estimating stature, considering sex differences and measurement variables like SW, SL, LOL, and ROL. This model is expected to be useful in forensic anthropology and related fields.