To mitigate the societal impact of vehicle crash, researchers are using a variety of tools, including finite element models. Such models are often developed to represent a 50th percentile male occupant. However, in order to address the effects of size and sex-related geometrical changes, there is interest in developing such models for other cohorts. As part of the Global Human Body Models Consortium project, comprehensive medical image and anthropometrical data of the 5th percentile female (F05) were acquired. A multi-modality image dataset consisting of CT, MRI and upright MRI medical images was developed to characterize the subject in the supine, seated and standing postures. Surface topography and 52 bony landmarks were also acquired for model assembly. The selected subject closely represented the F05 in terms of height and weight, deviating less than 2% in those measures. The volunteer was also compared to 15 external anthropomorphic measurements from Gordon et al. For all 15 anthropomorphic measurements, the average subject deviation across all measures was 4.1%. The multi-modality image set was used to develop and assemble skeletal and organ components of the model. Abdominal organ volumes and cortical bone thickness were compared to literature sources where data was available. Once assembled, the segmented geometries were used for mesh development of the finite element model. Ultimately, the model consisted of 875 parts, 2.4 million elements, 1.3 million nodes, and weighed 49.3 kg. Future work will involve regional and full body level validation. Once validated, the data obtained from this model will be valuable for the development of vehicle safety devices. To date, the data set used for the development of this model is the first of its kind, acquired with the explicit purpose of developing a full-body finite element model of the F05 for the enhancement of injury prediction.