Digital Human Modelling by Women (DHMW) is an international group of women and supporters with the main purpose of eliminating the gender gap, empowering women to exchange ideas, results, visions, and promote the women's participation in the STEM (science, technology, engineering, and math) and DHM fields. This study presents a demographic investigation of human factors and behaviors affecting women in the DHM field. A questionnaire composed of several items was set up to analyze the situation: demographic map of women in DHM (age, country, and level of education), the field of application, factors related to career progression, and correct instruments to change the current situation of underrepresentation. Our results show a gap of women working in the DHM field in the industry or research institutes (21% and 8% respectively). While, the 56% are involved in the Academic world, with a 30% PhD and 26% PostDoc level. Worklife-balance (WLB), career progress (CP), family-balance vs career (FB VS C), and work schedule flexibility (WSF) resulted lower in women of 30-34 and 35-39 years old. As a result, it is necessary to adopt strategies focus on support mentoring programs, career progress, childcare support, and flexible work schedule aiming to eliminate women inequality and stigmatization. This will open up borders in Academics, Industry, and Research education closing the gap in the DHM field.
