The research was conducted with the aim of indicating whether the independent variables - gender of respondents, age, school attendance, material status and employment of parents are decisive, in terms of the impact of family cohesion on youth life satisfaction. The research was conducted in Novi Pazar on a sample of 200 adolescents in three high schools. The sample includes female respondents (43%), male respondents (57%) aged 15 to 18, the different material status of the family, school success and structure based on parental employment. In accordance with the problem and the goals of the research, the following measuring instruments were applied:" Life satisfaction scale which consists of 20 items. Seventeen items refer to the assessment of global satisfaction, while three items are used to assess situational satisfaction" - (Zvjezdan Penezić, 1996). "The scale was created by including the scale of life satisfaction (Satisfaction With Life, Larsen et al., 1985) and consists of 5 items of the scale of general satisfaction (Benzinović, 1988) consisting of 7 items, 5 items from the scale of positive attitudes towards life (Positive Attitudes Toward Life)". , Grave, 1995), and 3 items from the Life Enjoyment Scale for assessing situational satisfaction (Joyin Life Scale, Grave, 1995):" FACES IV Scale designed to assess the dimensions of family cohesion and family flexibility "(Olson, Gorall, & Tiesel, 2006). FACES IV contains 62 items, 42 items from FACES IV, 10 on family communication and 10 on family satisfaction. FACES IV measures the dimensions of family cohesion and family flexibility: A personal data questionnaire designed for research purposes will contain questions related to general data on respondents (gender, school performance, age, parental employment, family material standard). For data processing and determining the degree of expression of basic research variables used are: descriptive statistics techniques-arithmetic mean and standard deviation, and inference statistics through correlative techniques to determine the degree and direction of correlation of independent and dependent variables (Pearson correlation coefficient) as well as t-test and analysis of variance, to determine the significance of differences between arithmetic means.