This paper studies the effecting factors of occurrence in Vandalistic behavior of male and female students of Koutabdollah district of Ahwaz. According to the considered theories, the relationship between gender, socioeconomic status, educational achievement, interpersonal variables (including feelings of relative deprivation, discrimination, self-esteem, continence), and social link (home, school& friends) with incident Vandalistic behaviors are investigated. 

Survey method is used and to select the statistical sample, classified random sampling method is applied and sample size of 385 students was selected using Cochran formula. Data collection tool in this study was questionnaire and the hypotheses are analyzed using Pearson's correlation test, T test and multi-factorial regression. Results illustrate that with the exception of gender, there is relationship between all mentioned variables with Vandalism. As the research model could specify 50 percent of the independent variables variance with dependent variables, we can claim that it has a noticeable predictive power.

Vandalism is one of deviations of the modern society caused by rapid social changes, the growth of anomie, growing desires of humans, and their frustration at failing to satisfy such desires. Sociologically, vandalism is defined as the malicious behavior involving deliberate destruction of, or damage to, public or private property. This survey aimed to study the social factors affecting vandalism. The statistical population consisted of youth aged 15-20 in Lordegan, Iran. A total of 360 were enrolled as the sample using the Morgan table. Multistage cluster sampling was employed. Data were collected using the (Javaher Chian, Master thesis in sociology, 2013) Standard Questionnaire. Data were then analyzed using the descriptive statistics, Pearson correlation, and multiple regression method. Findings showed that use of mass media, association with offenders, and alienation had a positive, significant relationship with the dependent variable. Social bond, however, had an inverse, significant relationship with the dependent variable. The results of multiple regression method showed that, in total, independent variables explained 21.6% of dependent variable variance.