This paper presents a social work study on relationship between various family characteristics and street children in rural area as well as city of Esfahan, Iran. The proposed study selects a sample of 150 street children, 75 from city and 75 from rural area, and using some statistical tests verifies the effects of three factors including family income, place of residency and family size on street children. The results indicate that the city residence had more street children than rural residence did. In addition, there was a meaningful difference between the number of street children in low-income families and high-income families. Finally, the survey results indicate that big size families more likely suffered from street children than low size families did.

We present a study to investigate the impacts of various factors on juvenile delinquency. The study distributes 400 questionnaires among young people aged 19-26 who are involved with some sort of crime and analyzes their feedbacks. There are three hypotheses including family income, tendency to spirituality and religion and educational backgrounds of families and juvenile delinquency among these people. The results show that while family income and religious as well as spirituality characteristics play important role on juvenile delinquency, educational background of the parents do not statistically have any influence on juvenile delinquency. The study recommends that a better family condition could contribute society to reduce juvenile delinquency and people could guide their children through better consultations.

The study investigates different factors influencing people to have more stress in a hydropower unit located in city of Esfahan, Iran. Since there were only 81 people working for customer service section of this company and the proposed study tries to focus only on this part of the firm we have decided to distribute questionnaires among all of them. The questionnaire consists of two parts, in the first part, we gather all private information such as age, gender, education, job experience, etc. through seven important questions. In the second part of the survey, there are 66 questions, which include all the important factors influencing employees & apos; stress. Cronbach alpha is calculated as 0.946, which is well above the minimum acceptable level. The results of our ANOVA tests shows that among different factors, difficulty of working condition as well as work pressure are two most important factors increasing stress among employees. The other findings indicate that there is not a significant difference on work stress among different groups of employees in terms of their job title, educational level, employment type and gender (P & GT; 0.05). The other finding indicates that there is a meaningful difference between different groups of people with various ages, marital status and job experience (P & GT; 0.05).