ABSTRACT: Many developing countries have adopted Community- Based Health Insurance (CBHI) methods as a part of a broader solution to health care financing problems in their countries. Despite of its advantages, Community Health Fund Schemes (CHFs) are faced with low enrolments. Thus, this paper aimed at analysing sociodemographic factors influencing community enrolments in CHF in Mkalama District, Central Tanzania. Household questionnaire survey and key informant’s interviews were used as methods for data collection. Logit regression model was used to evaluate factors influencing community to join the scheme. The results showed that community awareness, premium affordability and community participation were significantly positively correlated with membership, while the distance was statistically significantly negatively correlated with membership. Other variables such as age, marital status, education level, improvement of quality of health services and household size though not statistically significant, had positive correlation with membership. Gender had insignificantly negatively correlated with membership. Therefore, CHF design needs to recognise these factors and build in mechanisms to attract members by enhance enabling factors while reduce constraining factors.