Recruitment: A Respondent-Driven Sampling (RDS) strategy will be used to recruit community participants in this project. RDS is an effective method for recruiting "hidden" populations, such as refugee populations and when participant behaviors are stigmatized. The RDS is an advanced adaptation of the traditional snowball sampling method; a small number of selected initial recruiters (socially connected community mobilizers and organizations) generate a list of potential recruits from their social networks, connections and community memberships. They are given distinctive identifying coded coupons and incentives to create the first wave of recruits. The first wave of recruits will also be incentivized to recruit a second wave, and so on; the wave after wave recruitment cycle will continue until equilibrium is attained and sample size is achieved. We performed a precision analysis to estimate a sample size based on the prevalence rate of FGC in the population, the margin of error desired, the confidence interval, the total population size, the expected attrition, and the design effect from using RDS. We expect 40 percent attrition, with a population size of about 3,300 women, and a RDS design effect of 2, thus a need to retain 2,040 women in the sample. Data Management: Each questionnaire will be given a unique identifier code to match coded coupons of the community mobilizer to identify the specific wave it originated from. Data entry will occur in the field, completed by surveyors, eliminating the need for further entry processes so that preliminary analyses will proceed concurrently. CHNA results will inform the educational training among health and social service providers as well as community educational outreach for providers and community members.