Bias may be introduced in survey data collection when participants answer questions differently depending on interviewer gender. This could affect the validity of collected data, especially sensitive data. Using sexual behavior data collected in a 2017-2018 cross-sectional survey of Haitian women (n = 304), we evaluated the associations between interviewer-gender and three different outcomes: (1) question-specific response rates, (2) total number of non-responses, and (3) differences in reported answers. We observed higher item response rates for sensitive sexual behavior questions when the interviewer was female and more item non-responses (Don't know/Refuse) when the interviewer was male. Among those who did respond, participants were more likely to report some sensitive sexual behaviors to women and others to men. We conclude that researchers should consider the sociocultural norms of the study population and the potential for interviewer gender bias in the planning and analysis phase of studies using self-reported data.