This study aimed at investigating how income, culture, and language affect health care access. Data from a structured questionnaire administered to a random sample of 206 Latinos was analyzed using multivariate logistic regression. Qualitative data served to explain quantitative results. Point estimates for various access measures were similar to national data. In multivariate logistic regression, income and education determined having health insurance (OR 6.8 and 7.4; 95% CI 2.7-17.3 and 2.9-19.0, respectively). Time in the U.S. and health insurance determined having a regular source of care (OR 4.6 and 5.8; 95% CI 1.7-12.8 and 2.1-16.0, respectively). Having a source of care and being female determined visit to the doctor in the past year (OR 6.14 and 6.73; 95% CI 2.3-16.5 and 2.4-19.3, respectively). Language and culture showed no statistically significant effect on access measures, but qualitative data showed they were related to health care barriers.