SummaryAlthough maternal deaths are among the most tragic events related to pregnancy, they are uncommon in the United States and therefore, inadequate indicators of a woman's pregnancyrelated health. Maternal morbidity has become a more useful measure for surveillance and research. Traditional attempts to monitor maternal morbidity have used hospital discharge data, which include data only on complications that resulted in hospitalization, thus underestimating the frequency and scope of complications. To obtain a more accurate assessment of morbidity, we applied a validated computerized algorithm to identify pregnancies and pregnancy-related complications in a defined population of women enrolled in a health maintenance organization in the southeastern United States. We examined the most common morbidities by pregnancy outcome and maternal characteristics.We identified 37,741 pregnancies; in half (50.7%), at least 1 complication occurred. The 5 most common were urinary tract infections, anemia, mental health conditions, pelvic and perineal complications, and obstetric infection. We observed that in pregnancies among non-Hispanic White women, low socioeconomic status (SES) had a modest effect on the adjusted odds of preexisting medical conditions [adjusted odd ratio (AOR) 1.33, 95% confidence interval (CI) 1.21, 1.47] or having any morbidity [AOR 1.27, 95% CI 1.16, 1.38]. Low SES had little effect on complications among non-Hispanic Black women. Compared with pregnancies among nonHispanic White women, those among non-Hispanic Black women had more complications and occurred more often in women with low SES; however, SES did not affect their likelihood of morbidity. Even for non-Hispanic White women, the effect of SES was small, suggesting that the influence of SES on the risk of morbidity may be ameliorated by comprehensive health insurance coverage.