Objective: To estimate the prevalence of anxiety and depression symptoms during pregnancy among women from six districts of China and to explore the determinants of anxiety and depression during pregnancy. Methods: A cross-sectional study of maternal health status was conducted using the probability proportionate to size sampling method among pregnant women from six counties/districts in six provinces of China (Hebei, Liaoning, Fujian, Hunan, Sichuan and Yunnan). A questionnaire was completed by each of the women included in the study from August to December 2014. Women were recruited from three medical and health institutions with the most obstetrics patients in each district. A total of 4 210 pregnant women were included in the investigation. The hospital anxiety and depression (HAD) scale was applied to measure the symptoms of anxiety and depression in the pregnant women. Trend chi square test was used to assess the differences of anxiety and depression symptom among three trimesters. The multivariate logistic regression model was used to investigate potential contributory factors. Results: The detection rates for anxiety symptoms and depression symptoms during pregnancy were 8.5% (357/4 210) and 12.5% (525/4 210), respectively. The prevalence of anxiety symptoms during the first, second and third trimesters were 7.9% (110/1 392), 8.8% (124/1 413) and 8.8% (123/1 405), respectively (χ2trend=0.89, P= 0.419). The prevalence of depression symptoms during the first, second and third trimesters were 14.0% (195/1 392), 12.6% (178/1 413) and 10.8% (152/1 405), respectively (χ2trend=6.52, P=0.011). Multivariate logistic regression analysis showed an increased risk of anxiety and depression in women with an educational background of middle school rather than a college degree (OR=1.94, 95% CI: 1.44-2.63; OR=3.80, 95% CI: 2.45- 5.91). Furthermore, compared with planned pregnancies, women with unplanned pregnancies had a higher risk of anxiety and depression (OR=1.33, 95% CI: 1.06- 1.66; OR=1.35, 95% CI: 1.07- 1.71). Pregnant women who felt they lived in crowded residential conditions were at an increased risk of anxiety compared with those living in spacious residential environments (OR=1.82, 95% CI: 1.15- 2.87). Pregnant women with a household income of less than 10 000 yuan were at a higher risk of depression than living in a household with an income of ≥100 000 yuan (OR=1.91, 95% CI: 1.05-3.49). Similarly, multiparous women (≥2) were at higher risk of depression compared with nulliparous women (OR=1.88, 95% CI: 1.04- 3.41). Conclusion: The prevalence of anxiety and depression symptoms during pregnancy appears to be associated with several demographic factors, along with a women's obstetrical history. Lower educational background, unplanned pregnancy, the feeling of living under crowded residential conditions were all found to be risk factors for anxiety during pregnancy. Similarly, lower educational background, unplanned pregnancy, a lower household income (<10 000) and a greater number of previous deliveries were all risk factors for depression during pregnancy.