Objective To develop a nomogram for risk prediction of postpartum depression in primiparas, and to provide reference for early screening of high-risk woman and for taking preventive measures. Methods A total of 264 primiparas were investigated with the Edinburgh Postnatal Depression Scale and Zung Self-rating Depression Scale. Risk factors of postpartum depression were identified by logistic regression analysis and then a nomogram was developed and validated. Results Logistic regression analysis indicated that the number of pregnancy ≥3, low education level, unharmonious marital relationship, unsatisfactory living conditions, poor pregnancy outcome, postpartum sleep disturbance and unharmonious family/friend relationship were risk factors of postpartum depression in primiparas (P＜0.05,P＜0.01). Based on the above 7 risk factors, a nomogram was developed with the C-index of0.815. Conclusion Several factors affecte postpartum depression of primiparas and the nomogram can effectively predict postnatal depression.