Objective To evaluate the quality on the network reporting death data in Anhui national disease surveillance points (DSPs), analyze the existing problems. Methods A stratified cluster random sampling method was used to evaluate the quality of the network reporting death data in Anhui DSPs from 2013 to 2017. Results From 2013 to 2017, the average annual accuracy rate of identity card number (ID), the death-causes chain, the basic death cause and code of the network reporting death data in Anhui DSPs was 85.83%,64.14% and 82.19%, respectively. Of them, the accuracy rate of the first two indexes increased year by year (P<0.05), the accuracy rate of the third index in 2017 increased by 2.77% compared with that in 2013.The accuracy rate of the three indexes between new DSPs and old DSPs was shrinking year by year.The same is true between urban and rural areas. With the exception of the accuracy rate of the basic death cause and code, the accuracy rate of other index in new DSPs were better than that of old DSPs. Between urban and rural areas, the accuracy rate of ID in urban areas was higher,the accuracy rate of the death-causes chain in rural areas was higher, and there was no difference on the accuracy rate of the basic death cause and code.The loss or error of disease code in the death-causes chain and the inaccuracy of multiple death-causes chain were the main types of errors in the death-cause reporting. Conclusion From 2013 to 2017, the quality of the network reporting death data in Anhui DSPs is constantly improving, but there is still room for improvement.While strengthening training and supervision,CDC at all levels should strictly control the quality of audit work, and regularly carry out sampling audit work,in order to find and solve problems timely.