From the perspective of leading authors of “Statistical system of largescale natural disasters damage and loss” (SS-LNDD&L), this article elaborated on the main contents, scientific issues and research fields in the future of the SS-LNDD&L. SS-LNDD&L defined the starting conditions, forms of organization, the statistical scope, main contents and time limit, which had the scientific, comprehensive, practical and dynamic features. There were five new advances in statistics of large-scale natural disaster damage and loss based on the SS-LNDD&L. ①SS-LNDD&L had the coordination with relevant national standards of “Classification and code for natural disaster bearing bodies”, and “Classification and code for national industry” and so on. ②SS-LNDD&L was improved by the several large-scale disasters, such as the Wenchuan Earthquake, Yushu Earthquake, Zhouqu flash flood and landslide, Lushan Earthquake and some tables and indices were added, deleted or revised based on the local households’experiences. ③SS-LNDD&L was established based on many advices and suggestion from more than 30 agencies of National Disaster Reduction Committee and some tables and indices were recommended by the agencies. ④SS-LNDD&L could be applied to many sudden disasters, such as the flood, typhoon, earthquake, landslide, snow, tsunami and so on. Especially, multi-hazards and disaster chain’s damage and loss also could be covered by this statistics system. ⑤SS-LNDD&L was an important and practical support material for post disaster restoration and reconstruction planning; for example, the tables and indices from the SS-LNDD&L were used in the “The State Overall Planning for Post-Wenchuan Earthquake Restoration and Reconstruction” and “Overall Planning for Post-Lushan Earthquake Restoration and Reconstructio”.Otherwise, SS-LNDD&L provided legal basis for carrying out comprehensive assessment of large-scale natural disaster loss and will have great potential to carry out the special in-depth studies of disaster related industry sectors and lead the local relevant departments to establish the correlative statistical systems.