Abstract: Quantitative risk assessment of individual landslide has always been a focal and challenging aspect of landslide research. The quantitative calculation of individual landslide risk and analysis of landslide risk during different rainfall return periods is of great significance for landslide risk prevention and control. The authors took Laodianfang landslide in Sangzhi County of Huaihua City as the research object and combined Gumbel distribution theory, landslide disaster intensity, and vulnerability quantitative assessment to establish the method and evaluation process of the quantitative assessment of individual landslide disaster risk. The economic losses and casualty risks of Laodianfang landslide under different rainfall conditions have been obtained, and a method for comparing and selecting optimal landslide risk prevention and control schemes has been proposed. The results are as follows. ① The movement characteristics of the landslide mass and the distribution and vulnerability of the disaster bearing bodies within the influence range should be comprehensively considered during landslide risk assessment. And the qualitative-quantitative combination method should be adopted to ensure the accuracy and scientificity of the assessment results. At the same time, the risk assessment results can be used to determine differentiated landslide prevention and control measures to achieve the optimization of economic, social, and environmental benefits. ② The casualty risks and economic risks during 20-year and 50-year rainfall return periods both have increased by 11.41% and 18.64% compared with those during 20-year rainfall return period. This indicates that as the rainstorm return period extends, the indoor personnel and economic risk values within the landslide area also show an increasing trend. ③ The overall treatment measures of anti-slide piles and drainage ditches were adopted after comparing various risk control schemes. The research results could enrich the theoretical system of landslide disaster risk assessment and provide scientific basis and technical support for the government and relevant departments to formulate scientific and reasonable prevention and control strategies.