This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability, and risk at different spatial scales (site-specific, local, regional, and national). It focuses on evaluating the probabilities of different landslide types and their characteristics. The methodologies described include methods for determining the spatial distribution of landslide intensity, characterizing elements at risk, assessing potential damage, and quantifying vulnerability. The paper is intended for use by scientists, engineers, geologists, and other landslide experts. It emphasizes the importance of accurate geological and geomechanical input data and high-quality digital elevation models (DEMs) for performing quantitative risk analysis (QRA). QRA is distinguished from qualitative risk analysis by its use of input data, procedures, and final risk outputs, allowing for objective and reproducible risk quantification. The paper also discusses the temporal aspects of landslide occurrence, the determination of landslide susceptibility, hazard, and risk, and the integration of these factors to calculate risk. It provides guidelines for landslide zoning at different scales, input data requirements, and methods for susceptibility, hazard, and risk assessment. The paper aims to provide a comprehensive framework for researchers and practitioners involved in landslide hazard and risk analysis.This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability, and risk at different spatial scales (site-specific, local, regional, and national). It focuses on evaluating the probabilities of different landslide types and their characteristics. The methodologies described include methods for determining the spatial distribution of landslide intensity, characterizing elements at risk, assessing potential damage, and quantifying vulnerability. The paper is intended for use by scientists, engineers, geologists, and other landslide experts. It emphasizes the importance of accurate geological and geomechanical input data and high-quality digital elevation models (DEMs) for performing quantitative risk analysis (QRA). QRA is distinguished from qualitative risk analysis by its use of input data, procedures, and final risk outputs, allowing for objective and reproducible risk quantification. The paper also discusses the temporal aspects of landslide occurrence, the determination of landslide susceptibility, hazard, and risk, and the integration of these factors to calculate risk. It provides guidelines for landslide zoning at different scales, input data requirements, and methods for susceptibility, hazard, and risk assessment. The paper aims to provide a comprehensive framework for researchers and practitioners involved in landslide hazard and risk analysis.