This paper presents preliminary estimates of the target crash populations that could be addressed by automated light vehicles. These estimates are derived from a method that identifies automated vehicle functions, their automation levels, and operational characteristics; maps this information to five layers of crash information including crash location, pre-crash scenario, driving conditions, travel speed, and driver condition; and then queries the General Estimates System and Fatality Analysis Reporting System crash databases. This paper focuses on automated vehicle functions at automation levels 2 through 4 as defined by the National Highway Traffic Safety Administration. This paper also details an approach to account for levels 0 and 1 automated vehicle functions and their applicable safety benefits when estimating target crash populations for automated vehicle functions at levels 2 through 4. Target crash populations are quantified in terms of the annual frequency of all crashes, fatal-only crashes, and comprehensive costs broken down by level of automation. The L2-L4 concept automated vehicle functions address single-vehicle crashes such as road departure, pedestrian, and animal crashes; and multi-vehicle crashes such as rear-end, lane- change, opposite-direction, and intersection-crossing-path crashes.