Locating statewide crashes for system or facility analyses can be difficult and time-consuming. In many localities, crash data are manually transcribed from paper crash reports and then located, by a separate operator, on a linear reference scheme. Data quality and quantity reduce an operator's ability to accurately identify route and milepoint locations for a large percentage of crashes. A study of crash data in Georgia has identified potential location errors. The study also revealed that numerous technical solutions such as improved data transcription guidelines, multiple public and private road databases, geographic information systems, and standard relational databases potentially can strengthen the functionality of crash location systems. An analysis of an existing crash location procedure is described, and alternative techniques designed to speed the location process and improve location accuracy are discussed.