Quantified risk assessment (QRA) plays an important part in feasibility studies and land use planning decisions surrounding gas pipeline infrastructure. QRA routines have evolved with increasingly complex models for describing potential consequences such as fires and explosions. One limitation has always been the assumptions regarding what these fires have been impacting on. This is particularly relevant for long linear assets such as pipelines, which may be surrounded by hundreds, if not thousands, of buildings along the route. This paper outlines a QRA procedure which was developed within a GIS environment to assess Individual and Societal Risk for an intermediate pressure gas distribution system. The significant advantage of this procedure was the integration of commercially available population data sets which provided high resolution and representative results. Similarly, the flexible spatial query capability provided granular repeatability of the process and resulted in detailed profiles for analyses. The data also provided further insights into temporary and vulnerable populations which also aid risk management processes. The paper will also detail the applied methodology and discuss the implications for further developments and enhancements to the QRA procedure within the GIS environment.