Results of a statistical analysis of transport properties measurements carried out on a number of concrete mixtures are presented. Migration and drying experiments were performed to evaluate the ionic diffusion coefficients and permeability of concrete mixtures. Seven concrete mixtures were tested. The mixtures were either batched under laboratory conditions or sampled from construction sites. For each mixture, approximately eighty concrete samples from a single batch were tested. Ionic diffusion coefficients were calculated by analyzing the evolution of the electrical current passing through concrete samples during the migration tests. Calculations took into account the volume of permeable pores of the materials and the pore solution chemistry. Permeability was calculated from mass loss measured during drying tests. The study indicates that the coefficient of variation of ionic diffusion coefficients is 11.1 % on average, with a maximum of 23.5%, and that the coefficient of variation of permeability is 20.6% on average, with a maximum of 37.3%. Keywords Concrete • Variability •Transport properties • Service life Accordingly, the construction industry started to develop new approaches to increase the service-life of concrete structures. Traditional prescriptive methods, still very much in use today, are in many cases replaced or combined with performance and design specification. In this approach, criteria for durability, such as a targeted service-life duration, are specified. This type of approach was progressively added to construction codes. For example, language for performance specification was incorporated in Canadian standard CSA A23.1-04 1 [9], and defined as a method for specifying a construction product in which the final outcome is given in mandatory language, in a manner that the performance requirements can be measured by accepted industry standards and methods. The Unified Facilities Guide Specification (UFGS), issued by U.S federal agencies in 2010, is another construction guide that incorporates performance-based language for new concrete construction [17]. This new trend in construction methods prompted in recent years the development of numerical tools to support asset management and decision-making to optimize design, service-life, and maintenance of new and existing structures. Reactive transport models dedicated to the prediction of chloride ingress and other deleterious species in reinforced structures became a central element of this new emphasis on long-term service-life predictions [8, 25].