This techbrief presents models developed by statistical methods to predict key material properties for portland cement concrete (PCC), chemically stabilized materials, and unbound base, subbase, and subgrade materials. It also presents models to predict design inputs specific to the Mechanistic-Empirical Pavement Design Guide (MEPDG). The models were developed under the Long-Term Pavement Performance (LTPP) data analysis study, Estimation of Key PCC, Base, Subbase, and Pavement Engineering Properties from Routine Tests and Physical Characteristics.