Over the past several years, there has been a growing interest in the development of disaggregate (individual- or household-level) travel-demand models. In the case of Florida, this is evident from their efforts to incorporate socio-demographic variables within the FSUTMS structure via "lifestyle" trip production models. However, the lack of a systematic procedure to forecast the household characteristics required by such disaggregate travel-demand models has been recognized as an important impediment to furthering these efforts for state-wide adoption. In this context, the broad focus of this research is to contribute towards the devleopment of methodology for comprehensively forecasting all traveler characteristcs required as inputs to travel-demand forecasting models.