This paper analyzes the variability of travel behavior by day of the week and among individual persons, using data from three waves of a panel in South Australia. A previous analysis had been based on the first wave of this panel. The analysis herein provides further insights into the potential benefits of using multiday data for modeling travel behavior and opens up the potential of undertaking a variety of analyses that are not currently possible with 1-day data. As in the first analysis, this paper examines the effect of additional days of measurement on such measures as the number of daily trips, the travel time per trip and per day, and the travel distance per day and per trip. The study analyzes the change in the means of each of these values as additional days of data are considered and also the changes in the estimates of the variances of each statistic. This study also separates out the effects of weekdays and weekend days and considers the implications of these data on sample sizes for modeling purposes and the likely effects on the goodness of fit of models built on multiday data versus the more traditional 1 day of data.