Physical inactivity and its accompanying adverse sequelae (e.g., obesity and diabetes) are global health concerns. The single most commonly reported physical activity in public health surveys is walking (Centers for Disease Control and Prevention, 2000; Rafferty, Reeves, McGee, & Pivarnik, 2002). As evidence accumulates that walking is important for preventing weight gain (Levine et al., 2008) and reducing the risk of diabetes (Jeon, Lokken, Hu, & van Dam, 2007), there is increased need to capture this behavior in a valid and reliable manner. Although the disadvantages of a self-report methodology are well known (Sallis, & Saelens, 2000), it still represents the most feasible approach for conducting population-level surveillance across developed and developing countries. The International Physical Activity Questionnaire (IPAQ) was created and evaluated as a standardized instrument for this purpose. Although two versions of the IPAQwere designed and evaluated (short: nine items; and long: 31 items), the short form was recommended for population monitoring (Craig et al., 2003). However, it has not been recommended for intervention or research studies that require precise physical activity quantification to examine changes in physical activity at the individual level. IPAQ was also not intended to replace instruments that are more responsive to individual changes in activity level, such as objective measures. In addition to walking behaviors, IPAQ also assesses time spent in moderate- and vigorous-intensity activity as well as sitting behaviors, although the latter is not the focus of this analysis. Aggregated IPAQ data have been previously validated compared to accelerometers, and overall reliability was confirmed across 12 countries (Craig et al., 2003). Previous research showed criterion validity Spearman correlations with a median of 0.30 and test-retest reliability Spearman correlations clustered around 0.8 (Craig et al., 2003). The purpose of this study, however, was to reanalyze these data with respect to validity (again compared to an accelerometer) and test-retest reliability specifically for population monitoring of walking.