Data about commuting behaviors are critical for understanding workers’ daily travel experiences, transportation infrastructure needs, and economic interconnectedness. The federal statistical system uses multiple approaches to collecting commuting data, yet there are limited published comparisons of available data sources. This working paper examines how two flagship U.S. Census Bureau surveys – the Survey of Income and Program Participation (SIPP) and the American Community Survey (ACS) – capture information about commuting modes, home-based work, travel time to work, and commuting expenses. Along with discussing data availability and measurement considerations, we compare estimates from both data sources for 2013 to 2021, a period marked by notable changes in commuting patterns. We also discuss exemplary use cases, highlighting how commuting data from the SIPP and the ACS lend themselves to distinct applications. Through this overview and comparison, we demonstrate how the SIPP and the ACS can meet commuting-related data needs.