Percent zero-car household elasticity Recent working paper: Borowski, Elisa, Ermagun, Alireza, and Levinson, D. (2018) Disparity of Access: Variations in Transit Service by Race, Ethnicity, Income, and Auto Availability. This study explores the relationship between transit-based job accessibility and minority races and ethnicities, low- and middle-income households, and carless households at the block group level for the 50 largest by population metropolitan regions in the United States. A log-linear regression model is used to identify inequities in transit-based job accessibility across the US using data collected from the American Community Survey, the Environmental Protection Agency’s Smart Location Database, and the Access Across America database. The intra-metropolitan analyses reveal that accessibility is unevenly distributed across block groups that have different densities of race and levels of income. The differences in accessibility are especially apparent where there are denser pockets with higher percentages of African Americans, Hispanics, low-income households, and zero-car households. The inter-metropolitan analyses show that accessibility is unevenly distributed across metropolitan regions across the US when considering various sociodemographic populations. Different metropolitan regions provide different levels of accessibility for all investigated sociodemographic categories, whether considering racial minorities, levels of income, or car ownership. The results may inform recommendations for equitable transport planning and policy-making.