The Census Bureau annually releases Supplemental Poverty Measure (SPM) estimates using data from the Annual Social and Economic Supplement of the Current Population Survey (CPS ASEC). However, since the Bureau recommends the use of the American Community Survey (ACS) for poverty estimates for sub-national geographic units, it is important to explore how this new measure can be estimated from ACS data. The challenge in this endeavor is that the ACS is missing a number of key data elements required to produce SPM estimates, including program participation, the value of SNAP benefits, taxes, child care expenses, medical out of pocket expenditures and some relationship codes. This presentation explores how these data limitations might be overcome. Building on the extraordinary work at the state and local level using the ACS to develop SPM-like estimates, this paper develops a proposal for how the Census Bureau might produce SPM estimates using ACS data to create a consistent measure that would allow for state and sub-state level comparisons. This presentation was prepared for the ACS Data Users Conference held Alexandria, VA on May 11-12, 2017.