Health equity advocates have long called for data disaggregation to address health disparities with more representative population data. Data disaggregation involves the breakdown of large categories into specific component parts for further analysis. In racial and ethnic data, aggregated data sets have especially adversely impacted the Asian American population, a heterogenous group with rootsinmorethan 20 countries and wide variations in socioeconomic factors across subgroups. When reported as a whole…