(12) Further, it is critical to disaggregate data further by ancestry to address disparities among Asian American, Native Hawaiian, and Pacific Islander groups. According to the National Equity Atlas, while 13 percent of the Asian population overall lived in poverty in 2015, 39 percent of Burmese people, 29 percent of Hmong people, and 21 percent of Pacific Islanders lived in poverty. (13) Utilizing disaggregation of enrollment in Affordable Care Act-sponsored health insurance, the Asian and Pacific Islander American Health Forum found that prior to the passage of the Patient Protection and Affordable Care Act ( Public Law 111–148 ), Korean Americans had a high uninsured rate of 23 percent, compared to just 12 percent for all Asian Americans. Developing targeted outreach efforts assisted 1,000,000 people and resulted in a 56-percent decrease in the uninsured among the Asian, Native Hawaiian, and Pacific Islander population. Such efforts show that disaggregated data is essential to public health mobilizations efforts. (14) Without clear understanding of how COVID–19 impacts marginalized racial and ethnic communities, there will be exacerbated risk of endangering the most historically vulnerable of our Nation. (15) The consequences of misunderstanding the racial and ethnic impact of COVID–19 expound beyond communities of color such that it would impact all. (16) Race and ethnicity are valuable research and practice variables when used and interpreted appropriately. Health data collected on patients by race and ethnicity will boost and more efficiently direct critical resources and inform risk communication development in languages and at appropriate health literacy levels, which resonate with historically vulnerable communities of color. (17) To date, there is no public standardized and comprehensive race and ethnicity data repository of COVID–19 testing, hospitalizations, or mortality. The inconsistency of data collection by Federal, State, and local health authorities, and the inability to access data by public