Data Disaggregation

Improving the current practice of data collection, which aggregates AAPI subgroup data and masks disparities of underserved AAPI communities, ranks among our highest priorities in the context of education.

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A major hurdle to President Obama’s 2020 goal is the practice of data collection that aggregates AAPI subgroup data and masks disparities of underserved AAPI students.

Disaggregated data will help us target resources where they’re most needed – in high schools where almost half of Cambodians aren’t earning a diploma, in colleges where only 14.7 percent of NHPIs graduate, and in communities where the average per capita income of Hmong Americans is lower than any racial group nationwide. As a part of the Initiative’s efforts, we disseminated a Request for Information (RFI) that helped to survey state educational associations, local education associations, and institutes of higher education about their disaggregation practices and policies. Through the RFI, we were able to collect information about successful practices and policies that schools are using to disaggregate AAPI student data, and the barriers that preclude the collection of disaggregated data.  We then gathered data experts, school administrators, researchers, advocates and philanthropic organizations for a major convening in June 2013 to discuss these findings and encourage collaboration across all these institutions.

Data Resources