Disaggregated data that reflects the needs for services and resources in low-income AAPI communities

    Ensure that federal agencies better collect data on AAPI communities overall – disaggregating existing data sets and increasing investment in obtaining better data that reflects the needs of low-income AAPI communities. Specific examples include:
    • 2017 Housing Vacancy Survey: Improved data collection in areas of high concentration of poverty will better inform all HUD programs as well as serve to leverage local and regional resources aimed at alleviating poverty. Additional surveying focused on top MSAs will reveal specific areas of need within low-income AAPI communities.
    • Home Mortgage Disclosure Act (HMDA): Include disaggregated data on AAPI borrowers and language preferences in the Home Mortgage Disclosure Act.
    • Census 2020: Improve data collection to capture sub-populations, as well as greater investment in outreach efforts in regions where low-income AAPIs reside.
    • Collect disaggregated AAPI data on small business lending and practices.