{
    "componentChunkName": "component---src-templates-dar-report-js",
    "path": "/about/reports-and-insights/unpacking-applicant-race-and-ethnicity-part-1",
    "result": {"data":{"nodeDarReports":{"title":"Unpacking applicant race and ethnicity, part 1","field_report_author_source":"Data Analytics and Research","field_summary":"Focus on standard race/ethnicity categories obscures significant variations. For example, Asian applicant growth (+71%) masks \"Other South Asia\" surging (+169%), while Japan declined (-4%). Detailed data reveals dynamic shifts and hidden diversity within groups.","field_link_to_full_report":{"uri":"https://commonapp.org/files/Common-App-Brief-Race-Ethnicity-Pt1.pdf"},"relationships":{"field_image":{"localFile":{"childImageSharp":{"gatsbyImageData":{"layout":"fixed","backgroundColor":"#78a818","images":{"fallback":{"src":"/static/7f55b6afb2aa5838e0055d582e1c5335/acde8/race-ethnicity-part-1.png","srcSet":"/static/7f55b6afb2aa5838e0055d582e1c5335/acde8/race-ethnicity-part-1.png 300w,\n/static/7f55b6afb2aa5838e0055d582e1c5335/5284d/race-ethnicity-part-1.png 600w","sizes":"300px"},"sources":[{"srcSet":"/static/7f55b6afb2aa5838e0055d582e1c5335/3dc06/race-ethnicity-part-1.webp 300w,\n/static/7f55b6afb2aa5838e0055d582e1c5335/939e2/race-ethnicity-part-1.webp 600w","type":"image/webp","sizes":"300px"}]},"width":300,"height":197}}}},"field_components":[{"__typename":"paragraph__breadcrumbs"},{"__typename":"paragraph__fixed_content","field_enable_wide_view_mode":false,"relationships":{"field_items":[{"__typename":"paragraph__plain_area_text","field_title":null,"field_text":{"processed":"<h1 style=\"margin-bottom: 1.1rem;\">Unpacking applicant race and ethnicity, part 1</h1>\n\n<div class=\"publishing-author\" style=\"color:#4a4a4a; font-size:18px; font-family:NeutrifStudio-Bold; margin-bottom: .4rem;\">Data Analytics and Research</div>\n\n<div class=\"publishing-date\">October 17, 2022</div>\n"}},{"__typename":"paragraph__media_with_caption","field_title":null,"field_images":[{"alt":"Cover page, race and ethnicity part 1."}],"relationships":{"field_images":[{"localFile":{"publicURL":"/static/7f55b6afb2aa5838e0055d582e1c5335/race-ethnicity-part-1.png","childImageSharp":{"fluid":{"src":"/static/7f55b6afb2aa5838e0055d582e1c5335/ee604/race-ethnicity-part-1.png"}}}}]}},{"__typename":"paragraph__plain_area_text","field_title":null,"field_text":{"processed":"<p>Detailed race and ethnicity data from first-year domestic applicants are explored, highlighting substantial variations within standard racial and ethnic categories. The analysis examines academic readiness, access to resources, and application behaviors, revealing that applicants’ experiences and needs can vary significantly even within the same broad demographic groups.</p>\n\n<p>Key findings include:</p>\n\n<ul><li style=\"padding-bottom:15px;\">Among non-Hispanic/Latinx multiracial applicants, those identifying as Asian and White had an average SAT score of 1354. Those identifying as Black or African American and Native Hawaiian or Other Pacific Islander had an average of 1093, a 261-point difference.</li>\n\t<li style=\"padding-bottom:15px;\">The average share of adults in applicants' ZIP codes with a bachelor's degree varied significantly across detailed backgrounds, reflecting the diverse educational levels within these communities.</li>\n\t<li style=\"padding-bottom:15px;\">Applicants' behaviors, such as the number of applications sent and the selectivity of institutions to which they applied, showed notable differences across detailed backgrounds within each standard racial/ethnic category.</li>\n</ul><p>These disparities highlight the limitations of using broad racial and ethnic categories to understand applicants’ experiences and needs. Incorporating more detailed demographic data can help better support all students in the college admissions process.</p>\n"}}]}}]}}},"pageContext":{"drupalNodeId":51168,"breadcrumbCategory":null}},
    "staticQueryHashes": ["1128727056","1447239241","146375732","1691914834","1949850552","2029301279","2953445958","3136759198","3290715989","3453976641","3565674923","3833791626","3911218709","963883146"]}