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Liaison

Demographic Reports

Overview

Demographic Reports provide you with a visual representation of applicants’ demographic-related information. The reports reflect the information that the applicant self-reported in the application. Since the race and ethnicity question is a multiple choice question, applicants who provide more than one answer are grouped into the Two or More Races category (note that since it's possible for an applicant to report more than one ethnicity and race, these counts will not match those found in the Volume Reports). Applicants who did not respond are placed in the Did Not Report category. 

As you review the following reports, refer to the Working with Report Data page for specific information on filters and tooltips. 

Note: gender options vary by CAS. The following examples use a binary answer set. 

Applicant Gender Distribution by Race and Ethnicity

This report provides visualizations for:

  • Applicants by Age Group and Gender
  • Applicants by Ethnicity and Race and Gender
  • Applicant Gender Distribution by Cycle

Using this report, you can identify the composition of your applicant pool by:

  • Age groups according to gender
  • Ethnicities and races according gender
  • Gender

Applicant Gender Distribution by Race and Ethnicity 2.png

Age Group, Race and Ethnicity

This report provides visualizations for:

  • Applicants by Age Group
  • Applicants by Ethnicity and Race

It's similar to the Applicant Gender Distribution by Race and Ethnicity report, except that it doesn't include gender as a variable. Using this report, you can identify the composition of your applicant pool by:

  • Age Groups
  • Ethnicities and Races

Age Group Race and Ethnicity 2.png

Demographic Report Example Scenario

Underrepresented Minorities 

Andrea, the Admissions Director, wishes to benchmark the office’s success in attracting underrepresented minority applicants for the current cycle. She runs the Age, Group, Race and Ethnicity report and finds that there was a higher number of underrepresented minorities in the previous cycle. She then views the data for the current cycle and applies filters to dig deeper. She notices that one particular program, which traditionally sees a large number of applicants who self-report as an underrepresented minorities, is seeing a strong increase in the number of applicants who self-report as White. She saves this information for an upcoming team meeting in which she plans to gain more insight from her team so she can begin to develop an admissions recruitment strategy to correct this trend. 

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