Gender Distribution shows the gender diversity of your applicants based on self-reported data.* The image below displays example results.
Some Ways to Use This Metric:
Enhance Admissions Decisions
You may aim to achieve gender balance within an incoming class to foster diverse perspectives, experiences, and contributions across disciplines and programs. Analyzing self-reported gender data can help identify gender disparities in applicant pools.
Strengthen Outreach and Marketing
If the data indicate a gender imbalance in the applicant pool, outreach efforts might be tailored to encourage more applications from the underrepresented gender. This might include hosting events or webinars, highlighting role models of that gender within the field, or building partnerships with organizations that promote gender diversity in education.
Promote Retention
Should a correlation between gender and retention reveal disparities, consider promoting support resources designed to enhance gender retention.
Assess Program Popularity
If a correlation between gender and program popularity shows disparities, explore using gender data to assess and refine program offerings for wider appeal. Additionally, prioritizing applicants from the underrepresented gender could help achieve better program balance.
While using gender diversity data may help build a more representative student body, there are of course ethical considerations such as ensuring that diversity efforts align with broader policies on fairness and nondiscrimination.
*About Metrics:
Dashboard metrics display information about TOEFL iBT test takers who applied to your institution and are based on information provided to ETS by those TOEFL iBT test takers.
Metrics reflect the number of score reports received by your institution, which may differ from the number of applicants.
Metrics are reported when there are 10 or more scores in a selected date range.