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Table: University Enrollment by Subject Report (Band 9)

Band-9 Task 1 report on a university-enrollment table, with gender-gap analysis, triage technique, and education vocabulary.

By Deep Bikram, IELTS Content Lead & Assessment Specialist · Reviewed by Sarah Chen · Updated

The table shows the percentage of male and female students enrolled in six university subjects. Summarize the information by selecting and reporting the main features.

A Band-9 model report

The table exposes stark gender sorting across disciplines: engineering and computing skew heavily male, nursing and education heavily female, with business and medicine near parity.

Overall, the gaps are largest at the extremes — engineering is 82% male while nursing is 79% female — whereas business splits almost evenly at 52% male to 48% female. Medicine approaches balance at 55–45, suggesting convergence where prestige and pay are highest.

The male-dominated pair is emphatic. Engineering enrolls 82% men against 18% women — more than a four-to-one ratio — while computing shows 74% male to 26% female. These are the table's most lopsided figures, reflecting pipeline and cultural patterns that outreach programs have barely dented.

The mirror image appears in care fields: nursing at 79% female, education at 68%. Business (52/48) and medicine (55/45) demonstrate that parity is achievable — and notably, both are high-status, high-earning paths, hinting that gender balance follows perceived value.

The pattern suggests sorting by stereotype except where money overrides it. Prestigious paths attract both genders; gendered expectations govern the rest. Enrollment, the table implies, encodes culture more than choice.

(198 words)

Examiner notes: why Band 9

Task Achievement (9): Overview quantifies extremes and parity cases upfront. Every subject covered via grouping (male pair, care pair, parity pair) — complete without row-by-row listing.

Coherence & Cohesion (9): Extremes/mirror/parity sequence with the value-hypothesis close. "Skew," "mirror image," "encodes" sustain analytical register.

Lexical Resource (9): Gender-data precision: "sorting," "skew heavily," "lopsided," "parity," "pipeline patterns," "encodes culture." Sophisticated, sensitive, exact.

Grammatical Range & Accuracy (9): Em-dash qualifications, colon-led findings, concessive clauses. Clean.

High-scoring phrases

  • gender sorting — distribution pattern (precise term)
  • skew heavily — tilt strongly
  • lopsided figures — uneven numbers
  • barely dented — minimally affected
  • mirror image — reversed pattern
  • encodes culture — reflects norms close

Quick answers

How do I handle gender-split tables?

Lead with the gap direction per subject: male-dominated engineering, female-dominated nursing. Gap patterns are the story; totals are context.

Percentages within rows or columns?

Clarify the base in your introduction: share of each gender cohort enrolled per subject. One base sentence prevents all confusion.

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