Graduate Employment Rate Calculator: Hired Out of Cohort
Work out a graduate employment rate — the headline outcome metric for any university, program, or training cohort, and the figure that admissions materials cite most often.
Adjust the inputs and select Calculate for a full breakdown.
Compare Common Scenarios
How the numbers shift across typical situations for this calculator:
| Scenario | Employment rate | Unplaced share |
|---|---|---|
| 180 of 200 | 90.00% | 10.00% |
| 60 of 90 | 66.67% | 33.33% |
| 350 of 400 | 87.50% | 12.50% |
| 22 of 50 | 44.00% | 56.00% |
How This Calculator Works
Enter graduates employed within the reporting window and the total graduates in the cohort. The calculator divides one by the other and multiplies by 100 to give the employment rate, with the unplaced share shown alongside.
The Formula
Part as a Percentage of a Whole
Part is the portion, Whole is the total it belongs to
Worked Example
A cohort of 200 graduates with 180 employed within 6 months posts a 90% employment rate, with 10% unplaced. Strong professional programs commonly report 90%+ within 6 months; less specialized or oversupplied fields often report 60% to 75%.
Key Insight
Employment rate is the most-cited outcome metric and the easiest to misread. Definitions matter: 'employed' can include any job (cashier, barista) or only jobs in the field; the window can be 3 months, 6 months, or a year. A 95% rate at 6 months can hide many graduates working outside the field they studied. Read the methodology, not just the percentage.
How law schools were forced to be honest — ABA Standard 509
Before 2010, U.S. law schools published 'employment rate' figures that bundled JD-required jobs, JD-advantaged jobs, and unrelated employment (Starbucks barista, waitress) into a single 'employed' number — typically 90%+ across the bottom-tier law schools. Class-action lawsuits (Strauss v Cooley Law School, McDonald v Thomas Jefferson Law) revealed deliberate misrepresentation: graduates working unrelated jobs were counted as 'employed' alongside Big Law associates.
ABA Standard 509 (effective 2012, refined 2014) now requires law schools to disaggregate: (a) JD-required jobs (bar-mandatory positions); (b) JD-advantaged (lawyers in non-bar-required roles); (c) other professional; (d) other; (e) unemployed seeking; (f) unemployed not seeking. Schools must also publish bar pass rate (first-time and eventual). These data are reported to ABA annually and made publicly available; multiple law schools have lost accreditation for sustained low JD-required employment rates.
Result: law school transparency is now substantially higher than other U.S. professional schools. The 'employment rate' for an ABA law school is the JD-required + JD-advantaged combined figure — typically 85-95% at top schools, 60-80% at mid-tier, and below 50% at lowest-tier ABA schools. Prospective law students can make informed decisions using this disaggregated data. The same model has been proposed (but not implemented) for other professional schools — business, medical, public health, engineering.
College Scorecard — earnings data without selection bias
The U.S. Department of Education's College Scorecard (relaunched 2015, expanded annually since) reports actual earnings of graduates from every Title-IV-eligible program. Unlike self-reported survey data, College Scorecard uses tax records linked to federal financial aid data — capturing ALL graduates including those with poor outcomes who would not respond to a school survey.
Data available: median earnings 1 year and 5 years post-graduation, by program (CIP code, the federal classification of fields of study). Variance is substantial. Computer Science graduates earn $80K-$120K at 1 year post-grad nationally; Art History $35K-$55K; Petroleum Engineering $110K-$140K (limited supply / high demand). Within a single school, programs vary by 5-10× in earnings outcomes — choosing the right MAJOR matters more than choosing the right SCHOOL in many cases.
Critique of College Scorecard data: (1) earnings 5 years post-grad understates lifetime earnings — engineers and lawyers earn dramatically more by mid-career; (2) regional variation isn't always captured — a Stanford CS grad in SF vs an Iowa State CS grad in Des Moines have very different earnings outcomes; (3) self-employment income is captured imperfectly. Despite limitations, College Scorecard is the most honest available data on U.S. college earnings outcomes and should be central to any college / program decision.
U.S. graduate employment outcomes by field (College Scorecard, 5-year post-grad earnings)
Reference 5-year post-graduation median earnings by field of study, drawn from federal College Scorecard data. Within fields, individual school variation is substantial.
| Field | Median 5-yr earnings | Notes |
|---|---|---|
| Petroleum Engineering | $110K-$140K | Highest U.S. major; limited supply |
| Computer Engineering | $95K-$130K | |
| Computer Science | $85K-$120K | |
| Electrical Engineering | $80K-$110K | |
| Finance / Banking | $75K-$105K | High variance by region |
| Mechanical Engineering | $75K-$95K | |
| Civil Engineering | $65K-$85K | |
| Nursing (BSN) | $70K-$90K | Stable employment outlook |
| Marketing | $55K-$75K | |
| Education (Elementary) | $45K-$60K | Low variance; structured pay scale |
| English / Liberal Arts | $45K-$65K | Wide variance |
| Psychology | $40K-$60K | Below national median |
| Visual / Performing Arts | $35K-$55K | Lowest typical earnings |
These are MEDIAN earnings — top quartile in each field earns 30-50% more. Top-school computer science grads earn $110K-$180K starting at Big Tech; bottom-quartile CS grads work in IT support at $50K-$70K. School / region / specific role within field can swing earnings 2-3×. Always compare ranges, not just medians.
Frequently Asked Questions
How is graduate employment rate calculated?
Divide graduates employed within the reporting window by the total cohort, then multiply by 100. 180 hired out of 200 graduates is a 90% employment rate.
What counts as employed?
Definitions vary — some count any job, others count only field-related jobs, and some bundle in self-employment, military, and continuing education. Always check the source's definition.
What window is standard?
Six months post-graduation is the most common reporting window for university outcomes. Bootcamps often use 180 days; some surveys use 3 months. Comparing across windows is meaningless.
What is a good employment rate?
Strong professional programs (nursing, engineering, accounting, law) post 90%+ within 6 months. Liberal arts and some social sciences run lower at the headline level but often converge at longer windows.
Why are reported rates often so high?
Selection bias and broad definitions. Programs that publish only surveyed graduates often report on the most engaged segment; broad definitions of 'employed' lift the rate further. Skeptical reading of the methodology matters.
When is this calculator unreliable?
When the data source is school-self-reported survey data with low response rates (selection bias inflates published rates — graduates with poor outcomes don't respond), when 'employed' is loosely defined to include unrelated jobs, or when the post-graduation tracking window varies (3-month vs 12-month employment rates differ substantially). For honest decision-making, use federal College Scorecard data (tax-record-based, captures all graduates) rather than school-published surveys.
References & Authoritative Sources
- U.S. Department of Education — College Scorecard — Earnings and Employment Outcomes by Program · consulted June 1, 2026 · Federal source for U.S. college outcome data
- American Bar Association (ABA) — Standard 509 — Mandatory Law School Outcome Disclosure · consulted June 1, 2026 · Federal-equivalent disclosure requirements for ABA-accredited law schools
- U.S. Bureau of Labor Statistics — Occupational Employment and Wages · consulted June 1, 2026 · Authoritative U.S. occupational employment and wage data
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Methodology & Review
Graduate employment rate equals graduates employed (in jobs related or unrelated to their degree, per definition) / total graduates × 100. The 'related' subset is often the headline metric for vocational and professional programs — a law school's bar passage and 'JD-required' employment rate is the key consumer-protection number, federally mandated since 2014 (ABA Standard 509). The calculator returns the employment rate. U.S. federal Gainful Employment regulations (Title IV) require career-focused programs to publish employment outcomes; the Department of Education's College Scorecard publishes earnings data for graduates from every Title-IV-eligible program. RELIABILITY: Reliable when collected systematically with consistent definition of 'employed' (full-time vs part-time, related vs unrelated, salaried vs gig). Less reliable when self-reported via surveys with low response rates (graduates with poor outcomes are less likely to respond — selection bias inflates published rates), when 'related' is loosely defined, or when comparing across programs that use different post-graduation tracking windows (3 months, 6 months, 12 months produce different rates).
Reviewed according to the CalcDomain Editorial Policy & Calculator Methodology. We document formulas, edge cases, sources, update dates, and correction paths for calculator pages.
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