How to Read College Alumni Employment Data Without Getting Fooled

Many college outcomes pages lead with something like "93% employed within six months of graduation." It's a clean, confident number. But it answers almost none of the questions that actually matter: Employed doing what? At what salary? Full-time or part-time? Does "93%" cover everyone who graduated, or just the third of them who happened to open a survey email and write back?

If you've been taking these statistics at face value, you're not alone. Most families do. And most schools know it.

What "Employed" Actually Means on Those Statistics Pages

The word "employed" does serious work in alumni outcome reports — usually more than the school admits. Under NACE (the National Association of Colleges and Employers) standards, which many institutions use as their reporting framework, "employed" can include full-time positions, part-time jobs, contract roles, freelance gigs, and jobs with no connection to the graduate's field of study.

A barista with a philosophy degree counts. So does the pre-med graduate who couldn't get into medical school and took a temp receptionist role while reapplying. Neither outcome is a catastrophe, but neither is what most families picture when they see a 90-something percent employment rate.

Some schools do break out "employed in a field related to major" as a separate metric — look for that distinction. If an outcomes report doesn't specify relevance to the degree, that omission is already telling you something. Ask the admissions office directly for field-relevant employment rates and notice how they respond. Some will have the number ready. Many will pause.

The Survey Problem Nobody Talks About Enough

Here's where things get genuinely tricky. Most colleges don't actually know what their graduates are doing. They send surveys. Graduates may or may not respond. And the people most likely to respond are, predictably, the ones with something to celebrate.

Traditional alumni survey methods typically capture outcomes data from only 30 to 40 percent of graduates. That's not a fringe problem; it's industry standard. A "92% employed" rate might accurately describe the 35% of grads who responded while telling you nothing about the other 65%.

NACE addresses this with a concept called the "knowledge rate" rather than a simple response rate. Instead of counting only graduates who filled out a form, institutions can combine survey responses with LinkedIn searches, employer records, licensing database checks, and registrar data. NACE's target is a 65% knowledge rate — meaning outcomes are confirmed for at least 65% of graduates through multiple combined sources.

This distinction matters enormously. When you look at a school's outcomes data, ask whether their knowledge rate meets the 65% bar. A school reporting a 92% employment rate based on a 25% survey response rate has given you almost no reliable information.

Montgomery College in Maryland represents what serious data collection looks like: they cross-check graduates against licensing records, state wage databases, and LinkedIn. Most schools send an email and call it done.

The College Scorecard: Useful, but Know Its Gaps

The U.S. Department of Education's College Scorecard is the most widely-used independent tool for evaluating institutional outcomes. It reports median earnings by school and program using IRS tax records, measured roughly four years after graduation. Real data, not self-reported surveys. That's a meaningful step up.

But the Brookings Institution's analysis identified several structural problems.

The biggest one: it only covers students who received federal financial aid. Graduates from wealthier families who paid out-of-pocket — roughly 30% of students at some schools — aren't in the dataset. These students tend to earn more, so the Scorecard can systematically undercount earnings at schools serving more affluent populations.

Attribution is also messy. The Scorecard assigns earnings outcomes to every institution a student attended with federal aid, even if they only enrolled briefly before transferring. So you may be looking at outcomes for people who barely touched the school you're researching.

There's also a selection bias that cuts the other way. Brookings documented a -0.56 correlation between Scorecard earnings and the proportion of Pell Grant recipients a school serves. Schools that enroll lower-income students show lower median earnings not necessarily because the education is worse, but because their students started from different economic footing. Comparing Scorecard figures across vastly different institutional types — say, a flagship state university versus a community college — without accounting for this is an apples-to-oranges exercise.

Use the Scorecard as a starting point. Just don't stop there.

Why Program-Level Data Beats School-Level Averages

Here's a scenario worth sitting with. Two students attend the same state university. One majors in electrical engineering, the other in child and family studies. Four years out, the engineer earns around $108,000; the child development specialist earns around $39,600 (based on national field-level averages). The institution-level Scorecard median? Something in the middle that accurately describes neither of them.

School-wide employment statistics are almost always too broad to be useful for your actual decision. You're not choosing a school in the abstract — you're choosing a program. Nursing outcomes at a given institution tell you nothing about the outcomes for that same school's creative writing graduates.

The Scorecard now covers more than 45,000 programs at the field-of-study level, which is a real improvement over earlier versions. Go there first, filter by institution and field, and compare programs against each other across schools (not schools against schools in the aggregate).

Statistical reliability is a separate problem at the program level. When you're looking at employment rates for, say, astrophysics majors at a smaller institution, you might be working with a sample of 12 or 15 graduates. The Economic Innovation Group's analysis found that for physics majors specifically, the confidence interval around unemployment rates spans from roughly 2% to 12% — a range so wide the number tells you nothing actionable. Treat small-sample major-specific statistics with genuine skepticism.

Red Flags That Should Make You Stop and Dig

Not all misleading employment data is accidental. The Hechinger Report documented cases where schools counted temporary university-sponsored positions (jobs institutions created specifically to boost placement numbers) as successful graduate placements.

Here's a real example of how technically accurate data can mislead. Washburn Institute of Technology in Kansas reported a median salary of $17,331 for computer networking certificate graduates in federal Education Department records. The school's own program page, citing Kansas Labor Department figures for an identically-named active program, listed a $68,618 salary outlook. Both numbers came from official government sources. Neither was fabricated. But they measure completely different things — and a prospective student who saw only the school's version would walk away with a dramatically skewed picture. That's not a coincidence; it's a choice about which number to show.

Watch for these specific signals:

• No methodology disclosed: If the outcomes report doesn't explain how data was collected, treat the numbers as a marketing brochure.
• No response rate or knowledge rate listed: A school that doesn't say what percentage of graduates are represented in the statistics is concealing something relevant.
• "Employed or continuing education" bundled together without separation: This combination can push reported positive outcomes above 95% at almost any school, because it includes everyone who found a job AND everyone who went back to school because they didn't.
• Salaries sourced from labor market projections, not actual graduates: Some schools report what graduates "can expect to earn" based on Bureau of Labor Statistics occupational outlooks, not what their own alumni actually earned. Those are very different claims.
• Only six-month data, nothing longer: First-destination surveys capture a snapshot. Schools that only publish six-month numbers may be hiding the fact that early placements didn't last, or that earnings plateau quickly.

Better Data Sources and How to Use Them

Beyond the College Scorecard, a few other tools give you more reliable signal.

LinkedIn data is self-reported and skews toward white-collar industries (which is a real limitation), but it's useful for seeing where graduates actually land and what their career trajectories look like over time. Search a school's alumni on LinkedIn, filter by graduation year and field of study, and you get a rough but real picture.

State wage record matching is the gold standard for employment data. Some states publish outcomes using unemployment insurance records, which captures actual wages regardless of whether a graduate responded to any survey. The Chmura Economics Institute and similar services aggregate this for institutions in participating states. If your state has a public higher education transparency report built on wage records, that data is more reliable than almost anything a school self-reports.

Ask for longitudinal data. Six-month earnings are one data point. Three-year and five-year figures tell you whether alumni are building careers or stalling out. Schools with strong outcomes at five-plus years post-graduation are producing durable value; schools with strong six-month numbers that go quiet afterward may simply be placing students in their first jobs, not their careers.

Data Source	Strength	Limitation
NACE First-Destination Survey	Detailed, standardized categories	30–40% response rate typical; self-reported
College Scorecard (IRS data)	Hard to fake; tax records	Only federal aid recipients; institutional averages
LinkedIn Alumni Data	Shows career trajectory over time	Skews professional; self-selected reporting
State Wage Records	Actual earnings, broad coverage	Not available in all states; limited program detail
School-published outcomes	Institution-specific detail	Methodology often unclear; incentive to inflate

Questions Worth Asking Before You Commit

You can do much of this research independently, but there's no substitute for pressing admissions offices directly. A school that takes outcomes data seriously will have clear answers. One that doesn't will hedge, redirect, or point you to a brochure.

Ask these five questions specifically:

1. What is your knowledge rate for the most recent graduating class? (Not response rate — knowledge rate. If they don't know the difference, that tells you something.)
2. Do your employment figures include part-time and temporary positions, or full-time only?
3. What percentage of employed graduates are working in jobs related to their degree field?
4. Can you share median salary data for my specific program, not the school overall?
5. Do you have three-year or five-year post-graduation data?

Some schools will answer all five clearly and quickly. Many will answer two or three with confidence and stumble on the rest. That gap is itself useful information — schools that rigorously track outcomes know their numbers cold.

Bottom Line

College alumni employment data is a marketing output first and a research tool second, unless you know how to push past the headline numbers.

• Always ask for the knowledge rate, not just the response rate. A 92% employment rate based on 25% of graduates is statistically meaningless.
• Use program-level data, not institutional averages. Engineering and education outcomes at the same school can differ by $60,000 or more in annual salary — a school-wide median hides all of it.
• Cross-reference at least two independent sources. The College Scorecard gives you IRS-based earnings data; state wage records and LinkedIn give you trajectory and placement quality.
• Flag any report that bundles "employed or continuing education" without separating the two, doesn't disclose its methodology, or sources salaries from labor projections instead of actual graduates.

The most trustworthy outcome data comes from schools that use wage records or licensing databases to verify graduate status rather than relying on voluntary surveys alone. Ask whether your school of interest does this. The answer tells you a lot about how seriously they take accountability to their own students.

Frequently Asked Questions

What employment rate should I expect from a good college?

NACE data from the Class of 2024 shows roughly 86% of bachelor's degree graduates were employed or enrolled in further education within six months of graduation. A school reporting significantly below that warrants investigation; one claiming above 95% warrants scrutiny about what exactly they're counting. The more useful benchmark is field-specific — compare a nursing program's outcomes to other nursing programs at peer institutions, not to a school's all-majors rate.

What's the difference between a response rate and a knowledge rate?

A response rate is the percentage of graduates who filled out a survey. A knowledge rate is the percentage whose post-graduation outcome (employed, in grad school, military service, still seeking, etc.) is confirmed through any source — surveys, LinkedIn checks, employer data, licensing databases, or registrar records. NACE targets a 65% knowledge rate. If a school can only tell you their survey response rate and it's below 50%, you should treat their employment statistics cautiously.

Is the College Scorecard reliable for comparing schools?

It's a solid starting point with a notable blind spot: it only includes students who received federal financial aid, which excludes wealthier graduates who tend to earn more. This systematically skews comparisons between schools with different student populations. The Brookings Institution found a -0.56 correlation between Scorecard earnings and Pell Grant recipient share — meaning schools serving lower-income students show lower reported earnings even when they're adding equal educational value. Use program-level Scorecard data as one input, weighted alongside other sources.

Are schools legally required to report employment data accurately?

Outside of specific contexts — law schools face American Bar Association audits, and some for-profit programs fall under federal gainful employment rules — most colleges face no independent verification of reported outcomes. The Hechinger Report documented cases where schools counted temporary university-sponsored positions as graduate placements and reported salary projections as if they were actual alumni earnings. There is no universal audit mechanism for four-year college employment statistics.

Does underemployment show up in college employment data?

Rarely, and this is one of the most significant gaps. Bureau of Labor Statistics data shows that underemployment among recent college graduates — meaning graduates working jobs that don't require a degree — has exceeded 40% in some recent graduate cohorts. Most first-destination surveys report employment without screening for whether the job is degree-appropriate. If an outcomes report doesn't address field-relevance or underemployment separately, you're not seeing the full picture of what graduates are actually doing.

How do I find salary data for a specific major at a specific school?

The College Scorecard (collegescorecard.ed.gov) now covers more than 45,000 programs and lets you filter by institution and field of study. It reports median earnings roughly four years post-graduation using IRS records. For an even more current view, search LinkedIn for alumni of the program, filter by graduation year (graduating classes two to five years ago give the most useful signal), and look at what roles and companies appear. Cross-referencing both gives you a more complete picture than either source alone.

Sources

• Placement rates, other data colleges provide consumers are often alternative facts — Hechinger Report
• A viral chart on recent graduate unemployment is misleading — Economic Innovation Group
• Deconstructing and Reconstructing the College Scorecard — Brookings Institution
• Alumni Career Outcomes: How to Track & Measure It in 2025 — Edular by KlassApps
• Fast Facts: Employment after degree — National Center for Education Statistics
• Graduate Outcomes — Job Market — NACE
• Employment status of recent associate degree recipients and college graduates — Bureau of Labor Statistics