Peer benchmarking

Your peers, in plain English, on data you can actually trust

Peer benchmarking compares your institution's IPEDS results against a self-selected group of similar institutions. Ask Clema how you stack up against any peer set and get a sourced answer in minutes. A lean IR team can benchmark enrollment, retention, graduation, finance, and faculty without pulling IPEDS files by hand.

No new headcount. No raw IPEDS file wrangling.

Why benchmarking eats your week

Every comparison starts the same way: defining who counts as a peer, then pulling the same IPEDS variables for each one and reconciling them into a single table. The federal baseline for this is the NCES IPEDS Data Center and its Compare Institutions tool, which export raw variables you still have to align by hand.

Building the peer set

Strategic peers, admissions competitors, and Carnegie classification peers are three different lists, and they shift on multi-year cycles. Deciding who counts as a peer is its own project before any number gets pulled.

Pulling comparable data

IPEDS files arrive as separate survey components with their own keys. Cleaning and aligning them so the numbers line up is, in many IR directors’ words, the most overwhelming part of the job.

Doing it again next cycle

The work resets for every board deck, accreditation self-study, and cabinet request. The peer set drifts, the variables update, and the manual assembly starts over.

What you can put side by side

Ask in plain English; Clema pulls the matching IPEDS variables for every institution in your set. All six dimensions map to specific IPEDS survey components.

01

Enrollment and demographics

Headcount, full-time and part-time mix, first-time entering cohorts, and student composition across your peer set.

02

Retention and graduation

First-year retention, 150 percent and 200 percent completion, and outcomes by cohort, mapped to the IPEDS outcome surveys.

03

Finance

Tuition and fees, core revenues and expenses, and net price, pulled from the IPEDS finance components.

04

Faculty and staff

Instructional staff counts, full-time to part-time ratios, and salary context from the human resources survey.

05

Affordability and aid

Published price, average net price, and Pell coverage, so affordability comparisons stay grounded in reported figures.

06

Admissions and selectivity

Applications, admit and yield rates, and test-score context where institutions report it.

Three kinds of peer questions

Benchmarking is not one job; the audience changes the question. Operational, strategic, and aspirational comparisons each serve a different stakeholder.

For the cabinet

Operational

  • How does our advising load compare with current peers?
  • Are our admin-to-faculty ratios in range for institutions our size?
  • Where do our core expenses per student sit against the group?
For the provost and board

Strategic

  • Are we closing the graduation gap with our strategic peers?
  • How does our net price trend against the schools we compete with?
  • Are we gaining or losing share of first-time enrollment?
For trustees and the president

Aspirational

  • How does an R2 like us compare with the R1 peers we aspire to?
  • On a five-year horizon, where are the largest gaps to close?
  • Which metrics define the institution we want to become?

Aspirational benchmarking is forward-looking. Your leadership still defines the target set; Clema handles the data assembly and comparison against it.

How Clema answers a peer question

Routine comparisons that took days collapse to minutes. Complex, multi-source analyses still benefit from your judgment.

01

Describe the set

Name your peers, paste a list, or describe them (public R2s in our region) and Clema assembles the group for your review.

02

Clema pulls and cleans

It retrieves the matching IPEDS components for each institution and aligns them so the numbers are genuinely comparable.

03

Get a sourced answer

Every figure shows its IPEDS source and year, so you can verify it and stand behind it.

04

Hand it to leadership

Turn the table into a plain-English narrative summary for a board deck or accreditation self-study.

Illustrative example

Sample figures, not real institution data.

MetricYour institutionPeer medianSource
First-year retention78%74%IPEDS, Fall 2024
6-year graduation rate61%58%IPEDS, Fall 2024
Average net price$18,400$19,900IPEDS, 2023 to 2024
Full-time instructional staff412438IPEDS, Fall 2024

Benchmarking that scales without new hires

Most IR shops run with one to three people. Benchmarking should not require a data engineer to sit alongside them.

Clema is the cleanup and comparison layer on top of the federal data you already rely on, so the same small team can answer more peer questions without growing.

Where the numbers come from

  • IPEDS

    Primary source: enrollment, outcomes, finance, and faculty for every U.S. institution, covering the most recent ten years.

  • Federal datasets

    College Scorecard, PSEO, STATS (FVT/GE), BLS wages and outlook, EADA, Pell, Cohort Default Rate, Campus Safety, and DAPIP, for comparisons beyond what IPEDS reports.

See a peer comparison built live.

Book a demo

Questions
IR teams ask

Primarily IPEDS, the federal database that every U.S. college and university reports to, covering enrollment, retention and graduation, finance, faculty, and admissions. Clema pulls the matching survey components for each institution in your peer set and shows the IPEDS source and year with every figure, so you can verify it. Beyond IPEDS, Clema can pull the other federal datasets it connects (College Scorecard, PSEO, STATS, BLS, EADA, and more) for the same peer set.

The manual route is the NCES IPEDS Data Center and its Compare Institutions tool: you look up each institution by UnitID, pick the survey variables, and export the results to reconcile in a spreadsheet. Clema runs the same joins on the same IPEDS data from a plain-English question, returning a sourced comparison table in minutes instead of a multi-step export.

You do. Name the institutions directly, paste an existing list, or describe the group in plain English (for example, public R2 universities in our region) and Clema assembles it for your review. Because strategic peers, admissions competitors, and Carnegie classification peers are usually three different lists, you can keep separate sets and benchmark against whichever one a question calls for.

Clema gives you a head start instead of a blank page. It reads the comparison group in your IPEDS Data Feedback Report (DFR) and the peer list published on your own website, then proposes a starting peer set for you to confirm or adjust. You can also upload your own peer list to begin. However the set starts, you stay in control of who counts as a peer.

The Data Feedback Report is an annual report from NCES that summarizes an institution's reported IPEDS data in charts and benchmarks it against a set of peer institutions, called the comparison group. NCES typically releases the standard DFR in late fall or early winter and emails it to the institution's primary IPEDS keyholder (and coordinators, if it has them), then to the president or CEO about two weeks later. It uses provisional data from the previous fall-to-spring IPEDS collection cycle. Anyone can open any institution's current and past DFRs in the Data Feedback Report tool on the IPEDS Use the Data site.

If your institution has created a custom comparison group, the standard DFR uses it, and NCES keeps using it each year until the primary IPEDS keyholder changes it. If not, NCES generates an automatic comparison group. For degree-granting institutions it is based on control, Carnegie Classification, and enrollment size; for non-degree-granting institutions, on control, largest program of study, and enrollment size. The standard report shows only one comparison group, and automatic groups can shift a little from year to year as institutional characteristics change.

Only the primary IPEDS keyholder can change the custom comparison group used in the standard DFR, in the IPEDS Data Collection System (surveys.nces.ed.gov/ipeds), using each peer's UnitID. Changes for the standard report must be made between mid-January and mid-July. Outside that window, or for a one-off comparison, anyone can build a custom DFR or a Statistical Analysis Report in the DFR tool against a group of their choice: 1 to 100 institutions, with at least 3 needed to calculate a comparison group median. In Clema you can keep several peer sets side by side and benchmark against any of them without waiting for next year's report.

Yes, for the data side. You define the aspirational target group (the institutions you want to resemble on a multi-year horizon) and Clema compares your current IPEDS metrics against theirs. The forward-looking judgment about which institutions belong in that set stays with your leadership; Clema does the data assembly and comparison.

For routine comparisons, the gap is large: work that took days of downloading, cleaning, and aligning IPEDS files becomes a question answered in minutes. Complex, multi-source analyses still benefit from your interpretation, so think of Clema as removing the repetitive data wrangling, not replacing your analytical judgment.

Both. Clema returns a sortable comparison with a peer median for context, and it can summarize the same result as a plain-English narrative for a board deck, accreditation self-study, or cabinet memo. Every number keeps its IPEDS source so the underlying figures stay defensible.

Benchmark your peers in minutes

Start free with 20 AI conversations a month, or book a demo and watch Clema build a peer comparison on your institution.