The Data Cube
2025/26 Recruitment Cycle
The
Verification
Gap
What a representative sample of 17,663 qualification checks reveals about where fraud risk is actually sitting in UK higher education this cycle, and how admissions, compliance and recruitment teams can respond without penalising genuine applicants.
International recruitment is under closer scrutiny from regulators, government and the media. This report uses verification data to show where the risk actually sits this cycle, and where it does not.
Across this representative sample, more qualifications carried a fraud signal than at the same point last cycle: 3.95% against 2.86%. The more useful story sits underneath that headline. Risk is not spread evenly. It concentrates in particular qualification origins, document types, and parts of the sector.
Throughout, a cycle means the 2026 intake: checks completed between October 2025 and June 2026. Both years are read at the same point in their cycle, so the comparison is like for like.
With UKVI tightening thresholds around the Basic Compliance Assessment, universities are trying to avoid two bad outcomes at once: adding needless friction for genuine applicants, and missing issues that later surface as compliance or reputational problems. Deciding where to tighten, and where not to, needs something firmer than instinct.
That is what this briefing is for. Every figure comes from QC's Data Cube. Where a number rests on a small sample, we say so. Where a gap looks alarming but reflects qualification mix rather than performance, we show the like-for-like comparison. The aim is evidence you could put in front of a registrar or an auditor.
Use our new free qualification and risk self-assessment tool to see how exposed your institution is to admissions fraud and verification risk — with recommendations and actions on what to do next.
The insight centre behind this sample
The Data Cube is Qualification Check's insight centre which hosts hundreds of thousands of annual checks. It sits behind the scenes and brings together checks from across our institutional customers, so patterns that no single institution could see on its own become clear at sector scale. Every figure in this report is drawn from a representative sample of 17,663 checks across 40 institutions.
What we measured, and what stands out
The analysis uses a representative sample of 17,663 qualification checks from 40 university customers, drawn from the Data Cube. Each check resolves to one of three outcomes: Verified, Not Verified (the issuing body could not confirm the qualification) or Rejected (withdrawn, abandoned, or unresolved). To compare cycles fairly, each year is read as a live snapshot at the same point in time.
A Rejected case is not confirmed fraud. It can be an honest error, a poor scan, or a missing document. We only treat a rejection as a fraud signal once it has stayed unresolved for 45 days (we call this "matured"). The fraud signal is therefore Not Verified plus matured Rejected, a conservative measure of genuine integrity risk rather than a count of confirmed fraud.
| Metric, as a share of checks | 2025/26 to Jun | 2024/25 to Jun | Change |
|---|---|---|---|
| Verified | 96.05% | 97.14% | -1.09 pts |
| Not Verified | 0.99% | 1.23% | -0.24 pts |
| Matured Rejected | 2.96% | 1.63% | +1.33 pts |
| Fraud signal rate | 3.95% | 2.86% | +1.09 pts |
Coverage: a representative sample from 40 university customers this cycle, spanning Russell Group and post-92 universities and specialist providers, with several of the largest UK institutions newly included. This report covers university degree verifications only, excluding identity and school-level checks, so the figures are a clean read of qualification fraud. Qualifications were checked from more than 60 origin countries. Applicant country means country of residence. Institute country means where the qualification itself was issued, which is the lens that matters for fraud and the one this report uses throughout.
The origins growing fastest are also the riskiest
Within the sample, checks on Nigerian, Bangladeshi and Kenyan qualifications grew fastest year on year, and the same three origins carry some of the highest fraud signal rates: 8.0%, 9.5% and 10.3%. Whatever is driving that growth deserves as much attention as the growth itself.
The signal shifted from "cannot verify" to "did not resolve"
Last cycle, Not Verified and matured Rejected cases were close to balanced. This cycle, matured Rejections nearly doubled as a share and now make up 75% of the fraud signal. More applicants are walking away part-way through a check, which is a different problem from a document that fails verification.
India is a document-authenticity story of its own
India alone accounts for 52% of all Not Verified outcomes this cycle. This is a different pattern from West Africa, where the risk shows up as checks that start but never resolve, rather than a failed verification.
A few origins rose sharply on small numbers
Kenya climbed to 10.3% (from 2.9%) and Bangladesh to 9.5% (from 2.6%). These rest on smaller samples, so treat the sharpest movers as an early watchlist rather than a settled trend. The direction is consistent though.
Fraud signal rate by month, 2025/26
For admissions teams
Admissions teams sit at the front line. They decide which qualifications to trust, and how much friction to add. The findings below show where that judgement matters most, and where extra checking adds cost without adding protection. But this cycle points to a second, arguably bigger job for admissions: conversion. With matured Rejections rising, the applicants being lost are increasingly ones who simply did not finish the process, not confirmed fraudsters. Getting them through is where much of the value now sits. The findings are split into two views: principles that apply across all origins, and findings tied to specific qualification origins.
Use the qualification's origin, not the applicant's address, as your risk signal
The better predictor of fraud is where the qualification was issued, not where the applicant lives now.
Recover applicants who stop responding before you reject them
A meaningful share of failed checks are not fraud at all. They are genuine applicants who stopped responding when asked for something extra, then ran out of time. Treat these the same as document fraud and you lose real offer-holders.
Match the level of checking to the qualification origin
Qualifications from China (1.3%), the US (1.1%) and the UK (2.2%) come back clean at high volume. These still need verifying, but they rarely need heavy manual review, and adding it slows genuine applicants without catching more fraud.
Verify earlier in the cycle
The fraud signal runs highest from October to December, the window when early and deferred applicants come through. Verifying late leaves less time to resolve genuine issues. Our previous analysis has also shown that fraudsters may target later in the cycle, when teams are under pressure and checks are more likely to be rushed.
Build a dedicated India document-verification track
India is the single largest source of Not Verified outcomes, at 52%, and its fraud signal rate rose to 4.2%. The problem with Indian checks is document authenticity at source, not late dropout.52% of all Not Verified cases
Get ahead of the fastest-rising qualification origins
Pakistan rose to 7.3%, and Bangladesh jumped to 9.5% from 2.6% as its volume more than tripled. These are fast-growing qualification origins that are becoming higher risk.
Fraud signal rate by qualification origin, year on year
Watchlist origins such as Kenya and Saudi Arabia should be read with caution, since each rests on a smaller sample.
For compliance teams
Compliance owns the institution's standing with UKVI and the OfS. Read correctly, the Data Cube works as an early warning system for the Basic Compliance Assessment.
Watch unresolved checks as your early warning sign
Checks that start but never complete rose sharply this cycle. These unresolved cases are the same group that, further down the line, becomes refused CAS, withdrawn enrolments and visa curtailment risk. They move before your refusal rates do.
Report the conservative number, and explain it
Our method deliberately leaves out very recent rejections that may still resolve, waiting 45 days before counting them. This protects you from overstating fraud, but only if the people you report to understand why recent months look lower.
Do not let a blended rate hide concentration
An institution-wide rate of 3.95% can hide qualification origins running above 10%. Regulators increasingly look at the spread, not just the average.
Differentiate by qualification, not by nationality
Risk attaches to the qualification and the body that issued it, not to the person holding it. Blanket rules based on nationality are unfair to genuine applicants, and hard to defend if a regulator asks you to justify them.
India is your document-authenticity exposure
With 52% of Not Verified cases, India is where the "we could not confirm this qualification" risk sits. That is a different audit conversation from an applicant who simply dropped out.
Track West African applicants through to a final outcome
Nigerian and Ghanaian checks are weighted towards cases that start but never resolve, the group most visible to UKVI in refusal and curtailment data.
How the fraud signal has changed in shape
Rising non-completion is the metric to watch. Our free self-assessment shows how exposed your institution is to risk, so you can spot trouble before it reaches your BCA.
For recruitment teams
Recruitment carries a hard tension right now: hitting international targets while making sure the applicants behind them are credible. The data suggests these goals can work together, as long as growth is steered rather than simply chased.
Where you grew this year shaped your risk this year
In this sample, the qualification origins that grew fastest in volume, Nigeria, Bangladesh and Kenya, were also among those with the highest fraud signal rates. That makes this a recruitment-channel question as much as an admissions one.
Do not let growth lean on a handful of higher-risk origins
An intake built around a small number of higher-risk qualification origins concentrates both compliance and financial exposure, and leaves little room to move if visa policy tightens mid-cycle.
Clean verification results are a better method of risk management than pre-CAS non-refundable deposits
Some institutions have turned to pre-CAS non-refundable deposits as a way to manage risk. The trouble is that deposits can push away genuine applicants, feed into visa refusal rates, and generate negative PR without addressing the underlying risk. Better pre-CAS risk and readiness checks target the actual problem: whether an applicant and their qualifications stand up to scrutiny.
Applicants who drop out can point to recruitment quality
When applicants disengage as soon as they are asked to verify, it often traces back to how they were recruited and what they were promised.
Grow these high-volume markets with eyes open
Nigeria, Bangladesh and Pakistan are among the biggest sources of growth, but they carry signal rates of 7.3% to 9.5%. The answer is not to stop recruiting, but to recruit and verify together.
India is high-volume, high-value and high-scrutiny
India's document-authenticity issue means recruitment quality feeds straight into compliance. The market is too important to mishandle in either direction.
Russell Group vs non-Russell Group
The same pattern repeats, even more clearly, and with one extra twist that matters for how each part of the sector should respond.
Fraud signal rate, Russell Group vs non-Russell Group
Non-Russell Group providers run a 7.40% fraud signal rate, more than double the Russell Group's 3.22%. Part of this is mix: Russell Group institutions verify a higher share of UK-issued qualifications (17%) than non-Russell Group providers (8%).
Like for like, the difference remains. Comparing overseas qualifications only, non-Russell Group sits at 7.75% against the Russell Group's 3.47%. The easy explanation is that the two tiers recruit from different pools, and that is partly true. But the more useful finding is what happens when both tiers check the same origin.
The two tiers face different kinds of risk. On Indian qualifications, non-Russell Group providers see a 7.1% Not Verified rate, meaning documents that could not be authenticated. Russell Group institutions checking the same origin see just 0.7%. Non-Russell Group providers are carrying much of the sector's document-fraud exposure, while Russell Group risk leans more towards applicant dropout.
Non-Russell Group providers are carrying more of the sector's document-fraud exposure, and that exposure is something UKVI use in a Basic Compliance Assessment. By having a more vigorous and defendable verification record it can become a genuine recruitment asset, a signal of quality that reassures agents and partners. For institutions under budget pressure, the challenge is do you stop recruiting from some countries altogether (not data driven), or invest in long term scalable verification that provides reassurance to your teams and auditors?
Identity checks stand on their own
Alongside qualification verification, the Data Cube now holds a growing volume of identity checks, where the applicant's identity is confirmed rather than a qualification. These behave very differently, so we report them separately rather than blending them into the fraud figures above. This is a 2025/26 view, since identity checks were not run at meaningful volume last cycle.
Identity checks are low-risk and high-volume
At a 1.3% signal rate against 3.9% for qualification checks, identity verification resolves cleanly. Almost none were genuine document-authenticity failures, and the small signal that exists is non-completion, not fraud. Adoption is still early, so read the 1.3% as a first indication rather than a settled sector benchmark.
It is a natural companion to qualification verification
Identity and qualification checks answer different questions: who the applicant is, and what they have achieved. Together they close a gap that either one alone leaves open. Identity checks are also a great mechanism for supporting enrolment, giving teams a fast, reliable confirmation of who is turning up.
Sector benchmarks are useful. Your own data is where decisions get made.
This report shows the sector view from the Data Cube. Our free self-assessment shows where your own institution stands: your qualification origins, your unresolved cases, your trend across the cycle.
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