Common ILR Error Codes and Apprenticeship Data Errors Explained
Accurate Individualised Learner Record data is essential to apprenticeship funding, performance reporting and regulatory compliance.
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A single incorrect date, missing field or inconsistent learner record can prevent an ILR submission from passing validation. Other errors may not stop the file from being accepted but can still result in incorrect funding, unreliable performance data or concerns during a funding assurance review.
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Training providers therefore need to understand not only how to clear ILR error codes, but also how to identify data that is technically valid yet inconsistent with the learner file, apprenticeship service or funding evidence.
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Skills Office Network helps training providers investigate validation errors, reconcile apprenticeship data and establish reliable monthly submission processes.
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Table of Content:
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What Is an ILR Error Code?
An ILR error code is generated when learner data fails one of the validation rules applied by the Department for Education’s Submit Learner Data service or the Funding Information System.
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The official ILR validation rules test whether:
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A mandatory field has been completed
A value is included in the current ILR specification
A code was valid on the relevant date
Dates follow a logical sequence
Related fields are consistent
Records relating to the same learner or programme agree
The information meets the requirements of the relevant funding model
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Providers should always investigate an error using the validation rules for the correct academic year. A code or field combination accepted in one funding year may be amended, replaced or withdrawn in the next.
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ILR Errors and Warnings Are Not the Same
Validation results may contain both errors and warnings. They should not be treated in the same way, but both require attention.
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ILR Error | ILR Warning | |
What it means | The data is incomplete, invalid or logically inconsistent | The data is unusual and requires investigation |
Submission impact | The affected record may not be accepted or processed | The record may still be accepted |
Required action | Identify the cause and correct inaccurate data | Confirm whether the unusual value is accurate |
Evidence needed | The corrected value must agree with source evidence | A valid exception needs evidence and an explanation |
Can it be ignored? | No | No |
Audit trail | Record the correction and any funding impact | Record why the warning was reviewed and accepted |
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An error should not be cleared by selecting a different code simply because the alternative value passes validation. The revised information must accurately reflect the learner’s circumstances and be supported by evidence.
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A warning should never be ignored merely because it does not prevent submission. Both errors and warnings should form part of the provider’s monthly data-quality process.
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Skills Office Network can help providers distinguish genuine coding errors from valid exceptions and establish an auditable record of the checks completed.
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How ILR Error Codes Are Structured
ILR validation codes generally indicate the field, entity or type of validation being applied.
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They may include:
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Field-level rules that test whether an individual value is valid
Cross-field rules that examine whether two or more fields are compatible
Cross-record rules that test relationships between different aims or learner records
Rules beginning with FD_ that identify failures against the ILR schema or required field format
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The short error message does not always explain the complete cause.
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Providers should open the full validation rule and review:
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The error message
The purpose or intent of the rule
The affected ILR fields
The detailed error condition
The rule severity
The applicable funding year
The rule version and change history
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This reduces the risk of correcting one field while leaving the underlying inconsistency unresolved.
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Common ILR Error Categories
Individual validation codes change as the ILR specification develops, but the underlying causes usually fall into several recurring categories.
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Error Category | What to Check | Main Risk |
Invalid or expired codes | Current ILR specification and code validity dates | Rejected or inaccurate learner record |
Missing mandatory fields | Funding model, programme type and related fields | Record may fail validation |
Date sequence errors | Training plan, reviews, engagement and employer evidence | Incorrect funding or performance data |
Learning aim errors | Programme aim, component aims and aim validity | Incorrect programme reporting |
Employment status errors | Employment evidence, employer details and dates | Apprenticeship eligibility risk |
Financial record errors | Employer agreement, invoices, receipts and price records | Incorrect funding claim |
Duplicate records | Learner references, restarts and previous submissions | Double counting or duplicate funding |
Learning support errors | Assessed need, delivery evidence, dates and costs | Unsupported support funding |
Service mismatches | Dates, standard, employer, price and approvals | Delayed or incorrect payment |
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The category of an error can help the provider identify where the investigation should begin. It does not replace the need to read the complete validation rule and examine the underlying evidence.
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Invalid or Expired ILR Codes
An ILR field may contain a code that is not included in the current specification or was not valid on the date to which the record relates.
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This can affect fields including:
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Prior attainment
Learning delivery monitoring
Employment status monitoring
Learner funding and monitoring
Learning difficulty, disability and health information
Source of funding
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For example, the 2026/27 rule PriorAttain_03 identifies a prior-attainment value that is not valid under the relevant ILR specification.
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The correct response is not to select the nearest available option. The provider must confirm the learner’s actual prior attainment and apply the valid code that accurately represents it.
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The 2026/27 rule ESMType_11 similarly checks whether an employment status monitoring type and code were valid on the date the employment status applied.
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To resolve an invalid-code error:
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Identify the field named in the validation rule.
Check the permitted codes for the relevant funding year.
Confirm the valid-from and valid-to dates.
Compare the ILR entry with the original learner evidence.
Correct the source system only when the evidence supports the change.
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Missing Mandatory Fields
Some ILR fields become mandatory only when a particular funding model, programme type or learner circumstance applies.
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A field may therefore appear optional for one learner but generate an error for another.
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Common examples involve:
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Employment status information
Programme aim data
Apprenticeship financial records
Planned learning dates
Employer identifiers
Learning support information
Prior attainment
Learner funding and monitoring information
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When investigating a missing-field error, providers should examine the complete learner record rather than only the field named in the validation message.
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A missing value may be the consequence of another field having been coded incorrectly. Adding a value without understanding why it is required can create further inconsistencies.
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Where the same mandatory-field errors appear repeatedly, Skills Office Network can review both the affected records and the data-capture processes that created them.
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ILR Date Sequence Errors
ILR dates must form a logical and evidence-based sequence.
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Common date problems include:
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A learning start date after the planned end date
An actual end date before the learning start date
An achievement date that conflicts with completion evidence
An employment status date that does not align with the programme start
A break in learning recorded with inconsistent dates
A change of employer applied from the wrong date
A withdrawal date that does not reflect the learner’s last evidenced activity
A learning aim continuing after the programme has ended
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Dates can directly affect funding calculations, completion reporting and qualification achievement rates.
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Providers should never estimate a date or move it simply to clear a validation error. The correct date should be established from the training plan, progress reviews, attendance or engagement records, employer communication and other relevant evidence.
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Where an incorrect date has already affected a previous return, the provider should also establish whether the correction changes funding, performance reporting or another connected record.
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Learning Aim and Programme Aim Errors
Apprenticeship records normally require a programme aim and the appropriate component learning aims.
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Errors may occur when:
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The programme aim is missing
The learning aim reference is invalid
The aim was not available on the recorded start date
The programme type does not match the apprenticeship
Component aims have been recorded without the required programme aim
A closed or replaced learning aim continues to be used
A learner restart has not been recorded correctly
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Providers should confirm that each learning aim was valid on the learner’s start date and accurately represents the programme being delivered.
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A learning aim can be technically valid but still be incorrect for the individual learner. The ILR must agree with the training plan, enrolment documentation and actual delivery.
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Employment Status Errors
Employment information is particularly important for apprenticeship records because the apprentice must have an appropriate employment arrangement.
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Errors and inconsistencies can arise where:
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The employment status record is missing
The date employment status applies is incorrect
Required monitoring information has not been returned
Employer identifiers are inconsistent
A change of employer has not been recorded correctly
The learner’s employment evidence conflicts with the ILR
The ILR does not agree with the apprenticeship service
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The provider should compare the ILR with employment evidence, employer confirmation, the management information system and the apprenticeship service.
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Where an apprentice changes employer, the provider should establish the correct funding and ILR treatment before amending the record. The action required will depend on the timing and circumstances of the change.
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Apprenticeship Financial Record Errors
Apprenticeship financial records can generate validation errors or funding discrepancies when payment information is incomplete or inconsistent.
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Common problems include:
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Missing training price records
Duplicate financial records
Incorrect payment dates
Employer payment records that do not agree with invoices or receipts
Price information that differs from the apprenticeship service
Missing employer contributions
Price changes without an updated agreement
Contributions recorded against the wrong learner or employer
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The ILR should reflect the price agreed with the employer, subject to the applicable funding rules and funding band maximum.
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Providers must also retain evidence supporting employer contributions where these are required. Recording an amount in the ILR does not demonstrate that the payment was due, invoiced or received.
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An independent review can test whether ILR financial records agree with employer agreements, price negotiations, invoices, receipts and learner-file evidence.
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Duplicate Learner and Learning Records
Duplicate records can result in validation failures, double counting or incorrect funding.
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They may be caused by:
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Creating a new learner instead of updating an existing record
Changing management information systems
Re-importing previously submitted data
Recording a restart without linking it to the earlier episode
Using inconsistent learner reference numbers
Failing to reconcile data received from a delivery partner
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Providers should not immediately delete a record because it appears to be duplicated.
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They should first establish which record accurately represents the learner’s history, whether funding has already been claimed and whether the apparent duplicate is actually a valid restart or separate learning episode.
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The investigation and any resulting correction should be documented, particularly where the duplicate has affected a previous funding claim.
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Learner Identity Errors
Learner identity errors may involve:
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Unique Learner Numbers
National Insurance numbers
Learner reference numbers
Names
Dates of birth
Postcodes
Duplicate identities
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Rules beginning with FD_ may identify values that exceed the permitted field length or do not follow the format required by the ILR schema.
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For example, FD_NINumber_AL checks whether the National Insurance number returned meets the permitted field-length requirement.
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Providers should compare the ILR with reliable identity evidence and the Learning Records Service where appropriate.
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Identity information should never be invented, shortened or replaced with a generic value solely to make a record pass validation.
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Learning Support Data Errors
Learning support errors may occur where:
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A learner’s support need has not been recorded correctly
Funding is claimed without sufficient evidence of need
Support start and end dates do not reflect the actual period of delivery
Monthly claims continue after support has ended
The ILR does not agree with the support assessment
There is insufficient evidence of the support provided
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A technically valid ILR entry does not by itself demonstrate eligibility for learning support funding.
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Providers need evidence showing why support was necessary, what support was delivered, when it was delivered and how the cost was calculated.
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Skills Office Network can test learning support claims and the associated learner evidence as part of an independent funding review.
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Apprenticeship Service and ILR Mismatches
An ILR file can pass technical validation while still conflicting with the apprenticeship service.
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Potential mismatches include:
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Different learning start dates
Different planned end dates
An incorrect apprenticeship standard
Inconsistent employer details
Different training prices
Missing employer approvals
Records that have not matched to an apprenticeship service commitment
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These differences can delay payments or create funding reconciliation issues.
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Providers should reconcile the ILR, management information system and apprenticeship service every month. Reconciliation should take place before submission rather than after an unexpected funding movement appears.
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Skills Office Network can support providers with apprenticeship service reconciliation, error investigation and monthly submission checks.
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Why an Accepted ILR Can Still Be Incorrect
Passing validation does not prove that an ILR is accurate or funding-compliant.
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Technical Validation Checks | Funding Assurance Checks |
Valid field formats | Learner eligibility |
Permitted ILR codes | Genuine learning activity |
Mandatory fields | Employment evidence |
Logical date sequences | Recognition of prior learning |
Cross-field consistency | Employer contributions |
File and schema requirements | Learning support evidence |
Valid learning aim references | Withdrawal and completion evidence |
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Validation rules test whether data meets specified technical and logical conditions. They cannot always determine whether the information accurately reflects what happened.
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For example, a withdrawal date may pass validation but still be incorrect if it does not reflect the learner’s last evidenced learning activity.
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Similarly, a learning support claim may be technically valid while lacking sufficient evidence of assessed need, delivery or cost.
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Providers therefore need both technically valid data and evidence-supported funding claims.
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How to Investigate an ILR Error Correctly
A reliable investigation should follow a consistent process.
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Step 1 Identify the error code
Read the complete validation rule for the correct academic year.
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Do not rely only on the short message displayed in the rule violation report.
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Step 2 Identify every affected field
Some rules test several fields or records. Changing only the field named in the code may not resolve the underlying issue.
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Step 3 Review the source evidence
Compare the ILR with the original learner, employer and delivery records.
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Relevant evidence may include:
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Application and enrolment records
Initial assessment
Recognition of prior learning assessment
Training plan
Employment evidence
Employer agreement
Price negotiation evidence
Progress reviews
Attendance or engagement records
Break-in-learning documentation
Withdrawal or completion evidence
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Step 4 Confirm the funding-rule position
A technically possible amendment may still be inconsistent with the apprenticeship funding rules.
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Providers should confirm that the revised record remains an accurate representation of the learner’s eligibility, employment and delivery.
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Step 5 Correct the source system
Corrections should normally be made in the management information system rather than only in the exported XML file.
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This preserves the audit trail and prevents the error from returning in the next submission.
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Step 6 Document the correction
Material amendments should be documented.
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The correction record should show:
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What was incorrect
Why the error occurred
What evidence was checked
What change was made
Who authorised the change
When the amendment was completed
Whether funding was affected
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Using PDSAT to Identify Apprenticeship Data Errors
The Provider Data Self-Assessment Toolkit analyses ILR data and produces reports that help providers identify unusual or potentially incorrect records.
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The Department for Education recommends reviewing and correcting ILR errors and warnings before processing the file in PDSAT.
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PDSAT reports may highlight:
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Unexpected funding values
Duplicate records
Unusual programme durations
Inconsistent learner dates
Missing or unusual employment information
Potentially unsupported funding claims
Records requiring evidence sampling
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A PDSAT exception does not automatically mean that the record is incorrect.
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Each exception should be investigated. Incorrect records should be corrected, while valid exceptions should be supported by evidence and a documented explanation.
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The Department for Education encourages providers to use PDSAT regularly throughout the year as part of routine data cleansing and preparation for funding assurance activity.
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Monthly ILR Data Quality Checklist
Use this checklist before every ILR submission and retain evidence of the review and management approval.
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Monthly Control | Done | Evidence to Retain |
Update learner and delivery information in the MIS | ☐ | MIS update record |
Reconcile the ILR with the apprenticeship service | ☐ | Reconciliation report |
Run the current ILR validation rules | ☐ | Rule violation report |
Investigate and correct every validation error | ☐ | Error log and correction record |
Review and document warnings | ☐ | Warning review log |
Review unexpected funding movements | ☐ | Funding variance report |
Run relevant PDSAT reports | ☐ | Reports and investigation notes |
Sample high-risk learner records | ☐ | Sampling record and findings |
Review unresolved exceptions | ☐ | Exception tracker |
Obtain management approval | ☐ | Submission approval record |
Report significant risks | ☐ | Management or board report |
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Data-quality findings should be visible to senior leaders and governors.
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Repeated errors may indicate weaknesses in enrolment, staff training, employer engagement, delivery processes or management oversight rather than an isolated MIS problem.
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Skills Office Network can help boards establish proportionate reporting for ILR accuracy, funding exposure and unresolved data exceptions.
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When External ILR Support May Be Needed
External support may be appropriate where:
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Error volumes remain consistently high
The same errors recur each month
Staff cannot identify the original source of an error
ILR data does not reconcile with the apprenticeship service
Funding reports contain unexplained movements
The provider is approaching an important submission deadline
A key MIS employee has left
The organisation is changing management information systems
Delivery is growing rapidly
A funding assurance review has been announced
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Skills Office Network combines technical ILR support with apprenticeship funding expertise. This helps providers resolve immediate submission problems while strengthening the processes and controls that caused them.
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How Skills Office Network Can Help
Skills Office Network supports apprenticeship providers with:
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ILR validation and error investigation
Monthly ILR submission support
Apprenticeship service reconciliation
PDSAT and funding-report analysis
Learner-file sampling
Funding-rule compliance checks
Data-quality improvement planning
Staff guidance and process development
Preparation for Department for Education funding assurance activity
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Support can focus on a particular data issue, provide additional capacity during a difficult return or examine the provider’s wider ILR control environment.
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For ongoing technical and submission support:
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For a broader review of learner evidence and funding exposure:
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Final ILR Error Checklist
Before submitting an ILR return, confirm that:
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The current funding year’s specification and validation rules have been used
Every validation error has been investigated and corrected
Warnings have been reviewed and documented
Learner dates follow a logical and evidenced sequence
Learning aims were valid on the relevant start dates
Employment information is current and complete
Financial records agree with employer evidence
The ILR reconciles with the apprenticeship service
Funding reports have been reviewed for unexpected changes
Relevant PDSAT reports have been investigated
Corrections have been made in the source system
Material amendments have a clear audit trail
Senior management has visibility of significant data-quality risks
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Accurate ILR data protects funding, supports reliable performance reporting and helps providers demonstrate effective control of apprenticeship delivery.
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The objective should not be merely to produce a file with no validation errors. The objective is to maintain an ILR that is technically valid, factually accurate and fully supported by evidence.
