Public bodies across the UK lose hundreds of millions each year to fraud and error in payroll, pensions, housing, benefits, and supplier payments. Since 1996 the National Fraud Initiative has helped recover or prevent nearly £3 billion of that loss. Between April 2022 and March 2024 alone it delivered £510 million in outcomes, its strongest two-year result to date.
This guide explains how the National Fraud Initiative works, why data matching remains one of the most effective tools against systemic fraud, and how public sector bodies and private organisations can take part, stay compliant, and maximise results. Whether you manage fraud risk in a local authority, NHS trust, police force, or financial institution, understanding the NFI helps protect public funds and strengthen your counter-fraud controls.
What Is the National Fraud Initiative?
The National Fraud Initiative is a large-scale data matching exercise run by the Public Sector Fraud Authority, part of the Cabinet Office. It compares electronic records held by more than 1,100 public and private sector organisations to highlight inconsistencies that may point to fraud, error, or overpayment.
A match does not automatically mean fraud has occurred. It simply flags information that does not line up, for example a person appearing on a pension payroll after death, or the same bank account receiving payments from two different local authorities. Participating bodies then investigate the matches and decide what action to take.
The initiative began as a pilot in 1993 with a handful of London boroughs. It became a national programme in 1996 under the Audit Commission and transferred to the Cabinet Office in 2015 after the Commission closed. Today it sits within the Public Sector Fraud Authority and forms a core part of the government’s wider counter-fraud work.
Mandatory participants include local authorities, NHS trusts and foundation trusts, police authorities, fire and rescue services, and many other public bodies listed in the Local Audit and Accountability Act 2014. Private sector organisations, housing associations, and central government departments can join voluntarily and use additional services.
How Does the National Fraud Initiative Work?
The core process is straightforward and follows a clear cycle.
Data Submission
Participating bodies upload specified datasets through a secure web application. Public sector organisations must meet published data specifications and deadlines. Common mandatory or core datasets include:
- Payroll
- Pensions
- Trade creditors’ standing data and payment history
- Housing tenants and right-to-buy applications
- Housing waiting lists
- Council tax and council tax reduction scheme
- Electoral register (for single person discount checks)
- Blue badge data
Central government and voluntary participants often submit payroll and trade creditors data. Housing benefit data is usually collected centrally from the Department for Work and Pensions.
Data must follow the exact format required. Poor quality submissions reduce the value of matches and can create unnecessary investigation work.
The Matching Process
Once data is received, the NFI system compares records within and between organisations. Matching looks for common identifiers such as name, date of birth, National Insurance number, address, or bank account details. It also identifies patterns that suggest risk, for example multiple people claiming the same address for council tax single person discount.
The Cabinet Office only matches datasets where there is reasonable evidence that the comparison can help prevent or detect fraud, recover debt, or correct error. This is governed by the statutory framework and the Code of Data Matching Practice.
Matches are prioritised so that higher-risk cases appear first. The system does not make automated decisions about individuals. It simply produces lists for human review.
Investigation and Outcomes
Participating bodies receive their matches through the secure NFI web application. They must investigate them, record the results, and take appropriate action. That action can include:
- Stopping overpayments
- Recovering money already paid
- Correcting records
- Prosecuting fraud where evidence supports it
- Removing false applicants from housing waiting lists
- Cancelling blue badges issued to deceased persons
Outcomes are reported back into the system. These figures feed into the national reports that track total savings and improvements over time.
The main national exercise runs every two years. Council tax data is matched more frequently (usually annually), and mortality screening for pensions is available on a more regular basis. Additional products such as FraudHub, AppCheck, and ReCheck allow more flexible or real-time checks outside the main cycle.
Legal Framework and the Code of Data Matching Practice
The legal power for the National Fraud Initiative sits in Part 6 of the Local Audit and Accountability Act 2014. This allows the Minister for the Cabinet Office to require certain public bodies to provide data for matching exercises aimed at preventing and detecting fraud. Consent from individuals is not required because the processing is carried out under statutory authority and is necessary for a task in the public interest.
A statutory Code of Data Matching Practice governs how the exercises must be run. The current Code was laid before Parliament in 2018 and replaced an earlier version from the Audit Commission. It sets out standards for:
- Fairness and transparency
- Data quality and security
- Retention and deletion
- The rights of individuals
- The responsibilities of participating bodies
All organisations involved must have regard to the Code. Data Protection Officers play a key role in ensuring local compliance.
Participants must issue clear privacy notices (sometimes called fair processing notices) that explain how personal data may be used in the National Fraud Initiative. These notices should be provided to people when they apply for services, claim benefits, or join payroll and pension schemes. The NFI itself publishes a detailed privacy notice on GOV.UK that covers the types of data processed and individuals’ rights under UK GDPR.
Data is held securely and deleted according to a published schedule once it is no longer needed for matching or investigation purposes. Security standards meet UK government requirements for handling sensitive information.
Why Data Matching Matters for Risk Reduction
Fraud against the public purse is often opportunistic and hard to spot from a single organisation’s records. Someone can claim housing benefit in one area while working under a different name elsewhere, or continue receiving a pension after the recipient has died. Cross-organisational matching surfaces these inconsistencies at scale.
Real-world examples illustrate the value:
- Mortality screening regularly identifies pensions still being paid to deceased individuals. In one recent reporting period England alone saw thousands of such cases with substantial financial impact.
- Council tax single person discount checks uncover households where more than one adult is living at the property.
- Housing waiting list and tenancy matches help recover properties that have been illegally sublet or obtained through false applications.
- Trade payables analysis can reveal duplicate payments, fictitious suppliers, or employees with conflicts of interest.
- Payroll matching can highlight individuals working for more than one public body in ways that breach rules or indicate undeclared secondary employment.
These detections free resources for genuine service users and create a deterrent effect. Organisations that treat NFI matches as a routine part of their control environment tend to recover more money and strengthen their internal processes over time.
Private sector partners also benefit. Banks, insurers, and utility companies use NFI services to screen applications and existing customer data, reducing their own fraud losses while contributing data that improves public sector detection.
Key Datasets and Match Types
Different bodies face different fraud risks, so the match types vary. Typical high-value areas include:
Payroll and pension fraud. Matching identifies employees or pensioners who appear on multiple public sector payrolls, or whose records conflict with death data.
Electoral register matching. Used mainly to test single person discount claims against the presence of other adults on the electoral roll.
Trade payables analysis. Compares creditor records across organisations and looks for unusual patterns such as the same bank account linked to multiple suppliers or employees.
Housing and benefits. Cross-checks tenants, waiting list applicants, right-to-buy cases, and benefit claims against other datasets to spot illegal subletting, false applications, or dual claims.
Blue badges and licences. Identifies badges still in circulation after the holder has died, or licences held by people who should not have them.
The NFI publishes guidance on which match types apply to each category of participating body. Bodies should review this guidance and focus investigation effort on the highest-risk reports first.
Benefits for Local Councils and Public Bodies
Local authorities often see the largest absolute savings because they administer so many of the high-risk datasets. Benefits include:
- Direct financial recovery and prevention of future losses
- Better data quality across systems
- Stronger audit and accountability evidence for external auditors
- Support for counter fraud standards and risk registers
- Ability to demonstrate effective use of resources to taxpayers and regulators
Many councils report that regular participation improves internal collaboration between revenues, housing, payroll, and fraud teams. The secure web application also provides tools for recording outcomes and generating management reports.
Private financial institutions gain access to screening services that can check new credit applications in near real time or batch-screen existing customer books. Pension schemes use mortality screening as a cost-effective alternative to traditional life certification exercises.
Practical Steps for Compliance and Effective Use
Organisations that get the most from the National Fraud Initiative follow a few practical disciplines.
- Appoint a clear key contact and ensure enough trained users have access to the web application.
- Treat data quality as a priority. Clean, well-formatted submissions produce better matches and fewer false positives.
- Issue and maintain up-to-date privacy notices that reference the National Fraud Initiative.
- Investigate matches promptly and record outcomes accurately. Incomplete recording understates the true impact of the exercise.
- Use the full range of available services: the biennial national exercise, annual council tax matching, FraudHub for ongoing collaboration, and AppCheck or ReCheck for more flexible or point-of-application checks.
- Feed lessons learned back into internal controls so the same issues do not reappear in the next cycle.
- Stay in touch with the NFI team for guidance on data specifications, timetables, and emerging match types.
Contact details and the latest guidance are published on GOV.UK under the National Fraud Initiative collection. Bodies in Scotland, Wales, and Northern Ireland work with their respective audit offices, which run parallel exercises under similar legal frameworks.
Recent Outcomes and the Path Ahead
The 2022–2024 National Fraud Initiative Report confirmed £510.1 million in outcomes across the UK, with England accounting for the large majority. Average value per case rose compared with previous cycles, showing that matching is becoming more precise. Cumulative results since the mid-1990s now stand at approximately £2.9 billion.
In 2024/25 the Public Sector Fraud Authority reported further strong performance, including tens of thousands of blue badges cancelled, thousands of incorrect council tax claims stopped, and hundreds of social housing properties recovered. Private sector partners also recorded substantial savings.
A new National Fraud Initiative strategy published in 2025 sets out ambitions for the next four years. It focuses on innovation, wider data access, better training and support for participants, and stronger partnerships across sectors while maintaining high standards of data security.
These developments matter for fraud prevention managers and compliance officers. The NFI is not a static biennial event. It is evolving into a more continuous, insight-driven service that organisations can use both for detection and for prevention at the point of application.
Conclusion
The National Fraud Initiative remains one of the most powerful tools available for reducing public sector fraud and error through systematic data matching. By bringing together payroll, pension, housing, council tax, creditor, and other records from across the country, it surfaces risks that no single organisation could see alone. The legal framework is clear, the privacy safeguards are published, and the financial results speak for themselves.
For public bodies the practical steps are straightforward: submit clean data on time, investigate matches thoroughly, record outcomes, and use the full suite of services. Doing so protects public funds, improves data quality, and supports wider counter-fraud standards. Citizens and taxpayers benefit when money that would otherwise be lost is redirected to genuine services.
If your organisation participates in the National Fraud Initiative, review your latest match reports, privacy notices, and investigation processes this quarter. If you are not yet involved and your sector is eligible, contact the NFI team to explore the options. Strong data matching is not just compliance. It is effective risk reduction.
Frequently Asked Questions
What is the National Fraud Initiative?
It is a Cabinet Office data matching exercise that compares electronic records from public and private sector bodies to help prevent and detect fraud and error.
Is participation mandatory?
Yes for many public sector bodies listed in the Local Audit and Accountability Act 2014, including local authorities, NHS trusts, and police authorities. Other organisations can join voluntarily.
Does the NFI need my consent to use my data?
No. Processing is carried out under statutory powers for the purpose of preventing and detecting fraud. Organisations must still provide clear privacy notices.
How often does the main exercise take place?
The core national exercise runs every two years. Council tax matching is usually annual, and some mortality screening happens more frequently.
What happens if a match is found against my details?
The relevant organisation investigates. A match is only an indicator of possible inconsistency. Many matches turn out to be errors or have innocent explanations.
Where can I find the Code of Data Matching Practice?
It is published on GOV.UK along with the privacy notice, data specifications, and national reports.
Can private companies use the National Fraud Initiative?
Yes. Services such as payroll screening, trade creditors screening, mortality screening, and real-time application checks are available to private and voluntary sector organisations.
