Taxi - NR3 check

What is an NR3 check?

This is an additional check carried out regarding anything that needs to be taken into consideration when processing an application to be a Private Hire or Dual Driver (Hackney) licence holder.

What is NR3?

  • NR3 stands for the National Register of Taxi and Private Hire Licence Revocations and Refusals.
  • It was launched by the Local Government Association (LGA) in 2018.
  • From April 2023, it became a statutory requirement under the Taxis and Private Hire Vehicles (Safeguarding and Road Safety) Act 2022.

What is the purpose of an NR3 check?

  • To prevent drivers who have had a licence refused, revoked, or suspended from obtaining a new licence in another area without disclosing their history.
  • To help licensing authorities determine if an applicant is a “fit and proper person” to hold a taxi or private hire licence.

How NR3 works

  • Licensing authorities record basic details of drivers whose licences were refused, revoked, or suspended.
  • When a new application is received, the authority checks the applicant’s details against the NR3 register.
  • If a match is found, the authority may request further information from the original authority before making a decision.

Information stored in NR3

  • Name, date of birth, address, contact details
  • National Insurance number, driving licence number
  • Decision taken, date of decision, and effective date
  • No reasons for the refusal/revocation/suspension are stored—only the fact that it occurred.

Who manages NR3?

  • The register is hosted by the National Anti-Fraud Network (NAFN).
  • Licensing authorities must be members of NAFN to access the register.

Legal and privacy considerations

  • Data is processed in accordance with GDPR and human rights law.

Impact on taxi drivers

  • All new and renewal applications are automatically checked against NR3.
  • If a driver has a previous refusal or revocation, it may affect their eligibility for a licence.
  • Drivers have the right to access their own NR3 data and challenge inaccuracies.